Impact of AI Infused Leadership on Subordinate Employee’s Job Satisfaction: A Study Across Select Successful IT Companies in Bengaluru City

The objective of this study was to experimentally examine the nature and significance of AI-infused leadership and its impact on subordinate employee job satisfaction in information technology projects. The present study employs an exploratory research design and utilizes a quantitative data methodology. An intricately designed questionnaire was devised to gather the data.To determine the sample size, the Cochran Formula is used, using a known population, a 95% confidence level, and a 5% margin of error. The calculated sample size is 100 respondents. Only entry and middle level employees from the top 10 IT companies in Bangalore city, based on market capitalization, are included. Specifically, we evaluate 10 individuals from each organization who have been involved in successful projects. The study's sample is obtained by easy sampling. The questionnaire's reliability and validity were assessed using the Gaskins’ master validity instrument, and it was confirmed. Data analysis in the study was conducted using SPSS Version 22 and AMOS Version 22 software. The incorporation of AI abilities in a leader's repertoire results in a significant 75% improvement in work satisfaction. Successful projects are characterized by leaders that provide ample AI-infused support to their subordinates, resulting in work satisfaction. Hence, enhancing the AI-integrated abilities of a leader is vital for the effective execution of initiatives. Moreover, the utilization of AI in leadership positions amplifies decision-making aptitude and streamlines procedures, hence augmenting efficiency and productivity. By using AI technology, leaders can effectively assess a larger volume of information and make decisions based on data, leading to improved results for both the team and the enterprise.