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TechAccess: AI-Ready America, NSF solicitation 26-508, is a national program to coordinate AI readiness and accelerate AI deployment across every US state and territory. Total program funding is 168,000,000 to 224,000,000 US dollars, with up to 56 State or Territory Coordination Hub awards of up to 1,000,000 dollars per year for three years, one per state, the District of Columbia or territory, awarded across three rounds.
Round 1 letters of intent were due 16 June 2026 with full proposals 16 July 2026; additional rounds follow in December 2026 and June 2027, with reported full-proposal dates of 15 January 2027 and 1 July 2027. The program has three components: the state and territory hubs, a National Coordination Lead issued as a separate Other Transaction Award, and AI-Ready Catalyst Award competitions to be announced later.
Substantively the hubs are charged with addressing AI literacy, workforce development, business adoption of AI, and public service innovation, by building statewide coordination mechanisms, training infrastructure, hands-on deployment support, and sector-specific collaboration across education, workforce, industry and government stakeholders.
This is one of the largest AI education and workforce programs NSF has launched, and its structure is distinctive: because only one hub is funded per jurisdiction, the competition is effectively a state-by-state contest to assemble the most credible cross-sector coalition rather than a national competition on research merit.
For universities, state systems, community college consortia and nonprofits positioned to convene a whole state, it is a strategically important opportunity, and in states not yet awarded, the remaining rounds are the only entry point.
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Or search similar grants →According to the current listing, eligibility includes: Eligibility follows standard NSF Proposal and Award Policies and Procedures Guide rules, so accredited institutions of higher education, nonprofit non-academic organisations and other NSF-eligible entities may apply, while unaffiliated individuals are excluded. Two structural limits dominate planning. First, each institution may submit at most one proposal, which forces organisations to decide early whether to lead or to join another applicant as a partner. Second, awards are made at a rate of up to one per state, the District of Columbia or US territory, across up to 56 total awards and three competition rounds, so an applicant is competing against other organisations in its own jurisdiction rather than nationally; once a state has a funded hub, that jurisdiction is closed to further hub awards. Prospective applicants should therefore establish whether their state was awarded in Round 1 before investing in a proposal. Substantively, a competitive hub must demonstrate the capacity to coordinate across education, workforce, industry and government stakeholders statewide and to address four charges: AI literacy, workforce development, business adoption of AI, and public service innovation. The expected deliverables are coordination mechanisms, training infrastructure, hands-on deployment support and sector-specific collaboration, which means letters of commitment from state agencies, community college systems, K-12 entities and employers carry disproportionate weight relative to research credentials. Round 1 letters of intent were due 16 June 2026 with full proposals due 16 July 2026, and additional rounds open in December 2026 and June 2027, with reported full-proposal deadlines of 15 January 2027 and 1 July 2027; applicants should verify the exact current-round dates and the required letter-of-intent step in the solicitation, since the letter of intent is mandatory and precedes the full proposal by roughly a month. Confirm the full requirements in the official notice before applying.
The current listing shows each State or Territory Coordination Hub award is funded at up to 1,000,000 US dollars per year for three years, with a possible one-year extension, so amount_min is recorded as 1,000,000, a single year, and amount_max as 3,000,000, the three-year total. The total program investment is 168,000,000 to 224,000,000 dollars across up to 56 awards, one per state, the District of Columbia or US territory, plus a separately awarded National Coordination Lead issued as an Other Transaction Award and future AI-Ready Catalyst Award competitions. The one-hub-per-jurisdiction design is the single most important planning fact: this is not an open competition where the best proposals win, it is 56 parallel single-winner competitions, and NSF limits institutions to one proposal, so the real contest happens before submission as organisations within a state decide who leads and who joins as partner. An applicant should treat in-state coalition assembly as the primary task and the proposal as documentation of it. On budget realism, 1,000,000 dollars a year to coordinate AI literacy, workforce development, business adoption and public service innovation across an entire state is thin, and the solicitation's emphasis on coordination mechanisms rather than direct service delivery reflects that: hubs are expected to convene, route and broker rather than to deliver training at scale themselves. Applicants should resist proposing direct service at volume and should budget for staff, convening, partnership management and evaluation. Larger states should expect to leverage matching state appropriations and employer contributions, and the forthcoming Catalyst Award competitions are the intended vehicle for the delivery funding the hub itself cannot cover. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF 26-508 TechAccess AI-Ready America State and Territory Coordination Hubs for Statewide AI Literacy Workforce and Adoption Infrastructure are due January 15, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF 26-508 TechAccess AI-Ready America State and Territory Coordination Hubs for Statewide AI Literacy Workforce and Adoption Infrastructure is funded by U.S. National Science Foundation. 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.
NSF obligated $6.4 billion across 6,218 awards in FY2026, down from $8.3 billion and 8,647. An August OMB apportionment carried $1.7 billion into FY2027, roughly $1 billion of it reserved for the White House Grand Research Challenges initiative. NIH, by contrast, spent its full $34 billion. Here is what the carryover mechanism actually means for your FY2027 proposal — and why the directorate you submit to now matters more than the score you get.
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