About the Role

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.

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

Some Examples of Our Recent Work

• Anthropic Economic Index Report: Economic Primitives
• Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
• Estimating AI productivity gains from Claude conversations
• The Anthropic Economic Index

Additional Information

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.

Application Question

Please provide a writing sample, preferably a job-market paper or other article that showcases your research and technical expertise.

Deadline to apply: None. Applications are reviewed on a rolling basis

About the role

The Anthropic Institute is looking for an Operations Lead to be the operational backbone of our external convenings programs. As AI gets increasingly powerful, Anthropic is eager to engage and learn from a diverse set of leaders and communities. We view in person convenings as an important vehicle for having deep and mutually beneficial conversations. We’re looking for an operations leader with a passion for the work and the operational skills to execute meaningful convenings that can put the world on more solid footing as we collectively grapple with the changes brought upon by AI. 

Responsibilities

• Run convening operations end-to-end. For each convening, develop invite lists and track outreach; refine presentation materials; build welcome packets and research briefs; coordinate room/travel/dinner logistics; run point for day-of facilitation support; lead post-convening communications. 

• Own systematic follow-up. Build systems to track customized post-convening support to participants as they shape and use AI in their own communities. 

• Use Claude for innovation and scale. Develop Claude based systems and tools to develop new ways of convening (Claude interviews participants before a convening to better understand their hopes) and create operational efficiency. 

You may be a good fit if you

• Find the work genuinely interesting, with a deep desire to engage diverse communities on the future of AI. 

• Have a strong track record of building scalable operational systems for new programs. 

• Have run high-touch external programs, executive convenings, or stakeholder engagement.

• Are comfortable with complex logistics that work across external organizations, internal teams, and executives.

About the role

We are looking for a strong operator to serve as the operational backbone of Anthropic's Economic Research team. Your overarching mandate is twofold: 1) “clear the brush” so our researchers can efficiently execute on key research priorities, and 2) ensure research aspirations and findings translate into concrete policy and commercial outcomes. In practice this means you will be the person who keeps the team's operating rhythm tight, synthesizes information so leadership can make good decisions quickly, and represents the team in cross-functional settings when researchers are heads-down.

Delivering on these mandates will require strong operational rigor, a broad understanding of Policy, Research, and Communications ecosystems, and a knack for forming effective partnerships both within and outside of Anthropic.

In this role, you will:

• Drive execution on the team’s research initiatives, e.g., economic index releases, economic briefs and working papers, agents research, Clio observability analyses, Anthropic interviewer deployments. This will involve a lot of information gathering and reporting while researchers are “out in the wilderness”

• Work backward from business deadlines to set research deadlines/milestones and plan out team capacity 

• Ensure smooth operating cadence and relationship touchpoints with our research ecosystem (e.g., academic collaborators, commissioned research vendors, research grantees, advisory councils)

• Partner with colleagues on Research, Public Policy, Communications, and GTM to organize briefings and campaigns that amplify key research findings

• Support the team lead in setting quarterly research priorities and resource allocation; draft monthly updates to the Policy org and broader company

• Help the team effectively grow and onboard by supporting with recruitment, onboarding, and team integration, as needed (e.g., filtering resumes, revamping onboarding materials, planning team offsites)

• Create and manage Economic Research engagement calendars to ensure strategic alignment with our policy objectives and optimal use of leadership time. Support researcher engagements at high-touch events and summits

• Maintain key information repositories that compile and organize our research results

You may be a good fit if you:

• Have a 5+ year track record managing and delivering on business-critical, cross-functional initiatives

• Have ability to quickly gain state on technical domains and “know enough” to be effective, without being a subject matter expert

• Are skilled at navigating organizational complexity, building relationships, and influencing without authority 

• Can “see around corners” and anticipate needs when supporting leaders in executing their vision, and ensuring they have the necessary resources and information to succeed

• Are highly organized with the ability to prioritize multiple tasks while maintaining a high attention to detail

• Are passionate about the intersection of frontier AI development, economic research, and policy frameworks

Sample projects:

• Build a living tracker for critical research workstreams (e.g., economic index releases, economic briefs, Anthropic Interviewer) and use it as the source of truth for last steps / next steps on p0 team projects

• Manage contracting and vendor relationships for commissioned research projects, including scoping proposals, coordinating with Legal and Procurement, and tracking deliverables through the research pipeline

• Coordinate cross-functional alignment for a major academic research partnership (e.g., an RCT studying AI adoption in firms), ensuring the right stakeholders across GTM, Product, Policy, and Comms are involved and aligned on scope, data access, and publication strategy

• Work backward from a policy campaign or research publication deadline to organize research milestones and deliverables (i.e., coordinating an Economic Index release with our Comms team)

• Support operations for research grantmaking programs, including managing application review processes, coordinating with grant recipients on contracting, and tracking disbursement and reporting timelines

• Work across the Policy org, Communications, and with executive teams to organize and plan Research presence at key external events and convenings — for example, agenda, objectives, scheduling, and logistics for an Economic Index campaign or research showcase

• Build Economic Research onboarding documentation and curriculum to support team growth; better surface key artifacts and content (as is allowable) to the broader company, for those who are interested in keeping up-to-date with Research progress

About the Anthropic Institute 

The Anthropic Institute is a new externally-facing function within Anthropic whose job is to benefit the public by giving the world new information about how the powerful AI systems we build are affecting our own company, as well as the broader economy, threat landscape, and the people and organizations that interact with our systems.

The Anthropic Institute will generate and release information about four highly societally relevant challenge areas. These are:

• How our AI systems change jobs here and elsewhere, and the economy writ large
• How the expressed personality and values and normative behaviors of our AI systems affect the people, organizations, and societies that interact with them. 
• How “closing the loop” on AI development leads to a fundamental shift in the relationship between humans and machines, both by changing how we build AI systems, and also by making AI systems potentially evolve much faster. 
• Altering the defensive and offensive capabilities available to us and people in the world, with significant impacts on national security and the balance of power.

About the role

As a Member of Analytical Staff for The Anthropic Institute, you’ll spend your time researching how Anthropic is tackling the challenges the Institute is focused on, synthesizing what you learn from across the organization, and turning that into rigorous analysis that shapes both internal decisions and public understanding.

You’ll be talking to colleagues all over Anthropic—building a picture of how different teams are approaching some of the most consequential questions in AI—and then helping the Institute communicate that work and its implications to the world. You will use Claude aggressively, creatively, and daily, to help you surface insights about what Anthropic is doing with regard to these problem areas.

Some representative projects we can imagine working on include:

• Clearly explaining the implications of automating AI research with AI systems. 
• Convening outside and internal experts to generate policy options a government may want to utilize if GDP growth rates in developed economies exceed 10% a year. 
• Learning from our customers about how using AI technology has changed their own organizations and then turning that into lessons which others can benefit from. 
• Asking and prototyping how the regulation of AI companies and AI systems could be done via AI systems themselves. 

You’ll also conduct your own research in these areas, working to utilize the AI systems you have access to at Anthropic as well as your colleagues to sharpen and improve your thinking.

What you'll do

• Research how Anthropic’s teams are working on the Institute’s challenges and synthesize findings from across the organization into a coherent picture.
• Partner with teams to help them surface their insights to the world, often working to act as the ‘connective tissue’ between them and other teams to bring different insights together.
• Produce written analysis and memos about how Anthropic is approaching these problems—for both internal leadership and public audiences. 
• Partner with relevant teams to develop and publish public outputs.
• Come up with creative ways to carry our work into the world: sometimes the most impactful way to talk about an issue is through a technical demonstration rather than a blog post or research paper (e.g, Golden Gate Claude, Project Vend, Robodog).

Who we're looking for

• 7+ years of experience in technical policy research, think tank work, or applied research in a domain relevant to the Institute's focus areas (AI, labor economics, national security, or emerging technology governance). 
• Track record of publishing or producing work for external audiences—whether policy memos, research reports, white papers, or public-facing analysis. 
• Comfort operating at the intersection of technical and policy audiences. You don't need to be an ML researcher, but you can read technical work, ask good questions of the people who produce it, and translate findings accurately for non-technical stakeholders without losing the nuance.
• Demonstrated ability to synthesize across disciplines and bodies of work. You've produced analysis that draws on economics, political science, technology, or organizational behavior—not siloed in one field.
• Deep experience using Claude as a tool for research and organizational knowledge-gathering.