Stanford professor Andrew Hall joins Anthropic to research the political economy of superintelligence
Hall joins as a Member of the Technical Staff on Anthropic’s Rule of Law team, focusing on democratic self-governance, individual liberty and trust in increasingly capable AI
Stanford political economy professor Andrew Hall has joined Anthropic to research the political economy of superintelligence
Andrew Hall, the Davies Family Professor of Political Economy at Stanford Graduate School of Business, has joined Anthropic to research the political economy of superintelligence and how increasingly capable AI could interact with democratic institutions.
Hall started at Anthropic in August 2026 as a Member of the Technical Staff and will work with the company’s Rule of Law team.
His research will examine how AI systems can support democratic self-governance and individual liberty, using agentic experiments and large-scale data alongside work on how citizens and policymakers judge whether AI is trustworthy.
Announcing the appointment on LinkedIn, Hall wrote: “AI is progressing fast, and we have a rare opportunity to build it in ways that make free societies stronger.”
He added: “I'll be conducting new research with the Rule of Law team to understand how we can design AI that bolsters democratic self-governance and enhances individual liberty.”
Research spans AI, power and institutional design
Hall’s academic work has focused on the relationship between politics, technology and governance, including how digital systems reshape power and decision-making.
At Stanford Graduate School of Business, he is the Davies Family Professor of Political Economy, with research spanning AI, markets and institutional design. He is also a Senior Fellow at the Hoover Institution and Stanford Institute for Economic Policy Research.
His recent work includes research on political reasoning and bias in large language models, AI agents, prediction markets and governance systems designed to preserve human control.
Hall describes his research around three areas: how systems determine what is true, whether AI can act faithfully on people’s behalf and how institutions using AI can retain human control.
That work now feeds directly into his Anthropic remit.
“We’re only beginning to understand the political economy of increasingly capable AI, and there’s a much broader research agenda to develop around it,” Hall wrote on LinkedIn.
Free Systems Lab work will continue
Hall said he will continue running the Free Systems Lab, which he founded in January 2026.
The research lab develops and tests systems involving AI, markets and digital governance, including prediction markets, AI agents and institutional frameworks for decision-making.
His academic background also includes work on elections, political polarization, democratic participation and platform governance. Hall received a BA in Economics and Classics from Stanford University, followed by an AM in Statistics and a PhD in Political Science from Harvard University.
He will continue publishing through Free Systems alongside his new Anthropic research role.
