US AI policy is a clumsy mess. Here’s what to do about it.
Summary
The United States currently faces a fragmented landscape of AI regulation, with approximately 1,200 AI-related bills introduced and about 150 enacted into law, yet lacking a cohesive national policy. This regulatory disarray negatively impacts both businesses and consumers. Jeffrey Sonnenfeld, Stephen Henriques, and the author propose a new framework in a Fortune essay, published May 15, 2026. Their objective is not to endorse specific legislation but to establish a structured approach for policymakers. This framework aims to guide state legislators, Congress members, and federal agencies in asking pertinent questions in a logical sequence, thereby preventing further proliferation of uncoordinated legislation and the hardening of an ill-conceived regulatory patchwork.
Key takeaway
For Policy Makers developing AI legislation, the current fragmented approach with 1,200 bills is unsustainable and detrimental. You should prioritize adopting a coherent policy framework to ensure that legislative efforts are coordinated and address critical questions systematically. This proactive step will prevent the hardening of an unmanageable regulatory patchwork, fostering a more stable environment for AI innovation and deployment.
Key insights
A coherent AI policy framework is crucial to avoid regulatory chaos and benefit both businesses and consumers.
Principles
- Structured questioning improves policy.
- Fragmented policy harms stakeholders.
Method
The proposed framework guides policymakers to ask the "right questions" in the "right order" to prevent uncoordinated legislation and a hardened, poorly designed regulatory patchwork.
In practice
- Review existing AI legislation.
- Prioritize framework development.
Topics
- US AI Policy
- AI Regulation
- Policy Framework
- Legislative Strategy
- Federal Agencies
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Editorial summary, takeaway, and curation by AIssential. Original article published by Marcus on AI.