Microsoft heads for its worst quarter since 2008 amid AI spending and pressure on software

Microsoft is heading toward its worst quarter on the stock exchange since the end of 2008. By March 27, 2026, the company's shares have dropped roughly a quarter since the start of the year, and the market is increasingly pressing the question: when will the multibillion-dollar bet on AI start paying off.

Why Stocks Have Declined

The problem for Microsoft right now is twofold. On one hand, the company continues to sharply increase spending on AI infrastructure — data centers, servers, computing power rental, and everything needed to compete with other hyperscalers. On the other hand, investors are increasingly concerned that generative AI will begin eroding value from Microsoft itself: some clients may purchase AI tools directly from OpenAI, Anthropic, and other providers rather than through the company's traditional corporate software.

On the market, this already looks like a reassessment of previous expectations. In the first quarter of 2026, Microsoft's shares fell roughly 25%, and this is one of the weakest performances among mega-tech companies. For investors, the signal is unpleasant also because Microsoft long considered itself one of the most reliable bets on the AI boom: it has Azure, corporate distribution, its own products, and a tight integration with OpenAI. But now a story about leadership alone is no longer sufficient — the market demands visible financial results.

The Expensive AI Bet

Wall Street is increasingly unwilling to wait patiently. Even investors who believe in Microsoft's long-term victory are looking at the scale of capital expenditures and want to understand where revenue acceleration is coming from. The focus is on Azure and Copilot. Cloud business growth has slowed slightly compared to the previous quarter, and Copilot has yet to show the user adoption that could quickly justify the current level of investments. That is why any new AI promise is now evaluated not by presentations, but by numbers.

• Approximately 25% stock decline from the start of 2026 to March 27
• Capital expenditure forecast for fiscal year 2026 — approximately $146 billion
• This is roughly 66% higher than 2025's level of $88 billion
• Average expectations for 2027 and 2028 — $170 billion and $191 billion
• Azure is slowing, and Copilot still has not shown steady demand

A large investment program would not be a problem in itself if the market saw a clear performance gap between Microsoft and competitors. But now shareholders see something else: spending has already skyrocketed, while confidence in near-term monetization remains limited. That is why stocks, which previously traded at a premium for quality and scale, have begun to rapidly lose this protective buffer. The stock already looks cheaper than historical levels, but low valuation alone does not reverse sentiment if the business still needs to prove returns on spending.

Pressure on Software

A separate risk lies not only in the cost of the AI race, but also in how it is changing the software market. If Microsoft previously won by bundling services into Office, Windows, Dynamics, and the cloud, then now part of the value may shift to independent AI platforms and agents. This is no longer theoretical: investors are discussing a scenario where a client pays not Microsoft, but directly the model provider or AI service provider, which means pressure is coming on both prices and margins.

"There is a risk that some clients will go directly to AI vendors rather than to

Microsoft."

The paradox is that Wall Street consensus remains very positive: the overwhelming majority of analysts still recommend buying Microsoft stock and expect significant growth over the next year. But that is exactly what is frustrating skeptics. In their view, the company has faced not abstract fears about AI, but a set of quite operational tasks: it needs to accelerate Azure, fix Copilot, strengthen its own models, and simultaneously defend its core software business from new competition. The debate is no longer about the idea of AI itself, but about execution speed.

What This Means

The Microsoft story shows that the AI market has entered a more demanding phase. Investors are no longer willing to pay purely for the scale of ambitions and high-profile partnerships: now big tech is expected to provide proof that massive infrastructure investments deliver revenue growth and do not undermine the core business. For Microsoft, this is a quarter of testing execution, not promises.