US AI policy is a clumsy mess. Here’s what to do about it.

· Source: Marcus on AI · Field: Government & Public Sector — Public Policy & Governance, Regulatory & & Compliance · Depth: Fundamental Awareness, quick

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

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

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, Legal Professional, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by Marcus on AI.