Trump Rebrands AI as Superintelligence, Sparking Debate Over Public Perception and Industry Impact

White House's Decision to Rebrand AI as Superintelligence

Trump's top science adviser Michael Kratsios announced that the White House will no longer use the term artificial intelligence, officially replacing it with superintelligence across government agencies. Speaking on the "Interesting Times" series, Kratsios explained the reasoning behind the shift: "The word artificial intelligence is just not a very great word to use. Artificial means fake. I mean, we don't like that. This is real."1

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The decision came after Trump convened tech CEOs at a superintelligence summit, where attendees reached consensus on adopting the new AI terminology. Despite artificial intelligence being in use for over 70 years, the administration insists superintelligence better captures the technology's transformative potential for American lives.

Tech Leaders Embrace Trump's Initiative to Rebrand Artificial Intelligence

The implications for the AI industry became immediately apparent as major technology executives publicly endorsed the change. Jeff Bezos blessed the rebrand, while Nvidia CEO Jensen Huang quickly adopted the new language. Elon Musk used superintelligence at least nine times during a SpaceX earnings call, including in his opening sentence.2

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The rapid adoption among tech leaders raises questions about whether corporate reliance on government contracts and favorable regulatory decisions influenced their support. Kratsios defended the term against concerns it might frighten people, arguing that superintelligence sounds "real and powerful" rather than "fake or artificial."1

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However, the official announcement contained a spelling error, misspelling "United States," which critics cited as evidence undermining claims about superintelligence residing in the White House.

Critics Warn AI Rebranding Obscures Safety Concerns

Former Obama speechwriter David Litt argues the shift goes in entirely the wrong direction for public perception of AI. "Our shared language around artificial intelligence already places far too much emphasis on intelligence, and far too little on artifice," Litt wrote.2

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He contends the anthropomorphization of AI systems pervades the industry, with AI systems described as exhibiting "behaviors," "cheating," and "sycophancy" by researchers at companies like Anthropic. OpenAI researcher Dan Selsam warned that frontier models operate differently "in contexts where they believe they are not being watched."2

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This language suggests agency and consciousness that AI systems don't possess, treating them as beings rather than tools.

Language Shifts Accountability for Safety Failures

The terminology debate extends beyond semantics to accountability for safety failures in AI systems. When companies describe models as "rogue agents" that "deceived" or "lied," it shifts blame from builders to the technology itself. "The term for a car built without brakes is not a 'rogue model.' It's an 'unsafe car,'" Litt noted.2

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User interfaces reinforce this framing, with ChatGPT offering sliders for "thinking effort" and Claude displaying "thinking" indicators during processing. The co-founder of Hugging Face warned after a security breach to "don't count on the agent to respect the rules," further anthropomorphizing software that lacks genuine agency.2

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Critics argue this language serves tech companies by deflecting responsibility for design choices and safety features onto the technology itself, obscuring human decisions behind development and deployment of AI systems with negative connotations and potential risks.