AI washing: Strategic disclosure and backlash

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Authors: Xiapeng Song, Wenxuan Hou, Zizhou Ouyang, Fangmin Hao
Cited by: 18
References: 27

Abstract

As firms increasingly exaggerate artificial intelligence (AI) adoption in disclosures, we analyze market responses to unsubstantiated AI claims. Using BERT-based text classification and AI patent data for U.S. firms (2018-2023), we find that such narratives initially attract investors but ultimately yield negative market reactions and sustained underperformance. Results demonstrate market penalties for AI overclaiming through both short-term investor responses and long-term operational outcomes, extending narrative economics to emerging technologies. The study highlights that while narratives can mobilize attention, markets ultimately punish rhetoric that outpaces implementation.

Fields of Study & Subjects

Ethics and Social Impacts of AI AI in Service Interactions FinTech Crowdfunding Digital Finance

Publication details

Journal / source
Finance research letters
Publisher
Elsevier BV
Volume
95
Pages
109684–109684
Publication date
25 February 2026
Language
EN