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. Such rigour will drive impact, shaping both policy discussions and product decisions as AI transforms the economy.
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 (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.
Note: We are primarily looking to hire in San Francisco but may consider candidates based in London
Responsibilities
- 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 using novel data sources and 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
- Build and maintain relationships with academic institutions, policy think tanks, and other research partners
- Work cross-functionally with technical teams to improve our measurement infrastructure and data collection
- Translate research insights into actionable recommendations for both product decisions and policy discussions
- Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
You may be a good fit if you
- PhD in Economics or related field with a focus on labor economics, industrial organization, or technological change
- Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference
- Experience with:
- 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
- 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
- Build relationships across academic, policy, and industry communities
- Strong interest in ensuring AI development benefits humanity
- Comfort working with AI systems and ability to think critically about their capabilities and limitations
Some Examples of Our Recent Work
Additional Information
For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
