International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Artificial Intelligence in Human Resources: Transforming Talent Management and Workforce Efficiency

Author(s) Sarvesh Komajwar
Country India
Abstract The integration of Artificial Intelligence (AI) into Human Resources (HR) is revolutionizing talent management, operational efficiency, and employee experiences. This paper examines the rapid growth of AI in the HR market, projected to expand from $6.05 billion in 2024 to $14.08 billion by 2029, at a 19.1% compound annual growth rate (CAGR). This growth reflects the increasing adoption of AI-driven tools in recruitment, employee engagement, performance management, and workforce planning. AI automates repetitive tasks, enhances decision-making, and delivers personalized employee experiences, such as resume screening, turnover prediction, and tailored learning programs, enabling HR professionals to focus on strategic initiatives.
Generative AI (GenAI) is driving innovation by creating dynamic job descriptions, automating content, and powering chatbots for employee support. It addresses challenges like workforce upskilling, diversity, inclusion, and ethical AI implementation. Supported by case studies and industry insights, the research emphasizes fostering AI literacy, ensuring transparency, and adopting a phased approach to AI implementation. By leveraging AI, organizations can build agile, data-driven, and employee-centric workplaces. Strategic recommendations include investing in AI training, collaborating with technology partners, and prioritizing ethical practices.
Ultimately, AI in HR is about reimagining the future of work to benefit both employees and organizations.
Keywords AI-driven recruitment, Employee engagement, Ethical AI, Future of work, HR technology, Talent management, Generative AI (GenAI)
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-21
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.39595
Short DOI https://doi.org/g89v7r
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