The Government Rebranded AI as 'Super Intelligence.' Your Tech Stack Didn't Change.
A White House executive order swaps terminology across federal agencies, but the underlying technology remains identical. For CIOs, the real risk lies in procurement and governance, not semantics.

On September 29, the White House released Executive Order 14434, titled "Inaugurating the Era of Super Intelligence." The directive instructs all executive departments and agencies to replace references to Artificial Intelligence and AI with Super Intelligence and SI throughout their correspondence, public communications, websites, reports and policy documents. The order further states that the executive branch "will not acknowledge the usage of 'Artificial Intelligence' and 'AI' in any applicable setting."
According to Section 3 of the order, Super Intelligence encompasses "the technologies and systems encompassed by the term 'artificial intelligence'" as defined in 15 U.S.C. ยง 9401(3), which references the National Artificial Intelligence Initiative Act of 2020. That statute defines the category as "a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations or decisions influencing real or virtual environments." Under this definition, fraud detection models in payment systems and email spam filters both qualify as Super Intelligence in federal usage as of this month.
The terminology shifted. The technology did not.
The term superintelligence carries a precise meaning with six decades of history, and it has never referred to a trend. Mathematician I. J. Good, a colleague of Alan Turing at Bletchley Park, introduced the concept of the "ultraintelligent machine" in 1965, describing it as one "that can far surpass all the intellectual activities of any man however clever," and cautioning that it would be "the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control."
Philosopher Nick Bostrom offered his own formulation in 1998, defining it as "an intellect that is much smarter than the best human brains in practically every field," which he refined in 2014 to describe one that "greatly exceeds the cognitive performance of humans in virtually all domains of interest." Even earlier, French scientist Pierre-Simon Laplace's thought experiment from 1814 posited an intellect for which "nothing would be uncertain" [translation].
Each of these definitions marks a boundary: a form of intelligence that surpasses human capability. The executive order, by contrast, deploys the term to describe a direction of advancement: systems that "increasingly represent not merely artificial intelligence, but a new era of Super Intelligence."
Why this matters: procurement and budgets, not philosophy
Language shapes how funding flows through organizations. Federal requests for proposals, agency guidance and government communications will now use "SI" instead of "AI." Vendor presentations will follow suit rapidly; sales organizations do not continue using outdated terminology once their government customers have shifted. Within months, nearly every platform under evaluation may market itself as Super Intelligence, rendering the label essentially meaningless.
Two specific provisions warrant attention. Section 2(b) preserves all existing regulations, contracts and grants, meaning current agreements retain their AI language and continue to rely on the 2020 statutory definition.
Section 3(b) grants the Assistant to the President for Science and Technology 60 days, extending into late November, to draft legislative language establishing a federal definition of Super Intelligence that "reflects the capabilities described in section 1." This proposal must assess whether the new definition should "modify, expand upon, or otherwise supersede" the existing statutory definition of AI.
If that definition centers on capability rather than technical mechanism, it could reshape which systems fall under existing programs, disclosure requirements and procurement frameworks. This forthcoming document represents the single most consequential text in this sequence to monitor upon release.
A practical approach for this quarter
Establish your own definition and embed it into every contract. Do not rely on the government's terminology or the vendor's marketing language.
Three categories capture the distinction: systems that generate predictions, systems that offer recommendations to a human decision-maker and systems that execute actions autonomously. The third category is where governance structures, audit trails and kill switches become essential.
Apply these distinctions consistently in board presentations, procurement documents and vendor assessments. Require suppliers to map their offerings to your tier system rather than accepting generic labels.
Demand substantiation for capability claims. Any system marketed as Super Intelligence should provide the benchmark, the testing methodology and the party that funded the evaluation. Insist on the same transparency from all vendors.
Frontier, agentic and now SI represent marketing vocabulary. Latency, data accuracy, cost per outcome and behavior under stress conditions represent measurable facts.
Establish governance before the terminology forces the conversation
Research commissioned in September 2026 by the author's company in partnership with Thinker Media, surveying 600 executives across three regions, revealed that 65% report sovereignty has grown more important than a year prior, while 24% incorporate governance from the outset. That gap signals organizational vulnerability.
Once the government designates a system as Super Intelligence, your board will inevitably ask about it by name. Understand which data rows, which columns and which business functions each system can access, along with data location, key management and which personnel can disable the system without vendor involvement.
These represent engineering choices, and they cost far less to implement before the announcement than after.
Distinguish between strategic vision and operational reality. The order's preamble articulates a national objective, and that objective is legitimate: advanced systems perform functions beyond task imitation. A CIO, however, manages an operational inventory.
The majority of systems in your environment operate at tier one and two and will function identically regardless of nomenclature. Direct the new scrutiny toward tier-three systems where incorrect behavior creates financial exposure, and leave the terminology decisions to communications teams.
Good's observation from 1965 remains valid and unresolved: The machine must be "docile enough to tell us how to keep it under control." Washington has renamed the machine through executive action. Control has never resided in the name itself. It resides in the engineering, and that engineering remains your responsibility.


