AI-powered deregulation bill strips public input from rule removal
H.R. 7226 — Leveraging Artificial Intelligence to Streamline the Code of Federal Regulations Act of 2026 · Filed by Blake Moore (R-UT) · 2 cosponsors · Introduced Jan 22, 2026 · Referred to committee
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What it does
This bill requires the Office of Management and Budget, working with the National Institute of Standards and Technology, to use artificial intelligence annually to identify federal regulations that are redundant (duplicate other rules) or outdated (superseded by newer laws or technology). Once identified, agencies have 30 days to confirm the finding and then 30 days to rescind or amend the regulation—bypassing the normal public notice-and-comment process required by federal administrative law. The bill streamlines deregulation by automating the search for rules to eliminate and removing procedural safeguards that normally allow public input.
Why we flagged it
The bill's functional purpose is to accelerate the removal of federal regulations by automating their identification and bypassing public-participation requirements. While framed as 'streamlining,' it is fundamentally a deregulation mechanism that uses AI as a tool to bypass Administrative Procedure Act safeguards.
What the text implies
- AI system bias and errors in identifying 'redundant' or 'outdated' rules could result in elimination of regulations that actually serve distinct purposes or remain legally necessary, with no public recourse before removal.
- The 30-day agency review period is extremely compressed and provides no meaningful opportunity for public input, stakeholder comment, or judicial review before a regulation is rescinded.
The full analysis lists 5 implications of this text.
Who stands to gain
technology companies providing AI systems and regulatory compliance software; industries subject to heavy regulation (finance, energy, pharmaceuticals, telecommunications); consulting firms specializing in regulatory strategy and deregulation