When AI Is Made at Work: Job Crafting and the Socio-materiality of Generative AI in the Cultural and Creative Industries

Quand l’IA se fabrique dans le travail: Comprendre la socio-matérialité de l’IA générative par le job crafting dans le secteur des ICC

Baptiste Rege, Lise Arena () and Sophia Galiere ()
Additional contact information
Baptiste Rege: UniCA - Université Côte d'Azur, GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur
Sophia Galiere: GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, UniCA - Université Côte d'Azur

Post-Print from HAL

Abstract: The rapid integration of generative artificial intelligence (GenAI) technologies is profoundly transforming cognitive and creative work, while bringing work back to the core concerns of the Information Systems (IS) field. Whereas IS research has long approached work primarily as a context of technology use, this paper mobilizes job crafting theory to examine the concrete adjustments through which workers actively shape their activities in response to GenAI. Drawing on a qualitative study conducted with 29 professionals from the audiovisual sector, we analyze forms of approach and avoidance AI crafting developed by workers to negotiate the enabling and constraining effects of these technologies. We show that job crafting provides a valuable analytical entry point to capture the sociomateriality of GenAI in practice, by revealing how technology is enacted and performed through individual and collective work practices. The paper thus contributes to strengthening the dialogue between IS research and work studies, while reaffirming workers' agency in the face of AI.

Keywords: Socio-materialité; AI crafting; Job crafting; Industries culturelles et créatives; Systèmes d'information; IA generative (search for similar items in EconPapers)
Date: 2026-05-20
References: Add references at CitEc
Citations:

Published in 31e Conférence de l’Association Information et Management, Association Information et Management, May 2026, Neuchatel, Suisse

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05751933

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().