Scaling Laws: Identifying the Myths and Facts of AI's Environmental Impact with Gavin McCormick
From The Lawfare Podcast: Patreon Edition by The Lawfare Institute
May 1, 2026 · 50 min
About this episode
The episode discusses how AI and satellite imagery are transforming the understanding of global greenhouse gas emissions.
In this episode of Scaling Laws , we explore how the "black box" of global greenhouse gas emissions is being cracked open by artificial intelligence and satellite imagery. Kevin Frazier is joined by Gavin McCormick, who leads Watt Time and ClimateTrace, a global coalition that has revolutionized the process of identifying and quantifying emissions. For decades, climate policy has relied on self-reported data from nations and corporations—a system prone to gaps and "greenwashing." McCormick’s work leverages machine learning to monitor every major source of emissions on Earth in near real-time. They discuss the legal implications of "radical transparency," how AI-driven data can be used to enforce regulations and measure claims, and the myths and facts of AI’s environmental consequences. Find Scaling Laws on the Lawfare website , and subscribe to never miss an episode. Hosted on Acast. See acast.com/privacy for more information.
People in this episode
Host: Kevin Frazier
Guest: Gavin McCormick
Topics covered
- AI
- environmental impact
- greenhouse gas emissions
- climate policy
- machine learning
- transparency
- regulations
Keywords
- AI
- environment
- emissions
- machine learning
- climate policy
- transparency
- greenwashing
Mentioned in this episode
Organizations: Watt Time, ClimateTrace
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