Artificial intelligence (AI) can be traced back to World War II. The famous mathematician, Alan Turing, helped the Allied Forces crack the Nazi encryption machine. At the war’s end in 1945, Turing focused on computing machinery, famously positing whether “machines could think.” His writings laid the foundation for a future vision of artificial intelligence—the replication of human intelligence in machines.
AI is no longer an emerging technology—it’s part of everyday life. From AI assistants and personalized recommendations to customer service chatbots and productivity tools, AI is changing how people work, communicate, and make decisions.
Yet, some industries may not seem like an obvious fit for AI—particularly those built on personal relationships and human connections. However, even in development, where trust is at the heart of every donor relationship, AI can help simplify administrative tasks, uncover valuable insights, and free staff to spend more time engaging with constituents.
Here are some of the best ways to use artificial intelligence in fundraising.
Data Analysis
Nonprofits collect a wealth of data about their operations, donors, campaigns, and the people they serve. AI can analyze this information to identify patterns, trends, and insights that inform fundraising strategy and decision-making.
For example, AI can analyze donor data to identify giving patterns and engagement trends. These insights can help organizations personalize outreach, strengthen stewardship, and tailor fundraising campaigns.
Automation
AI automates time-consuming or repetitive tasks, freeing staff to focus on more impactful work. For example, organizations can use AI to automate routine administrative tasks, draft donor communications, summarize meeting notes, answer common donor questions, or help organize and analyze fundraising data.
- “Can you give me the bank transfer details? I can’t seem to find them.”
- “When did I make my last donation?”
- “I know I saw a date for the gala. When is it again?”
Using AI to handle these common requests reduces administrative work and allows development staff to focus on building relationships, cultivating donors, and advancing the organization’s mission.
Predictive Modeling
Another way AI benefits fundraising is by helping organizations anticipate future needs and trends. This allows nonprofits to be more proactive in planning and resource allocation.
For example, AI can help development teams prioritize outreach by analyzing donor data to identify prospective major donors, predict donor lapses, and highlight opportunities for stewardship. These insights can help shape how your team prioritizes its time and resources.
It’s important to note that while AI can be a powerful tool for nonprofits, it’s not a replacement for human judgment and decision-making. Organizations should use AI responsibly by protecting donor privacy, reviewing AI-generated content for accuracy, and recognizing that AI systems can reflect biases present in the data they were trained on.
When used thoughtfully, AI can improve efficiency and productivity, giving development professionals more time to focus on building meaningful donor relationships that strengthen engagement and support long-term fundraising success.