Trump Names Jay Clayton to Lead Super Intelligence Force

President Donald Trump has named Director of National Intelligence Jay Clayton as the administration's new AI czar, putting the head of the US intelligence community in charge of the White House's artificial intelligence response, according to CNBC. The Wall Street Journal first reported Clayton's role on Saturday, and Trump confirmed the shape of the group in a Truth Social post on Sunday.

What happened

Clayton will chair a new White House task force with 120 days to report on AI's risks and opportunities and recommend what the federal government's responsibilities should be. The group is called the "Super Intelligence Force," the term Trump prefers over AI. Alongside Clayton sit FTC chairman Andrew Ferguson, the Defense Department's Under Secretary of War for Research and Engineering Emil Michael, and Office of Personnel Management director Scott Kupor. The task force reports to Trump and chief of staff Susie Wiles.

Clayton is a former chair of the Securities and Exchange Commission and US attorney for the Southern District of New York. The Senate confirmed him as DNI in July, giving him authority over 18 intelligence agencies.

The appointment follows the September 29 White House meeting where the leaders of OpenAI, Anthropic, Google, Meta, xAI and Nvidia signed a voluntary safety accord Trump described as "morally binding," and it lands after a run of rogue AI agent incidents that pushed AI safety back to the top of the political agenda. The task force, Trump said, will "coordinate the Federal Government's engagement with Consumers, Public Interest Groups, Religious Organizations, Critical Infrastructure Providers, and Super Intelligence Companies."

Why it matters

Two things stand out. The first is the mandate: this is a convening and listening body, not a regulator. Its deliverable is a set of recommendations in 120 days, not rules with penalties.

The second is the office. A director of national intelligence chairing AI oversight reframes frontier models as an intelligence-community concern, an asset to be assessed for risk and advantage, rather than a consumer product question. That framing tends to show up later in pre-deployment testing, export controls and supply-chain scrutiny. The vocabulary moved too: federal usage now says Super Intelligence, and AI companies are "Super Intelligence Companies."

Builder impact

• Standards, not statutes. The near-term output is a report plus voluntary commitments, so teams should not plan around binding federal AI rules arriving in this window.
• Procurement is the lever. Task force recommendations and the pre-deployment testing agreements already struck with xAI, Microsoft and Google DeepMind will shape what agencies can buy and what compliance looks like.
• Security framing goes mainstream. With an intelligence chief in the chair, model access, supply chain and agent-misuse questions get treated as critical infrastructure concerns, which raises the value of audit trails, provenance and scoped permissions.