Reviewed 25 October 2026.
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Updated 5 October 2026. If you have seen artificial intelligence described as “superior intelligence” or “Super Intelligence”, there is a specific reason for the new wording. The useful question for a business is what a system can reliably do.
On 29 September 2026, Donald Trump signed an executive order directing the US executive branch to use “Super Intelligence” and “SI” in place of “Artificial Intelligence” and “AI”, where permitted by law. The order initially applies the existing statutory AI definition to the new terms. You can read the wording in the White House executive order.
This is a change in US government terminology. The announcement alone does not establish a new technical capability or show that a particular product has exceeded human intelligence.
Trump also used “superior intelligence” while discussing possible names. In his 29 September remarks, he settled on “super intelligence”. That makes the terms relevant to the same news story, but “superior intelligence” is not the wording adopted in the order.
When comparing suppliers, ask them to explain what they mean by SI. A new label tells you little about accuracy, access to your information, operating costs or whether a person must approve an action.
Context matters. In this US policy announcement, Super Intelligence is used as a replacement name for AI. In technical discussion, artificial superintelligence (ASI) refers to a proposed form of AI with capabilities beyond human intelligence. IBM’s explanation of ASI describes it as hypothetical.
A product that writes a useful draft, processes an invoice or helps build a website has demonstrated those tasks. You still need evidence before making broader claims about its intelligence.
If you mean AI under the new US label, UK businesses already use AI tools. If you mean technical superintelligence, there is no agreed arrival date. Forecasts depend on definitions and assumptions, and should not be presented as delivery commitments.
For a small business, waiting for that milestone is usually the wrong starting point. Choose a problem you can describe and test now: finding information in an approved knowledge base, preparing a draft for review or reducing repetitive administration.
Artificial general intelligence usually refers to a proposed system with broad capability across many kinds of task. Artificial superintelligence describes a proposed capability beyond human intelligence. Definitions and evaluation thresholds vary, so neither label supplies a reliable arrival date.
The Levels of AGI research framework separates dimensions of capability and generality. It is useful for asking more precise questions; it does not turn a forecast into a delivery schedule.
When reading a prediction, record the definition used, the tasks evaluated, the source date and the conditions assumed. Treat a laboratory demonstration, a vendor plan and a dependable business workflow as different evidence. A system may perform an impressive benchmark while still failing on missing data, access limits or recovery after an error.
For purchasing decisions, use the acceptance checks below. Do not commit to a supplier or redesign a team around an unsupported six-month or five-year forecast.
Start with one task and a clear definition of a good result. Before rolling out an AI workflow, answer five practical questions:
Track the time spent checking and correcting outputs alongside any time saved. That gives you a more useful basis for a decision than the name on the product.
Blue Canvas helps businesses across Northern Ireland, the UK and Ireland turn a useful idea into a working process or digital product. See our guide to app building in Derry and Northern Ireland, guide to website builders in Derry and Northern Ireland, or recent website projects.
Book a free conversation with one task you want to improve. We can help you work out whether it needs AI, a simpler automation or a better website.
Blue Canvas AI Ltd is responsible for this guide. Spotted an error? Email contact@bluecanvas.ai.
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