Why Trump Renamed AI “Super Intelligence”: The Order, Origins and Business Context

What Trump signed on 29 September 2026

The White House order directs executive-branch agencies to use Super Intelligence and SI in place of Artificial Intelligence and AI in relevant communications and non-statutory documents, within legal limits. It does not require rewriting earlier regulations, contracts or historical records. For implementation, its definition initially follows the existing statutory AI definition. It also requests proposed legislative language on a federal SI definition within 60 days.

The accompanying White House fact sheet frames the change as recognition of advancing capabilities and opportunity. This is the administration’s rationale, rather than an independent measurement of intelligence.

These details make the original order more useful than a headline alone. A terminology instruction, a technical evaluation and an enacted statutory amendment are different kinds of evidence. Readers should check which kind a report describes before drawing a conclusion about what has changed. The policy’s use of SI does not itself establish that existing systems exceed human intelligence across domains.

Why “Super Intelligence” is written as two words here

Use the exact two-word expression when discussing the September announcement, the order’s title or the administration’s chosen label. The research literature often uses “superintelligence” as one word. Both can appear in a carefully written article, provided the context is clear. “Super Inteligence” is a spelling error: intelligence has two consecutive letters l.

An accessible introduction can describe SI as the administration’s term for AI in this policy context, then explain the distinct research meaning separately. This is particularly useful for customers encountering the phrase for the first time. They should not have to guess whether a company is describing a government naming convention, an ordinary AI product or a hypothetical level of future capability.

The research concept predates Trump’s order

Trump’s order is a dated source for this administrative usage, not the origin of the entire research concept. Oxford University Press published an interview in September 2014 about Nick Bostrom’s book Superintelligence: Paths, Dangers, Strategies. That provides a clear example of the term in public discussion more than a decade before the 2026 order. It does not establish that Bostrom coined the word.

The older debate concerns intelligence beyond human capability, its possible consequences and how such systems might be controlled. Artificial superintelligence, abbreviated ASI, belongs to that discussion; artificial general intelligence, or AGI, concerns broad general competence. A responsible history should distinguish the emergence of a concept from later political, commercial or institutional uses of its name, rather than assign every use to one recent event.

How mainstream reporting places the announcement in context

VOV’s 30 September report explains the renaming and notes that Trump had already used the expression at the United Nations the preceding week. Reuters separately reports that technology executives signed a voluntary safety agreement on 29 September. The naming order and that agreement should not be treated as the same document. Links to both reports and the primary text appear below.

For a business reader, attribution matters. A government’s stated ambition belongs to that government; a researcher’s interpretation belongs to the researcher. A headline can help identify a development, but the supporting text should explain its scope. When sharing the news, include the date, identify the relevant document and retain the difference between a reported event and a prediction about what technology might eventually achieve.

What the new SI terminology means for business communication

Our business recommendation is to explain the context whenever SI is used in an offer, presentation or article. A Vietnamese company can acknowledge the new US terminology while still describing the actual tools and tasks it provides. State whether a service supports drafting, retrieval, analysis or workflow coordination, and show how outputs are evaluated. A new label should help customers understand the offer, rather than inflate their expectations.

Future effects on work, creative production and operations remain subjects for analysis. More capable systems could change those activities, but a naming decision alone cannot measure that change. Track observed results, permissions, correction effort and customer outcomes. The practical opportunity is to communicate current developments accurately and prepare useful workflows, while keeping policy language, research concepts and verified product capabilities easy to distinguish.