AI or Super Intelligence? What the US rename means for business buyers
The United States executive branch adopted “Super Intelligence” and “SI” in September 2026. Here is what changed, what did not, and how businesses should evaluate systems beneath the new label.
Business leaders, policy teams and technology buyers
10 min read
2 October 2026
3 primary sources
Artificial Intelligence
Standards, research, regulation and customer language still widely use AI.
Super Intelligence
SI is the directed term for official executive-branch communication.
Names shape markets, but capability, evidence and accountability still determine whether a system is useful.
On 29 September 2026, a White House executive action directed US executive-branch departments and agencies to use “Super Intelligence” and “SI” in official, public and non-statutory documents. It is a US government terminology policy—not a universal technical reclassification.
- 01Use both AI and Super Intelligence where audience clarity or search intent requires it.
- 02Do not assume a product is more capable because it adopts the SI label.
- 03Define the task, authority and evidence required before discussing model prestige.
- 04Keep contracts and governance tied to system behaviour, not changing terminology.
What actually changed on 29 September 2026
The White House announced an executive-branch terminology change from Artificial Intelligence to Super Intelligence. The order also directs the Assistant to the President for Science and Technology to propose a federal definition. That makes SI important language for US policy, procurement and search behaviour, especially for companies selling to or communicating with the American market.
It does not instantly rewrite international standards, Indian law, the EU AI Act, scientific literature or the vocabulary customers already use. NIST resources published before and around the change still contain AI terminology, and many regulated obligations are written around specific system behaviour rather than a marketing name.
Why the phrase can mislead buyers
In technical literature, artificial superintelligence traditionally refers to a hypothetical capability exceeding humans across broad intellectual tasks. The new US policy usage is wider: it acts as a public label for the advancing field. A buyer who assumes every “SI platform” is superhuman can confuse branding with demonstrated performance.
Procurement should therefore require a plain description of the model, data, tools, permissions, evaluation set, failure modes and human controls. If a supplier cannot explain the actual task boundary without relying on “Super Intelligence” as the answer, the label is hiding information rather than adding it.
A sensible language strategy for Indian and global companies
For Indian buyers, AI remains the familiar discovery term. For US-facing pages, proposals and products, “AI and Super Intelligence (SI)” can bridge old and new language. For EU work, contracts should still map to the definitions and risk categories used in the EU AI Act. The same company may therefore use different public vocabulary while maintaining one internal system inventory.
- Discovery language: include the words real customers use—AI automation, AI agents and generative AI.
- US policy language: introduce Super Intelligence once, define it and connect it to the specific capability.
- Technical language: name the model class, tools, data and operating limits.
- Legal language: follow the definitions in the applicable jurisdiction and contract.
Keep governance independent of fashion
NIST’s AI Risk Management Framework organises work around govern, map, measure and manage. Those functions survive a terminology change. An organisation still needs an owner, intended-use definition, risk assessment, evaluation evidence, monitoring, incident handling and retirement plan.
A stable internal register can store aliases—AI, SI, agent, model, classifier—while treating the deployed system as the object of control. That prevents a rename from creating gaps in policy, inventory or audit history.
The commercial opportunity is clarity
The phrase will generate attention and search volume. The durable opportunity is to answer the question behind it: what can this system reliably do for my operation? Useful content should translate frontier language into business decisions, distinguish present capability from aspiration and show where people retain authority.
Thalenor will use Super Intelligence strategically where it improves findability or accurately describes US policy. We will continue to use AI where it is the clearest term for customers, standards and actual systems. Precision is better SEO than pretending the world changed vocabulary overnight.
Use this before approving the work.
- 01Define what SI means in every document where the term could be ambiguous.
- 02Ask suppliers for task-level evaluations and known failure cases.
- 03Keep an inventory that follows the system across name changes.
- 04Map obligations to jurisdictions, not marketing pages.
- 05Use AI and SI together only where it helps the intended reader.
Primary and authoritative sources used to verify the policy, standards and market facts in this guide. Interpretation and recommendations are Thalenor’s.
Published and reviewed on 2 October 2026. This article provides general technology and operational information, not legal, tax, medical or regulatory advice.