Google and Microsoft enter this earnings session with one big question hanging over them: how much money can they actually make from the AI boom?
Both companies are spending heavily to build the infrastructure behind artificial intelligence, and investors want to see more than impressive technology or ambitious promises. They want proof that all this investment is turning into real revenue, stronger profits and sustainable growth.
Google has a business that millions of people use every day, often without thinking twice about it. From searching for products to watching YouTube videos, its services remain deeply connected to everyday life. But the way people find information is changing. AI tools can now answer questions, compare options and summarize information without requiring users to click through multiple search results. That creates new opportunities for Google, but it also raises questions about the future of its traditional advertising business.
Google Cloud could help balance that pressure. Businesses need computing power, storage and AI infrastructure to build their own products, and Google is competing for a growing share of that demand. Strong cloud growth would give investors another reason to believe the company can expand beyond its core search business. Still, revenue growth is only part of the picture. Building and operating data centers costs serious money, and investors will want to know whether that spending is producing worthwhile returns.
Microsoft faces a similar challenge, although its position is different. Its software is already part of everyday business operations, giving it a direct route to introduce AI tools to companies that want employees to work more efficiently. An AI assistant that helps prepare reports, analyze documents or write code has genuine value when it saves time and improves results. The real question is whether customers see enough benefit to keep paying for these services and expand their use.
Azure is central to that story. As businesses develop and deploy AI applications, they need more computing capacity, creating an opportunity for Microsoft to grow its cloud business. But meeting that demand requires investment in data centers, chips, electricity and other infrastructure. If costs rise too quickly, strong revenue growth may not translate into the kind of profits investors expect.
That is why this earnings session could produce some surprising stock reactions. A company can beat analysts' estimates and still see its shares fall if management signals slower growth, higher spending or weaker margins ahead. Markets are looking beyond the latest quarter and trying to work out whether today's AI investments will generate enough money in the years to come.
The expectations are already substantial. Before the reports, analyst estimates put Alphabet's quarterly revenue around $128 billion and Microsoft's around $90.6 billion. These are forecasts, not confirmed results, and even a small difference between expectations and actual performance could influence the market's reaction.
For Google, I would pay close attention to search advertising, Google Cloud growth and the cost of expanding its AI capabilities. For Microsoft, Azure demand, paid AI adoption and cash flow deserve particular attention. The details in management's outlook may matter just as much as the earnings figures themselves.
Both companies have strong businesses and clear opportunities, but neither gets a free pass simply because AI is attracting enormous investment. Investors need evidence that customers are willing to pay for these services and that the revenue can grow without costs eating away at the returns.
My view is that Google and Microsoft both have a credible chance of delivering solid results, but the bigger question is which company can demonstrate the clearest path from AI investment to lasting profitability. A strong earnings report would be encouraging. A strong report backed by convincing guidance and better visibility into future returns would be far more meaningful.
This is where the market's attention should stay. The AI race is no longer just about who can build the most powerful technology. It is about who can turn that technology into a business that consistently makes money.
The next set of results may offer a clearer answer, but the real test will be what happens after the headlines fade.
This is pre-earnings market commentary based on analyst expectations available on October 28, 2026. Forecasts are not confirmed results, and this article is for informational purposes only.
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