d9da00f5-0b0 Transformative AI Research Economist, Economic Research As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent.\n\nYou will ground projections in microeconomic signals from the Anthropic Economic Index , usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement , so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity.\n\nOur 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.\n\nResponsibilities:\n\n Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution\n Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories\n Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation\n Analyze questions of income distribution and economic governance under transformative-AI scenarios\n Contribute to the development of AI-powered research tools for economics\n Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise\n Build and maintain relationships with academic institutions, policy think tanks, and other research partners\n Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders\n\nYou May Be a Good Fit If You Have:\n\n PhD in Economics, or an exceptional candidate close to completion\n Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics\n A research record that engages seriously with the possibility of transformative AI , you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against\n Relevant experience in some of:\n\n Macroeconomic modeling and structural estimation\n Scenario-based and time-series forecasting\n Task-based approaches to technological change\n Computational methods, agent-based modeling, or large-scale simulation\n Income distribution and inequality\n Using large language models in the research workflow\n Technical skills including:\n\n Proficiency in Python, Julia, or similar for computational economics\n Facility with AI coding agents as part of a research workflow\n Comfort learning new technical tools and frameworks\n Demonstrated ability to:\n\n Lead research projects from conception to publication\n Ship on tight timelines and revise in public as new data arrives\n Communicate technical findings to diverse audiences\n Strong interest in ensuring AI development benefits humanity\n\nSome Examples of Our Recent Work:\n\n Labor market impacts of AI: A new measure and early evidence\n Anthropic Economic Index Report: Economic Primitives\n Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\n Estimating AI productivity gains from Claude conversations\n The Anthropic Economic Index\n\nAdditional Information:\n\nFor this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI.\n\nDeadline to apply: None. Applications are reviewed on a rolling basis\n\nThe annual compensation range for this role is listed below.\n\nFor sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n\nAnnual Salary: $300,000-$405,000 USD

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]]> full-time senior hybrid $300,000-$405,000 USD Python, Julia, macroeconomic modeling, structural estimation, scenario-based forecasting, time-series forecasting, task-based approaches to technological change, computational methods, agent-based modeling, large-scale simulation, income distribution, inequality, large language models Engineering Technology Anthropic https://logos.yubhub.co/anthropic.com.png Anthropic is a technology company focused on developing artificial intelligence systems. https://www.anthropic.com/ https://job-boards.greenhouse.io/anthropic/jobs/5149802008 San Francisco, CA 2026-04-18 150ca1e8-f29 Research Economist, Economic Research As a Research 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 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.

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, drawing on external data sources and the privacy-preserving measurement systems internally
  • 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
  • Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
  • Develop causal-inference tooling , e.g. surrogate indexes, heterogeneous-effect pipelines , to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions
  • Build and maintain relationships with academic institutions, policy think tanks, and other research partners
  • Work cross-functionally with other 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 Have:

  • PhD in Economics
  • Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
  • Experience relevant to the study of AI’s impact on the economy, including:
  • 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
  • Experimental and quasi-experimental methods for causal inference
  • Macroeconomic modeling and time series forecasting
  • Agent-based modeling or large-scale simulation
  • 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

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]]> full-time senior hybrid $300,000-$405,000 USD PhD in Economics, Empirical research, Econometrics, Machine learning, Structural estimation, Python, R, SQL, Large-scale data analysis, Novel datasets and measurement systems, Causal inference, Macroeconomic modeling, Time series forecasting, Agent-based modeling Engineering Technology Anthropic https://logos.yubhub.co/anthropic.com.png Anthropic is a technology company focused on developing artificial intelligence systems. https://www.anthropic.com/ https://job-boards.greenhouse.io/anthropic/jobs/5018472008 San Francisco, CA 2026-04-18