Article | June 30, 2026
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In their latest white paper, Trends in AI-Related Securities Class Actions Through 2025, Bilal Shah, Chris Riper and Lauren Nasta examine the accelerating wave of securities litigation tied to artificial intelligence.
The white paper examines 51 AI-related securities class actions filed between 2020 and 2025 across multiple industries, highlighting allegation themes including AI washing, disclosure failures, and AI algorithm breakdowns. It also reviews how these claims are being advanced in securities complaints and litigation.
What the white paper covers
- AI washing – Claims of companies overstating or misrepresenting their AI capabilities
- Failure to disclose risks and limitations — Claims centered on omissions, risk disclosures, and reported AI performance constraints
- AI algorithm failures — Litigation tied to operational breakdowns and underperformance of AI-driven systems
- Industry analysis — Case activity spanning enterprise AI providers, semiconductor companies, automotive manufacturers, and other AI adopters
- Securities litigation framing — How AI-related allegations are being advanced in complaints and proceedings and outcomes from settled cases
The emergence of AI-related securities class actions marks a new chapter in the intersection of technological innovation and shareholder protection. As this litigation trend continues to evolve, what will 2026 bring for AI disclosures, enforcement activity, and securities fraud risk?
To discuss the findings or their implications for securities litigation, disclosures, or risk governance, please reach out to Bilal Shah, Chris Riper, and Lauren Nasta.
Securities & Finance
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