June 2026

The First Major U.S. AI Law Was Supposed to Start This Month. It Just Got Delayed.

Colorado passed the country's first comprehensive AI law in 2024. Weeks before its June 30 start date, the state pushed it to 2027 and scaled it back.

In 2024, Colorado passed the Colorado Artificial Intelligence Act (SB24-205), the first comprehensive, state-level law in the United States aimed at "high-risk" AI systems. It drew national attention as a possible template for how other states might regulate AI.

The law targets algorithmic discrimination: AI making or heavily influencing consequential decisions about people in areas like employment, education, financial services, healthcare, housing, insurance, and legal services. It puts obligations on two groups, developers who build these systems and deployers who put them to use.

Both would have to use "reasonable care" to protect consumers from foreseeable discrimination. In practice that means testing systems, documenting how they work, and disclosing when AI is used to make important decisions. The law offered a rebuttable presumption of reasonable care to organizations that followed a set of specified practices.

The twist. On May 14, 2026, Governor Jared Polis signed SB 189, which delayed the effective date from June 30, 2026 to January 1, 2027 and significantly scaled back the original requirements. After two years of debate, the most ambitious AI law in the country was softened and pushed back just weeks before it was supposed to begin.

Why the delay? Businesses, startups, and parts of the AI industry argued the rules were too broad, too costly, and unclear, especially for smaller companies. Supporters countered that these protections are exactly what consumers need as AI moves into hiring, lending, and healthcare. Lawmakers split the difference: more time, and a narrower scope.

Why this matters for students. AI regulation is coming, but it is slow, contested, and messy. If you are heading into HR, finance, insurance, healthcare, or any field that uses AI to make decisions about people, "high-risk AI" compliance will likely be part of your job. Understanding the difference between a developer and a deployer, and what algorithmic discrimination actually means, is turning into a real professional skill, not just a legal footnote.

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