In this episode, Patrick McKenzie (@patio11) is joined by Tim Fist, Director of Emerging Technologies at the Institute for Progress, to discuss how energy constraints could bottleneck AI development. They explore how AI training clusters will soon require gigawatts of power—equivalent to multiple nuclear plants—with projections showing a single cluster needing 5 gigawatts by 2030. Tim explains why behind-the-meter generation and geothermal energy offer promising solutions while regulatory hurdles like NEPA and transmission permitting create "litigation doom loops" that threaten America's competitiveness. The conversation covers the global race for compute infrastructure, with China and the UAE making aggressive investments while the US struggles with permitting delays, highlighting how energy policy will determine which nations lead the AI revolution.
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Full transcript available here: www.complexsystemspodcast.com/the-ai-energy-bottleneck-with-tim-fist/
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Sponsor: Vanta
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Timestamps:
(00:00) Intro
(00:40) Energy bottlenecks in AI development
(02:56) Technical and policy solutions for energy needs
(05:18) Challenges in transmission infrastructure
(12:14) Behind the meter generation explained
(17:50) Solar and storage: The future of energy
(18:47) Sponsor: Vanta
(20:05) Solar and storage: The future of energy (part 2)
(29:07) Power purchase agreements and financing
(33:17) Financing geothermal wells
(33:53) The promise of geothermal energy
(35:25) Challenges in geothermal adoption
(36:59) Industrial applications of geothermal heat
(45:01) Geothermal energy and national security
(49:27) Global investments in AI and energy infrastructure
(56:29) Policy and technical expertise in AI
(01:00:54) The role of government in technological advancements
(01:05:07) Wrap
