President Donald Trump signed an executive order last week directing federal agencies to replace “artificial intelligence” with “Super Intelligence” in official communications, websites and policy documents. The shift reflects a deliberate choice about how America frames one of the world’s most consequential technologies. It also carries real implications for how government, business and the public understand their relationship with increasingly powerful systems.
Trump’s reasoning is straightforward: the word “artificial” undermines confidence in the technology. “It makes one of the world’s most consequential technologies sound ‘fake,’” according to the White House rationale. Rather than apologize for human ingenuity, the administration wants terminology that reflects what’s happening: rapid advancement with what the White House described as “limitless opportunities.”
The Messaging Strategy
Language matters in policy. What we call something shapes how regulators approach it, how investors price it and how the public sees its role in their lives. By directing federal agencies to adopt “Super Intelligence,” the administration signals confidence in the technology’s trajectory and rejects framing that treats advanced computing systems as mere knockoffs of human thought.
This isn’t academic semantics. Government communications drive perception across markets, media and public discourse. When federal agencies—from the Commerce Department to the Defense Department—use official terminology, it becomes the baseline for serious policy discussion. Replacing “artificial” with language emphasizing capability and scale shifts the conversation from skepticism to opportunity.
The term “AI” has a 70-year history, dating to its coining in 1956, and has accumulated cultural baggage along the way. That baggage includes fears, regulatory impulses and assumptions baked into decades of science fiction and speculative writing. Fresh terminology lets policymakers build frameworks around what the technology actually does, rather than what people fear it might do.
Contrasting Approaches Across the Pacific
China’s approach to naming the same technology has long reflected a different philosophical orientation. Rather than emphasizing a machine’s artificial nature or superhuman capabilities, China’s terminology places humans at the center of the relationship between people and intelligent systems. That choice isn’t accidental; it reflects how each nation sees the technology’s proper role in society.
The contrast reveals more than a difference in words. It shows two competing visions of technological governance: one emphasizing human agency and control (China’s framing), and one emphasizing innovation and unleashed capability (America’s pivot under Trump’s order). Neither approach is neutral. Both are calculated choices about which incentives to strengthen and which concerns to downplay.
Why This Matters:
Terminology in federal policy carries weight far beyond words. When government adopts “Super Intelligence” rather than “artificial intelligence,” it signals a regulatory philosophy that prioritizes innovation and market development over precautionary restriction. That matters for venture capital allocation, agency oversight frameworks and how American companies compete against international rivals who may face different regulatory vocabularies at home. The executive order shows how naming conventions can function as soft policy, shaping institutional behavior and market incentives without requiring legislation.
As AI development accelerates globally, the country that frames the technology most compellingly—not just in English, but through its regulatory language—may gain significant advantage in talent attraction, business formation and public confidence. China’s alternative framing shows there’s no universal way to think about these systems. Different nations are making deliberate choices about how to position themselves relative to transformative technology.