The Skill Erosion Paradox: Preserving Analytical Capability in AI-Augmented Teams

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Authors: Leigh Coney
Cited by: 0
References: 1

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