President Donald Trump announced via a social media post on Tuesday that he intends to ban the term “artificial intelligence” across all relevant government documents and other materials. The announcement marks the latest step in an ongoing push by the administration to replace the widely used acronym with his preferred phrasing, “super intelligence.”
The directive follows a series of administrative actions and public statements aimed at reshaping how advanced technology is referenced by federal entities. While the administration seeks to standardize the new terminology, the broader technological and economic landscape continues to grapple with varying definitions, economic expectations, and sweeping global perspectives.
The Push for 'Super Intelligence'
This latest declaration builds upon prior administration measures. In September, Trump signed an executive order directing federal departments and agencies to officially adopt the term SI. Earlier in the month, he went as far as posting that anyone using the term AI instead of super intelligence was “THE ENEMY!”
Despite the administration's mandate for federal agencies and government databases, the enforcement scope remains limited. Legal experts note that the president cannot legally ban private citizens, private companies, or independent media outlets from utilizing the term. While figures like Elon Musk have indicated plans to rebrand ventures like SpaceXAI to SpaceXSI, major national news organizations and standards authorities—such as The Associated Press Stylebook—continue to use AI.
Broader Industry Dynamics and Economic Outlook
As the administration attempts to redefine the terminology surrounding advanced computing, the commercial and economic realities of the technology are facing heightened scrutiny. According to a note published in late October by Torsten Slok, chief economist at Apollo Global Management, corporate America's heavy investments in the technology have yet to generate broad financial returns.
Slok noted that outside of the major technology sector—specifically the "Magnificent 7" companies like Amazon, Apple, Google, Meta, Microsoft, Nvidia, and Tesla—mainstream corporate America has seen flat revenue per worker. Consequently, many companies are beginning to view ongoing token spending as a cost center weighing on margins rather than a direct driver of growth. Furthermore, corporate hesitancy remains high regarding autonomous execution; surveys indicate that a vast majority of firms restrict autonomous software agents from taking independent actions without strict human oversight.
Meanwhile, prominent technology leaders continue to forecast massive long-term societal shifts. Microsoft founder Bill Gates recently described advanced computing developments as an "evolutionary event" comparable to the transition from monkeys to humans. In an interview, Gates warned that the coming decades could introduce profound labor disruptions and social changes, urging political leaders to actively address the future role of human labor as systems advance.
The convergence of administrative terminology mandates, economic adjustments outside the tech sector, and long-term labor predictions highlights a period of rapid transition for advanced computing technology—both in how it is governed and how it is named.
