TLDR: In the absence of comprehensive federal oversight, U.S. states are proactively establishing their own regulatory frameworks for artificial intelligence. All 50 states have introduced AI-related legislation in 2025, focusing on critical areas such as government AI use, healthcare applications, facial recognition, and generative AI, despite potential challenges from a fragmented regulatory landscape and federal funding policies.
As artificial intelligence rapidly transforms various sectors, from healthcare to finance, U.S. states are stepping into the regulatory void left by a lack of robust federal legislation. Following the defeat of a proposed moratorium on state-level AI regulation in Congress, states are now free to implement their own guardrails, with all 50 states introducing various AI-related legislation in 2025.
The push for state-level regulation stems from growing concerns over AI’s ethical implications and potential risks, including issues of accountability, transparency, and bias. AI systems, capable of autonomous decision-making, necessitate oversight to prevent the perpetuation of inequalities or harmful consequences for individuals and society.
State initiatives are primarily concentrating on four key areas: government use of AI, AI in healthcare, facial recognition, and generative AI. In the public sector, where predictive AI is used for functions like social services eligibility and criminal justice recommendations, states are emphasizing transparency and consumer protections to mitigate algorithmic harms such as racial and gender biases. Several states now require AI developers to disclose risks associated with their systems.
Specific examples of state action include:
California’s Consumer Privacy Act (CCPA), which incorporates provisions for AI and data privacy, mandating businesses to disclose when AI is used in decisions affecting consumers.
New York has established an AI and Automated Systems Task Force to study AI’s impact on the state’s economy and workforce, tasked with developing regulatory recommendations. The state’s SB 8755 bill also outlines oversight and regulatory authority.
Colorado’s Artificial Intelligence Act imposes transparency and disclosure requirements on developers and deployers of AI systems involved in consequential decisions.
Montana’s new ‘Right to Compute’ law mandates AI developers to adopt risk management frameworks for AI systems used in critical infrastructure.
Utah’s Artificial Intelligence Policy Act requires clear disclosure when generative AI systems are used to interact with individuals, upon request.
The healthcare sector has seen significant legislative activity, with 34 states introducing over 250 AI-related health bills in the first half of 2025. These bills generally address disclosure requirements, consumer protection, and the use of AI by insurers and clinicians. Furthermore, by the end of 2024, 15 states had enacted laws to limit potential harms from facial recognition technology, often including requirements for vendors to publish bias test reports and data management practices, alongside the need for human review.
While state-level regulations offer crucial oversight and opportunities for experimentation, they also present challenges. The emergence of a patchwork of laws across different states could lead to compliance burdens and conflicting requirements for companies operating nationwide. Adding to this complexity, the Trump administration’s AI Action Plan, announced on July 23, 2025, states that ‘The Federal government should not allow AI-related Federal funding to be directed toward states with burdensome AI regulations,’ potentially hindering state efforts if they must weigh regulations against federal funding needs.
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Despite these hurdles, experts like Anjana Susarla of Michigan State University note that states are laying the groundwork for a regulatory framework that balances technological advancement with ethical considerations, providing valuable insights for future AI governance.
