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Original headline: Tech companies need more data centers . So why are nearly half of all planned projects delayed or canceled ?
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NVDAdata centersartificial intelligenceelectricity
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Related tickers and likely impact
NVDA
▼ Likely negativeNvidia
Relevance: low
| Market | US stocks |
|---|---|
| Sector | Information Technology |
| Industry | Semiconductors |
| Market cap | $5.2T |
| Close on 10/19/2026 | 217.09 |
| Change that session | +1.38% |
Impact is scored by AI from the headline and may be wrong. It is not investment advice.
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- Tech companies need more data centers . So why are nearly half of all planned projects delayed or canceled ?
- Tech companies need more data centers . So why are nearly half of all planned projects delayed or canceled ?
- Tech companies need more data centers . So why are nearly half of all planned projects delayed or canceled ?
Spending on AI infrastructure is projected at about $700 billion through global hyperscale spending, yet building U.S. data centers is hitting bottlenecks in industrial supply chains and grid capacity rather than chip shortages. Industry research cited in the article finds that 30%–50% of the 16 GW of U.S. data center capacity scheduled to come online faces severe delays or cancellation. Causes include lengthy permitting, a shortage of roughly 439,000 skilled construction workers, electrical equipment deficits, and grid interconnection queues of four to seven years in Northern Virginia, Phoenix and Dallas. Oracle and OpenAI scrapped plans to expand the Crusoe Energy-developed campus in Abilene, Texas, from 1.2 GW to 2.0 GW after talks over financing and utility timelines stalled.
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Kirill Dmitriev, head of the Russian Direct Investment Fund (RDIF), said at the Russian Energy Week 2026 forum that Russia and the US are discussing joint data center projects, including using capacity from Russian nuclear power plants. He said the sides have a clear list of projects with some Russian companies involved, and cited effective coordination on Arctic, LNG and other energy projects, but gave no details or timeline. The article notes AI data centers need stable gigawatt-scale power, which nuclear plants can supply cheaply and without greenhouse gas emissions. However, these are currently only project lists rather than signed agreements.
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