Will My Funder Reject an AI-Written Grant? 2026 Funder AI Policies
A plain-language guide to where major funders stand on AI-assisted applications in 2026 — including where the NIH stands on applications substantially developed by AI — and how to stay compliant while still using AI to help.
Updated
The short version: in 2026, most funders still let you use AI to help write a grant — but a growing number now draw a hard line at AI generating the application for you. The distinction matters more than ever, because crossing it can get your proposal administratively rejected before a reviewer ever scores it.
This guide summarizes where the major funders stand and, more usefully, how to use AI in a way that keeps you safely on the right side of every policy. (Policies change often — treat this as a map, not legal advice, and always confirm the current rules for your specific opportunity.)
The short answer, by funder type
| Funder | Stance on AI in applications (2026) |
|---|---|
| NIH | Has signaled it will refuse applications it considers substantially developed by AI; moved in 2025 to curb high-volume AI-generated submissions. Assistive use is not the target — wholesale generation is. |
| NSF | Permits assistive use but is moving toward disclosure of generative-AI use in proposal prep; prohibits reviewers from uploading proposals into non-approved AI systems. |
| Other federal (DOE, Dept. of Education, etc.) | Increasingly publishing AI-use and disclosure expectations; specifics vary by agency and solicitation. Read the NOFO. |
| Private foundations | Highly variable. Most are silent; some now ask whether AI was used. Expect more disclosure questions over time. |
NIH: the strictest line so far
The NIH has been the most explicit so far, signaling it will refuse applications it considers substantially developed by AI. Its concern is twofold: applications whose intellectual substance was produced by AI rather than the investigator, and a surge of near-duplicate, AI-mass-produced submissions that strain peer review. The practical takeaway for an honest applicant is simple: AI can help you understand a funding opportunity, organize your thinking, and polish your writing — but the science, the Specific Aims, and the Research Strategy must be yours.
NSF and disclosure
The NSF's approach centers on transparency and the integrity of merit review. It has restricted reviewers from putting proposals into generative-AI tools (a confidentiality safeguard) and has signaled that applicants should be prepared to disclose how generative AI was used in preparing a proposal. Disclosure is not the same as prohibition — but it means you should be able to describe, honestly and specifically, what the AI did and what you did.
What "substantially developed by AI" actually means
No funder has published a bright-line test, but the spirit is consistent. Think of a spectrum:
- Clearly fine (assistive):using AI to summarize an RFP, check that you've addressed every required element, suggest a clearer phrasing of a sentence you wrote, or catch an unsupported claim.
- Gray zone (disclose, be careful):asking AI to draft a first version of a section that you then heavily rewrite. Many funders tolerate this if you disclose it and the result is genuinely your work — but it's where risk starts.
- The thing policies target: pasting the RFP into a chatbot, lightly editing the output, and submitting it as your own. The ideas and analysis came from the model, not you.
How to use AI without crossing the line
The reliable strategy is to keep yourself as the author and use AI as an assistant that proposes rather than produces. Concretely:
- You write the substance. Let AI react to your draft — flag gaps, check the rubric, suggest tighter wording — rather than generate the draft from a prompt.
- Keep an authorship trail. Save drafts and version history, and keep a record of which suggestions you accepted or rejected. If a funder ever asks, you can show your work.
- Disclose when asked, accurately. If the solicitation asks about AI use, describe it specifically and honestly.
- Never let AI invent facts.Hallucinated statistics and fabricated citations are both an integrity problem and a fast way to lose a reviewer's trust. Ground every claim in a real source.
This is exactly the model Write Alongside is built around: you author, the AI rides alongside, and nothing is committed without you — which makes a clean authorship trail a by-product of how you already work. If you want the longer argument for why this beats full-generation tools, see Should you let AI write your grant?
A note on currency
Funder AI policies are changing quickly — sometimes mid-cycle. Nothing here substitutes for reading the actual notice of funding opportunity for your program and, when there's any doubt, emailing your program officer. The safest posture is also the simplest: stay the author, use AI to help, and be able to prove it.
New to grant writing entirely? Start with our complete 2026 guide to writing a grant proposal.
Frequently asked questions
Can I use AI to help write a grant proposal in 2026?
Generally yes — most funders permit using AI as an assistive tool (research, editing, checking requirements) as long as you remain the author and the ideas and analysis are genuinely yours. What an increasing number of funders prohibit or restrict is AI generating the substance of the application. The safe path is AI-assisted, human-authored: you write, AI helps, and you can show your work.
Does the NIH allow AI-written grant applications?
The NIH has signaled it will refuse applications that are substantially developed by AI, and in 2025 it moved to limit large volumes of AI-generated submissions. Using AI to help you research, organize, or proofread is different from having AI write your Specific Aims or Research Strategy. Always check the current NIH Guide notice for your funding opportunity before submitting.
Do I have to disclose that I used AI on a grant proposal?
Sometimes. The NSF and several federal agencies have moved toward requiring or expecting disclosure of generative-AI use in proposal preparation, and many foundations are adding disclosure questions. Policies change frequently, so read your specific solicitation and, when in doubt, ask your program officer.
What does "substantially developed by AI" mean?
There's no single legal definition, but funders use it to describe applications where AI produced the core intellectual content — the ideas, the argument, the analysis — rather than the applicant. Using AI to tighten prose you wrote, surface gaps, or check formatting is assistive. Pasting an RFP into a chatbot and submitting its output is the kind of thing the phrase is aimed at.
How do I prove my proposal wasn't written by AI?
Keep your authorship trail: drafts, notes, version history, and a record of which suggestions you accepted or rejected. Tools designed around human authorship (where you write and AI only proposes) make this trail a natural by-product rather than something you have to reconstruct after the fact.