Transformative AI Research Economist, Economic Research

Anthropic
San Francisco, CA, USA2026-03-11

About the job

As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously.

Responsibilities

Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution

Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories

Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation

Analyze questions of income distribution and economic governance under transformative-AI scenarios

Contribute to the development of AI-powered research tools for economics

Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise

Build and maintain relationships with academic institutions, policy think tanks, and other research partners

Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

Qualifications

Minimum

PhD in Economics, or an exceptional candidate close to completion

Background in macroeconomics, growth theory, or public finance ideally with exposure t

Preferred

Proficiency in Python, Julia, or similar for computational economics

Facility with AI coding agents as part of a research workflow

Comfort learning new technical tools and frameworks

Demonstrated ability to:

Lead research projects from conception to publication

Ship on tight timelines and revise in public as new data arrives

Communicate technical findings to diverse audiences

Strong interest in ensuring AI development benefits humanity