mlsanityData to 7 Oct 2026

AI Rivalry as a Craft: How Resisting and Embracing Generative AI Reshape Writing Professions

arXiv 2503.09901 ↗First posted 12 Mar 2025cs.HC cs.AIcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 23 of its 123 references that are in the map. First posted on arXiv 12 Mar 2025.

Builds on

23 of 123 references.

References · 23

  1. 2022CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilitiescited by 245
  2. 2022Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionalscited by 191
  3. 2021Expanding Explainability: Towards Social Transparency in AI systemscited by 124
  4. 2023Art and the science of generative AI: A deeper divecited by 93
  5. 2022Large-scale Text-to-Image Generation Models for Visual Artists' Creative Workscited by 60
  6. 2023Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Educationcited by 41
  7. 2024The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writingcited by 37
  8. 2023Writer-Defined AI Personas for On-Demand Feedback Generationcited by 36
  9. 2023How Knowledge Workers Think Generative AI Will (Not) Transform Their Industriescited by 29
  10. 2023The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualizationcited by 23
  11. 2023ReelFramer: Human-AI Co-Creation for News-to-Video Translationcited by 19
  12. 2023The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communicationcited by 19
11 more
  1. 2024"If the Machine Is As Good As Me, Then What Use Am I?" -- How the Use of ChatGPT Changes Young Professionals' Perception of Productivity and Accomplishmentcited by 19
  2. 2023ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Modelscited by 17
  3. 2023User Experience Design Professionals' Perceptions of Generative Artificial Intelligencecited by 16
  4. 2023Public Perception of Generative AI on Twitter: An Empirical Study Based on Occupation and Usagecited by 14
  5. 2024Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Artscited by 13
  6. 2023"An Adapt-or-Die Type of Situation": Perception, Adoption, and Use of Text-To-Image-Generation AI by Game Industry Professionalscited by 11
  7. 2023CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Modelscited by 10
  8. 2022When happy accidents spark creativity: Bringing collaborative speculation to life with generative AIcited by 9
  9. 2024Ai.llude: Encouraging Rewriting AI-Generated Text to Support Creative Expressioncited by 9
  10. 2023Platformization of Inequality: Gender and Race in Digital Labor Platformscited by 2
  11. 2025Generative AI & Changing Work: Systematic Review of Practitioner-led Work Transformations through the Lens of Job Craftingcited by 2

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Citing papers per year: 2026: 3.

3 papers.