The Honest Answer
Did Trump Really Rename AI “Super Intelligence”?
On September 29, 2026, President Trump signed an executive order telling federal agencies to stop saying “AI.”
From now on, they say “Super Intelligence.” Or just “SI.”
Overnight, a term researchers have long used for a hypothetical future became a government label for today’s chatbots.
Did the technology change? No. The name did.
That gap is the whole story. “Superintelligence” already means something very specific, and nobody credible claims we have built it.
So what does the order actually do? What is superintelligence, really? And is it here, coming, or just a bigger brand name?
If you only want the short version: the label changed, the technology did not.
Let’s separate the facts from the noise, one claim at a time.
What Does the Super Intelligence Executive Order Actually Say?
The document is Executive Order 14434, titled “Inaugurating the Era of Super Intelligence.” Here is what its text does:
Executive branch agencies must use “Super Intelligence” and “SI” instead of “Artificial Intelligence” and “AI” in official communications, websites, reports and policy documents. It defines the new terms as the same technologies already covered by “artificial intelligence” in existing federal law. It gives the president’s science adviser 60 days to propose legislative language for a federal definition. It does not require changing older regulations, contracts or historical documents.
Read the second point again. Legally, this is a new label for the same technology.
The order argues that today’s systems do more than imitate human thinking, and it describes “a new era of Super Intelligence.”
The name was chosen in public. President Trump first polled his social media followers, and “Super Intelligence” beat “Superior Intelligence” by about 65% to 35%, according to DW. He then announced it at the UN General Assembly.
It also applies only to the executive branch. Companies, universities and other countries are not bound by it.
Why Did the White House Rename AI? Supporters vs Critics
President Trump has said the word “artificial” makes the technology sound fake. The White House fact sheet says the new name better conveys its true capabilities.
Supporters welcome it. Nathan Leamer, head of the pro-AI group Build American AI, said he was excited. UN ambassador Michael Waltz said the president was right, according to the BBC.
Critics see a problem. Senator Mark Warner said changing the name does nothing about the real risks of powerful AI, as Forbes reported.
Experts told the BBC the term exaggerates what AI can do today and borrows the prestige of a word reserved for a much bigger leap.
Computer scientist Pedro Domingos told DW that most AI “is not superintelligence.” He added that US labs benefit from grander names, because they play up capabilities.
The public is not sold yet. A late-September YouGov poll found 53% preferred “artificial intelligence” and 9% preferred “super intelligence,” as New York Magazine reported.
Even the safety side is uneasy. One AI-safety group told the Daily Signal the rename muddies the line between today’s tools and true superintelligence.
Will the name stick? That depends who you ask.
The term “artificial intelligence” is older than most people realize. It was coined in 1956 at a summer workshop at Dartmouth College. “Artificial” simply meant made by humans, as opposed to natural, DW explains.
Even then, some pioneers disliked it. Arthur Samuel reportedly felt the name suggested something phony.
Some tech leaders are already on board. Axios reported that Mark Zuckerberg has long used the word “superintelligence,” and that Nvidia’s Jensen Huang appears to be leading the push, according to New York Magazine. CNET reported that Elon Musk plans to rename his company SpaceXAI to SpaceXSI.
Others are not. Canada’s AI minister Evan Solomon said Canadians are not enthusiastic about renaming things. And DW notes that China has shown no sign of leaving “AI.”
What Is Superintelligence? Is It the Same as AI?
No. They are not the same thing.
Philosopher Nick Bostrom’s definition describes an intellect much smarter than the best human brains in practically every field. That includes scientific creativity and social skills.
Three terms get mixed up constantly:
Narrow AI: systems that excel at specific tasks, like writing code or answering questions. This is what exists today. AGI (artificial general intelligence): a hypothetical system with human-level skill across most intellectual tasks. ASI (artificial superintelligence): a hypothetical system that goes well beyond the best humans, almost everywhere.
Is a chatbot superintelligent? No. A chatbot can win a math contest and still fumble a simple task.
Think of a calculator. It crushes you at arithmetic, yet nobody calls it a genius.
Superintelligence is a claim about breadth, not one skill. And as the BBC noted, it remains entirely hypothetical.
So which meaning does the White House intend? New York Magazine asked the same question and called it unclear. The order’s own definition simply points back to existing AI law.
The science adviser’s 60-day proposal could change that. Politico reported that Michael Kratsios, director of the Office of Science and Technology Policy, will lead the review. Watch what definition emerges, because it will decide whether the new word means anything new.
Is Superintelligence Here Yet? What the Evidence Shows
The progress is real. Stanford’s 2026 AI Index says frontier models now meet or exceed human baselines on PhD-level science questions and competition mathematics.
On a coding benchmark called SWE-bench Verified, scores rose from about 60% to near 100% in one year.
Agents are improving too. The International AI Safety Report notes that AI agents can now reliably complete some programming tasks that take a human about half an hour. A year earlier, that was under ten minutes.
On Terminal-Bench, which tests real-world command-line tasks, agent success jumped from 20% to 77.3%.
The AI Index also reports cybersecurity agents solving problems 93% of the time, up from 15% in 2024.
Now the other half of the story. The same report says AI still struggles with telling time, and robots succeed in only 12% of real household tasks.
The International AI Safety Report calls this pattern “jagged.” Leading systems can ace hard problems and fail at simple ones.
Benchmarks can also mislead. Stanford researchers examined 56 widely used tests and found they do not always measure what they claim.
And real work is messier than test scores. In a METR randomized trial, experienced developers took 19% longer with early-2025 AI tools. They believed it had sped them up.
METR has since said newer tools likely help more. Even so, the lesson stands.
The answer: no system has shown broad, reliable superiority over the best humans. Superintelligence has not been demonstrated.
When Will Superintelligence Arrive? What Experts Predict
Nobody knows. But the forecasts are worth reading.
In a 2023 survey of 2,778 AI researchers, the combined forecast gave a 10% chance that machines outperform humans at every task by 2027. It gave 50% by 2047.
METR also found that the length of tasks AI can finish has been doubling roughly every seven months since 2019.
Notice the wording of the survey. That describes human-level performance on all tasks, closer to AGI than to superintelligence.
The survey’s authors warn that predictions like these are not a reliable guide to objective truth. The paper also found the median respondent did not expect a sudden “intelligence explosion.”
What is an intelligence explosion? It is the idea that AI could get good enough at AI research to build a better AI, which builds a better one, and so on.
It is a theory, not an observed event.
Industry voices are bolder. DW reports that Elon Musk has predicted AI learning could be automated with limited human input by the end of this year or 2027. OpenAI thinks it could take about a year longer.
Even then, DW notes, systems would not be fully self-improving. Jürgen Schmidhuber argues that full recursive self-improvement needs self-improving hardware in the physical world too.
Different people, different incentives, very different timelines. That is what real uncertainty looks like.
Is Superintelligence Dangerous? Why Governments Are Fighting Over It
Start with what exists now. The International AI Safety Report documents AI tools used in real cyberattacks, and says the loss-of-control scenarios people fear are beyond what current systems can do.
But those systems are improving in relevant areas. And models increasingly tell test settings from real deployment, which makes dangerous abilities easier to miss.
Politics is catching up fast. DW reports that Senator Bernie Sanders co-introduced a bill to permanently ban development of artificial superintelligence humans cannot control. It also calls for a pause until federal testing and oversight are in place.
Public opinion leans cautious. DW cites a CNN/SSRS poll in which nearly nine in ten Americans were more concerned than excited about AI surpassing human intelligence.
A group including AI pioneers Yoshua Bengio and Geoffrey Hinton signed a Statement on Superintelligence. It calls for a prohibition until there is broad scientific consensus on safety and strong public buy-in. Other signers include Steve Wozniak and five Nobel laureates.
Not everyone agrees. Researchers Arvind Narayanan and Sayash Kapoor argue AI is a transformative but normal technology, and drastic measures could backfire if they are right.
On the industry side, Forbes reported that top AI executives met the president on the day of the order and signed a “morally binding” accord to improve controls and internal audits.
The administration sees it differently. Trump has called some of the warnings a hoax, and he has argued the US cannot give China an advantage in AI, according to the BBC.
His reasoning is competitive. The BBC reports he has said whichever country wins at AI wins overall.
Both sides are making arguments about policy. Neither changes what the technology can do today.
Is Superintelligence Hype or Real? How to Judge Any AI Claim
Here is the lesson hiding inside this story. A label is not a result.
You can rename a technology in a day. You cannot rename its capabilities.
Superintelligence talk often mixes four different kinds of claims:
Independent result: outsiders can reproduce it. Company announcement: a report on the company’s own product. Forecast: an extrapolation from past trends. Marketing or branding: designed to persuade.
The rename is the fourth kind. It tells you how someone wants you to feel about AI, not what AI can do.
Disclosure matters too. The AI Index found the Foundation Model Transparency Index fell from 58 to 40, with the most capable models often disclosing the least.
It also reports that industry produced over 90% of notable frontier models in 2025. The builders are often the ones reporting.
Even good measurement admits its limits. METR warns that a 2-hour time horizon does not mean an AI can do every 2-hour task.
Before you believe the next big claim, ask:
Who ran the test?
What was left out?
How often did it fail?
Could anyone outside the company repeat it?
So, is superintelligence here? On today’s evidence, no. Is it possible? Serious researchers disagree, and the honest answer is that nobody can say for sure.
Progress is real. Risks are real. Hype is real too.
The name changed in a day. The proof will take much longer.
Sources and Further Reading
Inaugurating the Era of Super Intelligence (Executive Order 14434), The White House. Primary document. Supports what the order says and does. https://www.whitehouse.gov/presidential-actions/2026/09/inaugurating-the-era-of-super-intelligence/
Fact Sheet: President Donald J. Trump Inaugurates The Era of Super Intelligence, The White House. Primary document. Supports the administration’s stated reasoning. https://www.whitehouse.gov/fact-sheets/2026/09/fact-sheet-president-donald-j-trump-inaugurates-the-era-of-super-intelligence/
Trump wants AI to be rebranded as super intelligence. Will it work?, BBC News. Reporting. Supports expert and political reactions. https://www.bbc.com/news/articles/cqy4z9pv4w0po
Why Trump wants to rebrand AI as ‘Super Intelligence’, DW. Reporting. Supports the naming history, polls, Sanders bill, and industry timelines. https://www.dw.com/en/trump-pushes-for-ai-rebrand-as-super-intelligence/a-79430388
‘Super Intelligence,’ Trump’s Dopey AI Rebrand, Explained, New York Magazine. Reporting. Supports the YouGov poll and industry adoption. https://nymag.com/intelligencer/article/super-intelligence-trump-ai-rebrand-explained.html
Trump Signs Executive Order Renaming AI To ‘Super Intelligence’: Here’s What It Changes, Forbes. Reporting. Supports the Warner reaction and the industry accord. https://www.forbes.com/sites/siladityaray/2026/09/30/trump-signs-order-renaming-ai-to-super-intelligence--heres-what-it-says/
Trump Says He’ll Sign Order Renaming Artificial Intelligence ‘Super Intelligence’, The Daily Signal. Reporting. Supports supporter and safety-group reactions. https://www.dailysignal.com/2026/09/29/trump-says-hell-sign-order-renaming-artificial-intelligence-superintelligence/
Trump signs executive order renaming AI to ‘super intelligence’, Politico. Reporting. Supports the definition review. https://www.politico.com/news/2026/09/29/trump-signs-executive-order-renaming-ai-to-super-intelligence-01098494
How Long Before Superintelligence?, Nick Bostrom. Philosophical paper. Supports the definition. https://nickbostrom.com/papers/how-long-before-superintelligence/
Inside the AI Index: 12 Takeaways from the 2026 Report, Stanford HAI. Annual data report. Supports capability, limitation, and transparency figures. https://hai.stanford.edu/news/inside-the-ai-index-12-takeaways-from-the-2026-report
The Tests That Grade AI May Be Getting It Wrong, Stanford HAI. Researcher interview. Supports the benchmark validity point. https://hai.stanford.edu/news/the-tests-that-grade-ai-may-be-getting-it-wrong
International AI Safety Report 2026, International AI Safety Report team. Expert assessment. Supports jagged capabilities and present vs. future risks. https://internationalaisafetyreport.org/publication/international-ai-safety-report-2026
Thousands of AI Authors on the Future of AI, AI Impacts and collaborators. Survey research. Supports the expert forecasts. https://arxiv.org/abs/2401.02843
Measuring AI Ability to Complete Long Software Tasks, METR. Original research. Supports the time-horizon doubling finding. https://arxiv.org/abs/2503.14499
Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity, METR. Original research. Supports the 19% slowdown finding. https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/
Task-Completion Time Horizons of Frontier AI Models, METR. Live data page. Supports the measurement caveat. https://metr.org/time-horizons/
Statement on Superintelligence, Future of Life Institute. Advocacy statement. Supports the call for a prohibition. https://superintelligence-statement.org/
AI as Normal Technology, Narayanan and Kapoor, Knight First Amendment Institute. Argument. Supports the skeptical case. https://knightcolumbia.org/content/ai-as-normal-technology