Microsoft Sued for Securities Fraud Over AI Performance Exaggeration
Microsoft is being sued by shareholders, accusing it of exaggerating the growth of Copilot and Azure AI to Wall Street for over a year. On January 28, it was revealed that the actual number of paid users for Microsoft 365 Copilot was only 15 million, far below expectations, while Azure's growth slowed, leading to a 10% drop in stock price the next day (from $481.63 to $433.50).
The lawsuit was filed in the U.S. District Court for the Western District of Washington against Microsoft and its executives, alleging a disconnect between the described demand for AI and actual business performance under the Securities Act of 1934.
On the same day, ZoomInfo and Intuit also faced similar lawsuits over AI-related performance issues, as all three companies faced investor skepticism regarding the authenticity of their AI growth narratives.
Source: Public Information
ABAB AI Insight
Since 2023, Microsoft has heavily promoted Copilot as an AI growth engine, previously maintaining a high valuation through optimistic financial guidance, similar to the initial capital market frenzy over AI concepts during the early collaboration with OpenAI. This lawsuit marks a decline in regulatory and investor tolerance for AI narratives.
Microsoft faces a potential gap between internal actual usage data and external guidance. If the lawsuit enters the discovery phase, it will expose emails and internal metrics. ZoomInfo's "AI and agentic confusion" has led clients to pause purchases, and Intuit's layoffs due to a price war further confirm the slow implementation of consumer-facing AI.
Similar to the stock price fluctuations of Meta and Google due to adjustments in their metaverse/advertising AI guidance, and the hesitance of clients in SaaS companies like ZoomInfo regarding AI sales tools, the simultaneous lawsuits against these three companies highlight a critical turning point where the AI capital story shifts from expectation-driven to actual delivery verification.
Essentially, this reflects capital concentration: investors are punishing companies whose AI narratives are disconnected from reality through collective lawsuits, directing funds towards AI applications that can provide verifiable ROI and transparent usage data. Pricing power is shifting from concept promotion to real commercialization capabilities, accelerating industry reshuffling.
ABAB News · Cognitive Law
Capital markets buy expectations, courts require evidence; AI growth narratives must undergo discovery verification.
When paid users are far below guidance, a stock price fluctuation of 10%+ serves as a punishment mechanism.
During the slow implementation phase of AI, capital shifts from industry-wide enthusiasm to a few validated products, accelerating the clearing of the bubble.