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Chronicles

The story behind the story

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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

Maria Curi /Axios:

Axios Maria Curi

Context & Ripple Effects

David Sacks was initially positioned as the administration's AI and crypto czar, with related coverage emphasizing competitiveness, national security, and skepticism toward tech regulation. By March, he said he had relinquished the special-government-employee role, even as Sriram Krishnan took on AI work at the National Economic Council.

Krishnan's planned end-of-June departure removes another prominent White House AI adviser. The reported handoff to Commerce Secretary Howard Lutnick and other officials therefore marks a shift from a small group of named advisers toward a broader set of administration power centers.

First-order effects

  • Howard Lutnick and other officials gain greater practical influence over the administration's AI-policy agenda as Sacks steps back and Krishnan exits.
  • Companies and investors seeking clarity on federal AI priorities must redirect engagement from Sacks and Krishnan toward Commerce and the other officials now carrying the portfolio.

Second-order effects

  • The change can make policy coordination more dependent on departmental and White House processes rather than on a single AI-czar office, raising the importance of which agencies and officials set implementation priorities.
  • Krishnan's reported plan to form a pro-Trump AI policy institution could create an outside policy channel alongside the administration, while the government-facing center of gravity moves elsewhere.

Third-order effects

  • If this division of responsibility persists, US AI policy may be shaped less by a standalone tech-policy envoy and more by the overlap of commerce, competitiveness, and national-security institutions.
  • That structure could make the policy agenda more durable across personnel changes, but it may also produce less centralized signaling to the AI sector if officials pursue differing priorities.

The trend: This is one data point in AI governance becoming embedded in mainstream economic and national-policy institutions rather than being led chiefly by a single technology adviser.