Research Economist, Economic Research

As an Economist at Anthropic, you will work to measure and understand AI's effects on the global economy, contributing to the Anthropic Economic Index and establishing new methodologies to measure the usage, diffusion, and impact of AI using privacy-preserving tools and novel data sources. The team combines rigorous empirical methods with novel measurement approaches, building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using the privacy-preserving measurement system Clio, the team analyzes millions of real-world AI interactions to understand how AI augments and automates work across occupations and tasks.

• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives.
• Design and conduct empirical research on AI's economic effects, drawing on external data sources and internal privacy-preserving measurement systems.
• Develop new methodological approaches for studying AI's impact on labor markets and the future of work, productivity and task transformation, economic inequality and displacement, industry-specific disruption and adaptation, and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios.
• Develop causal-inference tooling (e.g., surrogate indexes, heterogeneous-effect pipelines) to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions.
• Build and maintain relationships with academic institutions, policy think tanks, and other research partners; work cross-functionally to improve measurement infrastructure; translate research insights into recommendations for product decisions and policy discussions; amplify external engagement through research publications, policy briefs, and presentations.

• PhD in Economics.
• Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning.
• Experience relevant to the study of AI's impact on the economy, including labor market analysis and occupational change, task-based approaches to technological transformation, large-scale data analysis and econometric methods, large language models for social science research, policy-relevant economic research, experimental and quasi-experimental methods for causal inference, macroeconomic modeling and time series forecasting, and agent-based modeling or large-scale simulation.
• Technical skills including proficiency in Python, R, SQL, or similar tools for large-scale data analysis; experience working with novel datasets and measurement systems; comfort learning new technical tools and frameworks.
• Demonstrated ability to lead complex research projects from conception to publication, communicate technical findings to diverse audiences, and build relationships across academic, policy, and industry communities.

Annual salary: $320,000—$405,000 USD.

Applications are reviewed on a rolling basis with no deadline. Provide a writing sample, preferably a job-market paper or other article showcasing research and technical expertise. Anthropic sponsors visas and will make every reasonable effort to obtain one for offered candidates.