Anthropic forms Economic Advisory Council to guide AI labor market research
Anthropic announced the formation of an Economic Advisory Council comprising ten distinguished economists from institutions including MIT, University of Chicago, Harvard, LSE, and Yale. The council will advise on AI's impact on labor markets, economic growth, and socioeconomic systems, informing the research agenda for Anthropic's Economic Index initiative. The move signals Anthropic's intent to build credible, policy-relevant research infrastructure around AI's economic effects, targeting policymakers and business leaders as an audience.
Related guides (3)
Related events (8)
Anthropic Launches Economic Futures Program for AI Labor Market Research
Anthropic has announced the Economic Futures Program, a structured initiative to fund and coordinate research on AI's economic and labor market impacts. The program operates through three pillars: research grants (up to $50,000 per award), evidence-based policy symposia in Washington DC and London, and expansion of the Anthropic Economic Index into longitudinal datasets. It extends Anthropic's existing Economic Index work by adding grant funding, policy forums, and institutional partnerships to translate data into actionable policy proposals.
Anthropic Launches Economic Index: First Large-Scale Empirical Study of AI's Labor Market Impact
Anthropic has released the Anthropic Economic Index, an initiative tracking AI's effects on labor markets using anonymized data from approximately one million Claude.ai conversations matched to U.S. Department of Labor O*NET occupational tasks. Key findings show AI use is concentrated in software development and technical writing, with 36% of occupations seeing AI use in at least 25% of their tasks, and usage skewing toward augmentation (57%) over automation (43%). The underlying dataset is being open-sourced to enable independent research, and Anthropic is inviting economists and policy experts to contribute to the ongoing initiative. The analysis was enabled by Clio, Anthropic's privacy-preserving internal conversation analysis tool.
Anthropic partners with University of Chicago's Becker Friedman Institute on AI economic research
Anthropic announced a partnership with the University of Chicago's Becker Friedman Institute for Economics (BFI) to study AI's impact on labor markets and the broader economy. BFI faculty will receive Claude for Enterprise access, training sessions, and virtual workshops as part of the collaboration. The partnership extends Anthropic's Economic Index initiative, aiming to combine Anthropic's usage data with BFI's economic expertise to produce more rigorous analysis of AI's distributional, productivity, and labor market effects for policymakers.
Anthropic Launches The Anthropic Institute for AI Societal Impact Research
Anthropic is establishing The Anthropic Institute, a new interdisciplinary research body led by co-founder Jack Clark in his new role as Head of Public Benefit. The Institute consolidates and expands three existing Anthropic teams—Frontier Red Team, Societal Impacts, and Economic Research—to study AI's effects on economies, jobs, governance, and legal systems. Notable founding hires include Matt Botvinick (AI and rule of law), Anton Korinek (transformative AI economics), and Zoë Hitzig (AI social/economic impacts). Anthropic is simultaneously expanding its Public Policy organization and opening a Washington DC office.
Anthropic Launches Economic Futures Programme in UK and Europe
Anthropic is expanding its Economic Futures Programme to the UK and Europe, beginning with a symposium at the London School of Economics and Political Science. The programme offers research grants, API credits, and evidence-based policy forums for UK and EU researchers studying AI's effects on labor markets and productivity. Anthropic is also expanding the Anthropic Economic Index to provide more granular, Europe-specific data on AI adoption patterns across industries and regions. Country-level usage data reveals distinct adoption patterns: academic research in the UK, manufacturing support in Germany, and culture/tourism in France.
Anthropic Forms National Security and Public Sector Advisory Council
Anthropic has announced the formation of a bipartisan National Security and Public Sector Advisory Council comprising former U.S. senators, senior Defense Department officials, intelligence community leaders, and nuclear security administrators. The council will advise on high-impact government applications spanning cybersecurity, intelligence analysis, and scientific research, while supporting public-private partnerships and responsible national security AI standards. Members include former Acting Secretary of Defense Patrick Shanahan, former CIA Deputy Director David Cohen, former NSA Cybersecurity Director Dave Luber, and former NNSA administrators from both Trump and Biden administrations. The move signals Anthropic's deepening strategic engagement with U.S. government and allied democracies in the context of AI-era geopolitical competition.
Dario Amodei calls for stronger AI safety focus at Paris AI Action Summit
Anthropic CEO Dario Amodei issued a statement following the Paris AI Action Summit, expressing concern that the event underweighted critical issues including democratic leadership in AI, CBRN and autonomous-risk governance, and labor market disruption. Amodei forecasts that by 2026-2027 AI capabilities may be equivalent to 'a country of geniuses in a datacenter,' framing this as both an opportunity and an urgent governance challenge. He called for governments to enforce transparency of frontier lab safety plans, fund third-party evaluations, and monitor economic impacts—pointing to Anthropic's newly released Economic Index as a model. The statement also reaffirmed Anthropic's Responsible Scaling Policy as the first of its kind among frontier labs.
Anthropic responds to California Governor Newsom's AI working group draft report
Anthropic published a formal response to the California Governor's Working Group on AI Frontier Models draft report, endorsing its emphasis on transparency and evidence-based policy. Anthropic argues that light-touch mandatory disclosure of safety and security practices would be beneficial without impeding innovation, noting that current voluntary practices are uneven across frontier labs. The response also references Anthropic's Responsible Scaling Policy and Economic Index as examples of existing transparency efforts, and signals urgency given Anthropic's view that powerful AI systems may arrive as early as end of 2026.