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@article{Kashif Lodhi_Dr. Atif khan_Gianfranco Rusconi_Sohail Ahmad (Corresponding Author)_2026, title={Artificial Intelligence and Its Impact on HRM Functions of Pakistani Textile Industry: A Qualitative Study}, volume={5}, url={https://www.assajournal.com/index.php/36/article/view/1352}, abstractNote={The purpose of this quantitative research is to explore role of artificial intelligence (AI) in Human Resource Management functions in Pakistani Textile Industry that plays a significant role to for the country’s economic development. The research addresses the central question: This research question tries to know the changes that may occur in the HRM functions in the context of the Pakistani Textile Industry due to the integration of artificial intelligence. Using both qualitative and quantitative instruments, the study measures the current state of AI integration, reviews the impact of AI on particular dimensions of HRM, and identifies witnessed advantages and drawbacks. The research is underpinned by two theoretical models namely Resource-Based View (RBV) and Technology Acceptance Model (TAM). In the realisation of these objectives, the study establishes a positive relationship between the use of AI and enhanced HRM results in areas such as recruitment, training and evaluation. But of course, issues like the problems caused by the algorithms and the workers’ loss of jobs due to AI app development appear. Implications for HRM textiles industry, suggested for future research and; ethical AI practice are the last points of the study. Keywords: Artificial Intelligence (AI), Human Resource Management, Pakistani Textile Industry, Economic, Development}, number={01}, journal={`}, author={Kashif Lodhi and Dr. Atif khan and Gianfranco Rusconi and Sohail Ahmad (Corresponding Author)}, year={2026}, month={Jan.}, pages={679–686} }