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When AI Sparks Less : Generative AI and the Decline of Self-Perceived Creativity

Title data

Endres, Kathrin ; Schöttl, Frederik ; Baisch, Lisa:
When AI Sparks Less : Generative AI and the Decline of Self-Perceived Creativity.
In: Proceedings of the 34th European Conference on Information Systems (ECIS). - Milan, Italy , 2026

Official URL: Volltext

Project information

Project financing: Fraunhofer Blockchain Center

Abstract in another language

The integration of Generative Artificial Intelligence (GenAI) into creative work has the potential to transform how individuals generate ideas and solve problems. While prior research has emphasized GenAI’s ability to enhance productivity and creative outcomes, less is known about its impact on the psychological and skill-based components of human creativity. This study investigates how using GenAI influences intrinsic task motivation, domain-relevant skills, creativity-relevant skills, and self-evaluated creative performance. Results from the experiment with 82 participants revealed that GenAI usage significantly decreased intrinsic task motivation, domain-relevant skills, and creativity-relevant skills, while self-evaluated performance remained unchanged. These findings indicate that although GenAI can provide objective support for creative tasks, its use may undermine individuals’ perceptions of their own competence and creative abilities. The results highlight the role of GenAI in human-AI collaboration, emphasizing that technological augmentation may coexist with declines in the psychological resources traditionally driving creativity.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Generative Artificial Intelligence; Human-AI Collaboration; Creativity; Self-Perceived Creativity; Self-Perceived Performance
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 03 Jul 2026 06:30
Last Modified: 03 Jul 2026 06:30
URI: https://eref.uni-bayreuth.de/id/eprint/98959