Balancing human and artificial creativity: a paradox perspective on artistic production in the GenAI era

Galina Kondrateva (), Patricia Baudier () and Chantal Ammi ()
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Galina Kondrateva: OCRE - Observatoire et Centre de Recherche en Entrepreneuriat - EDC - EDC Paris Business School, EDC - EDC Paris Business School
Patricia Baudier: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Chantal Ammi: LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: The relationship between creativity and artificial intelligence (AI) has attracted widespread attention from the public, corporations, and academia. Advanced AI-based examples of artistic production, such as AI generated music, poetry, and paintings, have started transforming the creative and cultural industries. This study analyzed the componential model of creativity through the lens of the Generative AI (GenAI) artwork produced by artists. A qualitative approach was employed utilizing data collected from interviews with various artists, critics, and technicians who worked with GenAI, thereby helping in identifying the creativity paradoxes in the AI era. The results suggest that the use of GenAI has created dualities in the components of creativity, including tensions between extrinsic and intrinsic motivations, artistic and technical skills, and creations by an artist and those generated by AI. Given that AI will continue to develop, the cultural and creative industries need to find ways to navigate these creativity paradoxes.

Keywords: Artistic Production; Generative AI; Creativity; Paradox (search for similar items in EconPapers)
Date: 2026-12
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Published in Technovation, 2026, 158, pp.103728. ⟨10.1016/j.technovation.2026.103728⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05768432

DOI: 10.1016/j.technovation.2026.103728

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