Economist, Policy

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As an Economist on the Policy team, you will measure and analyze AI's effects on the global economy, contribute to the Anthropic Economic Index, and develop new methodologies using privacy-preserving tools and novel data sources. You will combine econometrics, machine learning, and structural estimation to produce research that shapes policy discussions and product decisions.

Responsibilities

• Contribute 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 using novel data sources and privacy-preserving measurement systems (e.g., Clio).
• 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 measurement infrastructure and data collection.
• Translate research insights into actionable recommendations for product decisions and policy discussions.
• Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders.

Requirements

• PhD in Economics or a related field (preferred) with focus areas such as labor economics, industrial organization, or technological change.
• Strong track record of empirical research, especially studies combining novel data sources and economic theory or using frontier causal inference methods.
• Experience with:
  • Labor market analysis and occupational change
  • Task-based approaches to technological transformation
  • Large-scale data analysis and econometric methods
  • Using large language models for social science research
  • 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; comfortable learning new technical tools and frameworks.
• Demonstrated ability to lead complex research projects from conception to publication and to communicate technical findings to diverse audiences.
• Strong interest in ensuring AI development benefits humanity and comfort working with AI systems while critically assessing their capabilities and limitations.

Benefits & Logistics

• Annual salary range: $295,000 - $345,000 USD.
• Anthropic is a public benefit corporation headquartered in San Francisco; they offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space.
• Location-based hybrid policy: staff are expected to be in an office at least 25% of the time (some roles may require more time onsite).
• Visa sponsorship: Anthropic states they do sponsor visas and will make reasonable efforts and provide legal support when possible.
• Deadline to apply: None (applications reviewed on a rolling basis).

Examples of recent work

• Anthropic Economic Index reports (including Uneven Geographic and Enterprise AI Adoption)
• Economic Tasks Performed with AI: Evidence from Millions of Claude Conversations
• Clio: Privacy-Preserving Insights into Real-World AI Use

Notes

• The team combines rigorous empirical methods with first-of-their-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Candidates may be primarily hired in San Francisco, with consideration for London-based candidates.