Trump’s Newest Rebranding Project: The Technology Formerly Known as AI

There are few technologies that have entered everyday life as quickly as artificial intelligence.

In just a few years, AI has gone from being a specialized subject discussed mainly by computer scientists and technology companies to something that appears in classrooms, offices, smartphones, search engines, creative tools and government policy debates.

Now, the technology has acquired a new name from the White House.

President Donald Trump has said that the United States should stop calling the technology “artificial intelligence” and instead refer to it as “super intelligence.” He announced the change during his September 22, 2026, address to the United Nations General Assembly, saying that U.S. government documents would use the new terminology and expressing hope that the rest of the world would follow. Reuters+1

The announcement followed several days of Trump publicly experimenting with alternative names for AI.

In a September 19 post, he asked followers to consider terms including “Superior Intelligence,” “Extreme Intelligence” and “Supreme Intelligence.” He also announced plans for an “AI Force” and said he would appoint an AI czar. TechCrunch+1

So what exactly is happening?

Is this merely a change in vocabulary?

Is “super intelligence” actually a more accurate description of today's technology?

Or is the president using a new label to frame the country's rapidly expanding AI industry in a particular way?

The answers require separating Trump's political messaging from the technical meaning of the words involved.

From Artificial Intelligence to “Super Intelligence”

Trump's argument is straightforward.

He has said that the word “artificial” makes intelligence sound fake, whereas the systems being developed today are producing increasingly impressive results.

During his U.N. speech, he argued that “super” was a more accurate term and said the change would be reflected in U.S. government documents. Axios+1

The terminology, however, is not new.

In artificial-intelligence research, superintelligence already has a specific meaning.

The concept generally refers to a hypothetical machine intelligence that would exceed human intellectual abilities across virtually all relevant areas.

Philosopher Nick Bostrom helped popularize the concept, including through his influential work on superintelligence.

That is different from simply saying that today's AI systems are powerful.

In fact, using “superintelligence” to describe every AI system can create technical confusion.

A chatbot that generates text, an image-generation model, an autonomous vehicle system and a hypothetical machine intelligence that surpasses humans across essentially every cognitive domain are not necessarily the same thing.

The distinction matters.

What AI Actually Means

Artificial intelligence is an umbrella term.

It covers a broad collection of techniques and systems designed to perform tasks associated with human intelligence.

Those tasks can include recognizing patterns, generating language, analyzing images, making predictions, translating text, recommending content and assisting with decision-making.

Modern AI systems are extraordinarily capable in some areas.

But capability in one area does not necessarily mean general intelligence.

A system can outperform humans at a particular task while being poor at another.

That is one reason researchers distinguish between different levels and types of AI.

“Artificial intelligence” therefore remains a broad category.

“Superintelligence” traditionally describes something much more specific.

Changing the label doesn't change that technical distinction.

Why Trump Wants a New Name

Trump's decision comes during a period of growing public debate about AI.

The technology industry is investing enormous amounts of money in computing infrastructure and data centers.

Businesses are incorporating AI into their operations.

Governments are exploring its national-security applications.

At the same time, workers, researchers and communities are raising concerns about employment, electricity consumption, misinformation, privacy, copyright, cybersecurity and potential long-term risks.

Trump has consistently emphasized the importance of maintaining U.S. technological leadership.

The White House's March 2026 AI legislative framework described AI leadership as a national priority and called for policies designed to accelerate innovation while addressing issues including children's safety, intellectual property, free speech, energy use and workforce development. The White House

The administration's approach is therefore broader than a simple naming exercise.

The terminology is part of a larger political and economic argument about how the United States should respond to increasingly powerful AI systems.

“Super” Sends a Different Message

Words influence how people think about technology.

“Artificial intelligence” sounds technical and somewhat abstract.

“Super intelligence” sounds more ambitious.

It suggests extraordinary capability, strength and advancement.

That framing fits Trump's broader emphasis on technological competition and American dominance.

In his U.N. remarks, Trump paired the terminology change with a rejection of what he described as international efforts to create a global system of AI control.

He also said the United States would encourage the technology rather than “stifle” its growth. Reuters+1

The message is therefore not simply:

“We are changing a word.”

It is also:

“We want the United States to lead this technology, and we do not want regulation to prevent that growth.”

That is a substantive policy position.

The Rebranding Arrived Amid a Safety Debate

The timing is significant.

Trump's comments came as arguments over AI safety had intensified.

Researchers and executives in the technology industry have raised different concerns about increasingly powerful systems.

Some focus on immediate problems such as misinformation, fraud, job disruption and cybersecurity.

Others worry about longer-term scenarios involving highly autonomous systems whose capabilities could become difficult for humans to control.

Trump has rejected what he views as exaggerated warnings about AI.

Reuters reported that during his U.N. appearance he described fears about catastrophic AI outcomes as a “hoax” and said he would not slow a technology he believes could become more consequential than the Industrial Revolution. Reuters

The administration has nonetheless indicated that existing criminal and civil law can be used to address harmful behavior.

That produces an interesting tension.

Trump is advocating rapid technological growth while also saying that government will monitor how the technology is used.

The question is how that oversight should work.

The AI Force

The naming debate has also been accompanied by a proposed organizational change.

On September 19, Trump announced plans to create an “AI Force” modeled on the Space Force.

He did not initially provide detailed information about its responsibilities, budget or exact place within the federal government.

He also said he intended to appoint an AI czar. Axios+1

The announcement immediately raised practical questions.

What would an AI Force actually do?

Would it be a military organization?

A civilian technology agency?

An interagency coordination body?

Would it oversee research?

Would it focus on national security?

Would it operate existing AI systems or simply coordinate programs across government?

Those questions remained unanswered in the reporting available after Trump's announcement.

The comparison with the Space Force is also notable because Space Force is an actual military service created by Congress.

Creating an organization with similar status would require substantially more than a social-media announcement.

For now, “AI Force” is best understood as a proposed initiative whose precise structure has yet to be established.

A New AI Czar

Trump's proposed AI czar would similarly represent an attempt to put a recognizable person in charge of coordinating the administration's AI strategy.

The role is not entirely new.

David Sacks previously served as the administration's AI and crypto czar before leaving the formal position in March 2026. He remained influential afterward as co-chair of the President's Council of Advisors on Science and Technology, according to reporting from Axios. Axios

Trump has not yet fully explained what the new czar's authority would encompass.

That matters because AI policy crosses numerous government departments.

Energy agencies are involved because data centers consume enormous quantities of electricity.

Defense agencies are involved because AI has military and intelligence applications.

Commerce agencies are involved because AI affects technological competitiveness and trade.

Education agencies are involved because schools and universities are adapting to generative AI.

Labor officials have an interest because automation and AI-assisted work could alter employment.

Justice officials are relevant because AI can be used in fraud, cybercrime and other illegal activities.

A single coordinator could potentially help align these efforts, but the effectiveness of such a role would depend on its authority and resources.

The Government's Existing AI Framework

The administration's March 2026 framework shows that its AI strategy extends well beyond terminology.

The White House identified six broad objectives.

These include protecting children, strengthening communities, protecting intellectual property, defending free speech, promoting AI innovation and developing an AI-ready workforce. The White House

The framework also addressed energy infrastructure.

The administration argued that communities and ratepayers should not bear the costs of powering private data centers and proposed changes to permitting and energy production.

This highlights a fundamental reality about modern AI.

AI is not only a software story.

It is also an infrastructure story.

Large AI models require massive amounts of computing power.

That computing power requires specialized chips.

Those chips operate in data centers.

Data centers require electricity, cooling systems, land, networking infrastructure and often new power-generation capacity.

The debate over AI therefore increasingly includes questions that have little to do with chatbots themselves.

The Data Center Problem

Data centers have become one of the most visible physical manifestations of the AI boom.

A consumer may interact with an AI model through a smartphone without thinking about the infrastructure behind the response.

But every query ultimately depends on computing hardware somewhere.

As AI models become larger and more sophisticated, demand for computing capacity grows.

That has produced concerns about electricity consumption and local infrastructure.

Trump has pushed back against criticism of data-center development.

In a September 19 post, he argued that opposition to AI and data centers was being driven by political opponents and said he would support the industry's growth. TechCrunch reported that his claims about the motivations behind opposition were not accompanied by evidence and noted that opposition to data centers has involved people from both political parties. TechCrunch

That is an important distinction.

There can be genuine disagreements about AI infrastructure without those disagreements being reducible to one political party's position.

Public Anxiety About AI

The administration's enthusiasm for AI exists alongside public concerns.

Axios reported that a September 2026 New York Times-Siena poll of 1,503 likely voters found 61% opposed building data centers to power AI, including majorities among both Republicans and Democrats. An AP-NORC-University of Chicago poll found 53% were highly concerned about AI's environmental impact. Axios

These measurements are not proof that Americans have reached one unified opinion about AI.

They show something more interesting: enthusiasm among technology and government leaders can coexist with significant public uncertainty.

People may appreciate AI's convenience while worrying about its consequences.

Someone might use an AI assistant every day while simultaneously worrying about electricity use.

Another person might welcome AI productivity tools while fearing job displacement.

Someone else might be fascinated by the technology but concerned about deepfakes.

Those aren't necessarily contradictory views.

They reflect the complexity of a technology that can create benefits and risks at the same time.

Why “Super Intelligence” Could Be Confusing

The most obvious technical problem with Trump's terminology is that “superintelligence” already has a meaning.

Researchers have used the term for years to describe systems that would surpass humans across broad domains.

That hypothetical technology should not automatically be confused with current AI.

Defense One explained that superintelligence is generally understood as intelligence greatly exceeding human cognitive performance across many domains, while today's AI systems remain far more specialized. Defense One

This matters because language influences policy.

If policymakers call every AI system “superintelligence,” they may blur distinctions between:

• Today's generative AI.

• Artificial general intelligence.

• Highly autonomous systems.

• Hypothetical artificial superintelligence.

Those technologies could involve very different risks and policy questions.

What AI Actually Means

A calculator and a hypothetical machine vastly smarter than humans would both involve computation, but nobody would treat them as equivalent technologies.

The same principle applies here.

There Is Another Twist: The Term Is Already Being Used

Trump's proposed terminology is also not unique.

Companies and researchers have already used “superintelligence” in their names and descriptions.

For example, Ilya Sutskever, OpenAI's former chief scientist and co-founder, founded a company called Safe Superintelligence.

Meta has also used “Superintelligence Labs” for its AI research organization.

These uses predate Trump's September announcement. BankInfoSecurity

That means the term isn't simply a presidential invention.

It already belongs to the vocabulary of the technology industry.

The unusual part is the proposal to use it as a broad replacement for “artificial intelligence” in official U.S. government documents.

What Happens to the Word “AI”?

Probably very little in everyday life.

People are unlikely to stop saying “AI.”

The abbreviation is already deeply embedded in popular culture and business language.

Companies describe AI products.

Schools discuss AI literacy.

Researchers publish AI papers.

Consumers search for AI tools.

News organizations have entire technology sections devoted to AI.

A government preference for “super intelligence” doesn't automatically change the vocabulary of millions of people.

It may, however, change the terminology used in official government documents.

Trump specifically said U.S. government documents would use the new term. Axios

Whether other countries, technology companies or researchers adopt the terminology is a separate question.

Xi Jinping and the International Dimension

Trump has also taken the rebranding idea into the realm of international diplomacy.

The Washington Post reported that Trump said he had pitched the new terminology to Chinese President Xi Jinping after a state dinner involving Xi and technology executives.

According to the report, Xi has not publicly endorsed the terminology, and Chinese interpreters have continued using the Chinese term for artificial intelligence in their remarks. The Washington Post

That detail is significant because AI is increasingly treated as a strategic technology.

The United States and China are competing over semiconductor manufacturing, computing infrastructure, research talent and advanced AI capabilities.

The terminology therefore arrives within a much larger geopolitical competition.

Calling the technology “super intelligence” may be rhetorically useful in emphasizing its strategic importance.

But terminology alone doesn't determine technological leadership.

That depends on research, talent, chips, energy, capital, infrastructure, education and the ability to deploy systems effectively.

The Politics of Optimism

Trump's AI messaging has been consistently optimistic.

He has emphasized growth, innovation and American leadership.

That approach contrasts with voices calling for stricter limits or stronger safety requirements.

The disagreement is not merely about whether AI is good or bad.

It is about how society should manage a technology whose capabilities are developing quickly.

One side of the debate emphasizes opportunity.

AI could increase productivity, accelerate scientific research, improve software development and create new industries.

Another side emphasizes risk.

AI could contribute to fraud, misinformation, cyberattacks, labor disruption and other harms.

Some researchers also worry about more extreme future scenarios.

The policy challenge is determining how to encourage beneficial applications without ignoring genuine risks.

Regulation Versus Innovation

Trump's administration has repeatedly emphasized avoiding regulations that could slow the U.S. AI industry.

The March White House framework called for removing outdated or unnecessary barriers and accelerating deployment while addressing safety and other concerns. The White House

The administration's position is that America needs to move quickly because technological leadership has economic and national-security implications.

Critics of lighter regulation argue that some AI risks may become harder to address after systems are widely deployed.

The disagreement is fundamentally about timing.

How much oversight should happen before a technology becomes widespread?

How much experimentation should be allowed?

Which risks justify intervention?

Which rules would protect people without preventing innovation?

Those are difficult questions with no simple answer.

The Meaning of “Guardrails”

Trump has not argued that AI should have no oversight whatsoever.

Axios reported that he has said he is open to “guardrails,” while emphasizing that he does not want government regulation to prevent growth. Axios

That distinction is important.

“Guardrails” can mean many different things.

They might involve criminal penalties for fraud.

They might involve requirements concerning children's safety.

They might concern privacy.

They might regulate high-risk applications.

They might establish standards for government use.

They might require companies to test systems for certain risks.

The question is not simply whether there should be guardrails.

It is which guardrails, applied to which systems, enforced by whom and under what circumstances.

The Broader Rebranding Habit

Trump's interest in renaming AI fits a broader pattern in his political style.

He has long placed considerable emphasis on branding.

In this case, however, the stakes are different.

Changing the name of a hotel or product doesn't alter the underlying thing.

Changing terminology around a transformative technology can influence how policymakers and the public understand it.

Calling something “super intelligence” may encourage people to think of AI as more powerful and inevitable.

Calling it “artificial intelligence” emphasizes that the systems are created by humans.

Neither label eliminates the underlying technical questions.

But each carries different associations.

What the Rebranding Cannot Do

A new name cannot solve AI's technical problems.

It cannot prevent hallucinations.

It cannot guarantee accuracy.

It cannot stop deepfakes.

It cannot protect copyrighted material.

It cannot create enough electricity for data centers.

It cannot determine how many jobs AI will replace or create.

It cannot answer who should be responsible when an AI system causes harm.

And it cannot determine whether future AI systems become substantially more capable than today's models.

Those questions require research, engineering, law and public debate.

A new label may change rhetoric.

It does not change the underlying technology.

What Comes Next?

The most important part of Trump's announcement may ultimately have little to do with the name.

The bigger story is what the administration does next.

Will an AI Force actually be created?

What will its authority be?

Who will become AI czar?

Will Congress support the administration's legislative framework?

How will the government handle data-center growth?

Will federal policy override state AI laws?

What standards will apply to powerful models?

How will national security concerns be balanced against commercial innovation?

And what role will the Justice Department play in policing harmful AI activity?

Those questions will have much greater practical consequences than whether government documents say “AI” or “super intelligence.”

The Future of AI Is Still Being Written

Perhaps the most remarkable thing about this debate is that nobody knows exactly what AI will look like a decade from now.

Technology companies are developing increasingly powerful models.

Researchers are exploring new architectures.

Governments are building policies around systems whose capabilities are still changing.

The public is learning how to live with tools that barely existed a few years ago.

That makes the language surrounding AI important.

Wordsartificial intelligence” becomes “super intelligence” simply because the latter sounds more impressive, the change may latest AI initiative is partly a naming exercise and partly something much while simultaneously promoting rapid AI development, rejecting broad international controls and proposing an help society describe unfamiliar technology.

But the definitions need to remain clear.

If “artificial intelligence” becomes “super intelligence” simply because the latter sounds more impressive, the change may generate more confusion than clarity.

If the term is used deliberately to describe genuinely superhuman systems in the technical sense, it has a useful role.

Those two ideas should not be confused.

Final Thoughts

Donald Trump's latest AI initiative is partly a naming exercise and partly something much larger.

The president has proposed replacing “artificial intelligence” with “super intelligence” in U.S. government documents, while simultaneously promoting rapid AI development, rejecting broad international controls and proposing an “AI Force” and a new AI czar. Reuters+1

The terminology itself is unusual because “superintelligence” already has an established meaning in AI research.

Traditionally, it describes a hypothetical form of machine intelligence that would exceed humans across a wide range of cognitive abilities.

That is not synonymous with every AI system currently operating today. Defense One

The real significance of Trump's rebranding project therefore lies less in the words themselves than in the policy philosophy surrounding them.

The administration is signaling strong support for American AI development and technological competition while resisting approaches it believes would unnecessarily restrict innovation.

At the same time, public concern about AI's environmental, economic and social effects remains substantial, according to recent polling reported by Axios. Axios

The debate is unlikely to disappear because a president changes a term.

People will continue asking whether AI creates more jobs than it eliminates, whether data centers place too much pressure on electricity grids, whether governments should regulate powerful models, whether AI companies should compensate creators whose work is used for training, and how society should respond if AI systems become significantly more autonomous.

Those are the questions that will ultimately determine the technology's place in society.

For now, however, the terminology has changed—at least in the president's preferred vocabulary.

Artificial intelligence, it seems, has received a presidential makeover.

Whether the world follows along is another matter entirely.
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