With the unveiling of Apple’s new “Apple Intelligence” system along with the explosive interest in artificial intelligence among all industry sectors, I thought our nonprofit clients and friends would benefit from an informal assessment of AI’s impact on the nonprofit sector. I interviewed an AI industry expert to put into lay terms the main issues of interest.

What is the potential for artificial intelligence for donor management?

AI has significant potential for donor management by optimizing donor identification, automating communication, predicting donation patterns, and personalizing engagement strategies. This leads to increased efficiency, improved donor retention, and higher donation rates, ultimately enhancing fundraising efforts and ensuring sustainable support for organizations.

What is the difference between generative AI and predictive AI?

Generative AI creates new content or data, such as text, images, or music, based on learned patterns. Predictive AI, on the other hand, forecasts future outcomes by analyzing historical data and identifying trends. While generative AI focuses on creation, predictive AI focuses on anticipation and forecasting.

Would predictive AI be useful in analyzing and forecasting charitable donation trends?

Yes, predictive AI is highly useful for analyzing and forecasting charitable donation trends. It can identify patterns in donor behavior, anticipate future donations, optimize fundraising strategies, and improve donor retention, thereby enhancing overall fundraising effectiveness and ensuring more reliable financial planning for charitable organizations.

What are the pros and cons of using artificial intelligence in nonprofit operations?


  1. Efficiency: Automates administrative tasks, freeing up staff for mission-critical activities.
  2. Personalization: Tailors communication and engagement strategies to individual donors.
  3. Data Analysis: Enhances decision-making through robust data insights and trend predictions.
  4. Fundraising: Optimizes donor management, leading to increased donations and retention.
  5. Resource Allocation: Improves resource distribution by identifying the most impactful initiatives.
  6. Extend Limited Staff Capabilities: Can help develop content for grant applications and other writing needs, particularly in the communications realm.


  1. Cost: High initial investment in AI technology and training.
  2. Data Privacy: Risks related to handling sensitive donor information.
  3. Complexity: Requires expertise to implement and manage AI systems effectively.
  4. Bias: Potential for inherent biases in AI algorithms to affect decisions.
  5. Dependence: Over-reliance on AI might reduce human judgment and empathy in operations.

Is there current data to prove the efficiencies of AI?

Yes, current data indicate AI enhances efficiencies in various sectors, including nonprofits. Studies show AI-driven automation reduces administrative costs by up to 30%, and personalized donor engagement can increase donations by 20-30%, demonstrating significant operational and fundraising improvements. (See more here.)

Would you recommend an investment in AI for a medium-sized nonprofit?

Yes, investing in AI can be beneficial for a medium-sized nonprofit. It enhances efficiency, optimizes donor engagement, and improves fundraising strategies. However, consider costs, data privacy, and the need for expertise. Properly implemented, AI can significantly boost operational effectiveness and mission impact.

Our thanks to the interviewee of this article, ChatGPT. All content by ChatGPT.

Time in research and content: 10 minutes

Time if I did my own research and writing: Ask ChatGPT.