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Offloading to Digital Minds: How Generative AI Can Help to Craft Jobs

In: Information Systems and Neuroscience

Author

Listed:
  • Eva Ritz

    (University of St. Gallen)

  • Leonie Rebecca Freise

    (University of Kassel)

  • Mahei Manhei Li

    (University of St. Gallen
    University of Kassel)

Abstract

In the era of ChatGPT and other generative AI tools, white-collar workers are given tremendous potential to simplify everyday tasks. Within vocational psychology, this phenomenon is known as job crafting. We conduct an electroencephalography-based mixed-factorial experiment to explore the underlying mechanisms of how and why the use of generative AI tools can lead to job crafting. Relying on cognitive load theory and resource demand theory, we measure the effects of ChatGPT use and prompt engineering guidance in strategic thinking tasks. We hypothesize that individuals who use ChatGPT without and with prompting examples rely on cognitive offloading to avoid cognitive effort, affecting resource demands. An initial evaluation of our experiment task design provides promising results. We plan our experiment with participants who are familiar with executive assistant tasks. Our expected results contribute to the ongoing discussion of ICT-enabled job crafting and provide empirical-driven explanations of AI-enabled job crafting mechanisms.

Suggested Citation

  • Eva Ritz & Leonie Rebecca Freise & Mahei Manhei Li, 2025. "Offloading to Digital Minds: How Generative AI Can Help to Craft Jobs," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Gernot (ed.), Information Systems and Neuroscience, pages 11-20, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-71385-9_2
    DOI: 10.1007/978-3-031-71385-9_2
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