Nvidia's Ousted CEO Said a 1-Gigawatt Data Center Delay Costs $10 Billion a Quarter. Here's Why That Matters for Power Stocks.
Energy remains a critical bottleneck for AI growth.
Nvidia's former CEO, Jensen Huang, warned the market about potential delays in AI data center construction, estimating that a three-month delay could result in $10 billion in lost revenue. Huang's resignation doesn't diminish his insight on the matter. The industry is acutely aware of the economic impact of these delays. However, the biggest bottleneck for AI data center construction may lie in securing sufficient energy capacity to meet rising demand.
Energy-intensive data centers are struggling to keep up with the rapid adoption of AI technologies. Both McKinsey & Co. and Morgan Stanley have highlighted this constraint. J.P. Morgan warns that power is now the binding constraint for AI build-out. Investors should consider allocating funds to next-gen energy companies, such as NuScale Power and Oklo Inc., which specialize in small modular reactors, offering faster construction and lower capital requirements.
Alternatively, more established companies like Constellation Energy and Bloom Energy could provide steady exposure to the AI economy through existing nuclear power and fuel cell systems.
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