NonprofitNext

What Does “People First AI” Mean for Your Organization?

A group of 10 people sitting around a rectangular table that has a phone conference device sitting in the middle of it. A couple of people were wearing suits, but most people are in business casual clothing. They are listening attentively to a person sitting at the head of the table.

You have heard a lot about artificial intelligence over the past year or two as it has moved into the workplace. Some people are excited. Others are worried. Many are simply overwhelmed and unsure if and how it can be useful for them. In the nonprofit sector, those feelings come with additional questions about mission and ethics, the impact on staff, and the people you serve.

One of the greatest concerns about AI is that it will eliminate jobs and leave people scrambling to figure out what comes next. That concern is valid. But I believe the nonprofit sector is unique, and that fear may be somewhat overblown when it comes to the nature of the work we do.

Think about it this way. When is the last time you heard one of your employees say they just did not have enough to do? In every nonprofit organization I have worked with or been close to over the past 25 years, staff were always running in several directions at once, busy serving individuals and working in the community. Add in the time spent filling out timesheets, tracking grant hours, recording case notes in a database, and you get the picture. Most people in the nonprofit world will tell you there are simply not enough hours in the day. Further, much of the work done by nonprofit organizations requires a human centered approach. While we can implement automation and AI to handle many tasks, the reality is that much of what we do in the sector involves real human intervention, support, and connection. AI does not change that reality.

A People First approach to AI places our teams at the center of how we think about technology, and how the people we serve can benefit from it. It means the tools we use are chosen, implemented, and evaluated based on whether they genuinely support the humans doing the work and the people receiving services.

For executives and senior leaders, that looks like using AI to reduce administrative burden so your team spends more time on the work that matters. It means making decisions backed by better data and maintaining workloads that are sustainable enough to retain great people.

For frontline staff and program managers, it looks like getting help with first drafts of reports, case notes, and emails, so their judgment and relationships stay at the center of the work.

For board members, it means asking the right governance questions. Are we using technology in ways that reflect our values? Are we protecting the privacy of those we serve? Are we investing in training so our staff can use these tools confidently?

While AI presents real concerns that society continues to work through, I believe that failing to examine how it can transform our work means missing an opportunity to be more effective and impactful. Further, I believe that nonprofits are well positioned to initiate and lead conversations focusing on the social and economic impacts of AI on society. (More in future posts.) The organizations that will thrive are the ones that approach AI thoughtfully, not the ones that avoid it entirely.

People First AI is not about moving fast. It is about moving with intention. It means identifying opportunities where automation and AI can move your organization forward, developing a strategy so it compliments and supports your culture and the technology you are already using, bringing staff and board members into the conversation early, creating clear guidelines for how tools are used, and providing real training so nobody is left behind.