| Issue |
SHS Web Conf.
Volume 234, 2026
International Conference on Innovation Economy and Business Management (ICIEBM 2026)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 8 | |
| Section | Brand Strategy, Marketing Communication & Design | |
| DOI | https://doi.org/10.1051/shsconf/202623402007 | |
| Published online | 19 June 2026 | |
Deconstruction and Reconstruction of Brand Authority by AI: A Comparative Case Study Based on the Authenticity Dimension
Institute of Popular Music, Wuhan Conservatory of Music, Wuhan, 430000, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Against the background of the deep integration of AIGC (Artificial Intelligence Generated Content) technology into brand operations, artificial intelligence exhibits dual characteristics of deconstruction and reconstruction in its impact on corporate brand authority, and brand authenticity has become the core factor determining the effect of technological application. This paper adopts an exploratory comparative case study method, selecting the AI Christmas advertisement trust crisis of McDonald’s Netherlands in 2025 as a negative case and the “Genuine AI Milk, Genuine AI Creativity” AIGC Video Ecological Innovation Competition of Yili Group in 2024 as a positive case, to systematically analyze the differentiated impacts of different AI application strategies on brand authority in the fast-moving consumer goods industry. The research shows that AI does not inherently deconstruct or reconstruct brand authority, and whether the technical application methods conform to the four dimensions of authenticity is the key to maintaining brand authority. This research extends the connotation of the traditional brand authenticity theory in the digital age, constructs an operable practical framework for the authenticity of AI brand communication, and provides practical references for fast-moving consumer goods enterprises to reshape brand authority with the help of AI technology in the AIGC era.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

