Convergence Fellowship Program
Economic Policy Research for the AI Transition
A 12-week intensive research program focused on designing economic policy research for the upcoming AI economic transformation.
Our aim has been to create the first comprehensive body of work addressing the question: What role should government play in managing the economic transition triggered by advanced AI systems?
Mentors
Q1 Fellows
Project summaries
Funding Democracy in the Age of AI: Public Revenue in the New Economy
How should tax policy evolve to handle transformative AI?
AI and Corporate Personhood - A Comparative Analysis
This research compares how the concept of legal personhood of corporations could be extended to AI systems.
Decoding AI Diffusion: Forecasting the path of transformative AI across industries
How will the age of transformative AI unfold, and how will different sectors of the economy be impacted?
A US Sovereign Wealth Fund (SWF) for AI
This research examines the potential investment in frontier AI companies by a US Sovereign Wealth Fund.
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 and controlled by Japan’s Ajinomoto Group.
Toward ASI Stability: A Treaty Framework for US–China Cooperation on Artificial Superintelligence
This project explores the idea of a phased, enforceable treaty between the U.S. and China to help prevent a dangerous race toward Artificial Superintelligence (ASI).
Modelling Tax Base Distortions from AI-Induced Automation in US Economy
This paper investigates the potential impacts of Artificial Intelligence (AI)-driven automation on the United States tax system.
Public Utility Governance for Transformative AI
Our project investigates whether and how transformative AI (TAI) can and should be regulated as a public utility, exploring the conditions that justify such an approach (e.g., natural monopoly characteristics).