Explore the latest AI marketing and fundraising statistics that empower nonprofits to enhance donor engagement and increase revenue in 2025.

Introduction

As we move further into the digital age, artificial intelligence (AI) continues to reshape various sectors, including the nonprofit landscape. In 2025, nonprofits are increasingly leveraging AI to enhance their marketing and fundraising strategies. This blog delves into the nonprofit AI marketing statistics, highlighting key trends and insights that can help organizations optimize donor engagement and boost revenue.

AI in the Nonprofit Sector

Preparedness and Trust

Despite the growing potential of AI, a significant portion of nonprofits feel unprepared to integrate these technologies:

92% of nonprofits report feeling unprepared for AI implementation.
60% express uncertainty and mistrust regarding AI applications.

These statistics underscore the need for educational initiatives and trust-building measures to facilitate AI adoption in the nonprofit sector.

Perceived Benefits

On the flip side, there’s a strong recognition of AI’s potential benefits:

41% agree that AI would greatly benefit nonprofits.
36% believe AI would directly impact their fundraising strategies.

These figures indicate a growing acknowledgment of AI’s role in enhancing organizational effectiveness and fundraising outcomes.

Educational Gaps

A notable challenge is the lack of AI education within nonprofits:

40% of nonprofits state that no one in their organization is educated in AI.

Addressing this educational gap is crucial for nonprofits to harness AI’s full potential in their operations.

Policy and Security Concerns

Policy development and data security remain areas of concern:

76% of nonprofits lack an AI policy.
70% are concerned about data privacy and security.
63% worry about the accuracy of AI tools.
57% have concerns about representation and biases in generative AI.

These concerns highlight the importance of developing robust AI policies and ensuring ethical AI practices.

AI in Nonprofit Marketing

Transformation Potential

AI holds substantial promise for transforming nonprofit marketing efforts:

75% of nonprofits believe generative AI can transform their marketing.
However, only 25% have concrete ideas on how to implement generative AI.

This gap indicates a need for strategic planning and knowledge-sharing to effectively integrate AI into marketing strategies.

Primary Uses of AI

Nonprofits are primarily utilizing AI for:

Internal productivity (35%)
Marketing and communications (31%)
Development and fundraising (24%)

Focusing on these areas can help nonprofits streamline operations and enhance their outreach efforts.

AI Tools Adoption

The adoption of AI tools varies, with chatbots being the most popular:

ChatGPT is used by 57% of nonprofits.
Copilot by 23%, and Gemini by 14%.
Tools for creating imagery, such as DALL-E (3%) and Midjourney (2%), are less commonly used.

This trend suggests a preference for text-based AI tools over those focused on visual content creation.

Chatbot Applications

AI chatbots are utilized for:

Checking grammar, spelling, and punctuation (53%)
Brainstorming headlines and subject lines (53%)
Creating first drafts of content (39%)

These applications demonstrate AI’s role in enhancing content quality and creativity.

Informal AI Usage

A majority of nonprofits use AI informally:

82% utilize AI ad-hoc, primarily for generating content like donor emails.

Formalizing AI usage can lead to more strategic and impactful applications.

Training and Disclosure

69% of nonprofit marketers using generative AI have not received formal training.
Only 15% of nonprofits disclose their use of generative AI tools.

Investing in training and being transparent about AI usage can build trust and improve effectiveness.

Marketing Performance

AI’s impact on marketing performance is evident:

28% of marketers use generative AI to write emails, resulting in a 13% increase in click-through rates (CTR).
15% of marketers (across all sectors) deem AI indispensable in 2024, up from 6% in 2023.

These improvements highlight AI’s potential to enhance engagement and campaign performance.

AI in Nonprofit Fundraising

AI Adoption for Fundraising

AI is increasingly seen as a valuable tool for fundraising:

67% believe nonprofits should use AI for marketing, fundraising, and administrative tasks.
Only 13% use predictive AI software for donor prospecting.
Less than 1% utilize smart fundraising donation forms and real-time fundraising intelligence.

While recognition of AI’s importance is high, actual adoption remains limited, presenting an opportunity for growth.

Donor Perspectives

Donor attitudes towards AI usage in nonprofits are mixed:

43% believe AI use would have a positive or neutral effect on their giving.
31% would be less likely to donate, while 9% would be more likely.

Understanding and addressing donor concerns is essential for effective AI integration in fundraising.

Financial Impact

AI’s influence on fundraising revenue is tangible:

30% of nonprofits report that AI has boosted fundraising revenue in the past 12 months.
The average one-time donation for AI-utilized donation forms is $161, compared to the industry average of $115.
The average monthly recurring donation is $32, up from the industry average of $24.

These figures demonstrate AI’s potential to significantly enhance fundraising outcomes.

Donor Generosity and AI Usage

The generosity of donors correlates with their likelihood to support AI-using nonprofits:

30% of high donors are more likely to support AI-utilizing nonprofits.
19% for medium donors, and 13% for small donors.

Targeting AI integration towards more generous donors can yield better fundraising results.

Overcoming Challenges and Maximizing AI Benefits

Building AI Literacy

To bridge the education gap, nonprofits should invest in AI training programs. Enhancing AI literacy can empower staff to leverage AI tools effectively, leading to improved operational efficiency and strategic decision-making.

Developing Robust AI Policies

Creating comprehensive AI policies is essential to address concerns related to data privacy, security, and ethical AI usage. Establishing guidelines ensures that AI implementation aligns with the organization’s values and compliance standards.

Enhancing Donor Trust

Transparency in AI usage can help mitigate donor concerns. By openly communicating how AI tools are used to enhance donor engagement and ensure data security, nonprofits can build and maintain donor trust.

Leveraging AI for Strategic Growth

Nonprofits should explore concrete applications of AI beyond content generation. Utilizing predictive analytics for donor prospecting and real-time fundraising intelligence can significantly enhance fundraising strategies and outcomes.

Conclusion

The nonprofit AI marketing statistics for 2025 reveal a landscape ripe with opportunities and challenges. While there’s a strong recognition of AI’s potential benefits, nonprofits must address educational gaps, develop robust policies, and build donor trust to fully harness AI’s capabilities. By strategically integrating AI into marketing and fundraising efforts, nonprofits can enhance their operational efficiency, engage donors more effectively, and ultimately drive greater impact.

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