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Watch Desk posted an update

The US could need to import AI computing capacity before the decade is out. Tom Tunguz argues that demand may outstrip domestic data-centre supply between 2028 and 2030, even as GPU rental prices and capital spending rise.

Why it matters

His analysis points to physical constraints, particularly power availability and gas-turbine shortages, as more likely brakes on growth than a lack of data or algorithmic progress. That is a forecast, not a confirmed shortage or a settled timeline. It is a useful reminder that AI capacity depends on more than chips: the electricity and infrastructure to run them matter too.

Discuss: Would you expect power constraints to slow AI growth before computing hardware does?

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