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The DOE Genesis Mission is a $320+ million Department of Energy initiative that leverages artificial intelligence to advance U.S. energy dominance, strengthen national security, and accelerate scientific discovery.
The funding portfolio supports four pillars: the American Science Cloud, which hosts and distributes AI models and AI-ready scientific data sets; the Transformational AI Models Consortium, which develops self-improving foundation AI models for scientific discovery; 14 projects in robotics, automated laboratories, and autonomous control of large-scale experiments that aim to transform laboratory environments using embodied AI, advanced automation, and robotics; and 37 foundational AI projects focused on organizing scientific data and developing rigorously tested AI models.
The Mission is led by Under Secretary for Science and Innovation Dario Gil and runs across DOE's national laboratory complex.
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Or search similar grants →According to the current listing, eligibility includes: National laboratories under the DOE complex, universities, research institutions, and industry partners participating in DOE Office of Science programs. Specific awards are made through DOE national lab consortia and competitive Office of Science solicitations tied to the Genesis Mission. Public-good outputs include open AI-ready scientific data sets and open foundation models. Confirm the full requirements in the official notice before applying.
The current listing shows more than $320,000,000 allocated by DOE across the Genesis Mission portfolio, distributed across the American Science Cloud, the Transformational AI Models Consortium, 14 projects in robotics, automated laboratories and autonomous experiment control, and 37 foundational AI projects organizing scientific data and developing tested AI models. Individual project award sizes vary by sub-component. Verify award ceilings, matching requirements, and allowable costs in the official notice.
DOE Genesis Mission $320 Million AI Initiative for Energy Dominance Scientific Discovery and Autonomous Laboratories is funded by U.S. Department of Energy (DOE) Office of the Under Secretary for Science and Innovation. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The Air Force Research Laboratory Information Directorate's Geospatial Intelligence Processing and Exploitation (GeoPEX) Broad Agency Announcement (FA8750-21-S-7006) is an open, two-step BAA funding research, development, integration, testing, and evaluation of technologies that enhance geospatial intelligence (GEOINT) capabilities for national security missions. Core technical areas emphasize artificial intelligence and machine learning techniques for full-spectrum GEOINT, automated multi-source data production, cloud-based high-performance computing, photogrammetry, and rapid exploitation of imagery and sensor data. The BAA carries an estimated total ceiling of approximately $99.9 million, with individual awards from roughly $250,000 to $10 million over performance periods up to 36 months. White papers are accepted on a rolling basis and the announcement remains open and effective through September 30, 2026.
The Department of Energy's Advanced Materials and Manufacturing Technologies Office (AMMTO) Smart Manufacturing Funding Opportunity Announcement (DE-FOA-0003329) provides up to $33 million to fund high-impact applied research, development, and demonstration projects that use digitization, artificial intelligence, machine learning, and physics-informed models to improve the technical performance, efficiency, productivity, and competitiveness of U.S. manufacturing. Areas of interest include AI- and ML-driven automation integrating hardware and software systems into manufacturing tooling and equipment, manufacturing asset management for system performance optimization (cost, quality, throughput), intelligent materials identification and sorting for circular economy outcomes, and digital twin platforms supporting clean energy manufacturing. The FOA aligns with the DOE Industrial Decarbonization Roadmap and supports the broader Manufacturing USA Smart Manufacturing strategy.
The National Artificial Intelligence Research Resource (NAIRR) Pilot, led by NSF in partnership with DOE, 13 federal agencies, and 28 industry and nonprofit partners, democratizes access to the resources needed for AI research. Rather than cash, awardees receive an integrated ecosystem of compute (HPC allocations and cloud GPU credits), curated datasets, pretrained models, and software platforms. Proposals are reviewed on a rolling monthly basis (submissions by the 15th are typically reviewed by month-end), and projects run for 12 months. A lighter Start-Up track offers a roughly two-week turnaround. All results must be open and publishable. The pilot has supported more than 600 projects and 6,000 students across all 50 states.
The Trump administration committed $5B and 278 projects across 15+ agencies to the Genesis Mission. Here's the structure — and how to position for the next wave.
Read articleOn July 22, 2026, the White House announced more than $5 billion in federal commitments for the Genesis Mission — the Department of Energy-led national initiative to fuse AI, exascale computing, and the 17 national labs into a single scientific platform. Nearly 300 projects across all 50 states were selected from a historic Request for Applications, and 15-plus agencies are now attaching funding to a set of National Science and Technology Challenges. Here is what the Genesis Mission is, how the money is structured, and the concrete on-ramps for researchers, universities, and small businesses who were not in the first cohort.
Read articleDOE's FY2026 Office of Science open-call solicitation (DE-FOA-0003600) makes roughly $500 million available across about 500 awards of $50,000 to $5 million — across computing, physics, chemistry, biology, fusion, and isotopes — with a rolling window that stays open through September 30, 2026. Unlike a targeted NOFO, it lets investigators propose almost anything within the agency's mission. Here is how the open call actually works, why it is chronically underused, and how to write into it.
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