AI washing: Strategic disclosure and backlash
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.
Authors
- Zizhou Ouyang
- Xiapeng Song
- Wenxuan Hou
- Fangmin Hao
Publication Details
- Journal
- Finance research letters
- Published
- 2026-02-25
- DOI
- https://doi.org/10.1016/j.frl.2026.109684
- Citations
- 1
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 25.65