Microsoft: AI Is Turning Into Real Earnings Growth
Updated: Sep 4
Summary
I rate Microsoft Corporation a Strong Buy because the company is demonstrating that its enormous investment in artificial intelligence is translating into measurable revenue and earnings growth. Azure surpassed $100 Bn in annual revenue, Microsoft 365 Copilot exceeded 30 Mn paid seats, Foundry revenue more than doubled, and demand for Azure continues to exceed Microsoft's available capacity.
Microsoft's growth is increasingly supported by three interconnected engines: Azure and AI infrastructure, enterprise adoption of Copilot and AI agents, and an ecosystem that allows the company to monetize AI across cloud computing, productivity software, development tools, databases, security, and business applications.
Financial performance remains exceptionally strong. Fiscal 2026 revenue increased 18% to $331.8 Bn, operating income increased 21% to $155.2 Bn, and diluted EPS increased 32% to $17.95 on a GAAP basis. Fourth-quarter revenue reached $90.0 Bn, while Azure and other cloud services grew 43%.
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Publication Date | 12 Aug 2026 |
Purchasing Price | $492.43 |
Microsoft's Investment Thesis
I rate Microsoft Corporation (NASDAQ: MSFT) a Strong Buy because I believe the company has reached an important stage in the artificial intelligence investment cycle. Microsoft is no longer simply spending billions of dollars preparing for a future AI opportunity. The company is increasingly demonstrating that AI infrastructure and products are generating measurable revenue today. Azure is accelerating, Copilot adoption is expanding across some of the world's largest enterprises, Foundry is becoming an important platform for building AI applications and agents, and Microsoft's enormous installed enterprise customer base provides multiple ways to monetize the same underlying AI infrastructure.
According to Microsoft's Fourth Quarter Fiscal 2026 Results, quarterly revenue increased 18% y/y to $90.0 Bn, while operating income increased 18% to $40.6 Bn. GAAP net income increased 31% to $35.8 Bn, while non-GAAP diluted EPS increased 23% to $4.74. For the full fiscal year, revenue reached $331.8 Bn, operating income increased 21% to $155.2 Bn, and GAAP diluted EPS increased 32% to $17.95. These results demonstrate that Microsoft can continue investing aggressively while still delivering substantial earnings growth.
What strengthens my conviction is the visibility behind this growth. Microsoft's commercial remaining performance obligation increased 84% to $678 Bn during the fourth quarter. Even excluding OpenAI, RPO increased 25%. Management also noted that all sequential commercial RPO growth came from customers outside frontier model companies, indicating that demand is broadening across Microsoft's traditional enterprise customer base rather than being dependent on a small number of AI developers.
During the earnings call, CEO Satya Nadella described fiscal 2026 as a record year, noting that Microsoft Cloud surpassed $214 Bn in annual revenue, while Azure exceeded $100 Bn for the first time, growing 41% for the year. More importantly, management expects the momentum to continue. Microsoft is forecasting another fiscal year of double-digit revenue and operating income growth, while Azure is expected to grow approximately 45% in constant currency during Q1 FY2027.
In my view, Microsoft has one of the strongest positions in enterprise AI because it does not need to predict which individual AI model ultimately wins. Whether customers choose OpenAI, Anthropic, Mistral, Microsoft's own models, or another provider, Microsoft can monetize the infrastructure, databases, developer tools, security products, and enterprise applications needed to build and operate those AI systems. That makes Microsoft less dependent on a single AI product and more exposed to the growth of the entire ecosystem.
Business Overview
Microsoft is one of the world's largest technology companies, providing cloud computing, productivity software, enterprise applications, operating systems, gaming, advertising, cybersecurity, developer tools, and artificial intelligence services. The company reports through three operating segments: Productivity and Business Processes, Intelligent Cloud, and More Personal Computing.
Productivity and Business Processes includes Microsoft 365, Microsoft 365 Copilot, LinkedIn, Dynamics 365, Teams, Power BI, and other enterprise productivity products. Intelligent Cloud includes Azure, GitHub, server products, databases, and enterprise services, while More Personal Computing includes Windows, Xbox, devices, and search advertising. This broad product portfolio gives Microsoft one of the largest enterprise distribution networks in technology.
This diversification is important to my investment case because Microsoft can integrate AI across products customers already use. Instead of asking enterprises to adopt an entirely new technology platform, Microsoft can introduce AI through Azure, Microsoft 365, GitHub, Dynamics, security products, databases, and Windows. The company can therefore monetize AI at multiple layers of the technology stack, from the datacenter infrastructure running models to the applications employees use every day.
Growth Drivers
Azure and AI Infrastructure Remain the Core Growth Engine
Azure is the most important near-term driver of Microsoft's earnings growth. According to Microsoft's fourth-quarter results, Intelligent Cloud revenue increased 32% to $39.3 Bn, while Azure and other cloud services revenue increased 43%. Management expects Intelligent Cloud revenue to grow another 33% to 34% during Q1 FY2027, with Azure growth accelerating to approximately 45% in constant currency.
More importantly, demand continues to exceed Microsoft's available capacity. During the earnings call, CFO Amy Hood said that this supply-demand imbalance remains in place and explained that when Microsoft improves CPU and GPU efficiency or brings additional infrastructure online, that capacity is being monetized quickly. This suggests that Azure's current growth is not being driven simply by excess datacenter capacity. Microsoft is actively trying to build enough infrastructure to satisfy customer demand.
Microsoft added 31 new datacenters across five continents during Q4, bringing the fiscal-year total to 88. The company also added another gigawatt of capacity during the quarter and remains on track to roughly double overall capacity within two years. At the same time, improvements in hardware deployment reduced the time required to bring new GPUs online by nearly 50% in Microsoft's largest regions. I believe this combination of strong demand, capacity expansion, and improving infrastructure efficiency provides Microsoft with an unusually visible growth runway.
Copilot Is Turning AI Into Recurring Enterprise Revenue
Microsoft's second major growth driver is the commercialization of Copilot across its enormous enterprise customer base. Microsoft 365 Copilot surpassed 30 Mn paid seats during the quarter, while net seat additions more than doubled sequentially. More importantly, adoption is moving beyond small-scale testing. The number of customers with more than 50,000 Copilot seats increased more than sevenfold y/y, while the number of enterprise customers deploying Copilot to the majority of their information workers increased nearly 75% sequentially.
Several deployments demonstrate the scale of this opportunity. NHS England is rolling out Copilot to 505,000 clinicians and staff, KPMG is expanding deployment across more than 276,000 employees, HSBC committed to 200,000 seats, and EY deployed Microsoft's E7 suite to 400,000 employees. These are not experimental deployments involving a few hundred workers. They demonstrate that some of the world's largest organizations are beginning to integrate Microsoft's AI products across significant portions of their workforces.
GitHub provides another important monetization channel. GitHub Copilot has reached 50 Mn users, while Copilot revenue accelerated more than 60% quarter over quarter following the introduction of usage-based billing. Microsoft is also moving beyond traditional per-seat subscriptions by adding consumption-based pricing to several AI products, potentially expanding revenue as customers increase usage.
Microsoft's AI Ecosystem Creates a Powerful Flywheel
The third growth driver is Microsoft's ability to monetize AI across the entire enterprise technology stack. Azure provides computing infrastructure. Foundry allows customers to select, build, customize, and manage models and agents. Fabric provides enterprise data and analytics. Microsoft 365 and Dynamics bring AI directly into business workflows. GitHub provides AI-powered developer tools, while Microsoft's security products help organizations govern and protect their AI deployments.
This integrated approach is already producing meaningful adoption. Microsoft now has 100,000 Foundry customers, and Foundry revenue more than doubled year over year. The number of Foundry customers operating at a one-trillion-token annualized run rate increased fourfold, while nearly 90% of the Fortune 500 are using Foundry, Fabric, and Work IQ to ground AI agents in enterprise context.
Microsoft is also improving the economics of delivering AI. Management said its Maia 200 accelerator delivers 30% better performance per dollar than the latest-generation hardware currently in its fleet. Across applications, Microsoft reported an 89% reduction in GPU costs for certain Dynamics 365 workloads and reductions of up to 84% for PowerPoint AI workloads. These efficiency improvements matter because AI adoption can grow rapidly without requiring computing costs to increase at exactly the same rate.
Valuation
Microsoft's valuation is not cheap in absolute terms, but I believe it remains reasonable given the company's quality, earnings growth, recurring revenue base, and exposure to enterprise AI.
Table 1. Forward Valuation Comparison
Company | FWD EV/EBITDA | FWD P/E | PEG |
Microsoft | 15.48x | 25.41x | 1.54 |
Alphabet | 18.05x | 17.31x | 0.67 |
Amazon | 13.84x | 21.64x | 0.78 |
NVIDIA | 19.98x | 25.04x | 0.41 |
Microsoft trades at 25.41x FWD earnings, above Alphabet's (NASDAQ: GOOGL) 17.31x and Amazon's (NASDAQ: AMZN) 21.64x, while roughly matching NVIDIA's (NASDAQ: NVDA) 25.04x. Its PEG ratio of 1.54 is also higher than all three peers, meaning the stock does not appear particularly cheap relative to expected earnings growth. However, EV/EBITDA provides a more interesting picture. Microsoft's 15.48x FWD EV/EBITDA is below Alphabet's 18.05x and NVIDIA's 19.98x, although above Amazon's 13.84x. I believe Microsoft's premium P/E is justified by the quality and predictability of its earnings, extensive recurring revenue, strong balance sheet, and ability to monetize AI across several established businesses rather than relying on a single growth product. The bigger valuation question is whether Microsoft's extraordinary AI investment will generate sufficient returns.
Capital expenditures have increased dramatically. During FY2026, additions to property and equipment reached $115.9 Bn, compared with $64.6 Bn in FY2025. Yet Microsoft simultaneously generated $182.9 Bn of operating cash flow, up from $136.2 Bn the previous year.
Management expects investment to remain elevated, with FY2027 CapEx expected to increase and Q1 spending expected to exceed $50 Bn. However, demand continues exceeding Azure capacity, and management has demonstrated that newly available capacity is quickly monetized. In my view, this significantly strengthens the case that current spending represents productive growth investment rather than speculative overbuilding.
Key Risks
The biggest risk to my investment thesis is the scale of Microsoft's AI capital expenditure. The company is investing extraordinary amounts in datacenters, GPUs, networking, and other infrastructure. If AI demand slows or customers fail to generate sufficient returns from these technologies, Microsoft could find itself with excess capacity while depreciation and operating costs continue weighing on margins. Microsoft itself identifies substantial cloud and AI investment and the possibility that investments may not achieve expected returns as important risks.
Competition is another important consideration. Azure competes with other hyperscale cloud platforms and emerging AI providers, while Microsoft 365 Copilot, GitHub, security, search, gaming, and enterprise applications all operate in highly competitive markets. Microsoft's ability to maintain its current growth will depend on continued innovation and its ability to provide customers with measurable returns from AI.
There is also margin risk. Microsoft reported a 67% company gross margin during Q4, down year over year as revenue shifted toward Azure and the company continued investing heavily in AI infrastructure. While efficiency gains are helping offset some of these costs, rapid AI consumption requires substantial computing resources and could continue pressuring gross margins.
Finally, regulatory scrutiny remains a long-term risk. Microsoft operates across cloud computing, enterprise software, AI, gaming, cybersecurity, advertising, and operating systems, making it exposed to increasingly complex regulatory requirements across multiple jurisdictions.
Final Thoughts
I believe Microsoft Corporation is a Strong Buy because the company is demonstrating something increasingly important in the AI investment cycle: the ability to convert enormous infrastructure spending into measurable commercial growth. Azure is accelerating, demand continues to exceed capacity, Microsoft 365 Copilot has surpassed 30 Mn paid seats, Foundry revenue has more than doubled, and Microsoft entered FY2027 with $678 Bn of commercial remaining performance obligations. While the valuation and scale of AI capital spending require continued execution, Microsoft's recurring revenue base, strong cash generation, enterprise distribution, and ability to monetize AI across infrastructure, software, data, security, and productivity applications give it one of the strongest competitive positions in technology. For these reasons, I rate Microsoft a Strong Buy
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