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Nov. 25, 2025—Yesterday, the White House launched the Genesis Mission via Executive Order (EO). The initiative envisions a multi-sector effort to accelerate artificial intelligence and drive scientific discovery and innovation across the nation’s research ecosystem. The EO establishes a coordinated federal effort designed to integrate AI tools into scientific workflows while strengthening collaboration among federal laboratories, universities, and private industry. Three senior White House officials are tasked with leading this effort: the Secretary of Energy (although the Director of the DOE Office of Science, Dario Gil, is responsible for its creation), the Assistant to the President for Science and Technology (ASTP), Michael Kratsios, and the Special Advisor for AI and Crypto, David Sacks. The EO claims the underlying mission is akin to winning World War II via the Manhattan Project and will be “the largest marshaling of federal scientific resources since the Apollo program.”

The EO establishes the American Science and Security Platform as the basis of “Genesis.” Dubbed the “Platform,” it aims to leverage the infrastructure of all 17 Department of Energy (DOE) National Laboratories to offer high-performance computing, cloud AI environments, and access to large scientific datasets, along with advanced simulation, modeling, and autonomous manufacturing tools. While the Order doesn’t explicitly propose funding amounts, the mission signals a significant federal investment in AI-enabled research infrastructure.

Key Elements of the Executive Order

The order instructs the DOE to develop an integrated software platform that enables scientists and engineers to connect the extensive datasets and research instruments of government agencies with advanced AI neural network systems. OSTP Director Michael Kratsios says, “The technology will be used to automate experiment design, generate new predictive models, and speed advanced simulations in areas such as protein folding and nuclear fusion.” The Order encourages cooperative research and development agreements, as well as partnerships between academia, federal labs, and private industry. Institutions that can manage to align expertise with the mission’s targeted domains, such as biotechnology, advanced manufacturing, semiconductors, and quantum technologies, will stand to have a competitive edge.

The Mission explicitly supports “commercialization activities.” Companies that can translate AI-accelerated discoveries into deployable products, from energy to materials, will allegedly find enhanced support through IP licensing and technology transition programs. New prize competitions, challenge grants, and accelerator programs for AI-driven science and manufacturing areas are also anticipated. Federally supported apprenticeships and fellowships are expected to provide businesses with opportunities to support upskilling in AI-applied science and engage emerging technical talent. Finally, firms located near DOE national labs or R&D clusters stand to benefit from easier collaboration and potential infrastructure investments in AI and advanced manufacturing testbeds.

The White House is also prepared to provide access to scientific data for AI analysis, which will fall into three categories. The first will be available to a wide range of researchers, including private-sector and university researchers. The second bucket is reserved for proprietary work—White House officials gave the example of a semiconductor company that seeks to use the government’s X-ray accelerators to develop or test a new product. The final bucket will be restricted to researchers who have the proper clearances for national security concerns.

Looking Forward

The Department of Energy has 60 days to list “at least 20 science and technology challenges of national importance” (to be updated annually) that will be addressed by the Mission, which spans previously stated priority domains. Research institutions should align internal strategies with the initiative’s focus areas, update policies for data sharing and intellectual property, and prepare to participate in new partnership frameworks. Economic development organizations and businesses should map regional assets, such as laboratories, high-performance computing centers, and robotics facilities, to position their communities for participation. Overall, collaborative efforts to strengthen workforce development and establish training programs aligned with AI-augmented science will position institutions to take advantage of future funding opportunities as agency announcements emerge.

How We Got Here

• Trump 1.0 signed an Executive Order in 2019, which set the policy principle that AI is central to U.S. science, economic, and security leadership.  It stressed federal coordination across research, computing, data, and standards.
• The funding of research institutes and infrastructure under the National AI Initiative helped expand the federal R&D ecosystem (academia + industry + labs), which the Genesis Mission now envisions scaling further.
• The shift in 2025 toward accelerated infrastructure (data centers, computing power, export controls) and deregulation signaled an intensification of ambition: merging AI + science + manufacturing in a concerted national mission.
• Something to note, the Executive Order refrains from mentioning the Biden-era roadmap: Frontiers in Artificial Intelligence for Science, Security, and Technology (FASST) initiative, which aimed to accomplish many of the same goals.

Read the White House Fact Sheet here.

We want to hear from you. What opportunities or challenges are emerging as institutions prepare for greater integration of AI into research collaboration, commercialization pathways, and scientific infrastructure under initiatives like the Genesis Mission? Let us know on LinkedIn.

Thank you to Holten Stringer of Van Scoyoc Associates for contributing the insights in this week’s 3-Minute Read.

The 3-Minute Read is a UIDP member information piece and does not represent the opinions of our members or representatives. We welcome your comments on our LinkedIn profile.