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<p>Introducing artificial intelligence (AI) in organizations raises questions about change management. For example, how can employees be trained to work with AI? Although there are scientific studies on change management in AI, practical recommendations from scientific theory are rarely presented in a&#xa0;concise manner. This article explains the scientific theories in an illustrative manner using three use cases and presents recommendations for action. The theories were selected based on a&#xa0;qualitative literature review. The recommendations for action address changes in tasks and roles, the identity and meaningfulness of work, the acceptance, trust, and use of AI, and finally, training. The use cases cover AI in agriculture, human resources, and surgery. Successful change management allows organizations to realize the positive effects of the changing work through AI.</p>

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Veränderung der Arbeit: Change Management für Anwendungen Künstlicher Intelligenz

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月23日

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  • Joschka Andreas Hüllmann

摘要

Introducing artificial intelligence (AI) in organizations raises questions about change management. For example, how can employees be trained to work with AI? Although there are scientific studies on change management in AI, practical recommendations from scientific theory are rarely presented in a concise manner. This article explains the scientific theories in an illustrative manner using three use cases and presents recommendations for action. The theories were selected based on a qualitative literature review. The recommendations for action address changes in tasks and roles, the identity and meaningfulness of work, the acceptance, trust, and use of AI, and finally, training. The use cases cover AI in agriculture, human resources, and surgery. Successful change management allows organizations to realize the positive effects of the changing work through AI.