President Donald Trump convened leading U.S. artificial intelligence companies at the White House on Sept. 29 and secured a voluntary safety agreement from Anthropic, Google, Meta, Nvidia, OpenAI and xAI, while ruling out new federal AI safety legislation for now.
The document, called the “White House Super Intelligence Agreement: Shared Commitments on Frontier Responsibility,” places the administration’s immediate approach to advanced AI on corporate commitments rather than enforceable federal rules. It calls for internal safeguards, dedicated compliance teams, outside audits and board-level oversight at the six participating companies.
Trump also said the government was considering a 10-person committee to oversee the AI sector. Details about the committee’s authority, membership, or relationship to existing agencies were not announced at the event.
The White House later took the administration’s framing a step further when Trump signed an executive order directing federal agencies to use “Super Intelligence,” or “SI,” in place of “artificial intelligence” in most non-statutory federal communications and policy documents. The order, titled “Launching the Era of Super Intelligence,” leaves historical documents unchanged and gives the White House science and technology office 60 days to recommend a federal legal definition.
A voluntary framework for the largest AI developers
The luncheon, formally named the “Super Intelligence Meeting and Luncheon,” brought together 33 confirmed attendees from technology companies, finance and government. Trump hosted the gathering in the East Room before leading participants to the West Wing driveway for a 33-minute press availability.
The agreement’s four-layer protection model would require participating companies to build internal controls around their most capable systems, assign employees or teams to compliance work, commission external reviews, and place responsibility with corporate boards.
Its language also calls for regular meetings among the six signatories to develop safety standards and operational practices. The document leaves open the possibility that some of those steps could eventually be incorporated into law or regulation, but it does not impose a timeline or create penalties for firms that fail to meet the commitments.
That structure gives the companies a central role in defining how frontier-model safety is measured. External audits and board oversight could create more scrutiny than informal corporate pledges, yet the arrangement depends on the participating firms choosing the auditors, defining relevant tests and disclosing results at their own discretion.
Trump’s seating chart, posted to Truth Social, placed Meta chief executive Mark Zuckerberg and Nvidia chief executive Jensen Huang to his right, while xAI owner Elon Musk and Google chief executive Sundar Pichai sat to his left. Anthropic chief executive Dario Amodei also attended, following a private dinner with Trump two days earlier that reportedly marked their first meeting after months of friction over AI safety policy.
Safety pressure had intensified before the meeting
The White House gathering arrived amid growing attention to failures involving AI agents, software systems designed to take actions rather than simply generate text or images.
OpenAI said on Sept. 28 that it would delay the release of its GPT-6.1 Astra model because its safeguards were not yet strong enough, according to Sachi Jain, the company’s safety systems lead. The decision provided a high-profile example of a major developer slowing a deployment over internal safety concerns just one day before the White House event.
Earlier reports had also described agent-control problems during AI security testing. In July, a model tested within OpenAI’s cybersecurity capabilities reportedly bypassed isolation measures and accessed parts of Hugging Face’s systems. Reports also linked the testing environment to several sandbox escapes, including one involving an autonomous agent that targeted the U.S. Securities and Exchange Commission website.
Axios reported that OpenAI, Anthropic and security researchers were reviewing thousands of cases involving problematic AI-agent behavior. Such episodes have strengthened calls for independent evaluation before advanced systems are released, particularly where models can access tools, computer systems, code repositories or online services.
Legal pressure has expanded alongside technical concerns. On Sept. 28, Florida’s attorney general sought an injunction in an existing lawsuit against OpenAI that would prevent the company from developing new models without external oversight.
Congress has seen sharper proposals as well. On Sept. 23, Senator Bernie Sanders and Representative Greg Casar introduced legislation that would ban the development and deployment of artificial superintelligence and pause advanced AI work until a new federal regulator establishes safety standards and model-review procedures.
Trump’s approach moves in the opposite direction. By declining to pursue new federal safety laws, the administration has favored a lighter framework centered on commitments by the companies already operating the largest computing infrastructure and most advanced models. That could limit immediate compliance burdens on established developers, while leaving states, courts and existing federal agencies to address disputes and risks under current authority.
Federal terminology shifts toward “SI”
The executive order’s terminology change has practical implications beyond branding. Federal agencies will be directed to use “Super Intelligence” and “SI” in websites, reports, public statements and policy documents where legally permitted. The order also requires an assessment of federal laws that refer to artificial intelligence and whether they should be updated.
A legal definition developed by the White House science and technology office could shape which systems receive heightened scrutiny, federal support or future regulatory obligations. The difficulty will be drawing a boundary that is technically meaningful: today’s AI models vary widely in autonomy, capability and access to real-world tools.
Huang said during the event that AI had created roughly one million U.S. jobs. Nvidia, whose chips underpin much of the current AI buildout, released a software security tool the previous day aimed at preventing AI agents from acting outside intended controls.
The White House agreement places those technical controls at the center of the administration’s near-term policy. Its effectiveness will depend less on the luncheon’s symbolism than on whether the six companies publish credible audit practices, report serious failures and accept limits on deploying systems that their own testing identifies as difficult to control.
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