Sriram Krishnan, a prominent White House policy adviser on artificial intelligence, is set to leave his post at the end of June. Krishnan has been a central figure in the administration’s efforts to develop regulations for emerging AI technologies. His departure occurs as the White House recently issued an executive order requiring AI developers to voluntarily submit their most capable models for government cybersecurity testing.
President Donald Trump signing an executive order on Artificial Intelligence.
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Sriram Krishnan, a key figure in shaping the White House's policy on artificial intelligence, announced on Saturday that he will be stepping down from his position at the end of June. His departure marks the exit of a leading voice in the administration's efforts to navigate the complex landscape of frontier technologies.
President Donald Trump hands a pen to Senior White House Policy Advisor on Artificial Intelligence Sriram Krishnan after signing an executive order while U.S. Sen. Ted Cruz (R-TX) (2nd L) and Commerce Secretary Howard look on in the Oval Office of the White House on Dec. 11, 2025 in Washington, D.C. The executive order curbs states' ability to regulate artificial intelligence, something for which the tech industry has been lobbying.
Alex Wong | Getty Images News | Getty Images
Krishnan shared his departure on X, stating, "This journey has been the privilege of a lifetime," without providing a specific reason for his exit. He has been instrumental in the Trump administration's initiatives to establish a national regulatory framework for AI advancements, particularly as concerns in Washington escalate over the capabilities of increasingly powerful AI systems.
This move comes shortly after the White House released an executive order on Tuesday. The order mandates that federal agencies proactively request leading AI developers to voluntarily submit their most advanced models for government-led cybersecurity assessments prior to their public release. This initiative underscores the administration's focus on mitigating potential risks associated with cutting-edge AI, such as the reported ability of systems like Anthropic's Mythos to identify cybersecurity vulnerabilities in critical sectors like banking.
