Ministers consulted businesses on AI datacentres, but no environmental groups

The Guardian ·

An investigation found that UK ministers and senior civil servants developing plans to expand AI datacentres met 137 businesses but no environmental organisations. The findings raise questions about whose interests shaped the policy and whether communities were consulted on the potential environmental effects.

The nonprofit Spotlight on Corruption reviewed government records covering July 2024 to June 2026, using 40 freedom of information requests to 18 agencies. Officials met two community groups, while 38 people involved in government AI work took jobs in AI companies between July 2024 and September 2026. The plans proposed large datacentres across five regions, but the article says energy needs, environmental costs and job projections have been questioned.

In short

  • Officials met 137 businesses and no environmental groups on datacentre policy.
  • They met just two community groups.
  • The plans’ energy and job claims face scrutiny.

Explained simply

AI datacentres are large facilities that house the computers used to train and run artificial intelligence systems. They need substantial amounts of electricity and cooling, so building more of them can affect local infrastructure and the environment.

UK plans to expand these facilities involve ministers, civil servants, technology companies and communities near proposed sites. Businesses may bring expertise and investment, while residents and environmental organisations can raise concerns about land, energy use and other local effects.

The choices matter because they can shape where datacentres are built, how their costs and benefits are assessed, and who has a say in those decisions. Questions about energy demand, environmental impacts and expected jobs are part of that debate.

AI Business Environment Government Politics Science Technology UK World

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Originally published by The Guardian as “UK government met 137 businesses over AI datacentres – but no environmental groups”.

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