Proactive Response to Economic Change Amid AI Proliferation
Three-Axis Strategy of Evidence-Based Research, Policy Development, and Data Accumulation
June 27, 2025: Anthropic officially announced a new project to respond to the proliferation of AI affecting labor markets and global economic structure -- the "Economic Futures Program." The goal: analyzing through empirical data how AI is affecting jobs, how it is changing productivity, and how it is creating new economic value -- and presenting policy solutions. Three strategic pillars: (1) Research support to researchers and academia -- funding empirical studies examining actual AI economic impact; (2) Forum operation for practical policy development -- convening policymakers, labor representatives, business leaders, and researchers to develop policy frameworks; (3) Data building to quantify AI economic effects -- developing the Economic Index that tracks how AI is being used in the economy in measurable ways. The Economic Index foundation: Anthropic has been operating the "Economic Index" tracking how AI is actually being used in industrial settings and showing what changes AI adoption brings to employment and work across various fields -- the Economic Futures Program builds on this foundation to translate observations into policy recommendations. Why an AI company is doing economics research: Anthropic framing positions this as responsible AI development -- a company that develops technology with large economic impacts has an obligation to understand those impacts; this approach also serves Anthropic interests by generating evidence that AI economic impacts are manageable and that Anthropic is contributing to solutions rather than creating problems without acknowledgment; the program may also help Anthropic navigate regulatory environments where evidence of socially responsible behavior influences treatment by regulators. The policy output: the program aims to influence labor policy (retraining programs, safety net design), education policy (curriculum preparation for AI-augmented work), and technology policy (AI deployment standards that account for economic disruption).
