For the U.S. nonprofit sector, the overall job forecast is decidedly encouraging: Emerging technologies such as machine learning and AI will end up creating more jobs than they eliminate over the next five years, according to new research by ServiceNow and workforce data experts Pearson.
But not all nonprofit jobs, which account for almost 10% of the U.S. workforce, will benefit equally in the AI era. Similar to their for-profit counterparts, nonprofit roles built around rote, manual tasks are likely to decline precipitously, the new research shows.
Nonprofit business leaders are facing an unprecedented opportunity to reskill large swaths of their nonspecialized workforces that, despite the disruption posed by AI and other technologies, represent a wealth of domain-specific skills, institutional knowledge, and productive relationships within their organizations.
“We have this once-in-a-lifetime opportunity to remake nonprofit work,” says Beth Kanter, author of numerous books and research papers on nonprofit organization management and technology. Her most recent book, The Smart Nonprofit: Staying Human-Centered in an Automated World, examines the impact of AI on nonprofit organizations. “It’s not about replacing people with machines, or doing more work faster, but about getting back to being human-centric and serving our communities better.
“Nonprofits are a purpose industry, our jobs still give us a lot of meaning,” Kanter added in an interview to discuss the new research. “So how do we retain that in this whole reskilling, transformation, moving to more automation?”
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