This study examines the integration of AI into Human Resource Management in German companies. We inquire how AI-based technologies are "augmenting" HR management. Organizations employ generative AI or predictive analytics to transform traditional HR functions, streamline routine tasks, and reallocate resources toward strategic, people-centered activities.
Our findings from interviews, group discussions, and a survey (N=410) reveal that while AI tools enhance HR analytics capabilities, their adoption mainly serves efficiency and rationalization goals.
The introduction of AI tools is shaped by organizational 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 rationalization.
Blogger's Review: This study reveals the dual role of AI in HR management, promoting efficiency while raising concerns about data governance and ethics. Balancing technological application with transparency and ethical considerations will be a key direction for future research.