Why does AI actually work at some nonprofits and not others?

What does the data actually show?

Board support tracks with two different things: how deeply staff use AI, and how the organization performs financially.

The survey fielded responses from May 1 through May 14, 2026, across nonprofits and educational institutions with at least $500,000 in annual revenue, spanning arts and culture, education, human services, health, and environmental organizations. The margin of error sits at plus or minus 4.4 percentage points at 95% confidence, a disclosed methodology rather than a vague "survey says."

Two numbers stand out. Organizations whose boards strongly endorse AI report extensive use 59% of the time, against 14% where the board supports it "with restrictions." Those same board-endorsed organizations adopted AI agents at 42%, compared to 28% for the restricted group.

Revenue growth followed the same split. 92% of board-endorsed-AI organizations reported revenue growth over the past twelve months, against 81% for organizations where board support came with conditions attached. Across the full sample, 83% reported revenue growth.

I want to be careful here. A correlation between board behavior and revenue is not proof the board caused the growth. But the size of the gap, on both adoption and revenue, inside the same survey and the same population, is hard to explain any other way once every organization already owns the tools.

Why would board support change how deeply staff actually use AI?

Because staff take their cues from what gets asked about, not from what technology is available.

I've watched this pattern outside AI plenty of times. A strategic plan gets approved and filed. Nobody at the board level ever asks how this quarter's work connects to it, so nobody below the board ever has to answer.

The plan is real. The habit of checking on it is not.

AI seems to follow the same rule. If a board only tolerates AI "with restrictions," that reads to staff as permission to experiment quietly and stop there. Nobody above them is going to ask what it's for. If a board actually supports it, someone eventually has to explain, out loud, what the AI is doing and what it's producing.

Momentive's CEO, Ravi Venkatesan, is quoted in the report making a related point about the pressure nonprofits are under generally: "Nonprofits are growing and taking on more complexity, but doing it with fragmented systems that were never designed for where they are headed today." That's vendor commentary, not survey data, but it names the same problem from a different angle. Complexity keeps increasing, and the habit of asking questions at the top often was not built for the load.

What does a board that strongly supports AI actually do differently, day to day?

Almost certainly something closer to accountability than to technology.

I don't have visibility into the specific board meetings behind this survey, but the pattern matches what I see across the sector generally. A board that strongly supports AI probably names someone accountable for it, whether that's a staff role or a committee lead. It probably expects a short update tied to something measurable, a quarterly goal or a specific process, rather than a standing item that never resolves.

None of that requires technical fluency from a single board member. It requires the board to treat AI the way it already treats a budget line or a program outcome: something it expects an answer about.

What should a nonprofit leader do this month?

Bring one direct question to the next board meeting: what specific goal is our AI use tied to right now?

Not a policy question. Not a training question. A goal question. If the honest answer is "nothing in particular," that gap is the finding from this survey showing up inside your own organization, and it costs nothing to name.

Then close the loop the way you would with any other priority. Pick one person who owns the answer. Give it thirty days. Ask again.

A final thought

The organizations in this survey didn't win by adopting AI earlier or spending more on it. They won because someone above the work kept asking what it was for.

That's close to the whole idea behind DeTask: DeTask turns your mission into goals and keeps your leaders, people, and AI aligned around the results that matter. A tool doesn't align itself. Somebody has to keep asking the question that makes it answer to something.

Does your board know what your AI is actually doing right now, and could it explain why?

FAQ

Does this mean nonprofits should give AI unrestricted access to everything?

No. The survey measured board endorsement of AI use generally, not an absence of guardrails. Board-endorsed organizations still set expectations and ask questions; they just don't stop at restriction as the entire policy.

Is a 4x usage gap the same as a 4x results gap?

Not exactly. The survey found a real revenue-growth gap between the two groups, 92% versus 81%, but that comes from self-reported survey data, not a controlled experiment. Treat it as a strong signal worth checking in your own organization, not proof of cause and effect.

What if our board has never discussed AI at all?

That's the most common starting point, not an unusual one. The move is the same either way: bring one specific goal-linked question to the next meeting rather than waiting for a formal policy discussion to happen first.

Where did this data come from?

Momentive Software's Rebuilding the Trust Economy: The 2026 Nonprofit Trends Report, based on a Wakefield Research survey of 500 U.S. nonprofit and education executives fielded May 1 to 14, 2026, published August 6, 2026.