"A report by J.P. Morgan estimates that corporations can save billions of dollars a year by employing fewer people through automation. And, in fact, a 2025 study out of Stanford University has found that AI is already "beginning to have a significant and disproportionate impact on entry-level workers in the American labor market," with workers between the ages of 22 and 25 in the most AI-exposed occupations experiencing a 13 percent decline in employment."
"Yet while replacing entry-level workers with AI can boost profits in the short term, it will ultimately drain the talent pool and create real vulnerabilities over the long haul. By automating the "apprentice" stage of work-the time when young workers learn how to make low-cost mistakes, gain guidance from experienced mentors, and practice thoughtful business judgment-companies risk creating a lost generation of knowledge workers who are technically employed but unprepared to lead."
AI can perform many entry-level tasks at far lower cost than hiring and training young professionals. A J.P. Morgan report estimates corporations can save billions annually by automating roles. A 2025 Stanford study found AI is already beginning to have a significant and disproportionate impact on entry-level workers, with 22-to-25-year-olds in the most AI-exposed occupations experiencing a 13 percent employment decline. Automating the apprentice stage removes opportunities to make low-cost mistakes, receive mentorship, and practice business judgment, risking a generation of workers who are technically employed but unprepared to lead. Collective automation could produce a long-term national talent deficit and threaten organizational sustainability and competitiveness.
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