Artificial intelligence (“Al”) has become ubiquitous in today’s technological landscape. Whether it’s running algorithms that recommend streaming content, driving autonomous vehicles that navigate traffic, or even simply sorting an e-mail inbox, Al is undoubtedly a powerful tool that promises efficiency, scalability, and competitive advantage for modern technology companies. As a result, companies that focus on the enhancement of Al capabilities often garner heightened attention from investors seeking to capitalize on innovative new technologies. Take Nvidia, for example, which in July 2025 surpassed Apple and Microsoft to become the first publicly traded company to reach a $4 trillion (€3.4 trillion) market capitalization, an achievement largely fueled by its dominance in the Al chip market. This evinces a larger trend whereby investors are rewarding companies perceived to be on the cutting edge of Al development and placing greater weight on companies’ Al-related claims.
While investors’ optimism in Al’s growth potential is far from unfounded, it has also given rise to a new form of misrepresentation known as Al-washing. Al-washing is much like greenwashing in the ESG space. Just as greenwashing involves companies misleading the market about the environmental impact of their products, Al-washing refers to companies’ over-exaggeration or falsification of their Al features. Tech executives invoke terms like “Al-powered,” “machine learning,” and “neural networks” to give the false and misleading impression that Al is deeply embedded in their products, when in fact its role is minimal or ineffective. Investors in these companies who fail to scrutinize these inflated claims may ultimately bear the financial consequences when the truth about a company’s actual use of Al comes to light and performance falls short of expectations. Fortunately, courts and regulatory agencies have reacted quickly to curtail fraudulent Al statements and legitimize securities fraud claims based on Al-washing.
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