DOE commits $320M to Genesis Mission, targeting doubled U.S. scientific productivity with AI

Trump's AI 'Genesis Mission' emerges from Land of Confusion

DOE lays out $320M plan for science platform linking national labs, industry, and academia President Trump's "Genesis Mission" is taking shape with the award of more than $320 million from the Department of Energy (DOE) to advance AI in scientific research. The agency disclosed four initiatives, which it says will begin the process of building an integrated American Science and Security Platform, described as a "discovery engine" to boost the productivity and impact of American science and engineering investments within a decade. Trump's Genesis Mission was announced last month in an executive order that called for a nationwide AI initiative, comparable in scope to the Manhattan Project, to give the country's technological leadership a shot in the arm. It is intended to cover areas including fusion energy and new materials, plus quantum computing and drug discovery. At the time, the DOE said it was aiming to create a discovery platform by linking together the supercomputers and other facilities from its 17 National Laboratories with resources from industry and academia. Of those four initiatives, the American Science Cloud (AmSC) will form the infrastructure for the Genesis Mission, hosting and distributing AI models and scientific data to the broader research community. The Transformational AI Models Consortium (ModCon) will focus on developing self-improving AI models to bolster science and engineering, as well as advancing energy generation. A third initiative will encompass 14 projects covering robotics, automated laboratories, and autonomous control of large-scale experiments in support of the Genesis Mission, with the goal of transforming laboratory environments. The final area is Foundational AI awards, comprising 37 awards to projects that will curate existing data sets and develop AI models validated for scientific applications. These models are expected to analyze massive data sets in the hope they reveal new insights to help solve some of the most challenging scientific problems. "By investing in the American Science Cloud and the Transformational AI Model Consortium we are creating the foundational technologies and AI-ready data sets that will enable the success of the Genesis Mission," claimed Under Secretary for Science Dr Darío Gil. For these four initiatives, the DOE anticipates $40 million in funding will go to implementing AmSC over the next couple of years, while hinting that it may be up to $75 million in total. It has asked eligible DOE National Laboratories for proposals to establish an integrated team to lead AmSC's development. The figure for ModCon is $30 million, while the DOE's funding page also lists $16.6 million for research on AI and machine learning for nuclear science and technology, $87 million for AI investments, $22 million for research into hardware-aware AI in high energy physics, and $47.6 million for the use of advanced computing in basic energy sciences, among others. Industry collaborators listed on the DOE's Genesis webpage include AMD, Microsoft, Oracle, Anthropic, Nvidia, IBM, AWS, and OpenAI. ®

DOE announces $320M for Genesis Mission AI initiative

The Department of Energy announced more than $320 million in investments for the Trump administration's Genesis Mission on Monday. This funding marks the first major commitment to the initiative, which seeks to double U.S. scientific productivity within a decade using artificial intelligence. DOE Undersecretary for Science Dario Gil, director of the mission, detailed the allocation to members of the House Science, Space and Technology Committee. The investments target specific programs under the Genesis Mission. These include the American Science Cloud, designed to enhance computational resources for scientific research, and the Transformational Model Consortia, which focus on developing advanced AI models to accelerate discoveries across various fields. Dario Gil highlighted the critical need for rapid progress during his briefing. He stated, "If there was one single failure mode that I see in all of this, it's that we don't move fast enough." This underscores the mission's emphasis on timely implementation to achieve its productivity goals through AI integration in scientific endeavors.