Aug 28, 2026 · 52 min
Advanced nuclear faces AI’s surging power demand
Solving AI’s Energy Problem with Kathryn Huff
AI and other emerging technologies are creating demand for reliable clean electricity, forcing a choice between nuclear expansion, alternatives, cost, safety, and deployment speed.
- 1Advanced fission could provide reliable electricity and industrial heat near major users such as AI data centers.
- 2Recycling spent fuel may reduce waste volume and longevity, but mining, enrichment, repositories, safety, and public trust remain constraints.
- 3Small modular reactors could arrive within roughly a decade, yet costs, security, regulation, and timely orders will determine their scale.
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Kathryn Huff explains how advanced reactors could recycle spent nuclear fuel, reducing both the volume and longevity of radioactive waste.
The brief
Gary O’Donoghue frames the problem: AI data centers, electric vehicles, quantum computing, and industry are expanding electricity demand while climate goals require cleaner power.
Kathryn Huff explains why fission is commercially available while fusion remains uncommercialized, then compares nuclear, renewable, and fossil-fuel safety and climate impacts.
Small modular reactors could sit near major power users, reducing transmission needs and supplying both electricity and high-temperature industrial heat through modular designs.
The discussion confronts nuclear’s hardest obstacles: spent-fuel fears, uranium and enrichment bottlenecks, repository progress, security limits, and the cost of new reactors.
Huff says first advanced and small modular reactors may take roughly a decade, making near-term orders and deployment discipline central to the nuclear buildout.
Kathryn D. Huff
Gary O'Donoghue
Paul MercurioMentioned
ITER
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