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When AI’s physical footprint starts to hurt

AI’s boom isn’t virtual—it’s draining power grids and reshaping communities.

When AI’s physical footprint starts to hurt

Last week Microsoft announced a second “supercomputer campus” in Wisconsin, pushing their AI tab around Racine above $7 billion. The press release frames it as progress; the reality looks more like an arms race, as this follows similar announcements from AWS (in Ohio and Pennsylvania), Google (in Oklahoma, Virginia and Indiana) and Meta (in Louisiana).

These aren’t data centers the way we once imagined them, with rooms of servers quietly humming. They’re industrial-scale furnaces of computation: hundreds of thousands of GPUs, exotic cooling rigs, power demands that rival small nations.

Here’s what most of the public misses: the cloud isn’t in the sky, it’s in your backyard—draining the grid, heating rivers, bending public infrastructure to its will. 

America’s data centers already pull down about 176 terawatt-hours a year. By 2030, that figure could easily more than double, sucking up nearly 10% of the country’s electricity. Put another way: the AI build-out is the energy equivalent of putting 18 million new Cadillac Escalades on our highways.

So, feeling guilty about a 16 MPG SUV? That will soon be a lot greener than AI.

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And one more thing…

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