Sriram Krishnan Departs White House AI Role
People & Leadership

Sriram Krishnan Departs White House AI Role

Sriram Krishnan, senior White House AI policy advisor and former Andreessen Horowitz partner, is leaving the Trump administration at the end of June to build an outside institution focused on AI policy challenges.

PublishedJune 6, 2026
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A Key Architect of Trump's AI Policy Departs

Sriram Krishnan, the senior White House policy advisor for artificial intelligence, is leaving the Trump administration at the end of June, marking the departure of one of the key figures behind the administration's pro-growth AI agenda. Krishnan, a former Microsoft, Twitter, and Andreessen Horowitz executive, was one of the most prominent technology figures to join the second Trump administration.

In a departure post on X, Krishnan wrote: "It is hard to express how big a privilege it has been to serve the American people and how grateful I am to have had the opportunity to do so. First and foremost, it has been an honor to serve under President Trump. Without his leadership, we would not be leading in the AI race." He specifically thanked David Sacks, noting that Sacks' "continuing advocacy for America winning on AI has been and continues to be crucial."

What Krishnan Accomplished

During his tenure, Krishnan helped shape the administration's AI Action Plan, which prioritized datacenter construction over regulation and safety requirements. This approach represented a sharp departure from the previous administration's emphasis on AI safety frameworks and red-teaming requirements.

He was involved in multiple AI-related executive orders, including one that challenged state-level AI regulations and another on oversight that was delayed and narrowed after industry pushback. Krishnan also endorsed the idea that the government could take an equity stake in major AI companies, a concept we reported on separately in our coverage of the Trump administration's potential OpenAI stake.

The Broader Administration AI Team

Krishnan worked closely with David Sacks, who previously served as the AI and crypto czar and now co-chairs the President's Council of Advisors on Science and Technology. The relationship between the two was central to the administration's AI policymaking, with Krishnan handling day-to-day policy development while Sacks provided strategic direction and political cover.

Krishnan's departure comes at a pivotal moment for AI policy. The administration is in the midst of multiple significant AI-related initiatives, including the potential equity stake in OpenAI, ongoing negotiations about datacenter permitting, and the implementation of executive orders that affect how federal agencies adopt AI.

What Comes Next for Krishnan

According to the Washington Post, Krishnan plans to establish an outside institution that will continue to influence Trump's AI policy from the private sector. He described his focus areas as "energy, data centers, or a clear path for Americans to experience the benefits of AI." The move from inside government to outside influence is a well-worn path in Washington, but it is notable for an AI policy advisor who served during a period of extraordinarily rapid technology and policy change.

Krishnan's departure does not signal a change in the administration's AI direction. The policy framework is largely in place, and the team he built remains. But it does remove a voice that bridged the technology industry and government at a time when that bridge has never been more important.

Implications for Industry

For technology companies navigating the Trump administration's AI policy landscape, Krishnan's departure introduces an element of uncertainty. His successor and the institutional relationships that person brings will shape how the administration engages with industry on issues ranging from datacenter permitting to safety regulation to government AI procurement.

We will be watching closely to see who fills the role and whether the administration maintains its current pro-growth posture or pivots in any direction. The AI policy landscape is evolving rapidly, and changes in personnel can signal shifts in priority even when the stated direction remains constant.

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