Published Paper Details:

Artificial Intelligence and Automation are dramatically reshaping the activities of a world of business and work. While greater productivity from these systems is reflected on one side, job and skill mismatch is seen on the flip side. This investigates the ways in which AI and automation influence labor dynamics in similar industries and how reskilling and upskilling mechanisms can assist workers. Primary data collection for this research took place using an online survey among workers in the manufacturing, healthcare, and service industries as well as human resource practitioners and industry experts, making use of quantitative methods for data analysis. The statistical content analysis was employed making use of SPSS software encompassing test for reliability, demographic analysis, ANOVA, and regression models. The ANOVA assessed sector-level differences in job creation, skill transitions, employee adaptation, employee productivity, respectively, while regression tests assessed how things like support for employees and in training program effectiveness influenced participation of employees. The conclusions drawn offer encouraging news about the changing shape of labor markets, increasing productivity, and labor market polarization and the role that AI and Automation will play in this. Strong reskilling and organizational support programs are huge incentives in making the most out of these changes.