[VT | July 22, 2026 | Washington D.C.]
The inaugural Genesis Mission Annual Summit brought federal agencies, national laboratories, universities, companies, researchers and international partners together in Washington as the U.S. government moved its national AI for Science initiative from a presidential executive order toward its first 278 selected project teams.
The numbers announced throughout the day showed the scale of that transition: more than 5,000 applications, 278 selected teams, 342 participating institutions across all 50 states, more than $250 million associated with the initial project selections, and more than $5 billion in federal commitments related to the broader Genesis Mission.
Michael Kratsios, Director of the White House Office of Science and Technology Policy, placed the initiative within a longer history of U.S. scientific mobilization, invoking the Manhattan Project, the Apollo program and earlier national investments in science, education and infrastructure.
But Genesis Mission is organized around a different kind of objective. Rather than pursuing a single destination such as landing on the Moon, the initiative is built around a growing set of national science and technology challenges spanning energy, materials, life sciences, space, national security and other fields.
Eight months after President Donald Trump launched Genesis Mission by executive order in November 2025, the White House now describes it as a White House-led, whole-of-government initiative, with the Department of Energy responsible for developing its core American Science and Security Platform.
The 278 teams announced at the summit are the first visible layer of that emerging network.
From an Executive Order to 278 Teams
Genesis Mission was launched with a broad goal: use artificial intelligence to accelerate scientific discovery and substantially increase the productivity and impact of American science and engineering over the next decade.
At the summit, Energy Secretary Chris Wright described the response to the mission’s first project solicitation. DOE received more than 5,000 applications, while approximately 400 staff members and experts across the department and national laboratories participated in the review process.
The result was 278 selected teams: 87 led by DOE or National Nuclear Security Administration laboratories, 168 by universities, 19 by companies and four by nonprofit organizations.
The selections represent more than $250 million in potential support. DOE has emphasized that the projects have been selected to enter award negotiations, meaning the selections do not yet constitute final funding commitments.
Under Secretary for Science Darío Gil presented a broader picture of the network behind those teams. The projects involve 342 participating institutions across all 50 states, including 16 national laboratories, 142 institutions of higher education, 157 companies, 13 nonprofits and 14 organizations in other categories.
Gil also said participation had expanded to 20 federal departments and agencies. White House materials released around the summit used the formulation “more than 15 federal agencies,” reflecting the continuing expansion of the initiative.
The number of national science and technology challenges has grown as well, from an initial 26 to 33 challenges.
The scale raises a more consequential question: how are hundreds of institutions, laboratories, datasets, AI systems and scientific instruments supposed to work together?
Building an “Internet of Science”
Gil offered one of the summit’s clearest descriptions of what Genesis Mission is intended to become: an “Internet of Science.”
He described the mission around three connected efforts: defining national science and technology challenges, building a shared platform for accelerating scientific discovery, and developing a new generation of researchers able to work across scientific disciplines and emerging computational tools.
The internet analogy is deliberate.
Early computer networks created value by connecting machines that had previously operated separately. The network envisioned by Genesis Mission would connect a much broader range of scientific resources: supercomputers, research databases, AI models and agents, as well as physical research infrastructure including particle accelerators, telescopes, microscopes and advanced manufacturing facilities.
If those resources can operate within connected scientific workflows, AI could move beyond literature searches and data analysis into modeling, simulation, experimental design, operation of scientific facilities, analysis of experimental results and the generation of subsequent research questions.
The summit’s Technical Keynote illustrated parts of that vision through examples in mathematics, X-ray imaging, power-grid simulation and national security. UCLA mathematician Terence Tao and researchers from Argonne, Brookhaven and Sandia national laboratories presented examples of how AI and advanced computation are already entering scientific workflows.
Those scientific cases will be examined separately in this series. For the broader Genesis Mission, the structural point is significant: the 278 teams are not being treated simply as 278 independent research grants. The mission is attempting to connect them to a shared scientific infrastructure.
“You’re All Part of the Genesis Mission Now”
That effort to connect previously separate systems extends beyond laboratories.
During a Leadership Panel moderated by U.S. Chief Technology Officer Ethan Klein, leaders from the National Institutes of Health, National Science Foundation, Department of Defense and NASA described what their agencies could bring into Genesis Mission — research programs, datasets, infrastructure, scientific facilities and federal investment.
NIH Director Jay Bhattacharya focused on speed. He said NIH is pursuing a goal of cutting in half the time between fundamental scientific discoveries and advances that materially change patient care. He pointed to protein-structure prediction as an example of scientific problems whose timelines have been transformed by new computational approaches and AI.
Bhattacharya also emphasized extending participation beyond established research institutions to early-career researchers and small businesses.
At NSF, the emphasis was infrastructure and connectivity. Brian Stone, NSF chief of staff performing the duties of director, announced several investments, including $400 million over four years for 20 AI-enabled programmable cloud laboratory nodes, more than $80 million for next-generation scientific data infrastructure, and up to $100 million for AI-ready scientific datasets, along with a Dear Colleague Letter encouraging researchers to consider Genesis-related opportunities.
Stone drew a parallel to NSF’s role in the development of the early internet: the transformative element was not simply an individual computer or technology, but the ability to connect previously separated resources.
He said the National AI Research Resource, or NAIRR, which brings together 39 industry partners, could also provide computing and other resources to some Genesis teams.
Emil Michael, Under Secretary of War for Research and Engineering, approached the mission from national security and supply-chain perspectives. He discussed potential applications involving noise and error correction for quantum sensors, positioning, navigation and timing capabilities, and AI-enabled biomanufacturing that could reduce dependence on external supply chains for critical materials.
NASA Administrator Jared Isaacman focused on the scale of scientific data and future exploration. He described how AI could help researchers extract discoveries from NASA’s accumulated public datasets and discussed major scientific and propulsion programs that will generate new computational demands.
As Klein moved the discussion toward interagency cooperation, the issue became less about individual programs and more about the boundaries between federal institutions.
A biological anomaly, for example, could involve health, agriculture, energy and national-security data held under different authorities. Participants repeatedly returned to the difficulty of breaking down data silos while maintaining appropriate security, access and institutional responsibilities.
At that point, Genesis Mission was no longer simply an AI program. It was confronting a familiar problem of large cross-government initiatives: how institutions with different missions, authorities, datasets and security requirements share resources without erasing the boundaries they are responsible for maintaining.
Those questions surfaced again during the summit’s platform demonstration and breakout discussions and will be examined separately in this series.
Japan Becomes the First International Partner
The network is also extending beyond the United States.
During a fireside conversation, Japanese Ambassador to the United States Shigeo Yamada discussed Japan’s role as the first international partner to establish a formal partnership with Genesis Mission.
Under a U.S.-Japan framework announced in June 2026, the two countries plan to contribute $500 million each over five years, subject to future congressional appropriations, creating a partnership valued at a combined $1 billion.
The framework includes 11 joint science teams involving 12 DOE national laboratories, one DOE Office of Science user facility and 12 Japanese research institutions.
When explaining why Japan became the first international partner, however, Yamada emphasized something other than funding: trust.
Scientific cooperation between the United States and Japan has developed over decades through relationships among government agencies, laboratories, universities and companies. Existing collaborations include work involving U.S. national laboratories, Japan’s RIKEN and Fujitsu in AI, high-performance computing and quantum technologies, as well as U.S.-Japan cooperation in fusion energy.
Yamada described Genesis as a potential “paradigm shift” in how that cooperation is organized. Rather than allocating funds project by project, the partnership is intended to connect governments, national laboratories, universities, researchers, established companies and startups within a broader scientific ecosystem.
Why Industry Is Joining
By the afternoon, the discussion had moved from government agencies and international partnerships to industry.
Wright returned to the stage with SLAC National Accelerator Laboratory Director John Sarrao, a senior Google Cloud executive and the founder of AI company Reflection.
The Genesis Mission Consortium has attracted dozens of industry and nonprofit partners that have committed more than $800 million in resources, including computing capacity, AI models, cloud infrastructure, scientific expertise and financial support.
Google announced $40 million in AI tokens and cloud credits for the initiative, along with access for selected Genesis teams to AI-for-science tools including AlphaEvolve, AlphaFold 3, AlphaGenome, WeatherNext and AlphaEarth Foundations. The company also committed Gemini for Government resources and token capacity to the DOE national laboratory system.
The discussion then moved beyond the size of the commitments.
Genesis projects are structured to encourage collaboration among universities, national laboratories and companies. Wright asked whether those requirements risked creating a “forced partnership.”
Sarrao described the arrangement instead as a privilege. National laboratories have accumulated scientific facilities, data and research capabilities over decades, he said, while industry can provide pathways for translating discoveries more rapidly into practical applications.
Companies face a different coordination problem. Without a common framework, allocating computing resources, models and engineering expertise across 17 national laboratories, hundreds of universities and thousands of research groups is difficult. Genesis Mission’s national challenges and project structure provide a way to identify where those resources might have the greatest value.
The panel also reached questions that remain unresolved: which scientific workloads should rely on commercial frontier models and which require open models that laboratories can deploy and modify internally; how public research data should interact with privately developed AI systems; and how national laboratories can expand the scientific value of their data while protecting sensitive information.
As different institutions enter the same system, questions previously managed within individual organizations are becoming shared governance questions.
After the Executive Order, What Makes It Last?
Near the end of the summit, the discussion returned to government — this time to Congress.
Gil invited Republican Sen. Mike Lee and Democratic Sen. Mark Warner to discuss the mission’s longer-term future.
Genesis Mission was created through a presidential executive order, but its ambitions extend over a decade. An executive order can launch an initiative quickly; it does not by itself guarantee that the initiative will survive changes in presidential administrations.
Lee described executive orders as potentially “easy come, easy go” and argued that a long-term Genesis Mission would ultimately require congressional action.
“This mission, while created by executive order, needs to be propelled through legislation.”
Warner also addressed the importance of long-term policy stability, while broadening the discussion to workforce development, AI’s effects on employment, governance and national security.
The larger Congressional Perspectives discussion — including areas where Lee and Warner differed — will be covered separately in this series.
But the institutional question raised onstage completed an important arc in the day’s proceedings. In the morning, the summit showed how an executive order had already mobilized federal agencies, hundreds of projects and participating institutions. By afternoon, lawmakers were discussing what would be required to make that structure durable beyond the executive order that created it.
Launching a national mission and sustaining one are different tasks.
From ENIAC to the iPhone
Deputy Secretary of Energy James Danly closed the summit by placing the initiative on a longer technological timeline.
He noted that the transition from ENIAC to the original iPhone occurred within a single human lifetime. So did the period between the discovery of the structure of DNA and the sequencing of the human genome, and the period between the first powered flight at Kitty Hawk and the Moon landing.
Danly described Genesis Mission as an effort to further compress the timeline of scientific and technological discovery. He framed its promise around two outcomes: accelerating science and innovation, and improving human prosperity.
He also pointed to the physical infrastructure required to support that ambition — computing facilities, data centers, power infrastructure, and the scientists, engineers and skilled workers needed to build and operate them.
Against the backdrop of the United States’ 250th anniversary, Danly closed by placing Genesis within a familiar American theme: American ingenuity.
What Comes After the First 278 Projects
By the end of the inaugural Genesis Mission Summit, the initiative was still far from a mature national scientific system.
The 278 projects are entering award negotiations. The 33 national science and technology challenges will continue to evolve. The “Internet of Science” remains under construction. Questions involving data sharing, AI agents, scientific-facility access, intellectual property, identity and authorization are moving from policy concepts into practical problems for participating teams.
Congress has not yet established a legislative foundation that would guarantee the mission’s continuity across presidential administrations.
What July 22 did provide was a clearer view of a program that had previously existed largely through an executive order, policy documents and project solicitations: federal departments and agencies, 17 national laboratories, 278 selected projects, 342 participating institutions, dozens of private-sector partners and the first international partnership were beginning to appear within the same institutional framework.
Kratsios opened the summit by invoking the Manhattan Project and Apollo. Whether Genesis Mission will ultimately merit those comparisons cannot yet be known.
Apollo had a destination everyone could see: the Moon. Genesis Mission has no equivalent single endpoint. As Gil explained, the mission is organized around multiple scientific and technological challenges because the problems themselves will continue to change as scientific capabilities change.
The 278 projects, therefore, are better understood as the first nodes of the network rather than its destination. An executive order has set the network in motion.
—
VisibleTogether reported from the inaugural Genesis Mission Annual Summit in Washington, D.C., on July 22, 2026.
