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Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Trump’s September 2026 “Super Intelligence” rebrand changed the language federal executive agencies were told to use, not the words private companies or the public were legally required to use. At a White House summit, major technology executives publicly accommodated the new term and signed a voluntary safety accord. That public compliance is why WIRED’s Steven Levy and Jacob Weisberg described the episode as a loyalty test—but it does not prove what any executive privately believed.
Why did Trump rename AI “Super Intelligence”?
Trump argued that “artificial intelligence” was inaccurate and ineloquent. On September 19, 2026, he floated alternatives including “Superior,” “Extreme” and “Supreme Intelligence,” and proposed an “AI Force,” according to TechCrunch. Four days later, speaking at the U.N. General Assembly, he said the U.S. government would use “super intelligence.” The State Department’s Bureau of International Organization Affairs then instructed diplomats in that bureau to replace AI with SI in documents and remarks, the Associated Press reported.
The White House formalized the terminology shift on September 29 in Executive Order 14434, titled “Inaugurating the Era of Super Intelligence.” Whatever the intended rationale, changing the label did not by itself change the underlying technology, settle how capable AI systems are, or establish a new technical category. The order is a federal communications directive.
What does the Super Intelligence executive order actually change?
Executive Order 14434 says that, to the maximum extent permitted by law, executive departments and agencies shall use “Super Intelligence” and “SI” instead of “Artificial Intelligence” and “AI” in official correspondence, public communications, websites, reports, policy documents and other non-statutory documents. The White House’s order is the primary source for its scope.
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It does not require changes to previously issued regulations, presidential actions, contracts, grants or historical documents. The qualification “to the maximum extent permitted by law” also matters: the directive does not override legal requirements to use different wording.
Do private companies have to stop saying “artificial intelligence”?
No. The order governs executive-branch communications; it does not impose a general naming rule on private companies, the press or the public. At the September 29 White House summit, leaders from Google, Anthropic, Meta, OpenAI, xAI and Nvidia signed the White House Accord on Super Intelligence, and some executives used the new term. But Axios reported that some companies expected to use SI when dealing with Trump or the federal government without expecting the label to catch on broadly. Some executives continued to say AI in their remarks.
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| Question | Federal terminology directive | Industry summit accord |
|---|---|---|
| Who is covered? | Executive departments and agencies, for covered non-statutory communications (White House, September 29, 2026). | Signatory companies; the accord is voluntary (The Guardian, September 29, 2026). |
| What does it require? | Use “Super Intelligence” and “SI” in place of AI terms where permitted by law. | Safety-governance commitments described as morally binding, with no clear enforcement mechanism (The Guardian, September 29, 2026). |
| Does it govern public or private usage generally? | No; the order is limited to executive-branch communications. | No; it is an agreement among signatories, not a government-wide terminology rule. |
| What is the oversight model? | A terminology directive; the order does not establish AI safety oversight. | Company monitoring and review, including external evaluation, with evaluators and oversight boards chosen by companies (The Guardian, September 29, 2026). |
Was Trump testing the loyalty of Silicon Valley executives?
That is an interpretation of what happened in public, not a proven account of every participant’s motive. WIRED reported that none of the executives at the lunch publicly objected; it named Jeff Bezos, Jensen Huang, Dario Amodei, Mark Zuckerberg, Sundar Pichai, Greg Brockman, Alex Karp and Elon Musk. At the summit, executives signed the accord, and Jensen Huang repeatedly used “Super Intelligence,” correcting himself after saying AI. WIRED also reported that Trump then claimed the name had been changed by “the biggest, the, smartest, the greatest people anywhere in the world.”
Jacob Weisberg, author of Profiles in Cowardice: A Study of Collaboration in the Trump Era, called the episode “a classic Trump loyalty test”—a way to see whether powerful people would demean themselves to curry Trump’s favor and avoid his wrath. His proposed response was collective action: “The only way to resist this kind of thing is by acting collectively.” That reading is plausible because the terminology change was conspicuous and executives’ visible accommodation gave Trump a public display he could present as industry endorsement. Silence and compliance, however, do not establish private agreement or explain why any individual executive acted as they did.
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What does the companies’ safety accord promise—and what can it enforce?
The Guardian describes the Joint Commitment on Frontier Responsibilities, signed at the summit, as a voluntary, “morally binding” agreement. Its structure has four layers:
- Internal safety monitoring during training.
- An internal team checking that monitoring.
- An external auditor or evaluator.
- Independent review by the company’s board.
The accord relies on company-directed oversight: companies can choose their evaluators and oversight boards. It does not involve government regulators, require public disclosure of evaluation results or set out a clear enforcement mechanism. Those limits make it different from a binding regulatory regime, even if signatories treat the commitments seriously.
Trump described the arrangement as “tremendous self-policing.” Anthropic CEO Dario Amodei said the technology had “very real risks” and that the mechanism for addressing them was still under discussion. His comment points to an important distinction: signing a framework is not the same as resolving how safety obligations will work in practice.
Did the rebrand catch on with the public?
Not in the polling Axios cited during summit week. In a 2026 YouGov poll, 53% preferred “artificial intelligence,” while 9% preferred “super intelligence.” That is evidence about preference in that poll at that time, not a forecast of future usage. It also contrasts with the narrower institutional settings where the new term had immediate force or incentive: federal communications and interactions with the White House.
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Was this part of a broader pattern of executive deference?
A September 2025 WIRED report described a White House dinner where roughly a dozen major technology executives publicly praised Trump, highlighted U.S. investment and complimented administration policy. Mark Zuckerberg discussed Meta’s roughly $600 billion domestic infrastructure investment through 2028; Satya Nadella praised Melania Trump’s AI-skilling work; and Oracle’s Safra Catz praised Trump’s cabinet, calling it “the most exciting time in America ever.” These are reported public statements, not proof that every executive shared Trump’s politics. They provide context for why observers might read the 2026 spectacle as another instance of executives accommodating a president in public, but they cannot establish the private reasoning behind either event.
What “it worked” means—and what it does not
The rebrand “worked” in the limited, visible sense that Trump secured a federal terminology directive and a public display of cooperation from prominent technology executives. It also produced a voluntary safety accord that the White House could describe as self-policing. It did not compel private companies or the public to abandon “AI,” establish robust external enforcement of the accord, or demonstrate that executives privately endorsed Trump’s language. The poll and companies’ reported expectations indicate that broad public adoption remained unproven as of the summit week.
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