Is AI Now “Super Intelligence”? AI vs AGI vs ASI Explained
On 29 September 2026 the US government started calling AI “Super Intelligence”. Did artificial intelligence actually get renamed? We explain the difference between AI, AGI and ASI, how the big labs define superintelligence and what the debate means for brands, with sources.
If you have been seeing “super intelligence” where you used to see “artificial intelligence”, there are two separate reasons. The first is a new official usage: on 29 September 2026 the US government told federal agencies to say “Super Intelligence” (SI) instead of “AI”. The second is artificial superintelligence (ASI), the long-debated idea of systems that would outperform human intelligence across the board and that do not exist yet. The two are not the same thing.
That is where the confusion starts. One is an administration’s choice of words; the other is a concept with a specific meaning in the research literature. When headlines use one word for both, “has ChatGPT become a superintelligence?” is the obvious next question. This article walks through what happened, what the terms mean and what it changes for a brand.
Short answer
No, AI has not become superintelligence. “Artificial intelligence” remains the established term in science and around the world. The US change sets the language the federal government uses in its own communications. None of today’s models counts as artificial superintelligence (ASI) in the sense researchers use the term.
Why is AI suddenly being called “super intelligence”?
Two things happened at the White House on 29 September 2026. President Trump signed an executive order directing federal departments and agencies to use “Super Intelligence” and “SI” instead of “Artificial Intelligence” in official correspondence, public communications, websites, reports and policy documents. Existing regulations, contracts and grants do not have to be rewritten. The White House fact sheet puts the reasoning in one sentence: the name “conveys the true capabilities of the technologies being developed today.”
The same day, six tech leaders signed the “White House Accord on Super Intelligence”: Sundar Pichai (Google), Dario Amodei (Anthropic), Mark Zuckerberg (Meta), Greg Brockman (OpenAI), Elon Musk (xAI) and Jensen Huang (Nvidia). Much of the coverage ran with “AI has been renamed” and skipped the key point: the word in the order and the accord is the same, but it does not mean what researchers mean by superintelligence.
Has AI really been renamed?
Not globally, and not scientifically. In September 2026 the US administration adopted “Super Intelligence” as the terminology for federal agencies. That does not mean the field of artificial intelligence has been scientifically reclassified. Universities, research labs, standards bodies and regulation such as the EU AI Act still say “artificial intelligence”. The order’s own text confirms it: “Super Intelligence” and “SI” cover the technologies and systems defined as “artificial intelligence” in US law (15 U.S.C. 9401(3)). Legally, the new name carries the old definition. The President’s science and technology adviser has 60 days to propose legislative language on whether that definition should change. We go through the legal text line by line in what “Super Intelligence” means in US law. When researchers say superintelligence they mean something far narrower and more ambitious: a system, not yet built, that outperforms humans in almost every cognitive domain.
What are AI, AGI and ASI?
The three acronyms describe three stages ordered by how general the intelligence is. AI is the name of a technology category. AGI and ASI are two thresholds inside that category that nobody has reached yet.
| Term | Stands for | Roughly means | Status today |
|---|---|---|---|
| AI | Artificial Intelligence | The umbrella name for software that learns, uses language, sees and predicts | In daily use: ChatGPT, Gemini, Claude, recommender systems |
| AGI | Artificial General Intelligence | A system that reaches median human level across a broad range of cognitive tasks | An explicit goal of the big labs; the threshold itself is disputed |
| ASI | Artificial Superintelligence | A system that outperforms the best humans, even large groups of experts, in nearly every domain | A theoretical future stage; no accepted example exists |
| SI (US official usage) | Super Intelligence | The US federal government’s new name for “AI” | Since 29 September 2026; legally the same definition as AI, new definition due within 60 days |
The last row is where the confusion comes from. “SI” and “ASI” sound alike, but the first is a new official label for today’s technology and the second is the name of a future capability level.
What is superintelligence (ASI)?
Artificial superintelligence (ASI) refers to hypothetical AI systems that would exceed human cognitive abilities by a wide margin across a very broad range of tasks. The most cited definition comes from philosopher Nick Bostrom’s 2014 book Superintelligence: any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest. Google DeepMind researchers set a more concrete bar in a June 2026 paper: ASI can intuitively be understood as a system more intelligent and cognitively capable than large organisations of humans. Beating a single expert is not enough; it has to out-think a research institute, a company or a government agency. No system can do that today, and there is no agreed test for measuring superintelligence.
Are ChatGPT, Gemini and today’s models superintelligent?
Not in the technical sense. Today’s large language models are faster and better than most people at some narrow tasks: summarising text, writing code, searching documents, translating. The same models still struggle with long-horizon planning, acting reliably in the real world and noticing their own mistakes. The labs use the word superintelligence freely as a goal, but none of them claims today’s models already are superintelligent.
The new US terminology does not change that picture. A federal document may now call ChatGPT an “SI tool”. Under the order that label legally covers the same thing as “AI”: the name changes, not what ChatGPT can do.
Why does Meta talk about “personal superintelligence”?
The word reached company roadmaps before it reached politics. Meta brought its AI work together under a unit called Meta Superintelligence Labs (MSL). The unit’s first model, Muse Spark, launched on 8 April 2026 under the headline “Scaling Towards Personal Superintelligence”. Meta’s own description is “a personal superintelligence that understands your world”.
The distinction matters. Muse Spark is a multimodal reasoning model that uses tools and orchestrates multiple agents. Meta presents it as a step towards superintelligence, not as superintelligence itself. In a company name, “superintelligence” is a statement of direction, not a product feature. Safe Superintelligence Inc. (SSI), co-founded by Ilya Sutskever in 2024, takes its name from its goal in the same way.
How do OpenAI and Google DeepMind approach superintelligence?
OpenAI has used superintelligence to mean the stage beyond AGI since 2023. In its May 2023 post “Governance of superintelligence” it wrote that AI systems could exceed expert skill level in most domains within ten years and that this would call for new forms of governance. Its 13-page “Industrial Policy for the Intelligence Age”, published on 6 April 2026, follows the same line and treats the transition to superintelligence as a question of economic and social policy.
Google DeepMind comes at it from the research side. “From AGI to ASI”, published on 10 June 2026 by 14 researchers including co-founder Shane Legg, describes four possible pathways from human-level AGI to superintelligence:
- Scaling: growing AGI-level systems with more compute and data.
- Paradigm shift: a new AI approach that replaces today’s methods.
- Recursive improvement: AI contributing to the design of its own successors.
- Collective intelligence: superintelligence emerging from large populations of interacting AI agents.
The paper also stresses that each pathway faces serious bottlenecks. In the labs’ own language, superintelligence is less a marketing slogan than a research goal that is taken seriously and has not been reached.
What does the White House Accord on Super Intelligence require?
Its full title is “White House Accord on Super Intelligence: Joint Commitment on Frontier Responsibilities”. It asks companies building the most advanced models to put four layers of controls in place:
- Internal controls: monitoring models during training and development for cybersecurity, biosecurity and chemical threats.
- Internal team: a team empowered to make sure the controls, monitoring and detection work as intended.
- External audit: working with an independent external auditor or evaluator.
- Board oversight: an independent board committee that receives reports from the control teams and the auditors.
The accord is not legally binding and sets no penalties. President Trump called it “morally binding”. Critics, Democratic senators in particular, say it leaves the industry to regulate itself. Microsoft and Amazon are not among the signatories.
Back to the vocabulary: the accord carries the “super intelligence” title, but its content is about the safety of today’s frontier models. This document, too, uses the new name for current technology, not for a future ASI.
How close are we to superintelligence?
The honest answer is that nobody knows, and opinions are spread wide. Some lab leaders talk about timelines measured in a few years. Some researchers argue that today’s methods will not get us to AGI on their own. DeepMind’s paper gives no date; it maps pathways and bottlenecks.
Two things are certain. First, even AGI has no universally accepted definition or test, so there is no yardstick that could confirm a claim that superintelligence has arrived. Second, today’s systems are already changing how work gets done without being superintelligent. For a brand, that second part is what matters.
What does the superintelligence debate mean for businesses and marketing?
In the short term it is about vocabulary; in the long term it is about how customers find information. Expect “super intelligence powered” labels on products and campaigns in the coming weeks. For your own business we suggest four things:
- Do not swap “AI” for “super intelligence” on your website. The executive order changes the language of US federal agencies, not what your customers type into a search box. People looking for a service still search for “AI” and “artificial intelligence”. Keep those as your main terms and use “super intelligence” only where you discuss this debate.
- Question the superintelligence pitch. If a tool or an agency sells you “super intelligence”, ask what it does in concrete terms: which task, which model, which measurable result. The label changed; the software did not.
- Use what works today. Assistants that answer customer questions, agents that take over repetitive work, and content and reporting automation deliver gains without waiting for superintelligence. None of that is AGI or ASI; it is today’s AI, set up properly.
- Be visible in AI search. Your customers ask ChatGPT, Gemini and Perplexity more questions every month. Being named in those answers is what generative engine optimization is for; our GEO guide explains how it works, and how AI search discovers and cites brands shows the mechanics.
POI369 does not sell superintelligence. Our work is more concrete: as an AI agency in Tallinn, we help brands become visible in AI search results, make their websites readable for AI crawlers, and build AI into advertising, content and operations in ways that can be measured. This article is an example of that approach: every section opens with an answer an AI assistant could quote on its own. If you want to talk about where to start for your brand, see our services or get in touch.
Frequently asked questions
+What is superintelligence?
Artificial superintelligence (ASI) refers to hypothetical AI systems that would exceed human cognitive abilities across a very broad range of tasks. In Google DeepMind’s 2026 framing, ASI is a system more intelligent and capable than even large organisations of humans. No such system exists today.
+Are AI and ASI the same thing?
No. AI (artificial intelligence) is a broad technology category we use today. ASI (artificial superintelligence) is a theoretical development stage, not yet reached, in which systems would exceed human abilities at scale. AGI sits in between: a system that reaches human level across many tasks.
+Has AI been renamed “Super Intelligence”?
Not globally and not scientifically. On 29 September 2026 the US administration adopted “Super Intelligence” (SI) as the term for federal agencies and tied it to the existing legal definition of AI. That does not reclassify AI as ASI in scientific terminology; the rest of the world and the research literature still say “artificial intelligence”.
+What is the difference between AGI and ASI?
AGI is a system that reaches median human level across a broad range of cognitive tasks. ASI is the stage beyond it: a system that outperforms the best experts and large groups of people. DeepMind describes four possible routes from AGI to ASI: scaling, a paradigm shift, recursive improvement and collective intelligence.
+Is ChatGPT superintelligent?
No. ChatGPT and similar models are faster than most people at some tasks, but they count as neither AGI nor ASI in the sense researchers use. The new US terminology changes ChatGPT’s name in federal documents, not its capabilities.
+Is the White House Accord on Super Intelligence binding?
No, it is a voluntary commitment. Leaders of Google, Anthropic, Meta, OpenAI, xAI and Nvidia signed it on 29 September 2026. It asks companies to build four layers: internal controls, an internal team, independent external audit and board oversight, but it sets no penalties.
+Should my website say “super intelligence” instead of “AI”?
We would not. Your customers still type “AI” and “artificial intelligence” when they look for a service. A change in one government’s official vocabulary does not change search behaviour. Use “super intelligence” only in content that covers this debate.
Sources
- The White House: President Donald J. Trump Inaugurates The Era of Super Intelligence (fact sheet), 29 September 2026
- The White House: Inaugurating the Era of Super Intelligence (executive order), 29 September 2026
- Washington Examiner: White House Accord on Super Intelligence, full text, 29 September 2026
- SiliconANGLE: Prominent tech CEOs sign voluntary White House AI safety accord and UPI, 30 September 2026
- Genewein et al., Google DeepMind: From AGI to ASI (arXiv:2606.12683), 10 June 2026, revised 30 August 2026
- Meta AI: Introducing Muse Spark, Scaling Towards Personal Superintelligence, 8 April 2026
- OpenAI: New policy ideas for the Intelligence Age, 6 April 2026, and Fortune’s coverage
- OpenAI: Governance of superintelligence, 22 May 2023
- Nick Bostrom, Superintelligence: Paths, Dangers, Strategies, Oxford University Press, 2014
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