Abstract: Recent research from the Stanford Digital Economy Lab reveals a 16% relative decline in employment for workers aged 22–25 in AI-exposed occupations, even as roles for experienced workers in those fields have remained stable or grown. This divergence raises urgent questions about how organizations build sustainable talent pipelines in an era of rapid technological change. Drawing on emerging empirical evidence and organizational case studies, this article examines the mechanisms behind early-career displacement, the long-term consequences for both organizations and individuals, and evidence-based responses that balance efficiency with workforce development. The analysis highlights how strategic investments in entry-level hiring—exemplified by organizations such as IBM—reflect deeper organizational values about human capital development and reveal critical choices about competitive advantage in knowledge-intensive industries.
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