Is it acceptable for charities to use AI when writing grant applications?

Yes. Most charities now use AI when writing grant applications, and survey evidence suggests this is widely viewed as acceptable when done responsibly. AI is generally seen as an assistive tool, not a replacement for human judgement. Responsible use means the charity retains control of content, accuracy and tone, and ensures the application genuinely reflects its real work and values.

How are charities actually using AI in funding bids?

Charities mainly use AI to support and refine their own work rather than to generate bids from scratch. Common uses include clarifying questions, improving structure and flow, reducing word counts, checking alignment with funder criteria, and organising ideas. The core narrative is usually written by a person, with AI used afterwards to tidy, refine or sense‑check the draft.

Is AI being used to write entire grant applications?

Survey respondents say not with strong agreement that using AI to write whole applications without human input leads to poor results. Fully AI‑written bids are often generic, lack organisational voice, and fail to reflect lived experience or local context. Most charities report deliberately avoiding this approach and instead using AI only after drafting their own content.

Can funders tell if AI has been used in a grant application?

Pure, unedited AI‑written applications are often easy for experienced reviewers to identify because they feel generic and lack specificity. However, when AI is used as a drafting or editing aid and the content is then properly rewritten and humanised, there is currently no reliable technical or human method to identify AI involvement. Evidence shows both detection tools and reviewers struggle to distinguish high‑quality hybrid work from fully human writing.

Are grant makers rejecting applications simply because AI was used?

There is no evidence of widespread rejection solely because AI was used. Where applications are unsuccessful, this is usually due to poor quality, generic language or lack of authenticity. In many cases, what funders believe are “AI applications” are actually weak applications. Funders consistently emphasise that they care about clarity, insight and genuine understanding of community need.

What are the main risks of using AI in grant writing?

The biggest risk is producing generic, bland applications that fail to stand out. Other risks include factual errors, misinterpreting funder criteria, data protection concerns and losing the charity’s authentic voice. These risks increase when AI output is used without review. The page states these risks are manageable if charities treat AI as a support tool and ensure every output is checked, edited and rewritten.

Is AI increasing the number of grant applications being submitted?

The page states there is clear evidence that grant application volumes have surged in recent years, mainly linked to inflation, cost‑of‑living pressures, rising service demand and cuts to public sector funding. While concerns exist about AI enabling mass‑produced bids, the survey found no indication that charities are using AI to generate large volumes of low‑quality applications. Most charities remain cautious and selective in their use.

Is AI unfair to small charities or people for whom English is a second language?

Used well, AI can reduce barriers for small charities, people with dyslexia, learning difficulties, limited fundraising experience, and those for whom English is a second language. However, the page notes concern that some reviewers may incorrectly assume non‑UK spelling or phrasing indicates AI use. While it says there is no firm evidence of widespread bias, it highlights the need for fair assessment and better understanding.

What do funders care about most when reviewing AI‑assisted bids?

The page states funders consistently emphasise passion, individuality and real understanding of the community being served. They value clarity and honesty over polished language. Applications that reflect lived experience, local knowledge and genuine organisational voice are described as performing better than generic submissions. AI can support clarity and structure, but the charity’s values, insight and judgement should remain visible throughout.

What does good practice look like when using AI for grant applications?

Good practice described on the page is drafting the main content in your own words, using AI to refine it, and checking every output carefully. It recommends removing generic language, verifying facts, and ensuring the final application reflects real work and authentic voice. AI should support decision‑making and writing quality, not replace judgement, experience or accountability.

Should charities use AI in writing grant applications?

The page concludes that for most charities the question is no longer whether to use AI, but how to use it well. It states careful, transparent and limited use can save time, improve clarity and widen access without undermining trust. It also calls for clearer guidance from funders and better AI training for charities so AI becomes a levelling tool rather than a new source of inequality.

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