UN Report Warns Rapid AI Growth Threatens Global Energy and Water Security

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By 2030, AI could consume 3% of global electricity, doubling current usage levels.

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Cooling requirements for AI data centers could deplete massive volumes of global drinking water.

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The Jevons paradox suggests that efficiency gains will likely increase overall AI resource consumption.

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Current AI infrastructure is heavily concentrated in the US and China, causing global structural inequality.

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