AI-washing: The Asymmetric Effects of Its Two Types on Consumer Perceptions

Room 8.038 (The Spot) and Zoom

Share via

More Information

Greg Nyilasy

Authors

Greg Nyilasy (Presenter), The University of Melbourne

Harsha Gangadharbatla, University of Colorado Boulder

Abstract

As artificial intelligence (AI) becomes increasingly embedded in business operations, some firms engage in “AI-washing” by misrepresenting their AI usage. This paper explores the asymmetric effects of two types of AI-washing—deceptive boasting (falsely claiming to use AI) and deceptive denial (falsely denying AI use)—on consumer perceptions, attitudes, and purchase intentions. Across a 2×2 experimental design (N = 401), we find that deceptive denial significantly reduces purchase intention and increases perceived betrayal, while deceptive boasting has no such negative effects. A moderated mediation analysis confirms that consumer perceptions of betrayal drive these asymmetric effects. Theoretical and managerial implications are discussed.