# United States - **Record type**: Jurisdiction profile - **Short name**: US - **ISO code**: US - **Type**: country - **Region**: Americas / Northern America ## In brief The United States has 5 recorded AI policy instruments, 3 of them binding and 3 in force. Federal: executive-branch policy (Executive Order 14179 of January 2025 and the July 2025 AI Action Plan) plus binding OMB requirements for federal agencies' use and procurement of AI; NIST AI RMF is voluntary. The United States has no comprehensive federal AI statute. ## Overview The United States has no comprehensive federal AI statute. Federal policy is set through executive orders, Office of Management and Budget (OMB) memoranda for federal agencies, agency enforcement under existing consumer-protection, civil-rights, employment and financial laws, and voluntary frameworks such as the NIST AI Risk Management Framework. States have moved faster: Colorado enacted the first cross-sector algorithmic-discrimination law in 2024, and California, Texas, Utah and others have adopted AI-specific statutes on transparency, frontier models, chatbots and government use. The result is a patchwork that organisations must map state by state and sector by sector. ## Regulatory status Federal: executive-branch policy (Executive Order 14179 of January 2025 and the July 2025 AI Action Plan) plus binding OMB requirements for federal agencies' use and procurement of AI; NIST AI RMF is voluntary. States: a growing number of binding statutes with 2025–2026 effective dates. A reviewer must confirm the status of federal efforts to pre-empt or discourage state AI laws announced in late 2025. ## What is binding and what is guidance Binding on the private sector: state statutes (for example Colorado SB 26-189, California SB 53, Texas HB 149), sector laws (FCRA, ECOA, Title VII, HIPAA, FTC Act Section 5) as applied to AI. Binding on federal agencies: OMB memoranda M-25-21 and M-25-22. Voluntary: NIST AI RMF and its Generative AI Profile. ## Current priorities Federal deregulatory agenda and infrastructure build-out under the AI Action Plan, agency AI use-case inventories and procurement rules, state implementation of algorithmic-discrimination and frontier-model transparency laws, and litigation and enforcement by state attorneys general and the FTC on deceptive AI claims. ## Regulators - National Institute of Standards and Technology (NIST) — Voluntary frameworks and standards — https://www.nist.gov/itl/ai-risk-management-framework - Office of Management and Budget (OMB) — Federal agency AI use and procurement policy — https://www.whitehouse.gov/omb/ - Federal Trade Commission (FTC) — Consumer protection and unfair or deceptive AI practices — https://www.ftc.gov/ ## How to use this profile - Map the states where your users or employees are located; state law, not federal law, creates most binding AI duties. - Treat NIST AI RMF as the common vocabulary for governance evidence that regulators and customers recognise. - If you sell to the federal government, align with OMB M-25-21 and M-25-22 requirements for high-impact AI. - Apply existing anti-discrimination, consumer-protection and privacy laws to AI decisions; they are enforced today. - Check effective dates carefully; several state laws were delayed or amended after enactment. ## Official sources - NIST AI Risk Management Framework (AI RMF 1.0) — National Institute of Standards and Technology — https://www.nist.gov/itl/ai-risk-management-framework - Executive Order 14179: Removing Barriers to American Leadership in Artificial Intelligence — The White House — https://www.whitehouse.gov/presidential-actions/2025/01/removing-barriers-to-american-leadership-in-artificial-intelligence/ - America's AI Action Plan — The White House / Office of Science and Technology Policy — https://www.ai.gov/action-plan ## Instruments recorded for this jurisdiction (5) - **Executive Order 14179: Removing Barriers to American Leadership in Artificial Intelligence** — Executive order, In force, binding - Record: https://aipolicytracker.org/policies/us-executive-order-14179 - Context file: https://aipolicytracker.org/policies/us-executive-order-14179.md - **Executive Order 14365: Ensuring a National Policy Framework for Artificial Intelligence** — Executive order, In force, binding - Record: https://aipolicytracker.org/policies/us-executive-order-14365-national-policy-framework-for-ai - Context file: https://aipolicytracker.org/policies/us-executive-order-14365-national-policy-framework-for-ai.md - **NIST AI Risk Management Framework (AI RMF 1.0) and Generative AI Profile** — Framework, Voluntary standard, non-binding - Record: https://aipolicytracker.org/policies/us-nist-ai-rmf - Context file: https://aipolicytracker.org/policies/us-nist-ai-rmf.md - **OMB Memorandum M-25-21: Accelerating Federal Use of AI through Innovation, Governance, and Public Trust** — Guidance, In force, binding - Record: https://aipolicytracker.org/policies/us-omb-m-25-21 - Context file: https://aipolicytracker.org/policies/us-omb-m-25-21.md - **Winning the Race: America's AI Action Plan** — National strategy, Adopted, non-binding - Record: https://aipolicytracker.org/policies/us-winning-the-race-america-s-ai-action-plan - Context file: https://aipolicytracker.org/policies/us-winning-the-race-america-s-ai-action-plan.md ## Provenance - **Record page**: https://aipolicytracker.org/jurisdictions/us - **Official source**: https://www.ai.gov/ - **Source document**: AI.gov — United States federal AI policy hub - **Published by**: Office of Science and Technology Policy - **Review status**: verified - **Confidence**: medium - **Facts last confirmed**: 2026-09-26 - **Confirmed by**: Bhaskar Bhatt (see https://aipolicytracker.org/reviewers) - **Retrieved**: 2026-10-27 - **Licence**: https://creativecommons.org/licenses/by/4.0/ > This record is a structured summary with a link to the official text. 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