The AI Boom: What it Means for the Nonprofit World
By: Darwin Morales-Ortiz
Artificial intelligence (AI) is changing the way organizations across most industries operate – and nonprofits are no exception. As AI tools become more accessible, many nonprofits are finding ways to incorporate them into their work, from streamlining operations to enhancing communications. Now, with more than 80% of nonprofits reporting using AI to some degree, it’s important for organizations to understand both its potential and its limitations.
Ways AI Is Supporting Nonprofit Work
AI has the ability to build capacity. Platforms like ChatGPT can assist with tasks such as content creation, donor outreach and messaging. This support is especially valuable for organizations operating with limited budgets.
Nonprofits can also benefit from AI’s ability to assist with grant writing by reviewing guidelines, checking eligibility requirements and drafting materials. Additionally, it can help generate ideas for fundraising events, allowing organizations to have more time to focus on their mission-driven work. Tools like Google Gemini are examples of platforms already supporting nonprofits with these tasks.
Many organizations use AI for data analysis, including donor segmentation, streamlining reporting and automating data entry. According to Nonprofit Pro, 64% of nonprofits are “using AI to analyze end user data to understand their needs and pain points.”
The growing presence of AI is allowing organizations, especially smaller ones, to operate in a crowded sector, with DonorSearch reporting that 68% of nonprofits already use it for data analysis. By streamlining time-consuming tasks like content creation and data analysis, these tools help nonprofits work more effectively and focus on areas they consider most important. Access to this technology has the potential to create equal footing, allowing under-resourced nonprofits to compete with larger, better-funded organizations.
Challenges and Concerns Around AI Use
While AI can be a powerful tool, it also raises concerns around misinformation and credibility. According to the Columbia Journalism Review article, “AI Search Has A Citation Problem,” generative tools often provide users with inaccurate information since they don’t reject questions they are unable to answer. Further, these tools can sometimes fail to link back to original publishers or cite the wrong sources altogether. This not only contributes to the spread of misinformation, but it also has the potential to damage the reputation of the organizations relying on AI tools’ output.
Beyond potential accuracy issues, AI tools may fail to capture an organization’s voice or use language that aligns with its values. Without careful oversight, AI tools can create language that feels generic and disconnected from the people nonprofits work to serve. The lack of a human touch can lead to challenges for nonprofits hoping to communicate with communities in an authentic, personal way that builds trust.
Ethical considerations also come into play, from ensuring AI-generated content aligns with organizations’ missions and values to transparency regarding their use of AI. Despite these concerns, fewer than 10% of nonprofits have official policies around AI use, according to Nonprofit Quarterly. Establishing guidelines can help organizations implement AI into their work while preserving their integrity.
While some see AI as a tool for greater efficiency, broader reach and funding competitiveness, others believe it raises concerns around trust and authenticity–especially in a sector built on relationships. As this technology evolves, nonprofits will need to work intentionally and responsibly when using AI to ensure it doesn’t weaken their connection to the communities they serve.
Final Thoughts
AI offers nonprofits opportunities to increase capacity and streamline tasks. From content creation to grant writing, smaller teams can use these tools to develop efficiency. However, AI is not without limitations. Misinformation, lack of personalization and ethical considerations mean that AI-generated content requires consistent, careful vetting and editing to ensure content is always accurate and authentic. With technology and proper oversight, organizations can use AI to their advantage while staying true to their mission and values.