UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 10 | October 2026

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Volume 13 Issue 10
October-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2610005


Registration ID:
586610

Page Number

a38-a45

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Title

AI-Driven Human Resource Management: Transforming Talent, Workplaces and Organizational Performance

Abstract

Artificial Intelligence (AI) is increasingly transforming Human Resource Management (HRM) by changing how organizations recruit, develop, support and manage their workforce. This paper examines the role of AI-driven HRM in transforming talent management, workplaces and organizational performance. Technologies such as machine learning, predictive analytics, natural language processing, generative AI and intelligent automation can support recruitment, talent identification, personalized learning, workforce analytics and employee services. These applications can reduce routine administrative activities while enabling HR professionals to focus more on strategic workforce decisions. The paper highlights that AI is also reshaping the workplace by encouraging new forms of human–AI collaboration. Organizations need to focus on job redesign, reskilling, upskilling and continuous learning rather than viewing AI only as a source of job displacement. AI-enabled employee assistants, personalized learning and automated HR support can improve employee experience, although excessive monitoring may create concerns about privacy and trust. At the same time, responsible AI adoption is essential because HR decisions directly affect employees' careers and opportunities. Issues of algorithmic bias, fairness, transparency, accountability, privacy and data governance require careful attention. Human oversight should remain central to high-impact HR decisions. The paper proposes a thematic framework connecting AI Technology, Intelligent HR Processes, Augmented Talent Management, Human–AI Collaborative Workplaces and Organizational Performance, supported by ethics, human oversight, data governance and AI literacy. The paper concludes that AI should complement rather than replace human capabilities. A human-centric approach can help organizations build more adaptive, inclusive, productive and future-ready workplaces while strengthening the strategic contribution of HRM.

Key Words

Artificial Intelligence, Human Resource Management, Talent Management, People Analytics, Human–AI Collaboration, AI Ethics, Organizational Performance.

Cite This Article

"AI-Driven Human Resource Management: Transforming Talent, Workplaces and Organizational Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 10, page no.a38-a45, October-2026, Available :http://www.jetir.org/papers/JETIR2610005.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AI-Driven Human Resource Management: Transforming Talent, Workplaces and Organizational Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 10, page no. ppa38-a45, October-2026, Available at : http://www.jetir.org/papers/JETIR2610005.pdf

Publication Details

Published Paper ID: JETIR2610005
Registration ID: 586610
Published In: Volume 13 | Issue 10 | Year October-2026
DOI (Digital Object Identifier):
Page No: a38-a45
Country: Anakapalle, Andhra Pradesh, India .
Area: Commerce
ISSN Number: 2349-5162
Publisher: IJ Publication


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