31% Would Give Less: Navigating Donor Skepticism About AI in Nonprofits
New research reveals a significant trust gap between nonprofit AI adoption and donor comfort levels. With nearly a third of donors saying they would reduce giving if they knew a nonprofit used AI, organizations must take a strategic approach to transparency, communication, and donor empowerment to protect relationships while embracing innovation.
The nonprofit sector is in the middle of a paradox. According to the Virtuous and Fundraising.AI 2026 report, 92% of nonprofits now use AI in some form. At the same time, according to the Fundraising.AI "Donor Perceptions of AI" study, 31% of donors say they would be less likely to donate if they discovered a nonprofit was using artificial intelligence. That gap between organizational adoption and donor sentiment represents one of the most significant fundraising risks of the current moment, and most nonprofits are not prepared to address it.
The instinct for many organizations is to quietly adopt AI tools without drawing attention. After all, if donors do not know about the AI, they cannot object to it. But this approach carries its own risks. In an era where information spreads rapidly and trust is fragile, the discovery that an organization has been using AI without disclosure can do far more damage than a proactive conversation ever would. As we explored in our article on donor attitudes toward AI, the question is not whether to tell donors, but how and when.
The research tells a more nuanced story than the headline number suggests. While 31% of donors express concern, 43% say AI use would have a positive or neutral effect on their giving, and 9% would actually be more likely to donate. The challenge is not that all donors oppose AI. The challenge is that nonprofits must communicate thoughtfully to retain the skeptics without alienating the supporters who see AI as a sign of forward-thinking leadership.
This article breaks down the research on donor attitudes toward nonprofit AI use, explores the specific concerns driving skepticism, and provides a practical framework for building trust through transparency. Whether your organization is just beginning to explore AI or has already integrated it across your operations, understanding and responding to donor sentiment is essential for protecting your fundraising revenue and strengthening long-term relationships.
What the Research Actually Shows
The 31% figure from the Fundraising.AI "Donor Perceptions of AI" study is striking, but it requires context. Survey data on hypothetical behavior does not always translate directly to real-world giving decisions. Donors may express discomfort with AI in the abstract while continuing to support organizations they trust. That said, the data should not be dismissed. It reflects genuine unease that, if left unaddressed, can erode the donor relationships nonprofits depend on.
The full picture from the study reveals a more complex landscape. Of the donors surveyed, 9% said AI use would make them more likely to donate, seeing it as a sign that the organization is efficient and modern. Another 43% said it would have a positive or neutral effect on their decision. The 31% who expressed concern represent a significant minority, but not a majority. The remaining donors were uncertain, which means their opinions can still be shaped by how nonprofits communicate about their AI practices.
Separate research from Fidelity Charitable, conducted in August 2024 with 1,006 donors, adds another dimension. That study found that 34.8% of donors have become more selective in their charitable giving choices specifically because of concerns about AI. This selectivity does not necessarily mean donors are giving less overall. It means they are paying closer attention to which organizations receive their support, and AI practices are becoming part of that evaluation. For nonprofits, this means that transparency about AI is becoming a competitive differentiator, not just a compliance exercise.
31%
Would be less likely to donate if a nonprofit uses AI
43%
Say AI use would have a positive or neutral effect on giving
34.8%
Have become more selective in giving due to AI concerns (Fidelity Charitable)
Understanding Donor Concerns
Donor skepticism about AI is not monolithic. The Fundraising.AI study identified specific concerns that drive negative sentiment, and understanding the ranking of these concerns is critical for crafting an effective response. Nonprofits that address the right concerns in the right order will be far more effective at maintaining trust than those who offer generic reassurances.
#1 Concern: AI Bots Portrayed as Humans
34% of donors rank this as their top concern, and 50% place it in their top three
The single greatest fear donors have about nonprofit AI use is deception. Donors want to know whether they are communicating with a real person or a machine, and they feel strongly that organizations should be upfront about it. This concern runs deeper than technology, it touches on the fundamental trust relationship between a donor and the organization they support. When someone shares a personal story about why a cause matters to them, or asks a sensitive question about how their money is used, they want to know a human being is on the other end.
For nonprofits, this means that any use of chatbots, AI-generated emails, or automated responses must be clearly labeled. The standard is not just technical compliance but authentic communication. Donors are not opposed to AI handling routine tasks, but they feel strongly that they should never be misled about whether they are interacting with a person or a program.
#2 Concern: Privacy and Data Security
66% of donors place data privacy in their top three concerns
The second most significant concern among donors is what happens to their personal information when AI systems are involved. Donors already entrust nonprofits with sensitive data, including financial information, contact details, giving history, and sometimes deeply personal stories about their connection to a cause. The introduction of AI raises questions about whether that data is being fed into external systems, shared with third parties, or used in ways donors never consented to.
This concern is amplified by high-profile data breaches across industries and growing public awareness of how AI models are trained on user data. Nonprofits must be prepared to explain not just what AI tools they use, but how donor data flows through those systems. As we discuss in our guide on AI transparency in fundraising, clear data governance policies are no longer optional for organizations using AI.
#3 Concern: Algorithmic Bias
Donors worry AI systems may perpetuate unfair patterns in who receives outreach and support
Algorithmic bias represents a particularly sensitive concern for the nonprofit sector. Organizations that exist to serve vulnerable populations face heightened scrutiny about whether their AI tools might inadvertently discriminate. Donors worry that AI-driven donor scoring, beneficiary selection, or resource allocation could perpetuate existing inequities rather than address them. If an AI system consistently deprioritizes certain communities or demographics based on historical data patterns, it undermines the very mission the nonprofit exists to fulfill.
Nonprofits can address this concern by conducting regular audits of their AI systems, being transparent about the data their models are trained on, and establishing clear policies for human oversight of AI-driven decisions that affect beneficiaries or donor relationships.
#4 Concern: Loss of Human Touch
Donors fear AI will replace the personal relationships that motivate giving
Philanthropy is fundamentally relational. Many donors give not just because they believe in a cause, but because they have a personal connection, a relationship with a staff member, a community tie, or a shared experience. The concern that AI will replace these human connections with automated interactions strikes at the heart of what motivates charitable giving. Donors worry that the thank-you call they receive, the impact report that moves them, or the event invitation that makes them feel valued will be generated by a machine rather than composed with genuine care.
Organizations that use AI well understand that the technology should enhance human capacity, not replace it. When AI handles data entry, scheduling, and initial research, fundraisers have more time for the personal interactions that build lasting donor relationships. Framing AI as a tool that empowers staff rather than a replacement for staff can significantly reduce this concern.
#5 Concern: Job Displacement
Donors worry that AI adoption will lead to layoffs within organizations they support
The job displacement concern carries a unique weight in the nonprofit sector. Donors who give to social-service organizations, workforce development programs, or community development initiatives may see a contradiction in their supported nonprofit eliminating staff positions through automation. If a donor gives to help people achieve economic stability, learning that the nonprofit itself is replacing workers with AI can feel deeply inconsistent.
Nonprofits can proactively address this by being transparent about how AI affects their workforce. Organizations that redeploy staff to higher-value work, invest in training, or use AI to fill capacity gaps rather than eliminate positions have a compelling story to tell. Being honest about this topic, rather than avoiding it, builds credibility.
The Generational and Giving-Level Divide
Donor attitudes toward AI are not uniform across demographics. The research reveals significant differences based on both age and giving level, and these differences have profound implications for how nonprofits should approach AI communication with different donor segments. A one-size-fits-all approach to AI disclosure will inevitably alienate some portion of your donor base.
Younger donors, particularly Millennials and Gen Z, are meaningfully more accepting of AI use in nonprofits. Having grown up with technology, they tend to view AI as a natural evolution rather than a threat. They are more likely to fall into the 9% who would increase giving or the 43% who are neutral to positive. For these donors, AI adoption can signal that an organization is innovative, efficient, and capable of maximizing impact. With an estimated $84.4 trillion in assets expected to transfer to Millennials and Gen Z through 2045, understanding and responding to younger donor preferences is not optional. It is essential for long-term sustainability.
The giving-level data adds another important dimension. Major donors are significantly more supportive of nonprofit AI use, with 30% expressing positive sentiment compared to 19% of mid-level donors and just 13% of small donors, per the Fundraising.AI study. This pattern likely reflects several factors. Major donors tend to have more exposure to technology in their professional lives, greater understanding of operational efficiency, and more personal interaction with nonprofit leadership, which provides opportunities for direct conversation about how and why AI is being used.
The strategic implication is clear. Nonprofits should tailor their AI communication by audience segment. Major donors may appreciate detailed briefings on AI strategy and its impact on organizational effectiveness. Mid-level donors may respond best to stories about how AI helps staff spend more time on mission-critical work. Small donors, who are the most skeptical group, need reassurance that AI is not replacing the human values that drew them to the organization. For deeper strategies on engaging donors across giving levels, see our guide on AI and legacy giving.
Major Donors
30%
express positive sentiment toward nonprofit AI use. Most likely to view AI as a sign of strong organizational leadership and operational sophistication.
Mid-Level Donors
19%
express positive sentiment. This middle group is persuadable and responds well to concrete examples of AI improving organizational effectiveness.
Small Donors
13%
express positive sentiment. This group needs the most reassurance about human connection and mission alignment when organizations discuss AI.
What Donors Actually Support
The research reveals an important nuance that gets lost in the headline numbers. Donors are not uniformly opposed to AI. They draw clear distinctions between use cases they support and those that make them uncomfortable. Understanding these distinctions is essential for nonprofits deciding where to deploy AI first and how to communicate about it.
According to the Fundraising.AI study, donors see the greatest potential for AI in fraud detection, with 48.3% viewing this as a positive application. This makes intuitive sense. Donors want their contributions protected, and AI's ability to identify suspicious patterns and prevent financial fraud aligns directly with donor interests. When nonprofits communicate about AI in the context of protecting donor dollars, they are speaking to a concern that nearly half of donors already support.
Operational efficiency ranks second, with 44.7% of donors viewing AI-driven efficiency improvements favorably. Donors understand that nonprofits operate with limited resources, and they appreciate tools that help organizations do more with less. When AI automates data entry, streamlines reporting, or reduces administrative overhead, it frees up resources for mission delivery. This framing resonates because it connects AI use directly to the impact donors are trying to fund.
However, donors express significantly more caution about AI in fundraising communications, with only 29.6% viewing this positively. This is the area where the "loss of human touch" concern manifests most concretely. Donors are wary of receiving AI-generated appeals, automated follow-ups, or communications that feel impersonal. The irony is that many AI tools in fundraising are designed to make communications more personal, not less, by helping organizations segment audiences, tailor messaging, and respond more quickly. The communication challenge for nonprofits is bridging this perception gap.
Fraud Detection
48.3% of donors view positively
- Protecting donor contributions from theft and misuse
- Identifying suspicious transaction patterns in real time
- Ensuring financial accountability and stewardship
Operational Efficiency
44.7% of donors view positively
- Automating repetitive administrative tasks
- Reducing overhead so more funds reach the mission
- Streamlining reporting and compliance processes
Fundraising Communications
Only 29.6% of donors view positively
- Requires careful framing around personalization benefits
- Always maintain human review of donor-facing messages
- Be transparent about AI assistance in content creation
The Transparency Imperative
If there is one finding that should shape every nonprofit's approach to AI communication, it is this: 93% of donors rate transparency in AI usage as "very important" or "somewhat important," according to the Fundraising.AI study. This near-universal demand for openness is the single clearest signal in the research. Donors may disagree about whether AI is good or bad for nonprofits, but they overwhelmingly agree that they deserve to know about it.
Yet the gap between what donors want and what nonprofits provide is enormous. According to the Virtuous and Fundraising.AI 2026 report, 70% of nonprofits have no formal AI policy. That means the vast majority of organizations using AI have no documented guidelines for how they disclose that use to stakeholders. This is not just a governance gap. It is a trust risk. When donors inevitably learn about AI use, whether through media coverage, social media discussions, or direct experience, the absence of a clear policy will look like an attempt to hide something.
The 92% adoption rate paired with the 70% policy gap creates a particularly dangerous situation. Organizations are using AI widely but have no framework for talking about it. This silence is not neutral. In a trust-based relationship like philanthropy, silence about significant operational changes is itself a form of communication, and not a positive one. Our article on AI transparency in fundraising provides a detailed framework for developing disclosure practices that build rather than erode trust.
It is also worth noting that the 7% of nonprofits reporting major improvements from AI, per the same report, suggests that most organizations are still in early stages of implementation. This creates an opportunity. Nonprofits that establish strong transparency practices now, while AI use is still evolving, will be far better positioned than those that try to retrofit transparency after a trust incident forces their hand.
93%
of donors rate transparency in AI usage as important
This near-universal demand for openness is the clearest signal in all the research. Donors may disagree about AI, but they agree they deserve to know about it.
70%
of nonprofits have no formal AI policy
The gap between donor expectations and organizational preparedness represents both a risk and an opportunity for nonprofits willing to lead on transparency.
Building an AI Disclosure Strategy
Moving from awareness of the problem to a practical solution requires a structured approach. An effective AI disclosure strategy does not mean publishing every technical detail about your tools. It means providing donors with the information they need to maintain trust, presented in a way that is accessible and honest. The following framework helps organizations build disclosure practices that satisfy donor expectations while supporting continued AI adoption.
Step 1: Audit Your Current AI Use
Document every AI tool and its purpose before communicating externally
Before you can be transparent with donors, you need to be transparent with yourself. Many nonprofits are surprised to discover how many AI tools are already embedded in their operations, from email platforms with AI-powered send-time optimization to CRM systems with predictive scoring. Create a comprehensive inventory that categorizes each tool by its function, what data it accesses, and whether it directly affects donor interactions. This audit becomes the foundation for everything that follows.
- List every AI tool, including those embedded in existing platforms
- Categorize by function: operations, communications, analysis, decision support
- Map data flows to understand what donor information each tool accesses
- Identify which tools directly affect donor-facing interactions
Step 2: Create a Public AI Statement
Publish a clear, accessible summary of how your organization uses AI
Develop a public-facing statement that explains your organization's approach to AI in plain language. This does not need to be a technical document. It should cover what types of AI tools you use, why you use them, how donor data is protected, and what human oversight is in place. Place this statement on your website and reference it in donor communications. The goal is to make it easy for any donor who wants to learn about your AI practices to find the information quickly. Organizations that need guidance on where to start with AI strategy can refer to our nonprofit leader's guide to AI.
- Write in plain language that avoids technical jargon
- Explain the "why" behind each category of AI use
- Include specific commitments about data protection and human oversight
- Make the statement easy to find on your website
Step 3: Train Your Team
Ensure every donor-facing staff member can confidently discuss AI practices
Transparency fails if it exists only in a document. Every staff member who interacts with donors, from the development director to the volunteer answering phones, should understand your AI practices well enough to answer basic questions. This does not mean turning everyone into an AI expert. It means equipping them with clear talking points, approved language, and the confidence to say, "That is a great question, let me connect you with someone who can give you a detailed answer" when they encounter a question beyond their knowledge. Building internal capacity through AI champions can help organizations develop this competency systematically.
- Develop talking points for common donor questions about AI
- Role-play donor conversations to build staff confidence
- Establish clear escalation paths for detailed questions
Step 4: Communicate Proactively
Share your AI story before donors hear it from someone else
The worst time to explain your AI use is in response to a donor complaint or a critical news story. Proactive communication allows you to frame the narrative, emphasize the benefits, and address concerns on your own terms. Consider including AI updates in annual reports, donor newsletters, or board communications. When you launch a new AI tool that affects donor experience, communicate about it before donors encounter it. The goal is to ensure that donors never feel surprised or deceived by your technology choices.
- Include AI updates in annual reports and newsletters
- Announce new AI tools before donors encounter them
- Frame AI use in terms of mission impact and donor value
- Invite donor feedback and questions about AI practices
Giving Donors Control
Beyond transparency, the research points to a strong donor desire for agency. The Fundraising.AI study found that 52% of donors want the ability to opt out of AI-driven interactions, and 48% want third-party audits of AI systems. These numbers reflect a broader trend in how people relate to technology. People are more comfortable with tools they can control than tools that operate invisibly. Nonprofits that give donors meaningful choices about how AI is used in their relationship will build significantly more trust than those that present AI as a take-it-or-leave-it proposition.
Implementing opt-out options does not mean creating a parallel, AI-free experience for every interaction. It means identifying the touchpoints where donor preference matters most and providing meaningful alternatives. For example, a donor who prefers human-written communications should be able to flag that preference. A donor who is uncomfortable with AI-driven giving recommendations should be able to turn that feature off. These choices do not need to be complicated, but they do need to be genuine.
The demand for third-party audits of AI systems, expressed by 48% of donors, signals a desire for independent verification that goes beyond organizational self-reporting. While comprehensive AI audits may be beyond the budget of many nonprofits today, there are intermediate steps that demonstrate accountability. These include publishing regular reports on AI usage and outcomes, inviting board oversight of AI practices, and participating in sector-wide frameworks for responsible AI use. The key principle is that donors want evidence, not just promises.
Opt-Out Preferences
52% of donors want the ability to opt out of AI-driven interactions
- Add AI communication preferences to donor profiles
- Allow donors to request human-only interactions for sensitive communications
- Provide opt-out options for AI-driven recommendations and scoring
- Make preference changes easy and immediate
Accountability Measures
48% of donors want third-party audits of AI systems
- Publish annual reports on AI usage, outcomes, and data practices
- Establish board-level oversight of AI strategy and ethics
- Participate in sector-wide responsible AI frameworks
- Consider independent reviews of AI tools that affect donor data
Bridging the Trust Gap
The ultimate challenge for nonprofits is not choosing between AI and donor trust. It is finding the approach that allows both to coexist and reinforce each other. The research suggests this is achievable, but it requires intentionality. Organizations that treat AI communication as an afterthought will likely see trust erosion. Organizations that integrate transparency into their AI strategy from the beginning will find that honest communication actually strengthens donor relationships.
Start with the use cases donors already support. Leading with fraud detection and operational efficiency, where donor approval exceeds 44%, creates a foundation of positive association. Once donors see AI delivering value in areas they care about, they become more open to broader applications. This sequencing matters. Launching your AI communication strategy with "We are using AI to write your fundraising appeals" triggers the exact concerns that drive the 31% figure. Leading with "We are using AI to protect your donation from fraud and ensure more of your gift reaches our mission" reframes the conversation entirely.
The organizations that navigate this transition most effectively will be those that view donor skepticism not as an obstacle but as valuable feedback. The 31% figure is not a condemnation of AI. It is a signal about what donors need in order to feel comfortable. They need honesty. They need control. They need evidence that AI is serving the mission, not replacing the human relationships that make philanthropy meaningful. Nonprofits that provide these things will find that donor skepticism evolves into donor confidence.
The stakes are high, and the window is narrow. As AI becomes more visible in every sector, donors will form opinions about which organizations handle it responsibly and which do not. The nonprofits that invest in thoughtful, transparent, donor-centered AI practices today will be the ones that retain trust, sustain giving, and thrive in the years ahead.
Conclusion
The 31% figure is a wake-up call, but it is not a death sentence for nonprofit AI adoption. The research paints a picture of a donor base that is concerned, discerning, and ultimately persuadable. Donors are not asking nonprofits to stop using AI. They are asking nonprofits to be honest about it, to protect their data, to maintain human connection, and to give them a voice in how technology shapes their relationship with the organizations they support.
The 93% of donors who want transparency are telling nonprofits exactly what they need to do. The 70% of organizations without an AI policy are revealing exactly where the gap lies. Closing that gap requires commitment, investment, and a willingness to have uncomfortable conversations. But the reward is significant. Organizations that get this right will not just survive the AI trust challenge. They will emerge with stronger, more resilient donor relationships built on a foundation of genuine transparency.
The path forward is clear. Audit your AI use. Create a public disclosure framework. Train your team. Give donors choices. Lead with the use cases donors already support. And above all, remember that in philanthropy, trust is not a cost of doing business. It is the business itself. Every AI decision your organization makes should be evaluated not just for its efficiency gains, but for its impact on the relationships that make your mission possible.
Build Donor Trust in Your AI Strategy
Navigating donor skepticism about AI requires more than good intentions. It requires a clear strategy, strong communication, and a commitment to transparency. Let us help you develop an AI approach that strengthens donor relationships while driving organizational impact.