President Donald Trump signed an executive order last week directing federal agencies to remove the term "artificial intelligence" from official communications, websites, and policy documents, replacing it with "Super Intelligence," or SI. The rebranding signals a starkly different vision of how the U.S. government wants Americans to view one of the world's most consequential technologies.
Trump argued that the word "artificial" makes the technology sound "fake." The White House called the shift recognition of the field's rapidly advancing capabilities and "limitless opportunities." It's a move that puts perception management ahead of policy substance: the government is renaming a technology without changing how it regulates, deploys, or holds it accountable.
Federal agencies are scrambling to build frameworks for governing AI systems that already affect hiring, loan approvals, criminal sentencing, and benefit eligibility for millions of Americans. Yet the rebranding focus raises a basic question: what's actually changing in government oversight of these powerful tools?
The Naming Game Across Borders
China offers a telling contrast. Its terminology for the technology has long carried different connotations, putting humans, rather than artificiality, at the center of the relationship between people and intelligent machines. That philosophical divide—humans first, not machine capability first—shapes how each country approaches regulation, deployment, and the social risks these systems pose.
The term "artificial intelligence" dates to 1956 and carries 70 years of history and shared meaning in scientific and policy circles. A new label can't erase the basic question: Who benefits from these systems, and who bears the risks? That's still the policy question that matters.
What the Rebranding Obscures
The order signals that the Trump administration sees AI mainly through the lens of opportunity and growth, rather than protection for workers, consumers, and marginalized communities facing algorithmic harms. By renaming the field to stress "limitless opportunities," the administration sidesteps harder conversations about algorithmic bias in hiring, discrimination in lending, and the concentration of AI power among a handful of corporations.
Federal agencies still lack comprehensive oversight authority. Workers still face opaque algorithmic management systems. Communities affected by biased AI still struggle to understand or challenge decisions made about them. A new name doesn't fix those structural gaps. It hides them.
The White House presents rapid technological advancement as inherently positive, with no need for friction or democratic debate. That's a choice—one that favors innovation velocity over precaution, and corporate interests over institutional accountability.
Why This Matters:
Rebranding shapes how societies think about technology, but it can also pull attention away from urgent governance questions. When the administration spends effort on renaming instead of regulating algorithmic systems affecting housing access, employment, credit, and criminal justice, its priorities are clear. The U.S. and China are taking different conceptual approaches to AI—one stressing machine capability and "opportunity," the other human agency. But both face the same challenge: ensuring powerful automated systems serve broad public interests, not narrow commercial ones. Renaming the field won't resolve that tension. It papers over it.