Veteran Bank Cuts Microsoft Stock Price Target on AI Spending Concerns

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Veteran Bank Cuts Microsoft Stock Price Target on AI Spending Concerns Nauman Khan Fri, June 26, 2026 at 7:37 AM EDT 1 min read MSFT This article first appeared on GuruFocus . Microsoft ( NASDAQ:MSFT ) could face increasing pressure on profitability as artificial intelligence-related infrastructure spending continues to rise, according to a research note issued by Stifel on Wednesday. Stifel analyst Brad Reback lowered his price target on Microsoft to $400, citing concerns that current Wall Street forecasts may not fully account for the financial impact of expanding AI and cloud infrastructure investments, according to a Wednesday research note. Warning! GuruFocus has detected 2 Warning Sign with MSFT. Is MSFT fairly valued? Test your thesis with our free DCF calculator. The analyst said Microsoft is likely to experience margin pressure as it scales Azure and other AI services. Reback projects fiscal 2027 gross margin of about 63%, below the broader analyst consensus estimate of 66.5%. He attributed the gap largely to higher capital expenditures and depreciation costs tied to building and operating AI-focused data centers. Stifel also said consensus earnings estimates for fiscal 2027 may be too high. The firm pointed to rising finance lease obligations, continued operating expense growth, and ongoing infrastructure investments as factors that could weigh on future earnings performance.

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Stifel cut Microsoft's price target to $400 and warned that increased investment in AI-related infrastructure will weigh on profitability and margins. The analyst projects a gross margin of about 63% for fiscal 2027, below consensus (66.5%), and pointed to higher capital expenditures, depreciation and finance leases as pressures on earnings. These observations could lead to a valuation re-rating and downward earnings revision risk for MSFT, while also creating demand benefits for data center, GPU and infrastructure equipment suppliers. Investors should reassess sector exposures to distinguish the beneficiaries from those that will bear the burden of expanded AI investment.

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