White House considers FDA-style approval process for AI models

The Trump administration is weighing an executive order requiring federal approval of new AI models before release, similar to FDA drug oversight. No timeline has been set.

Categorized in: AI News Government
Published on: May 07, 2026
White House considers FDA-style approval process for AI models

White House Considers FDA-Style Approval Process for AI Models

The Trump administration is weighing an executive order that would require government approval before companies release new artificial intelligence models, modeled after how the FDA regulates pharmaceuticals. The White House's top economic advisor disclosed the plan Wednesday.

The proposal would give federal regulators authority to review AI systems before deployment, similar to drug approval timelines and safety standards. No timeline for the executive order has been announced.

Commerce Department Expands Testing Requirements

The Commerce Department is already moving forward with AI oversight. On Tuesday, it signed agreements with Google, Microsoft, and xAI to test their frontier AI models for national security implications.

These testing arrangements suggest the government is preparing infrastructure for broader oversight before any formal regulatory framework takes effect.

What This Means for Government Workers

If implemented, the FDA model would fundamentally change how agencies evaluate and adopt AI tools. Government technology teams would need to understand approval timelines and safety requirements before integrating new systems into operations.

The shift also signals that policymakers are treating AI deployment as a public safety issue comparable to medical devices and drugs. For those in government roles, this means familiarizing yourself with how AI regulation could affect procurement, vendor selection, and internal tool development.

Learn more about AI for Government and how policy changes affect implementation. Government decision-makers should also consider the AI Learning Path for Policy Makers to understand the regulatory landscape shaping these decisions.


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