Study Finds AI Can Write Fundraising Appeals Nearly as Well as Humans

Why It Matters

The findings indicate that generative AI can reliably produce persuasive donor communications, offering financially constrained charities a way to maintain fundraising effectiveness while reducing reliance on costly agencies. This could reshape nonprofit marketing strategies and resource allocation across the sector.

Key Takeaways

• AI matches human appeals in empathy, donation intent, and quality
• AI-generated guilt messages trigger stronger guilt feelings than human versions
• Study used 498 U.S. participants via Prolific, testing Claude, Copilot, Gemini
• Findings suggest low‑cost AI tools for underfunded nonprofits
• Ethical concerns arise when AI crafts emotionally sensitive fundraising content

Pulse Analysis

The nonprofit sector is increasingly turning to generative AI to streamline donor outreach, and the Clemson University study provides the first large‑scale evidence that these tools can match human writers in key persuasion metrics. By recruiting 498 U.S. respondents through the Prolific platform, researchers compared appeals produced by three leading large language models—Claude, Copilot and Gemini—with those authored by seasoned communication professionals. Across empathy‑focused messages, AI and humans generated virtually identical emotional responses, while AI‑driven guilt appeals actually heightened feelings of moral responsibility more than human versions. These nuanced outcomes suggest AI can replicate, and in some cases exceed, the emotional framing traditionally reserved for human copywriters.

For charities operating on thin margins, the practical implications are significant. AI‑generated copy can be produced at scale, reducing the need for expensive agency contracts or full‑time copywriters. Empathy‑based appeals, which the study found to be more effective at fostering long‑term issue engagement, can now be crafted quickly to support sustained campaigns. Meanwhile, guilt‑laden messages—useful for urgent fundraising drives—can be fine‑tuned by AI to maximize immediate donation intent without sacrificing perceived quality. This dual capability enables nonprofits to allocate staff time toward relationship building and program delivery rather than repetitive content creation.

However, the adoption of AI in emotionally charged fundraising raises ethical questions. Donors may react negatively if they discover a machine crafted a plea that touches on personal hardship or poverty, potentially eroding trust. The study’s participants were unaware of the content source, highlighting the importance of transparency and source‑bias mitigation. Future research should explore audience detection of AI‑generated text and the long‑term impact on donor loyalty. As AI continues to evolve, nonprofit leaders must balance cost efficiencies with responsible communication practices to maintain credibility while leveraging technology’s persuasive power.