Analyzing the Impact of Ai on Employee Productivity in Telecommunication Sector of Pakistan: Mediating Role of Recruitment and Talent Management Practice

Abstract

Among the first to embrace artificial intelligence was Pakistan's telecoms industry. AI-powered technologies are already helping many businesses increase operational efficiency and customer service quality. This research looks at how employing artificial intelligence alters employee productivity by means of recruiting and management as a prism. Participating in the quantitative research were three hundred individuals from various Pakistani mobile providers. The data was examined and the proposed connections tested using descriptive statistics, correlation analysis, and regression analysis. The findings reveal a high positive correlation between implementing artificial intelligence and employee production, therefore indicating how revolutionary AI technology may be for increasing worker productivity. Furthermore, revealed was how acquiring and managing talent functioned as a go-between for the relationship between artificial intelligence application and staff production. This emphasizes how crucial it is to have well-considered human resource strategies if one wants to maximise artificial intelligence ambitions. Some issues were raised, however, including the fact that the research was cross-sectional, the self-reported data may be biassed, and the small sample size. Notwithstanding these challenges, the report effectively illustrates how artificial intelligence is being used and what this implies for HRM in Pakistan's telecom company. In the digital era, telecommunications firms must invest money on artificial intelligence technologies and better how they recruit and treat staff if they are to remain ahead of the competitors. This will enable the employees to do their tasks more effectively. Future research in this field should be focused on continuous studies, cross-industry comparisons, qualitative investigations, and ethical problem finding out underlines. Scholars filling up these knowledge gaps will enable telecoms firms to negotiate the challenges of using artificial intelligence and maximize its benefits in terms of output and general corporate performance.