# AI Washing Falsely or misleadingly claiming that a product, service, or company uses artificial intelligence — typically to attract investment, justify premium pricing, or inflate stock valuations. The term mirrors "greenwashing" (false environmental claims) and emerged as the AI hype cycle created incentives for companies to rebrand ordinary software as "AI-powered." ## The mechanism AI washing operates across a spectrum: - **Outright fraud:** Companies claiming AI capabilities that don't exist. The SEC has brought enforcement actions against companies (Delphia, Global Predictions) for making "false and misleading statements" about their AI use. - **Exaggeration:** Products that use simple automation, rules-based systems, or basic machine learning marketed as "AI" or "powered by artificial intelligence" to capture the valuation premium associated with AI companies. - **Rebranding:** Existing software features repackaged with "AI" labels after the ChatGPT hype cycle. Features that were "smart" or "automated" in 2022 became "AI-powered" in 2023 without any underlying change. The incentive structure is clear: companies with "AI" in their pitch decks receive higher valuations, attract more investor interest, and command media attention. The AI premium creates a rational — if dishonest — incentive to relabel existing technology. ## The regulatory response The SEC began treating AI washing as a securities-fraud issue in 2024, signaling that misleading AI claims to investors would be pursued under existing disclosure rules. The FTC has similarly warned companies against deceptive AI marketing claims. But enforcement is difficult because "AI" has no legal definition — the boundary between legitimate AI use and AI washing is judgment, not law. ## See Also - [[Foundation Model]] — what real AI products are built on - [[SPACs]] — another vehicle for hype-driven capital formation