1. Azure Growth, Specifically the AI Slice
Azure is the engine of Microsoft's AI ambition, and its growth rate is the single most important number in the entire report. Analysts watch for the headline percentage growth of 'Azure and other cloud services'—recently guided in the 39-40% range. But
the real story is the commentary on what's driving it. During the earnings call, listen for executives to quantify how many percentage points of that growth are attributable to AI services. This tells you if the AI demand is truly accelerating or if it's just riding the coattails of general cloud migration. A strong number here validates Microsoft's massive infrastructure bet.
2. The AI Revenue Run Rate
Microsoft has started disclosing an 'AI annual revenue run rate,' a forward-looking estimate based on current performance. This figure, which recently surpassed $37 billion, bundles revenue from various AI services. Its growth rate is a direct measure of monetization. A 123% year-over-year jump, as seen recently, shows that customers are not just experimenting but are paying for AI at scale. Stagnation or a significant slowdown in this number would be a major red flag, suggesting the initial hype isn't converting into durable revenue.
3. Copilot Paid Seat Count
Microsoft 365 Copilot is the company's frontline AI product, aimed at hundreds of millions of office workers. The key metric here is the number of 'paid seats.' The company recently reported surpassing 20 million paid seats, a figure that shows its ability to upsell its massive existing customer base. Watch the quarter-over-quarter growth. Is it accelerating as companies move from pilots to full-scale deployments? While 20 million is a huge number, it's still a fraction of the over 450 million commercial Microsoft 365 seats available, representing massive room for growth.
4. Capital Expenditures (CapEx)
CapEx is the clearest signal of Microsoft's conviction in future AI demand. This is the money spent on data centers, servers, and especially the GPUs needed to power AI models. Investors have been spooked by the massive numbers, with planned spending for calendar year 2026 reaching around $190 billion. The key is to compare CapEx growth to Azure's revenue growth. If spending is growing much faster than revenue for too long, it puts pressure on margins. However, management argues this spending is to meet already-contracted demand, not speculative build-out.
5. Cloud Gross Margin Pressure
AI is expensive to run. Training and running large models consumes enormous computing power, which eats into profit margins. Microsoft Cloud's gross margin percentage is a critical health indicator. The company has guided for this to decline as AI investments and usage ramp up. The signal to watch is whether the company can offset this pressure with 'efficiency gains' from its own custom chips (like Maia) or better software optimization. If margins stabilize or improve despite high AI usage, it means Microsoft is building a sustainable AI business model.
6. Commercial Remaining Performance Obligation (RPO)
RPO is the secret weapon for understanding future growth. It represents contracted future revenue that has not yet been billed—think of it as a backlog of signed deals. Microsoft's commercial RPO recently hit a staggering $627 billion. A strong RPO demonstrates that the massive CapEx spending is backed by real customer commitments. It provides a powerful counter-narrative to fears of over-investment, showing that the company is building capacity to fulfill deals it has already closed, which de-risks the spending significantly.
7. Search and News Advertising Revenue
Don't forget Bing. The integration of AI into Microsoft's search engine was one of its first major consumer-facing AI plays. Growth in 'Search and News advertising revenue' is a direct signal of whether the AI-powered Bing is successfully chipping away at Google's dominance. A consistent double-digit growth rate, like the 12% recently reported, indicates that the AI features are attracting users and, more importantly, advertisers. It’s a smaller part of Microsoft’s empire, but a telling one about its ability to compete in consumer AI.
8. Commentary on Custom Silicon
Listen for any mention of Microsoft's custom AI chips, like the 'Maia' accelerator. The company's long-term ability to control AI costs and performance depends on reducing its reliance on third-party hardware. Updates on the deployment and performance of these chips are a signal of its progress toward a more vertically integrated and cost-efficient AI stack. Partnerships, like the one with AMD, also signal a strategy to diversify its hardware supply chain and manage costs, which is crucial for long-term profitability.
9. Dynamics 365 and LinkedIn Growth
Finally, look at the business applications that are being infused with AI. Dynamics 365 (Microsoft's suite of ERP and CRM tools) and LinkedIn are both key platforms for Copilot integration. Revenue growth in these segments shows whether AI features are driving adoption and creating more value. For example, strong growth in Dynamics 365, which recently grew 22%, suggests that AI-powered features are a compelling reason for customers to choose or expand their use of Microsoft's business software over competitors.
