UK Vastly Underestimated AI Datacentre Carbon Emissions, New Data Shows
UK Underestimated AI Carbon Emissions by Factor of 100

The UK government vastly underestimated the climate impact of artificial intelligence, it has emerged, after officials raised their estimate of carbon emissions from AI by a factor of more than 100.

Revised Figures Raise Climate Concerns

According to new data quietly published this week, energy use by AI datacentres in the UK could cause the emission of up to 123 million tonnes of carbon dioxide (CO2) over the next 10 years. That is roughly equivalent to the emissions generated by 2.7 million people. The latest figure replaces a previous estimate, since deleted, that claimed emissions would reach a maximum of 0.142 million tonnes of CO2 in a single year.

There is increasing alarm at the carbon impact of AI, with calls to reduce global emissions to mitigate the climate emergency becoming increasingly urgent. Patrick Galey, head of investigations for the Global Witness climate campaign, said: "We have a handful of years until our carbon budget is exhausted. To waste what little bandwidth we have left – when 750 million people worldwide lack access to electricity – assisting some of the richest men ever to hone their plagiarism bots would be a historic idiocy that future generations are unlikely to forgive today’s leaders for."

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Government's AI Ambitions Clash with Climate Goals

The latest estimates were revealed in a revision to the UK "compute roadmap," which sets out the government's plan "to build a world-class compute ecosystem" for delivering artificial intelligence in the UK – a goal on which the government has staked its hopes for economic growth. However, AI datacentres require huge amounts of electricity to operate, much more than traditional datacentres used for storing online data, and most of that electricity continues to be generated by fossil fuels.

According to the Department for Science, Innovation and Technology's (DSIT) latest estimates, the carbon impact of the planned AI buildout could range from 34 million to 123 million tonnes of CO2, representing about 0.9% to 3.4% of the UK's projected total emissions between 2025 and 2035. The lower end of the estimate would depend on greater efficiency in AI models and hardware, as well as faster decarbonisation of the UK's energy grid.

Watchdog Investigation Reveals Underestimate

Officials from DSIT appear to have made the revision after an investigation by Foxglove, an independent watchdog, and the Carbon Brief news site revealed that previous estimates were a significant underestimate. Tim Squirrell, head of strategy at Foxglove, said: "The government has a legally binding commitment to reach net zero by 2050. This already sat awkwardly alongside its hell-for-leather embrace of a hyperscale AI datacentre buildout, which unchecked could double the electricity consumption of the entire country. The situation has now been revealed to be much, much worse, given the fact the government doesn’t seem to have done even the most basic arithmetic needed to measure the potential new carbon emissions of these datacentres."

The government declined to comment on the record.

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