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International Journal of Research in Human Resource Management
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P-ISSN: 2663-3213, E-ISSN: 2663-3361, Impact Factor (RJIF): 6.16
International Journal of Research in Human Resource Management
Printed Journal   |   Refereed Journal   |   Peer Reviewed Journal
Peer Reviewed Journal

2025, Vol. 7, Issue 2, Part C

Exploring the role of AI and automation in human resource training: Opportunities and challenges

Raveendra K Wagh

The Artificial Intelligence (AI) and automation in Human Resource (HR) training is revolutionizing the conventional image of employee growth and company learning. This research dispels the mixed blessing of AI to HR training by looking at how intelligent systems and robotic platforms are improving the efficiency, accessibility, and customization of training. It talks about the basic principles of AI and automation and their real-world applications and the palpable advantages they present, i.e., increased efficiency, cost-effectiveness, and data-driven decision-making. The research also mentions organizational issues with respect to the adoption of AI-driven training solutions, such as data privacy issues, ethics, and digital preparedness among HR professionals. The creation of AI-driven learning platforms and the application of sophisticated data analytics are underscored for their roles in monitoring training results and forecasting the career advancement of workers. Additionally, the paper addresses the new role of HR professionals in an AI era and foresees emerging trends like adaptive learning, virtual coaching, and AI-driven performance management. By synthesizing all of this, the research gives a complete overview of the opportunities and challenges that AI and automation pose to the field of HR training.
Pages : 245-251 | 128 Views | 59 Downloads


International Journal of Research in Human Resource Management
How to cite this article:
Raveendra K Wagh. Exploring the role of AI and automation in human resource training: Opportunities and challenges. Int J Res Hum Resour Manage 2025;7(2):245-251. DOI: 10.33545/26633213.2025.v7.i2c.349
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