Anthropic has announced a public initiative called 'Hard Questions' inviting people to submit their most pressing concerns about AI's effects on jobs, society, families, and scientific progress. The initiative builds on prior large-scale public research including a 52,000-person U.S. survey (Anthropic Public Record), an 81,000-user global survey via Anthropic Interviewer, and in-person focus groups. Anthropic commits to publicly tracking and reporting actions taken in response to submitted questions, framing this as part of its Public Benefit Corporation mission. The initiative also introduces the Anthropic Institute as an internal research effort focused on AI's societal challenges.
Anthropic released results from its first Anthropic Public Record survey, a nationally representative poll of nearly 52,000 Americans conducted in November–December 2025. Key findings: 64% fear AI-induced job loss (top fear in every state), 56% fear cognitive dependency, over 70% support government regulation of AI, and only 15% trust AI companies to self-govern. The survey found broad bipartisan consensus on AI concerns and accountability, with Americans prioritizing legal liability for AI companies and safety over growth. Anthropic plans to repeat the survey regularly and expand internationally.
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 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 announced a funded initiative to source third-party evaluations measuring advanced AI capabilities and safety risks, with priority areas including cybersecurity, CBRN threats, model autonomy, national security risks, social manipulation, and misalignment. The initiative is tied to Anthropic's Responsible Scaling Policy and AI Safety Level (ASL) framework, aiming to address a gap between demand and supply of high-quality safety-relevant evals. Proposals are solicited via an application form, with Anthropic framing the effort as benefiting the broader AI safety ecosystem rather than just internal use.
Anthropic has released a policy document describing their evolving framework for assessing and mitigating AI harms across five dimensions: physical, psychological, economic, societal, and individual autonomy impacts. The framework complements their existing Responsible Scaling Policy and informs decisions on usage policies, red-teaming, detection, and enforcement. Concrete examples include safeguards for computer use capabilities (fraud, phishing) and a reported 45% reduction in unnecessary refusals in Claude 3.7 Sonnet through improved handling of ambiguous prompts. Anthropic frames this as a work-in-progress and invites collaboration from the broader AI ecosystem.
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 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.
Anthropic is contributing $20 million to Public First Action, a new bipartisan 501(c)(4) organization focused on AI governance and public education. The donation is intended to support policies including AI model transparency requirements, a federal AI governance framework, export controls on AI chips, and targeted regulation of high-risk AI applications such as bioweapons and cyberattacks. Anthropic frames the move as consistent with its safety mission, noting that effective AI governance would increase scrutiny of frontier AI companies including itself. The organization is led by both Republican and Democratic strategists and will work across party lines.