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ChatGPT in Knowledge-Intensive Work: Patterns of Adoption, Perceived Usefulness, and Human-AI Collaboration Across Three Domains
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Author(s): Jennifer Haase (Weizenbaum Institute, Humboldt-Universität zu Berlin, Germany), Florian Butollo (Goethe-Universität Frankfurt am Main, Germany), Konrad-Malte Hoppe (Weizenbaum Institute, Humboldt-Universität zu Berlin, Germany), Ann-Katrin Katzinski (Humboldt-Universität zu Berlin, Germany)and Anne K. Krüger (Weizenbaum Institute, Humboldt-Universität zu Berlin, Germany)
Copyright: 2026
Volume: 16
Issue: 1
Pages: 22
Source title:
International Journal of Technology Diffusion (IJTD)
Editor(s)-in-Chief: Ali Hussein Saleh Zolait (University of Bahrain, Bahrain)
DOI: 10.4018/IJTD.404029
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Abstract
In this study, the authors explored the integration and impact of ChatGPT, a generative artificial intelligence (AI) tool, across three knowledge-intensive fields: coaching, information technology programming, and academic research. In a survey of 385 professionals, they examined adoption patterns, task support, and subjective perceptions of skill demands, creativity, and authenticity across ChatGPT versions 3.5 and 4. Despite domain-specific differences, ChatGPT was consistently seen as a valuable, complementary tool for structured and content-focused tasks, although not as a substitute for human expertise. GPT-4 was slightly preferred for complex use cases, but perceptions across versions were broadly similar. Domain-specific findings reveal that ChatGPT supports ideation and structuring in coaching, code review, and debugging in information technology, as well as writing and synthesis in science. These insights deepen organizations' understanding of how professionals experience AI-assisted work and highlight the evolving role of human agency in human-AI collaboration.
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