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NSF AI Institutes (National AI Research Institutes)

The NSF AI Institutes -- formally the National Artificial Intelligence Research Institutes -- are a cohort of large, multi-year, multi-institution research centers funded through cooperative agreements led by the U.S. National Science Foundation (NSF), typically in partnership with one or more other federal agencies or private-sector funders. An award qualifies as one of these institutes if it (1) was made under an NSF AI Institutes solicitation (the program has issued several since its first, NSF 20-503, in 2019-2020), (2) funds a single institute at roughly $20 million over a five-year period of performance, (3) spans multiple partner institutions organized around a lead awardee, and (4) is scoped around foundational AI research paired with a specific application domain (e.g., agriculture, astronomy, education, cybersecurity, weather) rather than AI research in the abstract. It is administratively distinct from a standard NSF research grant (see NSF PAPPG) both in award mechanism (cooperative agreement, which gives NSF a more active oversight role than a standard grant) and in scale.

ByCASRAI Editorial Board
· Last updated 18 Jul 2026

Examples

Worked examples

  • Is an instance

    An NSF AI Institute awarded under the program's 2020 first cohort, funded at roughly $20 million over five years as a cooperative agreement led by one university with several partner institutions, focused on AI applications in a specific domain such as agriculture or education -- this is the baseline shape of every award in the program.

  • Is an instance

    An NSF-Simons AI Institute for astronomy, jointly funded by NSF and the Simons Foundation (a private philanthropic partner) rather than by NSF alone -- illustrating how the program routinely brings in non-federal co-funders for institutes in a specific research area.

  • Is an instance

    An institute funded jointly by NSF and USDA's National Institute of Food and Agriculture (USDA-NIFA), reflecting the program's practice of pairing NSF with a mission agency whose remit matches the institute's application domain.

Counter-examples

Looks similar, but isn't

  • Not an instance

    A standard NSF CISE (Computer and Information Science and Engineering) research grant to a single principal investigator studying a machine-learning method is NOT an NSF AI Institute -- it lacks the cooperative-agreement mechanism, the multi-institution consortium structure, and the roughly $20M/5-year scale that define the program.

  • Not an instance

    An NSF Convergence Accelerator or NSF I-Corps award involving AI-related research is a different NSF program with its own solicitation, timeline, and commercialization/translation focus -- it is not part of the AI Institutes cohort even if the underlying research is AI-related.

Editorial commentary

The NSF AI Institutes program — formally titled the National Artificial Intelligence Research Institutes — is a U.S. National Science Foundation initiative that funds large, multi-institution research centers dedicated to foundational AI research paired with real-world application domains. First announced in 2019 and issuing its first cohort of awards in 2020, the program has grown into what NSF and independent trackers describe as one of the largest coordinated federal investments in AI research and workforce development, with close to thirty funded institutes and a combined ecosystem connecting several hundred partner institutions across the United States as of 2025.

How the program is structured

Each institute is funded as a cooperative agreement rather than a standard research grant — a distinction that matters administratively, since a cooperative agreement gives NSF a substantially more active role in monitoring and shaping the funded work than the largely hands-off oversight typical of a standard grant. A typical award provides on the order of $20 million over a five-year period of performance to a single institute, led by one host institution and structured around a consortium of partner universities, national labs, and in many cases industry organizations.

NSF rarely funds the program alone. Individual institutes, or entire funding rounds, are frequently co-sponsored with other federal agencies — including USDA’s National Institute of Food and Agriculture (USDA-NIFA), the Department of Homeland Security, the National Institute of Standards and Technology, and the Department of Defense — and, for some institutes, with private philanthropic or corporate partners such as the Simons Foundation, Intel, and Capital One. This multi-funder structure is a defining feature of the program rather than an exception: each institute’s specific research focus is typically what determines which mission agency or private partner co-funds it.

Research focus areas

Rather than funding AI research as a standalone discipline, the program organizes institutes around pairing foundational AI advances with a specific application area. Focus areas across the funded cohorts include agriculture and food supply chains, materials discovery, AI-augmented education and learning, human-AI interaction and collaboration, advanced cybersecurity, astronomy, and weather forecasting, among others. This applied framing is part of why the program routinely draws in a mission agency (e.g., USDA-NIFA for agriculture-focused institutes) as a co-funder alongside NSF.

Why this matters for research administrators

Because each institute is a large, multi-year cooperative agreement spanning several partner institutions, it raises the same subrecipient monitoring, budget allocation, and reporting coordination questions as any large multi-institutional award — see CASRAI’s guide on managing multi-institutional research collaborations for the general mechanics. Research offices supporting a partner institution on an AI Institute (rather than the lead awardee) should also expect the subaward and reporting obligations typical of a consortium partner role, coordinated through the institute’s lead coordinating institution. Because the award mechanism is a cooperative agreement rather than a grant, offices should also confirm how that distinction affects prior-approval and reporting requirements for their specific award — see CASRAI’s comparison of grant vs. contract vs. cooperative agreement.

Related NSF funding mechanisms

The AI Institutes program is one of several NSF vehicles that fund large-scale or collaborative research and should not be conflated with NSF’s standard, PI-led research grants (governed by the NSF PAPPG) or with other distinct NSF programs such as the NSF I-Corps program (commercialization training) or NSF X-LaBs (Other Transactions Authority milestone funding). For the general NSF award lifecycle, see CASRAI’s NSF grants overview.

Frequently asked questions

How much funding does each NSF AI Institute receive?

Typical awards are on the order of $20 million per institute over a five-year period of performance, though exact figures vary by cohort, co-funder, and solicitation — always confirm the specific dollar figure and period of performance against the award’s own Notice of Award or the relevant NSF solicitation rather than assuming a fixed figure applies across all cohorts.

Is an NSF AI Institute the same as an NSF CISE grant?

No. NSF’s Directorate for Computer and Information Science and Engineering (CISE) is one of the directorates involved in funding and administering the AI Institutes program, but a standard CISE research grant to an individual PI is a different award mechanism, scale, and structure from an AI Institute cooperative agreement.

Which agencies co-fund NSF AI Institutes besides NSF itself?

Depending on the institute’s research focus, co-funders have included USDA-NIFA, the Department of Homeland Security, the National Institute of Standards and Technology, the Department of Defense, and private partners such as the Simons Foundation. Always verify the specific co-funder(s) for a given institute against its NSF award record, since this varies by cohort and focus area.

Machine-readable encodings

Use in your systems

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Schema.org DefinedTerm (JSON-LD)
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Referenced across the research world

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