In May 2026, Microsoft (NASDAQ: MSFT) closed with a 10.4% gain, outperforming the S&P 500’s 5.2% and the Nasdaq Composite’s 8.4% increases for the same period. Renewed optimism for the tech giant was fueled by the ongoing AI boom and Microsoft’s better-than-expected Q3 earnings. However, the rally abruptly reversed in June. On June 2, Microsoft’s stock dropped 4.17% in a single day to $441.31, followed by another 3.17% decline to $427.34 on June 3. By the close on June 8, shares had fallen to $411.74, marking an 8.55% drop for June and a 14.86% decline year-to-date. The optimism of May and the pullback in June were separated by just one full earnings digestion cycle.
Azure AI Grows Over 40%: Can $37 Billion in Annualized Revenue Keep Lifting the Market?
From a fundamentals perspective, Microsoft’s business performance doesn’t justify such a steep stock correction. In fiscal Q3 2026 (ending March 31, 2026), Microsoft reported revenue of $82.9 billion, up 18% year-over-year, and net income of $31.8 billion, up 23%. The Intelligent Cloud segment stood out, generating $34.7 billion in revenue—a 30% increase—with Azure and other cloud services growing 40% year-over-year (39% at constant currency).
Azure’s growth is primarily driven by AI workloads and the expansion of enterprise cloud infrastructure. In Q3, Microsoft’s AI business reached a $37 billion annualized revenue run rate, up 123% year-over-year. Azure AI Foundry now serves over 80,000 customers, including 80% of the Fortune 500, and the platform offers more than 11,000 AI models. Analysts expect Azure AI revenue for calendar year 2026 could hit around $25.7 billion, up from previous estimates of $21.8 billion. If realized, this would push Azure’s total revenue growth rate to about 41%. Cowen projects Azure AI’s compound annual growth rate at roughly 145% for fiscal 2026, with overall Azure revenue growth accelerating from about 33% in 2025 to 35% in 2026.
It’s worth noting that Evercore’s recent report highlighted the absence of clear reacceleration signals for Azure. Rising capital expenditures and questions around Copilot’s ROI are keeping investors cautious. A more pronounced acceleration in Azure’s growth is expected to emerge only in the second half of 2026. Following Microsoft’s Q3 earnings release, the stock did not move higher—instead, it saw a notable short-term decline. This divergence points to a core issue: the market is increasingly concerned about the mismatch between massive capital spending on AI infrastructure and the short-term return cycle. Microsoft’s heavy capex means margin pressure in the near term, while on the revenue side, investors need greater visibility to confirm that the $37 billion annualized AI revenue will ultimately translate into predictable free cash flow growth.
Copilot Surpasses 20 Million Paid Seats: Real Penetration and Potential Bottlenecks
Copilot, Microsoft’s flagship enterprise AI productivity tool, is experiencing rapid customer expansion. As of the end of April 2026, Microsoft 365 Copilot had surpassed 20 million paid enterprise seats—a 33% increase from 15 million just three months prior. Microsoft highlights that weekly user engagement is now approaching the intensity of enterprise email usage, with per-user query volume up nearly 20% quarter-over-quarter. In terms of customer structure, companies like Bayer, Johnson & Johnson, Mercedes, and Roche each have over 90,000 paid seats, while Accenture has deployed 740,000 seats, indicating that large organizations are moving from small-scale pilots to full-scale rollouts.
However, within Microsoft’s broader M365 commercial user base—about 450 million users—Copilot’s penetration remains in the early stages. Paid Copilot seats account for roughly 3.3% of total M365 users. Microsoft emphasizes that the growth trajectory is what matters: Copilot paid seats are growing at over 100% year-over-year, with early adopters expanding deployments. Still, two key variables remain for assessing Copilot’s long-term value. The first is sustained active usage. Infosys, the Indian IT giant, reports that over 91% of its Copilot users are active monthly; TCS sees 86% daily active usage; Wipro reports more than 95% monthly active Copilot users, generating about 7.5 million prompts per month. These figures come from large, tech-integrated enterprises, but the market questions whether such high engagement can be replicated more broadly. The second variable is product maturity. A survey of 1,000 enterprise generative AI users found that while Microsoft Copilot leads with a 45.3% adoption rate as a standard enterprise tool (compared to ChatGPT’s 45.0%), over 80% of respondents believe its functionality and accuracy have yet to reach practical, enterprise-grade levels.
In summary, Copilot’s customer base is growing rapidly and sustainably. However, whether enterprises’ willingness to pay can support further ARPU growth, and whether high churn rates will emerge during economic downturns, remain key risk factors to monitor in the coming quarters.
OpenAI IPO and Microsoft’s Valuation Decoupling: Risk or Opportunity?
OpenAI’s IPO trajectory is becoming a marginal variable in Microsoft’s valuation, but its impact is more complex than a simple dilution effect—it involves a broader reassessment of value. OpenAI confidentially filed for an IPO in 2026, targeting a valuation between $730 billion and $850 billion, with Goldman Sachs and Morgan Stanley as underwriters.
Microsoft’s economic interest in OpenAI is as follows: since 2019, it has invested about $13 billion, and after OpenAI’s October 2025 restructuring into a public benefit company, Microsoft holds a 26.79% economic stake on a fully diluted basis. In the nine months ending March 31, 2026, Microsoft recorded $5.9 billion in net gains from its OpenAI investment, a sharp contrast to a $2.7 billion net loss in the same period a year earlier. This shift wasn’t due to sudden OpenAI profitability, but rather accounting gains from valuation increases outpacing share dilution during the restructuring. In February 2026, OpenAI raised $11 billion at a pre-money valuation of $730 billion, later increasing to $12.2 billion, with a post-money valuation of $852 billion. At this valuation, Microsoft’s 26.79% stake is worth about $228.3 billion—a roughly 17.6x return on its $13 billion investment.
However, OpenAI’s financial structure and governance also introduce constraints and risks. OpenAI is expected to lose about $14 billion in 2026, with internal forecasts projecting cumulative losses of $44 billion from 2023 to 2028, and profitability not expected until 2029. This means that while the IPO is a major mark-to-market benefit for Microsoft, OpenAI’s ongoing losses will continue to impact Microsoft’s income statement under the equity method of accounting. On governance, OpenAI’s nonprofit parent, the OpenAI Foundation, holds about 26% equity but controls board appointments. Microsoft, despite owning roughly 49% equity, has no special voting rights or governance control. After the IPO, if competition intensifies or strategic differences arise, Microsoft’s ability to adjust its strategy will be limited by this structure. OpenAI’s IPO filings also list Microsoft as a "primary risk factor," noting that its success depends on building relationships beyond Microsoft.
In short, OpenAI’s IPO is a significant short-term boost to Microsoft’s net asset value. But in the medium to long term, dilution isn’t the main issue—the real variable is how Microsoft maintains its AI model competitive edge without exclusive control over OpenAI, and how it manages the ongoing losses’ impact on its consolidated financials.
Gate Launches Stock Trading: A Structural Bridge from Crypto to US Equities
Against the backdrop of deepening ties between crypto assets and the AI industry, Gate has officially launched stock trading, expanding its offerings from digital assets to major US equities. This move creates a cross-asset trading gateway for investors. As one of the most influential tech stocks in the Nasdaq Composite, Microsoft is among the first core listings on Gate’s stock trading platform, drawing significant attention. Now, crypto users can seamlessly shift from Bitcoin to MSFT allocations within a single account, enabling more flexible portfolio management during periods of macro uncertainty.
Gate’s stock trading stands out in three key areas. First is trading depth and liquidity: leveraging Gate’s daily trading volume—often in the billions of dollars—the platform delivers order book depth and matching efficiency on par with professional brokerages. Second is asset allocation flexibility: users can switch between crypto and US equities in real time, capturing cross-market arbitrage and hedging opportunities driven by AI sector volatility. For example, investors can use spot and derivatives strategies around Microsoft’s earnings to pursue event-driven trades. Third is security and compliance: Gate’s stock trading adheres to strict fiat and asset segregation protocols, providing a trading environment that meets international regulatory standards.
Trading Microsoft stock on Gate is straightforward: users log in and complete KYC verification, navigate to the "Stock Trading" section, convert fiat or compliant stablecoins to USD cash balance, then place market or limit orders on the MSFT/USD pair to open or close positions. This process brings the familiar spot trading experience of crypto seamlessly to US equities, dramatically lowering the barriers and friction associated with traditional cross-border securities accounts.
Conclusion
Microsoft’s swing from a 10% rally in May to an 8%+ pullback in June, despite solid fundamentals, reflects the market’s ongoing recalibration of AI valuation logic. Azure AI’s growth rate above 40% and $37 billion in annualized revenue confirm robust demand for AI cloud services. Copilot, with over 20 million paid seats, is transitioning from a growth story to a mainstream enterprise tool. The OpenAI IPO, while delivering substantial financial returns to Microsoft, also signals the marginal erosion of exclusivity and ongoing governance constraints.
As capital expenditure cycles, customer monetization, and model dependency risks converge in the valuation equation, the market is unlikely to award the same premium simply because AI revenues are still rising. Over the next one to two quarters, Microsoft’s key focus areas are: first, whether Azure’s capacity bottlenecks can be resolved in the second half of the year to unlock further AI revenue; and second, whether Copilot’s long-term retention and expansion rates can drive a structural ARPU increase. Until these variables become clear, the current pullback looks more like a rational revaluation than a wholesale rejection of the AI narrative.
Gate’s timely launch of stock trading offers investors a flexible tool to allocate between crypto assets and tech stocks. As the fundamentals and valuation of the AI sector search for a new equilibrium, having the ability to manage both asset classes for trading and hedging is becoming an essential part of the modern investment infrastructure.
