- Federal agenciesLikely accelerates removal of duplicative or obsolete federal regulations, shortening update timelines.
- Targeted stakeholdersMay improve regulatory clarity and reduce compliance complexity for businesses and agencies.
- Federal agenciesCould generate demand for AI oversight, auditing, and regulatory technology roles at federal agencies.
Leveraging Artificial Intelligence to Streamline the Code of Federal Regulations Act of 2025
Read twice and referred to the Committee on Homeland Security and Governmental Affairs.
The bill requires OMB, in consultation with NIST, to run an annual AI-driven review of the Code of Federal Regulations to identify regulations that are redundant or outdated.
Agencies must receive referrals, make final determinations within 30 days, and rescind or amend identified regulations within 30 days, bypassing otherwise applicable notice-and-comment requirements under subchapter II of chapter 5, title 5.
The AI system must meet NIST-set standards for accuracy, transparency, accountability, and national security risk.
Technically concise but legally disruptive; politically appealing to deregulatory audiences yet prompts substantial legal and bipartisan resistance.
Relative to its intended legislative type, this bill is a substantive policy change that establishes a mandatory, AI-driven annual process to identify and remove or update redundant and outdated regulations and modifies existing APA provisions to expedite agency action.
Progressives emphasize democratic participation and safeguards
Who stands to gain, and who may push back.
- Targeted stakeholdersBypasses notice-and-comment procedures, reducing formal public participation in rule changes.
- Targeted stakeholdersCreates risk that AI errors could lead to erroneous rescissions of important protections.
- Federal agenciesImposes tight 30‑day deadlines, increasing agency workload and potential for rushed decisions.
Why the argument around this bill splits.
Progressives emphasize democratic participation and safeguards
Sees potential efficiency gains but views the bill primarily as a risky deregulatory shortcut.
Concerned that AI-driven identification plus statutory bypass of notice-and-comment will erode public participation and protections for health, environment, and labor.
Views the bill as a pragmatic attempt to reduce regulatory clutter while noting important procedural and legal risks.
Supports modernization if safeguards, reasonable timelines, and congressional oversight are strengthened to avoid litigation and policy harm.
Likely welcomes the bill as a tool to accelerate deregulation, cut red tape, and remove duplicative burdens on businesses.
Supports OMB-led, tech-enabled reviews and the statutory ability to bypass slow notice-and-comment processes.
The path through Congress.
Reached or meaningfully advanced
Reached or meaningfully advanced
Still ahead
Still ahead
Still ahead
Technically concise but legally disruptive; politically appealing to deregulatory audiences yet prompts substantial legal and bipartisan resistance.
- Whether courts will allow bypass of notice-and-comment
- Practicality of 30-day agency decision and rescission timelines
Recent votes on the bill.
No vote history yet
The bill has not accumulated any surfaced votes yet.
Go deeper than the headline read.
Progressives emphasize democratic participation and safeguards
Technically concise but legally disruptive; politically appealing to deregulatory audiences yet prompts substantial legal and bipartisan re…
Relative to its intended legislative type, this bill is a substantive policy change that establishes a mandatory, AI-driven annual process to identify and remove or update redundant and outdated regulations and modifies…
Go beyond the headline summary with full stakeholder mapping, legislative design analysis, passage barriers, and lens-by-lens tradeoff breakdowns.