What NIH's new AI rule means for your next application
In July 2025 NIH published notice NOT-OD-25-132, "Supporting Fairness and Originality in NIH Research Applications." It took effect on September 25, 2025, and it changes two things every grant office should know.
1. Applications substantially developed by AI will not be considered
NIH says it will not consider applications that are substantially developed by AI, or that contain sections substantially developed by AI. If a model wrote your Specific Aims or your Research Strategy, the application is at risk.
2. Six applications per investigator per year
NIH now accepts no more than six new, renewal, resubmission or revision applications per principal investigator per calendar year. Training grants (T-series) and conference grants (R13) are excluded.
Where AI still fits
- Reading the notice and listing every requirement with its page number.
- Checking that the budget and the narrative say the same thing.
- Tracking deadlines, attachments and registrations.
- Spotting formatting rules before submission.
That is administrative work. The science, the aims and the story stay with your people. With only six shots a year, each one should be complete and compliant.
Source: NIH notice NOT-OD-25-132 (July 17, 2025). Read the full notice before you rely on any summary, including this one.
Funders got 57% more applications. Here is what changes.
In April 2026, James Wilsdon and colleagues at the Research on Research Institute reported data from 12 research funders in Nature. Applications rose 57% between 2022 and 2025.
A second number matters more for your team. In 2018, about 20% of applications fell below the funders' quality threshold. By 2025 that share was 5%. Almost everything that arrives is now competent.
What that means for a grant office
- Polish no longer sets you apart. Most of your competitors look polished too.
- Fit matters more. Applying to fewer, better-matched opportunities beats applying to everything.
- Small misses cost more. A missed attachment or a budget that contradicts the narrative is an easy way for a reviewer to narrow the pile.
Our view: spend AI on the work that protects you from easy rejections, and spend your people on the work that makes the case.
Source: Rees and Wilsdon, Nature, 27 April 2026 (Research on Research Institute, 12 funders).
How to read a 100-page funding notice in an afternoon
Long notices hide short rules. This is the routine we use in working sessions, and it works with or without AI.
The routine
- Start with eligibility. If you are not eligible, stop. Nothing else matters.
- Go to the submission section. In federal notices this is usually Section D, Application and Submission Information. Most formatting and attachment rules live here.
- One rule per row. Font, margins, page limits and file types each get their own line.
- Name every attachment. Letters, budget forms, appendices. Write down the exact name the notice uses.
- Copy the review criteria. Note the points for each section. That tells you where to spend writing time.
- Write the page number next to everything. Anyone on the team can check it in seconds.
- Assign an owner and an internal date. Registrations and signatures are not instant. Set your own deadline well before the portal closes.
Our NOFO Shredder does steps two through six automatically and exports the checklist to Excel. A person still reviews every row.
Write an AI use policy your board will actually sign
Your staff is already using AI. A short policy turns that from a risk into a practice. These are the six decisions we work through in our Executive Workshop.
- Which tools are approved. Prefer business plans whose terms say your data is not used for training, and read those terms yourself.
- What never goes in. Beneficiary names, case notes, health details and anything else that identifies a person.
- What AI may do. Reading notices, checking numbers, summarizing, editing for length.
- What AI may not do. Invent statistics, write sections a funder forbids, or speak for your organization without review.
- Who reviews. Name the person who signs off on anything AI touched before it goes to a funder.
- When you revisit it. Funder rules change. Put a review date on the policy.
One page is enough. A policy your team can remember beats a long one nobody reads.