What Changed
On September 29, 2026, the White House issued a formal directive instructing all government departments and agencies to transition from using the term ‘Artificial Intelligence (AI)’ to ‘Super Intelligence (SI)’. Alongside this government-wide mandate, heads of most major AI platforms met at the White House to sign an accord concerning oversight controls and other policy measures. This accord explicitly incorporated the same terminology shift.
The transition seeks to redefine how government bodies and major technology developers reference modern computing systems. However, the move has already met immediate political friction. On September 30, 2026, just one day after the federal announcement, the Governor of California issued an executive order insisting that the state will retain the term ‘AI’.
Context and Background
To understand the weight of this terminology shift, it helps to look at the origins of the nomenclature. The term ‘artificial intelligence’ dates back to 1956, when John McCarthy and a group of pioneer researchers gathered at Dartmouth to establish the field. At the time, the phrase described machines capable of reasoning and learning from experience.
In contrast, today’s technology—primarily driven by large language models—consists of large statistical engines trained to predict what comes next in a sequence. Experts note that these systems lack true understanding or general intelligence. Ironically, the Hollywood version of AI actually aligns closer to the original 1956 definition of reasoning and learning, meaning early science fiction envisioned a destination that current technology has not yet reached.
The alternative terminology, ‘Super Intelligence’, was popularized by philosopher Nick Bostrom. Bostrom described it as an intellect that greatly exceeds human cognitive performance in virtually all domains of interest. According to a White House fact sheet, the new term ‘conveys the true capabilities of the technologies being developed today,’ rather than ‘simply imitating or automating human intelligence as is implied by the term ‘Artificial Intelligence.”
Business Implications and Industry Adoption
The White House directive directly impacts major technology developers. Companies such as Meta, X, NVIDIA, and Anthropic have been mentioned in relation to the potential adoption of the term SI, given their participation in high-level discussions and regulatory frameworks.
Yet, swapping acronyms carries significant branding and operational implications. Software developers, compliance officers, and public relations teams now face a fractured regulatory landscape. While federal agencies must comply with the September 29 mandate, state-level resistance—such as California’s executive order—creates a fragmented policy environment where terminology may vary depending on jurisdiction.
Risks and Limitations
Despite the grand ambitions of the White House directive, the policy currently suffers from significant structural gaps. Notably, the official White House fact sheet does not actually define Super Intelligence. Instead, it directs the president’s science advisor to propose a formal federal definition at a later date.
Furthermore, critics point out that swapping ‘AI’ for ‘Super Intelligence’ carries its own Hollywood baggage. The concept of an all-powerful machine mind that outthinks humanity is an entrenched science fiction trope. Replacing one loaded term with another may confuse public understanding rather than clarify technical realities.
Who May Be Affected
Federal departments and agencies are directly affected by the instruction to update their documentation, policy guidelines, and procurement language. Major technology firms, including Meta, X, NVIDIA, and Anthropic, must navigate the tension between federal rebranding initiatives and state-level mandates, such as California’s refusal to drop the term AI.
What to Watch Next
Observers should watch for the forthcoming federal definition of Super Intelligence from the president’s science advisor. Additionally, the ongoing divergence between federal terminology and state-level directives—exemplified by California’s September 30 executive order—will determine whether SI becomes standard practice or remains a localized federal preference. Universal adoption ultimately depends on whether major industry players choose to fully incorporate the terminology into their corporate governance.