Trump's AI rebrand lands with a six-CEO self-audit pledge
Two documents came out of the White House on Tuesday. One changes what the US government calls AI; the other asks six of the biggest companies in the room to audit themselves.
President Trump signed an executive order on September 29 directing federal agencies to use "Super Intelligence" and "SI" in place of "artificial intelligence" and "AI" across official correspondence, public communications, websites, reports and policy documents — and to not acknowledge the older terms "in any applicable setting." The order is deliberately narrow in one direction: it does not require altering previously issued regulations, presidential actions, contracts, grants or historical documents, and its operative legal definition still points back to the existing statutory definition of AI in federal law. The White House science office has 60 days to propose legislative language for a federal SI definition. Trump's pitch at the event was branding, stated plainly: "The word super is the best word of all, and it's the simplest."
The second document, the "White House Accord on Super Intelligence — Joint Commitment on Frontier Responsibilities," carries six signatures: Sundar Pichai, Dario Amodei, Mark Zuckerberg, Greg Brockman, Elon Musk and Jensen Huang. It commits each company to four things: robust internal controls that monitor model capabilities and alignment during training and deployment in areas like cybersecurity, biosecurity and chemical threats, including that models "do not hack or access technical systems in unintended ways"; an internal team empowered to ensure those controls work as intended; a partnership with an "independent external auditor or evaluator"; and an independent board committee to receive reports from both the control teams and the auditors. Microsoft, Amazon and Apple did not sign. That is a real change in posture for labs that have spent the year resisting outside evaluation — and it is worth noting who is not in the room to enforce it.
The catch is written into the accord itself. Every auditor, every committee and every internal control is selected by the company being audited. "Regardless of whether this is required of companies, we believe that implementing these controls and audits is critical," the text reads, before conceding that "over time, it may make sense to codify these steps into laws or regulations." Trump called the document "morally binding," said the industry would see "tremendous self-regulation," and argued that "we automatically have regulation" through the Department of Justice and the FBI. He also said he is considering a ten-person board to oversee AI safety and named no members. So the binding half of Tuesday's output is a naming change with real compliance cost inside the executive branch, and the safety half is a pledge with the enforcement removed. We covered the earlier version of this move last week — Trump to the UN: no global AI rules, and AI is 'super intelligence'.
What to watch: whether any signatory names its external auditor or publishes the board committee's charter before the next news cycle buries it. A voluntary audit framework is only as strong as the first finding somebody is willing to publish.
EliseAI raised $350 million at a $4 billion valuation, led jointly by Andreessen Horowitz and Bessemer Venture Partners, with Ontario Teachers' Pension Plan, Sapphire Ventures and Navitas Capital participating. The New York company sells AI automation for rental housing operators and healthcare providers — leasing and maintenance workflows, appointment scheduling, document intake into electronic health records — and says its platform now manages more than one in six US apartment units, with over 3,500 healthcare providers on the health side. The valuation roughly doubles the $2.2 billion it reached in its 2025 Series E. Those customer and coverage numbers are the company's own, not independently audited, and its claim that the health software handles up to 95% of inbound patient inquiries should be read the same way. The interesting part is where the money is going: housing and healthcare are the two industries with the most sensitive data and the least tolerance for a wrong answer, which is exactly why incumbent workflow software has been slow to automate them — and why a16z and Bessemer bet that the agent that gets the edge cases right takes the market.
Would an auditor hired by the company it audits ever publish a finding the company didn't want to hear? Tell us in the comments.
