About the role As an Economist at Anthropic, you'll lead our work to measure and understand AI's effects on the global economy. You'll drive the development of the AI Economic Index, establishing new methodologies for measuring AI's real-world economic impact using privacy-preserving tools and empirical data. Your work will help shape 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. 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. Responsibilities: Lead the development and expansion of the AI 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 Lead external engagement through research publications, policy briefs, and presentations to diverse stakeholders You may be a good fit if you have: PhD in Economics or related field with focus on labor economics, industrial organization, or technological change Strong track record of empirical research, particularly studies combining novel data sources with economic theory Experience with: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods 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: The Anthropic Economic Index: Measuring AI's Impact Through Real-World Usage Data Economic Tasks Performed with AI: Evidence from Millions of Claude Conversations Clio: Privacy-Preserving Insights into Real-World AI Use #J-18808-Ljbffr Anthropic
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