Why Building AI Data Centres Isn’t Working Anymore

ColdFusion · 2026-06-08 · 27 min
https://www.youtube.com/watch?v=eXXwN_TDdLUVideo summary
ColdFusion reports nearly half of US data center projects delayed or canceled as power, water, supply chains and local opposition constrain the AI boom.
ColdFusion examines why the AI data center boom is faltering despite four tech companies planning $650 billion in 2026 spending. Of roughly 140 US projects slated to open this year, only a third are being built; power, transformers, cooling equipment and skilled labor are in short supply. Communities face noise, water pollution and rising electricity bills, while promised permanent jobs are often scarce. Opposition is growing: 65% of Americans surveyed oppose local data centers, Maine enacted a construction pause through late 2027, and cancellations tied to local resistance quadrupled in 2025. Financial risks are also mounting, with speculative returns, costly debt and projects such as Fermi America’s 17-gigawatt Texas campus stumbling. The film considers subsea facilities and smaller local AI models as alternatives, arguing that future expansion depends on realistic demand, transparency and community trust.
Chapters
- 0:00The data center gold rush: $650 billion planned for 2026, but only a third of US projects under construction
- 2:13Economic and local impact: data centers drove 92% of US GDP growth, while Oregon schools lost $275 million
- 6:23Sponsor: Revolut
- 7:46Structural supply bottlenecks: power plans, Chinese transformers and fiber technicians constrain data centers
- 10:10Community and environmental toll: Utah’s 40,000-acre proposal, Meta’s 5-gigawatt site and rising bills
- 14:37Rising backlash and dissent: 25 project cancellations, 65% opposition and Maine’s construction ban
- 17:38Financial risks and bubbles: Microsoft defers 2 gigawatts as A-rated data center bonds pay up to 12%
- 21:10Failed projects and reality: Fermi America’s 17-gigawatt Texas campus lost leaders and a confirmed tenant
- 23:28Future paths and conclusions: subsea cooling, local AI models and a call for community trust
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