Measuring and responding to these changes presents challenging questions that no one entity–including AI labs–can answer. However, we believe that we can help generate the rigorous research and analysis society needs to understand the economic impacts of AI systems and to craft sound policy responses. That’s why we’re launching the Anthropic Economic Futures program, a multidisciplinary effort that builds upon our existing economic research efforts and consists of three interconnected pillars:

1. Catalyzing Independent Research and Analysis

Through research grants, API credits, and strategic partnerships, we aim to support and accelerate investigations into AI’s impact on labor, productivity, and the economy.

2. Collaborative and Evidence-Based Policy Development

Through policy symposia, we will create opportunities for researchers, policymakers, and practitioners to evaluate and exchange policy proposals backed by real-world data.

3. Expanding Economic Measurement and Data Infrastructure

We’ll scale the Anthropic Economic Index by creating one of the first longitudinal datasets on AI's economic usage, diffusion, and impact. We’ll continue to build better measurement tools and methodologies, make our data accessible through regular public releases, and produce novel economic research.

These pillars work together: better data enables better research, which in turn informs better policy. Our aim is to build a robust ecosystem for understanding and navigating AI's economic transformation.

Labor market transitions

How quickly are AI-enabled jobs emerging relative to job displacement? What are the actual flows of workers between occupations as AI adoption increases? Which sectors are seeing net job creation versus reduction? What characteristics predict successful transitions to new roles?

Human-AI complementarity

Which human skills will remain valuable as AI advances? How should education and professional licensing evolve? What new capabilities emerge when humans work alongside AI systems?

Productivity effects

Why might AI's capabilities not immediately translate to measured productivity growth? How can we accelerate beneficial adoption? Which early adopters are seeing dramatic productivity gains, and what can we learn from them?

Value creation and new industries

Where is AI enabling entirely new forms of economic value? What industries and job categories are emerging that didn't exist before? How can we measure economic gains beyond traditional productivity metrics?

Democratization of capabilities

How is AI lowering barriers to entrepreneurship and creative work? What evidence do we see of individuals using AI to compete with larger organizations? How can we quantify the economic value of democratized access to advanced capabilities?

Human capital enhancement

How can we help people leverage AI to dramatically increase their own productivity and earning potential?

Fiscal policy in an AI economy

How should tax systems adapt as AI changes the relative productivity of capital versus labor? How can we ensure states remain fiscally solvent in an era of AI-driven economic transformation?

Innovation and opportunity creation

How can policy encourage the development of new industries and job categories that AI makes possible? What regulatory reforms would unleash AI's potential for economic growth?

Managing AI’s societal impacts

How do we support entrepreneurship and risk-taking in an AI-enabled economy? How do we calibrate the social safety net to respond to potentially volatile employment patterns?

Transition support

What mix of retraining, income support, and job matching would be most effective? How can we help workers move quickly into higher-value roles that AI creates?

Accelerating beneficial adoption

What policies can reduce barriers to AI adoption for small businesses and entrepreneurs? How can we ensure the productivity benefits of AI diffuse rapidly across all sectors?

International impacts

How can we ensure that people around the world benefit from the AI-enabled economy? How might AI improve the growth and outcomes of developing economies? What are global public goods that are threatened–or could be better protected–by AI?