Alphabet, the parent company of Google, reported third-quarter revenue of $127.6 billion, a 25% increase from the same period last year. A standout figure was Google Cloud, which saw its revenue more than double, jumping 103% to $30.7 billion. This explosive growth contrasts with the company’s broader performance, underscoring how AI is becoming the primary engine for its cloud division.
“Our AI infrastructure and solutions are the major drivers for Cloud growth, and our customers see us as the leading provider here, so there’s huge demand,” Alphabet CEO Sundar Pichai stated during the earnings call. He added that the company is “working hard to bring more capacity online to meet this long-term demand.”
To meet this demand, Alphabet is undertaking unprecedented spending. The company reported capital expenditures of approximately $51.4 billion in the third quarter, more than double the amount spent a year earlier. Looking ahead, Chief Financial Officer Anat Ashkenazi projected that total capital expenditures for the current year will fall between $195 billion and $205 billion. She also warned that the rapid expansion could lead to near-term margin pressure for Google Cloud, largely because the company is relying on third-party computing capacity to bridge the gap between current supply and surging demand.
Microsoft posted similar trends, with its fiscal first-quarter revenue rising 19% to $92.3 billion. Microsoft Cloud revenue grew by 30% to $63.9 billion, while the Azure cloud business specifically reported revenue growth of 48%. The company’s commercial remaining performance obligation—a metric representing contracted future revenue that has not yet been recognized—climbed 73% to $677 billion, indicating a substantial backlog of committed business.
The financial reports from both companies illustrate the scale of the infrastructure race. The “billions of dollars” being poured into servers, data centers, and networking equipment is not merely an operational cost but a strategic bet on the long-term viability of AI. For Alphabet, the jump in capital expenditure to over $50 billion in a single quarter signals a structural change in its spending habits, moving from maintenance and gradual upgrades to aggressive expansion.
However, the rapid pace of deployment presents challenges. Ashkenazi’s comments on margin pressure suggest that the supply chain for high-performance computing hardware is strained. By relying on third-party capacity, Alphabet may face higher costs or reduced control over its infrastructure, which could impact profitability in the near term even as top-line revenue grows.
For Microsoft, the 73% increase in remaining performance obligations suggests that customers are locking in multi-year contracts for AI and cloud services. This provides revenue visibility but also commits the company to maintaining the infrastructure to deliver on those promises. The 48% growth in Azure revenue further confirms that enterprise adoption of AI tools is translating directly into cloud spend.
These earnings calls serve as a benchmark for the broader tech industry. The distinction between announced capacity and available capacity is becoming critical. While both companies claim strong demand, the ability to physically deploy and power the necessary hardware remains the bottleneck. The figures suggest that the era of AI growth is no longer defined by model releases alone, but by the physical capacity to serve them.
As both companies navigate these costs, investors and analysts will watch closely for any shifts in margin profiles and the speed at which new data centers come online. The next quarter’s results will likely reveal whether the massive capital injections are yielding efficient returns or if the cost of serving AI workloads continues to outpace revenue growth.
