Convergence Fellowship Program
AI Economic Policy Fellowship: Spring 2025
We organized a 12-week intensive research program, focused on designing policy interventions for the upcoming AI economic transition.
Working in small teams across seven topics, fellows produced seminal research addressing critical policy questions on taxation, supply chains, legal rights, economic modeling, public utilities, and more.
This fellowship aims to fill a crucial gap in economic policy research and kickstart the international conversation on how societies should respond to the upcoming labor market transformations from the adoption of powerful AI systems.
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Mentors
Research Projects
Coming soon
Decoding AI Diffusion: Mapping the Path of Transformative AI Across Industries
This report proposes an organizing framework for considering how sectoral factors like technology, human capital, and regulation will shape the adoption patterns of TAI across industries.
Lead, Own, Share: Sovereign Wealth Funds for Transformative AI
This paper examines the role of sovereign wealth funds in managing the geopolitical and economic challenges posed by transformative artificial intelligence.
Coming soon
Funding Government in the Age of AI
This work assesses the performance of nine taxation mechanisms across a range of scenarios. It introduces a new FIRI Framework (Feasibility, Incidence, Resilience, and Incentives) to compare these public revenue strategies.
Coming soon
The Case for U.S. ABF Production: A Key Semiconductor Supply Chain Gap
Ajinomoto Build-Up Film (ABF) is a critical, proprietary material for advanced semiconductor packaging, currently produced almost entirely in East Asia. This report proposes strategic licensing and a joint venture to onshore American production of ABF.
Coming soon
Public Utility Governance for Transformative AI
This project investigates whether and how transformative AI can and should be regulated as a public utility, and proposes specific policy interventions to enhance market fairness and public benefits.
Coming soon
Modelling Tax Base Distortions from AI-Induced Automation in the US Economy
Utilizing a Computable General Equilibrium model, this report simulates various automation scenarios to study how AI could undermine labor-based government revenue models.
Fellows
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