Expertise Erosion, Skill Dependency, and Tacit Knowledge Loss Inside Automated Workflows

Abstract

Automation promises faster and more scalable work, yet its consequences for human expertise remain unsettled. Systems that improve assisted performance can also reduce task participation, alter legitimate knowledge, intensify reliance, and narrow everyday learning opportunities. This Critical Review Article examines that expertise paradox by integrating evidence on tacit knowledge, skill dependency and deskilling, informal workplace learning, and conditions that may preserve expertise inside aut

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