Impact of Artificial Intelligence (AI) and Automation on Job Satisfaction of teachers at University level

This study investigates the impact of artificial intelligence (AI) and automation on the job satisfaction of university teachers in the Sargodha division. The study was quantitative and descriptive and a cross-sectional survey was used to collect the data. Two standardized research instruments were utilized for this purpose. The sample of this study consisted of 300 university teachers selected through stratified random sampling techniques. Data were collected through Google Forms via email and WhatsApp. Mean, standard deviation, correlation, regression, and structural equation modeling were used to analyze the data. Results showed that satisfaction rate possesses certain trends of AI deployment in employment and various factors of AI technology have moderation effects on teachers’ satisfaction degree including teaching practice and academic specialization. The study contributes to the orientation of workplace satisfaction empowered by the implementation of artificial intelligence and automation in teaching staff, thus developing the guidelines for effective policymaking within the sphere among administrators of higher education institutions.