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Trump Launches ‘Super Intelligence Force’ to Centralize Federal AI and Superintelligence Policy

President Trump has created a White House-led 'Super Intelligence Force' to coordinate federal superintelligence policy, co-led by the DNI, FTC chair, a Pentagon CTO, and the OPM director. The move elevates AI policy to the center of US strategy and raises open questions for decentralized compute, on-chain AI agents, and AI-related tokens.

Trump Establishes Super Intelligence Force at the White House

President Donald Trump announced the creation of the “Super Intelligence Force” (SIF), a new White House-led working group tasked with coordinating the federal government’s work on superintelligence. The move follows an agreement struck at the White House with major technology companies and signals that AI policy — particularly frontier and superintelligent systems — is being elevated to the center of US industrial strategy.

The SIF will be jointly led by Director of National Intelligence Jay Clayton, Federal Trade Commission Chairman Andrew Ferguson, Department of War Under Secretary for Research and Engineering and Chief Technology Officer Emil Michael, and Office of Personnel Management Director Scott Kupor. The group reports directly to Trump and White House Chief of Staff Susie Wiles.

Why This Matters for Crypto and Decentralized AI

While the announcement is framed around national competitiveness, its structure has direct implications for the crypto-AI sector. The inclusion of the FTC chairman suggests a mandate that goes beyond national security into competition, consumer protection, and market structure — areas that touch tokenized AI networks, decentralized compute marketplaces, and on-chain agent economies.

The SIF’s stated role of coordinating with “consumers, public interest groups, religious organizations, critical infrastructure providers, and superintelligence enterprises” indicates a formal channel between frontier labs and civil society. For decentralized AI projects, this raises a key question: will they be treated as superintelligence enterprises, as critical infrastructure, or as neither — and therefore left outside the tent?

  • Compute access: Any federal framework for superintelligence will likely touch GPU allocation, export controls, and data center energy policy — the same resources that decentralized compute networks rely on.
  • Model governance: Centralized labs may face new reporting or safety requirements; decentralized model or inference tokenization could be pulled into the same perimeter.
  • Token classification: FTC involvement could shape how AI-related tokens are marketed and sold to retail, echoing ongoing debates in crypto enforcement.

Forward-Looking Perspective

The SIF is the clearest signal yet that Washington intends to treat superintelligence as a strategic asset rather than a purely private-sector pursuit. For crypto-AI builders, the window to shape the rules is now — before reporting standards, compute rules, and enterprise definitions are locked in. Projects that can demonstrate measurable public benefit, verifiable model provenance, and alignment with national competitiveness goals are likely to fare best. Those that cannot may find themselves classified as an afterthought — or as a compliance problem.

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