The Trump Administration Is at War With Itself Over AI Regulation

The Trump Administration Is at War With Itself Over AI Regulation

When Donald Trump entered the White House for his second term, one of his earliest and most high-profile moves was to revoke his predecessor's executive order on artificial intelligence — a sweeping directive that had attempted to build a federal framework for managing the risks and opportunities of AI. The move was celebrated by many in the tech industry as a signal of deregulation and innovation-first governance. But what followed was something far messier: a full-blown internal battle over what, if anything, should replace it.

Today, administration officials and AI executives are locked in negotiations, debates, and sometimes open disagreements about how the United States should — or shouldn't — govern artificial intelligence. The stakes couldn't be higher. AI is already reshaping industries, national security, and global competitiveness, and the policy decisions made in Washington over the next few years will set the tone for decades to come.

What Was the Executive Order and Why Did Trump Kill It?

The Biden-era executive order on AI, signed in October 2023, was one of the most comprehensive federal attempts to address artificial intelligence. It required companies developing powerful AI models to share safety test results with the government, directed federal agencies to study AI's impact on labor and civil rights, and pushed the National Institute of Standards and Technology to develop safety guidelines. It was, by any measure, an ambitious effort to bring government oversight into a rapidly evolving technological landscape.

For Trump and his allies, the order represented regulatory overreach — a heavy-handed government intervention that risked slowing down American innovation at a critical moment when China was racing to close the gap in AI development. On his first day back in office, Trump signed an executive order revoking it, framing the decision as a commitment to "American AI dominance" free from bureaucratic constraints.

The announcement was greeted enthusiastically by many in Silicon Valley. Tech companies, long frustrated by compliance burdens, saw it as an open door. But within weeks, it became apparent that dismantling a regulatory framework without replacing it created a vacuum — and vacuums in Washington are almost always filled by conflict.

The Internal Divide: Who Wants What?

The fault lines within the Trump administration over AI policy are complex and don't break neatly along traditional political lines. On one side are officials and advisors who believe the federal government should stay almost entirely out of the AI space, trusting the market to self-regulate and allowing companies to move fast without interference. This camp is closely aligned with several prominent AI executives who have cultivated relationships with the administration and who argue that excessive government involvement will stifle American competitiveness.

On the other side are national security officials, military strategists, and some economic advisors who argue that AI is too important — and too dangerous — to leave entirely ungoverned. These officials worry about adversarial use of AI by foreign powers, the risks of critical infrastructure being compromised, and the long-term consequences of deploying AI systems without any accountability standards. For them, the absence of an executive order isn't a victory; it's a liability.

Then there is a third, quieter faction: career officials at agencies like the Department of Commerce and the Department of Defense who are trying to maintain continuity in AI-related programs and working groups that existed under the previous administration. Many of these officials believe that some version of federal AI coordination is both necessary and politically achievable — if only the warring factions at the top could agree.

AI Executives Caught in the Crossfire

For AI companies, the uncertainty is becoming its own kind of problem. In the absence of clear federal guidance, executives are struggling to understand what the rules of the road actually are. Some companies that had invested heavily in compliance infrastructure under the Biden executive order are now unsure whether to dismantle those systems or maintain them in anticipation of future requirements.

• Several leading AI firms have held informal meetings with White House advisors in an attempt to shape whatever policy framework eventually emerges.
• Others are lobbying Congress directly, hoping that legislation — however slow and imperfect — might provide more stable and predictable governance than executive orders that can be revoked with the stroke of a pen.
• A handful of companies have begun developing their own voluntary safety commitments, partly as a public relations strategy and partly as a hedge against the possibility that regulation is eventually coming regardless.

The situation is further complicated by the fact that not all AI executives want the same thing. Larger, established companies often benefit from regulation because compliance costs act as barriers to entry for smaller competitors. Startups and newer players tend to prefer minimal oversight. These divergent interests mean that even the "industry voice" in Washington is not a unified one.

What Comes Next for US AI Policy?

Despite the internal chaos, there are some signs that the administration is slowly moving toward articulating a coherent AI policy position. Officials have floated the idea of a lighter-touch executive order focused on promoting AI adoption in government and accelerating research and development, rather than imposing safety requirements on private companies. There is also ongoing discussion about whether sector-specific guidance — rather than a broad horizontal framework — might be a more politically viable approach.

Congress, for its part, has begun to take a more active interest in AI legislation, though the prospects for major legislation remain uncertain given the pace of technological change and the difficulty of reaching bipartisan consensus on complex technical issues.

The Bigger Picture: America's AI Leadership at Stake

Beneath the Washington infighting lies a genuinely consequential question: can the United States maintain its leadership in artificial intelligence while simultaneously ensuring that the technology is deployed responsibly? The two goals are not mutually exclusive, but achieving both requires exactly the kind of coordinated, long-term policy thinking that internal warfare makes nearly impossible.

Other major AI-developing nations — most notably China and several European Union member states — have moved ahead with their own regulatory frameworks, creating international norms that American companies operating globally must navigate regardless of what Washington decides. The longer the Trump administration remains divided, the more that global AI governance will be shaped by others.

The fight inside the Trump administration over AI regulation is, in many ways, a microcosm of a larger struggle playing out across democracies worldwide: how to govern a technology that is moving faster than any government's ability to fully understand it. Getting that balance right may be one of the defining policy challenges of this decade — and right now, the administration responsible for making those calls can't even agree among itself on where to start.