The U.S. Department of Energy announced Thursday it has signed agreements with 24 organizations to advance the Genesis Mission, marking a major step in the Trump administration's push to harness artificial intelligence for scientific research and national competitiveness. The partners include tech giants Microsoft   Corp., Alphabet   Inc. ’ s Google, Nvidia   Corp., OpenAI, and Amazon.com Inc. ’ s cloud unit Amazon Web Services ( AWS ) .

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The collaborations formalize public-private partnerships central to the national program, which aims to accelerate scientific discovery, strengthen energy and security capabilities, and reduce U.S. reliance on foreign technology. The agreements follow U.S.   President Donald Trump's November executive order launching the initiative.

"Harnessing cutting-edge AI for science will dramatically increase the productivity of American scientists and researchers," said Michael Kratsios, director of the White House Office of Science and Technology Policy. He said the mission would help automate experiment design, accelerate simulations, and generate predictive models for breakthroughs in energy, manufacturing, and drug discovery.

The partnerships are designed to leverage private sector AI capabilities alongside federal computing resources at Energy Department national laboratories, officials said. The program targets faster research timelines across biotechnology, nuclear energy, critical materials, semiconductors, and space exploration.

Partners Sign Collaboration Agreements

The 24 organizations signed memorandums of understanding with the Energy Department. They include cloud hyperscalers Google, Microsoft, and AWS; AI developers OpenAI, Anthropic, and xAI; chip manufacturers Nvidia, AMD, and Intel; and enterprise technology firms including IBM, Dell, Hewlett Packard Enterprise, Oracle, and Palantir. Other partners include Accenture, Cerebras, CoreWeave, Groq, Armada, DrivenData, Periodic Labs, Project Prometheus, Radical AI, and XPRIZE.

Some partners already have active projects with the department. AWS is working with Idaho National Laboratory to develop AI tools reducing costs and development timelines. OpenAI operates across the national laboratory system integrating AI models into research settings.

"OpenAI's VP of Science Kevin Weil met with Department of Energy officials because we want to deepen our collaboration with the national labs and enable more researchers to use frontier AI models alongside their existing tools," an OpenAI spokesperson said. "The result will be faster progress across biology, energy, and the physical sciences."

Emphasis on Speed and Execution

Dar í o Gil, the Energy Department's under secretary for science and Genesis Mission director, said the agreements advance Trump's executive order to build a national AI platform for scientific discovery. He attended a White House roundtable Thursday with industry participants, Energy Secretary Chris Wright, and Kratsios.

The department allocated $320 million last week to fuel Genesis Mission goals. Gil emphasized speed and urgency when appearing before Congress the same day, signaling the administration's focus on rapid implementation.

Joseph Krause, CEO of Radical AI, said Thursday's discussions centered on execution. "Ideas are good, but it's about putting things in motion and executing," said Krause, who attended the White House meeting. His company customized its agreement to focus on building closed-loop systems featuring AI and robotic-powered research.

The Energy Department continues accepting submissions through two open requests for information. One on partnerships for AI models remains open until January 14, 2026, while another on AI capabilities for national security closes January 23, 2026.

Genesis Mission Background

Trump launched the Genesis Mission through a November 24 executive order, directing the Energy Department to leverage national laboratories and supercomputing resources to build an integrated AI platform. Kratsios described it at the time as "the largest marshaling of federal scientific resources since the Apollo program."

The initiative seeks to address declining research productivity despite increased funding. Officials said AI-accelerated workflows would multiply returns on taxpayer investment while strengthening national security and economic competitiveness.

The order instructs Wright to establish the American Science and Security Platform within the department, consolidating high-performance computing resources, AI modeling frameworks, and secure access to federal datasets. The platform will integrate on-premises supercomputers and cloud-based computing for large-scale model training.

The Energy Department must identify at least 20 science and technology challenges of national importance within 60 days. Priority domains include advanced manufacturing, biotechnology, critical materials, nuclear fission and fusion energy, quantum information science, and semiconductors. The initiative must demonstrate initial operating capability for at least one national science challenge within 270 days.