The Justice Department dropped the term “artificial intelligence” on Tuesday, directing employees to use “super intelligence” and “SI” in court filings, policy documents and public communications. Acting Deputy Attorney General Trent McCotter’s memo calls for the change “to the maximum extent permitted by law,” carrying out President Donald Trump’s executive order from last week, which requires federal agencies to adopt the new terminology.
Trump argues the rebranding better captures the technology’s potential. Public confidence in AI has eroded after high-profile security breaches raised legitimate concerns about system vulnerabilities. The administration’s approach, though, differs sharply from calls for tighter government controls. Trump has resisted new rules for the technology, while leaving the Justice Department room to intervene if risks materialize.
The Structural Response
The White House isn’t leaving terminology to chance. Trump named four senior officials to lead a newly formed “Super Intelligence Force,” which will assess both the opportunities and dangers posed by rapidly advancing technology. Jay Clayton, head of the Office of the Director of National Intelligence, will lead the group. Pentagon Chief Technology Officer Emil Michael, Federal Trade Commission Chair Andrew Ferguson and Scott Kupor, director of the Office of Personnel Management, will serve as vice chairs.
The mandate is straightforward: examine benefits and risks while ensuring America keeps its competitive edge in the development race. This structure reflects a practical concern with technological superiority, not heavy-handed regulation.
Market Competition Heating Up
Private enterprise isn’t waiting for government directives. Reflection AI, a startup backed by Nvidia, released its first open-weight model, Beam, on Monday. The company says the model rivals leading open technologies from American and Chinese competitors. In a Monday blog post, Reflection AI described Beam as competitive with Chinese AI startup Z.ai’s GLM-5.2 and approaching Alibaba’s Qwen3.8-Max in performance.
The private sector’s rapid innovation points to a basic reality: the technology race moves faster than Washington bureaucracy. Reflection AI’s achievement, backed by private capital rather than government grants, shows how market competition drives progress. That stands in contrast to approaches built around government research initiatives or regulatory frameworks that could slow development.
The terminology shift itself says something about the administration’s governing philosophy. Rather than imposing restrictions through regulation, it’s changing how institutions think about and discuss the technology. Whether the rebranding affects actual policy remains uncertain, but it signals confidence in the technology’s direction, not skepticism.
Trump’s willingness to let the market lead while keeping selective oversight in place positions the administration between two extremes: progressive calls for stringent AI regulation and the libertarian position of no government involvement. The Justice Department will “rein it in if necessary,” the president said. That conditional authority preserves flexibility without imposing restrictions in advance.
Why This Matters:
The federal government’s change in terminology and the Super Intelligence Force’s formation reveal competing priorities in tech governance: competitive advantage and risk management. For the private sector, the message is clear: innovation should proceed without anticipatory regulation. For international competitors, particularly China, America’s focus on capability rather than containment signals the direction of U.S. strategy. The high-level interagency task force, however, shows the administration recognizes that this technology needs coordinated oversight, even if regulation remains off the table. Reflection AI’s progress shows private capital is already driving the capability race forward, regardless of government policy. The fiscal question remains unanswered: will a “Super Intelligence Force” add institutional capacity or bureaucratic overhead? Terminology alone doesn’t determine technological outcomes; market incentives and competitive pressure do.