For years, Catchafire has been building toward a single goal: making sure that the organizations doing the most vital work in our communities have access to the talent and expertise they need to fulfill their missions. We've built the largest virtual platform for nonprofits to match with skills-based volunteers, closing staffing and skill gaps for more than 15,000 small nonprofits. Today, hundreds of grantmakers "go beyond the grant" using our platform, while Fortune 1000 companies channel their workforces into high-impact volunteering — ensuring human connection remains at the heart of the modern workplace.
But as we move deeper into the age of artificial intelligence, we're seeing a shift in what's possible for these organizations — and a corresponding shift in what they need from us.
For decades, the nonprofit sector has been trapped in a narrative of "doing more with less." We see it every day:
64% of nonprofits have four or fewer employees. These aren't organizations that need slightly better tools. They need a fundamentally different kind of support.
Even traditional skills-based volunteering, while impactful, has often been a series of snapshots — time-bound projects that solve an immediate need but don't necessarily shift an organization's trajectory. The result is a persistent gap: those doing the most important work often have the least access to sustained, high-level support.
And while the nonprofit sector has adapted in remarkable ways, many of the systems designed to support nonprofits have reinforced the same underlying challenge: scarcity.
Artificial intelligence introduces a fundamental shift in the economics of how support reaches these organizations. For the first time, it is financially viable to extend sophisticated operational capacity — not just one-off tasks — to organizations of every size and budget.
AI changes the math by providing a "Version 0.1" for almost anything — strategies, communications, graphics, data analysis — instantly. It bridges the daunting gap between a blank page and a finished product.
AI can generate content. It can suggest ideas. It can accelerate production. But it cannot replace judgment, context, or experience.
A small nonprofit using AI to draft a fundraising strategy may receive a polished output — but still be left uncertain about whether it's actually right for them. The strategy might be technically sound but miss the dynamics of their specific donor community. It might be exactly on target, but the executive director doesn't have the pattern recognition to know that — and so it sits in a folder, never implemented. Or it might generate three plausible directions with no basis for choosing among them.
Without the expertise to guide it, AI can produce outputs that look professional but don't connect to the organization's real situation. And without AI, that same expertise remains scarce and expensive.
A three-person nonprofit doesn't need AI to work harder. They need someone who can look at what AI produces and say: this part is strong, this part misses your context, here's what to prioritize first. Someone who connects broader professional experience with the organization's local reality.
This is where Catchafire's model — connecting nonprofits with skilled volunteers who bring real expertise — becomes more valuable, not less. The volunteer's role is evolving. Instead of starting from a blank page, they arrive at an AI-generated first draft and bring the judgment that turns a generic output into something the organization can actually use.
At Catchafire, we're already seeing what this looks like in practice:
In each case, the volunteer doesn't start from scratch. They start from something substantial and add what AI can't: the professional judgment and human understanding that makes the work land.
The combination of AI and human expertise doesn't just make individual projects faster. It begins to change the kind of support that's economically feasible for small nonprofits to receive.
When a volunteer's hour goes three to five times further — because they're refining and guiding rather than building from scratch — the math shifts for every funder investing in nonprofit capacity. The same investment reaches more organizations, more deeply.
And for volunteers, the work becomes more engaging, not less. Reviewing and shaping AI-generated strategy is closer to the kind of high-level contribution that draws skilled professionals to pro bono work in the first place. Along the way, those volunteers become financial donors, board members, and long-term advocates for the organizations they support.
Nonprofits face scarcity not because they lack ambition or talent, but because no one has built the infrastructure to deliver sustained operational capability to organizations that can't afford to buy it on the open market. That's the gap Catchafire has always worked to close — and AI gives us a powerful new way to close it.
The future of the social sector isn't just about better tools or more volunteers. It's about bringing both together so that the organizations carrying our most important missions have what they need to fulfill them.