
About this episode
Most AI investment flows to infrastructure while founders ignore energy constraints that will determine who survives. George Lee, Co-Head of Goldman Sachs Global Institute, breaks down the bottlenecks choking AI deployment from silicon to grid capacity.
George reveals flexible demand management frameworks that could unlock 75-125 gigawatts of slack capacity, eliminating energy bottlenecks. He and Tom go on to discuss why Middle Eastern sovereign wealth funds are building strategic energy advantages, and how nondeterministic AI systems require continuous sampling protocols.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Get every episode summarized
Each time The {Closed} Session publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The {Closed} Session

Why augmented intelligence (not automation) will define enterprise AI
The {Closed} Session

How auction theory is reshaping finance and compute trading
The {Closed} Session

How to systematically remove yourself as your business's biggest bottleneck
The {Closed} Session

The Path to Funding Your Next Great AI Startup Idea
The {Closed} Session