Microsoft Extends Data Center Lifespans as AI Costs Surge
Generative AI demand has driven Microsoft to expand the data centers, power capacity and advanced chips underpinning Azure, even as the buildout weighs on cash flow and cloud margins. Extending the accounting life of those facilities spreads depreciation over more years and reduces annual expenses, helping soften the reported impact of infrastructure investment. It does not, however, lower the cash Microsoft must spend, keeping returns on AI capital under close investor scrutiny.
Microsoft said on July 29 that revenue rose 18% to $90 billion in the quarter ended June 30, 2026, while capital expenditures jumped 70% to $41 billion. Azure revenue grew 43% in the quarter and exceeded $100 billion for the full fiscal year for the first time. The company extended the useful life of office and data center buildings to 25 years from 15 and forecast $175 billion of reported capital expenditures for calendar 2026.
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The history behind this eventMicrosoft AI Revenue Doubles, but Infrastructure Expansion Faces Challenges
Microsoft is turning generative AI into a cloud growth engine, using Azure AI and Microsoft 365 Copilot to expand paid enterprise demand. According to its latest 2026 earnings report, annualized AI revenue has surpassed $37 billion. Whether that growth continues to translate into profit will depend on computing capacity, data-center construction and heavy depreciation costs.
Microsoft’s latest quarterly results showed annualized AI revenue rising 123% year over year, while the number of paying Copilot users reached 20 million, helping drive 39% growth in Azure revenue. However, some data-center expansion projects are behind schedule, and the company’s 2026 capital expenditure could reach $190 billion. Its forecast for the current quarter was also slightly below market expectations, while competition from Amazon and Google in cloud computing remains intense.
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