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TechAccess: AI-Ready America (NSF 26-508) is a landmark national-scale initiative to accelerate AI readiness and adoption across the United States by establishing State/Territory Coordination Hubs. Each hub receives up to $1 million annually for three years (with a possible one-year extension) to serve as a central resource for AI education, workforce development, and technology deployment within their state or territory.
Hubs are responsible for maintaining an AI Learning and Resource Navigator, strategic planning and evaluation for AI readiness, hands-on AI deployment support for businesses and government, training coordination across K-16 and workforce systems, and priority sector coordination in energy, agriculture, healthcare, and manufacturing.
The program operates in three rounds: Round 1 selects 10 hubs (July 2026), Round 2 selects 20 hubs (January 2027), and Round 3 fills remaining slots (July 2027). This represents one of the largest federal investments in AI workforce readiness, aiming to ensure every state has coordinated AI adoption infrastructure.
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Or search similar grants →According to the current listing, eligibility includes: Organizations eligible under NSF Proposal & Award Policies & Procedures Guide (PAPPG). One proposal per institution. Institutions must be capable of serving as a state or territory-wide coordination hub for AI readiness. Unaffiliated individuals may not submit proposals. Voluntary cost-sharing is prohibited. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1 million per year for 3 years per hub (up to $3-4 million total per award with possible 1-year extension). Up to 56 hubs planned across all states and territories. Total program budget $168-224 million. 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 Education and Workforce 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 Education and Workforce is funded by 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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