AI for Non Profits Network: Weekly Briefing 07/07 - special issue
Something different this week. We spent this morning on a panel in front of a room full of charity finance leaders, and came back with one idea worth sharing: the segment of one.
In The Briefing this week:
š Special edition: The Segment of One - a dispatch from a room full of charity finance leaders
ā Interesting News and Funding Calls - two deadlines inside two weeks
š From Across the Network
This newsletter is supported by Whitelabel.ai - helping nonprofits cut through AI noise with practical tools built for mission-driven teams.
š The Segment of One
A dispatch from this morningās Charity Finance Group roundtable.
I know the look a room gives when the āAI personā is introduced. Shoulders tense. Here we go - more hype about a technology that will fix everything and cost nothing.
So let me tell you the most useful thing said all day. It wasnāt mine, and it wasnāt about technology at all.
It was this: AI is a strategic question, not a technology one. The organizations getting it wrong bought a clever tool and went looking for a problem to point it at. The ones getting it right started with a problem worth solving and a number they wanted to move.
Which is a relief, honestly, because it means you donāt need to understand the technology to make a good decision about it. You need to understand your own organization.
Hereās how Iāve come to think about where AI actually earns its place in a charity. Three buckets.
1. Give your people their time back
The least glamorous bucket, and probably the most valuable. One of the charities we work with runs a grant for people going through medical treatment. Every application went out to a third-party eligibility checker, at real cost, hundreds of times a month.
We replaced it with a smart form that works out eligibility as the applicant goes, and nudges people who stall - you might still qualify; go check your insurance and come back. It paid for itself within weeks of going live. More to the point, it gave staff their time back for the work only humans should be doing.
Thereās a hopeful footnote here, and itās the one we led with in last weekās issue: Gartnerās 2026 CMO Spend Survey found that the organizations furthest along with AI are raising their spend on people at the same time ā laborās share of budget rose from 21.9% to 24.5% year over year, and a shortage of skilled people, not technology, was the most-cited barrier. (The usual caveat: thatās corporate marketing data, not nonprofit data ā but the pattern is what travels.) This isnāt the redundancy story we were all braced for. Itās a capacity story.
2. Stop segmenting. Start talking to one person.
Hereās the idea I canāt stop thinking about. For decades weāve segmented donors - bucketed them by age, gift size, zip code - because that was the best we could do. We couldnāt talk to everyone individually, so we talked to groups.
That constraint is gone. AI lets you have a genuinely relevant, one-to-one conversation at the scale of two thousand donors, or two hundred thousand. Iāve started calling it the segment of one.
Concretely: instead of blasting the same monthly email to the whole list, organizations can surface wildfire updates to the supporter who gave to wildfires, and something else to the supporter who cares about something else. Same newsletter. Different, relevant content. One social-impact charity we work with saw a meaningful double-digit uplift in post-event giving simply by following up with a message tuned to what each attendee actually engaged with - instead of a generic āthanks for coming.ā
But let me be honest: this is not a silver bullet. We are all drowning in email, and the answer is emphatically not to send more. The whole point of the segment of one is relevance, not frequency. Done badly, personalization is just noise with your name on it. Weāre keen to explore this concept more with non-profit orgs, so drop us an email on hello@aifornonprofitsnetwork.org to partner up.
3. Turn what you already do into something new
The bucket that surprises people. When one org made 30 years of audience specific resources genuinely accessible through AI, they didnāt just help their audience - they ended up holding one of the richest pictures of what that audience actually need. That opened partnership and revenue conversations with other partners nationwide. A value exchange that didnāt exist the year before.
What Iād actually tell you to do
Not this: write a sweeping AI strategy the size of a phone book.
This: pick one painful, measurable process, something with a clear cost and a clear number. Run a small, low-risk experiment. See if the metric moves. If it does, do it again somewhere else.
Two things to hold onto while you do. First, itās almost always a data problem before itās an AI problem - most organizations donāt lack tools, they lack usable data, and thatās the real work. Second, do it with consent. The segment of one runs entirely on data people knowingly gave you. Creepy is using data someone didnāt know you had. Relevant is using what they told you. Stay firmly on the right side of that line and you keep the one thing a charity canāt afford to lose: trust.
The charities pulling ahead right now arenāt the ones spending the most, or the ones with the biggest tech teams. Theyāre the ones who picked one thing and started.
So - whatās the one process youād hand to an AI tomorrow if you could? Hit reply and tell me. I read them all.
ā Jak
3) ā Interesting News and Funding Calls
OpenAI Foundation ā 2026 People-First AI Fund closes July 15 at 11:59 PM PT ā now under two weeks out. $50M in unrestricted grants for US 501(c)(3) standalones with $500Kā$10M budgets, priority on the $1ā8M band. If youāre a fit and havenāt started, this is the week - let us know, we can help!
Free forum ā āWork Smarter: How Nonprofits Are Innovating with AI,ā Tuesday, July 21, 2 p.m. EDT ā two weeks out. Nonprofit and foundation staff on how they vet tools, weigh environmental costs, and keep the work human-centered. All registrants get the recording and transcript. Register free.
4) š 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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