Research Economist, Economic Research
About the role
About Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As an Economist at Anthropic, you will work to measure and understand AI's effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system, we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.
Responsibilities
- Make fundamental contributions to the development and expansion of the 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 privacy-preserving measurement systems
- Develop new methodological approaches for studying AI's impact on labor markets, productivity, task transformation, economic inequality, industry disruption, and aggregate economic trajectories
- Develop causal-inference tooling to help Anthropic evaluate the downstream economic consequences of its compute, product, and pricing decisions
- Build and maintain relationships with academic institutions, policy think tanks, and research partners
- Work cross-functionally with technical teams to improve measurement infrastructure and data collection
- Translate research insights into actionable recommendations for product decisions and policy discussions
- Amplify external engagement through research publications, policy briefs, and presentations