AI for Non Profits Network: Weekly Briefing 05/12
The weekly digest from a network of non-profits. In this week's briefing: What the give.org Donor Trust Report says; and views from this morning AWS Imagine Nonprofit conference in London.
In The Briefing this week:
đ What's Caught our Eye: Donors say AI summaries arenât moving them
đ Thought for the Week: Live from AWS Imagine London - what the strongest sessions had in common
â Interesting News and Funding Calls
đ From Across the Network
This newsletter is supported by Whitelabel.ai - helping nonprofits cut through the AI noise with practical tools built for mission-driven teams. Find out more at whitelabel.ai - Theyâre giving $50k in technical services to run fundraising pilots - sign up!
1) đ What Caught Our Eye: Donors say AI summaries arenât moving them
The Give.org Donor Trust Report 2026 was published last week: only 7% of donors say AI-generated summaries influenced their giving decisions in 2025.
The report draws on a December 2025 survey of more than 1,500 US adults and nine years of trend data. Openness to being approached by charities reached 42.1%, the second-highest level since 2017, and 63% of Gen Z respondents say they might give more if asked.
The trust gap is the problem. Nearly 68% of respondents say trusting a charity is essential before they will give; only 18% report actually having high trust in the charities they encounter. And what closes that gap is not, on this evidence, AI. Among donors who research before giving, the dominant influences are charitiesâ own websites (54%) and third-party monitors like Charity Navigator and BBBâs Give.org (39%). AI summaries trail well behind.
This matters for two reasons. Every fundraising vendor right now is promising to help you âshow up betterâ in AI-generated answers - the data suggests donors are not making decisions there. And Bennett Weiner, who runs Give.org, said disengagement is increasingly about âuncertainty about whom and what to trustâ rather than indifference. Donors are hunting for credibility, not eloquence.
What to do this week. Open your About, Impact, and Annual Report pages and read them as a donor who has never heard of you. Is the leadership team named? Is the financial breakdown visible without a download? Do you link out to your third-party ratings? Fix those before you spend another hour on AI search optimization. The trust signals donors actually use are still the ones you fully control.
2) đ Thought for the Week: Live from AWS Imagine London - what the strongest sessions had in common
I spent Tuesday morning at AWS Imagine Non-Profit in London. The key message âBuild responsibly with AWS - Governance, Ethics, Accountability.â Two years ago, that would have been the warm-up before the real pitch about agents and models. Today it was the key pitch from AWS with interesting case studies from across their network.
After three years in which every cloud-vendor event for our sector has felt like a relay race of new acronyms, Imagine 2026 was almost stubbornly unglamorous about its tooling. The strongest sessions were about applied AI in multiple non profit contexts; how to choose a pilot, how to talk to a donor in their own language, and how to give up on things that arenât working. The headline isnât the technology. Itâs the operational discipline a sector squeezed by government-funded scarcity rarely allows itself.
Three moments from the morning I thought relevant to share with the network:
The first was The HALO Trust, the mine-clearance non-profit, as well as the huge data they are ploughing through to find mines through satellite and drone imagery, they were also describing how they claw back roughly two months of staff time a year on donor reporting. Saying something in the language each funder wants to read, with the specific framing they care about. The win is translation, not automation. HALO has not replaced a fundraiser with an AI. It has stopped asking its program staff to write the same impact in seven different dialects of donor.
The second is on how to choose a pilot, delivered with an honesty that is rare in this circuit. The framework was simple. Pick a project where the problem is clear and the positive outcome is one that can be moved. Pick a partner you would happily share bad news with - credibility matters more than capability. Start small and build a positive feedback loop across your organization before going wide. Keep things in pilot for longer than feels comfortable. Find the problem before you reach for the solution. And âget comfortable with failing.â Most non-profit cultures cannot afford to fail publicly. The pilot is the one place where they can fail privately, and the leaders who lose that permission tend to lose the upside too.
The third was where conferences and sessions like this help you think completely outside what you normally think of. Like turning to ballet dancing to understand why grave diggers are being injured. The Royal Academy of Dance, just named a Pathfinder Award winner in the generative AI category, is modernizing Benesh Movement Notation - a 1950s system originally designed to write ballet on paper - as the structured backbone of an AI-powered encyclopedia of dance knowledge. The speaker mentioned, almost in passing, that a team in Paris had used the same notation system to analyze why gravediggers were getting injured. The notation is that versatile because it describes the human body moving in space, which turns out to be useful well beyond ballet. The takeaway from the talk was not âAI saves dance.â It was the inverse: a small specialist non-profit was sitting on a piece of niche structured knowledge that nobody else in the world had, and AI is what finally made it operationally useful.
The temptation for non-profits is to copy what enterprise is doing with AI. The actual opportunity is to surface the specific, hard-won, often analogue expertise that makes your organization indispensable in the first place - and to be willing to fail in private while you figure out how to put it to work.
Five lessons I found useful:
Pick the pilot before you pick the platform. Vendors will help you with the second; only you can do the first.
Donor reporting is a translation problem, not an automation one. Solve for âin their languageâ before you solve for âat speed.â
Choose partners you would tell the truth to. The most sophisticated tool is worth less than a credible, patient collaborator.
Keep projects in pilot for longer than feels comfortable. Promotion to âliveâ creates pressure to claim success before you have earned it.
Get comfortable with failing - and make sure your governance has a way to retire a project. If it doesnât, you donât have a governance policy. You have a one-way door.
AWS are releasing a number of Imagine grants for non-profits - and weâre keen to partner with you if you are thinking of applying - just reply to this email or drop us a note on hello@aifornonprofitsnetwork.org.
3) â Interesting News and Funding Calls
Data Shows Gen Z Is In The Beginning Stages Of Philanthropy (Non Profit Times)
Von der Leyen, Hillary Clinton back new push to childproof AI (Politico)
Enterprise AI Is Stalling: 46% of Initiatives Fall Short Despite Rising Investment (Yahoo)
4) đ From Across the Network
Have an event, case study, gathering or interesting insight you would like to share with the network? Drop us a note by replying to this email.
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