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This study finds that while German firms deploy generative AI in HR primarily for efficiency gains, the technology also offers untapped potential for strategic talent development if data governance challenges are addressed. The research underscores a critical tension between algorithmic transparency and organizational rationalization goals within co-determination frameworks.
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AI-Augmented Human Resource Management? Insights from German companies

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2607.13839v2 Announce Type: replace-cross Abstract: This study examines the integration of AI into Human Resource Management in German companies. We ask if and how AI-based technologies are \enquote{augmenting} human resource management. Organisations employ generative AI or predictive analytics to transform traditional human resource functions, to streamline routine tasks and to reallocate resources toward strategic, people-centred activities. Our findings from interviews and group discussions and a survey (N=410) reveal that while AI tools enhance HR analytics capabilities, their adoption mainly serves efficiency and rationalising goals. The introduction of AI tools is shaped by organisational transformation factors such as digital infrastructure, co-determination frameworks, and ethical implications. The research highlights both the strategic potential for improved talent development and the challenges posed by data governance and algorithmic transparency. Overall, this work contributes to understanding the ambiguous role of technological change in HR, which promises to augment predictive capabilities yet serves the ends of efficiency and rationalisation.

Title:AI-Augmented Human Resource Management? Insights from German companies

Abstract:This study examines the integration of AI into Human Resource Management in German companies. We ask if and how AI-based technologies are \enquote{augmenting} human resource management. Organisations employ generative AI or predictive analytics to transform traditional human resource functions, to streamline routine tasks and to reallocate resources toward strategic, people-centred activities. Our findings from interviews and group discussions and a survey (N=410) reveal that while AI tools enhance HR analytics capabilities, their adoption mainly serves efficiency and rationalising goals. The introduction of AI tools is shaped by organisational transformation factors such as digital infrastructure, co-determination frameworks, and ethical implications. The research highlights both the strategic potential for improved talent development and the challenges posed by data governance and algorithmic transparency. Overall, this work contributes to understanding the ambiguous role of technological change in HR, which promises to augment predictive capabilities yet serves the ends of efficiency and rationalisation.

Computers and Society (cs.CY); Artificial Intelligence (cs.AI)

arXiv:2607.13839 [cs.CY]

(or arXiv:2607.13839v2 [cs.CY] for this version)

https://doi.org/10.48550/arXiv.2607.13839 Focus to learn more arXiv-issued DOI via DataCite

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