As David Sacks steps back and Sriram Krishnan prepares to leave, Commerce Secretary Howard Lutnick and others are leading AI policy in the Trump administration
Context & Ripple Effects
Trump initially put David Sacks in the White House AI-and-crypto czar role, with a remit framed around competitiveness, national security and clearer rules for crypto. By March, Sacks had relinquished the special-government-employee role, while Sriram Krishnan was moving into the National Economic Council to focus on AI.
The latest transition shifts visible AI-policy leadership toward Commerce Secretary Howard Lutnick and other administration officials as Krishnan prepares to depart. That matters because the administration’s stated resistance to a centralized AI regulator leaves substantial room for department-by-department policymaking.
First-order effects
- Commerce gains a more prominent role in directing the administration’s AI-policy agenda as Sacks steps back and Krishnan exits.
- Companies seeking guidance on federal AI priorities must engage a broader set of officials rather than relying on the White House czar structure associated with Sacks and Krishnan.
Second-order effects
- AI firms and industry groups are likely to concentrate more of their policy outreach on Commerce and other operational agencies, where implementation choices can shape practical requirements and incentives.
- The absence of a single, centralized AI-regulatory model may make coordination across the administration more consequential for businesses trying to interpret federal policy.
Third-order effects
- If leadership continues to migrate from White House advisers to cabinet agencies, US AI governance could become more executive-branch and commerce-oriented, organized around competitiveness rather than a dedicated safety regulator.
- That structure may preserve flexibility for AI deployment while making policy consistency dependent on coordination among agencies rather than on one permanent AI authority.
The trend: This is part of a shift from a high-profile White House AI-czar model toward distributed, agency-led AI governance centered on US competitiveness.