Tara Sinclair is a professor and chair of the economics department at George Washington University. Tara returns to the show to discuss her ambitious paper simulating an FOMC meeting before it happens with LLM models, the process of building sim FOMC members, the importance of publicly funding economic data, the future of AI and macroeconomics, and much more. Check out the <a href= "https://www.mercatus.org/macro-musings/tara-sinclair-building-synthetic-fomc-through-ai">transcript</a> for this week's episode, now with links. Recorded on October 27th, 2025 Subscribe to David's Substack: <a href= "https://macroeconomicpolicynexus.substack.com/">Macroeconomic Policy Nexus</a> Follow David Beckworth on X: <a href= "https://twitter.com/DavidBeckworth">@DavidBeckworth</a> Follow Tara on X: <a href= "https://x.com/TaraSinc">@TaraSinc</a> Follow the show on X: <a href= "https://twitter.com/Macro_Musings">@Macro_Musings</a> Check out our Macro Musings <a href= "https://www.bonfire.com/store/mercatus-podcast-swag/">merch!</a> <a href= "https://www.youtube.com/@BeckworthDavid">Subscribe</a> to David's new BTS YouTube Channel Timestamps 00:00:00 - Intro 00:01:44 - Data and Policymaking 00:05:28 - Federal Forecasters Conference 00:08:01 - FOMC in Silico 00:32:56 - Future Applications 00:38:29 - Broader Implications 00:42:57 - Central Bank Governance and AI 00:51:40 - Outro

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