AI energy efficiency
Subject in Technology
AI energy efficiency has come up in 1 episode across 1 podcast in TMT, including Moonshots with Peter Diamandis. 2 people have made recorded remarks about it.
What people said
Salim IsmailFounder of OpenExO and author on exponential organizations, co-host of Moonshots
Ismail offers a provocative estimate that New York City creates far more economic value per gigawatt than Anthropic's AI, while acknowledging the comparison may be unfair.
“So there's a human metropolis is therefore like something like 30 times more energy efficient at creating value than the world's most advanced AI currently”
Moonshots with Peter Diamandis: The Great Collision Between Politics and AI | #309 (Nov 7, 2026) · Listen from 1:11:27
Alexander Wissner-GrossComputer scientist and founder of Reified, co-host of Moonshots
Wissner-Gross notes that Chinese open-weight models outperform American ones on economic productivity per watt, which he attributes to compute constraints.
“it's very instructive that the Chinese open weight models are beating the American open weight models in terms of economic productivity per watt”
Moonshots with Peter Diamandis: The Great Collision Between Politics and AI | #309 (Nov 7, 2026) · Listen from 1:06:12
Podcasts
- Moonshots with Peter Diamandis · 1 episode
Episodes
The Great Collision Between Politics and AI | #309Moonshots with Peter Diamandis · Nov 7, 2026 · 1 h 47 min
Salim Ismail, Alexander Wissner-Gross and Dave Blundin discuss how Democratic midterm gains and data-center backlash affect AI, markets, recursive self-improvement and orbital compute.