Voices of Freelance Professional Writers on AI: Limitations, Expectations, and Fears

Anastasia Ivanova, Natalia Fedorova, Ekaterina Artemova


Abstract
The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as language support, ethics, and long-term impact on writers’ voice and creativity remain underexplored. In this work, we carried out a questionnaire (N = 301) and an interactive task (N = 36) targeting freelance professional writers regularly using AI. We examined AI-assisted writing practices across 25+ languages, ethical concerns, and user expectations. Our findings reveal that adoption is shaped more by peer influence and professional outlook than demographics, that multilingual writers face both performance and perception barriers to equitable AI use, and that job security concerns are widespread and adoption-independent.
Anthology ID:
2026.emnlp-main.2271
Volume:
Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2026
Address:
Budapest, Hungary
Editors:
Hung-Yi Lee, Sunipa Dev, Jessy Li, Desmond Elliott
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
51642–51670
Language:
URL:
https://aclanthology.org/2026.emnlp-main.2271/
DOI:
Bibkey:
Cite (ACL):
Anastasia Ivanova, Natalia Fedorova, and Ekaterina Artemova. 2026. Voices of Freelance Professional Writers on AI: Limitations, Expectations, and Fears. In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, pages 51642–51670, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
Voices of Freelance Professional Writers on AI: Limitations, Expectations, and Fears (Ivanova et al., EMNLP 2026)
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PDF:
https://aclanthology.org/2026.emnlp-main.2271.pdf