Gratification and Utility as Determinants of AI Adoption among Professionals: A Qualitative Cross-Industry Analysis
- DOI
- 10.2991/978-2-38476-597-3_45How to use a DOI?
- Keywords
- AI; hallucination; uses and gratifications; utility theory; LLM; confidence in AI
- Abstract
Rapid deployment of Artificial Intelligence (AI) technology in formal and informal sectors of the economy in the last five years or so has made it important to understand how professionals in various sectors perceive this technology and what determines their perception. This paper purported to examine the factors causing the deification of AI among professionals in China who are considerably familiar with AI and adept at using it, from a Uses and Gratification Theory and Utility Theory perspective. Using focus group discussions to collect primary qualitative data and thematic analysis, it is found that knowledge of AI limitations does not deter its adoption. Users have taken a mitigation or early-adopter mindset to manually curtail drawbacks, while considering the flaws of AI as pains of using a technology in its early days, and having faith in its prospects as well as its accuracy and efficiency.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuansheng Liu AU - Xinjue Jiang PY - 2026 DA - 2026/07/13 TI - Gratification and Utility as Determinants of AI Adoption among Professionals: A Qualitative Cross-Industry Analysis BT - Proceedings of the 4th International Conference on Language and Cultural Communication (ICLCC 2026) PB - Atlantis Press SP - 417 EP - 424 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-597-3_45 DO - 10.2991/978-2-38476-597-3_45 ID - Liu2026 ER -