The National Science Foundation has announced a new AI Coordination Hubs program designed to create coordinated networks across all U.S. states, territories, and the District of Columbia. The initiative aims to connect partners across education, workforce development, industry, and government sectors to strengthen AI planning and deployment while rapidly scaling proven approaches. Each coordination hub will receive $1 million per year for three years, with the possibility of a fourth year of support for hubs demonstrating compelling transition needs.
The program will launch with an initial round supporting 10 states, followed by subsequent rounds expanding to all states and territories. The NSF has deliberately kept eligibility requirements broad, allowing institutions of higher education, nonprofit organizations, for-profit businesses including small businesses, state and local governments, tribal nations, Federally Funded Research Centers, and consortia led by eligible organizations to apply. This open approach reflects the NSF's intention to receive diverse proposals and identify the most effective organizational structures for each region.
Coordination hubs will be expected to provide several key services within their jurisdictions. These include offering tools to navigate AI learning opportunities and resources, facilitating hands-on implementation support, coordinating training and capacity building initiatives, and supporting strategic planning at the state or territory level. The program allows state and local agencies flexibility to prioritize areas most relevant to their specific needs in developing an AI-driven economy.
Selection criteria for the hubs include demonstrating a clear vision for advancing AI readiness aligned with program goals, providing evidence of bringing together diverse stakeholders, showing understanding of current state efforts in AI, and conducting gap analysis to identify where coordination hubs can accelerate progress. Proposals must also include detailed milestones, measurable outcomes, and evidence-based implementation plans. NSF program director Gianchandani emphasized that proposals should demonstrate long-term sustainability by showing how hubs will mobilize additional resources beyond NSF funding.
The program represents a significant federal investment in distributed AI capacity building across the country. By establishing regional coordination points rather than a centralized approach, the NSF aims to enable communities to shape AI adoption in ways that benefit local populations while building national AI readiness. Applicants should focus on demonstrating stakeholder engagement, identifying specific gaps in current efforts, and presenting realistic plans for sustaining operations after initial funding concludes.
Source: https://www.afcea.org/signal-media/emerging-edge/nsf-prepares-announce-artificial-intelligence-coordination-hubs