Road maps from Santa Marta: Destinations unknown

Dissecting the Fossil Fuel Transition With AI

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Today The Guardian among others reported the following

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Brazil publishes first global ‘roadmap’ for phasing out fossil fuels

COP30 host sets out steps to break link with coal, oil and gas as it aims to move focus from negotiating to implementing

The article begins with two expected paragraphs:

All countries can start to break their dependence on fossil fuels now without needing to wait for new technologies or economic changes, Brazil’s government has said ahead of a global climate summit.

Brazil, the host of last year’s UN climate conference, set out the world’s first global “roadmap” for phasing out fossil fuels on Tuesday, showing that countries could boost their economies and pull people out of poverty while breaking the link with coal, oil and gas.

But what caught my attention immediately was the third paragraph:

But Joeri Rogelj, a professor of climate science and policy at Imperial College London, said that although the Brazilian roadmaps represented a step forward, they were limited. “The roadmaps are valuable but fall short of clearly indicating the pace of change needed by including no timeline or key benchmarks,” he said.

“Because of this omission, they still leave much to be imagined about what is needed to achieve the Paris agreement’s ultimate goal: limiting global warming to well below 2C, and preferably to 1.5C, to avoid dangerous climate harm.”

And in tbe next three paragraphs was the foreshadowing of false hope:

André Corrêa do Lago, Brazil’s president of the Cop30 summit, said the roadmaps were intended to help move the annual UN Cops away from their previous focus on negotiating global agreements to tackle the climate crisis, and on to implementing the targets that had already been agreed. Cop31 takes place in Antalya, Turkey, this month.

“They are documents of implementation,” Corrêa do Lago told the Guardian in an interview. “There is a different group of people that negotiate and that implement. The problem we’ve had at many Cops is to think that the same people who negotiate might also need to coordinate the implementation – this is not the case.”

He said the roadmaps should be taken up by ministries of finance, transportation, energy and infrastructure to work on how they could be implemented in each country.

Not to be dragged into the minutia of the article, rather to move to the intended point of this post, please read the complete Guardian article if you like, and let’s move on.

Back in early May, when I first learned of the Santa Marta Fossil Fuel Treaty Initiative, I made an inquiry with Claude, a third in a series of four dissecting the issues related to implementation of a transition from fossil fuels to a decarbonized global economy.

Claude is an amazing research tool that validated my suspicions, the transcript of the dialogue follows the follow-up query that I just now made, immediately below:

TODAY’S CLAUDE QUERY

Brazil’s Global Fossil Fuel Roadmap, the Santa Marta National Plans, and Joeri Rogelj’s Critique

Between a user and Claude (Anthropic). Conversation date: November 3, 2026. This is a follow-up to an earlier conversation on the Santa Marta Fossil Fuel Transition Conference (published separately).

Guardian article discussed: “Brazil publishes first global ‘roadmap’ for phasing out fossil fuels” (Fiona Harvey, The Guardian, 3 November 2026)

Note: Responses are reproduced as given, minus inline citation markup and the contents of uploaded files. Claude’s answers drew on news coverage published on or before November 3, 2026 (The Guardian, Reuters, Climate Home News, Common Dreams, Euronews, Clean Energy Wire, Carbon Brief, Argus and others). Analysis and interpretation are AI-generated and should be checked against primary sources before being relied upon or cited.

USER

Can Claude access from memory my previous query regarding Santa Marta and the fossil fuel transition agreement of 57 or 59 countries?

CLAUDE

No, I can’t see that earlier conversation. Memory isn’t turned on for your account, so each chat starts fresh and I have no record of past queries.

If you’d like me to reference past chats in the future, you can turn on “Search and reference past chats” and “Generate memory from chat history” under Settings in the Claude app.

In the meantime, I’m happy to pick the topic back up now. I can look up the latest on the Santa Marta conference and the fossil fuel transition commitment, including whether it was 57 or 59 countries.

USER

[Uploaded: PDF transcript of the earlier Santa Marta conversation.] Attached is a PDF of the transcript of that earlier query. Within that context, please assess the Guardian article (‘Brazil publishes first global ‘roadmap’ for phasing out fossil fuels’) which reports on Brazil’s roadmap and mentions in an embedded link to Germany, France and Netherlands’ national plans. Key to my query is Joeri Rogelj’s statement, “The roadmaps are valuable but fall short of clearly indicating the pace of change needed by including no timeline or key benchmarks.”

CLAUDE

I couldn’t open the Guardian page directly (the site blocks my fetch tool), so this assessment relies on other outlets’ coverage of the same Brazil roadmap released today, plus reporting on the three national plans the Guardian links to. Rogelj’s quote is confirmed by those reports.

What Brazil actually published

There’s an apparent contradiction in the coverage that is worth resolving first. Climate Home News headlined the roadmap as the “first global timetable,” and it does lay out phases: countries would draft transition plans by 2028 and replace fossil fuels from 2031 to 2033, with infrastructure upgrades and renewable energy investments underway by 2030. Yet the same report notes that the 182-page document names no countries and sets no deadlines for winding down fossil fuel production, and other summaries of the Guardian piece describe it as non-binding, containing no deadlines or interim targets, with each country invited to assess its own dependence and choose its tools.

Both descriptions are true. The roadmap sets out the order of the work: plan, then build, then cut. What it lacks is any quantity, such as how much production or consumption should fall by which date, or who should move first. That is exactly the gap Rogelj identifies. The roadmap gives phases, but no pace of change and no benchmarks.

Rogelj’s critique in the terms of your earlier conversation

Your transcript argued for P.E.R.T. and Gantt-style planning. By that standard, Brazil’s document is a phase diagram rather than a schedule. A real Gantt chart has milestones with measurable deliverables, owners, and dependencies. Brazil’s roadmap has phase labels and timeframes, but no measurable deliverables, and no named owners because no countries are named. Without benchmarks, nobody can tell in 2029 whether the world is on or off track. This repeats the problem the transcript identified with the 2023 Dubai pledge: an agreed destination with no agreed route.

Two features of the roadmap do map onto the transcript’s framework, though. First, it offers countries a self-assessment tool to score how heavily they depend on fossil fuels and their capacity to move away from them. This is essentially the “fiscal dependency mapping” diagnostic the transcript put at the start of the producer-nation program. Second, its sequencing reflects a judgment about demand coming first. Only in the final stage, 2031 to 2033, does it expect the main push on production, arguing that falling fossil fuel use should by then let producers adjust supply in step with demand. The transcript warned that if supply investment falls faster than demand, prices spike, creating the “valley of pain.” Brazil’s demand-led approach is arguably a deliberate hedge against that risk. Critics see it differently: Greenpeace Brazil said it stops short of setting clear phase-out targets or calling for an immediate halt to fossil fuel expansion.

There is also a credibility issue. Brazil has yet to publish its own national roadmap, and earlier this year its climate secretary acknowledged that phasing out fossil fuels could run counter to Brazil’s plans to increase crude production. A producer that champions the global framework while expanding its own output illustrates the producer-state dilemma your transcript identified.

The three national plans

These meet Rogelj’s standard unevenly:

Germany comes closest. It has a hard end date: it intends to stop using fossil fuels in its energy sector by 2045 at the latest. It also has interim benchmarks: raising renewables from 55% to 80% of electricity by 2030, adding 12GW of onshore wind, a 215GW solar target, and reaffirming a 2038 coal exit, possibly as early as 2035. Notably, it covers fossil fuels for energy use, not necessarily every non-energy use of fossil-derived materials. That quietly concedes the petrochemical-feedstock problem your transcript raised: plastics, fertilizers, and medical supplies are left outside the end date.

France pledged to end its reliance on oil and gas by 2050, and its last two coal-fired power stations will close by 2027, though there are already questions around its content.

The Netherlands is weakest on Rogelj’s criteria. It has not set a binding end date for fossil fuel production and use, indicating only that it should be “minimised” by 2050.

Across all three, Linda Kalcher of Strategic Perspectives said the targets still fall short of what is needed to improve energy security by lowering dependence on volatile, high-cost imports.

Overall assessment

Rogelj’s criticism is valid. But there is a structural reason for the vagueness that your transcript helps explain. At COP30 the roadmap had European support but failed to secure consensus after opposition from major oil-producing countries. A global document intended to stay acceptable to nearly every government can only become specific by losing participants. Santa Marta made the opposite trade-off: more commitment, but among about 57 countries, none of them major producers. So the world now has breadth without benchmarks (Brazil) and benchmarks without breadth (Santa Marta and the national plans).

Even the best national plans come from fossil fuel importers. For Germany, imports cost about 76 billion euros in 2024, so phasing out fossil fuels also improves its energy security and trade balance. The hard cases in your transcript are the producer states facing stranded assets, sovereign debt stress, and bankruptcy cascades, and none of these documents tests a plan against them. Until a major producer publishes a plan with dated production benchmarks and a financing mechanism, the “implementation gap” your transcript described remains the central problem.

One caveat on your transcript: its own header flags its figures and timelines as unverified AI syntheses, and they should be treated that way before you combine them with these new sources. On your original question, the transcript records 57 first-mover countries signaling support at Santa Marta, out of 53 countries plus the EU that attended.

USER

The Guardian:

CLAUDE

Your message came through as just “The Guardian:” with nothing after it. It looks like the article text or attachment didn’t make it.

If you paste the article text here, or upload it as a PDF like the transcript, I’ll check my assessment against the Guardian’s own reporting. That would let me confirm which national plans its embedded link points to, see Rogelj’s full comments in context, and catch any details the other outlets left out.

USER

[Uploaded: PDF of the Guardian article.] Does this Guardian PDF alter Claude’s assessment in any way?

CLAUDE

Yes, in a few useful ways. The core conclusion holds, but the Guardian sharpens it, adds the reasoning behind Brazil’s design, and corrects one framing of mine.

Rogelj’s full point is about aggregation, not just vagueness. The other outlets only carried his first sentence. The Guardian adds his follow-up: because the roadmaps leave out a timeline and benchmarks, they leave it unclear what reaching the Paris goal of well below 2°C, preferably 1.5°C, would actually require. So his complaint is not simply that the document is vague. Without global benchmarks, nobody can check whether the sum of national plans adds up to Paris. That is the gap your transcript cited: current pledges cut emissions about 12% by 2035, when scientists say roughly half is needed. Voluntary national plans with no shared yardstick are how that gap arose in the first place. Note also that his “roadmaps” plural refers to Brazil’s two documents, one on fossil fuels and one on deforestation.

Brazil left out benchmarks on purpose. I had suggested the vagueness was the price of keeping every government on board. The Guardian shows Corrêa do Lago defending it on its own terms. He calls them “documents of implementation,” aimed at finance, transport, energy and infrastructure ministries rather than diplomats. He argues each country will move at its own rhythm after diagnosing its own circumstances and choosing its policy levers. In your transcript’s terms, this is a division of labor: Brazil supplies the menu of activities, and each national government builds its own PERT and Gantt schedule. That is a coherent design. But it hands the critical-path problem back to individual governments, with no one responsible for integrating the national schedules into a global one. That is exactly what Rogelj is objecting to.

The national plans belong to the Santa Marta initiative. I treated the German, French and Dutch plans as somewhat separate from Santa Marta. The Guardian places them squarely within it: the nearly 60-country coalition formed there committed to writing national roadmaps, and these are the first results. It calls them much more specific and prescriptive than Brazil’s, because each is written by the government that must carry it out. That supports my earlier “breadth without benchmarks versus benchmarks without breadth” framing. But “more specific than Brazil’s” is a low bar. The Netherlands still has no binding end date, and independent analysts judged all three insufficient. The Guardian’s comparison is relative, not an endorsement.

The Guardian disagrees with Climate Home on the timetable. The Guardian states flatly that the roadmaps contain no deadlines or milestones and never mentions the 2028, 2030 and 2031–33 phases that Reuters and Climate Home reported. My reconciliation still seems the most likely explanation: the phases are a sequence of work, not quantified milestones. But I can’t settle it without the original 182-page document.

Two contextual additions matter for your transcript’s themes.

• Political fragility. The Guardian reports the roadmaps could only be published after Lula won a fourth term, defeating Flávio Bolsonaro, who was expected to revert to exploiting the Amazon. A voluntary, non-binding framework nearly depended on one election. Your transcript stressed that every timeline assumes sustained political will. This is a live example of how thin that assumption can be.
• Finance gaps again. The deforestation roadmap cites UN estimates of about $300bn a year needed for forests by 2030 and $500bn by 2050, against roughly $85bn currently available. That shortfall mirrors the finance gap the transcript flagged at Santa Marta.

What it reinforces without changing. The headline measure, urgently cutting gas flaring and venting, fits your transcript’s advice to front-load changes that are cheap and fast. Methane’s warming power, which the Guardian puts at 80 times that of CO₂ over the short term, makes this the quickest climate payoff available. The “nearly 60 countries” wording also explains your original 57-versus-59 uncertainty, since outlets have rounded differently.

One correction to my own sourcing: the point about Brazil planning to expand crude production came from Argus, not the Guardian, which doesn’t raise it. It is still relevant to Brazil’s credibility, but it shouldn’t be attributed to this article.

USER

What attention-getting heading would you recommend for a post on my WordPress TellRex.com that includes the previous query transcript as well as this query transcript and link to the Guardian article?

CLAUDE

My top pick:

“A Roadmap With No Timeline: What Brazil’s Fossil Fuel Plan Leaves Out”

It captures Rogelj’s central criticism in plain words, creates a small paradox that invites a click, and sets up the Guardian link naturally. It also leaves room for the broader themes of your two transcripts without over-promising.

Some alternatives, depending on the angle you want to lead with:

• “Menu, Not a Schedule: Brazil’s Fossil Fuel Roadmap and the Missing Gantt Chart” builds on your P.E.R.T. and Gantt framing, which sets your post apart from standard news coverage.
• “Santa Marta vs. Belém: Two Roadmaps Away From Fossil Fuels, Neither With a Finish Line” contrasts the coalition of the willing with Brazil’s global approach. The hook is sharper, though “neither” overstates it slightly, since Germany’s plan does set 2045.
• “Be Careful What You Wish For: Dissecting the Fossil Fuel Transition With AI” uses your own phrase and foregrounds the AI-dialogue aspect, which may draw readers interested in how AI handles complex policy questions.
• “Destination Agreed, Route Unknown: The Fossil Fuel Transition’s Implementation Gap” is the most analytical option, suited to a readership that already follows climate policy.

You could pair any of these with a subtitle that explains the format, for example: “Two AI-assisted conversations on Santa Marta, Brazil’s COP30 roadmap, and the costs and risks of leaving fossil fuels behind.” That tells readers up front that the post is a transcript-based exploration rather than straight reporting, which also fits the verification caveat already in your transcript’s header.

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PREVIOUS CLAUDE QUERY IN MAY, 2026

Santa Marta Fossil Fuel Transition Conference: Strategy, Costs, Financial Risk, and Role of AI

A conversation between a user and Claude (Anthropic), November 3, 2026. Responses are reproduced as given, minus inline citation markup. Figures, timelines and numeric estimates are AI-generated syntheses and illustrative projections, not verified data; conference details were drawn from news and advocacy sources published around April 29–30, 2026. Please check against primary sources before citing. Tables and diagrams appear as images so they paste cleanly into WordPress.

YOU

Reconcile the goals and results of April 25-29 “1st Conference on Transitioning Away from Fossil Fuels – Santa Marta Colombia” vis-a-vis the complex nature of oil production, oil chemistry, refinery design, global transportation logistics, and the dependence of world economies and civilization as we know it on fossil fuels. To me this is a complex existential conundrum. What high level strategic plan would you suggest to minimize global social chaos and conflict, and what time scale might decarbonization or near zero or net zero be achieved?

CLAUDE

This is a genuinely profound conundrum, perhaps the defining civilizational challenge of our era. Let me give you a serious, layered analysis.

The Santa Marta Conference: What It Was and What It Produced

Structure: Representatives of more than 50 countries participated in a two-day high-level conference to discuss concrete ways to phase out oil, gas, and coal. It was born out of frustration with the yearly UN climate conferences (the COPs), which have been around for 30 years. At the 2023 Dubai COP, countries agreed to “transition away from fossil fuels” in energy systems, but since then, countries have not agreed on how. At the UN conference in Brazil in late 2025, roughly 80 countries pushed for a roadmap to phase out fossil fuels, but the conference ended without one.

What made it different: Unlike UN-organized COPs, the conference in Santa Marta was a smaller gathering of 53 countries and the European Union with no official negotiations. Private sector representatives could attend, but only if they were “aligned” with the conference’s objectives.

Concrete outcomes:

• 57 first-mover countries sent a signal supporting continued collaboration on actively managing the transition away from fossil fuels. Three thematic workstreams were established: collaboration to build national and regional fossil fuel phase-out roadmaps, fiscal/debt frameworks, and international governance reform.
• Countries created new collaborations to coordinate efforts to cut fossil fuel production and decarbonize trade. The conference also formally launched a new scientific panel on the energy transition.
• Countries agreed to meet again in 2027 in the Pacific island nation of Tuvalu, co-hosted by Tuvalu and Ireland, in a sign of cooperation between high-income and developing countries.
• The conference concluded with a political mandate, as described by the Fossil Fuel Treaty campaign: to establish, within a year, formal negotiations for a Fossil Fuel Treaty, a binding international framework to manage a global just transition and equitable fossil fuel phase-out.

Critical shortfall: Wealthy governments have still not stepped up to provide sufficient climate financing for poorer countries, which face the brunt of the climate crisis. Rich countries hold historical responsibility and must not only move first and faster but also provide finance at scale for others to follow.

Honest assessment of impact: Operating outside the jurisdiction of the United Nations, it’s unclear what impact the event will ultimately have on climate negotiations. While the success of the summit is tenuous, there were some concrete wins.

The Existential Conundrum: Why This Is So Hard

You are right to frame this as a conundrum. Here is why the gap between aspiration and reality is so vast:

The physical and chemical reality of oil is non-trivial. Petroleum is not just fuel. It is the feedstock for plastics, pharmaceuticals, fertilizers, synthetic fibers, lubricants, asphalt, adhesives, and thousands of specialty chemicals. A world without fossil fuels is not just a world with electric cars. It requires the reinvention of petrochemistry, materials science, agriculture (nitrogen fertilizers are synthesized from natural gas), and global logistics from the ground up.

Refinery infrastructure is enormously capital-intensive and geographically fixed. The world’s ~700 major refineries represent trillions of dollars of sunk capital, and they are not fungible. A refinery optimized for heavy Venezuelan crude cannot simply switch to processing something else. Decommissioning them means stranding assets and eliminating the technical base for complex hydrocarbon processing.

Global supply chains run on bunker fuel and jet fuel. Maritime shipping (which moves ~90% of world trade by volume) and aviation have no currently scalable zero-carbon alternatives at reasonable cost. Green ammonia, green methanol, and SAF (sustainable aviation fuel) exist but are orders of magnitude too expensive and too scarce to replace current consumption.

Economic dependence is existential for dozens of states. Saudi Arabia, Iraq, Nigeria, Venezuela, Angola, Kuwait, Libya, and others derive 60–95% of government revenue from fossil fuels. A rapid phase-out without massive compensatory financial architecture would collapse these states, triggering humanitarian crises, mass migration, and regional wars, the very chaos the conference hopes to avoid.

A recent UN report finds that current pledges would cut emissions by just 12% by 2035. Scientists say countries need to cut emissions in half by 2035. That gap is not incremental. It is civilizational.

A High-Level Strategic Plan to Minimize Social Chaos

Given the complexity, a realistic strategic architecture needs to operate across at least six dimensions simultaneously:

1. Sequenced, Sector-by-Sector Phase-Out (Not a Single “Switch”)

The transition must prioritize by feasibility and harm-reduction, not ideology. A rational sequence:

• First (2025–2035): Coal for power generation. Already economically uncompetitive with renewables in most markets; retire first.
• Second (2030–2045): Oil for passenger transport. EVs are near cost parity; accelerate fleet turnover and charging infrastructure.
• Third (2035–2055): Natural gas for heating and industrial processes. Harder; requires heat pumps, hydrogen, and efficiency retrofits at massive scale.
• Last and hardest (2045–2075+): Petrochemicals, aviation, shipping, heavy industry (steel, cement). These require technological breakthroughs not yet commercially proven.

2. A “Managed Decline” Architecture for Producer States

The greatest risk of chaos lies not in wealthy importing nations, but in producer states. A credible plan requires:

• A sovereign wealth fund model for petrostates, funded partially by a global carbon levy on ongoing production, to build economic diversification before revenues collapse.
• Debt relief mechanisms tied to transition roadmaps (this was central in Santa Marta but unresolved).
• Technology transfer agreements so developing nations don’t have to choose between poverty and carbon.

3. Supply-Side AND Demand-Side Coordination

Past climate policy focused almost entirely on demand (efficiency, renewables). State-owned enterprises are central to the Santa Marta discussion because they control most of the world’s oil, gas, and electricity supply. Across the G20, energy SOEs still invest close to USD 300 billion a year in fossil fuel infrastructure. Any serious plan must also address the production side, which is diplomatically far harder but physically necessary.

4. A New Financial Architecture

Discussions in Santa Marta highlighted the central challenge of funding the transition, particularly for developing countries facing high borrowing costs and limited access to capital. This requires:

• Reform of multilateral development banks to treat fossil fuel phase-out as a systemic risk requiring system-level financing.
• A global carbon price floor (currently politically blocked by major emitters not at Santa Marta: the US, China, Russia, India, Saudi Arabia).
• Removing fossil fuel subsidies, still amounting to more than USD 921 billion in 2024, and redirecting them to transition finance.

5. Worker and Community Transition Programs

The millions employed in coal mining, oil extraction, refining, and related industries cannot simply be told to retrain for solar panel installation. Effective programs require:

• 10–15 year advance notice and retraining pipelines (not a 2-year window).
• Geographic economic diversification in fossil-fuel-dependent regions.
• Pension and social safety net guarantees so workers don’t feel existentially threatened.

6. Technology Investment at Wartime Scale

The “hard to abate” sectors (cement, steel, long-haul shipping, aviation, and agriculture) require technologies (green hydrogen at scale, direct air capture, next-gen nuclear, green ammonia) that currently exist in pilot form but not at commercial scale. This requires WWII/Manhattan Project levels of public R&D investment, something no current government is doing.

Realistic Timescales

Being honest rather than optimistic:

These timescales assume sustained political will, massive financing, and no major backlash, none of which are guaranteed. Many serious analysts consider 2070–2080 for genuine global net-zero to be optimistic.

The Honest Bottom Line

Santa Marta was symbolically important and diplomatically meaningful: 57 countries now have a structured forum outside the gridlocked UN COP process to discuss actual phase-out mechanics. But the nations not in the room (the United States, China, Russia, India, Saudi Arabia, and the Gulf states) collectively account for the majority of fossil fuel production and consumption. A treaty signed by mid-sized progressive democracies, however sincere, cannot decarbonize the global economy.

Your instinct that this is a “complex existential conundrum” is correct. The danger is not that the world fails to agree fossil fuels are a problem. Santa Marta showed growing consensus on that. The danger is the implementation gap: the distance between political declaration and the physical, financial, and social transformation of a civilization built on 200 years of carbon energy. That gap is enormous, the time remaining to close it is short by civilizational standards, and the consequences of failure (climate disruption, resource wars, state collapse, and mass displacement) are precisely the social chaos the conference participants hope to avoid.

A realistic plan accepts that this transition will take 50–60 years even under favorable conditions, frontloads the changes that are already economically rational (coal retirement, EV adoption, renewable power), builds genuine financial solidarity with vulnerable producer and developing states, and invests heavily in the breakthrough technologies needed for the hard-to-abate sectors, without which no net-zero target is physically achievable.

YOU

A realistic roadmap and detailed granular strategic and tactical plans (think P.E.R.T. and Gantt Charts) seem to be “indicated” (medical parlance). What skill sets and professional sectors would be required and where sourced, and in what numbers and organization?

CLAUDE

This is exactly the right framing: treating decarbonization as a program management challenge of the highest order, not merely a political one. Let me build this out systematically.

The Scale Analogy Problem

First, a grounding point: there is no historical precedent of exactly this scale. The closest analogues are:

• US WWII industrial mobilization (1942–1945): complete retooling of an economy in 3 years, but within one nation, under existential threat consensus, with a defined end state.
• Marshall Plan (1948–1952): international financial coordination, but relatively narrow in scope.
• Apollo Program: peak 400,000 people, singular technical objective, unlimited budget signal.
• Interstate Highway System: 35 years, massive infrastructure, but additive not transformative.
• The Green Revolution (1960s–70s): global technology transfer, but again additive.

What Santa Marta gestures toward is all of these simultaneously, across 195 nations, with conflicting interests, over 50–60 years. The PERT/Gantt architecture for this is genuinely unprecedented.

Master Program Structure: Five Interdependent Programs

Think of this as a Program of Programs, each requiring its own PERT network, with massive interdependencies between them.

PROGRAM 1: Energy System Transformation

Replace fossil fuel power generation with zero-carbon alternatives

PERT Critical Path:

Gantt Phases:

Critical dependencies: Storage technology cost curves, transmission permitting reform (currently the #1 bottleneck in most democracies), rare earth mineral supply chains.

PROGRAM 2: Industrial Decarbonization

Steel, cement, chemicals, manufacturing: the “hard to abate” sectors

PERT Critical Path:

Gantt Phases:

Critical dependencies: Green hydrogen cost (currently ~$5/kg; needs to reach ~$1/kg to be competitive), carbon contracts-for-difference to bridge economics.

PROGRAM 3: Transportation System Transformation

Aviation, shipping, road, rail: each a distinct sub-program

PERT Critical Path (Road):

PERT Critical Path (Shipping/Aviation):

Gantt Phases:

PROGRAM 4: Producer Nation Economic Transition

The most politically complex and least technically defined program

PERT Critical Path:

Gantt Phases:

PROGRAM 5: Global Governance and Finance Architecture

The meta-program that enables all others

PERT Critical Path:

Gantt Phases:

Workforce Requirements: Skills, Numbers, and Sources

This is where the program becomes truly staggering. Below is a structured breakdown of the professional categories required, estimated numbers, and sourcing strategies.

TIER 1: Program Leadership and Architecture

The people who design and manage the programs themselves

Current shortage: Severe. Large-scale systems integrators who understand both technical and political complexity are extraordinarily rare. The global megaproject management talent pool (projects >$10B) numbers perhaps 5,000–10,000 people today.

TIER 2: Engineering and Technical Core

TIER 3: Skilled Trades and Construction

The actual hands that build the physical infrastructure, arguably the hardest bottleneck

The trades bottleneck is the single greatest near-term constraint. Electricians alone require 4–7 years of apprenticeship. The US currently trains ~7,000 new journeyman electricians per year against an estimated need of 80,000+ per year for the energy transition. Similar ratios apply globally.

TIER 4: Scientific Research

The people solving problems that don’t yet have solutions

TIER 5: Policy, Finance, and Social Infrastructure

Organizational Architecture

Given this scope, the organizational model cannot be any existing institution. The closest functional analogy would be a nested, federated program structure:

Level 1: Global Coordination Body

A new institution, call it the Global Energy Transition Authority (GETA), operating with the mandate and capitalization of the World Bank, the technical authority of IAEA, and the diplomatic standing of the UN Security Council. Staffed by ~5,000 professionals. Current institutions (IRENA, IEA, UNFCCC Secretariat) are advisory bodies without implementation authority or capital.

Level 2: Regional Program Offices

Six to eight regional bodies (Americas, Europe, Africa, Middle East/North Africa, South/Southeast Asia, East Asia, Pacific) each running a tailored version of the five programs, coordinating cross-border grid interconnections, financing, and workforce development. Each staffed ~2,000–5,000 professionals.

Level 3: National Transition Authorities

Every participating nation needs a dedicated cabinet-level agency (not merely a ministry department) with authority over energy, finance, labor, and trade dimensions of the transition. Modeled on wartime production boards. Staffed at scale proportional to national complexity.

Level 4: Sector-Specific Implementation Consortia

Industry consortia (Steel Transition Consortium, Shipping Decarbonization Alliance, Aviation Fuel Authority, etc.) bringing together industry, government, labor, and finance for each hard-to-abate sector. Similar to the model used for semiconductor supply chain reshoring.

Level 5: University and Training Pipeline Authority

A coordinated global effort to realign university engineering curricula, fund electrochemical engineering and nuclear engineering departments, build trade apprenticeship pipelines, and retrain fossil fuel industry workers. This alone is a program requiring 10–15 years to produce measurable output.

The Fundamental Program Management Tensions

Any honest PERT/Gantt analysis surfaces these irreducible conflicts:

Speed vs. Stability: The critical path demands faster action than supply chains, workforces, and political systems can sustain without disruption. Managing the rate of change is itself the central program management challenge.

Global coordination vs. national sovereignty: PERT dependencies cross borders. A hydrogen pipeline from North Africa to Europe depends on Moroccan policy, Spanish permitting, German demand signals, and EU financing: four independent critical path nodes with no common authority.

Technology readiness vs. deployment urgency: Several critical path items (green hydrogen at scale, long-duration storage, low-carbon cement) are not yet technologically ready for the deployment phase that the Gantt schedule requires. This is the equivalent of planning the D-Day landing before the landing craft have been designed.

Financing the transition during the transition: The world cannot simply stop fossil fuel revenues before alternative revenue streams are established, but delaying phase-out extends climate risk. This is the core timing paradox, and no current program architecture has resolved it.

Bottom Line Assessment

The total workforce implied by this program, across engineering, trades, science, policy, finance, and social services, is on the order of 300–500 million person-years of effort over 50 years, or roughly 6–10 million dedicated full-time workers globally at peak (roughly the employment scale of the global automotive industry today). This is achievable in aggregate, but the specialization problem is severe: the specific skills in highest demand (electrochemical engineers, power systems engineers, industrial process engineers, electricians, treaty negotiators) are in pipelines that take 5–15 years to fill, and most are currently not being filled at remotely adequate rates.

The Santa Marta conference represents a political declaration that the destination is agreed. What does not yet exist, anywhere, is the program management architecture, the workforce pipeline strategy, or the financing mechanism that would make the journey credible. That is the work of the next decade, and it is, as you correctly identified, the most complex coordinated undertaking in human history.

YOU

This next question is admittedly imponderable, but can you suggest the impact, qualitatively if not quantitatively, on personal costs of living over and above “normal” inflation, specifically, e.g., the escalation in the price of fuels and other refinery byproducts, LNG, electricity (fossil fuel and renewables combined), hydrogen?

CLAUDE

This is a genuinely difficult question to answer honestly, because the answer depends on which of several radically different transition scenarios actually unfolds. Let me work through this carefully and candidly.

The Fundamental Pricing Paradox

Before any specific commodity analysis, there is a structural paradox that almost no public discussion acknowledges honestly:

The transition creates simultaneous upward price pressures from two opposing directions:

• Fossil fuels become more expensive as investment dries up, fields deplete without replacement drilling, refineries close, and carbon pricing is applied, all before alternatives are fully scaled.
• Renewables and alternatives are also expensive during the scale-up phase, before manufacturing learning curves, grid integration, and storage solutions mature.

The result is a valley of pain, a period, likely spanning 2027–2045 in the most optimistic scenario and 2027–2060 in realistic scenarios, during which energy costs are structurally elevated above historical norms from both directions simultaneously. This is the most politically dangerous economic feature of the entire transition and the primary driver of backlash risk.

Commodity-by-Commodity Qualitative Analysis

Liquid Fuels (Gasoline, Diesel, Jet Fuel, Bunker Fuel)

Mechanism of price escalation: As the Santa Marta process and parallel COP mechanisms signal declining long-term demand, upstream oil investment is already contracting. Major oil companies are capital-rationing new field development. The problem is that existing fields deplete at 4–8% per year naturally, so even flat global demand requires continuous reinvestment just to maintain supply. If investment falls faster than demand, supply tightens and prices spike, not because oil is running out, but because the financial system is pricing in stranded asset risk and refusing to fund new production.

Qualitative price trajectory:

• Near term (2026–2032): Volatile, with periodic spikes around geopolitical events (the Iran war context mentioned in the Santa Marta reporting is already doing this), punctuated by demand-destruction recessions that temporarily collapse prices.
• Medium term (2032–2045): Structurally elevated floor price, likely 40–80% above 2024 real prices, as supply investment lags and remaining production concentrates in fewer, higher-cost basins.
• Long term (2045+): Declining volume but potentially very high per-unit prices as oil becomes a specialty chemical feedstock rather than a bulk energy commodity: the “last barrel” problem. Aviation and petrochemical uses will compete intensely for shrinking supply.

Consumer impact: Gasoline prices in the US (historically cheap by global standards) could realistically reach $6–9/gallon in 2024 dollars by the late 2030s absent major policy intervention. European consumers, already paying $7–10/gallon equivalent, face less relative shock but still meaningful escalation. Developing world consumers, who spend a far higher proportion of income on fuel, face the most severe relative burden.

Refined Petroleum Products Beyond Fuels

This is the dimension most completely absent from public discourse and most profoundly underestimated.

The products at risk:

Plastics, synthetic rubber, lubricants, asphalt/bitumen, fertilizers (via natural gas), pharmaceuticals, synthetic fibers (polyester, nylon), detergents, adhesives, paints, cosmetics, food packaging, medical devices, and thousands of specialty chemicals all derive from petroleum and natural gas feedstocks.

Mechanism of escalation: Refinery economics depend on processing high volumes across a full “barrel.” You cannot economically extract only the naphtha for plastics without also processing the heavier and lighter fractions. As fuel demand falls and refineries close or reduce throughput, the economics of petrochemical feedstock production are disrupted. Fewer refineries processing less crude means tighter, more expensive feedstocks for everything downstream.

Qualitative impacts:

• Plastics manufacturing costs rise 30–80% in real terms over the transition period, flowing through to virtually every manufactured consumer good, medical supply, and food package.
• Agricultural fertilizer costs (already volatile due to natural gas prices) face structural long-term elevation until green ammonia achieves scale, likely not before 2040–2050.
• Pharmaceutical manufacturing costs rise as petrochemical intermediates become more expensive, affecting drug prices globally.
• Road maintenance costs rise as bitumen (asphalt binder) becomes expensive and scarce, a secondary infrastructure cost rarely discussed.
• Synthetic textile prices rise, ironically making natural fibers (cotton, wool, linen) relatively more competitive.

The medical supply chain is particularly vulnerable and almost entirely undiscussed in climate policy circles. Syringes, IV bags, surgical gloves, sterile packaging, catheters, and implantable devices are almost entirely petroleum-derived. The cost implications for healthcare systems are significant.

Natural Gas and LNG

The structural situation: Natural gas occupies the most ambiguous position in the transition. It is simultaneously the “bridge fuel” praised for being lower-carbon than coal, the feedstock for hydrogen production (blue hydrogen), the heating source for hundreds of millions of homes, and a major industrial process fuel. It is also the commodity most susceptible to infrastructure lock-in: LNG terminals, pipelines, and gas appliances represent decades of committed capital.

Mechanism of escalation:

• LNG prices are already structurally more volatile post-Ukraine war, with European buyers having bid up Asian LNG spot markets and created a genuinely global (and more volatile) price structure where previously regional markets existed.
• As coal retires and before renewables fully scale, gas demand for power generation increases in the near term in many regions, tightening supply.
• New LNG investment faces financing risk from climate commitments, creating supply constraints against elevated demand.
• Green premium: As carbon pricing extends to gas, the consumer price rises by the carbon cost, potentially 30–60% on top of market price at meaningful carbon price levels ($100–150/tonne CO₂).

Qualitative price trajectory:

• Heating costs for gas-dependent households (much of Northern Europe, US Northeast, parts of Asia) face 50–120% real price increases over the transition period before heat pump penetration provides an alternative.
• The distributional impact is severe: gas heating is disproportionately used by lower-income, older housing stock. The households least able to fund heat pump retrofits face the steepest gas price increases.
• Industrial gas users (glass, ceramics, food processing, paper) face cost pressures that will either drive offshoring to unregulated markets or be absorbed as consumer price increases.

Electricity

The paradox of electricity pricing is the most counterintuitive element of the entire transition.

In the long run (post-2050), an electrified world powered by mature renewables should produce cheaper energy than fossil fuels. This is the core economic argument for the transition and it is genuinely supported by levelized cost of energy analysis.

But the path there involves a prolonged period of elevated electricity prices for the following reasons:

Capital cost front-loading: Renewables are almost entirely capital cost (low fuel cost, high upfront investment). Fossil fuels are the reverse (low capital, high ongoing fuel cost). Transitioning means paying capital costs for the new system while still paying fuel costs for the old system being kept as backup: double-paying for energy infrastructure simultaneously.

Grid integration costs: A grid running 80–100% variable renewables requires massive investment in transmission, storage, demand response, and grid management software that a fossil fuel grid does not. These “system costs” are real and large and largely invisible in simple renewable vs. fossil cost comparisons.

Stranded asset costs: Depreciated fossil fuel plants that close early have their remaining book value socialized through rate increases. Across the global power sector, stranded asset costs could reach $1–3 trillion.

Qualitative trajectory by phase:

• 2026–2035: Electricity prices rise 20–50% in real terms in most advanced economies as carbon costs, renewable investment, and grid modernization costs are recovered through rates.
• 2035–2050: Prices stabilize at elevated levels as the new system approaches maturity but storage and long-duration backup remain expensive.
• 2050+: Meaningful real price decreases become possible as capital is amortized and fuel costs approach zero.

The electrification demand surge compounds this: As transportation and heating electrify, electricity demand in advanced economies may double or triple. Building sufficient generation, transmission, and storage for 2–3x current demand while simultaneously retiring existing fossil capacity is an extraordinarily capital-intensive undertaking whose costs flow directly to ratepayers.

Developing world electricity access is a separate and acute problem: 700 million people still lack reliable electricity access. The transition should improve this through distributed solar, but only if financing is available. Without it, those populations face the worst of both worlds: expensive imported fossil fuels and expensive clean energy alternatives.

Hydrogen

Hydrogen pricing is the most speculative because the market barely exists today at relevant scale. Some honest framing:

Green hydrogen (electrolysis powered by renewables) currently costs $4–8/kg to produce. To be competitive as an industrial fuel and feedstock replacement, it needs to reach approximately $1–2/kg. The gap is real and large.

The cost reduction pathway requires:

• Electrolyzer manufacturing scale (currently tiny)
• Cheap renewable electricity (achievable but not yet universal)
• Compression, storage, and distribution infrastructure (essentially nonexistent at needed scale)
• Learning curve effects (historically reliable but require volume)

Qualitative consumer impacts of hydrogen costs:

Consumers will not directly buy hydrogen at retail the way they buy gasoline, in most scenarios. The impact is indirect but pervasive:

• Steel made with green hydrogen will cost 20–40% more than blast furnace steel until scale is achieved, with the cost flowing through to construction, vehicles, appliances, infrastructure.
• Fertilizer made with green ammonia (hydrogen-derived) will cost substantially more than Haber-Bosch natural gas process fertilizer for at least 15–20 years, increasing food production costs globally.
• Shipping powered by green ammonia or methanol will have higher fuel costs, flowing through to the cost of virtually every traded good.
• Hydrogen heating (if pursued) will likely be more expensive than heat pumps and remain a niche application, but the industrial heating applications will carry cost implications for manufactured goods broadly.

The Aggregate Consumer Cost of Living Impact

The Aggregate Consumer Cost of Living Impacts

Synthesizing across all these dimensions, the honest qualitative picture for an average household in an advanced economy over the transition period is:

Energy bills (electricity + heating + transport fuel): The most directly felt impact. Realistic expectation is a 40–100% real increase in aggregate household energy expenditure during the peak transition stress period (roughly 2028–2045), before declining as electrification matures. A household currently spending $4,000/year on energy-related costs might spend $6,000–8,000 in 2024 dollars during this period.

Food costs: Elevated by fertilizer costs, agricultural energy costs, food packaging (petrochemicals), refrigeration costs, and transportation. A structural 15–30% real food price premium above baseline inflation seems plausible over 15–25 years.

Manufactured goods: Essentially everything that is made, packaged, or transported (which is nearly all consumer goods) carries embedded energy and petrochemical costs. A diffuse but real 10–25% cost premium across most consumer durables and non-durables during the transition.

Housing and construction: Steel, cement, glass, insulation, roofing materials, and plastic components all face cost pressure. New construction costs rise. Retrofit costs (heat pumps, insulation, electrical upgrades) are large one-time costs falling on homeowners, potentially $15,000–40,000 per household in advanced economies, with long payback periods that disadvantage lower-income households.

Healthcare: The petrochemical supply chain issue for medical devices and pharmaceuticals is real but difficult to quantify. Some analysts suggest 10–20% cost increases in medical supply chains during the transition.

Transportation (beyond fuel): New vehicles carry embodied energy and materials costs. The premium for EVs over comparable ICE vehicles is narrowing but not yet zero. Public transit electrification requires capital investment that may drive fare increases before operating cost savings are realized.

The Distribution Reality: Who Bears the Burden

Perhaps the most important qualitative point is that these costs are profoundly regressive in their raw form, falling hardest on those least able to bear them:

Low-income households in advanced economies spend a higher proportion of income on energy and food than wealthy households. Energy and food price inflation is therefore a greater real burden for them even if the nominal dollar amounts are similar.

Fossil fuel dependent workers and communities face income disruption simultaneous with cost increases, a double hit. Coal country in Appalachia, the Permian Basin, the Gulf Coast refinery corridor, and equivalent regions globally face something close to an economic extinction event without well-designed transition support.

Developing nations face the starkest paradox: they contributed least to the climate problem, they lack the capital to finance the transition, they often depend on fossil fuel revenues or cheap fossil energy for development, and they face the most severe climate impacts. The cost of transition falls on them with the least capacity to absorb it.

Small island states (prominently represented at Santa Marta through Tuvalu’s role) face existential costs of not transitioning (sea level rise, storm intensification) while the costs of transitioning are beyond their domestic capacity entirely.

The Counterfactual That Must Be Acknowledged

Every cost analysis of the transition is incomplete without comparing it to the cost of not transitioning. The economic costs of unmitigated climate change (productivity losses from heat, agricultural disruption, coastal infrastructure inundation, extreme weather event costs, climate migration, and resource conflict) are estimated by serious economists at 5–20% of global GDP annually by late century. Against that counterfactual, the transition costs, painful as they are, are economically rational at a civilizational level.

The political problem is that transition costs are immediate, visible, and fall on specific people, while climate costs avoided are future, diffuse, and statistical. This is the core reason democratic political systems consistently underprice climate risk and overprice transition cost, and it is the fundamental political economy challenge that no PERT chart or Gantt schedule can resolve by itself.

The Santa Marta conference, for all its limitations, is an attempt to begin building the political architecture that can hold governments accountable to future citizens as well as present ones. Whether it succeeds depends less on the quality of the roadmaps than on whether political leadership in the major emitting nations finds the will to impose near-term costs in service of long-term survival, historically one of the hardest things democratic governments do.

YOU

One aspect of retiring refineries and shuttering gas and coal fields is the impact on investors, stock markets, and communities of abrupt bankruptcy. Is this element included in the foregoing?

CLAUDE

It was touched on but not fully developed, and you are right to flag it as deserving its own rigorous treatment, because the stranded asset problem is arguably the single most systemically dangerous financial dimension of the entire transition. Let me develop it properly.

The Scale of Assets at Risk

First, the numbers need to be understood to appreciate the systemic gravity.

The fossil fuel industry’s total asset base (upstream reserves, midstream pipelines and terminals, downstream refineries, coal mines, LNG facilities, and associated infrastructure) represents somewhere between $25–40 trillion in book value on corporate and sovereign balance sheets globally. A significant portion of this becomes either worthless or severely impaired under any serious decarbonization scenario.

Breaking this down by category:

Proven fossil fuel reserves that cannot be burned under a 1.5°C scenario represent what the Carbon Tracker Initiative calls the “carbon bubble”: assets currently valued by markets at full extraction value but which, under aggressive climate policy, can never be monetized. Estimates range from $1–4 trillion in equity value and $1–2 trillion in corporate debt that would effectively be impaired.

Refinery infrastructure globally represents roughly $1–1.5 trillion in physical assets. Unlike oil wells, refineries are not just sources of carbon. They are complex chemical processing facilities with limited alternative uses. A shuttered refinery is largely a remediation liability, not a repurposable asset.

Pipeline networks, both natural gas distribution and petroleum, represent $2–4 trillion globally. Gas distribution pipelines embedded in cities have essentially zero alternative use value and become pure stranded cost.

Coal mining assets (mines, processing facilities, rail infrastructure, port loading facilities) represent several hundred billion dollars in assets concentrated in specific geographies: Appalachia, Wyoming’s Powder River Basin, Germany’s Ruhr (largely already retired), Poland, Australia’s Queensland, South Africa, Indonesia, India.

Power generation assets (coal and gas plants with remaining useful lives that policy forces into early retirement) represent $1–2 trillion in stranded generation capacity globally.

The Investor Exposure Map

The financial exposure is distributed across a complex web of investor classes, each with different vulnerability profiles:

Public Equity Markets

The fossil fuel sector represents approximately 4–6% of global equity market capitalization, roughly $4–6 trillion at current valuations. The top 20 fossil fuel companies alone (ExxonMobil, Shell, BP, Chevron, TotalEnergies, Saudi Aramco partial float, ConocoPhillips, etc.) represent a combined market cap of roughly $2.5–3 trillion.

But the direct equity exposure dramatically understates the indirect exposure. Every industry whose economics depend on affordable fossil energy (airlines, shipping, chemicals, agriculture, plastics manufacturing, automotive) faces earnings impairment that flows through to equity valuations. The indirect equity exposure is arguably 5–10x the direct exposure.

Pension funds are particularly exposed. The average large pension fund carries 4–8% direct fossil fuel equity exposure and substantially more indirect exposure through industrials, materials, and transportation sectors. For a $1 trillion pension fund, this represents $40–80 billion in potentially impaired assets, directly affecting the retirement security of millions of beneficiaries who have no idea their pensions are implicated.

Fixed Income / Bond Markets

This is where systemic risk is most acute and least discussed. The fossil fuel industry has approximately $1.5–2 trillion in outstanding corporate bonds globally. Unlike equity holders who can theoretically ride a stock to zero and absorb losses gradually, bond holders face discrete default events: a company either pays its debt service or it doesn’t.

The sequencing problem is severe: as fossil fuel revenues decline, companies must continue servicing debt on assets that are generating less cash. The typical response is additional borrowing to bridge cash flow gaps, increasing leverage precisely as asset values decline. This is the classic debt-deflation spiral that produces sudden, disorderly bankruptcies rather than gradual wind-downs.

High-yield (“junk”) bonds in the energy sector are particularly concentrated in smaller independent oil and gas producers (the US shale sector, for example) which lack the balance sheet resilience of supermajors to weather a prolonged transition. The US shale industry has already demonstrated this vulnerability, having destroyed approximately $300 billion in investor capital between 2010 and 2020 through overexpansion and price collapses, before stabilizing. A policy-driven phase-out would be far more systematic.

Sovereign Debt

This dimension is rarely included in stranded asset analysis but is arguably the most dangerous for global financial stability.

Nations whose sovereign creditworthiness is predicated on fossil fuel revenues (Saudi Arabia, Iraq, Nigeria, Angola, Venezuela, Kuwait, Libya, Kazakhstan, Azerbaijan, and others) will see their sovereign debt ratings systematically downgraded as the transition progresses. The mechanism:

• Fossil fuel revenues decline
• Fiscal deficits widen
• Credit ratings fall
• Borrowing costs rise
• Social spending cuts required
• Political instability increases
• Currency crises possible

Venezuela has already demonstrated this pathway to its catastrophic conclusion without the climate transition as a driver, simply from oil price volatility and mismanagement. The transition provides a structural, multi-decade version of the same pressure across dozens of sovereigns simultaneously.

Sovereign debt held by international investors in these countries (Western pension funds, emerging market bond funds, multilateral development banks) faces impairment simultaneously across multiple issuers. Unlike corporate defaults, sovereign defaults are resolved through messy, years-long renegotiations (Paris Club, IMF programs) with significant contagion risk.

Municipal and Local Government Bonds

This is perhaps the most overlooked exposure. In the United States alone, thousands of municipal bonds were issued by localities whose tax base depends on fossil fuel industry activity:

• Texas oil patch counties issuing bonds for schools and infrastructure predicated on property tax revenue from oil and gas operations
• West Virginia counties whose tax base is coal severance revenue
• Louisiana parishes dependent on refinery payroll and property taxes
• Wyoming, whose entire state budget is essentially a function of coal and gas royalties

When the industry contracts, these communities face a fiscal cliff that impairs their ability to service municipal debt, affecting bondholders who are often retail investors through municipal bond funds seeking tax-advantaged income. Unlike corporate bonds, municipal distress is particularly politically sensitive because the victims are local schools, fire departments, and water systems.

The Bankruptcy Cascade Mechanics

The critical issue you raise (abrupt bankruptcy rather than managed wind-down) deserves careful structural analysis, because the mode of exit matters enormously.

Scenario A: Managed Decline (Best Case)

In this scenario, fossil fuel companies have sufficient advance warning, generate adequate cash flow during wind-down, execute structured asset retirement, fund environmental remediation, honor pension obligations, and service debt to maturity. Investors receive reduced but not zero returns. Workers receive transition support funded by ongoing cash generation. Communities have time to diversify.

This requires: stable long-term policy signals, at least 15–20 years of advance notice, carbon pricing that generates revenue without destroying cash flow abruptly, and cooperative engagement between industry and government.

Scenario B: Disorderly Rapid Phase-Out (High Risk)

In this scenario, which the more ambitious Santa Marta-aligned policy would risk producing if implemented without financial architecture, demand destruction from policy and technology outpaces industry adaptation:

• Revenue collapses faster than cost structures can adjust
• Debt service cannot be maintained
• Chapter 11 (or national equivalents) filings cascade across the sector
• Environmental remediation liabilities, the hidden liability bomb, become orphaned

The environmental remediation issue deserves special emphasis. Oil wells, refineries, pipelines, and coal mines carry enormous closure and remediation liabilities, estimated at $280 billion for US oil and gas wells alone, and potentially $500+ billion globally for all fossil fuel infrastructure. These liabilities are supposed to be funded by the operating companies. In bankruptcy, they are frequently abandoned, becoming public liabilities or simply unaddressed environmental hazards. The US already has approximately 3.2 million orphaned oil and gas wells whose remediation costs have fallen on states and federal taxpayers. A disorderly transition would multiply this problem by orders of magnitude.

Scenario C: The “Stranded Workers” Bankruptcy (Most Politically Dangerous)

When a major employer in a geographically concentrated community goes bankrupt, the cascade effects extend far beyond the company itself:

• Pension obligations may be only partially covered by the Pension Benefit Guaranty Corporation (in the US) or equivalent national backstops, so workers lose retirement security
• Local supplier businesses lose their primary customer
• Property values collapse as the employment base evaporates
• Local government tax revenue collapses simultaneously with increased demand for social services
• Bank loan portfolios in the region deteriorate as mortgages default
• Population outmigration accelerates, further depressing property values and tax base

This is not hypothetical. It is exactly what happened to Appalachian coal communities over the past 30 years, to steel towns in the 1980s, and to textile communities before that. The transition, if disorderly, replicates this pattern simultaneously across dozens of geographies globally, with less time for adaptation.

What the Santa Marta Framework Did and Did Not Address

Returning to the conference outcomes: this dimension was partially acknowledged but structurally underaddressed.

The conference identified three workstreams, one of which focused on fiscal policy and debt. The discussions recognized that:

• Fossil fuel subsidy elimination must be sequenced carefully to avoid abrupt revenue collapse
• Debt sustainability in producer nations requires international financial architecture
• Worker transition requires advance planning and funding

What was not resolved, and what remains the gaping hole in the global transition architecture, is:

• No mechanism for managed liability transfer of environmental remediation obligations from private to public sector (or to a funded transition authority) in bankruptcy scenarios
• No global pension protection framework for fossil fuel industry workers across jurisdictions
• No municipal bond backstop for fossil-fuel-dependent local governments
• No orderly resolution mechanism for sovereign debt crises in petrostates; the existing IMF framework is designed for balance of payments crises, not structural economic transformation
• No agreement on who pays for the stranded asset losses: producers, consumers, governments, or international community

The investor protection question is particularly thorny. The Investor-State Dispute Settlement (ISDS) mechanism, which Colombia’s President Petro pledged to exit at Santa Marta, currently allows fossil fuel companies to sue governments for policy changes that impair asset values. Several such cases are already in arbitration: RWE suing the Netherlands for €1.4 billion over coal phase-out policy; TC Energy (Keystone XL) claiming $15 billion from the US government. These cases represent the legal operationalization of the stranded asset problem and create a direct deterrent to aggressive phase-out policy.

The Stock Market Systemic Risk

The aggregate market risk is not simply the sum of individual company impairments. Financial markets are interconnected in ways that create contagion risk, the 2008 financial crisis being the template.

The mechanism of contagion in a disorderly fossil fuel asset deflation would work approximately as follows:

Energy sector equity prices decline → energy company credit ratings downgraded → bond prices fall → leveraged investors (hedge funds, banks with trading books) face margin calls → forced selling of other assets → broad market decline → pension fund asset values fall → pension funds forced to sell equities to rebalance → further price pressure → credit markets tighten → real economy credit availability reduced → recession.

This is not a guaranteed outcome. It is a tail risk scenario that becomes more probable the more disorderly the transition is. Managed transitions with long runways, clear policy signals, and adequate financial backstops substantially reduce this risk. Abrupt, politically-driven phase-outs, which activist pressure at conferences like Santa Marta sometimes pushes toward, substantially increase it.

The central banks are aware of this risk. The Network for Greening the Financial System (NGFS), a coalition of 130+ central banks and financial supervisors, has been running climate scenario analysis precisely because systemic financial stability is implicated. The Bank of England, ECB, and Federal Reserve have all identified climate transition risk as a potential source of financial instability. But awareness has not yet translated into the macroprudential policy frameworks that would actually manage the risk.

What a Responsible Financial Transition Architecture Would Require

Building on the program management framework from the previous discussion, the financial dimension specifically requires:

A Fossil Fuel Asset Resolution Authority, modeled on the Resolution Trust Corporation used to manage the US Savings & Loan crisis, with the mandate and capital to acquire stranded assets, manage orderly wind-down, fund environmental remediation, and protect worker pension obligations. Capitalization would need to be in the hundreds of billions of dollars for the US alone, and in the trillions globally.

A Sovereign Transition Bond mechanism, similar to Brady Bonds used to resolve the 1980s Latin American debt crisis, allowing petrostates to restructure fiscal dependency while maintaining debt service, with multilateral guarantees making the bonds attractive to international investors.

Mandatory transition reserve funds for operating fossil fuel companies, similar to nuclear decommissioning funds, requiring companies to set aside capital throughout their operating life specifically for closure and remediation costs, preventing the orphaned liability problem.

Municipal fiscal transition support: federal and international backstops for local governments whose tax bases are structurally impaired by the transition, preventing the collapse of public services in affected communities.

Pension ring-fencing: legal and financial mechanisms ensuring fossil fuel industry pension obligations are fully funded and protected from corporate bankruptcy proceedings, likely requiring government backstop guarantees.

The Bottom Line

To directly answer your question: this financial dimension was partially but inadequately included in the foregoing analysis. The stranded asset problem, the bankruptcy cascade risk, the orphaned environmental liability issue, the pension exposure, the municipal bond vulnerability, and the sovereign debt crisis potential collectively represent what may be the most acute near-term systemic risk of the transition: more immediately dangerous than the physical climate risks, more politically explosive than energy price increases, and more technically complex than the engineering challenges.

The honest assessment is that no government or international institution has yet designed a financial architecture adequate to manage this risk. The Santa Marta process has opened the political conversation. The financial engineering needed to execute a non-catastrophic transition remains, as of today, largely undesigned. That gap, between the political aspiration expressed in Colombia and the financial reality of unwinding a $25–40 trillion asset base without triggering a global depression, may be the defining implementation challenge of the 21st century.

YOU

My response is “be careful what you wish for” tempered by “in view of the impacts of inaction vs. the impacts of proactively addressing the problems and roadblocks of transitioning away from hydrocarbon dependency.”

Finally, I have been admonished for utilizing AI to investigate my climate-transition qualms and to help reveal and express the feared conundrums.

Please assess the pros and cons of using AI in this regards in view of the additional burdens and uncertainties for which AI is seen as an existential threat.

CLAUDE

Your “be careful what you wish for” framing is exactly the right epistemic posture. It captures the genuine tragedy structure of the situation: every available path carries serious costs, and the choice is not between a good option and a bad one but between different configurations of risk, harm, and uncertainty distributed across time and populations.

Now, to your final question, which is itself a rather elegant recursion: using AI to examine a civilizational challenge while AI is simultaneously cited as part of that challenge.

The Admonishment Itself Deserves Examination

Before the pros and cons, it is worth asking: what exactly is the concern behind the admonishment? It likely contains several distinct objections bundled together, which should be separated because they have different validities:

• AI consumes significant energy, therefore using it contributes to the problem
• AI produces misinformation or false confidence on complex topics
• AI displaces human expert judgment on matters requiring genuine expertise
• AI represents a concentration of power in the hands of a few corporations
• AI itself is an existential threat that should not be normalized or expanded

Each of these deserves honest assessment rather than dismissal or capitulation.

The Energy and Carbon Cost of AI: Honest Accounting

This is the most concrete and quantifiable objection, so it should be addressed first with precision rather than either defensiveness or exaggeration.

Large language model inference (what happens when you ask Claude a question) consumes real electricity. A conversation of the length and complexity of this one might consume somewhere between 0.01 and 0.1 kilowatt-hours of electricity, depending on model size, query complexity, and data center efficiency. At current US grid carbon intensity, that translates to roughly 5–50 grams of CO₂ equivalent.

For comparison: a single mile driven in a gasoline car produces approximately 400 grams of CO₂. A transatlantic flight produces roughly 500,000–1,000,000 grams per passenger. A beef burger produces approximately 2,500–3,500 grams.

The energy cost of this entire conversation is roughly equivalent to driving your car 200–400 meters.

That does not mean AI energy consumption is trivial at aggregate scale. Data centers globally consume approximately 1–2% of world electricity, and AI workloads are the fastest-growing component of that. Anthropic, Google, Microsoft, and others are racing to power data centers with renewable energy, with varying degrees of credibility in those commitments. The aggregate trajectory of AI energy consumption is a legitimate concern that the industry must address seriously.

But the specific claim that your use of AI to think through climate transition issues meaningfully worsens the climate problem fails basic proportionality analysis. The carbon cost of this conversation is orders of magnitude smaller than, for example, one business flight to attend a climate conference, a trade-off that climate advocates make routinely without similar admonishment.

The Pros of Using AI for This Kind of Inquiry

Synthesis across disciplines that no single human expert spans.

The question you have been exploring requires simultaneous competence in petroleum chemistry, refinery engineering, global logistics, macroeconomics, sovereign debt mechanics, financial systems, program management, workforce planning, political science, and climate science. No single human expert, however distinguished, holds all of these with equal depth. A petroleum engineer knows refinery economics cold but may have little feel for sovereign debt restructuring. A climate economist understands carbon pricing mechanisms but may have limited grasp of electrochemical engineering constraints. AI can hold these domains in simultaneous view and identify cross-domain dependencies that siloed expertise misses.

Reduction of access barriers to sophisticated analysis.

Before AI, the kind of multi-dimensional analysis in this conversation was available only to people with access to expensive consultants, well-resourced think tanks, or elite academic networks. The democratization of analytical capacity, allowing a thoughtful individual anywhere in the world to probe these questions rigorously, has genuine social value. The admonishment that you should not use AI for this implicitly suggests you should instead rely on… what? Expensive consultants? Curated mainstream media? Your own unaided research across dozens of specialist literatures? None of these alternatives is obviously superior.

Honest acknowledgment of uncertainty.

Good AI responses on complex topics (and you should hold AI to this standard) should explicitly flag where knowledge is uncertain, where projections are speculative, where expert disagreement exists, and where the AI’s own limitations apply. A good human expert also does this, but social and professional pressures often push human experts toward false confidence. AI has no career to protect and no consulting contract to maintain.

Iterative depth.

The conversation you have conducted demonstrates a particular strength of AI dialogue: the ability to pursue a question through successive layers of depth, with each answer revealing new questions, without the social friction of asking a human expert to give you four hours of their time across five increasingly technical follow-up questions. This iterative probing is genuinely valuable for developing sophisticated personal understanding of complex issues.

Speed of synthesis relative to alternatives.

The alternative to this conversation, for a person genuinely trying to understand the full complexity of the fossil fuel transition, would be reading perhaps 40–60 serious books and hundreds of academic papers over several years, if they had the background to evaluate them. AI compression of that synthesis, while imperfect, provides a starting framework that can then be deepened through targeted reading of primary sources.

The Cons and Legitimate Concerns

The false confidence problem: the most serious concern.

AI responses are fluent, structured, and authoritative in tone even when wrong or uncertain. The very qualities that make AI useful for synthesis (the ability to generate coherent, well-organized analysis across domains) also make it capable of generating coherent, well-organized errors. A human expert who is out of their depth typically sounds uncertain. AI sounds equally confident whether synthesizing well-established consensus or confabulating plausible-sounding nonsense.

The mitigation is user sophistication: treating AI output as a starting framework requiring verification against primary sources, not as a terminal answer. You appear to be doing this; your questions are probing and skeptical, not credulous. But many users do not maintain this posture, and the aggregate effect of AI-generated false confidence on public discourse about complex topics is a legitimate concern.

The displacement of genuine expertise.

If AI makes sophisticated-sounding analysis so accessible that people stop consulting, and funding, and respecting genuine domain experts, something real is lost. The petroleum engineer who spent 30 years in refineries, the sovereign debt economist who has restructured actual country debt, the community organizer who has lived through a coal town’s collapse: their knowledge has textures, specificities, and earned wisdom that AI synthesis cannot fully replicate. The risk is not that AI is used alongside expert knowledge but that it substitutes for it at scale.

The concentration of epistemic power.

When a significant fraction of humanity uses a small number of AI systems to understand complex questions, those systems’ framings, emphases, and blind spots become enormously influential. Anthropic, OpenAI, Google, and a handful of other organizations are making choices about training data, about what to reinforce, about what to refuse, that shape how billions of people think about the most important questions of their time. This concentration of epistemic influence, regardless of how responsibly it is exercised, is a structural concern that reasonable people should hold even while using AI.

The AI energy and water consumption trajectory.

While the per-conversation cost is small, the trajectory matters. If AI use scales by 100x over the next decade, which current growth rates suggest is plausible, and if that scaling is not matched by decarbonization of data center power, the aggregate climate impact becomes non-trivial. Using AI to understand climate transition while AI contributes to the problem it is helping you understand is an irony that deserves acknowledgment even if it does not justify the specific admonishment you received.

The AI existential risk question: the broadest concern.

Some of those admonishing you likely have in mind not the energy cost but the broader argument that AI represents an existential risk to humanity (through misalignment, concentration of power, displacement of human agency, or acceleration of other risks) and that normalizing AI use is therefore complicit in that risk regardless of the specific application.

This is a serious philosophical and technical debate, not a fringe concern. Anthropic itself, the company that makes Claude, was founded in significant part on existential risk concerns about AI and structures its research around trying to make AI safe. The concern deserves engagement rather than dismissal.

The honest response is that this concern, while legitimate at a civilizational level, does not straightforwardly translate into the conclusion that individuals should not use AI for research and analysis. By the same logic, one should not use nuclear power even if it is the lowest-carbon firm power available, should not use the internet even though it concentrates power in platform monopolies, should not use pharmaceuticals even though the healthcare-industrial complex has serious pathologies. Technology use and technology governance are related but distinct questions.

The Deeper Irony Worth Sitting With

There is a genuine and somewhat beautiful irony in your situation that deserves acknowledgment rather than resolution.

You are using a technology that:

• Runs on data centers powered partly by fossil fuels
• Is built by companies with their own complex relationships to the energy transition
• Is itself cited as a significant future energy consumer
• Represents a concentration of epistemic and economic power

…to develop a sophisticated understanding of why fossil fuel dependency is dangerous, why concentrated power structures are problematic, and why the costs of major transitions fall inequitably on the most vulnerable.

The tool and the subject are entangled. This is not a reason to stop. It is a reason to think carefully about how to use the tool, what to verify independently, whose expertise to seek out as complement, and how to hold the analysis with appropriate humility.

Your instinct to temper “be careful what you wish for” with “but inaction has its own catastrophic costs” applies with equal force to the AI question itself. The alternative to using AI to understand complex problems is not some purer epistemic state. It is reliance on other imperfect information sources, each with their own distortions, access barriers, and embedded interests.

A Final Assessment

The admonishment you received reflects real concerns that deserve respect but overstates the case against your specific use. Using AI to probe, synthesize, and articulate a sophisticated understanding of one of the most complex challenges in human history is, on balance, a net positive use of the technology, provided you:

• Treat the output as a starting framework, not a terminal answer
• Verify specific factual claims against primary sources when they matter
• Seek out genuine domain experts for decisions with real consequences
• Maintain awareness of AI’s limitations and potential for fluent error
• Hold the irony of the tool-subject entanglement with intellectual honesty

Which, from the quality and sophistication of your questions throughout this conversation, you appear to be doing already. The admonishment may say more about the admonisher’s discomfort with a new and unsettling technology than about any genuine harm your inquiry has caused.

The questions you have been asking are exactly the right questions. The fact that you are asking them at all (probing the gap between political aspiration and physical reality, between financial risk and managed transition, between civilizational necessity and democratic feasibility) suggests a quality of civic engagement that the transition will desperately need more of, not less, regardless of what tools are used to develop it.

Proceedings of the National Academy of Sciences (PNAS)

Chi Xu, Timothy A. Kohler, and Marten Scheffer

Contributed by Marten Scheffer, October 27, 2019 (sent for review June 12, 2019; reviewed by Victor Galaz and Luke Kemp)

May 4, 2020 117 (21) 11350-11355 https://doi.org/10.1073/pnas.1910114117

Significance

We show that for thousands of years, humans have concentrated in a surprisingly narrow subset of Earth’s available climates, characterized by mean annual temperatures around ∼13 °C. This distribution likely reflects a human temperature niche related to fundamental constraints. We demonstrate that depending on scenarios of population growth and warming, over the coming 50 y, 1 to 3 billion people are projected to be left outside the climate conditions that have served humanity well over the past 6,000 y. Absent climate mitigation or migration, a substantial part of humanity will be exposed to mean annual temperatures warmer than nearly anywhere today.

Abstract

All species have an environmental niche, and despite technological advances, humans are unlikely to be an exception. Here, we demonstrate that for millennia, human populations have resided in the same narrow part of the climatic envelope available on the globe, characterized by a major mode around ∼11 °C to 15 °C mean annual temperature (MAT). Supporting the fundamental nature of this temperature niche, current production of crops and livestock is largely limited to the same conditions, and the same optimum has been found for agricultural and nonagricultural economic output of countries through analyses of year-to-year variation. We show that in a business-as-usual climate change scenario, the geographical position of this temperature niche is projected to shift more over the coming 50 y than it has moved since 6000 BP. Populations will not simply track the shifting climate, as adaptation in situ may address some of the challenges, and many other factors affect decisions to migrate. Nevertheless, in the absence of migration, one third of the global population is projected to experience a MAT >29 °C currently found in only 0.8% of the Earth’s land surface, mostly concentrated in the Sahara. As the potentially most affected regions are among the poorest in the world, where adaptive capacity is low, enhancing human development in those areas should be a priority alongside climate mitigation.

Global warming will affect ecosystems as well as human health, livelihoods, food security, water supply, and economic growth in many ways (1, 2). The impacts are projected to increase steeply with the degree of warming. For instance, warming to 2 °C, compared with 1.5 °C, is estimated to increase the number of people exposed to climate-related risks and poverty by up to several hundred million by 2050. It remains difficult, however, to foresee the human impacts of the complex interplay of mechanisms driven by warming (1, 3). Much of the impact on human well-being will depend on societal responses. There are often options for local adaptations that could ameliorate effects, given enough resources (4). At the same time, while some regions may face declining conditions for human thriving, conditions in other places will improve. Therefore, despite the formidable psychological, social, and political barriers to migration, a change in the geographical distribution of human populations and agricultural production is another likely part of the spontaneous or managed adaptive response of humanity to a changing climate (5). Clearly there is a need to understand the climatic conditions needed for human thriving. Despite a long and turbulent history of studies on the role of climate, and environment at large, on society in geography and beyond (6), causal links have remained difficult to establish, and deterministic claims largely refuted, given the complexities of the relationships in question (7). Rather than reentering the murky waters of environmental determinism (8, 9), here we take a fresh look at this complex and contentious issue. We mine the massive sets of demographic, land use, and climate information that have become available in recent years to ask what the climatic conditions for human life have been across the past millennia, and then examine where those conditions are projected to occur in the future.

Results

Current and Past Human Association to Climate.

Our results reveal that today, humans, as well as the production of crops and livestock (Fig. 1 A, D, and E), are concentrated in a strikingly narrow part of the total available climate space (Fig. 1G). This is especially true with respect to the mean annual temperature (MAT), where the main mode occurs around ∼11 °C to 15 °C (SI Appendix, Fig. S1). By contrast, much of range of precipitation available around that temperature (Fig. 1G and SI Appendix, Fig. S1) is used, except for the driest end. Soil fertility does not seem to be a major driver of human distribution (Fig. 1H), nor can potential productivity be a dominant factor, as net primary productivity shows a quite different geographical distribution (Fig. 1I), peaking in tropical rainforests, which have not been the main foci of human settlement.

Strikingly, the apparent conditions for human thriving have remained mostly the same from the mid-Holocene until now (Fig. 1 A–C). Reconstructions of human distribution and climate are relatively reliable for the past centuries, but uncertainty inevitably increases as we go further back in time. Nonetheless, the two independent sets of available reconstructions we analyzed suggest that as far back as 6000 y BP, humans were concentrated in roughly the same subset of the globally available temperature conditions (Fig. 1C and 2A), despite people at the time living quite differently from today, mostly in the early phases of agriculture or as hunter-gatherers. Historical contingency (including path dependence) may play some role in the inertia we observe, especially when it comes to the sites of economic dominance. However, such economic hotspots occur at somewhat colder conditions than the center of the population distributions (Fig. 1F vs. Fig. 1A), and explaining such patterns of economic dominance requires unraveling the dynamics of historical, cultural, and institutional settings (10–14), which is beyond the scope of this paper.

If we focus at the global distribution of population densities and examine how this codeveloped with climate over time, the precipitation niche turns out to have broadened over the past centuries (Fig. 1A vs. Fig. 1B), leaving only the driest part of the gradient unoccupied (Fig. 1A vs. Fig. 1G). In contrast, the human population distribution in relation to MAT has remained largely unaltered (Fig. 2A), with a major mode around ∼11 °C to 15 °C accompanied by a smaller secondary mode around ∼20 °C to 25 °C corresponding largely to the Indian Monsoon region (SI Appendix, Fig. S2). In the remainder, we focus on this realized temperature niche. Results for the combined precipitation–temperature niche are presented for comparison in the SI Appendix.

Projected Change.

The historical inertia of the human distribution with respect to temperature (Fig. 2) contrasts sharply to the shift projected to be experienced by human populations in the next half century, assuming business-as-usual scenarios for climate (Representative Concentration Pathway 8.5 [RCP8.5]) and population growth (socioeconomic pathway 3 [SSP3]) in the absence of significant migration (Fig. 2A, red curve). Absent climate mitigation or human migration, the temperature experienced by an average human is projected to change more in the coming decades than it has over the past six millennia (Fig. 2B; for different scenarios of population growth and climate change, see SI Appendix, Fig. S3). Compared with the preindustrial situation 300 y BP, the mean human-experienced temperature rise by 2070 will amount to an estimated 7.5 °C, about 2.3 times the mean global temperature rise, a discrepancy that is largely due to the fact that the land will warm much faster than the oceans (2), but also amplified somewhat by the fact that population growth is projected to be predominantly in hotter places (SI Appendix, Fig. S3).

One way to get an image of the temperatures projected to be experienced in highly populated areas in 2070 is to look at the regions where comparable conditions are already present in the current climate. Most of the areas that are now close to the historically prevalent ∼13 °C mode will, in 50 y have a MAT ∼20 °C, currently found in regions such as North Africa, parts of Southern China, and Mediterranean regions (SI Appendix, Fig. S4). Meanwhile, populations in regions that are currently hot already will grow to represent a major part of the global population (right-hand mode of the red curve in Fig. 2A; the role of population growth can be seen in SI Appendix, Figs. S5–S7). Those growing populations will experience MATs currently found in very few places. Specifically, 3.5 billion people will be exposed to MAT ≥29.0 °C, a situation found in the present climate only in 0.8% of the global land surface, mostly concentrated in the Sahara, but in 2070 projected to cover 19% of the global land (Fig. 3).

Another way to quantify change is through following the movement of the geographical location of the human temperature niche (Fig. 4 and SI Appendix, Figs. S8 and S9). For the RCP8.5 climate change scenario (2), the projected geographical shift of favorable conditions over the coming 50 y is substantial (Fig. 4). Indeed, the movement of the niche on the global map is larger than it has been since 6000 BP (SI Appendix, Figs. S8 and S9). These results are robust for different reconstructions of past climate, different approaches to projection of future climate (SI Appendix, Fig. S9), and different versions of the ArchaeoGlobe land use reconstructions. Adding precipitation as an additional climate dimension refines the pattern, mostly by excluding deserts, but leaves the overall picture the same (SI Appendix, Fig. S10). The bottom line is that over the coming decades, the human climate niche is projected to move to higher latitudes in unprecedented ways (SI Appendix, Fig. S11). At the same time, populations are projected to expand predominantly at lower latitudes (SI Appendix, Fig. S5), amplifying the mismatch between the expected distribution of humans and the climate.

A Hypothetical Redistribution.

As conditions will deteriorate in some regions, but improve in other parts (Fig. 4C and SI Appendix, Figs. S9 and S10), a logical way of characterizing the potential tension arising from projected climate change is to compute how the future population would in theory have to be redistributed geographically if we are to keep the same distribution relative to temperature (methods and detailed results in the SI Appendix, Material). Such a calculation suggests that for the RCP8.5 business-as-usual climate scenario, and accounting for expected demographic developments (the SSP3 scenario [15]), ∼3.5 billion people (roughly 30% of the projected global population; SI Appendix, Fig. S12) would have to move to other areas if the global population were to stay distributed relative to temperature the same way it has been for the past millennia (SI Appendix, Fig. S13). Strong climate mitigation following the RCP2.6 scenario would substantially reduce the geographical shift in the niche of humans and would reduce the theoretically needed movement to ∼1.5 billion people (∼13% of the projected global population; SI Appendix, Figs. S12 and S13). Obviously, different scenarios of population growth also have substantial effects on the absolute estimates of potential migration (SI Appendix, Table S3). Such niche movement estimates allow quantifying the implications of global warming in nonmonetary terms. For instance, accounting for population growth projected in the SSP3 scenario, each degree of temperature rise above the current baseline roughly corresponds to one billion humans left outside the temperature niche, absent migration (SI Appendix, Fig. S14).

Discussion

The transparency of our approach is appealing, but inevitably implies some loss of nuance. For instance, temperature captures only part of the relevant climate (16), and potentially important drivers of human thriving are linked in complex ways to climate (13). Importantly, while our projection of the geographical shift of the temperature niche is illustrative, it cannot be interpreted as a prediction of migration, as many factors other than climate affect decisions to migrate, and much of the migration demand may potentially be addressed through climate adaptation (5, 17, 18). Those complexities invite reflections on two key questions: First, how could the narrow realized temperature niche be explained? Second, what are the implications in terms of potential future migration in response to geographical displacement of the temperature niche?

The Question of Causality.

Why have humans remained concentrated so consistently in the same small part of the potential climate space? The full complex of mechanisms responsible for the patterns is obviously hard to unravel. The constancy of the core distribution of humans over millennia in the face of accumulating innovations is suggestive of a fundamental link to temperature. However, one could argue that the realized niche may merely reflect the ancient needs of agrarian production. Perhaps, people stayed and populations kept expanding in those places, even if the corresponding climate conditions had become irrelevant? Three lines of evidence suggest that this is unlikely, and that instead human thriving remains largely constrained to the observed realized temperature niche for causal reasons.

First, an estimated 50% of the global population depends on smallholder farming (19), and much of the energy input in such systems comes from physical work carried out by farmers, which can be strongly affected by extreme temperatures (20). Second, high temperatures have strong impacts (21–23), affecting not only physical labor capacity but also mood, behavior, and mental health through heat exhaustion and effects on cognitive and psychological performance (20, 24, 25). The third, and perhaps most striking, indication for causality behind the temperature optimum we find is that it coincides with the optimum for economic productivity found in a study of climate-related dynamics in 166 countries (12). To eliminate confounding effects of historical, cultural, and political differences, that study focused on the relation within countries between year-to-year differences in economic productivity and temperature anomalies. The ∼13 °C optimum in MAT they find holds globally across agricultural and nonagricultural activity in rich and poor countries. Thus, based on an entirely different set of data, that economic study independently points to the same temperature optimum we infer.

Altogether, it seems plausible that the historically stable association between human distribution and temperature reflects a causal link rather than a legacy, contingent on ancient patterns reflecting agrarian needs or still-more-ancient hunter-gatherer preferences. This supports the view that the historically stable and tight relationship of human distribution to MAT represents a human temperature niche reflecting fundamental constraints on human populations.

Migration as a Possible Response to Climate Change.

Obviously, our hypothetical redistribution calculations cannot be interpreted in terms of expected migration. First of all, detailed regional studies suggest that migration responds nonlinearly to temperature (18, 26, 27). Thus, migration may speed up only when a critical climate threshold is reached. More generally, migration decisions tend to be avoided and depend on a complex array of factors including adaptation options (5, 17, 18). This implies that realized migration numbers will likely be much lower than suggested by the discrepancy between the expected location of the temperature niche and actual distributions of population, even though we have not considered several drivers that could exacerbate movements, such as extreme weather events or projected sea-level rise, which may by themselves lead to substantial population displacements worldwide (28, 29).

Clearly, projections of the magnitude of climate-driven future migration (including asylum seeking) will remain highly uncertain. Even seemingly straightforward links between climate and recent conflicts and migration waves are contentious. For instance, in the years leading up to the current Syrian exodus, the fertile crescent has likely been experiencing the worst drought in 900 y, making subsistence farming in the countryside extremely hard and driving millions in Syria to the cities, where tensions increased (30). However, as many factors play a role, assessing the relative role of climate in such specific conflict or mass migration events always remains challenging (31, 32). This is not to say that there is no evidence for a causal relationship between conflicts and climate events such as prolonged droughts, both now (33) and in the past (34). In fact, the literature is replete with evidence for ancient episodes of climate-triggered human migration and upheaval (e.g., refs. 34–40). For instance, the coldest phase of the Little Ice Age in Europe (1560 to 1660 AD) has been causally linked to a peak of migration (1580 to 1650 AD) and a European population collapse to a minimum in 1650 AD (41). Earlier, the Late Antique Little Ice Age from 536 to about 660 AD affected most of the Northern Hemisphere, likely contributing to the transformation of the Roman Empire, movements out of the Asian steppe and Arabian Peninsula, spread of Slavic-speaking peoples, and upheavals in China (40). Clearly, lessons from such ancient dynamics cannot be directly extrapolated to modern times. However, while outcomes are context dependent, and confounding social, cultural, and political considerations are always present, a range of analyses suggests that changes of climatic conditions can exert enough stress to trigger migration (5, 17, 18, 42), part of which can take the form of asylum-seeking waves in response to climate-driven conflicts (43).

It thus seems reasonable to assume that at least part of the discrepancy caused by the projected geographical shift in the human temperature niche could be reduced through different forms of migration. However, it remains impossible at this point to foresee the extent of climate-driven redistribution of the human population. Technoeconomic scenarios, political developments, institutional changes, and socioeconomic conditions that affect adaptation options may profoundly affect outcomes in ways that will be worth exploring in further scenario analyses utilizing the different assumptions underlying the SSPs. Also, rising mortality impacts of heat waves on dense populations in already-hot places such as India invite further scrutiny (44). Follow-up work is needed to search for integrative avenues for effective adaptation, as well as defining fundamental limitations to what is possible given available resources.

Outlook.

In summary, our results suggest a strong tension between expected future population distributions and the future locations of climate conditions that have served humanity well over the past millennia. So far, the scope for local adaptation has been the dominant focus for analyses of possible responses to a changing climate (4), despite a striking lack of realized adaptation in most regions (12, 13). It is not too late to mitigate climate change and to improve adaptive capacity, especially when it comes to boosting human development in the Global South (45, 46). However, our approach naturally raises the question of what role redistribution of populations may come to play. Migration can have beneficial effects to societies, including a boost to research and innovation (47). However, on larger scales, migration inevitably causes tension, even now, when a relatively modest number of ∼250 million people live outside their countries of birth (48). Looking at the benefits of climate mitigation in terms of avoided potential displacements may be a useful complement to estimates in terms of economic gains and losses.

Methods

We characterized the human climate niche using global gridded datasets for human population as well as a range of social and environmental variables. We used the current population data as well as reconstructed population data available from the History Database of the Global Environment (HYDE 3.1) (49). For early periods, these population data are hindcast from multiple sources. For mid-Holocene, we therefore complement the HYDE data with a reconstruction described in the SI Appendix and based on direct estimates from archaeology (50). Details on the sources and preprocessing of data on crop production, livestock distribution, gross domestic product, and past and present MAT and mean annual precipitation (MAP) are also presented in the SI Appendix. We plotted heat maps illustrating the past and current human climate niche by calculating the mean population density and other variables within each MAT and MAP combination bin and smoothing the result, excluding bins with sparse data points. We also present running means of relevant variables separately against MAT and MAP in the SI Appendix. Uncertainties were characterized as the fifth and 95th percentiles, using different population and climate datasets (SI Appendix).

We modeled the realized human temperature niche based on double-Gaussian fitting of the running mean of the current population distribution against MAT (Fig. 2A, blue dashed curve). We then projected the modeled niche to the past (6 Ky BP) and future (2070) climate conditions (under different Intergovernmental Panel on Climate Change RCPs) to illustrate the potential geographic shift of human temperature niche under near-future global warming. To test for the robustness against adding precipitation as an additional dimension of human climate niche, we also projected the smoothed human distribution in terms of MAT and MAP to the past and future climates for comparison.

To quantify the projected shift of the human temperature niche, we calculated proportions of summed niche gain or loss. By multiplying the projected world’s total population (under different IPCC SSPs) by the proportion of displaced niche, we estimated the numbers that would potentially be displaced if the probability distribution over temperatures were to remain unchanged by 2070.

A detailed description of our materials and methods may be found in the SI Appendix, where the reader may also find a broad set of additional results and sensitivity analyses, as well as a Dryad link to the data used and scripts for all computations.

Acknowledgments

We thank Els Weinans and Shuqing Teng for assistance in data processing and code checking. We also thank Andrew Gillreath-Brown, Henry Wright, Pablo Marquet, and Jennifer Dunne for insightful discussions at the Santa Fe Institute, and Neil Adger for insightful comments on the challenge of foreseeing migration dynamics. This work was partly funded by the National Key R&D Program of China (Grant 2017YFC0506200 to C.X.), the National Natural Science Foundation of China (Grant 31770512 to C.X.), the European Research Council Advanced Grant and Spinoza award (to M.S.), and a Santa Fe Institute Working Group on The Human Niche (to T.A.K. and M.S.). T.A.K. acknowledges support from the US National Science Foundation Grant SMA-1637171. T.M.L.’s contribution was supported by the Leverhulme Trust (Grant RPG-2018-046) and the Alan Turing Institute, through a Turing Fellowship. J.-C.S. considers this work a contribution to his VILLUM Investigator project “Biodiversity Dynamics in a Changing World” funded by VILLUM FONDEN (Grant 16549).

https://www.pnas.org/doi/full/10.1073/pnas.1910114117

David Spratt posed the question Monday 27 July, 2026:

Could Four Billion People Die at 3°C?

The claim that four billion people could die in a 3°C warmer world has become a powerful climate narrative. But what does the science actually support, and where does evidence end and speculation begin?

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David’s purpose was to debunk the exaggeration of deaths, but what I find to be a clear take-away is that masses of people will be adapting to an overheating world by fleeing those hottest places, heading to cooler regions. I recommend reading the entire article here, but if you want to get to the bottom line as I see it … read on below.

The world at 3°C

In a 3°C hotter world, large parts of the tropics will suffer “near-unlivable” extreme heat conditions, there will be less rainfall over significant parts of the dry subtropics, and this combined with increased evaporation rates will lead to drying out and desertification across the dry subtropics. New extremes — of rainfall and heat, flooding and drought — beyond human experience and beyond model expectations will occur. And a committed sea-level rise of many metres will be in the slow process of inundating coastal cities and deltas.

Some research, which is contested, suggests 3°C could cut global GDP by half. Last year, Australian researchers concluded that at 3°C, by the end of the century, the estimated harm to the global economy would be 40%, which “could devastate livelihoods in large parts of the world”.  Coral reef systems would be gone, and that alone means coastal ecosystems would only be able to provide 20–50% of the fish protein that they do today for half a billion people around the world.

In 2021, the Australian Academy of Science published a report co-authored by David Karoly on Risks to Australia of a 3-degree warmer world. Amongst other things, it said that at 3°C, heatwaves would happen as often as seven times a year, with events lasting 16 days on average, “fire risk (driven by record heat, dryness and fuel) will increase by 30 per cent or more in south-eastern Australia”, and yields of key crops would reduce “by between 5 and 50%, depending on crop and location”.  Other research estimates that “beyond 2°C warming, the declines in suitable areas for the 30 crops [analysed] become more pronounced – in some cases approaching and passing 50%”.  That in itself would cause global chaos.

A 2020 study on extreme heat found that at 2.7°C, up to 3.5 billion people will be exposed to temperatures outside the “human niche”, that is, the climate conditions that have served humanity well over the past 6000 years. Further research published in 2023 described a zone of near unlivable heat, “a situation found in the present climate only in 0.8% of the global land surface, mostly concentrated in the Sahara, but in 2070 projected to cover 19% of the global land” (Figure 3). Prof. Marten Scheffer said those pushed outside the climate niche might consider migrating to cooler places: “Not just migration of tens of millions of people but it might be a billion or so.”

And at 2.7°C, scientists say that  the Arctic would be “transformed beyond contemporary recognition: the Arctic Ocean would be essentially ice free for several months in summer, the area of Greenland that reaches melting temperatures for at least a month would roughly quadruple, and the area of permafrost would be roughly half of what it was in preindustrial times.”

Potsdam Institute Director Prof. Johan Rockstrom says that such a level of warming is “something that humanity has absolutely no evidence that we can cope with… Push ourselves to 2.5°C – we’re in unknown terrain. It would lead to a complete melting of the big ice sheets, which would be a 10-metre sea level rise… There would be a collapse of all the big biomes on planet Earth – the rainforest, many of the temperate forests – abrupt thawing of permafrost, we will have complete collapse of marine biology, we will have a shift of large parts of the habitability on Earth.”

Twenty years ago, a group of US security analysts constructed a 3°C scenario:

“Massive nonlinear events in the global environment give rise to massive nonlinear societal events. In this scenario, nations around the world will be overwhelmed by the scale of change and pernicious challenges, such as pandemic disease. The internal cohesion of nations will be under great stress, including in the United States, both as a result of a dramatic rise in migration and changes in agricultural patterns and water availability. The flooding of coastal communities around the world, especially in the Netherlands, the United States, South Asia, and China, has the potential to challenge regional and even national identities. Armed conflict between nations over resources, such as the Nile and its tributaries, is likely and nuclear war is possible. The social consequences range from increased religious fervour to outright chaos. In this scenario, climate change provokes a permanent shift in the relationship of humankind to nature’ (emphasis added).”

So how many would die, and how many would survive in this 3°C world?

Displacement and mortality

The “human niche” papers on near-unliveable heat found that these extremes are projected to envelop 1.2 billion people in India, 485 million in Nigeria and more than 100 million in each of Pakistan, Indonesia and Sudan. Many would be forced to move to a more liveable climate. Another study from the same year of 2020 concluded that warming of 2°C could provide more than 500 million people additional incentive to emigrate, whilst warming of 3°C could provide additional incentive-to-emigrate to well over a billion people.

The idea that a billion people may be displaced may seem fanciful, but the UN also agrees with this figure: “Unless we change the way we manage our land, in the next 30 years we may leave a billion or more vulnerable poor people with little choice but to fight or flee.”

The figures may be much, much higher than this, but there are so many variables, so many social unknowns, that any figure can only be a guesstimate by social scientists and security analysts, based on a scientifically-credible scenario.

Climate disruption kills people in many ways, including by direct physical impacts (heat stress, floods, cyclones and other extreme events), by severe food insecurity, through displacement and conflict, by increased disease and poorer health outcomes, and so on.

The 2025 report of the Lancet Countdown on health and climate changereported a 63% increase in heat-related deaths since the 1990s, reaching an estimated 546,000 yearly deaths on average in 2012–21. The higher number of heatwave days and drought months in 2023 compared with 1981–2010 was associated with 123.7 million more people experiencing moderate or severe food insecurity in 124 countries analysed. As hotter and drier weather increases the risk of wildfires, 2024 had a record-high 154,000 deaths from wildfire smoke-derived small particulate matter (PM2·5) air pollution.

What about future mortality rates? Joshua Pearce of the University of Western Ontario says if warming reaches or exceeds 2°C, it is likely that mainly richer humans will be responsible for the death of roughly one billion mainly poorer humans over the next century. This is based on a review of the literature by Pearce and Parncutt, which found mortality costs of carbon emissions converged on the “1,000-ton rule”: an estimate that one future premature death is caused every time approximately 1,000 tons of fossil carbon are burned. Their best- and worst-case figures were 300 million and three billion for 2°C.

By this logic, the mortality range at 3°C would be in the range of 450 million to 4.5 billion.  Of course, this assumes a linear relationship between emissions and mortality, but that assumption is based on observed conditions that are far different from those humans will face in the second half of the century.

It should also be noted that in 2019, Rockström told The Guardian that in a 4°C-warmer world: “It’s difficult to see how we could accommodate eight billion people or maybe even half of that. There will be a rich minority of people who survive with modern lifestyles, no doubt, but it will be a turbulent, conflict-ridden world.”

So four billion dead at 3°C? Immediately or when the full physical and social impacts are realised over many centuries? Depending on deeply uncertain adaptation and other political responses? Between expert estimates of degrees of magnitude and worse-case conjecture, it’s complicated, but it will an appalling, unimaginably large number.

https://safeclimate.org.au/article/could-four-billion-people-die-at-3c/

Previous post: Sir David King on EU Methane Gas

Visit The Biggest Lie – We Don’t Have Time for action

This year, We Don’t Have Time turns ten. Which means I have spent ten years inside the climate crisis, more or less around the clock. My two youngest children have never really known a father whose work was anything else. Ten years of broadcasts, climate weeks and COPs across continents. Ten years of being away, working late, raising money and fighting to keep this work alive.

After ten years, I thought I would feel that we had accomplished something. That all those years, all that work, all that sacrifice had moved us somewhere.

Instead, I mostly feel exhausted.

Because the crisis did not slow down while we worked on it. After ten years, it feels more urgent than the day we started. And watching the summer of 2026 unfold, that exhaustion has deepened into something closer to grief. Because I can finally name the thing that has been killing us, and it is not carbon dioxide.

It is a lie. I believe it is the biggest lie ever told, and I will show you why I have come to that conclusion. It is not shouted by extremists. It is spoken calmly, by reasonable people, in parliaments, boardrooms and news studios. It is only four words long:

“We have more time.”

THE SENTENCE THAT GOVERNS THE WORLD

The First Lie

Be precise about which lie I mean, because the wrong one gets all the attention. The deniers who claim there is no problem are a distraction. Barely 15 percent of Americans still believe them. The lie that actually governs the world is the respectable version: the one that accepts the science, praises the Paris Agreement, and schedules the solution for a decade that keeps moving. The film director Adam McKay, who made Don’t Look Up, recently named this exact lie: climate change is real, but not urgent. Keep doing what you’re doing.

The lie had authors. Researchers found that Exxon’s own climate models from 1977 onward predicted global warming with remarkable accuracy while its public messaging said the opposite. But here is what makes it the perfect crime: the lie no longer needs liars. It survives because it is comfortable, because it flatters the institutions repeating it, and because contradicting it sounds extreme. The biggest lies are never enforced. They are hosted.

And the truth it hides is this: it is already too late. Too late to avoid catastrophe, because the catastrophe has started. What is not too late, and everything in this article hangs on the distinction, is deciding how big it becomes. We wrote that distinction into our manifesto when we founded We Don’t Have Time: the question is no longer whether catastrophe comes, but the extent of it, and whether it breaks our societies.

I reread those lines this summer. Ten years ago they were a warning. Today they are a description.

In 2024, for the first time, a full calendar year exceeded 1.5°C above pre-industrial levels.

This June, during the record-breaking heatwave across Western Europe, 10,650 excess deaths were recorded in a single week. Not projections. Not future victims. People who were alive eight weeks ago, in Europe, one of the richest and best-prepared regions in the world.

And it is only where the curve begins. The IPCC projects an excess of 250,000 deaths per year by 2050, with high confidence. That is 25 weeks like the one Europe just lived through, every single year, within the working life of everyone reading this. And it is a deliberately conservative estimate: it counts only four causes of death and leaves out storms, floods, wildfires, conflict and migration entirely.

Yet our politics still speaks in the future tense, and our leaders act on the tense, not the facts. This summer, while three heatwaves hit Europe in three months, I documented 45 climate policy reversals in one year, across 15 jurisdictions, six of them landing during the heatwave itself. Not one of those decisions is possible without the four words. Nobody weakens a carbon market or reopens Arctic oil blocks while believing we don’t have time. Every reversal is the lie, written into law.

History Keeps A File On Lies Like This

I did not reach for that superlative lightly. Ten years inside this crisis forces you to study how societies lie to themselves, and I have spent a long time with the other candidates. So count the dead with me.

The pattern never changes. The facts were known early. The lie was maintained not by villains but by institutions protecting their comfort. And the respectable press rarely lied outright; it whispered. It printed the known catastrophe small, on the inside pages, hedged with doubt, while the front page carried the ordinary news of the day. I recognize that whisper every time a record-shattering heatwave runs below the fold.

Why This One Is The Biggest

People reach for “the earth is flat” as history’s biggest lie. Revealing mistake: educated people have known the earth is round since antiquity. The truly big lies are never about facts nobody knew. They are about facts everyone in power knew. Judge the four words that way, on three dimensions.

Then there is the body count still scheduled. A Nature Communications study, looking only at temperature-related deaths, estimated 83 million additional deaths by 2100 in a world that reaches 4.1°C of warming and finds 74 million of them still preventable through rapid decarbonization. That is the conservative estimate. The other estimate comes from actuaries, whose job is to measure risk. In its Planetary Solvency report, the Institute and Faculty of Actuaries and the University of Exeter classify 2°C or more of warming by 2050 as a risk of more than two billion deaths and at least 25% of global GDP lost. At 3°C or more, they classify the risk as extreme with more than four billion deaths.

These are not forecasts. They are risk scenarios, calculated in much the same way insurers assess the chance and cost of disasters. And notice: we do not call actuaries alarmists when they make us insure the house against a fire that will probably never come. We pay the premium, because the loss would be unsurvivable. This is that mathematics, applied to everything.

How can serious institutions be this far apart? Because they measure different things. The IPCC’s number is a floor: four causes of death, counted one at a time, assuming functioning societies and successful adaptation, in a process every government including the petrostates signs off on. Researchers who studied the IPCC’s track record found it systematically understates what then happens, erring, in their words, on the side of least drama. The actuaries ask what the floor cannot: what happens when the impacts stop taking turns, when crop failures become food crises become migrations become wars. The truth almost certainly lies between the floor and the scenario, and that uncertainty is not a comfort. It is the problem. Yet notice which number gets quoted in parliaments. Always the floor. The lie’s most elegant trick is to take science’s hard-won caution, built as armour against the deniers, and read it back to us as reassurance.

Two billion.

A RISK, NOT A FORECAST — AND PRICED BY ACTUARIES

I have sat with that number for months, and I still do not know what to do with it. The deadliest event in our history, the Second World War, killed roughly 70 to 85 million people. The actuaries are describing a risk twenty-five times that size, and at 3°C, fifty times, inside the lifetime of children who are in school today. Read that again. And remember that a risk, unlike a forecast, is exactly the kind of thing you are supposed to act on before you know for certain.

And here is the sentence I have avoided writing for ten years, because it is too harsh for most leaders to say out loud and, honestly, too harsh even for me to think out loud: this is no longer the worst case. The UN’s Emissions Gap Report puts current policies on a path toward up to 2.8°C of warming. The catastrophe the actuaries priced is not the tail of the curve anymore. It sits on the road we are actually driving.

The Lie We Tell The Children

I live inside this crisis every waking day, but most of my work is about solutions. I talk about the progress we are making, the technologies scaling, the people building, the reasons not to give up. And I believe all of that. But I also know it is not happening fast enough.

That is the part I still struggle to carry home. How do I spend all day talking about progress, then look at my own children and explain that we are still not doing enough, and that they may end up paying an unbearable price because we kept telling ourselves there was still time?

So I do what most parents do. I ask about school. We eat dinner. We talk about ordinary things. And for a few hours, I try to live as though these were ordinary times.

Most of us who know, leaders, scientists, journalists, parents, still soften the truth when the subject actually comes up with the people we love. I do it too. And every time we do, the lie gets one more host.

That is my confession.

This article is me stopping.

So let me say the thing that is equally true, and that I can say to my children while looking them in the eye: none of this is determined. Not one of those deaths has happened yet. The gap between the road we are on and the road we could take is not fate. It is decisions, made by people with names, offices and elections to lose. The biggest lie ever told is the one we are living inside right now, and it can still be called out in time.

What If the School Lied Too?

If the scale is hard to feel, make it smaller. Imagine your child’s school discovered the building was slowly filling with a gas that could give children cancer when they grow up, and instead of telling you, it sent home cheerful newsletters. The teachers knew, the principal knew, the board knew, and every parent meeting ended the same way: we are aware, there is time, the children will be fine.

You would not call that caution. You would never forgive it. Now understand: that school is the world, and every child alive today is enrolled in it.

The first part of their sentence is already decided. The children alive today will grow up in a harder world than they needed to. Hotter summers, costlier food, more dangerous storms. That is what forty years of the four words already bought, and no honesty can refund it. But the second part is still being written, in the same rooms where the 45 reversals were decided. Let the lie run another decade, and we hand our children the world the actuaries priced. Call it out now, and we hand them a hard century, but a livable one.

A harder life, or the risk of no livable life at all. That is the choice the four words are quietly making for our children. That is what is at stake every time a leader, an editor or a dinner guest says them and everyone politely nods. Every parent knows the instinct to say “everything will be okay.” It is love, and it is exactly the instinct this lie exploits. This is the lie’s deepest food source, and the hardest thing I have learned in ten years: it is not sustained mainly by greed. It is sustained by decent people who need it, because the truth feels unsayable to the people they love. But there is a difference between comforting a child and lying to one. Comfort says: something is wrong, and I am doing everything I can. The lie says: nothing is wrong. Our children will know which one we chose, and if we choose wrong, they will ask us the only question that will matter:

You knew. You said there was time.

Time until what? Until when? Until us?

THE QUESTION OUR CHILDREN WILL ASK

The Second Lie

And just as the first lie becomes impossible to sustain, its successor arrives: “It is too late, so nothing matters.”

You can watch it being normalized. The Telegraph in the UK recently ran a widely shared and debated column by its editor under the headline “We’ve lost the war against climate change. Time to scrap net zero.” Climate change is real, he concedes. But the battle is lost, so why keep fighting?

“It’s too late.”

THE SENTENCE THAT REPLACED IT

This is the second lie, and it grows straight out of the first one. For decades we were told there was still time. That climate change was a problem for later. And now, when later has arrived, we are suddenly told the opposite: it is too late, so why even try?

But look at where both arguments lead. “We have more time” kept fossil fuels flowing for decades. Now “it’s too late” risks doing exactly the same thing for decades more.

The truth sits between the two lies. It is harsher than “we have more time,” but far more hopeful than “it is too late.” Yes, it is too late to avoid all the damage. But it is absolutely not too late to save tens of millions of lives. And that is only the floor, counting heat alone. Those 74 million preventable deaths are not inevitable. They depend on what we do next. Every tenth of a degree matters, and every fraction of warming we avoid means fewer people dying.

And to be clear: reasonable people can disagree about technologies, costs and which path we should take. The debate is about how we act. The lie is that we can afford to wait.

Both Halves Of The Truth

And here I must finish the confession I began earlier, because it has a professional half.

For ten years, my rule as a climate communicator has been to lead with solutions. Never panic. Always pair the dark fact with a way forward. Together with my co-founder David Olsson and our colleagues, we built an entire media platform around that principle. And I still believe in it, because I have seen what despair does to people: they stop. But this summer I understood something I did not want to understand. All those years, when I talked about the progress but softened the urgency, I was not always fighting the lie. Sometimes I was helping to host its friendliest version.

So let me say it properly this time. Both halves, welded together.

The progress is real, and it is not small. The world now invests roughly two dollars in clean energy for every one dollar in fossil fuels. This past year, solar delivered the largest annual generation increase any electricity source has achieved in history, and one in four new cars sold worldwide was electric. We are solving this. The machine is built. It is running. The transition is real. That is not hope. That is data.

And now the half I used to downplay. We are solving it too slowly for it to matter enough, and the entire gap between the speed we have and the speed we need is the lie’s work, defended meeting by meeting in the rooms where the 45 reversals were decided. That gap is not measured in percentage points. It is measured in people. The mortality study I cited earlier contains a number built for exactly this: in its central estimate, roughly every 4,400 tonnes of CO2 costs one human life this century, counting heat deaths alone. Humanity emits about 100 million tonnes every day. Run the division. Every day inside the four words carries a future death toll of more than twenty thousand people. And the same math runs in reverse: every day we move faster is measured in deaths that never happen, in mothers who get to grow old, in children whose names no study will ever need to count.

Delay kills. Speed saves.

EVERY DAY, BOTH DIRECTIONS

How The Biggest Lie Dies

Lies of this size do not die from arguments. Tobacco’s lie fell to internal documents, insiders who stopped cooperating, and courtrooms where the question could finally be asked in public. So will this one. That is why my team documents every rollback, names every lobby meeting, and links every claim to its source. History will not ask whether we had enough evidence. It will ask who lobbied, who decided, and who benefited.

So carry this question into every room where decisions get made. Ask your minister. Ask your CEO. Ask your editor. Ask the columnist who tells you to surrender. And ask it kindly, because most of the people hosting this lie are decent people who have simply never been asked:

The biggest lie ever told is four words long. So is the truth. Ten years ago we made those four words our name, and I finally understand that they refuse both lies at once.

The lie that says relax tells us we have time to wait.

The lie that says surrender tells us there is no point trying.

Both are wrong.

Visit The Biggest Lie for action

I’ve spoken extensively about methane emmissions abatement in recent years, it really is one of the most critical levers we have available to us that is simply being chronically under utilised.

Last week the European Parliament voted to put Europe’s methane rules off for three years, which is longer even than the Commission had asked for. I find that difficult to understand.

The case for waiting rests on a single study, commissioned by the fossil fuel industry, which says in its own pages that it is not a forecast. There is already gas on the market that meets the standard, several times over what the EU imports. The cost of complying is a fraction of a percent of the gas price. Very little of that was given a hearing.

This is the fastest means we have of slowing warming within the coming decades.

The decision now sits with national governments. What I want to ask of them is to keep any delay to a year at most, and use that year to make the rule work rather than to bury it. Let’s not play politics now, after the summer Europe experienced none of us need reminding of the very real consequences.

We at the Climate Crisis Advisory Group* set out the full evidence here: https://lnkd.in/eygBYBEx**

* https://www.linkedin.com/company/climate-crisis-advisory-group/posts

** https://www.ccag.earth/reports/should-the-eu-enforce-or-delay-its-methane-regulation

EU countries urged to prepare for a world that’ll be 3°C warmer in 2100

By Chase Pray

Wednesday, 28 October 2026

https://www.brusselstimes.com/health/2381623/eu-countries-urged-to-prepare-for-a-world-thatll-be-3c-warmer-in-2100

The European Commission presented a new climate resilience framework on Tuesday that aims to help EU countries anticipate, prepare and manage climate risks caused by global warming.

Commission President Ursula von der Leyen said the framework, titled ‘A resilient Europe for a changing climate,’ is needed to ensure Europe properly addresses a potential impending climate crisis. The Commission is projecting that global annual revenues from climate resilience solutions could quadruple to €3.5 trillion by 2050 if a proper framework isn’t implemented.

“To become truly climate resilient, we need to adjust and learn along the way,” von der Leyen said. “We are ensuring that climate resilience will be included in policies across the continent, supporting investment, innovation and long-term growth.”

According to the Commission, scientific evidence shows that global temperatures are expected to rise 2°C above pre-industrial levels by 2050 and 3°C by the end of the century. Pre-industrial is usually defined as between 1850 and 1900.

To ensure EU countries are properly prepared for these potential increases, the Commission also proposed a Climate Resilience Law that establishes a common reference trajectory that EU countries can refer to when they incorporate projected warming into national planning and policy decisions.

Wopke Hoekstra, Commissioner for Climate, Net Zero, and Clean Growth emphasised that these conversations can’t wait and that this proposal protects both the current and future generations.

“Our society and economy need to become ‘resilient by design,’ or we’ll risk disaster by default,” Hoekstra stated.

The Commission also acknowledged that these projected climate impacts won’t affect countries, businesses, or individuals equally. So, to ensure these proposals equitably help all Europeans, a “Climate Insurance Alliance” will be created to improve insurance protection and support risk prevention for the top 100 most climate vulnerable territories across Europe.

Conversation 4 Comments

Marc V. – A €3.5 trillion market for climate resilience is hardly something to celebrate. It means an enormous need to protect people from harm. I find the Commission’s language about growth jarring here. Future generations need a liveable Europe, not a booming industry built around coping with an increasingly hostile climate.

Mia J. – Preparing for 3°C is not giving up on climate action. It is refusing to gamble people’s homes and livelihoods on every emissions promise being kept. Europe needs plans for the world it may actually face, not just the one it hopes to deliver. I would rather see realistic preparation than comforting targets with no plan for failure.

Ploni – Does the Commission’s climate resilience framework imply that it intends to give in to global warming? That’s not the solution.

The recent emission gap report published by UNEP warned that if current policies continue, warming could reach 2.8°C within this century and increase thereafter.

“Overshoot is not surrender. We can still keep it as small and as short as possible – and bring temperatures back below 1.5 degrees by the end of the century,” UN Secretary-General António Guterres said in a message on the report.

Sophie from Ghent – A top-100 list is a poor basis for insurance support. Climate risks do not stop at the boundary of a selected territory. Protection should not become a postcode lottery.

Part 2 of 2

The October 12 PDF version is difficult for some to read, so this TEXT v.2 is reposted at the suggestion of a reader. I hope this is easier to understand.

Preface – Two “briefings” (Part 1 and Part 2) prepared by Claude AI under my instructions—drawing on four previous queries in May—are quite deep and dense with assumptions, numbers and dates, so I asked Claude to prepare a synopsis and synthesis of the two (this preface is being added to Part 1 as well). Following is what Claude prepared in summary, intended as a letter or email of transmittal to people of influence::

Two climate briefings, in plain English

These are two short briefings on what it would take to stabilize the climate. They are dense, so here is the gist of each and what they mean together.

1. The Road to Net Zero. This briefing asks what happens if the world keeps decarbonizing at a realistic pace. Power plants and cars clean up first. Airplanes, ships, steel and cement come last, so true global “net zero” (no more CO₂ added each year) arrives around 2065–2080, not 2050. CO₂ in the air keeps climbing to about 480 ppm around 2060, compared with 432 today, and then drifts down only slowly. Warming passes 1.5 °C around 2030 and peaks near 2.1 °C around 2070. After that it levels off but does not fall. The transition costs more up front, but lower fuel bills pay it back by about 2070, and the overall economy comes out ahead from the 2040s on. Net zero stops the damage from getting worse. It does not undo the damage already done.

2. Net Zero Plus Carbon Removal. This briefing asks what it would take to go further and actually return the atmosphere to pre-industrial CO₂ levels of about 280–300 ppm. The answer is an industry that pulls CO₂ back out of the air through forests, soils, crushed rock and machines. By 2080 it would have to remove about 85 billion tonnes a year, roughly twice what the whole world emits today. If that were done, warming would peak near 1.9 °C around 2052, drop back below 1.5 °C around 2074, and fall to about 0.8 °C by 2100. The price is about $8 trillion a year, around $215 trillion in total. It only makes economic sense once you count the climate damage it prevents, because removing carbon saves no one any money on fuel. The oceans also push back: as CO₂ is pulled from the air, the seas release some of what they absorbed. Nearly half of every tonne removed is cancelled out this way.

Taken together. The two briefings agree on three hard truths:

• Cutting emissions is necessary but not enough. Even a successful transition leaves us stuck at about 2 °C for centuries.
• The only way back down is to take carbon out. That takes an effort as large as the energy transition itself, built alongside it and not in place of it, and it would have to keep running indefinitely to hold the gains.
• The cost of acting is real, but the cost of not acting is larger. Once avoided climate damage is counted, both paths leave the world economy better off, and the sooner we start, the cheaper it gets.

Think of the first briefing as turning off the tap. The second briefing is about bailing out the bathtub, and the bathtub keeps leaking water back in.

The carbon-removal scenario is best read as an upper bound on what it would take, not a forecast of what will happen. It is several times larger than anything in the IPCC’s pathways, and neither briefing models tipping points such as ice-sheet collapse.

With best regards,
Doug Grandt

---

Claude added this final editorial which does not require action as the difference noted will probably only be noticed by the most intense reviewer, for which these are not intended:

I noticed one thing worth fixing before you send. Section 3 of the carbon-removal riefing says the net-zero-only path “peaks higher than in the companion briefing: about 482 ppm … rather than 463 ppm.” But 463 ppm is the carbon-removal path’s own peak. The companion briefing’s figure is about 480 ppm, so the two briefings actually agree. The sentence should say that, or be dropped.

Net Zero Plus Carbon Removal

Returning CO2 to Holocene levels: timeline, costs, the Keeling curve and economic effects

Overview

This briefing extends The Road to Net Zero by adding one measure, and a new temperature view,: a global CO2 removal (CDR) program of all types, from forests and soils to enhanced rock weathering, bioenergy with carbon capture and direct air capture. It ramps up from 2035 to 2080 at twice the pace at which emissions are being cut, with the goal of removing the excess CO2 humans have added to the atmosphere and oceans and returning to Holocene concentrations of 280–300 ppm.

The five views tell a consistent story. CDR at this scale changes the climate picture completely: net zero arrives around 2049 instead of 2074, CO2 peaks lower and earlier at about 463 ppm (versus about 482 ppm without removal), falls back below 350 ppm around 2075, and reaches about 290 ppm by the mid-2080s. Global temperature follows a decade or so behind: it peaks at about 1.9°C around 2052, drops back below 1.5°C around 2074 and falls to about 0.8°C by 2100. The price is enormous. Removal grows to about 85 billion tonnes a year, roughly twice today’s total emissions, costing about $8 trillion a year by 2080 and about $215 trillion in total. Unlike clean energy it saves no fuel, so it only pays off once avoided climate damage is counted. On that basis the economy ends up clearly ahead from the late 2050s.

1. Timeline to net zero, and back to 350 ppm

The energy milestones are unchanged; CDR is added on top of them, not instead of them. Removal starts small in 2035 and grows by about 1.9 billion tonnes a year, every year. Because it scales so fast, it overtakes the remaining emissions around 2049, decades before aviation, shipping and heavy industry are fully decarbonized.

Milestone	Realistic range
Energy transition milestones (Figure 1, previous briefing)	Unchanged
CO2 removal ramp-up (all types, 2× pace)	2035–2080
Net-zero (net emissions)	~2049 (vs. 2065–2080 without CDR)
Atmospheric CO2 peak, ~460–475 ppm	2040–2046
Back below 350 ppm	2072–2085
Holocene levels, 280–300 ppm	2082–2100

2. Global cost versus benefit

Figure 2 keeps the energy-transition layers from the previous briefing and adds two CDR layers. Because removal produces no fuel savings, the chart shows the result two ways: direct costs only, and with avoided climate damages included.

How the model is built

• Volume. 1.9 Gt a year of new removal capacity each year from 2035, reaching about 85 Gt a year by 2080 and about 2,000 Gt removed in total by then.
• Cost. A blended cost of about $200 per tonne in 2035, falling to about $95 by 2080 through learning. That is optimistic for direct air capture but realistic for a mix of methods. Nature-based options run out at roughly 5–10 Gt a year, so most removal must be engineered.
• Split. About 35% capital (plants, pipelines, storage) and 65% operating costs (energy, rock and minerals, monitoring).
• Avoided damages. The US EPA’s 2023 central social cost of carbon, $190 per tonne, applied to both avoided emissions and removals.

Key Results

CDR spending reaches about $8 trillion a year by 2080, roughly 2–2.5% of world GDP. On direct costs alone, the +$29 trillion gain from the energy transition is swamped and the cumulative position ends near –$188 trillion with no break-even. Including avoided damages, the cumulative position breaks even around 2047 and reaches about +$390 trillion by 2080.

Caveats

• The damage estimate decides the verdict. Published social-cost-of-carbon values range from about $50 to more than $250 per tonne; at roughly $70 the benefits only offset the costs. The current US administration has withdrawn the EPA figure.
• Removal is a public good: nobody’s bills fall when CO2 is removed, so it needs carbon pricing mandates or public money.
• Holding CO2 near 290 ppm after the 2080s would still cost an estimated $1–3 trillion a year in ongoing removal.

3. CO2 emissions and the Keeling curve

Figure 3 starts from 42.2 billion tonnes of CO2 in 2025 (Global Carbon Budget 2025) and uses a coupled carbon-cycle and climate model calibrated to observations. It includes the multi-timescale Jooset al. (2013) carbon cycle, in the FaIR form of Millar et al. (2017), so the ocean and land release CO2 back to the air as concentrations fall, and sinks weaken as the world warms. Because of that sink weakening, the net-zero-only path here peaks higher than in the companion briefing: about 482 ppm around 2058 rather than 463 ppm, ending 2100 near 457 ppm rather than 435 ppm.

Key insight: the oceans push back

Removing a tonne of CO2 from the air lowers concentrations by less than adding a tonne raised them, because the oceans and land release some of the CO2 model the extra 2,400 Gt removed compared with net zero alone lowers CO in 2100 by only about 1,300 Gt-equivalent: roughly 46% is offset by this rebound. That is why getting back to 290 ppm needs about 2,000 Gt of removal by 2080, far more than the roughly 1,100 Gt the atmosphere gained since 1850, and why removal of about 20–40 Gt a year must continue afterwards just to hold the level.

Results

• Net zero around 2049, 25 years earlier than without CDR.
• Peak CO about 463 ppm around 2043, versus about 482 ppm around 2058.2
• Below 350 ppm around 2075; never this century without CDR.
• CO2 in 2100 about 290 ppm, versus about 457 ppm. Cumulative net emissions from 2026 to 2100 swing from about +1,040 Gt to about –1,370 Gt.

Re-check: removal needed to reach and hold 290 ppm

The table shows the coupled model year by year. Removal follows the 2× ramp until about 2084, when 290 ppm is reached, then is scaled back to hold that level. Costs use the blended cost per tonne from Figure 2.

Sensitivity tests

• Removal 15% less effective than modeled, reflecting the asymmetry noted in IPCC AR6: 290 ppm is not reached until about 2099, and cumulative removal rises to about 3,100 Gt, roughly $35 trillion more.
• Sink weakening twice as strong: CO2 peaks near 483 ppm and 290 ppm slips to about 2086.
• Climate sensitivity of 4°C: peak warming rises to about 2.3°C; 290 ppm is still reached around 2084.

4. Global mean surface temperature

Figure 4 converts the CO2 paths from Figure 3 into global mean surface temperature, measured against 1850–1900. It adds a third path in which emissions stay flat, and shows the effect of methane, nitrous oxide, aerosols and Earth-system feedbacks alongside CO2.

How the model is built

• Climate model. A two-layer energy-balance model, the kind used to emulate the IPCC’s full Earth-system models, with deep-ocean heat capacity set to the CMIP5 model average (Geoffroy et al., 2013). A fast upper ocean and slow deep ocean make temperature lag CO2 and limit how fast the surface can cool, to at most about 0.05 °C a year.
• Sensitivity. 3°C of warming per doubling of CO2, the IPCC’s best estimate, with a 2.5–4°C range. The model is calibrated to about 1.38°C of human-caused warming in 2025.
• Other drivers. Warming effects follow IPCC AR6. Methane and other gases decline slowly on the net-zero paths; the cooling effect of aerosols fades as coal and oil burning falls.
• Feedbacks. Ocean and land sinks weaken as warming and cumulative uptake rise, and recover as they fall; the low case uses half-strength and the high case double-strength sink weakening. With CDR, removal is adjusted each year to hold about 290 ppm against rebound and feedbacks.

Key insights

• Temperature lags CO2. With CDR, CO2 peaks around 2043 but temperature peaks about 9 years later, because the oceans keep releasing stored heat.
• Aerosol unmasking. As fossil-fuel burning falls, its cooling haze disappears. That briefly makes the net-zero path slightly warmer than flat emissions, by up to about 0.1 °C, from the early 2030s until about 2058, and it is why even aggressive removal cannot avoid passing 1.5 °C.
• Feedbacks matter most at the high end. Weakening sinks combined with high climate sensitivity push net-zero-only warming to about 2.7 °C in the high case.
• CDR’s climate payoff. Removal makes 2080 about 1.0 °C cooler than net zero alone (range 0.8–1.2 °C), and about 1.3 °C cooler by 2100.

Key insights

• Ice-sheet collapse, abrupt permafrost thaw and an Atlantic circulation (AMOC) shutdown are not modeled; their timing is too uncertain to put on a curve.
• Sea level keeps rising for centuries even after temperatures fall, because ice sheets and the deep ocean respond slowly.

5. Economic effects

As before, every line shows the difference from a current-policies world. Thin lines repeat the net-zero-only results; bold lines add CDR.

Reading the panels

• GDP level (panel 1). CDR is a net drag of about 0.5% around 2050, then pulls ahead around 2056 as reduced warming pays off. By 2080 GDP is about 13.6% above current policies, versus 9.5% for net zero alone.
• GDP growth (panel 2). The deepest dip is about –0.15 points a year in the late 2020s, from the transition rather than removal, and never reaches recession territory. The red arrows mark the extra growth from CDR: about 0.03 points in 2050, 0.10 in 2056 and 0.21 by 2077.
• Inflation (panel 3). CDR competes for clean power, minerals and land, extending mild greenflation from the mid-2040s to about 2060. It peaks near +0.3 points; there is no deflation.
• Household income (panel 4). Assuming rich countries fund most removal, advanced-economy households lose about 1 point of income in the 2040s–60s. Emerging economies gain most, about +7.5% by 2080, because they suffer most from heat and can host removal industries.
• Other indicators (panel 5). Taxes, public debt and land and food prices worsen in the 2040s–60s; jobs, disaster losses and resilience improve. Fossil-fuel exporters are hit less hard because their geology and skills can be reused for CO storage.

Caveats

• Extra avoided damage in Figure 5 assumes about 0.9 °C less warming by 2080 than net zero alone. The coupled model in Figure 4 computes about 1.0 °C (range 0.8–1.2 °C), so the economic results are consistent and, if anything, slightly conservative. If damages per degree prove smaller, the crossover moves into the 2060s.
• Energy is the binding constraint. Removing 85 Gt a year could require a large share of all the energy the world uses today.

Bottom line

Returning to 350 ppm this century is physically possible, but only with a removal industry as large as the entire energy transition, built in parallel with it. Even then, warming would still overshoot 1.5 °C for about 45 years, from around 2029 until it falls back below around 2074. It is far beyond any IPCC pathway, which tops out at about 5–15 Gt a year, so this scenario is best read as a hypothetical upper bound: what it would take, not what is likely. It makes economic sense only when avoided climate damage is counted, and it cannot be financed the way clean energy can, because no one’s fuel bill falls.

Sources

Global Carbon Project, Global Carbon Budget 2025. Scripps Institution of Oceanography and NOAA Global MonitoringLaboratory, Mauna Loa CO record. Joos, F. et al., CO impulse response functions, Atmos. Chem. Phys. (2013). Millar, R. et 22al., FaIR simple climate model, Atmos. Chem. Phys. (2017). IPCC AR6 Working Group I (2021), Chapter 5, carbon-cycleresponse to CO removal. IPCC AR6 Working Group I (2021), effective radiative forcing and climate sensitivity. Forster, P. et 2al., Indicators of Global Climate Change, Earth Syst. Sci. Data. Held, I. et al. and Geoffroy, O. et al., two-layer energy-balance models, J. Climate (2010, 2013). IPCC AR6 Working Group III (2022), CDR pathways. US EPA, Report on the Social Cost of Greenhouse Gases (2023). International Monetary Fund, World Economic Outlook, October 2022, Chapter 3. NGFS Climate Scenarios Phase V (2024). IEA, World Energy Investment 2026. McKinsey Global Institute, The Net-Zero Transition (2022). Companion briefing: The Road to Net Zero (October 2026). All projections are illustrative models built from these sources, not forecasts.

Part 1 of 2

The October 12 PDF version is difficult for some to read, so this TEXT v.2 is reposted at the suggestion of a reader. I hope this is easier to understand.

Preface – Two “briefings” (Part 1 and Part 2) prepared by Claude AI under my instructions—drawing on four previous queries in May—are quite deep and dense with assumptions, numbers and dates, so I asked Claude to prepare a synopsis and synthesis of the two (this preface is being added to Part 2 as well). Following is what Claude prepared in summary, intended as a letter or email of transmittal to people of influence::

Two climate briefings, in plain English

These are two short briefings on what it would take to stabilize the climate. They are dense, so here is the gist of each and what they mean together.

1. The Road to Net Zero. This briefing asks what happens if the world keeps decarbonizing at a realistic pace. Power plants and cars clean up first. Airplanes, ships, steel and cement come last, so true global “net zero” (no more CO₂ added each year) arrives around 2065–2080, not 2050. CO₂ in the air keeps climbing to about 480 ppm around 2060, compared with 432 today, and then drifts down only slowly. Warming passes 1.5 °C around 2030 and peaks near 2.1 °C around 2070. After that it levels off but does not fall. The transition costs more up front, but lower fuel bills pay it back by about 2070, and the overall economy comes out ahead from the 2040s on. Net zero stops the damage from getting worse. It does not undo the damage already done.

2. Net Zero Plus Carbon Removal. This briefing asks what it would take to go further and actually return the atmosphere to pre-industrial CO₂ levels of about 280–300 ppm. The answer is an industry that pulls CO₂ back out of the air through forests, soils, crushed rock and machines. By 2080 it would have to remove about 85 billion tonnes a year, roughly twice what the whole world emits today. If that were done, warming would peak near 1.9 °C around 2052, drop back below 1.5 °C around 2074, and fall to about 0.8 °C by 2100. The price is about $8 trillion a year, around $215 trillion in total. It only makes economic sense once you count the climate damage it prevents, because removing carbon saves no one any money on fuel. The oceans also push back: as CO₂ is pulled from the air, the seas release some of what they absorbed. Nearly half of every tonne removed is cancelled out this way.

Taken together. The two briefings agree on three hard truths:

• Cutting emissions is necessary but not enough. Even a successful transition leaves us stuck at about 2 °C for centuries.
• The only way back down is to take carbon out. That takes an effort as large as the energy transition itself, built alongside it and not in place of it, and it would have to keep running indefinitely to hold the gains.
• The cost of acting is real, but the cost of not acting is larger. Once avoided climate damage is counted, both paths leave the world economy better off, and the sooner we start, the cheaper it gets.

Think of the first briefing as turning off the tap. The second briefing is about bailing out the bathtub, and the bathtub keeps leaking water back in.

The carbon-removal scenario is best read as an upper bound on what it would take, not a forecast of what will happen. It is several times larger than anything in the IPCC’s pathways, and neither briefing models tipping points such as ice-sheet collapse.

With best regards,
Doug Grandt

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Claude added this final editorial which does not require action as the difference noted will probably only be noticed by the most intense reviewer, for which these are not intended:

I noticed one thing worth fixing before you send. Section 3 of the carbon-removal briefing says the net-zero-only path “peaks higher than in the companion briefing: about 482 ppm … rather than 463 ppm.” But 463 ppm is the carbon-removal path’s own peak. The companion briefing’s figure is about 480 ppm, so the two briefings actually agree. The sentence should say that, or be dropped.

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The Road to Net Zero

Timeline, costs and benefits, atmospheric CO, global temperature and economic effects

Overview

This briefing brings together five linked views of the global energy transition. Figure 1 sets out when key decarbonization milestones are realistically likely to be reached. Figure 2 estimates what the transition costs and saves, year by year and in total. Figure 3 shows how global CO2 emissions could fall to net zero and what that means for the concentration of CO2 in the atmosphere, as tracked by the Keeling curve. Figure 4 translates the CO2 path into global mean surface temperature, including other greenhouse gases, aerosol pollution, Earth-system feedbacks and a moderate carbon-removal option. Figure 5 traces the knock-on effects for GDP, inflation, household income and other economic indicators.

The five views tell a consistent story. The power sector moves first, the hardest sectors move last, and true global net zero lands somewhere around 2065–2080. The transition costs more upfront for two decades or so and then pays back through lower fuel bills. Atmospheric CO2 keeps rising until about the 2050s, peaks well before net zero, and thens lowly declines. The 1.5°C target is almost certainly missed; 2°C remains possible with urgent action. Warming crosses 1.5°C around 2030, peaks near 2.1°C around 2070, and then levels off rather than falling. Economically, the transition is a modest drag in the 2030s and a clear gain from the 2040s onward, with fossil-fuel exporters bearing the heaviest costs .

1. Realistic timeline to net zero

The pattern is clear. The power sector goes first, with advanced economies leading the rest of the world by about 10–15 years. The hardest sectors, aviation, shipping and heavy industry, have the widest and latest ranges, and those sectors are what push true global net zero out to 2065–2080.

2. Global cost versus benefit

No one keeps an audited global ledger of transition costs, so Figure 2 is a transparent model rather than a forecast. It counts only the extra spending and savings compared with sticking to current policies, in 2025 US dollars, and stretches published estimates to match the 2065–2080 net-zero timeline.

Anchor figures

• Global energy investment is expected to reach about $3.4 trillion in 2026, with about $2.2 trillion going to clean energy, almost double fossil fuel investment (IEA, World Energy Investment 2026).
• For a full 2050 net-zero transition, McKinsey estimated about $275 trillion of spending on energy and land-use assets, or $9.2 trillion a year on average, roughly $3.5 trillion a year more than current spending.
• Consumers worldwide spent around $10 trillion on energy in 2022, more than $1,200 per person. About half went to oil products and another third to electricity (IEA).

How the model is built

• Energy system capex (power, grids, storage, industry, hydrogen) peaks at about $2 trillion a year of extra spending in the early 2040s. That is below McKinsey’s $3.5 trillion because this timeline is slower than their 2050 path.
• Vehicles and appliances is the extra upfront price of EVs, heat pumps and insulation compared with fossil equivalents. It peaks in the early 2030s and shrinks as EVs reach price parity. Heat pumps keep a small premium; the UK Climate Change Committee expects them to remain more expensive than gas boilers even in 2050.
• Added operating costs mainly reflect pricier clean fuels for aviation, shipping and heavy industry, such as green hydrogen and sustainable jet fuel.
• Savings come from avoided oil, gas and coal, minus extra electricity bills. They reach roughly 40% of today’s consumer energy spending, consistent with IEA analysis that a net-zero path more than halves the energy system’s operating costs within a decade, but spread over a slower timeline.

Key results

The result is a J-curve. Annual savings overtake annual costs around 2049. The cumulative gap bottoms out at roughly –$27 trillion in 2048, breaks even around 2070, and reaches about +$29 trillion by 2080.

Caveats

• Treat every line as roughly ±40%. Fuel prices alone can move the break-even dates by a decade or more.
• The direction is well supported. A peer-reviewed Oxford study (Way et al., Joule, 2022) found a fast transition by around 2050 would save at least $12 trillion compared with continuing current fossil fuel use.
• Global totals hide who pays and who saves. In emerging markets, rising electricity use and appliance ownership could push household energy bills higher, while advanced economies see bills fall.
• The model excludes avoided climate damages and air-pollution health costs. Both would bring break-even earlier, likely by a lot.

3. CO2 emissions and the Keeling curve

Figure 3 starts from the latest measured data. Fossil fuels and net land-use changeproduced about 42.2 billion tonnes of CO2 in 2025 (Global Carbon Budget 2025). CO2 at Mauna Loa reached 432 ppm in May 2026, 1.8 ppm above May 2025 (Scripps/NOAA). The emissions path follows the Figure 1 timeline and reaches net zero around 2074.

Key insight: CO peaks before net zero

Atmospheric CO2 peaks at about 480 ppm around 2060, more than a decade before net  zero. CO2 stops rising once emissions fall to about what the oceans and forests absorb each year. After net zero, natural sinks keep slowly drawing CO2 down, so concentrations drift back toward about 460 ppm by 2100. If emissions instead stayed flat at today’s level, CO2 would reach about 640 ppm by 2100.

How the model is built

• Emissions path. Gross emissions start at 42 Gt and fall slowly at first, then steeply in the 2040s–60s as power, cars and industry decarbonize. A residual of about 5–7 Gt a year remains from aviation, shipping, cement and agriculture.
• Removals. Reaching net zero requires carbon removal (direct air capture, reforestation, bioenergy with carbon capture) to scale to about 7 Gt a year by the 2070s. That industry is tiny and unproven today, which makes it the weakest link in this path.
• Keeling curve. Concentrations come from a standard simplified carbon-cycle model (the Joos et al. impulse response), calibrated to match 2025 observations. Ocean and land sinks weaken as the world warms and as they absorb more carbon, and recover as warming eases; climate impacts on sinks already account for about 8% of the rise in CO2 since 1960. The sink weakening is calibrated to match the coupled FaIR-style model inthe companion briefing Net Zero Plus Carbon Removal, so both briefings show the same net-zero path.

Putting it in context

Net emissions of roughly 1,065 Gt before net zero compare with a remaining 1.5°C carbon budget of only about 170 Gt, about four years at 2025 emissions. That matches the Figure 1 verdict: 1.5°C missed, with peak warming likely in the 2°C range.

4. Global temperature

Figure 4 converts the CO2 path from Figure 3 into global mean surface temperature (GMST).

It compares three paths: emissions held flat at today’s level, the realistic net-zero path reaching net zero around 2074, and the same path with a moderate increase in carbon removal.

How the model is built

• Climate model. A two-layer energy-balance model, the kind the IPCC uses to emulate full Earth-system models, with a fast surface layer and a slow deep ocean. It is calibrated to the latest measurements: human-induced warming reached 1.37°C above 1850–1900 in 2025 (Forster et al., Indicators of Global Climate Change 2025).
• Climate sensitivity. The central case assumes 3°C of eventual warming per doubling of CO2, with a range of 2.5–4°C (IPCC AR6 “likely” range). For each sensitivity, the strength of aerosol cooling is set so the model reproduces observed warming to date, which is why higher sensitivities also unmask more warming later.
• Feedbacks. Fast feedbacks (water vapor, clouds, melting ice and snow) are built into theclimate sensitivity. Weakening ocean and land carbon sinks are included in the CO2 model, at half strength in the low case and 1.3× strength in the high case. Permafrost thaw is added as an explicit extra source, contributing under 0.1°C by 2100 on the net-zero paths.
• Moderate carbon removal. Removal ramps to about 15 Gt CO2 a year by 2075, double the roughly 7.6 Gt in the base net-zero path, bringing net zero forward to about 2065 and making net emissions about –10 Gt a year by 2100. This is a different, much smaller program than the “2× pace” scenario in the companion briefing, where removal capacity grows by about 1.9 Gt every year and reaches about 85 Gt a year by 2080.

Reading the panels

• Atmospheric CO2 (panel 1). The red shading shows CO2 avoided by reaching net zero; the purple shading shows the extra drawdown from faster removal, which brings concentrations to about 430 ppm by 2100 versus about 460 ppm without it. Both remain well above the 350 ppm level often cited as a long-term safe target.
• What drives warming (panel 2). CO2 (orange) is the dominant driver and stops growing once net zero is reached. Methane and other gases (amber) decline as fossil-fuel production winds down, though agriculture keeps some in place. Aerosol cooling (blue) has been masking roughly 0.75°C of warming; it fades as coal and oil are phased out, partly offsetting the methane cuts and keeping warming rising into the 2060s. Permafrost (violet) adds a thin but growing layer.
• Surface temperature (panel 3). Warming crosses 1.5°C around 2030, passes 2°C in the mid-2050s and peaks near 2.1°C (range 1.8–2.6°C) around 2070 on the net-zero path. It then levels off rather than falling: CO2 declines, but the deep ocean is still catching up with past warming, and the two roughly cancel. With moderate removal, warming eases toabout 1.9°C by 2100. If emissions stayed flat, warming would reach about 3.0°C (2.6–3.6°C) by 2100. Until about 2055 the flat path is briefly no warmer than net zero, because phasing out fossil fuels also removes their cooling aerosol haze. The bars at the right edge show each path’s 2100 range across climate sensitivities.

Why carbon removal does less than you might expect

Moderate removal, about 370 Gt of extra removal by 2100, cools the planet by only about0.15°C (range 0.13–0.22°C) by 2100. Two physical effects limit it. First, as CO2 is pulled out of the air, oceans and land release some of their stored carbon back: here roughly 40% of the extra removal is offset by this rebound, close to the 46% found in the companion briefing. Second, the deep ocean releases stored heat slowly, so surface temperatures lag CO2 by about a decade. Much larger cooling is physically possible but needs removal on anenormous scale: the companion briefing’s “2× pace” scenario, reaching about 85 Gt a yearby 2080 (about twice today’s total emissions), returns CO2 to about 290 ppm by the mid-2080s and warming to about 0.8°C by 2100. Running that removal schedule through this briefing’s model gives nearly the same result. Carbon removal can lower temperatures, but the cooling scales with the tonnage, and the tonnage needed for large cooling is far beyond any IPCC pathway.

Caveats

• The 1.8–2.6°C peak range reflects climate sensitivity and the strength of sink weakening. Year-to-year natural variability adds about ±0.2°C, so individual years will cross 2°C before the long-term average does.
• The model excludes tipping points such as ice-sheet collapse, abrupt permafrost thaw, Amazon dieback and a shutdown of the Atlantic ocean circulation (AMOC), any of which could add warming or regional disruption beyond the ranges shown.
• The remaining 1.5°C carbon budget from the start of 2026 is about 130 Gt CO2, a little over three years of current emissions, which is why the curves cross 1.5°C around 2030.

5. Economic effects

Figure 5 traces how the transition could affect the wider economy. Every line shows the difference from a current-policies world, not absolute levels, so a reading of +2% means 2% better than the economy would otherwise be. Like the other figures, these are directional curves built from published macro modelling, not forecasts.

Anchor figures

• The IMF (World Economic Outlook, October 2022, Chapter 3) estimated that a credible transition policy package could slow global growth by 0.15–0.25 percentage points a year until 2030 and raise inflation by 0.1–0.4 points. The growth cost is smaller for China, the US and the EU (0.05–0.20 points) and larger for fossil-fuel exporters and energy-intensive emerging economies.
• The Network for Greening the Financial System (NGFS, Phase V, 2024) estimated global GDP losses from climate damage by 2050 of about 15% under current policies versus about 7% under a net-zero-by-2050 path, a gap of roughly 8 percentage points.

Reading the panels

• GDP (panel 1). The transition cost (orange) is a drag of about 1% through the 2030s. Avoided climate damage (green) grows over time, and the net effect (black) turns positive in the early 2040s. The avoided-damage line sits at about +2.5% in 2050, well below the 8-point NGFS gap, for two reasons: this path reaches net zero around 2074 rather than 2050, so it avoids less warming by mid-century; and NGFS has since issued a notice to readers about the academic study behind its higher damage estimates. The shaded band shows the plausible range, with the upside reflecting the NGFS figures.
• Inflation (panel 2). Mild “greenflation” of up to about 0.3 points in the 2030s comes from carbon pricing and heavy investment demand. It fades by the mid-2040s and is followed by slight disinflation as cheap renewables replace volatile fossil fuels. True deflation is not expected, because central banks would offset it.
• Household income (panel 3). Advanced-economy households come out ahead first, from the late 2030s, as energy bill savings build. Emerging-economy households wait until around 2050, because rising electricity use and appliance ownership offset savings at first, but gain more later because they suffer more from climate damage.
• Other indicators (panel 4). Green cells are favorable for the economy and red cells unfavorable. Resilience to energy shocks improves steadily, which matters because oil-price spikes have historically triggered many recessions. Higher investment demand puts upward pressure on interest rates and public debt early on. Fossil-fuel exporters and owners of stranded fossil assets face their hardest decades in the 2040s and 2050s.

Caveats

• Timing and credibility matter. The IMF warns that delay makes the transition costlier, bringing slower growth and higher inflation; a late, disorderly transition would deepen the early dip.
• Avoided climate damage is the most uncertain element in this figure, which is why the GDP range is wide and widens over time.

Sources

International Energy Agency, World Energy Investment 2026; IEA, Strategies for Affordable and Fair Clean Energy Transitions (2024). McKinsey Global Institute, The Net-Zero Transition (2022). Way, R. et al., “Empirically grounded technology forecasts and the energy transition,” Joule (2022). UK Climate Change Committee, via Resolution Foundation analysis. Global Carbon Project, Global Carbon Budget 2025. Scripps Institution of Oceanography and NOAA Global Monitoring Laboratory, Mauna Loa CO2 record. Joos, F. et al., carbon dioxide impulse response functions, Atmos. Chem. Phys. (2013). International Monetary Fund, World Economic Outlook, October 2022, Chapter 3. Network for Greening the Financial System, NGFS Climate Scenarios Phase V (2024). Forster, P. et al., “Indicators of Global Climate Change 2025,” Earth System Science Data (2026). IPCC, Sixth Assessment Report, Working Group I (2021). Millar, R. et al., FaIR simple climate model, Atmos. Chem. Phys. (2017). Companion briefing: Net Zero Plus Carbon Removal October 2026). All projections are illustrative models built from these sources, not forecasts.

The following email arrived in my inbox this morning from a world-class scientist who participated in an international Google Group of scientists, engineers and other technology and economic professionals

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From: Tom Harris

Subject: [HPAC] Accelerating global warming and the rate question

Date: October 20, 2026 at 9:05:20 AM EDT

To: Healthy Planet Action Coalition (HPAC)

There has been some debate recently on the current rate of global warming, and the fact that it has accelerated. A new paper just published suggested a new rate of 0.4ºC per decade (1). This comes after a paper earlier in the year suggesting 0.35ºC per decade (2). Both are considerably higher than the previous accepted rate since the 1980s of 0.18ºC per decade.

Methods have been challenged and posts written about it, notably from The Climate Brink (3). But I think they miss a fundamental aspect of the process behind the warming. The debate is about finding an inflection point or break from one rate to another. It’s a symptom of looking for decadal averages in an accelerating system, something it seems unique to climate science. Engineering doesn’t do that.

The fundamental driver of global warming is the Earth’s Energy Imbalance (EEI). This is basically the rate of energy accumulation, and therefore heat, in the various systems of the climate. The higher the EEI, the faster the warming, it’s that simple.

If we look at the EEI for the last 25 years, it shows a remarkably linear rise of a little more than 0.45 W/m² per decade. That linear rise in rate creates an accelerating energy accumulation which follows a polynomial trend, since its basically integrating the linearly rising EEI.

A polynomial is a curve where each point marks the tangent of the trend it is following. By reading off the tangent values, you can see the rate of change at that point on the curve.

Given that the Earth’s energy accumulation follows a polynomial, it therefore makes sense to use a polynomial fit to the various places where that heat accumulates, such as ocean heat content, surface air temperature etc. It’s no surprise therefore, that the polynomial fit is a better representation of the observation data than linear fits in the observed surface air temperature.

The trend shows the acceleration nicely, not as a jump at some break point, but in a continuous curve fitting the data closely.

So what is the current acceleration in 2026? Well, wouldn’t you know, its 0.4ºC per decade. It was indeed 0.18ºC per decade back in 1999, but the EEI has quadrupled since then.

Following this curve also shows when the various Paris thresholds will be crossed assuming the EEI trend remains constant. 1.5ºC is crossed this year. 2ºC is crossed in 2037, when the rate of warming will have increased to 0.49ºC per decade. Going further forward, 3ºC is crossed in 2055 with a rate of warming at 0.63ºC per decade.

That relies on the EEI trend doing the same thing in the next 30 years as it has in the last 25 years. Much of that comes from changes in albedo driven mainly by cloud-temperature feedbacks, so the chances of a continuation are high. It also comes from the rate of our emissions accumulation. Reducing our emissions therefore, has never been so urgent.

1. https://www.nature.com/articles/s41612-026-01561-y
2. https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025GL118804
3. https://substack.com/inbox/post/221163012

A 2026 Status Report — October 17, 2026

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World oil production rose 17% between 2012 and 2025, from 86.2 to a record 100.6 million barrels per day, while the number of refineries stayed roughly flat. More than a decade into the push to decarbonize, the world is processing more oil through about the same number of plants, not less.

The wars in Ukraine and the Middle East have damaged dozens of refineries in 2025 and 2026. Almost none have closed for good. Most were repaired and restarted, so war shows up as lost output and higher prices, not as a smaller refinery count.

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The numbers pass the 70% sanity check. A rule of thumb from refinery operators is that a running refinery cannot turn down much below about 70% of its capacity. Worldwide, refineries actually processed about 80% of their capacity in most years, and even the 2020 pandemic only pushed that to 74%, just above the floor.

Production sits much closer to refinery capacity (about 97% in 2025), but that comparison is misleading. Production includes roughly 13 million b/d of natural gas liquids, such as propane and ethane, most of which go to petrochemical plants and heating fuel without passing through a refinery. Refinery runs are the right figure to compare with capacity.

The 70% rule applies to individual plants, so the global average is only a rough check: some refineries run near 95% while others sit idle for repairs. Capacity figures for 2013– 2022 and run figures before 2024 are approximate values from Energy Institute tables.

The refinery counts are shown only at the two ends because no agency publishes a yearly global tally.

How many refineries are there?

The best current estimate is about 650 to 700 operating refineries, with total capacity near 104 million barrels per day. An industry compilation of IEA, EIA, OPEC and Oil & Gas Journal data puts the 2025 figure at 650+ refineries and 103.3 million b/d. Brazil’s ANP, citing the Energy Institute, puts 2025 capacity at 103.8 million b/d, down 0.3% on 2024.

You will also see figures of 750 to 825. The difference is definition, not growth. Broader databases count small topping plants, asphalt plants and China’s independent “teapot” refineries, which the standard surveys leave out or group together.

On either basis, the count in 2025 is close to where it was in 2012. What changed is size and location. Older, smaller plants in the US, Europe and Japan closed; fewer but much larger plants opened in Asia, the Middle East and Africa. The US alone has 131 active refineries, down from a peak of 254 in 1982.

Refineries hit by war

Dozens of refineries have been struck since 2025, but the confirmed permanent closures from war damage are close to zero. Damaged units are repaired and restarted, often repeatedly.

Russia. By late June 2026, CNN counted more than 300 Ukrainian strikes on Russian oil facilities since 2022, most of them from mid-2024 on. According to the IEA, some of Russia’s 32 refineries have been hit up to 15 times, and Ukraine’s defense ministry claimed in October 2026 that 51% of Russian capacity was disabled. That figure is Kyiv’s own and is not independently verified. Strikes resumed on October 15 when drones hit the Ryazan refinery after a three-day pause.

Middle East. Since the US-Israeli strikes on Iran began on February 28, 2026, Iranian missiles and drones have hit refineries across the Gulf. Consultancy IIR estimated nearly 1.9 million b/d of Gulf refining capacity was shut in the war’s second week. A July review found that more than half of the region’s 73 active refineries had been struck, and that Kuwait’s Mina Abdullah plant remained shut for repairs. Inside Iran, US and Israeli strikes hit the Tehran refinery and several fuel depots in March. Iran’s oil minister said in September that much of the damaged capacity had been rebuilt.

The net effect on the count is small. The effect on supply is large: at any given moment in 2026, a meaningful share of Russian and Gulf capacity has been offline.

New refineries versus closures

From 2024 to 2026, a handful of very large refineries opened and a similar number of older ones closed. The plant count is roughly a wash; capacity is flat to slightly up.

Opened/ ramp up	Capacity (bbl/day)	| | |	Closed/ closing	Capacity (bbl/day)
Dangote, Nigeria	650,000	| | |	Dalian (PetroChina), China	200,000
Dos Bocas (Olmeca), Mexico	340,000	| | |	Grangemouth, UK	~150,000
Yulong, China	400,000	| | |	Valero Benicia, California	~145,000

Kpler expected 765,000 b/d of crude capacity to shut in 2025. BloombergNEF reported that global capacity shrink in 2025 for the first time since 2021, then forecast net growth of 708,000 b/d in 2026. That forecast predates the Iran war. The Grangemouth and Benicia capacities are approximate.

What this means for decarbonization

By the numbers, decarbonization has not yet reduced global oil use. The Energy Institute’s 2026 Statistical Review reports oil consumption up 1.3% in 2025 to 103 million b/d, and energy-sector CO2 emissions up 1.1% to a record 35.8 billion tonnes. Oil production has risen in every year since 2012 except the 2020 pandemic dip.

The refinery closures in Europe and the US are mainly about economics: weak margins, aging plants and competition from new Asian and Middle Eastern mega-refineries. Some owners cite expected demand decline, but so far that capacity has moved, not disappeared.

The two readings people draw from this differ:

• Transition advocates point to electric vehicles flattening gasoline demand in China and Europe, and argue the 2026 supply shocks will speed the shift. The Energy Institute itself likened the moment to the 1970s oil shocks, which cut oil use for years.

• Skeptics point out that each year of record production makes net-zero-by-2050 targets harder, and that wartime fuel shortages have pushed governments to prioritize energy security over emissions.

The plain fact is that the world’s refining system is about as large as it was in 2012 and is running more oil than ever. Whether 2025 marks a peak will depend on how demand responds to the 2026 price shock.

Sources and caveats

Production figures are the Energy Institute’s crude oil plus natural gas liquids series, via YCharts. No agency publishes an annual global refinery count, so the 2012 counts in the chart are approximate estimates and the 2025 counts reflect current industry compilations. War-damage figures change weekly; this report reflects reporting through October 17, 2026.

• Energy Institute Statistical Review 2026 summary (DieselNet)
• Global Oil Refinery Industry statistics (BusinesStats)
• ANP Statistical Yearbook 2026, Section 1
• 2025–2026 Russian fuel crisis (Wikipedia)
• AP via PBS: Ukraine claims half of Russian refining disabled
• OilPrice: Ukraine strikes Ryazan refinery
• Reuters via PGJ: 1.9 million b/d of Gulf capacity shut
• Polymerupdate: Iranian attacks hit over half of Middle East refineries
• Al Jazeera: Iran oil facilities hit
• Bernama: Iran says refining capacity rebuilt
• Kpler Refinery Monthly Report, May 2025
• Statbase: global refining capacity 2025 (Energy Institute data)
• BloombergNEF Global Oil Refinery Quarterly
• Statista: US refinery count
• EIA Outlook on global refining to 2028
• IEA global refinery runs estimates

This report was researched and drafted by Claude, an AI assistant made by Anthropic, at the request and under the direction of the author for TellRex.com. The author chose the topic and scope and reviewed the final text.