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Home Artifical Intelligence

Microsoft Revenue Jumps 17% as AI Drives Unprecedented Growth

by Kingsley Okeke
January 30, 2026
in Artifical Intelligence
Reading Time: 2 mins read
Microsoft Reveals 40 Jobs That AI Will Most Likely Not Replace! NUMBER 22 Will Surprise You

Microsoft reported another quarter of robust financial performance, with revenue reaching $77.7 billion and growing 18% year-over-year, or 17% in constant currency, as the tech giant’s massive investments in artificial intelligence continue to pay dividends across its product portfolio.

The Redmond-based company’s operating income surged to $38.0 billion, up 24% year-over-year, demonstrating that AI isn’t just driving top-line growth but also improving operational efficiency.

Azure Powers the AI Engine

The star performer remains Microsoft’s cloud computing platform Azure, which grew 40% during the quarter. CEO Satya Nadella emphasised that Azure surpassed $75 billion in revenue for the full fiscal year 2025, up 34%, with growth accelerating as enterprise customers rush to adopt AI-powered services.

What’s particularly striking is the nature of this AI revenue. Nadella revealed the company is on track for $10 billion in annual revenue from AI inference, noting “it’s all inference” rather than training workloads. The CEO explained that Microsoft is actually turning away requests to use their GPUs for training because demand for inference is so overwhelming.

Microsoft Cloud revenue reached $49.1 billion and increased 26%, with the company’s commercial remaining performance obligation jumping 51% to $392 billion, signalling sustained demand well into the future.

Copilot Gains Traction

Microsoft’s AI assistant Copilot is rapidly becoming embedded across the company’s product ecosystem. Microsoft 365 Commercial revenue increased 17%, driven partly by growing adoption of Copilot features integrated into productivity tools.

The company reported 900 million monthly active users of AI features across Microsoft’s products, demonstrating the breadth of AI integration. Dynamics 365 revenue increased 18%, partly fueled by AI-enhanced business applications.

Massive AI Infrastructure Spending

Microsoft’s confidence in AI’s potential is evident in its capital expenditure strategy. The company spent nearly $35 billion in the quarter on capital expenditures to support AI and cloud demand, with nearly half allocated to computer chips and much of the rest to data centre real estate.

This represents a dramatic increase from the previous year. CFO Amy Hood indicated that capital spending will continue to grow sequentially, with fiscal year 2026 growth rates expected to exceed those of fiscal year 2025.

Nadella noted that Microsoft now has data centers in more than 60 regions around the world, with recent infrastructure investments in Brazil, Italy, Mexico, and Sweden helping expand capacity.

The OpenAI Factor

Microsoft’s partnership with OpenAI continues to shape its AI strategy, though it also impacts reported earnings. The OpenAI investments resulted in a decrease in net income of $3.1 billion for the quarter.

However, on a non-GAAP basis, excluding OpenAI impacts, net income reached $30.8 billion, up 22%, demonstrating the underlying strength of Microsoft’s core business.

Strong Momentum Across All Segments

Beyond cloud and AI, Microsoft showed strength across its business units. The Productivity and Business Processes segment generated revenue of $33.0 billion, increasing 17% year-over-year, while LinkedIn revenue grew 10%.

Commercial bookings growth reached 112% in constant currency, representing a dramatic acceleration that signals strong enterprise commitment to Microsoft’s platform. Cash flow from operations reached $45.1 billion, up 32%, with free cash flow increasing 33% to $25.7 billion.

Leadership in an Era of Scarcity

Microsoft provided guidance for the second quarter, expecting revenue between $79.5 billion and $80.6 billion, representing growth of 14% to 16%. Azure revenue growth is projected at approximately 37% in constant currency, though this reflects some moderation due to capacity constraints in power, data centre space, and GPUs.

As competitors race to catch up, Microsoft’s early and aggressive investment in AI infrastructure, combined with its successful integration of AI across its vast product portfolio, has created a formidable moat.

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