THE “AI SATISFACTION GAP”: EXAMINING THE COGNITIVE AND EMOTIONAL COSTS OF PRODUCTIVITY GAINS

Abstract

Artificial intelligence (AI) tools are rapidly transforming knowledge work by increasing efficiency, accelerating task completion, and improving productivity. Despite these advantages, emerging evidence suggests that increased productivity does not necessarily translate into improved job satisfaction or psychological well-being. This study empirically examines the phenomenon referred to as the “AI Satisfaction Gap,” defined as the divergence between productivity gains derived from AI tools and the cognitive and emotional experiences of workers using these technologies. Using a cross-sectional survey design, data were collected from 210 knowledge workers who regularly use AI productivity tools. Descriptive statistics and regression analysis were used to examine relationships between AI use, productivity, cognitive load, and emotional well-being. The findings reveal that while AI significantly enhances perceived productivity, it also increases cognitive monitoring demands and emotional strain, contributing to moderate declines in overall job satisfaction. These results highlight the complex psychological implications of AI-augmented work environments and suggest the need for balanced AI integration strategies that consider human well-being alongside efficiency gains.