Is there one federal US AI law that replaces state AI rules?

No. The U.S. still has no single EU-style AI Act that removes state power. Federal agencies set baselines, but US state AI laws 2026 remain the day-to-day layer for hiring, privacy, chatbots, and consequential decisions.

Which states matter most right now?

California, Colorado, Connecticut, Texas, New York (NYC LL 144 + RAISE Act), Illinois, and Utah. Virginia is a watch state for privacy/deepfakes, not a top comprehensive high-risk driver.

What happened to the original Colorado AI Act?

It was repealed and replaced by SB 26-189 (signed May 2026). The new ADMT framework is narrower, focuses more on notices/human review/adverse disclosures, and pushes key obligations to January 1, 2027.

When do Connecticut's new AI rules start?

The CART Act / SB 5 uses staggered dates beginning October 1, 2026, with additional duties in 2027 and into 2028. Map each use case to the exact phase that applies.

Do I have to disclose AI chatbots and companions?

Often yes. Utah has generative AI disclosure rules; Connecticut adds companion disclosure and safety protocols on a phased timeline. Clear labeling also reduces FTC-style deception risk.

What counts as high-risk or consequential AI?

Systems that materially influence jobs, school, housing, health access, credit, insurance, or essential services. If the tool can help approve, deny, rank, or limit someone, treat it as priority under US state AI laws 2026.

Who is liable the vendor or my company?

Often both. Developers owe design/documentation/frontier duties; deployers owe notices, oversight, and lawful use. Contracts help allocate work but rarely erase statutory duties.

Are bias audits required for hiring AI?

For covered NYC AEDTs, yes (independent audit, public summary, notices). Other states may require assessments/notices instead of the same audit model, still treat LL 144 as the practical vendor baseline.

Do small businesses need to comply?

Yes when AI touches hiring, multi-state support, companions, or material automated decisions affecting regulated-state residents. Risk and residency usually matter more than headcount.

What is the fastest way to reduce enforcement risk?

Inventory systems (including shadow AI), disclose bots, stop sole automated adverse decisions, collect vendor compliance packets, and document human review. Those five steps cover most practical exposure under US state AI laws 2026.

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