A profile of White House AI adviser Sriram Krishnan, who wrote an EO against “Woke” AI, aims to “fight China”, and rallies executives around Trump's policies
White House adviser Sriram Krishnan has been instrumental to the US administration's light touch on AI
Context & Ripple Effects
Krishnan's White House AI role followed Trump's announcement of his appointment as a senior AI policy adviser in 2024. This profile shows how that mandate translated into a light-touch regulatory posture, executive-order drafting and outreach to technology executives.
The later reporting that Krishnan would take on an AI focus at the National Economic Council suggests his influence was extending beyond the White House science office into broader economic policymaking.
First-order effects
- The administration gains a policy operator who pairs a deregulatory AI stance with an executive order aimed at “Woke” AI and a China-focused rationale for accelerating US AI efforts.
- AI executives are being organized around the administration's agenda, making alignment with White House priorities more immediately consequential for industry-government engagement.
Second-order effects
- Companies seeking federal support or favorable treatment may face greater pressure to frame AI plans around competitiveness and administration-compatible model policies, rather than solely voluntary safety commitments.
- The policy center of gravity can shift from stand-alone AI oversight toward economic and strategic policy, consistent with Krishnan's later AI focus at the National Economic Council.
Third-order effects
- If this approach persists, US AI governance is likely to be shaped more by industrial and geopolitical objectives than by a dedicated risk regulator—a direction Krishnan later summarized as no FDA-style AI regulator under Trump.
- That would reward AI labs that can establish strategic legitimacy with government, while making political alignment a more durable part of competition for policy access and support.
The trend: This is one data point in the shift toward state-aligned AI industrial policy, where competitiveness and geopolitical framing increasingly organize US AI governance.