Episode
Scaling Laws: Identifying the Myths and Facts of AI's Environmental Impact with Gavin McCormick
- Podcast
- The Lawfare Podcast
- Published
- May 1, 2026
- Duration seconds
- 3107
- Processing state
processed- Canonical source
- https://shows.acast.com/lawfare/episodes/scaling-laws-identifying-the-myths-and-facts-of-ais-environm
Actions
POST https://stenobird.com/v1/public/podcasts/the-lawfare-podcast-745203/episodes/scaling-laws-identifying-the-myths-and-facts-of-ai-s-environmental-impact-with-gavin-mccormick/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/the-lawfare-podcast-745203/scaling-laws-identifying-the-myths-and-facts-of-ai-s-environmental-impact-with-gavin-mccormick.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
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. To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare . You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute . Support this show http://supporter.acast.com/lawfare . Hosted on Acast. See acast.com/privacy for more information.