Daniel King
AI policy & data centers
I am a research fellow at the Foundation for American Innovation (FAI), where I work on frontier AI policy and AI infrastructure. My research spans the governance of frontier-model developers, the policies shaping the data center buildout, and the implications of AI for space industrialization. I have written and testified on data center siting, behind-the-meter generation, and electric grid modernization.
I started Policy Gradients, which is now the blog of FAI's Super Intelligence (SI) directorate.
Earlier in my career, 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 my B.S. in Mechanical Engineering and Applied Math. Prior to that, my main interest was classical flute performance.
Selected Work
- Policy Gradients The official blog of FAI's Super Intelligence (SI) directorate.
- Research at FAI Publications on frontier model governance, compute infrastructure, and more.
- The AI Race Will Extend Far Beyond Earth Essay for AI Frontiers on how AI could accelerate industrialization and alter strategy in space (with Laura Hiscott, 2026).
Press & Appearances
- Spoke with CNN, NBC News, and Heatmap News about the politics of data centers (2026).
- Spoke on a SpaceNews web panel about the challenges driving interest in orbital data centers (2026).
- Spoke with IEEE Spectrum about offshore computing (2026).
- Testified before the Wisconsin Assembly Committee on Science, Technology, and AI (2025).
- Spoke with Latitude Media about grid capacity (2025).
- Appeared on The Dynamist for the podcast episode "Grid-Locked: The Battle over Data Centers" (2025).