The White House announced that President Donald Trump will attend a summit on Thursday designed to empower scientists and position the United States as a leader in breakthroughs driven by “super intelligence.” The announcement was shared first with Axios.
Industry stepping in amid cuts to government R&D funding
The Trump administration is seeking private-sector involvement as it has reduced government funding for science research and development. As part of that effort, the White House said it secured more than $1 billion in industry commitments to the Genesis Mission, with contributors including AMD, OpenAI, and Anthropic.
Regional compute hub and $1 billion Georgia investment
Officials also unveiled a compute hub spanning more than 14 institutions across 10 southeastern states. Separately, the administration announced a $1 billion investment in the state of Georgia aimed at providing students and faculty with access to compute resources.
Federal investments in AI-driven science tools
The National Science Foundation and the Department of Energy will invest more than $100 million in AI-driven scientific tools, according to the White House.
Participants and origins of the summit
The summit will gather leading scientists and “innovators,” the White House says. The event was inspired by a July report from Michael Kratsios, director of the White House Office of Science and Technology Policy, which highlighted the growing role of industry in driving research and development and proposed new mechanisms for funding and organizing research.
Background: Genesis Mission and related summits
President Trump launched the Genesis Mission last November, setting ambitious timelines to accelerate scientific discovery. In July, the White House said the initiative would expand to more than 15 federal agencies. Last week, the White House held another AI summit focused on the rollout of America.gov, a project intended to streamline government services using AI.
Why this matters
The announced mix of corporate and public investments aims to rapidly expand U.S. capacity for AI-driven scientific research. At the same time, the approach relies heavily on the private sector against a backdrop of reduced federal research funding, raising questions about long-term funding stability and the roles of public–private research partnerships.
