AI data centers projected to strain US energy and water resources by 2030
PHYS.org
Cornell researchers have used advanced data analytics—and, naturally, some AI, too—to create a state-by-state look at that environmental impact.
The team found that, by 2030, the current rate of AI growth would annually put 24 to 44 million metric tons of carbon dioxide into the atmosphere, the emissions equivalent of adding 5 to 10 million cars to U.S. roadways.
It would also drain 731 to 1,125 million cubic meters of water per year—equal to the annual household water usage of 6 to 10 million Americans. The cumulative effect would put the AI industry’s net‑zero emissions targets out of reach.
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