Technology

Trump Proposes Renaming AI, Plans AI Force and Czar

Martin HollowayPublished 19h ago3 min readBased on 4 sources
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Trump Proposes Renaming AI, Plans AI Force and Czar
Photo by Shealeah Craighead / Public domain

President Donald Trump posted a Truth Social poll on September 19, 2026, proposing that Artificial Intelligence be renamed Superior Intelligence, Extreme Intelligence or Supreme Intelligence. TechCrunch

In the same post, he called the words Artificial Intelligence inaccurate and very ineloquent relative to AI. The wording is the message. A rebrand would not change model weights, training runs or deployment controls, but it would change how the technology is described in political communication.

Trump also said he is forming an AI Force similar to the Space Force he established in his first term. The post frames it as a planned organization, not an existing service branch. No structure, budget, statutory authority or timeline was specified in the reported post.

He said he will announce an AI Czar in the near future, adding that “only high I.Q. individuals need apply.” The vacancy follows the departure of David Sacks, who stepped down as AI and crypto czar earlier in 2026 to co-chair the President’s Council of Advisors on Science and Technology.

Trump said he will cherish, help, and watch over the AI industry as it grows. In the same message, he described attempts at the decimation or destruction of AI as hoaxes generated by Radical Left Democrats.

That language follows a week of parallel statements on AI oversight. Trump rejected calls for greater oversight of artificial intelligence despite warnings from industry leaders about rapidly advancing technology. PBS

He has also said he uses AI for “a lot of things” without revealing exactly how he uses it. FOX 10 That disclosure came as Anthropic CEO Dario Amodei warned about the risks posed by increasingly capable AI agents, a category now central to enterprise deployment because agents can chain tools, retain state and act across systems without step-by-step human approval.

Trump separately said “very negative forces” were raising exaggerated concerns over AI. Reuters In his second term, his administration has largely embraced AI firms, according to the same reporting.

The broader context here is familiar to anyone who has taken AI systems from pilot to production. Naming, ownership and accountability tend to decide what actually ships. A new label does not alter evaluation harnesses, red-teaming, access controls or incident response, but federal vocabulary does propagate into procurement documents, grant language, compliance checklists and vendor marketing. Engineers should watch terminology drift.

In my view, the operational questions matter more than the branding. An AI Force, if pursued beyond a social media proposal, would raise immediate questions about jurisdiction. Would it coordinate compute infrastructure, model assurance, federal acquisition or operational deployment. Would it duplicate existing functions in the Department of Defense, Department of Commerce, NIST and the intelligence community, or consolidate them. None of that has been defined.

Looking at what this means for builders and buyers, personnel is policy. A czar role without rulemaking power can still shape agency guidance, funding priorities and the interpretation of voluntary commitments. With Sacks moved to PCAST, the next appointment would signal whether the White House wants a dealmaker, a technical operator or a policy enforcer. Enterprises negotiating long-term roadmaps around foundation models, agents and internal copilots will read that choice closely.

Worth flagging, the tension is now explicit. Frontier labs are warning about autonomous agents at the same time the White House is dismissing expanded oversight and promising protection for industry growth. That does not resolve the practical work facing platform teams: sandboxing tool use, logging agent actions, limiting privilege escalation and testing failure modes before wide release. Whatever Washington calls the field, that work continues, and optimism about what capable systems enable depends on getting it right.