【US Stock Giant In-depth】Microsoft: Market Bets on Azure, the Real Variable is AI Capital Expenditure Return Rate

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Bitget2026/07/28 11:34

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Highlights of the Week

【US Stock Giant In-depth】Microsoft: Market Bets on Azure, the Real Variable is AI Capital Expenditure Return Rate image 0

The biggest focus for US tech stocks this week is whether Microsoft's July 29 post-market earnings report can reignite the AI trade. The mainstream market consensus is still betting on Azure growth and Copilot commercialization, but I believe the underestimated variable is whether AI capital expenditure is shifting from a growth story to a cash flow stress test. Today, we break down Microsoft from three dimensions: fundamentals, industry chain, and technicals.

Macro Background

Microsoft’s earnings release coincides with the July 28-29 FOMC meeting window, and the interest rate path will directly impact the discount pricing of high-valuation tech stocks. If the Federal Reserve sends a hawkish signal, the market's tolerance for forward-looking AI returns will decrease, and valuations of the cloud computing, software, and semiconductor sectors may all come under pressure. The market has already priced in Microsoft Azure's continued benefit from AI workloads, but what hasn't been fully priced in is whether, after high capex, revenue growth, gross margin, and free cash flow can still remain balanced.

Earnings Focus

Microsoft will hold its FY2026 Q4 earnings call on July 29. The management's statements on Azure, AI infrastructure investment, and FY2027 capex will be more important than single-quarter EPS figures. There are three core variables driving this earnings report: first, can Azure's growth rate demonstrate that AI workloads are still scaling; second, is Copilot moving from a "strategic story" into a clearer commercialization stage; third, do AI data center investments continue to intensify pressure on depreciation, cash flow, and profit margins.

Industry Chain Position

In the industry chain, Microsoft sits at the core between AI infrastructure and enterprise software. Upstream, it relies on NVIDIA GPUs, servers, data centers, power, and network equipment; downstream, it partners with enterprise clients, developers, and the OpenAI ecosystem. Its strengths lie in strong customer stickiness and software distribution power, while its weakness is that the rising cost of AI infrastructure may outpace the speed of revenue realization. In a nutshell: Microsoft remains one of the strongest AI cloud computing players, but AWS, Google Cloud, and Meta's self-built model ecosystems are all competing for the same pool of compute budgets.

Technical Outlook

As of the close on July 27, 2026, MSFT’s latest price is around $389.10, below the 50-day moving average ($398.86) and also below the 200-day average ($435.45). The daily chart is still in a corrective trend and has not truly strengthened. The short-term support is at $380-$382, with stronger support around $370; resistance is first at the round number of $400, and then in the $415-$420 range. If the stock breaks above $400 with increased volume, sentiment may continue to recover before the earnings; if it falls below $380, it indicates that the market is pricing in earnings risk ahead of time.

Trading Strategy

In terms of strategy, I am inclined to stay cautiously bullish before earnings, but not to chase higher prices. A more reasonable entry range would be around $385-$390 with stabilization, while the intraday price should not break below $380 with volume; if the price rises to above $400 but lacks volume, it is not suitable for heavy positions. Regarding leverage, volatility will significantly expand before the earnings, so under 20x leverage is more suitable for short-term trading, and higher leverage should be used only for intraday trades, not for holding positions overnight to bet on earnings.

Stop-loss can be set below $378, with the first target at $405-$410. If earnings confirm an acceleration in Azure and capex guidance does not further deteriorate, the second target can be set at $420-$425. However, if the earnings show ongoing upgrades to AI investment while Azure growth is not strong enough, the stock price could retest $370 or even $360. Therefore, this trade is more suitable for an event-driven swing in the 1-3 days before earnings, rather than betting early on a post-earnings one-way trend.

【US Stock Giant In-depth】Microsoft: Market Bets on Azure, the Real Variable is AI Capital Expenditure Return Rate image 1

Risks and Conclusion

There are two major uncertainties this week: first, whether the FOMC statement will suppress tech stock valuations; second, whether Microsoft’s AI capex in the earnings report will continue to exceed market expectations. The core conclusion is: Microsoft is not lacking in growth, but the market is now beginning to question the cost of that growth. Whether Azure can cover AI investments is the real key to this earnings report.

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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【US Stock Giant In-depth】Microsoft: Market Bets on Azure, the Real Variable is AI Capital Expenditure Return Rate

Highlights of the Week

Macro Background

Earnings Focus

Industry Chain Position

Technical Outlook

Trading Strategy

Risks and Conclusion

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