Shareholders sue Microsoft over stock plunge after Azure slowdown
On January 29, Microsoft shares fell nearly 10% — the steepest one-day drop in six years, wiping out about $357 billion in market capitalization. The cause was a quarterly report showing slower Azure growth alongside record spending on AI infrastructure. On June 12, shareholders filed a class-action lawsuit in federal court in Seattle, alleging that the company misled them.
AI-processed from TNW; edited by Hamidun News
On January 29, Microsoft shares plummeted nearly 10% — the sharpest single-day decline in almost six years. In a single trading session, the company lost approximately $357 billion in market capitalization. The evening before, a quarterly earnings report was released that disappointed investors: Azure's slowdown coupled with simultaneous increases in AI spending. Several months later, on June 12, shareholders filed a collective lawsuit in federal court in Seattle.
One Day and $357 Billion
Microsoft's quarterly earnings report for October–December 2024 was released on the evening of January 28. Data for Azure — the company's flagship cloud service — came in below expectations: growth decelerated more sharply than the market had predicted. At the same time, Microsoft confirmed its intention to continue increasing capital expenditures on AI infrastructure, including data centers and accelerators.
On the morning of January 29, the market responded sharply. Shares opened with a collapse of around 10%, erasing approximately $357 billion in market capitalization in a single trading session. This became Microsoft's most severe single-day decline since 2020.
- Stock price decline: approximately 10% in a single trading day
- Market capitalization loss: approximately $357 billion
- Azure growth slowdown: below market expectations
- AI capital expenditures: the company continued to increase them despite weak results
- Scale: Microsoft's strongest single-day decline since 2020
Shareholders' Collective Lawsuit
On June 12, 2025, a securities class action was filed in the federal court of the Western District of Washington in Seattle — a collective lawsuit alleging violations of securities law. The logic of such lawsuits is standard: plaintiffs must prove that the company publicly misled the market in the period preceding disclosure of negative information.
Apparently, the accusation is built on the claim that Microsoft created inflated expectations among investors regarding Azure's growth and the return on AI investments while failing to disclose factors pointing to slowdown. When the actual picture emerged in the earnings report, shareholders who had purchased shares before publication suffered losses.
Securities class action is a common instrument in American corporate law. Following sharp single-day collapses of major companies, such lawsuits frequently follow almost automatically. The outcome of the case depends on whether plaintiffs can find specific public statements by management that qualify as misleading. As a rule, companies of this scale settle such disputes through settlement agreements without admitting guilt.
Microsoft and the AI Bet
What is happening reflects a contradiction characteristic of the entire big technology sector. Major platforms — Microsoft, Google, Amazon, Meta — are racing to invest hundreds of billions of dollars in AI infrastructure: data centers, accelerators, energy infrastructure, and networking equipment. The payback period remains extremely uncertain, and investors demand visible results right now.
Over the past two years, Microsoft has placed AI at the center of its strategy: partnership with OpenAI, integration of Copilot into Windows, Office, Teams, and Azure, emphasis on AI in every quarterly earnings report. When Azure showed slowdown, the market naturally raised the question: when exactly will AI investments begin to generate proportional revenue?
What This Means
The lawsuit is a reminder that aggressive AI bets carry legal risks if public rhetoric outpaces actual results. For the industry, this is a precedent: it could change how Microsoft and other tech companies formulate AI forecasts on investor calls and in official statements — and how carefully they choose their words.
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