Assessing the Relationship Between Perceived Usefulness of AI, Job Displacement Fears, and Work-place happiness

With the increasing integration of Artificial Intelligence (AI) across industries, concerns have arisen regarding its implications for employment and workplace dynamics. This study investigates the relationship between the perceived usefulness of AI, fears of job displacement, and overall workplace happiness. Drawing data from 165 professionals working in AI-integrated environments, the study employs Pearson’s correlation and multiple regression analysis to evaluate how AI perception affects job satisfaction.The findings indicate that while employees acknowledge AI’s potential in improving efficiency and reducing workload, its adoption also generates concerns related to job security and role redundancy. Interestingly, the direct impact of AI-related factors on overall job satisfaction was found to be minimal, suggesting that other organizational elements play a more significant role in employee well-being. The study highlights the need for proactive organizational strategies—such as ethical AI implementation, employee upskilling, and transparent communication—to foster a balanced and supportive AI adoption culture.This research contributes to a deeper understanding of how employees perceive AI within workplace settings and provides practical recommendations for managing its integration to promote both productivity and workforce stability.