What is AI washing?

Full Explanation

AI washing has emerged as a significant concern for investors and regulators since the AI boom of 2023-2025. Companies engage in AI washing by overstating the role of AI in their products, claiming AI capabilities that don't exist, or rebranding existing automation or rule-based systems as 'AI-powered'. The SEC has taken enforcement action against several companies for AI-related misrepresentations, including Delphia and Global Predictions (fined in 2024). Red flags include vague claims about 'AI-powered' features without specifics, inability to explain the training data or model architecture, no measurable AI-related metrics in financial reporting, and dramatic AI-related stock price movements without corresponding product evidence. For investors performing due diligence, proper intangible asset valuation helps cut through AI washing by requiring evidence of genuine AI assets: trained models, proprietary datasets, documented development processes, and measurable performance improvements.

Investment decision-making increasingly requires understanding intangible assets. Whether evaluating a private equity acquisition, a venture capital investment, or a public market position, investors who can assess the quality and sustainability of a company's intangible assets gain a significant analytical advantage. Traditional due diligence focuses on financial statements, market position, and management quality — but intangible asset analysis adds a dimension that reveals competitive sustainability, growth potential, and downside risk that financial metrics alone cannot capture.

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