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National Policy Framework for Artificial Intelligence
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National Policy Framework for Artificial Intelligence

National Policy Framework for Artificial Intelligence

Last refreshed: 15 May 2026

Key Question

Is the Trump AI framework designed to preempt worker protections, or does it just prioritise AI competitiveness?

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Common Questions
What is the National Policy Framework for Artificial Intelligence?
The NPF is a Trump administration executive policy document published 20 March 2026 setting the federal AI governance posture: prioritising deployment speed and preempting state-level AI regulations. It does not have the force of law but directs federal agencies to challenge state AI laws inconsistent with the administration's competitiveness priorities.Source: Trump administration, 20 March 2026
Can the Trump AI framework block California's AI labour laws?
The NPF directs federal agencies to preempt state AI regulations, and the AG AI Task Force was established to pursue legal challenges against state laws. Whether a federal executive policy directive can override state law ultimately depends on courts, as preemption requires a statutory or constitutional basis, not just executive direction.Source: NPF, March 2026 / constitutional preemption doctrine
How does the US National AI Policy Framework compare to the EU AI Act?
The EU AI Act imposes mandatory pre-deployment obligations — risk assessments, human oversight, worker rights — for high-risk AI in employment. The US NPF takes the opposite approach: it defers to market self-regulation, prioritises speed, and actively tries to prevent states from enacting obligations resembling the EU's.Source: EU AI Act 2024/1689; Trump NPF March 2026

Background

The National Policy Framework for Artificial Intelligence (NPF) is a federal policy document published by the Trump administration on 20 March 2026. It establishes the administration's strategic approach to artificial intelligence governance: prioritising AI development and commercial deployment speed while reducing regulatory barriers. The NPF does not carry the force of law — it is an executive policy directive — but it instructs federal departments and agencies to align their rulemaking and enforcement posture with the administration's AI development priorities.

A central provision of the NPF is its instruction to federal agencies to preempt state and local AI regulations that, in the administration's view, create inconsistent requirements that impede national AI competitiveness. This preemption directive is aimed specifically at the emerging patchwork of state-level AI labour, transparency, and accountability laws that have proliferated in California, Colorado, New York, and other states since 2024. The NPF frames state AI laws as a competitive liability relative to China and the European Union.

The NPF is distinct from the EU AI Act approach in almost every dimension: where the EU act imposes mandatory ex-ante requirements (risk assessments, transparency obligations, human oversight) before deployment, the NPF prioritises post-incident enforcement and defers to market self-regulation where possible. The contrast has become a reference point in international debates about AI governance divergence.

The NPF's preemption directive is the most consequential federal policy development for US AI employment law in 2026. By instructing agencies to challenge state-level AI labour protections — including California's proposed SB 951 — the administration is effectively capping the regulatory floor that US workers can expect when facing AI-driven restructuring. The Attorney General's AI Task Force, established 9 January 2026, is the enforcement vehicle for this preemption strategy.

The NPF's posture stands in direct contrast to the EU's approach: while Brussels tightened Annex III obligations for AI used in employment decisions, Washington's federal framework is actively trying to prevent US states from reaching equivalent standards.