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

Call for Paper Volume 7, Issue 4 (July-August 2025) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

The Role of AI in Personalizing Development Paths: Implications for Reskilling, Upskilling and Employee Engagement in IT

Author(s) Ms. Akshaya Meenakshi S, Dr. P Thirumoorthi
Country India
Abstract This research delves into the prospect of Artificial Intelligence (AI) in reshaping employee development in the Information Technology (IT) industry with personalized learning paths. With the IT environment evolving at a breakneck speed, ongoing reskilling and upskilling have become the imperative of the hour. This research examines the effectiveness of AI-powered platforms in assessing personal skill gaps and learning trends to create tailored development plans, hence fostering a culture of lifelong learning. With adaptive learning experiences and personalized feedback, AI has the potential to boost employee participation and engagement, resulting in better knowledge retention and skill acquisition. Besides, this research discusses the ethical implications and potential limitations of leveraging AI in employee development, such as data privacy issues, algorithmic bias, and implications for conventional training methodologies. Following a mixed-methods approach, this research aims to provide practical guidelines on how IT organizations can leverage AI to enable their employees, bridge skill gaps, and cultivate a highly engaged and resilient talent pool to face the challenges of accelerated technology evolution.
Keywords Artificial Intelligence, Employee Motivation, Employee Engagement, IT Industry, Reskilling, Upskilling
Field Business Administration
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-07-16
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.50438
Short DOI https://doi.org/g9tz2x

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