• President Trump says the AI industry is 'bigger' than the internet and the Industrial Revolution, framing it as a transformative national project.
  • The White House unveiled a nonbinding safety accord with Google (GOOG), Anthropic, Meta (META), OpenAI, X, and Nvidia (NVDA), alongside an executive order rebranding federal AI references as 'Super Intelligence.'
  • The voluntary deal lacks enforcement or public reporting requirements, drawing criticism from safety advocates.

A Grandiose Claim

President Trump on Thursday said the artificial intelligence industry is "bigger" than both the internet and the Industrial Revolution, underscoring his administration's aggressive push to accelerate U.S. AI deployment while relying largely on voluntary industry commitments. The comment came during a TIME interview in which Trump also described a proposed "AI Force" that he indicated he wanted to rename the "SI Force"—a nod to the administration's new terminology.

The White House on September 29 signed a one-page, nonbinding "accord" with leaders from Google, Anthropic, Meta, OpenAI, X, and Nvidia. The document asks participating frontier-AI companies to adopt four layers of safeguards: internal model controls, an internal oversight team, independent external evaluation, and a board-level committee to review safety reports. The stated focus includes cybersecurity, biosecurity, chemical risks, unintended systems access, and model alignment.

Trump characterized the accord as "morally binding." It does not itself impose statutory obligations, penalties, mandatory public reporting, or direct government enforcement. The document says the practices could eventually be codified into law or regulation.

Rebooting the Lexicon

A separate executive order signed the same day directs executive-branch agencies to replace "Artificial Intelligence" and "AI" with "Super Intelligence" and "SI" in official communications and nonstatutory policy materials. The President's science adviser is to develop a proposed federal definition and identify further actions. The move reflects the administration's broader AI Action Plan, which rests on accelerating innovation, building U.S. infrastructure, and extending U.S. leadership internationally.

The financial backdrop is exceptional capital intensity rather than a conventional company earnings story. Stanford's 2026 AI Index estimates U.S. private AI investment reached $285.9 billion in 2025—over 23 times reported private Chinese investment—while generative AI captured nearly half of private AI funding. The index also reports Google annual capital expenditure above $150 billion in 2025, an indication of the scale of infrastructure competition among large cloud firms.

At the macro level, the IMF estimates AI-related technology investment added about 0.5 percentage point to U.S. GDP growth in 2025, and cites external estimates that global private-sector AI investment could exceed $2 trillion in 2026. Those figures help explain the political appeal of presenting AI as an economic and strategic contest.

An Industry at an Inflection Point

The companies that signed the accord—Nvidia, OpenAI, Google, Meta, Anthropic, and X—illustrate where the AI economy is concentrated. Nvidia supplies critical computing infrastructure, while OpenAI and Anthropic develop frontier models. Google, Meta, and X bring mass-market distribution and cloud capacity. No significant leadership change or formal corporate restructuring was announced as part of the White House event; the relevant governance shift is instead the commitment to new or strengthened internal safety teams, outside reviews, and independent board committees at participating companies.

The agreement has intensified a familiar policy split. Supporters see it as a pragmatic way to preserve U.S. innovation, avoid slowing an emerging general-purpose technology, and begin establishing common safety practices among the most consequential firms. Critics argue that voluntary corporate controls lack enforceable standards, public transparency, independent regulator access, and penalties for failure. The accord requires external assessment but does not require public disclosure of the results or set out government enforcement.

Workers, educators, creative professionals, consumers, civil-rights groups, and communities hosting data centers have overlapping concerns about employment disruption, misinformation and fraud, privacy, bias, copyright, energy use, and local infrastructure costs. The IEA says data-center electricity use could rise from about 415 TWh in 2024 to about 945 TWh in 2030—just under 3% of global electricity consumption. Accelerated servers, chiefly associated with AI use, are projected to grow electricity consumption about 30% annually in its base case.

A Shift from the Biden Era

Trump's approach represents a marked turn from the prior federal policy framework. On returning to office in January 2025, he rescinded the Biden-era AI executive order that had created broader safety and reporting guardrails. The administration has subsequently emphasized removing barriers to American AI leadership, expanding infrastructure, and advancing voluntary rather than prescriptive controls.

A separate July 2025 executive order created a program to export "full-stack" American AI packages—hardware, servers, cloud services, models, data infrastructure, and cybersecurity components—to allies and partners, subject to export-control and end-user rules. Meanwhile, U.S. controls continue to restrict advanced computing chips and related systems to China and certain other destinations, while the administration has also sought to prevent Chinese-headquartered firms from obtaining leading chips through overseas subsidiaries.

At the same time, U.S. and Chinese officials discussed a possible AI dialogue in September focused on national-security concerns, though export controls on high-end chips were not part of those talks. This creates a dual policy: promote U.S. AI technology abroad among partners while limiting adversaries' access to the most strategically significant compute.

Trump's comparison has precedent in the way policymakers have described earlier "general-purpose technologies": steam power and electrification during the Industrial Revolution; mass production; the personal computer; and the internet. In all of those cases, the biggest societal effects came not merely from the underlying invention but from complementary investments—factories or grids, skills, organizational change, standards, and regulation.

The IMF's analysis captures the central uncertainty: AI may boost productivity and output over coming years, but physical and organizational bottlenecks—especially energy, grids, data centers, and the persistence of jobs requiring human presence—can constrain the payoff. The near-term policy debate will center on whether the accord produces verifiable protections or functions mainly as self-regulation. Congressional action is possible but uncertain; the accord explicitly leaves open the prospect of later laws or regulations.