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 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.

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.

In every market, there is a point when access to a technology stops being the differentiator.

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