1. Azure and Other Cloud Services Growth
This is the big one. While Microsoft's 'Intelligent Cloud' segment is the overall category, the specific growth rate for 'Azure and other cloud services' is the key indicator of its AI infrastructure business. In its most recent quarter, this figure was
a staggering 43%. Investors watch this for acceleration, as it directly reflects demand for the cloud computing power that underpins the entire AI revolution. A high growth rate here suggests that companies are flocking to Microsoft to run their own AI models and services. Since demand is reportedly exceeding capacity, this number is as much a measure of Microsoft's ability to build data centers as it is customer interest.
2. Microsoft 365 Copilot Paid Seats
AI isn't just about infrastructure; it's about software. The number of 'paid seats' for Microsoft 365 Copilot is the clearest metric for the adoption of its flagship AI productivity tool. The company recently reported surpassing 30 million paid seats, a rapid increase from 20 million the prior quarter. This figure tells you how many individual business users are now paying for AI assistance within Word, Excel, and Teams. It's a direct measure of monetization. Investors should track not just the total number, but the rate of growth, as it signals how quickly Microsoft is converting its massive existing Office user base into higher-revenue AI subscribers.
3. Capital Expenditures (CapEx)
This might seem counterintuitive—it's an expense, not revenue—but Microsoft's CapEx is a direct proxy for its confidence in future AI demand. The company is spending colossal sums, with projections for calendar year 2026 previously cited as high as $190 billion and more recent quarterly figures topping $40 billion, primarily to build out its AI data centers. When you hear that customer demand for AI services exceeds capacity, CapEx is the number that shows how aggressively Microsoft is trying to close that gap. While massive spending can spook investors concerned about free cash flow, in the current AI arms race, it’s a sign of ambition and a leading indicator of future cloud revenue growth.
4. Overall Microsoft Cloud Revenue
While the Azure growth rate is specific, the total revenue for 'Microsoft Cloud' provides the big-picture context. This massive number, which hit $59.3 billion in a single quarter, bundles Azure with other commercial cloud services like Office 365. Its growth rate, recently at 27%, shows the overall health of Microsoft's entire enterprise cloud ecosystem. For an AI investor, this demonstrates the company's ability to cross-sell and package AI services within its broader enterprise offerings, creating a powerful, sticky platform that's hard for competitors to challenge.
5. GitHub Copilot Subscribers
While Microsoft 365 Copilot targets business users, GitHub Copilot is aimed at software developers. This tool, which helps programmers write code, has become a key early indicator of professional AI adoption. As of early 2026, it had already reached 4.7 million paid subscribers with significant penetration in large enterprises. This metric is important because developers are often the first to adopt and integrate new technologies. Strong growth in GitHub Copilot subscriptions not only generates its own revenue but also signals that the next generation of software is being built with Microsoft's AI tools, embedding them deeper into the tech ecosystem.
6. Commercial Remaining Performance Obligation (RPO)
RPO, or commercial backlog, is the total value of contracted future revenue that has not yet been recognized. Microsoft's RPO recently surged to an enormous $678 billion. This is a crucial metric for long-term visibility, as it represents a pipeline of future sales. A significant portion of this backlog is tied to large-scale AI deals, including commitments from partners like OpenAI. For an investor, a growing RPO provides a buffer against short-term market volatility and shows that enterprises are signing massive, multi-year deals centered on cloud and AI, locking in future growth.
7. Cloud Gross Margin
Finally, profitability matters. Delivering AI services is incredibly expensive, requiring massive amounts of specialized server capacity. The gross margin percentage for Microsoft's cloud business reveals how profitable these services actually are. Recently, gross margin contracted to 67%, reflecting the high costs of the initial AI buildout. Investors should watch this metric closely. If it starts to stabilize or improve over time, it will be a strong sign that Microsoft has figured out how to deliver AI services not just at scale, but efficiently, turning its huge revenue gains into even stronger profits.
