On October 4, U.S. time, Trump officially announced the formation of the “Super Intelligence Force” and appointed the Director of National Intelligence Jay Clayton Leading it. This marks another concrete step in White House AI governance—following Trump’s executive order last month renaming “artificial intelligence” (AI) as “super intelligence.”
What Exactly Is the “Super Intelligence Force”?
Trump announced the decision on his social platform Truth Social. According to him, the new force’s mission is to “coordinate all federal government efforts to ensure America continues leading the world in super intelligence”—a domain he elevates above both the Industrial Revolution and the internet, claiming it will “protect the interests of all Americans and improve everyone’s lives.”
According to The Wall Street Journal,Clayton will serve as chair of the force—effectively the “AI czar” widely referenced in mediaThe other three vice chairs are: Chair of the Federal Trade Commission (FTC) Andrew FergusonDeputy Secretary of Defense for Research and Engineering Emil Michaeland Director of the Office of Personnel Management (OPM) Scott Kupor.
Intriguingly, this combination spans intelligence, antitrust, defense, and personnel—indicating Trump’s intent to position this force as an interagency coordination hub rather than an appendage of any single agency.
Why rename AI “superintelligence”?
This was actually foreshadowed last month. Trump has consistently labeled AI safety concerns a “radical left hoax,” yet he simultaneously signed an executive order to rebrand AI as “superintelligence.” This week, a group of tech company executives were invited to the White House to sign anon-bindingAI safety pledge—media reports revealed the pledge contains an awkward spelling error.
Renaming AI is less a technical maneuver than a political one. The term “artificial intelligence” itself is redefined, shifting policy话语权 accordingly. For ordinary users, the name change does not affect whether they use ChatGPT or Gemini, but it will concretely shape how regulatory frameworks are built and where budgets are allocated.
What does it mean for China?
This may be the single most important point for domestic readers.Clayton has previously stated clearly that, amid accelerated AI advancement by countries like China, U.S. “retreat” would be irresponsible.He reiterated this to The Wall Street Journal: one of the greatest risks is “not being first.”
In other words, this “superintelligence force” is imbued from the outset with stronggreat-power competitionovertones. Its purpose is not to “control AI,” but to ensure the United States leads the AI race. For domestically developed models accelerating overseas expansion—whether Kimi K3,GLM 5.3 or DeepSeek—this could mean stricter export controls, tighter compute restrictions, and higher geopolitical risk premiums.
120-day report + a “non-binding” pledge
According to disclosures, the new unit’s mission charter states it must “develop plans to address superintelligence threats while preventing overregulation and regulatory capture from stifling innovation and competition.” It will within 120 dayssubmit a report on AI risks and opportunities.
However, a reality check is in order: substantive action surrounding this “renaming campaign” remains extremely limited so far. The White House’s AI safety pledge isnon-bindingvoluntary and nonbinding; meanwhile, the so-called “Superintelligence Task Force” currently exists only as a skeletal structure—its operational details, budget allocation, and authority boundaries remain unknown.
This mirrors the AI industry’s current “safety versus acceleration” divide. On one side are OpenAI pausing training of its most powerful models,and multiple tech giants jointly establishing the safety organization SAFA; on the other side areNVIDIA rushing to implement controls for uncontrolled intelligent agentsand Jensen Huang publicly declaring “AI safety is an engineering problem, not a legal one.” Where exactly Trump’s new task force will land on this spectrum will become clearer in the report due in 120 days.
Frequently Asked Questions (FAQ)
Is the Superintelligence Task Force the same as the earlier AI Task Force?
It can be understood as the “formal implementation” of the same initiative. Last month, Trump announced plans to “form an AI Task Force”; this time, he explicitly announced the establishment of the “Superintelligence Task Force” and named its leadership—effectively transforming rhetoric into an actual organizational entity.
Who is Jay Clayton?
Clayton served as Chair of the U.S. Securities and Exchange Commission (SEC) during Trump’s first term and was appointed Director of National Intelligence in August this year. He will now also serve as Chair of the Superintelligence Task Force, widely viewed by observers as the new “AI Czar.”
Why is Trump renaming AI “superintelligence”?
This is a political and branding-level repositioning. The name change helps extract the AI discourse from the “safety risk” framework and recast it as “the strategic high ground in great-power competition,” thereby providing rhetorical grounding for deregulation and increased investment.
Does this have tangible implications for Chinese AI companies?
In the short term, the main impact is geopolitical signaling: with the U.S. explicitly framing AI as a competitive arena—and Clayton specifically stating “we cannot fall behind China”—export controls and compute restrictions may tighten further, exerting ongoing indirect pressure on the overseas deployment of domestic models and access to high-end compute.
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