White House Rebrands AI as ‘Super Intelligence’ Following High-Level Tech Summit

President Donald Trump convened top executives to sign an AI safety pledge and signed an executive order officially updating federal terminology.

White House executive order signing and tech leadership summit on super intelligence

High-Level Tech Gathering at the White House

The White House convened leadership from across the technology sector this week, bringing together nearly every major industry chief executive for discussions on the trajectory of artificial intelligence. The high-profile gathering included Meta chief executive Mark Zuckerberg, Amazon founder Jeff Bezos, tech entrepreneur Elon Musk, and Anthropic chief executive Dario Amodei.

During the summit, attending executives signed an artificial intelligence safety pledge. President Donald Trump characterized the agreement as “morally binding” as the administration engaged industry leadership on governance and safety frameworks for emerging technologies.

Executive Order Rebrands AI

Alongside the voluntary pledge, President Trump signed an executive order that officially rebrands artificial intelligence as “super intelligence.” The formal terminology change introduces a new official framing for federal initiatives and administrative oversight surrounding advanced computational models.

The policy move has already begun to generate tangential ripple effects across digital infrastructure. Following the signing of the “super intelligence” executive order, registry officials in Slovenia reported an unexpected surge in domain registrations under the country’s .si top-level domain code, reflecting immediate interest in the new shorthand.

Consumer Facings and Enterprise Realities

The White House developments come as leading frontier developers, including Meta and OpenAI, adjust their public-facing strategies by putting friendlier faces on their flagship consumer artificial intelligence products. These presentation shifts aim to make advanced models more approachable to everyday users as consumer interactions become more widespread.

Despite efforts to capture broader retail engagement, the financial landscape of consumer artificial intelligence continues to face difficult unit economics. Across the sector, enterprise adoption and commercial deployments remain the primary source of substantial revenue generation for top AI companies.

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