Technostress and generative AI in the workplace: a qualitative analysis of young professionals

Generative artificial intelligence (GenAI) is rapidly diffusing into the workplace and is expected to substantially reshape roles, workflows, and skill requirements, particularly for young professionals as early adopters who are highly exposed to these tools. While GenAI is widely regarded as a means to increase productivity, its adoption may simultaneously introduce new challenges, including various forms of technostress. Drawing on 15 semi-structured interviews with young professionals in research and development (R&D), IT, finance, and marketing in organizations piloting or using GenAI, we conducted a structured qualitative content analysis guided by established technostress dimensions. Our findings indicate that classic technostress dimensions remain relevant but manifest differently across sectors and contexts. Moreover, additional GenAI-specific stressors emerged, such as regulatory and compliance ambiguity, data protection and copyright concerns, perceived dependency, potential skill degradation, doubts about the reliability and controllability of AI outputs, and a shift towards more monitoring and conceptual work. At the same time, participants reported techno-eustress in the form of efficiency gains, learning opportunities, and enhanced intrinsic motivation. Overall, the study extends existing technostress frameworks and underscores the importance of AI literacy, clear organizational governance, and supportive work design to mitigate negative technostress while enabling the productive use of GenAI.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2025-12-12
DOI
https://doi.org/10.3389/frai.2025.1728881
Citations
2
Primary Topic
Technostress in Professional Settings
Type
article
Field-Weighted Citation Impact
4.88
Controls
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article

Technostress and generative AI in the workplace: a qualitative analysis of young professionals

Laura Hein, Malte Högemann, Oliver Thomas, Jan-Oliver Britsche
2 citations
Frontiers in Artificial Intelligence
Technostress in Professional Settings
4.88
article

Technostress and generative AI in the workplace: a qualitative analysis of young professionals

Laura Hein, Malte Högemann, Oliver Thomas, Jan-Oliver Britsche
article en
2 citations

Abstract

Generative artificial intelligence (GenAI) is rapidly diffusing into the workplace and is expected to substantially reshape roles, workflows, and skill requirements, particularly for young professionals as early adopters who are highly exposed to these tools. While GenAI is widely regarded as a means to increase productivity, its adoption may simultaneously introduce new challenges, including various forms of technostress. Drawing on 15 semi-structured interviews with young professionals in research and development (R&D), IT, finance, and marketing in organizations piloting or using GenAI, we conducted a structured qualitative content analysis guided by established technostress dimensions. Our findings indicate that classic technostress dimensions remain relevant but manifest differently across sectors and contexts. Moreover, additional GenAI-specific stressors emerged, such as regulatory and compliance ambiguity, data protection and copyright concerns, perceived dependency, potential skill degradation, doubts about the reliability and controllability of AI outputs, and a shift towards more monitoring and conceptual work. At the same time, participants reported techno-eustress in the form of efficiency gains, learning opportunities, and enhanced intrinsic motivation. Overall, the study extends existing technostress frameworks and underscores the importance of AI literacy, clear organizational governance, and supportive work design to mitigate negative technostress while enabling the productive use of GenAI.

Frontiers in Artificial IntelligenceVol. 8
Osnabrück University (DE), German Research Centre for Artificial Intelligence (DE)
Openalex Percentile: Top 4%
Technostress in Professional Settings
4.88
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