The New Currency of Fundraising: Trust in the Age of AI

Fundraising has always been a story of trust. Donors give because they believe—in a mission, a moment, or a relationship. But as artificial intelligence weaves its way into how we segment, message, and analyze supporters, that trust sits on new ground.

The AI Equity Project 2025, which surveyed more than 850 nonprofits across North America, uncovered an uneasy truth: nearly 80% of nonprofits are using AI in some way, yet only 9% feel ready to use it responsibly. 

The enthusiasm is real—but so is the vulnerability.

As Kate Kramer of Avid AI, put it upon reading this report: “Maybe the real question isn’t whether nonprofits are ready for AI. The question is whether they are resourced for it.”

When Curiosity Outruns Capacity

From ChatGPT-assisted donor letters to predictive analytics in CRMs, fundraisers are already experimenting. But the report shows that only 6.9% of nonprofits have internal AI policies, and fewer than 4% have budgets for AI-specific training. We are curious, but underprepared.

That imbalance has real implications. Imagine an AI tool that predicts who is “most likely to give.” If the training data reflects historical bias—favoring wealthier, white, or urban donors—it could quietly deprioritize marginalized communities. The result? AI amplifies inequities under the guise of efficiency.

The danger isn’t malicious intent; it’s absence of structure. When experiments happen in isolation, mistakes become systemic. As Julia Gackenbach of DonorPerfect reminds us from this data, “Fear and doubt thrive in silence, while clarity and confidence grow through shared learning.”

Data as Relationship, Not Resource

Fundraisers sit at the intersection of human connection and data. Every record in a database represents a story, a family, a belief. But as AI tools promise faster insights, we risk treating data as an extractive resource rather than a relational one.

The report’s Equity Practice Ratio—the share of organizations that practice data equity among those familiar with it—fell from 92% to 62% in just one year. That means we are talking more about fairness but practicing it less. For fundraisers, this should ring alarm bells. When data equity erodes, so does donor trust.

Transparency is the antidote. Donors are becoming more aware of how their data is used. They want to know that the organizations they love are not outsourcing empathy to algorithms. Building trust in the AI era means making visible the care behind your data decisions: clear privacy policies, explicit consent, and honest communication about what’s automated and what’s human.

The Real ROI of AI

AI can absolutely help fundraisers—from saving hours of copywriting to identifying lapsed donors more quickly. But the true return on investment isn’t speed; it’s stewardship.

The AI Equity Project highlights that smaller nonprofits, which make up the majority of our sector, often lack governance frameworks and internal champions. Without those, AI becomes a treadmill—more data, more dashboards, less reflection. The organizations seeing the best results are the ones treating AI as a team practice grounded in ethics, not a tech experiment led by one enthusiastic staff member.

Reframing Success

It’s time to replace the standalone metric “AI adoption rate” with “AI readiness rate.” That means measuring not just how many tools we use, but how equitably and transparently we use them.

Ask yourself and your team:

• Do we have a written statement on responsible AI use?
• Have we reviewed how our tools segment donors—and whom they might leave out?
• Are we training fundraisers to question the data, not just use it?
• When we say “efficiency,” do we mean faster transactions or deeper relationships?

As Nathan Chappell of Fundraising AI says, “Readiness isn’t about racing ahead with technology—it’s about building the leadership, policies, and practices that allow nonprofits to adopt AI with confidence, equity, and care.”

The future of fundraising is not machine-made; it’s human-amplified. AI can write appeals, but it can’t feel gratitude. It can suggest donors, but it can’t build relationships.

The organizations that thrive in this new era will be those that keep equity as the filter and trust as the metric. 

Because when AI aligns with values, generosity grows. And in a world awash with automation, leading with humanity may just be the smartest strategy we have.