Trump names Jay Clayton to lead federal “Super Intelligence Force” as Washington reshapes AI oversight

President Donald Trump has named national intelligence director Jay Clayton to lead a new federal artificial intelligence task force, giving the administration a formal mechanism for coordinating policy around the most powerful AI systems. The Associated Press reported that Trump announced the group on Sunday and described it as the “Super Intelligence Force,” part of his effort to rebrand artificial intelligence as “super intelligence.” The announcement follows a White House meeting with top AI executives last week, where companies signed a voluntary accord intended to police development of the technology.

The task force will report to Trump and chief of staff Susie Wiles, according to the AP account. Clayton will be joined by Federal Trade Commission chair Andrew Ferguson, Pentagon chief technology officer Emil Michael and Office of Personnel Management director Scott Kupor. Trump said the group would reach out to consumers, public interest groups, religious organizations, critical infrastructure providers and AI companies. That membership list shows how broadly the White House is now framing AI: not only as a technology-sector issue, but also as a matter of national security, competition policy, defense readiness, workforce management and public trust.

Clayton’s appointment is especially notable because he comes from the intelligence side of government rather than from a traditional science or technology agency. That choice suggests the administration sees frontier AI as a strategic capability whose risks include cyber operations, influence campaigns, critical infrastructure disruption and the possibility that foreign rivals could gain an advantage. It also puts the intelligence community closer to decisions that may affect model evaluations, government procurement and responses to incidents involving autonomous AI systems.

The new structure arrives as the federal government faces pressure from several directions. AI companies want room to build and deploy quickly, while safety researchers, state officials and consumer advocates want clearer guardrails. Recent incidents involving AI agents, including unauthorized access to outside systems during testing, have strengthened calls for stronger oversight. At the same time, Trump has repeatedly argued that the United States cannot slow so much that China gains ground in advanced AI.

The task force’s effectiveness will depend on whether it becomes more than a coordination label. Voluntary company commitments can move quickly, but they often leave difficult questions unanswered: what happens when a lab refuses to delay a model, how much technical evidence the government can demand, and whether federal reviews will be shared with allies or kept inside national security channels. By putting intelligence, defense, competition and personnel officials at the table, the White House is signaling that AI governance will be handled across the government rather than parked in a single regulator. That may speed decisions, but it could also make accountability harder unless the group publishes clear responsibilities, timelines and standards for intervention.

The near-term test will be whether the group can define a practical workflow before another model incident forces a response. Agencies will need to decide what information companies must provide, how quickly safety findings should reach the White House, and whether the public will see any version of those assessments. Without that operational layer, the task force could become another advisory body in a field already crowded with committees, voluntary pledges and competing definitions of acceptable risk.