Research Economist, Economic Research

The shape of it

In the posting’s own words

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 externally and informing Anthropic’s internal business and product decisions.

What it asks for · 21

• 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

7 more in the original.

What the job covers

• 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

Degree language

• PhD in Economics

Tools and skills named

Words the posting leans on

• economic16×
• research9×
• data6×
• impact6×
• measurement6×
• policy6×
• economic index5×
• methods5×
• novel5×
• technical5×
• analysis4×
• approaches4×
• economy4×
• empirical4×
• productivity4×
• systems4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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