TY - GEN
T1 - AI Rivalry as a Craft
T2 - 2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
AU - Varanasi, Rama Adithya
AU - Wiesenfeld, Batia Mishan
AU - Nov, Oded
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2025/4/26
Y1 - 2025/4/26
N2 - Generative AI (GAI) technologies are disrupting professional writing, challenging traditional practices. Recent studies explore GAI adoption experiences of creative practitioners, but we know little about how these experiences evolve into established practices and how GAI resistance alters these practices. To address this gap, we conducted 25 semi-structured interviews with writing professionals who adopted and/or resisted GAI. Using the theoretical lens of Job Crafting, we identify four strategies professionals employ to reshape their roles. Writing professionals employed GAI resisting strategies to maximize human potential, reinforce professional identity, carve out a professional niche, and preserve credibility within their networks. In contrast, GAI-enabled strategies allowed writers who embraced GAI to enhance desirable workflows, minimize mundane tasks, and engage in new AI-managerial labor. These strategies amplified their collaborations with GAI while reducing their reliance on other people. We conclude by discussing implications of GAI practices on writers' identity and practices as well as crafting theory.
AB - Generative AI (GAI) technologies are disrupting professional writing, challenging traditional practices. Recent studies explore GAI adoption experiences of creative practitioners, but we know little about how these experiences evolve into established practices and how GAI resistance alters these practices. To address this gap, we conducted 25 semi-structured interviews with writing professionals who adopted and/or resisted GAI. Using the theoretical lens of Job Crafting, we identify four strategies professionals employ to reshape their roles. Writing professionals employed GAI resisting strategies to maximize human potential, reinforce professional identity, carve out a professional niche, and preserve credibility within their networks. In contrast, GAI-enabled strategies allowed writers who embraced GAI to enhance desirable workflows, minimize mundane tasks, and engage in new AI-managerial labor. These strategies amplified their collaborations with GAI while reducing their reliance on other people. We conclude by discussing implications of GAI practices on writers' identity and practices as well as crafting theory.
KW - author
KW - chatGPT
KW - genAI
KW - Generative AI
KW - invisible work
KW - job
KW - job crafting
KW - labor
KW - productivity
KW - rivalry
KW - work transformation
KW - writer
KW - writing professional
UR - http://www.scopus.com/inward/record.url?scp=105005753028&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105005753028&partnerID=8YFLogxK
U2 - 10.1145/3706598.3714035
DO - 10.1145/3706598.3714035
M3 - Conference contribution
AN - SCOPUS:105005753028
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 26 April 2025 through 1 May 2025
ER -