AI-Enabled Learning and Development Systems and Their Impact on Employee Skill Development

The rapid integration of Artificial Intelligence (AI) in organizational learning and development (L&D) has
fundamentally transformed how employees acquire and refine their professional skills. This study investigates the
impact of AI-enabled L&D systems on employee skill development within the Indian Information Technology (IT)
sector. Seven independent variables—Personalization of Learning Content, AI-Based Skill Gap Analysis, Adaptive
Learning Technologies, Accessibility of Learning Platforms, Real-Time Feedback Mechanisms, Integration of AI
Tools in Training Programs, and Employee Engagement through AI Systems—were examined in relation to the
dependent variable of Employee Skill Development.
A descriptive research design was adopted, and primary data were collected from 350 employees across IT companies
using a structured questionnaire based on a five-point Likert scale. Stratified random sampling was employed to ensure
representation across organizational levels and departments. Statistical tools including descriptive analysis, Pearson
correlation, and multiple regression analysis were applied using SPSS and SmartPLS.
The findings reveal that all seven AI-based variables positively and significantly influence employee skill
development. Employee Engagement through AI Systems emerged as the strongest predictor (β = 0.371), followed by
Real-Time Feedback Mechanisms and Integration of AI Tools. The regression model explains 92.4% of variance in
skill development, indicating high explanatory power. The study provides strategic implications for HR managers and
organizational leaders to invest in AI-driven L&D frameworks.