The Impact of Artificial Intelligence on Recruitment and Talent Acquisition: Challenges and Opportunities

Purpose: This study investigates the transformative impact of Artificial Intelligence (AI) on recruitment and talent acquisition, focusing on AI’s potential to enhance efficiency, reduce bias, and improve candidate experiences, while also addressing associated ethical, privacy, and technological challenges. Design/Methodology/Approach: The research employs a comprehensive review of existing literature and case studies to explore the opportunities and challenges presented by AI-driven recruitment processes . Findings: The analysis reveals that AI substantially improves recruitment efficiency and bias mitigation, contributing to more positive candidate experiences. However, it also highlights critical concerns related to ethical implications, data privacy, and the dangers of over-reliance on AI without adequate human oversight. Implications: These insights guide HR professionals and organizations in optimizing recruitment practices in an AI-driven environment. Originality: this research offers a nuanced perspective on AI integration in recruitment, emphasizing the interplay between technological innovation and ethical considerations—a timely contribution to HR technology scholarship.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-16
DOI
https://doi.org/10.5281/zenodo.16886449
Primary Topic
Primate Behavior and Ecology
Type
article
Field-Weighted Citation Impact
0.00
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article

The Impact of Artificial Intelligence on Recruitment and Talent Acquisition: Challenges and Opportunities

Zenodo (CERN European Organization for Nuclear Research)
Primate Behavior and Ecology
article

The Impact of Artificial Intelligence on Recruitment and Talent Acquisition: Challenges and Opportunities

article en

Abstract

Purpose: This study investigates the transformative impact of Artificial Intelligence (AI) on recruitment and talent acquisition, focusing on AI’s potential to enhance efficiency, reduce bias, and improve candidate experiences, while also addressing associated ethical, privacy, and technological challenges. Design/Methodology/Approach: The research employs a comprehensive review of existing literature and case studies to explore the opportunities and challenges presented by AI-driven recruitment processes . Findings: The analysis reveals that AI substantially improves recruitment efficiency and bias mitigation, contributing to more positive candidate experiences. However, it also highlights critical concerns related to ethical implications, data privacy, and the dangers of over-reliance on AI without adequate human oversight. Implications: These insights guide HR professionals and organizations in optimizing recruitment practices in an AI-driven environment. Originality: this research offers a nuanced perspective on AI integration in recruitment, emphasizing the interplay between technological innovation and ethical considerations—a timely contribution to HR technology scholarship.

Zenodo (CERN European Organization for Nuclear Research)
Jain University (IN), Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Avinashilingam University (IN), Avaya (Bermuda) (BM)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Primate Behavior and Ecology
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The Impact of Artificial Intelligence on Recruitment and Talent Acquisition: Challenges and Opportunities · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS