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<p>With the increasing adoption of artificial intelligence (AI) in the labor market, vocational tasks and competence requirements placed on employees are undergoing significant change. This study examines the implications of generative AI for the German labor market during its early phase of implementation. Using a&#xa0;large dataset of 9.3&#xa0;million online job postings from 2020 to 2023, the study analyzes trends in job advertisements related to generative AI and identifies as well as classifies tasks associated with generative artificial intelligence through the application of natural language processing (NLP) methods and manual classification. The results indicate that by the end of 2023, generative AI had still attained rather limited application in the German labor market. Observable changes are primarily evident in prompt engineering, which has emerged as a&#xa0;new vocational task with a&#xa0;low number of findings.</p><p><i>Practical Relevance</i>: This study sheds light on the implementation of generative AI in the German labor market based on observable changes in job postings and the associated shifts in vocational tasks derived from genuine labor market requirements. The findings provide insights into how generative AI is currently reshaping the German labor market. Organizations can gain an understanding of the present diffusion of generative AI in the labor market and use these insights to strategically adapt their recruitment practices and task profiles, as well as to prepare current employees through targeted training and upskilling initiatives. At the individual level, the results offer employees and job seekers a&#xa0;realistic picture of where and how generative AI is changing vocational tasks, enabling them to align their education and career decisions accordingly.</p>

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Implikationen generativer künstlicher Intelligenz für den Arbeitsmarkt: Eine Analyse von Online-Stellenanzeigen in Deutschland

  • 期刊论文

  • 发表日期：

    2026年4月21日

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  • Britta Rüschoff,
  • Timm Eichenberg,
  • Tom Staab,
  • Michael Vogelsang

摘要

With the increasing adoption of artificial intelligence (AI) in the labor market, vocational tasks and competence requirements placed on employees are undergoing significant change. This study examines the implications of generative AI for the German labor market during its early phase of implementation. Using a large dataset of 9.3 million online job postings from 2020 to 2023, the study analyzes trends in job advertisements related to generative AI and identifies as well as classifies tasks associated with generative artificial intelligence through the application of natural language processing (NLP) methods and manual classification. The results indicate that by the end of 2023, generative AI had still attained rather limited application in the German labor market. Observable changes are primarily evident in prompt engineering, which has emerged as a new vocational task with a low number of findings.

Practical Relevance: This study sheds light on the implementation of generative AI in the German labor market based on observable changes in job postings and the associated shifts in vocational tasks derived from genuine labor market requirements. The findings provide insights into how generative AI is currently reshaping the German labor market. Organizations can gain an understanding of the present diffusion of generative AI in the labor market and use these insights to strategically adapt their recruitment practices and task profiles, as well as to prepare current employees through targeted training and upskilling initiatives. At the individual level, the results offer employees and job seekers a realistic picture of where and how generative AI is changing vocational tasks, enabling them to align their education and career decisions accordingly.