Using the 70/30 Rule: AI in the Nonprofit Sector
Over the past year, I've spent a lot of time exploring how artificial intelligence (AI) can help nonprofits work more efficiently without losing the human connection that is at the heart of our missions. While AI often feels like a buzzword or something designed for large corporations, I believe it has become a practical tool that nonprofits of all sizes can leverage to maximize limited resources and increase their impact.
Most nonprofit leaders are asked to do more with less. Limited budgets, small teams, and growing community needs create constant pressure. AI won't solve every challenge, but it can help us reclaim valuable time by handling routine tasks so we can focus on the work that truly requires human judgment, creativity and compassion.
Fundraising & Grant Writing
One of the most immediate benefits I've seen is in fundraising and grant writing. Many development professionals spend countless hours researching funders, drafting proposals and communicating with donors. AI can help create first drafts of grant applications, donor communications, impact reports and stewardship materials.
The key is remembering that AI should never replace the expertise and passion of the fundraiser. Instead, it can eliminate the frustration of starting with a blank page. When used correctly, AI provides a strong starting point that staff can personalize and refine.
AI can also help nonprofits better understand donor behavior. By analyzing giving patterns and segmenting donor lists, organizations can create more targeted outreach efforts that strengthen relationships and improve donor retention.
Marketing & Communications
Small nonprofit communications teams are increasingly finding ways to compete with organizations that have much larger budgets. AI tools can assist with social media content, blog posts, newsletters, event promotions and marketing campaigns.
I have also found speech-to-text tools to be incredibly helpful. Meeting notes, interviews, webinars and presentations can be quickly transcribed and repurposed into multiple forms of content. Rather than spending hours documenting conversations, staff can focus on building relationships and sharing stories that demonstrate impact.
Data & Decision-Making
Many organizations collect a tremendous amount of data but struggle to fully utilize it. AI can help identify trends, forecast outcomes and support strategic planning efforts.
Instead of spending hours manually sorting through spreadsheets, staff can use AI to uncover insights that inform program decisions, fundraising strategies and operational planning. Administrative tasks such as scheduling, reporting and data entry can also be automated, allowing teams to dedicate more time to mission-focused work.
Expanding Mission Impact
Some of the most exciting uses of AI are happening within nonprofit programs themselves. Organizations focused on climate change are using AI and satellite imagery to track environmental conditions and emissions. Agricultural programs are providing farmers with real-time recommendations that improve productivity and sustainability.
Humanitarian organizations are also leveraging AI to anticipate crises, identify emerging needs, and allocate resources more effectively. These applications demonstrate that AI is more than an administrative tool—it can directly support mission outcomes.
The 70/30 Rule: A Practical Approach
As nonprofits adopt AI, I believe it is important to establish clear boundaries. One framework that resonates with me is the "70/30 Rule."
The idea is simple: let AI handle approximately 70 percent of repetitive, administrative and preparatory work while people remain responsible for the remaining 30 percent that requires judgment, empathy, relationship-building, ethical decision-making and strategic thinking.
For example, AI can draft a grant proposal, but a development professional should review and personalize it. AI can generate donor communications, but staff should ensure the message reflects the organization's voice and values. AI can summarize a board meeting, but leaders should determine priorities and next steps.
In my experience, the best outcomes occur when AI serves as an assistant rather than a decision-maker.
Final Thoughts
I don't see AI as a replacement for nonprofit professionals. Rather, I see it as a tool that can help us become more effective and efficient. The organizations that will thrive in the future are those that embrace innovation while remaining grounded in the relationships, empathy and trust that define our work.
At the end of the day, AI can help us work smarter. But people—their experiences, compassion and commitment to service—will always remain at the center of meaningful social change.
Additional Resources
AI and Grant Writing
Responsible and Ethical AI
AI for Climate and Social Impact
Research and Thought Leadership
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