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The AI boom has caused as much carbon dioxide to be released into the atmosphere in 2025 as emitted by the whole of New York City, it has been claimed.
The global environmental impact of the rapidly spreading technology has been estimated in research published on Wednesdaywhich also found that AI-related water use now exceeds the entirety of global bottled-water demand.
The figures have been compiled by the Dutch academic Alex de Vries-Gao, the founder of Digiconomist, a company that researches the unintended consequences of digital trends. He claimed they are the first attempt to measure the specific effect of artificial intelligence rather than datacentres in general as the use of chatbots such as OpenAI’s ChatGPT and Google’s Gemini soared in 2025.
The figures show the estimated greenhouse gas emissions from AI use are also now equivalent to more than 8% of global aviation emissions. His study used technology companies’ own reporting and he called for stricter requirements for them to be more transparent about their climate impact.
“The environmental cost of this is pretty huge in absolute terms,” he said. “At the moment society is paying for these costs, not the tech companies. The question is: is that fair? If they are reaping the benefits of this technology, why should they not be paying some of the costs?”
De Vries-Gao found that the 2025 carbon footprint of AI systems could be as high as 80m tonnes, while the water used could reach 765bn litres. He said it was the first time AI’s water impact had been estimated and showed that AI water use alone was more than a third higher than previous estimates of all datacentre water use.
The figures are published in the academic journal Patterns. The International Energy Agency (IEA) said earlier this year that AI-focused datacentres draw as much electricity as power-thirsty aluminium smelters and datacentre electricity consumption is expected to more than double by 2030.
“This is yet more evidence that the public is footing the environmental bill for some of the richest companies on Earth,” said Donald Campbell, the director of advocacy at Foxglove, a UK non-profit that campaigns for fairness in tech. “Worse, it is likely just the tip of the iceberg. The datacentre construction frenzy, driven by generative AI, is only getting started.
“Just one of these new ‘hyperscale’ facilities can generate climate emissions equivalent to several international airports. And in the UK alone, there are an estimated 100-200 of them in the planning system,” said Campbell.
The IEA has reported that the largest AI-focused datacentres being built today will each consume as much electricity as 2m households with the US accounting for the largest share of datacentre electricity consumption (45%) followed by China (25%) and Europe (15%).
The largest datacentre being planned in the UK, at a former coal power station site in Blyth, Northumberland, is expected to emit more than 180,000 tonnes of CO2 a year when at full operation – the equivalent to the amount produced by more than 24,000 homes.
In India, where $30bn (£22.5bn) is being invested in datacentres, there are growing concerns that a lack of reliability from the National Grid will mean the construction of huge diesel generator farms for backup power, which the consultancy KPMG this week called “a massive … carbon liability”.
Technology companies’ environmental disclosures are often insufficient to assess even the total datacentre impact, never mind isolating AI use, said De Vries-Gao. He noted that when Google recently reported on the impact of its Gemini AI, it did not account for the water used in generating the electricity needed to power it.
Google reported that in 2024 it managed to reduce energy emissions from its datacentres by 12% due to new clean energy sources, but it said this summer that achieving its climate goals was “now more complex and challenging across every level – from local to global” and “a key challenge is the slower-than-needed deployment of carbon-free energy technologies at scale”.
Google was approached for comment.
