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Home Cloud

Microsoft Cloud Growth Jumps As Azure Gives AI Spending A Better Answer

Paul Femi Balo by Paul Femi Balo
July 29, 2026
in Cloud, Earnings
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In Brief
  • Microsoft has given Wall Street a stronger reason to believe that the huge money going into artificial intelligence infrastructure is beginning to show up in actual...
  • The company said in its fiscal fourth-quarter earnings release that revenue rose 18 percent to $90.0 billion for the quarter ended June 30, while net income...
  • Diluted earnings per share came in at $4.81 on a GAAP basis, up 32 percent from a year earlier.

Microsoft has given Wall Street a stronger reason to believe that the huge money going into artificial intelligence infrastructure is beginning to show up in actual cloud demand, not just in future promises.

The company said in its fiscal fourth-quarter earnings release that revenue rose 18 percent to $90.0 billion for the quarter ended June 30, while net income climbed 31 percent to $35.8 billion. Diluted earnings per share came in at $4.81 on a GAAP basis, up 32 percent from a year earlier. On a non-GAAP basis, excluding the impact of investments in OpenAI, Microsoft said EPS was $4.74.

The number investors were really watching was Azure. Microsoft said Azure and other cloud services revenue increased 43 percent, a pace that was stronger than many analysts expected and faster than the prior quarter. That matters because Microsoft has been spending aggressively on data centres, GPUs and AI capacity at a time when investors are asking whether Big Tech is building too far ahead of demand.

The broader cloud business also looked strong. Microsoft Cloud revenue reached $59.3 billion, up 27 percent year over year, while commercial remaining performance obligation rose 84 percent to $678 billion. That backlog is useful because it shows that enterprise demand is not only about current usage. Customers are still committing to future cloud and AI workloads even as the cost of running those services remains high.

Intelligent Cloud, the segment that includes Azure, generated $39.3 billion in revenue, up 32 percent. Productivity and Business Processes, which includes Microsoft 365, LinkedIn and Dynamics, brought in $37.8 billion, up 14 percent. More Personal Computing was weaker, falling 4 percent to $12.9 billion as Windows OEM and Devices revenue declined and Xbox content and services also slipped.

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The market reaction was immediate. MarketWatch noted that Microsoft shares rose in extended trading after the Azure growth figure came in ahead of expectations. For a company whose AI story is tied closely to cloud capacity, Copilot adoption and OpenAI-related demand, this was the kind of quarter investors wanted to see.

There is still a tension inside the numbers. AI cloud growth can be very attractive, but it is also capital intensive. The same industry shift has already made power, cooling, land and advanced chips part of the earnings conversation, which is why the debate around AI data centres and power strain is now moving from technical circles into boardrooms and investor calls.

Microsoft is in a better position than many rivals because it can monetize AI through several routes at once. Azure sells the compute layer, Microsoft 365 Copilot sells productivity software, GitHub Copilot speaks directly to developers, and newer work like MAI-Cyber-1-Flash shows how the company is pushing AI into security as well. The problem is not whether Microsoft has enough AI products. The harder question is whether margins can stay healthy while the infrastructure bill keeps growing.

For now, this quarter gives Microsoft a cleaner answer than most. Revenue beat expectations, profit rose sharply, Azure accelerated, and the commercial cloud backlog remains large. That does not end the AI spending debate, but it makes the case that Microsoft is not just buying hardware for a future that may or may not arrive. A large part of that future is already running through Azure.

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Paul Femi Balo

Paul Femi Balo

Paul Femi Balo is the founder and publisher of TechBooky. He covers artificial intelligence, African technology, digital infrastructure, enterprise technology and the global digital economy.

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