AI Data Centers Need Power, and These 2 Industrials Are Cashing In
The article analyzes how electrical capacity has become the primary bottleneck for AI data center expansion in the US, surpassing chip supply constraints. Hyperscalers are bypassing traditional utility grids by deploying behind-the-meter power solutions, including co-located natural gas generation. This structural shift is driving massive demand for electrical equipment, benefiting industrial manufacturers like GE Vernova and Eaton. GE Vernova has amassed a 100-gigawatt gas-turbine backlog, selling out production through 2030, with pricing power shifting to suppliers. A joint venture with Chevron aims to deliver 4 gigawatts of co-located gas plant power by 2027. The article notes that while these industrials have strong earnings visibility and multi-year backlogs, elevated valuations carry execution risks from margin compression, supply chain constraints, and potential hyperscaler spending cuts.
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