AI Expansion Metrics and Gender Digital Divide (GDD) for Women at work: A Chi - Square based Analysis

Abstract

The study explores how specific Artificial Intelligence (AI) expansion metrics contribute to the reinforcement of the Gender Digital Divide (GDD) in the workplace, particularly affecting women. Using a mixed-method approach, it first used systematic literature review which revealed four major AI metrics—Speed of AI, Complexity of AI Systems, Frequency of AI Upgrades, and Volume of New AI Tools and empirically examined their association with factors reinforcing GDD such as pressure to adapt, difficulty in coping, emotional exhaustion, and feelings of left behind. Chi-square analysis on more than 1000 responses from IT professionals not restricted to any gender in Nagpur revealed statistically significant associations for specific metric-antecedent pairs. The findings were used to construct a conceptual framework to offer both theoretical enrichment and practical implications for businesses, which significantly contributes to SDG 5.