White House sends AI legislative framework to Congress amid state-level efforts

The Trump administration's seven-point blueprint aims to preempt a patchwork of state AI laws, with implications for tech and crypto companies navigating regulatory uncertainty.

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Add us on Google by Editorial Team May. 31, 2026

The Trump White House released its National Policy Framework for Artificial Intelligence on March 20, 2026, sending Congress a legislative blueprint designed to establish federal standards that would override state-level AI regulations. The framework covers seven core areas and represents the administration’s clearest signal yet that it wants a single, unified rulebook for the AI industry rather than 50 different ones.

What the framework actually covers

The seven objectives span child protection, AI infrastructure security, intellectual property rights, free speech preservation, and workforce development. These aren’t regulations themselves. They’re recommendations to Congress, a legislative wish list that lawmakers would need to turn into actual bills.

The framework is non-binding. Existing state regulations in places like California and New York remain fully in effect until and unless Congress acts on any of these recommendations.

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The document builds on two prior administration actions. An AI Action Plan published in July 2025 laid out the administration’s general vision. Then a December 11, 2025 executive order specifically directed the creation of this framework.

David Sacks, who served as the White House’s Special Advisor for AI and Crypto, played a central role in developing these policies before his transition out of the role on March 26, 2026.

The state-level problem the White House wants to solve

The core argument behind the framework is straightforward: if every state writes its own AI rules, companies will spend more time on compliance lawyers than on building products. California has been particularly aggressive in pursuing AI-specific legislation, and New York has its own distinctively stringent approach to tech regulation.

The EU’s AI Act, which began taking effect in stages, gave European companies and regulators a single framework to work with. China has similarly consolidated its AI governance under national-level directives. The US, by contrast, has been operating without comprehensive federal AI legislation, leaving states to fill the void on their own terms.

What this means for investors

The document does not directly address digital assets or blockchain-specific AI applications. Given that Sacks held a combined AI and crypto advisory role, the absence of crypto-specific provisions is conspicuous. It suggests that digital asset regulation may continue to follow its own separate legislative track, leaving blockchain companies in a regulatory gray zone even if AI companies get clearer rules.

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