Transformative AI Research Economist, Economic Research
Builds macroeconomic models and scenario-based forecasting tools for transformative AI impacts on growth, labor markets, and income distribution. Requires PhD in Economics, expertise in macro modeling, computational methods, and grounding in real-world AI usage data.
About the job
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
You May Be a Good Fit If You Have
- PhD in Economics, or an exceptional candidate close to completion
- Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics
- A research record that engages seriously with the possibility of transformative AI
- Relevant experience in: macroeconomic modeling and structural estimation; scenario-based and time-series forecasting; task-based approaches to technological change; computational methods, agent-based modeling, or large-scale simulation; income distribution and inequality; using large language models in the research workflow
- Technical skills including: 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
Skills
Python, Julia, Macroeconomics, Growth Theory, Structural Estimation, Scenario Forecasting, Computational Economics, Agent-Based Modeling, LLMs, Time-Series Forecasting
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