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The report’s central finding is that AI’s environmental costs depend not only on how much electricity is used, but also on where that electricity is generated and which energy sources power it. It frames AI’s environmental footprint as a governance and justice challenge. unu.edu/inweh/collec...
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The Environmental Cost of Artificial Intelligence: Carbon, Water, and Land Footprints
unu.edu
Rosamunde Van Brakel
AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.