Building the Leadership Nonprofits Need to Make AI Work
Nonprofit Tech Leadership Insights Brief | May 2026
A co-publication of Board.Dev and Dell Technologies.
Nonprofits are not stuck with AI because they lack interest. They are stuck because they lack the leadership to convert experimentation into something that actually delivers.
AT-A-GLANCE
87%
of nonprofits are not using AI organizationally or stuck in early experimentation
12×
more pilots and scaling among organizations where staff and board co-developed AI principles
$72,000–$96,000
annual cost of inaction
for a typical mid-sized
nonprofit
What’s inside
Drawing on a national survey of 180 nonprofits conducted with TechSoup, more than 10 qualitative interviews with nonprofit and sector leaders, and benchmark research from McKinsey, Salesforce, Stanford HAI, IBM, Bridgespan, and others, this brief examines:
- Why adoption is constrained by capacity, not resistance
- The experimentation plateau — and what holds organizations at the starting line
- How governance gaps start with leadership, not the board
- The 12× difference AI-engaged boards make to adoption that sticks
- The cost of inaction — modeled in hours, dollars, and full-time-equivalents
- Case studies from organizations not waiting for perfect conditions
- A board AI-readiness scorecard and a framework for responsible adoption
Who it’s for
For executive directors and nonprofit CEOs — Building the case for AI before bringing it to the board.
For board chairs and board members — Engaging AI as a leadership and accountability question, not a technology briefing.
For funders and sector partners — Reframing AI as a cost-recovery strategy, not a discretionary line item.
Start this week
Before your next board meeting, work through Board.Dev’s free Tech Governance Plan Blueprint—about an hour with your CEO across the four core areas of technology oversight. Or take the 10-minute Board AI Readiness Assessment for a personalized score.