Across the country, state legislatures are moving quickly to regulate artificial intelligence in the workplace. California’s proposed SB 947 – the Automated Decision Systems in the Workplace – introduced in the California Legislature on February 2, 2026, is one prominent example, but it is part of a broader trend: laws that seek to govern how employers may adopt, deploy, and rely on AI-driven tools when making employment-related decisions.
Other proposed AI-related legislation underscores how rapidly this movement is accelerating. For example, SB 951—the California Worker Technological Displacement Act—would require employers to provide at least 90 days’ advance notice before layoffs caused by “technological displacement.” In addition, the California Labor Federation has publicly stated that it will sponsor or support more than two dozen bills this year focused on the impact of artificial intelligence on workers in California.
While these bills are typically framed as worker-protection measures, they reflect a deeper and unresolved policy tension—whether AI in the workplace should be regulated piecemeal at the state level, or whether regulation must occur at the federal level to avoid a patchwork of rules that materially hinder innovation, adoption, and economic growth.
Using SB 947 as a case study, it becomes clear that many of these proposals proceed from the same assumptions and raise the same structural problems.
At a high level, bills like SB 947 seek to regulate...
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