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Wall Street weighs prospect of an AI slowdown on data center buildout

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Why This Matters

This story highlights the reliance of the data center industry on the continued growth of AI model development. A slowdown could impact investments and the supply chain for AI infrastructure, affecting multiple tech and industrial companies. It underscores the interconnected nature of AI advancements and the infrastructure that supports them, which is crucial for industry growth and consumer services alike.

Key Takeaways
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The data center boom in the U.S. has largely been tied to the growth prospects of two companies — Anthropic and OpenAI — and the seemingly unending demand for their models and services. Now Wall Street is weighing what a potential slowdown in model development could mean across the industry.

Oracle has undergone a huge transformation over the past 18 months to capitalize on the artificial intelligence opportunity, laying off employees in slower-growth areas while pouring billions of dollars into compute and data centers.

Industrial heavyweights like GE Vernova , Caterpillar and Vertiv have invested heavily in providing the energy equipment essential to powering AI servers, while neoclouds such as Nebius and CoreWeave have become central players in supplying hyperscalers with compute and access to AI infrastructure.

For all those companies and others like server makers Dell and Hewlett Packard Enterprise , ongoing success hinges on the buildout continuing and chips and AI systems remaining in high demand. One tech investor, who asked not to be named in order to speak candidly on the matter told CNBC, "Any significant delay could cost them."