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
Fields of Study & Subjects
Personal Information Management and User Behavior
Robotic Process Automation Applications
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Journal of Applied Organizational Systems and Behavior
- Publisher
- Polaris
- Volume
- 6
- Issue
- 1
- Pages
- 47–56
- Publication date
- 1 January 2026