Artificial Intelligence is not only responsible for worrying amounts of earth-warming greenhouse gases: the technology's environmental footprint is also expanding at a pace that could strain the planet’s natural resources.

Don’t panic about AI data centres and water – it’s energy we should worry about

According to a United Nations University report, the environmental footprint of data centers already rivals some of the world’s largest countries.

AI infrastructure could produce as much carbon emissions as the whole of the UK by the end of this decade, report warns

AI data centres are energy-hungry and resource-intensive, requiring huge amounts of electricity generation, cooling systems, land and water supplies

A new U.N. report warns AI’s environmental cost is often mismeasured.

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A United Nations report has highlighted the vast and growing demand that artificial intelligence is placing on the world.

La expansión de la IA depende de una infraestructura física cada vez más demandante en recursos naturales, cuyos efectos ambientales podrían agravarse

As AI models become cheaper and more attractive, they will likely encourage new uses and higher volumes of use – erasing any efficiency gains.

"That extra ‘please’ you put there can make a huge difference,” says one of the report's authors.

AI could soon generate electronic waste equivalent to throwing out 250 Eiffel Towers every year

L’intelligenza artificiale non consuma solo elettricità. Consuma acqua, suolo, minerali critici e produce rifiuti elettronici. Quanti? È la domanda cui punta a rispondere il nuovo…

UN researchers warn that AI will double data centre power and water consumption by 2030, straining environmental resources.

AI's rapid growth is driving major water, energy, land and e-waste impacts, raising environmental justice concerns worldwide

Artificial Intelligence is not only responsible for worrying amounts of earth-warming greenhouse gases: the technology's environmental footprint is also expanding at a pace that…

UN report warns AI could sharply raise global energy, water and carbon use by 2030, driven by rising demand and Jevons paradox effects.

One argument often used to quell concerns about the rising energy and resource demand of data centers is that artificial intelligence (AI) models will need less in the future as…