Forget Earnings Per Share, Follow the Ca-What?
The single most important number for understanding Google's AI ambitions isn't revenue or profit. It’s capital expenditure, or CapEx. This is the money Alphabet spends on physical assets like land, buildings, and, most importantly, the foundational hardware
for AI: servers and custom-designed chips. For 2026, Alphabet has guided its CapEx to a staggering $180 to $190 billion, a massive increase from previous years. An AI analyst sees this number and doesn't just see spending; they see the construction of a technological empire. This spending is directly tied to building and equipping the massive data centers required to train and run advanced AI models like Gemini. It’s the clearest signal of how aggressively Google is competing with Microsoft, Amazon, and Meta in the AI arms race.
Watch the Cloud for Clues
While CapEx shows the investment, the Google Cloud segment shows the monetization. This is the division that sells AI services, computing power, and infrastructure directly to other businesses. When analysts dissect the earnings report, they look for two things here: revenue growth and operating margin. For example, Google Cloud's revenue surged 63% in the first quarter of 2026, hitting $20 billion for the first time. This kind of explosive growth tells an analyst that enterprise demand for Google's AI tools is strong and accelerating. An increasing operating margin on top of that indicates that Google is getting more efficient at delivering these services, turning its massive infrastructure spend into actual profit.
The Backlog Is a Crystal Ball
Revenue tells you what happened last quarter, but the backlog tells you what's coming next. The backlog, or remaining performance obligations, represents contracts for future services that have been signed but not yet delivered. In early 2026, Google Cloud's backlog nearly doubled from the previous quarter to over $460 billion. An AI analyst looks at that figure as a powerful indicator of long-term, locked-in demand. It provides a level of certainty that revenue will continue to flow for years to come as these contracts are fulfilled, underpinning the enormous CapEx investments being made today.
Listen for the ‘Dog Whistles’ on the Call
The numbers only tell part of the story. The rest comes from the earnings call, where executives add color and context. An AI analyst listens for specific keywords and phrases. When CEO Sundar Pichai highlights growth in “enterprise AI solutions” or the “full stack approach,” it confirms the company’s strategic focus. They also listen for any mention of Google's custom Tensor Processing Units (TPUs). Commentary on TPU efficiency or deployment signals how Google is managing its costs and leveraging its unique in-house hardware advantage. Even a decline in free cash flow, which fell in early 2026, is interpreted in this context; it’s seen as a direct consequence of the company plowing money into its AI future.
