Author(s): Kirthana Nimmala, Ramana Erakandra
This study examines the impact of disruptive technologies on evolving work practices and their effects on employee experiences and outcomes in the manufacturing sector. Through an extensive literature review, existing academic research on AI’s influence on manufacturing work practices was analyzed. Additionally, a quantitative survey of 55 employees was conducted to gather insights into their perspectives on AI-driven changes in the workplace. The survey identified key trends, patterns, and themes at the intersection of AI, work practices, and employee experiences. The findings indicate that AI-driven automation enhances collaboration between humans and machines on the shop floor while enabling employees to engage in more complex, intellectually stimulating tasks, thereby improving job satisfaction. Furthermore, continuous workforce up skilling and a culture of lifelong learning emerge as crucial for maintaining employee motivation and engagement amid AI-driven transformations. This research provides practical recommendations for managers to integrate AI effectively, ensuring a seamless transition in work practices. These recommendations aim to enhance employee experiences, promote effective human-machine collaboration, and build a motivated workforce aligned with the principles of Industry 4.0.