Reskilled or Left Behind: The Hidden Inequality in AI Training

Abstract

ABSTRACT Artificial intelligence is rapidly changing what employees do, what skills organizations value, and how firms prepare their workforce for technological change. Yet an important issue is receiving much less attention: access to AI reskilling may not be equally distributed. Organizations may invest heavily in employees they expect to retain while providing fewer learning opportunities to temporary, contractual, outsourced, or otherwise peripheral workers. This research blog argues that AI may therefore create inequality not only through job displacement but also through unequal access to adaptation. As AI skills become increasingly valuable, employer decisions about who receives training may influence future wages, mobility, employability, and job security. The emerging challenge is not simply whether workers can adapt to AI, but whether organizations give different groups of workers equal opportunities to do so.