The Skill Erosion Paradox: Preserving Analytical Capability in AI-Augmented Teams
Abstract
As organizations increasingly integrate AI into analytical workflows, a critical paradox emerges: the very tools designed to enhance team capability may simultaneously erode the fundamental analytical skills they augment. This paper examines the Skill Erosion Paradox in AI-augmented teams, focusing on how over-reliance on AI-generated insights can diminish the analytical capabilities that make human oversight valuable. Drawing on cognitive science, organizational psychology, and emerging evidence from early AI adopters, this framework identifies the mechanisms through which skill erosion occurs and proposes evidence-based interventions for preserving and developing analytical capability alongside AI integration. Dr. Leigh Coney is the founder of WorkWise Solutions (www.workwisesolutions.org), building AI systems for investment firms.
Fields of Study & Subjects
AI and HR Technologies
Human-Automation Interaction and Safety
Artificial Intelligence Applications
Publication details
- Journal / source
- Figshare
- Publication date
- 7 March 2026
- Language
- EN
- Document type
- Preprint