The role involves building macroeconomic models of transformative AI that address growth, labor markets, and income distribution. The researcher will develop scenario-based forecasting tools to analyze economic trajectories that lack historical precedent. Projections will be grounded in microeconomic data derived from real-world AI interaction patterns. The position requires contributing to the development of AI-powered research tools and publishing findings through reports and briefs. Additionally, the role entails building relationships with academic and policy partners to engage diverse stakeholders.

Candidates must hold a PhD in Economics or be an exceptional candidate near completion. A strong background in macroeconomics, growth theory, or public finance is required, ideally with exposure to labor economics. Proficiency in Python or Julia is necessary, along with the ability to utilize AI coding agents within a research workflow. Applicants must demonstrate the ability to lead research projects from conception to publication and communicate technical findings effectively.