Convergence Fellowship Program
AI Economic Policy Fellowship: Spring 2025
These projects were conducted as part of SPAR Spring 2025, a research fellowship connecting rising talent with experts in AI safety or policy.
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.
Securing the Substrate Behind Every Chip: A U.S. Strategy for Ajinomoto Build-Up Film (ABF)
This brief argues that Ajinomoto Build-Up Film (ABF) represents a neglected chokepoint in the global semiconductor supply chain. It makes the case for a partial re-shoring strategy focused on securing U.S. access to ABF through a joint venture with Ajinomoto.
Coming soon
Funding Government in the Age of AI
This work identifies the most promising ways for governments to preserve fiscal stability under a wide range of possible economic outcomes under transformative AI. It introduces a new FIRI Framework (Feasibility, Incidence, Resilience, Incentives) to evaluate public revenue policies.
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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