"That's where many nonprofits are with AI today. Most still layer it on top of existing processes, not because they don't care about innovation, but because they lack both the frameworks to identify the right use cases and the capacity to act on them. True innovation starts when organizations have the space, skills, and confidence to reimagine how impact itself is delivered in an AI-native way."
"By AI-native, I mean rethinking how we solve problems with AI from the get-go, so impact becomes ultra-personalized, timely, scalable, and radically more effective. This is while humans focus on empathy, trust, and complex judgment. AI isn't just a tool. It becomes part of the social impact's operating system. THE FUNDING GAP IS STRUCTURAL, NOT TECHNICAL Fast Forward-the U.S.-based organization focused on"
Early adopters of film initially recorded theater before reinventing cinema; similarly, many nonprofits currently overlay AI onto existing processes instead of reimagining service delivery. Most nonprofits lack frameworks and operational capacity to pursue AI-native solutions that make impact ultra-personalized, timely, scalable, and more effective while preserving human roles of empathy, trust, and complex judgment. Funding, not purely technical constraints, currently limits scaling: Fast Forward data shows AI-powered nonprofits are emerging but face higher expenses, and 84% report needing additional funding to develop and scale. Philanthropic funders are beginning to seed AI capacity in the social sector.
Read at Fast Company
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