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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.

4 entries in Legal Intelligence 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 .
  • 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 .
  • 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 .
  • 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  • Colorado's SB 26-189 is the operative statute; SB24-205 is repealed.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 .
  • 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 .
  • 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 .

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 .

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.

4 Contributing Entries

JPMorgan's Dimon Urges Firms to Harden Cyber Defenses as AI Threats Escalate

JPMorgan Chase CEO Jamie Dimon told business leaders that cyber risk has grown since new AI models emerged, calling it the company's biggest risk "by far." In a WSJ Leadership Institute conversation with Alan Murray, he urged firms to act immediately: segment their networks, tighten identity and access management, and use their strongest AI tools to find weaknesses before attackers do. He also said companies must get better at fixing the flaws they find and should make remediation a standing item in management meetings. Dimon is focused on critical infrastructure and the supplier networks companies rely on. He chairs the Alliance for Critical Infrastructure on an interim basis. The group includes about 50 companies, among them JPMorgan and Mastercard, and he has been recruiting more CEOs to join. He has linked the escalation to Anthropic's Mythos model, saying in an October 6 Bloomberg TV interview that risk rose tenfold after Mythos. Separately, the same day brought news of doubleAI, a Tel Aviv startup backed by Nvidia, which launched Maxwell, a product it describes as a code execution model that runs inside live programs to improve performance. The company says Maxwell cut an early customer's compute costs by 67% and that it plans to charge customers a share of the savings.

October 19, 2026
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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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White House launches SI.gov and redirects AI.gov as 'Super Intelligence' rebrand advances

On October 13, 2026, the White House launched si.gov as its "Super Intelligence" portal. ai.gov now sends visitors there with a permanent 301 redirect, and deep links land on the home page. The change follows a September 29 executive order, "Inaugurating The Era Of Super Intelligence," which directs agencies to use "Super Intelligence" and "SI" in correspondence, websites, reports, and other non-statutory materials. Trump announced the rename on October 1 after a lunch with AI company leaders. OSTP Director Michael Kratsios announced the new address on X. The site is not new: it was first built under the Biden administration, and its stylesheet still carries the name "ai-gov."

October 15, 2026
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AI founders at SF Tech Week cheer Trump's voluntary, self-policing approach to AI oversight

The White House secured a voluntary AI safety pact on Oct. 1, 2026. Representatives of OpenAI, Anthropic, Meta, Google, SpaceXAI and Nvidia signed the Joint Commitment on Frontier Responsibilities, pledging internal controls and independent external auditors, according to Fortune. The pact fits a broader light-touch approach. Trump rescinded Biden's Executive Order 14110 within hours of taking office on January 20, 2025. On March 20, 2026, the White House proposed a national framework that urges Congress not to create new federal AI rule-making bodies and to preempt state laws that "impose undue burdens" on companies. Trump also named National Intelligence Director Jay Clayton and FTC Chairman Andrew Ferguson to his new "Super Intelligence Force." The administration has taken one binding step. On Oct. 9, officials announced that AI companies must notify and correct security incidents, following Anthropic's disclosure of unintended model actions involving government systems. A White House statement called the requirement "not optional" and "a critical national security obligation."

October 12, 2026
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