U.S. steelmakers have begun warning that surging AI data center electricity demand is competing for the grid power they need to operate domestic mills, the Wall Street Journal reported. Steel producers have been among the largest beneficiaries of the data center buildout through orders for structural components. Rising electricity prices and capacity constraints are eroding the margins the administration's reshoring agenda depends on, executives told the WSJ.
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Severe weather, led by prolonged heatwaves, is straining the power grids that AI data centers depend on and driving up operators' insurance and repair costs, CNBC reported Monday. Severe weather has become the top cause of loss in Zurich's U.S. data center builders' risk portfolio over the past three years, now accounting for a third of the insurer's losses, and a First Street study found 79% of global data center capacity faces elevated risk from hazards such as flooding, extreme winds and wildfires. Hyperscalers are adapting: Microsoft cited site selection and redundant systems, and Nvidia said its newest AI servers can run cooling liquid at 45 degrees Celsius, noting that raising chiller temperatures by one degree cuts cooling energy costs about 4%.
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White-collar headcount rose 10.2% at the companies using generative AI most intensively in the first two years after adoption, with entry-level roles up 12%, according to research covering almost 22,000 U.S. companies, the Financial Times reported. Firms in the bottom two-thirds of AI spending per worker showed no significant change against a control group, and co-author Ara Kharazian, Ramp's chief economist, cautioned that the lift appears only after a six- to 12-month learning curve and was concentrated almost entirely in the tech sector among white-collar roles. The findings cut against forecasts of broad AI-driven job losses, even as Oracle, Snap, Block and Cisco have tied layoffs to AI. But a labor economist warned the results are hard to read because heavy adopters skew toward small, fast-growing startups, and separate Stanford and Harvard studies found AI adoption reduced early-career and junior employment.
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