Every major wave of digital transformation changes more than just how work gets done. It changes where resilience lives—organizationally, and across broader society.

That is what makes this AI moment different for the social impact sector, and why the discussion needs to move beyond productivity.

Social impact is not adjacent to the economy. It is part of the operating environment that makes the economy possible. It helps keep communities functioning, workforces supported, and institutions responsive under pressure. In the United States alone, nonprofits accounted for 12.8 million jobs, or 9.9% of all private-sector employment in 2022. In 2023, it was a $1.4 trillion contribution to the economy.

Social impact is a stabilization layer. When that layer is strong, talent develops, communities recover faster, and innovation has the conditions it needs to compound. When that layer is weak, strain moves quickly through everything connected to it—employment, public health, education, long-term economic confidence, and disaster response.

AI now sits directly in that equation.

Adoption outpaces readiness

AI has already changed the social impact sector. But will AI make this layer of society more coherent, capable, and trusted—or more fragmented, uneven, and fragile? That is the test.

And right now, the early signals are mixed.

Our latest research from the Blackbaud Institute shows the sector has moved well beyond curiosity. Eighty-five percent of social impact professionals report using AI at work. But only about 33% believe their organization is using it very effectively. And just 10% have moved into what the research defines as the most mature tier—organizations that have gone beyond experimentation to systemic, governed AI use.

That gap matters because adoption alone does not create durability.

THE NEW DIVIDE

In every market, there is a point when access to a technology stops being the differentiator. What matters, then, is whether organizations can operationalize it—inside real workflows, with real governance, and with enough context to produce outcomes people are willing to trust. That is as true in social impact as it is anywhere.

In some ways, it matters more here, because the cost of getting it wrong affects donor confidence, service delivery, and institutional legitimacy.

The emerging divide is between organizations that are building AI maturity and organizations that are accumulating disconnected experiments.

That is a very different problem than whether organizations are using AI.

EFFICIENCY INTO ADVANTAGE

Teams are saving time. Our research shows the average organization is saving $500 per employee per week through AI use, and the most mature organizations are saving $621.

But what happens next? The highest-maturity organizations are reinvesting those gains into activities that strengthen revenue, deepen engagement, and improve mission delivery. In other words, they are turning efficiency into compounding advantage.

That is the shift that matters—from activity to execution, from insight to action, from experimentation to durability. It is also why education has become infrastructure.

The limiting factor in the next phase of AI adoption will be whether organizations have the knowledge, standards, and confidence to use AI responsibly inside environments where trust carries real weight. That is the underlying logic behind the AI Coalition for Social Impact and the certification effort that follows from it.

That work matters because this is a system-readiness issue.

Organizations need a clearer baseline for how AI should be evaluated, where it belongs in decision-making, how transparency should work, and what responsible use looks like across teams and institutions. Without that coherence, the sector will continue to see high activity and uneven outcomes. With it, AI can strengthen the capability and resilience of one of the most important systems in society.

That is why this moment deserves to be framed correctly.

THE REAL STAKES

AI is a way to automate the social sector. It is also a force multiplier that will either reinforce the sector’s ability to stabilize society, or widen the cracks in a system already operating under pressure.

The next era will belong to the organizations that can combine data, context, governance, and trust into execution they can stand behind. That is the real leadership standard now.

And for a sector that helps hold everything else together, the stakes could not be higher.

Mike Gianoni is president, CEO, and vice chairman of the board of directors of Blackbaud.