Description
As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions.
You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index.
You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
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.
Key responsibilities include building and maintaining relationships with academic institutions, policy think tanks, and other research partners, advancing research collaborations that answer country- or regional-specific economic impact questions, translating research insights into actionable recommendations for policy discussions, making fundamental contributions to the development and expansion of the Anthropic Economic Index, designing and collaborating on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region, and developing new methodological approaches for studying AI's impact on labor markets, productivity, and economic inequality.
The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.