Corporate misrepresentation has long threatened the integrity of financial markets, from financial fraud and inflated product claims to deceptive disclosures. This article examines an emerging form of such misconduct: “Artificial intelligence (hereinafter AI) washing”, in which companies exaggerate or fabricate their use of capabilities in AI to increase valuations, attract investors or gain a competitive advantage. Although scholarship has extensively examined the analogous phenomenon of greenwashing, the prevalence, legal consequences and regulatory treatment of AI washing remain comparatively underexplored.
This article addresses that gap by asking when AI-related corporate claims constitute actionable securities misrepresentation and whether existing doctrine, particularly Rule 10b-5 under the Securities Exchange Act of 1934 (hereinafter Act), is adequately equipped to address them. It also examines the challenges of detecting misleading AI claims given the technical opacity and rapidly evolving nature of AI systems.
Drawing on a textual analysis of more than 5,000 U.S. Securities and Exchange Commission (hereinafter SEC) filings from 2020 to 2025, a comparative examination of greenwashing enforcement and a qualitative analysis of recent AI-related enforcement actions, the article finds that AI washing may satisfy Rule 10b-5’s materiality and scienter requirements when corporate representations materially diverge from operational reality. The analysis further identifies a 15-20% valuation premium associated with unsubstantiated AI claims that dissipates following scrutiny, suggesting potential investor harms comparable to those observed in greenwashing.
Building on these findings, the article proposes tailored SEC disclosure guidance, an expanded role for auditors and stronger incentives for private enforcement. These reforms seek to improve the verifiability of AI-related corporate disclosures while preserving space for legitimate communication about emerging technologies.