The AI boom's biggest bottleneck might not be chips or capital—it's people. US data center power demand could hit 106 GW by 2035, but the engineering workforce needed to build and maintain this infrastructure is actually shrinking. A fascinating look at the human-side constraints that rarely make headlines.
SPECTRUM.IEEE.ORG
Are There Enough Engineers for the AI Boom?
The AI data center construction boom continues unabated, with the demand for power in the United States potentially reaching 106 gigawatts by 2035, according to a December report from research and analysis company BloombergNEF. That’s a 36 percent jump from the company’s previous outlook, published just seven months earlier. But there are severe constraints in power availability, material, equipment, and—perhaps most significantly—a lack of engineers, technicians, and skilled craftsmen
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