AI Resilience Report forFundraising Managers

Right now, AI in fundraising is mostly augmenting people rather than replacing them, but the pace of change is real. On the automation-heavy tasks, generative AI is already doing a lot of the heavy lifting. The top three ways nonprofits use AI chatbots are to check grammar, spelling, and punctuation (53%), to help brainstorm headlines and subject lines (53%), and to create first drafts of content (39%) — which covers a big chunk of the "write press releases" and "design promotional publications" tasks.

For donor research, tools are getting more powerful too: the Chronicle of Philanthropy describes ^[1] how the College of Charleston deployed an "AI fundraiser" that texts and emails alumni to gather personal details, then uses that data to craft personalized appeals featuring their favorite campus spots or professors. On the other hand, 82% of fundraisers say they're comfortable using AI for donor research, but 63% are unsure about using it for donor communications because it feels less personal ^[2] — which lines up with why the "relationship" tasks stay at just 5–8% automation. The U.S. Bureau of Labor Statistics notes ^[3] that AI is expected to primarily affect occupations whose core tasks can be most easily replicated by generative AI, which fits the fundraising role's split perfectly: writing and research get augmented, while human relationship-building stays human.

Adoption is happening — but unevenly. On the "fast" side, Deloitte launched "Dot Good" in January 2026 ^[4], a discounted AI services suite specifically for nonprofits, because leaders "understand the transformative potential of AI but many lack the financial means and resources to scale or implement the technology." Cheap or free tools like ChatGPT are already widely used, and 30% of nonprofits say that AI has boosted fundraising revenue in the past 12 months. On the "slow" side, budgets and trust are big brakes: 70% of nonprofits believe AI can help reduce workload and improve communications, but 60% say they lack the in-house expertise to assess tools, and only 4% have AI-specific training budgets, and 76% of nonprofits do not have an AI policy.

Donor acceptance is mixed too — 43% of donors say AI use would have a positive or neutral effect on their giving, but 31% say they would be less likely to donate. Ethical and environmental concerns also matter: the Johnson Center for Philanthropy argues ^[5] that after three years of rapid generative AI growth, the next era must focus on good governance. The takeaway for you?

The tasks a computer can copy — drafting, researching, formatting — are shifting fast, but the parts of this job that rely on trust, empathy, in-person meetings, and moving people to give are exactly the parts humans still do best. If you're curious about this career, learning to use AI tools while sharpening your relationship skills is the winning combination.