Authors: Arockiasamy Selvanayagam, Ramkumar N, Vikkraman P
Abstract: Artificial Intelligence (AI) is rapidly transforming the nature of work, reshaping how tasks are structured, managed, and experienced. Unlike previous waves of digital transformation that primarily supported automation or remote collaboration, AI introduces adaptive decision-making and cognitive capabilities that directly affect core job characteristics such as autonomy, task variety, and feedback. This paper explores how AI-enabled systems influence work design by bridging classical theories with emerging practices in human–computer collaboration. Using a technology-augmented methodology combining AI-driven text analytics, machine learning based survey analysis, and simulation modeling we examine the opportunities and risks of integrating AI into everyday work. Findings suggest that while AI can enhance task performance, learning opportunities, and collaboration, it also poses challenges related to autonomy, fairness, and employee well-being. The study contributes to the literature by providing a comprehensive framework for understanding AI-enabled work design and by offering practical implications for organizations seeking to balance human creativity with intelligent technologies.
DOI: http://doi.org/10.5281/zenodo.17249599
