Artificial Intelligence in Human Resource Management: Transforming Talent Acquisition, Performance, and Retention

Authors

  • Dr.Faraz Ahmed Wajidi Associate Professor, Department Name: Department of Public Administration, University of Karachi Author
  • Muhammad Irfan Syed Department of Public Administration (DPA), University of Karachi Author
  • Syed Kamran Hyder Sherazi Lecturer Department of Public Administration, University of Kotli Azad Kashmir Author

DOI:

https://doi.org/10.63056/academia.5.2.2026.1509

Keywords:

Artificial Intelligence, Human Resource Management, Talent Acquisition, Performance Management, Employee Retention

Abstract

Talent acquisition, performance management, and employee retention have become areas that Artificial Intelligence (AI) can transform Human Resource Management (HRM). This paper explores the effects of AI implementation in the HR practice of organizations located in Islamabad, Pakistan, with the help of a quantitative research approach. Structured questionnaires were used to gather the data on 200 HR professionals and employees and these data were analyzed using descriptive statistics, correlation, and multiple regression. The results also suggest that AI can make the recruitment process much more efficient, optimize the accuracy of performance assessment, and reinforce retention plans using predictive analytics and personal interactions. Regardless of such issues as algorithmic bias and ethical concerns, the research proves that AI implementation leads to positive effects on organizational performance and strategic HR management. The findings offer applicable information to Hr practitioners who want to manage workforce using the emerging technologies in the best way possible.

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Published

2026-02-02

How to Cite

Wajidi, D. A. ., Syed, M. I. ., & Sherazi, S. K. H. . (2026). Artificial Intelligence in Human Resource Management: Transforming Talent Acquisition, Performance, and Retention. ACADEMIA International Journal for Social Sciences, 5(2), 45-56. https://doi.org/10.63056/academia.5.2.2026.1509