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Anthropic is seeking a Regional Research Economist to collaborate with governments, academia, industry, and civil society in Seoul to measure and understand AI's economic effects and explore research-driven policy interventions. You will contribute to the development and regional extension of the Anthropic Economic Index, establish new methodologies to measure AI usage, diffusion, and impact across the economy, and broaden access to insights generated by the Index.
The role combines rigorous empirical methods with novel measurement approaches. Anthropic is building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation using its privacy-preserving measurement system (Clio), analyzing millions of real-world AI interactions to understand how AI augments and automates work across occupations and tasks.
Key responsibilities include:
- Building and maintaining relationships with academic institutions, policy think tanks, and research partners as the primary regional contact for economic impact work
- Advancing research collaborations addressing country- or regional-specific economic impact questions
- Translating research insights into actionable policy recommendations
- Contributing to the development and expansion of the Anthropic Economic Index with country- and regional-specific analysis
- Designing and collaborating on empirical research on AI's economic effects with regional stakeholders
- Developing new methodological approaches for studying AI's impact on labor markets, productivity, task transformation, economic inequality, industry-specific disruption, and aggregate economic trajectories
- Working cross-functionally with technical teams to improve measurement infrastructure and data collection
- Amplifying engagement through research publications, policy briefs, and presentations to diverse stakeholders
You will use frontier methods in econometrics, machine learning, and structural estimation to drive impact, shaping policy discussions externally and informing Anthropic's internal business and product decisions.
Minimum qualifications:
- PhD in Economics
- Strong track record of empirical research, particularly studies combining novel data sources with economic theory or implementing frontier methods in causal inference and machine learning
- Demonstrated experience working in and relevant relationships across the region
- Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
- Demonstrated ability to lead complex research projects from conception to publication
- Demonstrated ability to communicate technical findings to diverse audiences
- Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications:
- Experience relevant to studying AI's impact on the economy (labor market analysis, occupational change, task-based approaches to technological transformation, large-scale data analysis, econometric methods, LLMs for social science research, policy-relevant economic research, experimental/quasi-experimental causal inference methods, macroeconomic modeling, agent-based modeling)
- Experience working with novel datasets and measurement systems
- Comfort learning new technical tools and frameworks
- Strong interest in ensuring AI development benefits humanity
- Comfort working with AI systems and ability to think critically about their capabilities and limitations
