Practical AI

AI policy and the battle for computing power

Mar 9, 2026
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Summary

The episode examines how AI is reshaping global power by shifting the center of progress into private-sector firms and making computing power — not just data — the primary driver of modern AI capability. It highlights the geopolitical concentration of advanced chip manufacturing (notably TSMC and ASML) as a strategic vulnerability and lever between states, especially the U.S. and China. The conversation covers policy trade-offs for democracies: building compute advantages, coordinating international safety norms, and preserving democratic values while adopting and operating AI. The episode also explores immediate security implications, notably how AI accelerates cyber offense and defense by discovering vulnerabilities at scale, and debates around export controls and military uses of advanced AI.

Key Takeaways

  • 1Compute, more than data, is the dominant lever driving current AI progress.
  • 2Advanced chip manufacturing is highly concentrated and creates geopolitical vulnerability.
  • 3Democracies should combine competition with coalition-building to lead responsibly in AI.
  • 4AI is rapidly changing cyber operations by finding vulnerabilities at scale.
  • 5Policy choices about export controls and military deployment of AI are contentious and consequential.

Notable Quotes

""And this is a really important insight which is the more computing power you use to train an AI system, the more powerful the resulting AI system.""

""97% of the advanced computer chips in the world are made in Taiwan by a company called TSMC using incredibly advanced machines from a company in the Netherlands called ASML.""

""AI is not a partisan issue.""

""Anthropic... published that [their model] had found something like 500 high severity vulnerabilities in open source software.""