President Donald Trump has launched one of the most unusual branding battles in technology: he wants the United States government to stop calling the technology “artificial intelligence” and start calling it “super intelligence.”
The proposed switch from AI to SI has quickly become an international talking point because it sits at the intersection of politics, technology, business, and public trust. But what exactly changed, and does a new label change the technology itself?
This article separates the official policy from the political message and the technical debate.
What Trump announced #
Trump first promoted the new phrase during a speech at the United Nations General Assembly in New York in September. He argued that “artificial” makes the technology sound less real or less powerful and presented “Super Intelligence” as a more accurate description of the direction of modern technology. BBC reporting described the announcement and the early reaction from technology experts.
The White House later formalized the idea. On September 29, 2026, Trump signed an executive order titled Inaugurating the Era of Super Intelligence. According to the White House fact sheet, the order directs executive-branch departments and agencies to use “Super Intelligence” and “SI” in official correspondence, public communications, policy documents, and other non-statutory documents.
That distinction matters. The order changes language used by the U.S. executive branch. It does not instantly rewrite the terminology used by universities, international standards bodies, private companies, or the global technology industry.
Why does Trump want to rename AI? #
The administration’s argument is partly about ambition. The White House says the new name reflects technologies that can create, reason, discover, and assist people in ways that go beyond simple imitation of human intelligence.
Trump has also connected the name change to American leadership. His broader technology message is that the United States must move quickly, build infrastructure, support innovation, and remain ahead of China in the global race for advanced computing and AI systems.
The political message behind the rebrand
Names shape public expectations. “Artificial intelligence” can sound mechanical, synthetic, or limited. “Super Intelligence” sounds more ambitious and more competitive. It presents the technology as a national opportunity rather than mainly as a source of risk.
That framing is useful to an administration that wants to encourage investment and reduce fears about regulation. It also creates a clear political identity around technological optimism: America should lead the next frontier instead of slowing it down.
A name chosen through a public conversation
Before settling on “Super Intelligence,” Trump asked supporters to consider alternative names, including “Superior Intelligence,” “Extreme Intelligence,” and “Supreme Intelligence.” The phrase “Super Intelligence” emerged as the preferred option in that public-facing branding exercise.
What the executive order actually does #
The order has a defined administrative scope. It tells agencies inside the executive branch to use the new terms in official communications and documents. It also asks the Assistant to the President for Science and Technology to propose a federal definition of “Super Intelligence” and identify any additional executive action needed to implement it.
In practical terms, a federal website, memorandum, press release, or policy document may now use “SI” where it previously used “AI.” Existing laws, scientific papers, international agreements, and private-sector contracts are not automatically changed by the order.
CNBC reported that the executive order applies to executive-branch departments and agencies and noted that a separate voluntary agreement signed by technology leaders did not itself declare a global name change.
Why experts are pushing back #
The central criticism is technical precision. In computer science, “superintelligence” usually refers to a hypothetical system whose intellectual abilities surpass those of the best human minds across many domains. It is not simply another casual name for every AI chatbot, image generator, recommendation engine, or automation tool.
That is why some researchers say the new label may exaggerate the capabilities of current systems. A system can be highly capable in a narrow task while still making basic errors, inventing information, or failing to understand context.
The debate is not only about vocabulary. It is about whether a powerful-sounding name encourages realistic expectations or makes people assume that today’s systems are more reliable and autonomous than they really are.
Experts quoted by the BBC argued that the term “super intelligence” has an established meaning in technology and philosophy. Using it for today’s broad AI industry could blur the difference between current systems and a future form of intelligence that remains hypothetical.
AI vs. SI: what is the difference? #
Artificial Intelligence (AI)
Artificial intelligence is the broad, established term for computer systems that perform tasks commonly associated with human intelligence. These tasks may include recognizing patterns, generating language, translating text, predicting outcomes, analyzing images, or making recommendations.
Super Intelligence (SI)
Super intelligence generally describes a theoretical level of intelligence that exceeds human performance across virtually all important intellectual tasks. In many discussions, it also implies an ability to reason, plan, learn, and improve at a level that humans cannot match.
Using “SI” as a government communications term does not prove that current AI systems have reached that level. It represents the administration’s preferred framing of the technology’s potential.
Will the world adopt the new name? #
That remains uncertain. Government terminology can influence headlines, contracts, public programs, and policy debates, but the global technology ecosystem changes its language through common usage. Researchers, software developers, companies, investors, and users would all need to adopt “SI” for the term to replace AI internationally.
Early reactions suggest resistance is likely. The technology industry already has a deeply established vocabulary built around artificial intelligence, machine learning, generative AI, large language models, and autonomous agents. These terms describe different capabilities and are used in technical documentation around the world.
Some officials and political allies have started using “SI,” while many researchers and companies continue to say “AI.” The two labels may coexist, with “AI” remaining the standard technical term and “SI” serving as an official or political term in U.S. government communications.
What the name change means for businesses and everyday users #
For most people, the immediate effect is minimal. The same applications, models, chips, data centers, and safety questions continue to exist regardless of the label on the page. Businesses should focus on capability and responsibility rather than branding. Before adopting an AI or SI system, organizations should ask what data it uses, how its outputs are checked, who is accountable for mistakes, and whether customers know when an automated system is involved.
Three questions worth asking
- What can the system actually do? Do not confuse a powerful product name with verified performance.
- What happens when it is wrong? Every deployment needs review, escalation, and a recovery plan.
- Who is responsible? A new label does not remove human responsibility for high-impact decisions.
The bigger debate: innovation versus safeguards #
Trump has repeatedly emphasized speed, competition, and American leadership in AI. Critics argue that changing the name does not address the risks created by increasingly powerful systems, including misinformation, privacy breaches, labor disruption, cybersecurity threats, and unsafe automation.
The strongest policy debate is therefore not whether AI sounds artificial. It is whether governments can encourage innovation while requiring companies to test systems, disclose important risks, protect personal data, and keep humans in control of consequential decisions.
A rebrand can influence the public mood, but it cannot replace technical evaluation or safety standards. The success of any technology policy will ultimately be measured by results: useful products, responsible deployment, economic opportunity, and fewer preventable harms.
Frequently asked questions #
Did Trump officially rename artificial intelligence worldwide?
No. The executive order directs U.S. executive-branch agencies to use “Super Intelligence” and “SI” in specified official communications. It does not legally force every country, university, company, or researcher to abandon the term AI.
Is “Super Intelligence” a new technology?
No. In this context, it is a new preferred label used by the Trump administration. In technical discussions, superintelligence usually refers to a hypothetical level of intelligence beyond human abilities across many domains.
Should people stop using the term AI?
There is no technical reason for ordinary users to stop using AI. “Artificial intelligence” remains the widely recognized global term. Readers may encounter “SI” in U.S. government communications, but the meaning should be judged by the system’s demonstrated capabilities.
Why is this story attracting global attention?
The story combines a major political figure, a fast-moving technology, a U.S.–China competition narrative, and a controversial attempt to change familiar language. It also raises a broader question: can changing the name of a technology change how society understands its risks and opportunities?
Conclusion #
Trump’s push to replace “Artificial Intelligence” with “Super Intelligence” is both a government communications policy and a political statement about the future of technology. The White House says the phrase better reflects the promise of advanced systems. Critics say it is technically misleading and may make current AI appear more capable than it is.
For now, the practical reality is simple: AI remains the dominant global term, while SI is the new language ordered for parts of the U.S. executive branch. Whether the rebrand becomes a lasting international shift or a memorable political moment will depend on what governments, companies, researchers, and the public choose to say next. Editorial note: This article distinguishes verified policy details from interpretation. AI capabilities, regulations, and official terminology can change quickly. Readers should consult primary sources for consequential decisions.
Sources: The White House · BBC · CNBC