Daniel King
AI policy & data centers
I am a research fellow at the Foundation for American Innovation (FAI), where I work on policy for frontier AI. Historically, my work has focused on AI infrastructure, including data centers (a.k.a. "AI factories") and the electric grid. I have written and testified on the buildout of AI factories as well as behind-the-meter generation.
I started Policy Gradients, a Substack about data centers and AI policy; it has since grown into an official publication of FAI, where I continue to write. Previously, I did a stint in data science research and worked for a turbine startup, where I designed computational fluid dynamics experiments.
I did my M.A. in Statistics and Data Science and my B.S. in Mechanical Engineering and Applied Math. Prior to that, my main interest was classical flute performance.
Selected Work
- Policy Gradients Substack that I created, now the official publication of FAI's AI directorate
- Research at FAI Publications on frontier model governance, compute infrastructure, and more
Press & Appearances
- Spoke on a SpaceNews web panel about the challenges driving interest in orbital data centers (2026).
- Testified before the Wisconsin Assembly Committee on Science, Technology, and AI (2025).
- Quoted in NBC News (2026) and Heatmap News (2026) on the politics of data centers.
- Quoted in IEEE Spectrum on offshore data center technology (2026).
- Quoted in Latitude Media on grid capacity (2025).
- Appeared on The Dynamist for the podcast episode "Grid-Locked: The Battle over Data Centers" (2025).