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NSF TechAccess: AI-Ready America is a $224 million initiative to establish up to 56 State/Territory Coordination Hubs across the U.S., one for each state, the District of Columbia, and territories.
The program accelerates AI readiness and adoption by strengthening workforce AI literacy, enabling small businesses to adopt AI, supporting local governments in leveraging AI for public services, and building workforce capacity for AI innovation. Hubs will be selected in three rounds: 10 in Round 1 (LOI June 16, 2026), 20 in Round 2 (LOI December 15, 2026), and the remainder in Round 3 (LOI June 1, 2027).
The program is conducted in collaboration with the U.S. Department of Labor and emphasizes experiential learning including internships, project-based work, and apprenticeships.
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Or search similar grants →According to the current listing, eligibility includes: U.S. institutions of higher education, nonprofit organizations, and state/territory entities. Each state or territory may have one Coordination Hub. Principal investigators have no restrictions on number of proposals. Confirm the full requirements in the official notice before applying.
The current listing shows up to $224 million total program investment. Each State/Territory Coordination Hub receives up to $1 million per year for 3 years (up to $3 million total per hub), with possible 1-year extension. Catalyst Award competitions provide $5-$10 million per cohort. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was July 16, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
NSF TechAccess AI-Ready America State and Territory AI Coordination Hubs 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 Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Vinnova, Sweden's national innovation agency, funds projects developing applied AI solutions for Swedish industry through its Advanced Digitalization Programme. Each project can apply for between 2 and 10 million SEK (approximately $190,000 to $950,000 USD) covering up to 50% of eligible project costs. The total call budget is 60 million SEK. Projects run for 12-24 months and focus on two key areas: Intelligent Edge (AI for real-time application in the sensor chain) and AI-based decision support. All projects must address industrial needs and integrate gender equality and climate change perspectives. Scientific publications must be open access. A parallel call also funds AI and cybersecurity projects at 1-10 million SEK per project with a 50 million SEK total budget.
Announced August 4, 2026, NSF 26-513 will fund up to 10 State and Regional AI Infrastructure Hubs at $4-12M each over five years. It is a cooperative-agreement, public-private consortium model designed to put frontier compute in the hands of researchers outside the elite institutions. Here is how the program is structured, who can lead, and how to build a competitive consortium before the November 4 deadline.
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Read articleIn January 2026, DOE Policy Flash PF-2026-30 wiped out every 15% and 10% indirect cost cap the administration had imposed in 2025 — because H.R. 6938 ordered it to. The same law froze indirect policy at NSF, Commerce and NASA. But OMB's sweeping new grants rule quietly reopens the fight through the back door. Here is what changed, what money recipients can claw back, and how to protect your indirect recovery going forward.
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