David Sathuluri is a Research Associate and Dr. Marco Tedesco is a Lamont Research Professor at the Lamont-Doherty Earth Observatory of Columbia University.
As climate scientists warn that we are approaching irreversible tipping points in the Earth’s climate system, paradoxically the very technologies being deployed to detect these tipping points – often based on AI – are exacerbating the problem, via acceleration of the associated energy consumption.
The UK’s much-celebrated £81-million ($109-million) Forecasting Tipping Points programme involving 27 teams, led by the Advanced Research + Invention Agency (ARIA), represents a contemporary faith in technological salvation – yet it embodies a profound contradiction. The ARIA programme explicitly aims to “harness the laws of physics and artificial intelligence to pick up subtle early warning signs of tipping” through advanced modelling.
We are deploying massive computational infrastructure to warn us of climate collapse while these same systems consume the energy and water resources needed to prevent or mitigate it. We are simultaneously investing in computationally intensive AI systems to monitor whether we will cross irreversible climate tipping points, even as these same AI systems could fuel that transition.
The computational cost of monitoring
Training a single large language model like GPT-3 consumed approximately 1,287 megawatt-hours of electricity, resulting in 552 metric tons of carbon dioxide – equivalent to driving 123 gasoline-powered cars for a year, according to a recent study.
GPT-4 required roughly 50 times more electricity. As the computational power needed for AI continues to double approximately every 100 days, the energy footprint of these systems is not static but is exponentially accelerating.
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And the environmental consequences of AI models extend far beyond electricity usage. Besides massive amounts of electricity (much of which is still fossil-fuel-based), such systems require advanced cooling that consumes enormous quantities of water, and sophisticated infrastructure that must be manufactured, transported, and deployed globally.
The water-energy nexus in climate-vulnerable regions
A single data center can consume up to 5 million gallons of drinking water per day – sufficient to supply thousands of households or farms. In the Phoenix area of the US alone, more than 58 data centers consume an estimated 170 million gallons of drinking water daily for cooling.
The geographical distribution of this infrastructure matters profoundly as data centers requiring high rates of mechanical cooling are disproportionately located in water-stressed and socioeconomically vulnerable regions, particularly in Asia-Pacific and Africa.
At the same time, we are deploying AI-intensive early warning systems to monitor climate tipping points in regions like Greenland, the Arctic, and the Atlantic circulation system – regions already experiencing catastrophic climate impacts. They represent thresholds that, once crossed, could trigger irreversible changes within decades, scientists have warned.
Yet computational models and AI-driven early warning systems operate according to different temporal logics. They promise to provide warnings that enable future action, but they consume energy – and therefore contribute to emissions – in the present.
This is not merely a technical problem to be solved with renewable energy deployment; it reflects a fundamental misalignment between the urgency of climate tipping points and the gradualist assumptions embedded in technological solutions.
The carbon budget concept reveals that there is a cumulative effect on how emissions impact on temperature rise, with significant lags between atmospheric concentration and temperature impact. Every megawatt-hour consumed by AI systems training on climate models today directly reduces the available carbon budget for tomorrow – including the carbon budget available for the energy transition itself.
The governance void
The deeper issue is that governance frameworks for AI development have completely decoupled from carbon budgets and tipping point timescales. UK AI regulation focuses on how much computing power AI systems use, but it does not require developers to ask: is this AI’s carbon footprint small enough to fit within our carbon budget for preventing climate tipping points?
There is no mechanism requiring that AI infrastructure deployment decisions account for the specific carbon budgets associated with preventing different categories of tipping points.
Meanwhile, the energy transition itself – renewable capacity expansion, grid modernization, electrification of transport – requires computation and data management. If we allow unconstrained AI expansion, we risk the perverse outcome in which computing infrastructure consumes the surplus renewable energy that could otherwise accelerate decarbonization, rather than enabling it.
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What would it mean to resolve the paradox?
Resolving this paradox requires, for example, moving beyond the assumption that technological solutions can be determined in isolation from carbon constraints. It demands several interventions:
First, any AI-driven climate monitoring system must operate within an explicitly defined carbon budget that directly reflects the tipping-point timescale it aims to detect. If we are attempting to provide warnings about tipping points that could be triggered within 10-20 years, the AI system’s carbon footprint must be evaluated against a corresponding carbon budget for that period.
Second, governance frameworks for AI development must explicitly incorporate climate-tipping point science, establishing threshold restrictions on computational intensity in relation to carbon budgets and renewable energy availability. This is not primarily a “sustainability” question; it is a justice and efficacy question.
Third, alternative models must be prioritized over the current trajectory toward ever-larger models. These should include approaches that integrate human expertise with AI in time-sensitive scenarios, carbon-aware model training, and using specialized processors matched to specific computational tasks rather than relying on universal energy-intensive systems.
The deeper critique
The fundamental issue is that the energy-system tipping point paradox reflects a broader crisis in how wealthy nations approach climate governance. We have faith that innovation and science can solve fundamental contradictions, rather than confronting the structural need to constrain certain forms of energy consumption and wealth accumulation. We would rather invest £81 million in computational systems to detect tipping points than make the political decisions required to prevent them.
The positive tipping point for energy transition exists – renewable energy is now cheaper than fossil fuels, and deployment rates are accelerating. What we lack is not technological capacity but political will to rapidly decarbonize, as well as community participation.
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Deploying energy-intensive AI systems to monitor tipping points while simultaneously failing to deploy available renewable energy represents a kind of technological distraction from the actual political choices required.
The paradox is thus also a warning: in the time remaining before irreversible tipping points are triggered, we must choose between building ever-more sophisticated systems to monitor climate collapse or deploying available resources – capital, energy, expertise, political attention – toward allaying the threat.
The post Using energy-hungry AI to detect climate tipping points is a paradox appeared first on Climate Home News.
Using energy-hungry AI to detect climate tipping points is a paradox
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Go behind the scenes with managing editor Jamie Smith Hopkins and reporter Kiley Bense as they discuss how Pennsylvania is failing to track toxic oil and gas waste, while the amount sitting in landfills grows every year.
Pennsylvania is ground zero for the fracking boom. It’s increased natural gas production there 37-fold since 2008. That production generates a lot of waste, but the state’s ability to track it has failed to keep up.
At Climate Home News, we found this year a pretty depressing one to cover, shaped as it was by Donald Trump’s attacks on climate science and action at home and abroad – and rounded off by the UN declaring global warming will break through the key 1.5C limit the world set itself in 2015.
But it wasn’t all bad. Nobody had decided to follow the US out of the Paris Agreement by the time it turned 10 this month. Anti-climate candidates in Canada and Australia, backed by Trump, lost elections convincingly. And 2025 may also have been the year carbon dioxide emissions fell for the first time.
What’s more, our reporting this year saw results in the real world. After we revealed that Chilean doctors believe pollution from copper mines in the northern hub of Calama is causing autism, campaigners sued state-owned mining company Codelco. The case is ongoing.
One of the lawyers representing the campaigners said “when [Climate Home News] revealed our silent suffering and our fight, we felt we had finally been heard and had entered the national conversation thanks to international media coverage. That was the final push to file the lawsuit.”
If you want to fund more impactful reporting like this in 2026, please subscribe and unlock all of our content for just the price of a coffee per week. Or to keep up with our latest coverage, you can sign up for our free newsletter and follow us on LinkedIn, Instagram, BlueSky and Facebook.
Below are nine of our best stories this year and, if that’s not enough, here’s nine more from 2024.
1. Solar squeeze: US tariffs threaten panel production and jobs in Thailand
In the year of trade wars, Trump extended Biden-era tariffs on solar panels from China to neighbouring countries. Nicha Wachpanich spoke to some of those workers who subsequently lost their jobs making panels at Chinese-run factories in Thailand and found that the US levies and bad behaviour by bosses had combined to crush their dreams of a better life.
2. Business-as-usual: Donors pour climate adaptation finance into big infrastructure, neglecting local needs
Trump being Trump, and axing US climate finance, is no reason to let other wealthy donor nations off the hook. We examined the latest spreadsheets for annual adaptation aid and found Japan is counting support for massive infrastructure projects in its figures, despite them having only a dubious role in helping people adapt to climate change.
Our reporter Tanbirul Miraj Ripon visited one such project – the Matarbari port in Bangladesh. He found that the port handles coal and gas imports and has destroyed locals’ homes and livelihoods. Despite this, on paper it represents $363 million in Japanese climate adaptation finance, the biggest single climate resilience project being funded by a wealthy country in 2023.
3. Ethiopia’s bold EV ambitions hit bumps in rural areas
Other nations are trying hard to go green but finding it tricky. This year, Ethiopia hosted the Africa Climate Summit, was selected as the host of COP32 and opened the continent’s biggest hydropower dam.
It plans to use some of this clean power to charge electric vehicles, after banning imports of cars with internal combustion engines (even as the European Union is softening its own 2035 ban on ICEs). While that will reduce Ethiopia’s already tiny emissions and its fossil fuel import bills, it won’t be easy in a nation where only half the population has electricity access, as Solomon Yimer and Vivian Chime reported.
4. Ending poverty and gangs: How Zambia seeks to cash in on the global drive for EVs
Other African governments are trying to cash in on their minerals, which big players like China, the US and increasingly Saudi Arabia want for green technologies and/or making equipment for wars.
Pamela Kapekele went to look at the situation in Zambia’s Copperbelt province – where you can probably guess what they produce! She found that good tax regulations and working conditions will be needed if locals are to see the benefits of surging demand for the metal.
Later in the year, an acid spill from a copper-mine tailings dam that contaminated the country’s main river showed the value of environmental regulation too. Reporting from Nigeria’s lithium and South Africa’s platinum mines also highlighted the challenges of making minerals mining and processing cleaner and fairer for communities.
5. Is the world’s big idea for greener air travel a flight of fancy?
Some sectors – like international aviation and shipping – tend to fall outside the scope of national media, and it’s a gap we’ve aimed to fill. Together with Singapore’s Straits Times, we tracked the supply chain for what the airline industry calls “Sustainable Aviation Fuel” (SAF) and found that virgin and barely used palm oil – which threatens rainforests – is being passed off as waste cooking oil and used to power planes in Europe.
Malaysia is a particular hotspot for this fraud, as government subsidies there make virgin palm oil cheap in the shops – and it can be sold for a higher price as “used” cooking oil, providing a profit motive for flipping it. Our investigation was picked up by the Financial Times, Bloomberg and the Malaysian authorities, who have since launched a crackdown on this kind of fraud.
But with verification of the materials used for SAF relying on just a handful of commercial auditors conducting mainly paper-based checks, airlines currently cannot know for sure if their green jet fuel is actually sustainable. Their advertising to passengers should – but often doesn’t – reflect this uncertainty.
6. Brazil’s environment minister suggests roadmap to end fossil fuels at COP30
Our reporting was often prescient this year. We called it correctly that the US would leave the Paris Agreement but not the UNFCCC, that Argentina would not follow America out of Paris, that Ethiopia rather than Nigeria would be chosen as COP32 host and that petrostates would try to kill a new green shipping framework at the International Maritime Organization.
We are also pretty sure we were the first – at least in English – to pick up on Brazilian Environment Minister Marina Silva’s proposal for COP30 to agree on a roadmap away from fossil fuels, which she aired back in June at London Climate Week. That proposal was pushed by President Lula at the start of COP30, dominated much of the conversation at the summit and will continue to be discussed throughout 2026.
8. PR firm working for Shell wins COP30 media contract
In the summer of 2025, our crack investigative reporter Matteo Civillini got the scoop on how the Brazilian government, via a contract tendered by the UN, was working with Edelman on international media relations for the COP30 climate summit while the global PR giant was simultaneously engaged in promoting Shell’s fossil fuel interests in Brazil.
This story was picked up by a range of other media, and amplified calls for agencies whose clients include fossil fuel firms to be excluded from the climate negotiations. Advocacy group Clean Creatives was inspired by Matteo’s reporting to launch a campaign against Edelman’s COP involvement. That culminated in an open letter from influencers and creators with a combined audience of over 24 million calling for Edelman to be dropped. The drumbeat on this theme is likely to get louder in 2026.
8. “House of cards”: Verra used junk carbon credits to fix Shell’s offsetting scandal
And talking of smoke and mirrors, just when we thought the murky web of carbon offsetting linking oil and gas major Shell to sham rice-farming projects in China couldn’t get any more convoluted, it did exactly that.
By combing through the records of carbon-credit registry Verra – the world’s biggest – Matteo confirmed that nearly a million bogus offsets from 10 disqualified methane reduction projects had been compensated for with the same number of junk credits from another four such projects that were also axed by Verra.
“It’s frankly unbelievable that Verra considers it appropriate to compensate for hot air credits with other hot air credits,” Jonathan Crook, policy lead at Carbon Market Watch, told us. “To pretend this is a satisfactory resolution is both absurd and deeply alarming.”
Verra insists the replacement credits were technically available to plug the gap left by the first batch – even though the second set, too, now need to be swapped out. Shell is keeping its distance, saying it does not manage or operate “the projects in question” despite being earlier involved in the Chinese rice-farming programmes as their “authorised representative”. Mind-boggling indeed!
9. Self-taught mechanics give second life to Jordan’s glut of spent EV batteries
In what was on balance a bad year, we brought you some hope too. A landmark advisory opinion on climate change and human rights from the International Court of Justice in The Hague was stronger than anyone imagined and may open the door to lawsuits against polluting countries and companies in 2026.
Other good news stories included analysts suggesting China’s fossil fuel use could peak this year, the UN’s loss and damage fund launching its first call for proposals, South Korea and Morocco moving to phase out coal and a boom in imports of solar panels to Africa.
Hope came too from ordinary people and their ingenuity – like the untrained Jordanians interviewed by Yamuna Matheswaran, hooking up solar panels to old Tesla batteries, lowering both their electricity bills and their carbon emissions into the bargain.
The post Nine of our best climate stories from 2025 appeared first on Climate Home News.
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