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TechAccess: AI-Ready America (NSF 26-508) is a national coordination program designed to make every U.S. state and territory capable of absorbing and deploying artificial intelligence, rather than to fund AI research itself. That distinction matters enormously for positioning: this is deployment, coordination, and workforce infrastructure money, not a basic research grant.
NSF anticipates making 56 State/Territory Coordination Hub awards - one per state, DC, and each U.S. territory - at roughly $1,000,000 per year for three years, with a possible fourth year, against a total program envelope of $168,000,000 to $224,000,000.
A Hub acts as the convening entity for its state: it builds an accessible inventory of AI training programs and resources, develops a statewide AI readiness strategic plan with real performance metrics, provides hands-on deployment assistance to businesses and government entities, coordinates education and workforce training across K-16 and career and technical systems, facilitates sector-specific collaboration in the state's priority industries, and establishes a deployment corps of credentialed AI practitioners.
Two further components sit alongside the Hubs - a National Coordination Lead providing strategic oversight across the network, and Catalyst Award Competitions that fund innovative pilots. The program is run in collaboration with the Department of Labor, USDA NIFA, and the Small Business Administration, which signals that proposals connecting AI readiness to labor markets, agriculture, and small business adoption will land well.
Because only one Hub is expected per state or territory, the practical competition is intra-state: prospective applicants should be building a statewide coalition rather than a single-institution proposal. Letters of Intent are required and precede full proposals by one month.
Round 1 closed in July 2026; Round 2 has a Letter of Intent deadline of 15 December 2026 and a full proposal deadline of 15 January 2027, with Round 3 following at 1 June 2027 and 1 July 2027.
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Or search similar grants →According to the current listing, eligibility includes: Proposers must fall within the organization categories identified in NSF's Proposal & Award Policies & Procedures Guide; unaffiliated individuals are not eligible. Each organization may submit only one proposal. NSF anticipates one State/Territory Coordination Hub award per state, the District of Columbia, or U.S. territory, so applicants should expect to assemble a statewide coalition spanning higher education, K-12 and career and technical education, workforce development boards, industry, and state government rather than submitting as a single institution. A Letter of Intent is required. Remaining deadlines are Round 2 (LOI 15 December 2026, full proposal 15 January 2027) and Round 3 (LOI 1 June 2027, full proposal 1 July 2027). Confirm the full requirements in the official notice before applying.
The current listing shows each State/Territory Coordination Hub is funded at approximately $1,000,000 annually for three years, for a total of roughly $3,000,000 per award, with the possibility of one additional year (approximately $4,000,000 total) where a compelling transition need is demonstrated. NSF anticipates 56 Hub awards - one per state, the District of Columbia, and U.S. territories - with total program funding of $168,000,000 to $224,000,000. Separate National Coordination Lead and Catalyst Award Competition components are also funded under the solicitation. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF TechAccess: AI-Ready America State and Territory Coordination Hubs for AI Workforce Readiness and Deployment are due January 15, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF TechAccess: AI-Ready America State and Territory Coordination Hubs for AI Workforce Readiness and Deployment is funded by U.S. National Science Foundation (NSF), in collaboration with the U.S. Department of Labor, USDA National Institute of Food and Agriculture, and U.S. Small Business Administration. 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 ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
PRIMED-AI is a new NIH Common Fund programme, Precision Medicine with AI: Integrating Imaging with Multimodal Data, which combines medical imaging with other health data to build AI-powered clinical decision support tools for personalised medicine. This opportunity, RFA-RM-27-014, funds the programme's Validation Center: a dedicated hub that independently evaluates and characterises the AI-enabled, image-based multimodal clinical decision support tools developed elsewhere in the consortium. The structural logic matters for applicants. NIH has separated tool-building from tool-validation and is paying separately for the second, which signals institutional recognition that self-reported performance claims from developing teams are not sufficient evidence for clinical AI. The Center's remit covers verification, validation, interoperability and uncertainty quantification, so the deliverable is a reproducible evaluation capability rather than a set of papers. It operates as a U54 cooperative agreement, meaning NIH staff are substantively involved and the Center must work in concert with the PRIMED-AI Logistics Center and the Data-to-Model and Model-to-Clinic award recipients. The RFA was released on 30 June 2026 with applications due 2 October 2026. For academic groups that have built credible AI evaluation methodology, particularly in radiology, imaging informatics or biostatistics, this is an unusually direct route to becoming the reference evaluator for a major federal AI health programme, and the position carries influence over how clinical AI performance gets measured well beyond the life of the award.
RFA-RM-27-015 funds a single Logistics Center as the coordinating hub of the NIH Common Fund's PRIMED-AI program, Precision Medicine with AI: Integrating Imaging with Multimodal Data. The award is a cooperative agreement, meaning substantial NIH scientific and programmatic involvement is built in rather than incidental, and it is administered by NIBIB on behalf of the Common Fund. The Center operates through three integrated cores: Administration, which runs the steering committees and develops consortium policies; Evaluation, which assesses progress across the funded portfolio; and Outreach, which maintains a web portal for sharing AI-based clinical decision support tools and facilitates engagement between researchers, clinicians and patient communities. The strategic point for applicants is that this is the only coordinating award in a multi-award program whose other components, the Data-to-Model Academic-Industrial Partnerships, Model-to-Clinic and Multi-use Frameworks Playbook RFAs, are separately competed and separately funded. The Logistics Center therefore does not generate its own AI models; it is scored on its capacity to run a consortium, set data and tool-sharing policy, and build infrastructure that makes other teams' clinical decision support tools discoverable and reusable. Applications are due by 5:00 PM local time of the applicant organization on the date specified for the relevant review cycle, with an earliest project start date of 2 October 2026 and a maximum project period of five years.
NIFA posted USDA-NIFA-SBIR-012221 on October 1 with $24.75 million, awards of $600,000 to $650,000, and a November 17 close. The 50% rate is real, and the same-topic-area rule is why.
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