Hiring Tomorrow’s Talents: How Generative Artificial Intelligence Transforms Human Resources Recruitment

The global talent shortage has become a universal challenge, prompting practitioners and researchers to explore digital innovations as potential solutions for acquiring the right talents. However, the role of emerging technologies like generative artificial intelligence (AI) in human resources (HR) remains largely uncharted territory. This article investigates generative AI’s transformative potential to augment recruiters’ daily operations. Through a qualitative interview study, we derive and illuminate the opportunities of generative AI within the recruitment domain, shedding light on its promising opportunities but also addressing inherent challenges. The findings of this study propose a theoretical model of generative AI in recruitment and how it empowers recruiters in their daily tasks to recruit tomorrow’s talents.

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Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Employer Branding and e-HRM
Type
article
Field-Weighted Citation Impact
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article

Hiring Tomorrow’s Talents: How Generative Artificial Intelligence Transforms Human Resources Recruitment

Nils Urbach, Alexander Rex, Gero Strobel, Leonardo Banh
ScholarSpace (University of Hawaii at Manoa)
Employer Branding and e-HRM
article

Hiring Tomorrow’s Talents: How Generative Artificial Intelligence Transforms Human Resources Recruitment

Nils Urbach, Alexander Rex, Gero Strobel, Leonardo Banh
article en

Abstract

The global talent shortage has become a universal challenge, prompting practitioners and researchers to explore digital innovations as potential solutions for acquiring the right talents. However, the role of emerging technologies like generative artificial intelligence (AI) in human resources (HR) remains largely uncharted territory. This article investigates generative AI’s transformative potential to augment recruiters’ daily operations. Through a qualitative interview study, we derive and illuminate the opportunities of generative AI within the recruitment domain, shedding light on its promising opportunities but also addressing inherent challenges. The findings of this study propose a theoretical model of generative AI in recruitment and how it empowers recruiters in their daily tasks to recruit tomorrow’s talents.

ScholarSpace (University of Hawaii at Manoa)
Decent work and economic growth
Openalex Percentile: Top 25%
Employer Branding and e-HRM
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