The White House has introduced a new artificial intelligence (AI) policy framework that aims to establish federal regulations overriding state-level AI laws. The move reflects ongoing efforts by the administration of Donald Trump to create a unified national approach to AI governance, though similar attempts in the past have faced resistance in Congress.
The proposed framework emphasises the need for a single, nationwide regulatory system for AI.
The White House stated:
“Importantly, this framework can succeed only if it is applied uniformly across the United States,”
It further warned:
“A patchwork of conflicting state laws would undermine American innovation and our ability to lead in the global AI race.”
Efforts to override stricter state-level AI regulations have previously struggled to gain approval in Congress, including during the passage of the “One Big Beautiful Bill.”
The framework proposes stronger protections for children in the digital ecosystem.
The framework addresses concerns around the rising energy consumption of AI infrastructure, particularly data centres.
The framework advocates for fewer restrictions on AI software development.
The proposal takes a cautious stance on government involvement in content moderation.
The White House stated:
“Congress should prevent the United States government from coercing technology providers, including AI providers, to ban, compel or alter content based on partisan or ideological agendas,”
This position contrasts with other legislative efforts, such as proposals to amend Section 230, which governs platform liability for user-generated content.
The framework adopts a relatively flexible stance on copyright issues.
The White House stated:
“Although the Administration believes that training of AI models on copyrighted material does not violate copyright laws,”
A central aspect of the proposal is ensuring that federal law overrides state AI regulations.
The framework suggests states should not:
This approach raises concerns about accountability, especially in cases where AI tools are misused for harmful or illegal activities.
Samir Jain, Vice President of Policy at the Center for Democracy and Technology, highlighted inconsistencies in the framework.
He stated:
"The White House’s high-level AI framework contains some sound statements of principles, but its usefulness to lawmakers is limited by its internal contradictions and failure to grapple with key tensions between various approaches to important topics like kids’ online safety.
It rightly says that the government should not coerce AI companies to ban or alter content based on ‘partisan or ideological agendas,’ yet the Administration’s ‘woke AI’ Executive Order this summer does exactly that.
On preemption, the framework asserts that states should not be permitted to regulate AI development, but at the same time rightly notes that federal law should not undermine states’ traditional powers to enforce their own laws against AI developers.
States are currently leading the fight to protect Americans from harms that AI systems can create, and Congress has twice correctly decided not to pursue broad preemption."
Despite the ambitious scope of the framework, its implementation depends heavily on Congressional approval.
Given the reluctance of lawmakers to relinquish state-level authority over AI regulation, it remains unclear how much of the proposal will ultimately become law.
The White House’s proposed AI policy framework represents a significant push toward establishing a unified national approach to artificial intelligence regulation in the United States. By advocating for federal oversight that overrides state laws, the administration aims to reduce regulatory fragmentation and strengthen the country’s position in the global AI race.
However, the proposal also raises complex questions around accountability, free speech, copyright, and the balance of power between federal and state governments. While the framework outlines ambitious goals for innovation and governance, its success will depend on political consensus and the ability to address inherent contradictions. As AI continues to evolve rapidly, the debate over how best to regulate it is likely to remain a central policy challenge in the years ahead.