Alphabet and Microsoft are monetizing different layers of enterprise AI

Two earnings reports, two places where AI money lands

Alphabet and Microsoft are both turning enterprise AI demand into revenue, but not in the same part of the stack. Alphabet’s latest quarter points to infrastructure, with cloud revenue rising as customers buy more compute, storage, and silicon. Microsoft’s latest numbers point to applications, with Azure growth and a large paid Copilot base showing how AI spending is moving into software seats.

That split matters because scale and growth rate do different jobs in this market. Scale tells buyers and investors where the contract dollars are sitting today. Growth rate shows which layer is still expanding fastest. The two companies are reporting both, and the differences are getting easier to read.

Alphabet’s growth is coming through the infrastructure layer

Alphabet reported Google Cloud revenue of $24.8 billion in the quarter, up 82 percent from a year earlier, according to its earnings materials cited by The Verge. The company also disclosed about $514 billion in cloud backlog, a figure that points to a large pool of contracted future business tied to cloud infrastructure.

That combination puts Alphabet in a strong position with enterprise buyers that need raw capacity for AI training and inference. The company is not just selling access to software. It is selling the plumbing underneath it, from data center capacity to the chips and services that support model workloads. In this quarter, that layer is where Alphabet found its growth.

The company also said Gemini reached 950 million monthly users, up from 750 million in February, according to the same earnings report cited by The Verge. That figure speaks to reach, not revenue. Alphabet did not disclose how much of Gemini’s usage is paid, how often users engage, or how much revenue the product generates directly.

Microsoft is taking more of the value at the software layer

Microsoft reported Azure and other cloud services up 43 percent in its latest results, while Microsoft 365 Copilot topped 30 million paid seats, according to the figures in the concept brief. Those numbers point to a different commercial model. Azure captures demand for compute. Copilot captures demand for software that sits on top of that compute and converts it into recurring seat revenue.

For enterprise buyers, that matters because the spending decision is changing. A company may still need cloud infrastructure to run AI workloads, but it is also buying assistant features for employees, workflows for sales teams, and productivity tools that ship inside Microsoft 365. Microsoft’s results suggest it is monetizing both the cloud layer and the application layer, with the software layer carrying a visible share of the AI story.

The company’s $678 billion in commercial remaining performance obligation gives a sense of how much contracted revenue is already in the pipeline. That is larger than Alphabet’s cloud backlog figure, though the two totals are not directly comparable. Microsoft’s RPO covers a wider set of commercial commitments, while Alphabet’s backlog figure is tied to cloud.

Scale and growth rate are not the same thing

The numbers can look similar on a slide and mean very different things in practice. Alphabet’s cloud backlog and Microsoft’s commercial RPO both point to future revenue already under contract. That is scale. Alphabet’s 82 percent Google Cloud growth and Microsoft’s 43 percent Azure growth show how fast the business is moving. That is pace.

Scale matters because it tells investors how much AI-related revenue has already been booked, or is close to being booked, under long-term agreements. Growth rate matters because it shows which company is still adding business at a faster clip. A smaller base can grow faster. A larger base can still produce more dollars. Both numbers matter because one tells the size of the runway and the other tells the speed of the takeoff.

This is why the comparison between Alphabet and Microsoft does not come down to who posted the bigger percentage increase. It comes down to where the revenue is landing. Alphabet is getting more of the benefit in the infrastructure layer. Microsoft is pulling more of it into software and seats.

EPS was also affected by items outside operations

Both companies also reported earnings with non-operating distortions in earnings per share, according to the briefing. That makes the top-line comparison easier to trust than any quick read on bottom-line profit.

For cloud and AI investors, the cleaner question is where contracted demand is flowing. In Alphabet’s case, the answer is the cloud infrastructure business. In Microsoft’s case, it is Azure plus the application layer around Copilot and Microsoft 365. The earnings reports point to the same customer behavior, but they show different ways of getting paid for it.

What buyers should watch next

Enterprise customers are still deciding how much of their AI budget goes to raw compute and how much goes to packaged software. Alphabet’s quarter suggests buyers are willing to commit large sums to cloud infrastructure when they need capacity and control. Microsoft’s quarter suggests they will also pay for AI features as part of the software stack they already use.

That split should shape procurement over the next several quarters. Cloud buyers will keep watching price, capacity, and access to accelerators. Software buyers will keep watching seat growth, product attachment, and whether Copilot becomes a standard line item rather than an experiment.

For now, the best read is simple. Alphabet is monetizing the engines under the hood. Microsoft is monetizing the seats in front of the user.

The next test comes with the companies’ following earnings updates, when investors will see whether Google Cloud backlog and Microsoft commercial RPO continue to move in the same direction as their AI sales.