White House AI and crypto czar David Sacks said the Trump administration is responding to the anxieties around artificial intelligence “with rationality rather than panic.” He argued that much of the current debate is emotional rather than evidence-based, and that overregulation would hand the AI race to geopolitical rivals. Sacks outlined a dual-track approach: aggressive innovation plus targeted guardrails for frontier models.

What Happened

Sacks’s Policy Remarks

Speaking at a Washington think tank event, Sacks said: “There is a lot of panic in the current AI debate — part of it comes from not understanding what the technology can actually do, and part of it comes from commercial competitors who benefit from slowing others down.” He said the administration’s AI policy would pursue “deregulation plus targeted safety guardrails” rather than the precautionary model favored by Brussels.

Draft Executive Order

According to people familiar with the matter, the White House is drafting a new AI executive order that would: repeal several Biden-era AI requirements, create a lightweight evaluation regime for frontier models, and direct federal agencies to accelerate AI adoption. Sacks said the new framework will rely on “post-hoc accountability” rather than pre-deployment approval.

Industry Reaction

Major AI labs welcomed Sacks’s framing. Representatives of OpenAI, Anthropic and other frontier-model developers told reporters at a recent closed-door meeting that lighter regulation would help the U.S. preserve its lead, but called on the administration to clarify the boundaries of chip export controls and data usage rules.

The Bigger Picture

Sacks’s remarks crystallize the Trump administration’s AI philosophy: innovation-first, with safety at the margins. Three implications stand out:

For the industry, lighter rules will compress product launch cycles and lower compliance costs, especially in verticals like medical diagnostics, autonomous driving, and AI coding assistants where startups have struggled under the previous regime.

For transatlantic relations, the U.S.–EU divergence on AI governance will harden. The EU’s risk-tiered pre-deployment model will leave European AI firms at a structural cost disadvantage, raising the risk of a hollowing-out of the European AI ecosystem over the next five years.

For geopolitics, the U.S.–China AI race is entering a new phase. As China rapidly closes the gap in compute, models and deployment, Sacks’s “deregulate to outrun” doctrine is essentially a bet that American innovation velocity can outpace China’s state-driven mobilization.

Comparing Perspectives

Pro-innovation view: U.S. Chamber of Commerce president Suzanne Clark said overregulation would cost the U.S. economy as much as $500 billion in foregone AI value and that Sacks’s position reflects mainstream industry thinking.

Safety-first view: Future of Life Institute president Max Tegmark warned that a deregulatory path could leave society without effective oversight of AI systems during the most consequential deployment window in decades.

Academic view: Stanford AI Lab director Fei-Fei Li said regulation and innovation are not a zero-sum game. She called for “agile governance” — mechanisms that iterate quickly and course-correct as the technology matures.

Editor: GoodInfo Global News Desk