Type of Publication: Article in Collected Edition

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

Author(s):

Banh, Leonardo; Rex, Alexander; Strobel, Gero; Urbach, Nils

Title of Anthology:

Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS)

Location(s):

Maui, Hawaii, USA

Publication Date:

2026

Citation:

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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.