UN report warns AI could consume 3% of global electricity and vast water resources by 2030
By
Amanda Turnbull-McRae
Hot, fresh, and worth queueing round the block for.
Summary
A UN report warns that AI's environmental costs are rising sharply, estimating that by 2030 AI could consume 3% of global electricity, produce emissions equivalent to the UK's total, and use more water for cooling than the global population's annual drinking water needs. The report cautions that efficiency improvements in AI models will likely be offset by increased usage, as cheaper AI encourages higher adoption and volume.
Key quotes
· 4 pulledOne argument often used to quell concerns about the rising energy and resource demand of data centres is that artificial intelligence (AI) models will need less in the future as they improve and become more efficient.
But this seemingly logical thinking is a trap, according to a new United Nations report that quantifies the environmental costs of AI.
The report estimates that by 2030, AI's energy use could double to consume 3% of the world's electricity, produce emissions to equal the UK and deplete more water for cooling than the annual drinking water need of the global population.
As AI models become cheaper and more attractive, they will likely encourage new uses and higher volumes of use – erasing any efficiency gains.
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