AI & Machine Learning Grants

On July 22, 2026 the White House announced more than $5 billion and 15-plus federal agencies behind the Genesis Mission — a national effort to point AI at the hardest problems in science. Here is what the mission actually funds, how its five National Science and Technology Challenges map to real solicitations already opening, and how a research team or small business should position for the money flowing out of it.

On July 22, 2026, the White House announced more than $5 billion in federal commitments for the Genesis Mission — the Department of Energy-led national initiative to fuse AI, exascale computing, and the 17 national labs into a single scientific platform. Nearly 300 projects across all 50 states were selected from a historic Request for Applications, and 15-plus agencies are now attaching funding to a set of National Science and Technology Challenges. Here is what the Genesis Mission is, how the money is structured, and the concrete on-ramps for researchers, universities, and small businesses who were not in the first cohort.

NSF's NAIRR Operations Center solicitation (NSF 25-546) will make a single award of up to $35 million over five years to the organization that will run the National AI Research Resource — the shared computing, data, and model infrastructure that has already connected over 400 U.S. research teams. This is a rare winner-take-all federal competition where the prize is not funding for your own research but the mandate to operate national infrastructure. Here is what the NAIRR is, why its transition from pilot to permanent program matters, and what kind of organization can credibly win it.

NSF has moved to stand up the NAIRR Operations Center — a single award of up to $35 million over five years to run the National AI Research Resource. Backed by 14 federal agencies and 28 private partners, NAIRR has already connected 400+ research teams to compute and data most labs could never buy on their own. Here is what the transition from pilot to permanent program means, and how researchers actually get an allocation.

On June 1, 2026, DARPA and the National Science Foundation jointly released the AI Forge initiative — a university-only forum, administered by a nonprofit launching summer 2026, that will fund Project Ventures of roughly $750,000 to $3 million over one-year terms in three thrust areas: AI interpretability, AI control, and adversarial robustness. The RFI on SAM.gov closes June 22 at 5pm ET and is restricted to U.S. universities and military service academies, one authorized submission per institution. Intellectual property is expected to be shared across forum participants, preferably through open-source licensing. This is the most significant joint DARPA-NSF research vehicle in a decade, and it is structured to bypass the frontier-lab model entirely.

DARPA and NSF launched a joint program on June 1 to fund university work on AI interpretability, control, and adversarial robustness. Awards run $750K to $3M+ per project, the forum launches this summer, and the universities listed in the AI Forge repository will sit closest to the money. The Request for Information closes June 22.

On June 1, 2026, DARPA and the National Science Foundation announced AI Forge — a jointly governed forum that will fund, guide, and manage university-led research on AI interpretability, AI control, and adversarial robustness. The RFI on sam.gov closes June 22. The forum itself will be administered by a new nonprofit launching in summer 2026. The structure is what matters: this is not a one-off solicitation, it is a multi-year venue for university-government-industry research that operates outside the normal merit-review timelines of either agency. What university research teams should be doing in the seventeen-day window between the announcement and the RFI deadline — and what the forum model means for federal AI funding through FY 2028.

The DOE Genesis Mission RFA closed its Phase II window on May 19. With $293.76M, 21 topics, and 99 focus areas, it is the largest single federal AI-for-science procurement in 2026. Here is what survived the cut and what comes next.

NIH's NOT-OD-25-132 bars applications 'substantially developed by AI' — but ten months in, the working rule is disclosure, not a tool ban. Here is what counts.

Ten foundations pooled $500M for a five-year people-centered AI initiative. The first $18M tranche — $8M to 12 inaugural grantees at $500K each, $3M to AI Civics, $10M open call this summer — locks in the doctrinal frame nonprofits will need to fit.

The Water Research Foundation's RFP 5394 — up to $200,000 to evaluate GenAI and Agentic AI scalability across at least six water and wastewater utilities, NIST AI RMF integration required, proposals due 3 p.m. Mountain Time on May 20 — is the first major sector-utility-funded AI research initiative to bake risk-management framework compliance into the work statement. Four days remain.

Q1 2026 saw $242 billion flow to AI startups — more than every VC dollar invested in 2019. Meanwhile, NSF faces a proposed 55% cut and NIH success rates hit a 30-year low. How the AI funding chasm is reshaping research strategy for academic scientists and small businesses.

Q1 2026 shattered venture funding records with $300 billion deployed globally — 80% to AI. Meanwhile, federal non-defense AI R&D sits at $3.3 billion, a fraction of what the National Security Commission recommended. What the great divergence means for grant-funded researchers.

OpenAI's $122 billion round dwarfs the $3.3 billion the U.S. spends on non-defense AI R&D. The National Security Commission recommended $32 billion by now. We're at one-tenth of that target. What the private-public AI funding gulf means for researchers.

Massachusetts launched GrantWell, a free AI tool that helps municipalities find and write federal grant applications. Other states are following. Here's what it means for the $1 trillion grants ecosystem.

Google.org is offering up to $3 million per organization across two AI challenges — one for government innovation, one for scientific breakthroughs. Eligibility, strategy, and what wins.

AI-written proposals are overwhelming funders with polished sameness. Detection is a dead end. The future belongs to funders who discover grantees directly — not the other way around.

The Google.org Impact Challenge: AI for Government Innovation offers $1M–$3M grants plus cloud credits and engineering support. Applications close April 3. A strategic guide for nonprofits and research institutions.

The Genesis Mission and its $320 million investment, plus $68 million in new foundation model awards, signal a fundamental shift in how DOE funds scientific computing. A strategic guide for researchers.

Britain is making the largest coordinated public investment in AI research in its history — a £1.6 billion UKRI strategy, a £40 million fundamental research lab, and £27 million in alignment grants. The implications reach across the Atlantic.

The Trump administration designated Anthropic a supply chain risk after the company refused to remove AI safety restrictions. The fallout will reshape defense AI contracting for years.

The OMAI project — led by AI2, funded by NSF and NVIDIA — will create fully open multimodal AI models for scientific research. For researchers priced out of commercial AI, this changes the equation.

New data reveals AI-drafted grant proposals have higher NIH success rates but lower novelty scores. Combined with the six-application annual cap and AI ban, the landscape for researchers is shifting fast.

Most AI researchers are leaving free compute on the table. This guide covers every active GPU credit and compute allocation program in 2026 — NAIRR, NSF ACCESS, DOE exascale, NVIDIA, and cloud provider grants — with current deadlines and eligibility.

A practical framework for writing responsible AI sections in grant proposals, covering fairness metrics, bias testing, data governance, and what NIH, NSF, and DARPA expect.

NIH and NSF data show persistent disparities in AI grant funding by gender. Women receive smaller first awards and hold fewer than 20% of AI faculty positions.

Real-world costs for GPU compute, cloud instances, data labeling, and ML talent to build defensible AI grant budgets that reviewers will approve.

A comprehensive calendar of recurring AI grant deadlines from NSF, NIH, DARPA, DOE, SBIR, and Horizon Europe — with dollar amounts, cycles, and links.

Your AI proposal was rejected. Here is how to decode reviewer comments, fix the criticisms that sink machine learning grants, and resubmit strategically.

NSF funds 22% of CISE proposals but just 15% in AI-heavy IIS. NIH rates are falling. DARPA stays opaque. A data-driven look at where AI researchers should aim.

Major funders are channeling billions into AI projects across developing countries. Here are the programs, deadlines, and dollar amounts researchers need to know.

Our database of 87,000+ grants includes over 4,000 AI-related opportunities. Here are the agencies, dollar amounts, and topics driving the federal AI funding boom.

Compare Google, Microsoft, Meta, and NVIDIA research grants against NSF, DARPA, DOE, and NIH federal funding for AI research.

NIH and NSF now scrutinize data management plans for AI projects. Model cards, FAIR compliance, and dataset documentation are where most applicants stumble.

The European Commission opened EUR 307.3M in Horizon Europe AI calls closing April 15, 2026. Here is how non-EU teams can compete for a share.

Granted now has an MCP server that lets Claude Desktop search 87,000+ grants directly. Set it up in 30 seconds with zero config.

Practical strategies for domain experts writing AI-integrated grant proposals, from framing ML methodology to preempting common reviewer objections.

US agencies are funding cross-border AI research at record levels. A guide to bilateral programs, Horizon Europe access, and the IP and visa issues that trip teams up.

NSF awarded $100M to five new AI Research Institutes with Capital One and Intel. Here is what they fund, who leads them, and how to position for the next round.

How academic AI researchers can use SBIR and STTR grants to move from published papers to funded startups, with agency-specific strategies and common pitfalls to avoid.

Federal AI funding hits $3.3B in FY2025 while foundations pledge $500M+ for responsible AI. Our annual report breaks down the numbers, programs, and what comes next.

CA, MA, and MD capture the most federal AI research dollars. We break down why — university clusters, national labs, EPSCoR gaps, and emerging hubs.

The biggest private funders of AI research, ranked by committed dollars — Open Philanthropy, McGovern, Schmidt, Gates, Simons, Moore, and more. How to apply in 2026.

A map of who is actually putting money behind responsible AI -- from NSF and NIST to MacArthur, Ford Foundation, Open Philanthropy, and corporate programs.

Federal agencies, foundations, and international bodies are funding AI in agriculture. Here is where the money is going and how to position your proposal.

The Pentagon is requesting $13.4B for autonomous systems in FY2026. Here is where robotics researchers and startups can compete for funding right now.

From DOE's $320M Genesis Mission to the Bezos Earth Fund's $100M AI challenge, the AI-climate funding landscape has never been larger or more competitive.

From NSF SaTC to DARPA AIxCC, federal agencies are pouring billions into AI-powered cyber defense. A guide to the programs funding this convergence.

Where nonprofits can find $20K-$500K to fund AI pilots and adoption, from federal programs to private foundations investing in social sector technology.

NSF AI Institutes ($20M each), NAIRR, ExpandAI, CISE Future CoRe, Smart Health, CAIG, CyberAICorps — 7 programs with 2026 deadlines and award ceilings.

EUR 307M in Horizon Europe AI calls closed April 15, 2026. US researchers can participate — but the rules are specific. Here is how to navigate them.

NIH funded $2.3 billion in AI and ML research in FY2023 alone. Here is how researchers and institutions can find and apply to the growing pool of AI-tagged NIH FOAs.

We tested 7 AI grant writing tools on real NIH, NSF & SBIR proposals. 2026 rankings with actual proposal scores — see which tools work.

A practical workflow for using AI in grant proposals — when it helps, when it hurts, and how to keep your voice authentic.