About the Role
Anthropic is at the center of critical conversations about AI's economic and societal implications—from AI's impact on labor markets and economic growth to questions of AI governance, competition policy, and the future of innovation. Through initiatives like the Anthropic Economic Index and our broader research efforts, we're working to build rigorous, evidence-based understanding of AI's economic effects. In this role, you'll lead our editorial work at the intersection of AI, economics, and policy, helping to shape how Anthropic contributes to these essential debates.
As Economics & Policy Lead on the Editorial team, you'll produce rigorous, compelling content that bridges technical AI capabilities with economic analysis and policy implications. You'll write about everything from AI's productivity effects and the economics of compute to AI policy frameworks, regulatory approaches, and progress studies. Your work will engage policymakers, economists, technologists, and the broader public in substantive conversations about AI's role in shaping our economic and political future.
About the Editorial Team
The Editorial team is responsible for shaping how Anthropic communicates about AI—from digital and printed publications to public events. Our goal is to build understanding about both the opportunities and challenges of advanced AI systems. We collaborate extensively with partner teams across the organization.
Role Responsibilities:
- Create engaging, rigorous written content about the economics and policy implications of AI development and deployment
- Develop Anthropic's thought leadership on topics including: AI's economic impacts, innovation policy, governance frameworks, competition and market dynamics, progress studies, and regulatory approaches
- Collaborate with Anthropic's Policy and Econ teams, our research scientists, and external economists/policy experts to translate complex ideas into accessible public-facing content
- Engage with policymakers, think tanks, academic institutions, and media to advance productive conversations about AI policy and economics
- Identify emerging economic and policy questions related to AI and develop compelling narratives around them
- Work crossfunctionally on editorial content related to the Anthropic Economic Index and other economic research initiatives
- Communicate in diverse formats and for multiple audiences—from op-eds in major publications to longer-form essays, policy briefs, video and audio interviews, and company blog posts
- Contribute to Anthropic's broader communications strategy on issues of AI progress, safety, and societal impact
You May Be a Good Fit If You:
- Have a strong background in economics, public policy, or a related field, with proven ability to communicate clearly and compellingly about complex economic and policy topics for broad audiences
- Possess deep knowledge of AI policy debates, innovation economics, regulatory approaches to emerging technologies, or adjacent areas
- Have published research or commentary in respected outlets (academic journals, think tank publications, major media outlets)
- Can engage credibly with both technical AI concepts and economic/policy frameworks
- Excel at translating academic research and policy analysis into compelling narratives
- Have strong instincts for identifying which policy and economic questions will matter most as AI develops
- Care deeply about evidence-based policymaking and the societal implications of AI
- Are comfortable engaging in policy debates while maintaining intellectual rigor and nuance
- Can represent Anthropic's perspective effectively while engaging constructively with diverse viewpoints
Strong Candidates May Also Have:
- An advanced degree in economics, public policy, political science, or a related field
- Experience working in or with policymaking institutions (think tanks, government, policy advocacy organizations)
- A track record of influencing policy debates through writing and public engagement
- Connections within policy and economics communities relevant to AI governance
- Experience with progress studies, innovation policy, or the economics of technology
- Direct experience working on AI policy or technology policy issues
- Published work on topics such as: economic growth, innovation economics, regulatory policy, competition policy, or the economics of emerging technologies
