Winning the Race: America's AI Action Plan 2025

• Authority: Federal government
• Jurisdiction: United States
• Collections: Editors' Picks;Miscellaneous documents
• Most recent activity: Enacted
• Most recent activity date: 2025-07-23

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• AI system security vulnerabilities
• Disinformation, surveillance, and influence at scale
• Cyberattacks, weapon development or use
• Fraud, scams, and targeted manipulation
• Competitive dynamics
• Governance failure
• AI possessing dangerous capabilities
• Lack of capability or robustness
• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Compromise of privacy
• False or misleading information
• Increased inequality and decline in employment
• AI pursuing its own goals

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 10-12 subdomains, with strong focus on malicious actors (4.1, 4.2, 4.3), AI system security (2.2), competitive dynamics (6.4), governance failure (6.5), and AI safety failures (7.1, 7.2, 7.3, 7.4). Coverage is concentrated in security, misuse prevention, national security, and AI safety domains, with minimal attention to discrimination, privacy, or socioeconomic impacts.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Trade, Transportation & Utilities
• Information
• Scientific Research & Development Services
• Educational Services
• Public Administration (excl. National Security)
• National Security

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Agriculture, Mining, Construction & Manufacturing
• Finance & Insurance
• Professional & Technical Services
• Management, Administrative & Support Services
• Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

This Federal government action plan governs AI use across multiple sectors, with strongest coverage in Public Administration (Federal agencies), National Security (DOD, IC), Information (AI developers, telecommunications), and Scientific Research and Development. It also addresses Healthcare, Education, Finance, Professional Services, and Manufacturing through specific policy actions and regulatory guidance.

Legislative Status

Other

Legislative Status Summary

This is a Federal government policy action plan that outlines recommended policy actions across multiple agencies. It uses predominantly directive language ('should', 'must', 'will') but lacks formal enforcement mechanisms, penalties, or binding legal obligations. It represents executive branch policy guidance rather than hard law or purely voluntary soft law.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Federal government; Trump Administration; Office of Science and Technology Policy (OSTP); Office of Management and Budget (OMB); National Science and Technology Council (NSTC)
• Summary: The document is a Federal government action plan proposed by the Trump Administration, with coordination led by OSTP and OMB across multiple Federal agencies.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_Infrastructure_Provider, AI_Governance_Actor
• Entities: frontier large language model (LLM) developers; startups; hyperscalers; leading technology companies; Federal agencies; states; businesses; cloud service providers; semiconductor manufacturing facilities; data centers; American AI developers; nucleic acid synthesis providers
• Summary: The document targets multiple entity types including AI developers (especially frontier model developers), Federal agencies implementing AI, infrastructure providers (hyperscalers, cloud providers), and states with AI regulations. It also targets businesses adopting AI and specific sectors like semiconductor manufacturing.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Office of Management and Budget (OMB); Federal Trade Commission (FTC); Department of Commerce (DOC); National Institute of Standards and Technology (NIST); Department of Defense (DOD); Department of Homeland Security (DHS); Food and Drug Administration (FDA); Securities and Exchange Commission (SEC); Federal Communications Commission (FCC); Office of the Director of National Intelligence (ODNI); Department of Justice (DOJ)
• Summary: Multiple Federal agencies are designated as enforcers with specific authorities including OMB for regulatory oversight, FTC for investigations, DOC/NIST for standards, DOD for defense applications, DHS for cybersecurity, and regulatory agencies like FDA and SEC for sector-specific enforcement.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: National Institute of Standards and Technology (NIST); Center for AI Standards and Innovation (CAISI); Department of Commerce (DOC); Department of Labor (DOL); Bureau of Labor Statistics (BLS); Census Bureau; Bureau of Economic Analysis (BEA); AI Workforce Research Hub; Chief Artificial Intelligence Officer Council (CAIOC); Office of the Director of National Intelligence (ODNI); Department of Homeland Security (DHS); AI Information Sharing and Analysis Center (AI-ISAC)
• Summary: Monitoring responsibilities are distributed across multiple agencies with NIST/CAISI leading AI system evaluations, DOL/BLS monitoring workforce impacts, CAIOC coordinating interagency AI adoption, and DHS/AI-ISAC monitoring security threats. The document establishes new monitoring bodies like the AI Workforce Research Hub.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

No lifecycle stages identified.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

No technical scope terms identified.