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AI State Legislation

AI State Legislation

Tracking state legislative activity defining AI governance, liability, and acceptable use standards across the US.

7 entries in In-House Counsel Tracker

LawSnap Briefing Updated October 8, 2026

State of play.

  • Federal preemption pressure has intensified but remains unlegislated, while bipartisan criticism of White House inaction is creating a new political fault line. The Great American AI Act would impose a three-year freeze on new state AI development laws; simultaneously, critics from both parties argue Trump's tech-donor ties have dampened federal enforcement following AI security incidents involving OpenAI and Anthropic — a split that directly determines whether states retain room to regulate (→ Reuters: Bipartisan backlash says Trump’s Big Tech ties slowed AI action).
  • The FTC has entered the state-federal collision directly, proposing a Section 5 framework that treats undisclosed AI output steering as presumptively deceptive and specifically targets Colorado's AI Act as impliedly preempted — meaning state-law compliance is not a federal safe harbor .
  • Seven states have enacted restrictions on AI mental health chatbots, with Colorado, Maine, Rhode Island, Tennessee, and Vermont joining Illinois and Nevada in 2026 — the most active sector-specific state AI enforcement wave to date, operating entirely without federal standards (→ States tighten rules on AI therapy chatbots amid rising mental health use).
  • Texas has layered court-imposed obligations on top of TRAIGA, with the Texas Supreme Court proposing attorney certification and sanctions rules for AI-assisted filings — the first state judiciary to operationalize a comprehensive AI governance statute through procedural rules (→ Texas Supreme Court Proposes AI Misuse Rules with Sanctions and Filing Attestations).
  • For counsel advising AI developers, multi-state deployers, and regulated-industry clients, the operative picture is a three-front exposure: state sector-specific restrictions are proliferating without federal floors, the FTC's output-steering framework means state compliance does not extinguish federal risk, and the Great American AI Act's preemption scope — particularly its carve-outs — remains undefined.

Where things stand.

  • Illinois SB315 remains the compliance frontier for frontier AI developers. The law mandates independent third-party safety audits, risk disclosures, and incident reporting — obligations that go well beyond the transparency-and-notice model Colorado adopted and that no other state has yet matched .
  • Colorado's SB 26-189 is the operative statute; SB24-205 is repealed. The new law covers automated decision-making technology in consequential decisions — employment, lending, housing, insurance, healthcare, education, government services. AG-only enforcement; no private right of action. Effective January 1, 2027 .
  • Connecticut's SB 5 establishes a two-phase employer compliance clock. Beginning October 1, 2026, automated tools cannot be used as a defense against discrimination claims and WARN Act notices must disclose AI-driven layoffs. Beginning October 1, 2027, pre-decision disclosures and plain-language bot-disclosure requirements apply to any AI interacting with applicants or employees .
  • The FTC's proposed output-steering framework creates a federal enforcement layer that state compliance does not satisfy. The July 1, 2026 proposed policy statement treats undisclosed model alignment — including reinforcement learning from human feedback — as a Section 5 deception violation regardless of state-law compliance, and specifically frames Colorado's Act as impliedly preempted where it compels output alteration .
  • Seven states have enacted AI mental health chatbot restrictions with no federal floor. Colorado bars AI therapy chatbots entirely; Maine treats unauthorized AI therapy as an unfair trade practice; Rhode Island prohibits AI from making independent treatment decisions; Tennessee bars AI systems from advertising as qualified mental health professionals; Vermont prohibits AI from independently delivering mental health services; Illinois and Nevada enacted similar restrictions in 2025 (→ States tighten rules on AI therapy chatbots amid rising mental health use).
  • Texas TRAIGA is in effect and the Texas Supreme Court is layering procedural obligations on top of it. TRAIGA, effective January 1, 2026, carries civil penalties of $10,000 to $200,000 for AI misuse; the Supreme Court's proposed certification and sanctions rules target filing attorneys directly, shifting liability to the end-user rather than the developer (→ Texas Supreme Court Proposes AI Misuse Rules with Sanctions and Filing Attestations).
  • Federal preemption is the administration's stated strategy, not yet law. The Great American AI Act would freeze new state AI development laws for three years while preserving existing state authority over consumer protection, civil rights, privacy, and deployment — but the scope of that carve-out is undefined and the bill has not passed .
  • California is building AI governance through executive action and procurement. Newsom's executive order targets labor-market disruption and directs agencies to develop WARN Act amendments, severance frameworks, and worker-ownership models; earlier requirements mandate bias, content, and supply chain certifications from AI vendors contracting with the state .
  • State-level AI ownership law has broken from federal IP doctrine. Arkansas has enacted the first statute assigning ownership of AI-generated outputs to the prompt supplier — directly contradicting the human-authorship requirement left intact by the Supreme Court's denial of certiorari in Thaler v. Perlmutter .
  • West Coast chatbot disclosure laws and New York synthetic performer laws create near-term compliance deadlines, with Oregon's $1,000-per-violation private right of action as the sharpest litigation exposure for operators of AI systems designed to simulate ongoing relationships .
  • The EU Digital Omnibus on AI has reset the international compliance clock. Regulation (EU) 2026/1744 defers major high-risk obligations to December 2027 for stand-alone systems and August 2028 for AI embedded in regulated products, while August 2, 2026 transparency requirements remain in force — a material reset for any client with EU-facing AI deployments (→ EU Digital Omnibus on AI Takes Effect, Delaying Key AI Act Deadlines).

Latest developments.

Active questions and open splits.

  • Whether state-law compliance shields AI companies from FTC Section 5 enforcement. The FTC's output-steering proposal explicitly rejects state compliance as a federal defense and frames Colorado's Act as impliedly preempted — if finalized, companies face a scenario where exceeding state requirements still leaves federal exposure, and the interaction between the FTC framework and the Great American AI Act's preemption carve-outs is entirely unresolved .
  • Scope of the Great American AI Act's state-law carve-outs. The proposal preserves existing state authority over consumer protection, civil rights, privacy, and deployment — but whether that carve-out swallows the freeze for most state AI laws, or leaves a meaningful federal floor, is undefined and will be the central lobbying and drafting battleground .
  • Whether Illinois's third-party audit mandate triggers constitutional challenge. SB315's independent audit and incident-reporting requirements are the most prescriptive state obligations enacted to date; the First Amendment compulsion and Commerce Clause theories deployed against Colorado's original statute remain available, and industry has so far chosen lobbying over litigation .
  • ERISA preemption of state health insurance AI mandates. Multiple states now require human clinical override authority in AI-driven coverage decisions — whether ERISA preempts these mandates is unresolved and will be the first litigation battleground when enforcement begins .
  • Preemption vulnerability of state AI ownership laws. Arkansas's prompt-supplier ownership statute directly conflicts with the Copyright Act's human-authorship requirement and Thaler v. Perlmutter's intact precedent — clients relying on that protection face a statute that may not survive a preemption challenge .
  • Scope of Connecticut SB 5's "automated employment decision tool" definition. The non-defense provision — stripping employers of the ability to use automated tools as a discrimination defense — is novel; what qualifies as a covered tool and how courts interpret the provision is unresolved, with October 1, 2026 compliance already in effect .
  • Whether the Trump coalition split on AI safety translates into legislative movement. The bipartisan criticism of White House inaction following AI security incidents has created rare cross-aisle pressure; whether it accelerates federal safety mandates, shifts the preemption calculus, or dissipates without legislative action will determine the regulatory environment for the next cycle (→ Reuters: Bipartisan backlash says Trump’s Big Tech ties slowed AI action).

What to watch.

  • FTC finalization of the output-steering policy statement — if adopted, it resets the compliance calculus for every AI company operating under state AI laws and will immediately generate challenges to the Colorado preemption theory.
  • Great American AI Act progress — any committee movement will clarify the scope of the state-law carve-outs and signal whether the three-year freeze is a credible threat to state legislative calendars.
  • Illinois SB315 implementation guidance — what "independent third-party audit" requires in practice will set the compliance standard that other states considering similar mandates will copy or modify.
  • Connecticut SB 5 enforcement beginning October 1, 2026 — the first enforcement actions or litigation under the non-defense provision will test the scope of "automated employment decision tool" and generate the first case law on the statute.
  • California agency recommendations under Newsom's executive order — the specific WARN Act amendment proposals and severance frameworks will define the next wave of employer AI obligations.
  • Whether additional states adopt AI mental health chatbot restrictions following the seven-state wave — the absence of federal standards means the sector-specific patchwork will continue to expand, and any federal behavioral health AI guidance would immediately reshape the compliance picture.

7 Contributing Entries

OpenAI safety leader David Robinson resigns amid growing insider warnings on AI risks

Former staff from Anthropic, OpenAI, and Google DeepMind testified at a New York City Council hearing on October 5, 2026, after the companies sent representatives following a warning from the council's office that subpoenas would follow. Jacob Coxon, Daniel Kokotajlo, and Alex Turner spoke at the hearing. In a separate development, Robinson, OpenAI's former safety leader, wrote in an essay for The Atlantic that the "trial and error" approach favored by AI companies has to end, describing the wave of departures as a "parade of former colleagues" leaving over concerns about the technology or how it is used. Council Speaker Julie Menin says the council will go to court, alleging that one company is in direct violation of its subpoena.

October 11, 2026
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Trump orders federal agencies to replace "AI" with "Super Intelligence" in official use

Trump signed an executive order on September 29, 2026, directing federal agencies to use "Super Intelligence" and "SI" in official correspondence, public communications, websites, reports, policy documents, and other non-statutory materials. Agencies are also instructed to stop using "artificial intelligence" and "AI" in those settings. The order followed a White House summit with leading technology executives and comes with a voluntary agreement signed by top AI executives. It applies only to the extent current law allows.

October 10, 2026
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EU Digital Omnibus on AI Takes Effect, Delaying Key AI Act Deadlines

The EU's Digital Omnibus on AI entered into force on July 27, 2026, just three days after publication in the Official Journal. The regulation, formally designated as Regulation (EU) 2026/1744, amends the EU AI Act with targeted changes that extend compliance timelines and streamline regulatory requirements. The European Commission proposed the broader Digital Omnibus package in November 2025, and the European Parliament and Council of the EU finalized it following a provisional political deal in May 2026. The changes also expand the mandate of the EU AI Office and restructure how national and EU-level oversight operates for AI compliance.

Reuters: Bipartisan backlash says Trump’s Big Tech ties slowed AI action

The Trump administration is facing criticism from both conservative and Democratic quarters over its muted response to recent artificial intelligence security incidents allegedly involving OpenAI and Anthropic. Critics including Steve Bannon and Senator Ron Wyden argue that the White House's close ties to Silicon Valley are dampening enforcement and regulatory action on AI. The concern extends to the administration's tech-heavy staffing and the influence of major industry donors—executives and investors linked to OpenAI, Andreessen Horowitz, Google, SpaceX, and Blackstone—who have contributed over $300 million to Trump's 2024 campaign and related committees.

California’s AI transparency law takes effect, adding disclosures and detection tools

California's AI Transparency Act took effect this week, requiring major generative AI developers and online platforms to embed machine-readable provenance data in AI-generated or AI-altered images, video, and audio, along with visible disclosures and a free detection tool. The law targets OpenAI, Anthropic, Google, Microsoft, and large social platforms. State Senator Josh Becker sponsored the original bill, SB 942, which Governor Gavin Newsom signed in 2024. A follow-up measure, AB 853, delayed the enforcement date to August 2, 2026, and expanded platform obligations to include some capture-device manufacturers.

Anthropic Names Former California Supreme Court Justice Cuéllar as Policy Chief

Anthropic has appointed former California Supreme Court justice Mariano-Florentino "Tino" Cuéllar as its first chief global affairs officer, placing him in charge of policy, strategic international engagement, and government relationships worldwide. Cuéllar will report to President Daniela Amodei. The hire represents a significant expansion of Anthropic's formal policy operation at the executive level.

Norway enacts near-total ban on generative AI for elementary students aged 6–13 starting fall 2026

Norway's government has implemented a near-total prohibition on generative AI use by primary school students, effective in late August 2026. Under rules announced by Prime Minister Jonas Gahr Støre on June 19, students in grades 1 through 7 (ages 6–13) are barred from using AI tools like ChatGPT or Claude for school learning activities, including lessons and assignments. The restrictions are tiered: grades 8–10 may use AI only under direct teacher supervision, while upper secondary students (ages 17–19) are actively encouraged to develop responsible AI literacy in preparation for higher education and work.

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