• President Trump says he will appoint a White House "AI czar" within three or four days, but no nominee has been confirmed.
  • The proposed "AI Force" would accelerate U.S. AI development while relying on existing laws to address harmful uses.
  • The appointment could significantly impact tech, energy, and construction sectors amid the AI infrastructure boom.

President Trump said he will name a new White House "AI czar" within days, part of a proposed "AI Force" that aims to accelerate U.S. artificial intelligence development. The announcement, made on Truth Social on September 19, likened the initiative to the Space Force, but the White House has yet to specify whether the force would be civilian or military, where it would sit in government, or what powers it would have.

Trump subsequently said the appointment would come in the next "three or four days," a deadline that has not yet yielded a named official. The post has been effectively vacant since David Sacks, the administration's first AI and crypto czar, exhausted his 130-day special-government-employee limit in March 2026. Sacks moved to co-chair the President's Council of Advisors on Science and Technology.

Treasury Secretary Scott Bessent was reportedly under consideration, but Trump explicitly ruled him out on September 25, saying Bessent wanted to remain at Treasury and was doing well there. The White House did not respond to requests for comment on the timing or identity of the appointee.

The initiative builds on the administration's July 2025 America's AI Action Plan, which outlines more than 90 federal actions under three pillars: innovation, infrastructure, and diplomacy and security. The plan calls for reducing regulatory barriers, expediting data-center and semiconductor-fab permitting, and exporting U.S. "full-stack" AI packages to allies.

Trump has portrayed AI as potentially worth as much as 25% of U.S. GDP, though that is a political projection rather than an established forecast. The broader economic rationale is clearer: AI investment is driving extraordinary demand for computing capacity, chips, electricity, data-center construction, networking equipment, cooling systems, and specialized labor.

A growth-first federal posture may benefit AI-model developers, cloud providers, chipmakers, and data-center operators by lowering policy uncertainty and emphasizing infrastructure buildout. Faster data-center permitting could also increase demand for generation capacity, transmission, natural gas, nuclear development, renewables, transformers, and HVAC systems. The White House plan specifically identifies electrician and HVAC-worker capacity as a constraint.

The announcement comes amid a major policy disagreement over whether the U.S. should move faster on AI or establish stronger safeguards before increasingly capable systems are deployed. Trump's position is broadly accelerationist: support rapid private-sector AI growth, compete aggressively with China, and use existing law rather than sweeping new AI-specific restrictions.

Critics—including some researchers, lawmakers, and leaders of advanced-AI companies—argue that frontier models can create cyber, biosecurity, fraud, misinformation, and labor-market risks that may not be adequately covered by existing legal tools. OpenAI's Sam Altman and Anthropic's Dario Amodei have publicly warned about growing safety and security risks from more powerful systems.

Industry is likely to welcome a senior coordinator who can streamline federal engagement and signal support for investment, provided the role does not become a new regulatory choke point. Safety advocates and civil-rights groups are likely to question reliance on existing law, especially for harms such as systemic bias, opaque decision-making, election misinformation, and model-enabled cyber abuse.

The most immediate public-policy debate is not merely who gets the title. It is whether the role will coordinate voluntary industry growth, enforce existing laws more aggressively, centralize federal AI policy, or eventually advocate new legislation and regulatory powers.

The key near-term question is the nominee. A technology executive or venture capitalist could signal an emphasis on investment, commercialization, and lighter regulation. A national-security figure could point toward cyber security, defense applications, and export controls. A policy or legal specialist could indicate greater attention to federal preemption, standards, and enforcement.

A second question is whether the White House releases a formal memorandum defining the AI Force's membership, reporting chain, funding, and deliverables. Without that, the announcement may function mainly as a policy signal rather than a durable new institution.

If empowered, an AI czar could become a focal point for integrating policy across the White House, Commerce, State, Defense, Energy, Labor, Justice, and the Office of Science and Technology Policy. The greatest long-run effects would likely involve the speed and geography of U.S. data-center and energy-infrastructure construction, the balance between federal preemption and state AI laws, and U.S. alliances and export strategy for chips, cloud services, models, and technical standards.

For now, the announcement is directionally important but operationally incomplete: it reinforces a pro-growth, China-competition-oriented AI policy while leaving the official's identity, authority, institutional home, and safeguards unsettled.

Correction: A previous version of this article incorrectly stated that David Sacks departed in March 2025. He exhausted his 130-day limit in March 2026.