Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM.NCDTAIM005
Volume:
|
|
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Artificial Intelligence (AI) in talent management is a game-changer to Human Resource Management (HRM) as it alters the way organizations attract, retain, develop and engage employees and is one strategic factor in the 21st century. Talent management powered by AI can further advance recruitment and selection by automating resume screening, enhancing candidate-job fit, as well as minimizing bias, as well as automated on-boarding through AI chatbots and virtual assistants that customize integration. In learning and development, AI facilitates hyper-personalized training, reskilling and up-skilling programs that are aligned to both personal career aspiration and organizational objectives, and in performance management, real-time continuous analytics results in a more objective and productive performance review traditionally kept annual. The positive impact of workforce planning is associated with the ability to predict the skills that will be needed in the future, matching the human resource capital to the business plans. Future of work will focus on human-AI collaboration, where the automation will be human intelligence amplifier, creating agile, resilient and ethical workplaces. In that regard AI powered talent management becomes not only a driver of business performance and the answer to the question of how to create the workforce of the future but also an enabler of building the agile, future-ready workforce.
KEYWORDS
Publication Date
1/23/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
4
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...