Data centers: A physical drag on the AI boom

Growth may soon hit a bottleneck

Saline, Michigan, Construction of a $16 billion data center, developed by Related Digital for Oracle and OpenAI.
Market fluctuations and physical limitations have cast a shadow across AI's massive technological expansions
(Image credit: Jim West / UCG / Universal Images Group / Getty Images))

The data center boom has “entered a new, contradictory phase,” said Brian Martucci in Utility Dive. Construction activity on the massive warehouses filled with AI servers “remains robust.” But several billion-dollar projects are facing “a host of challenges,” including worker shortages, a lack of gas turbines, grid constraints, permitting delays, and widespread community opposition. The problems came to a head recently in New Mexico, when Oracle issued an unusual force majeure notice—normally reserved for insurance against “acts of God”—to “protect itself financially from the delay or cancellation” of its so-called Project Jupiter, after state regulators “blocked a gas pipeline proposed to serve it.” Google has also recently had to halt work on two data centers in Finland after a local outcry spurred an environmental review, while a Microsoft project in Michigan “faces an uncertain future amid local permitting delays.” Goldman Sachs estimates only 50% of planned data-center capacity may actually come to fruition in the near term.

That means the AI boom may soon hit a bottleneck, said Asa Fitch in The Wall Street Journal. Tech giants need “lots of data centers and electricity” to fulfill their ambitions, but the “delays are biting.” The amount of electricity demanded by data centers globally in the next two years “is enough to power around 118 million homes.” It’s curious that “chipmakers aren’t yet blaring their sirens” about the capacity squeeze. Possibly, that’s because they can’t even accurately tell “how much is being built”—and how much is being idled.

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