Three years ago, Microsoft (MSFT) was already a Wall Street behemoth. However, the steep rise of ChatGPT offered its investors a fresh reason to own its shares, offering a front-row seat to the artificial intelligence boom without betting on a startup. The wager paid off. A $10,000 investment in Microsoft three years ago would have grown to roughly $16,480 by October 28, 2026, with dividends reinvested. There’s plenty to like about its business, too, as it reported another robust quarterly showing, having blown past estimates across both lines over the past year. Yet CEO Satya Nadella’s remarks during the company’s October 28 earnings call exposed a problem investors may be overlooking. A handful of customers spending billions on AI can’t make a business sustainable. And Microsoft’s own financial filings suggest the stakes are much bigger than one company. Microsoft CEO questions what makes AI growth sustainable Microsoft’s Azure revenue surged 48% last quarter, yet demand still exceeds its computing capacity. More Microsoft: Microsoft’s $665 target hinges on a new AI advantage Meta and Microsoft just sent employees a memo about Anthropic Microsoft just sent a strong message to Anthropic When Bernstein analyst Mark Moerdler quizzed Nadella about whether AI growth came from established enterprises or AI-native companies, he drew a distinction. “But like everything else, the enterprise stuff is not like a quarter-over-quarter. It is a decade-long thing, and that is what I have been waiting for, as opposed to four customers who buy a lot of capacity from you, and you can show a few quarters of growth, and that is not a business as far as I am concerned.” A few huge customers can deliver impressive quarterly sales. A lasting business requires broader adoption. Nadella highlighted Unilever’s automated order-taking, Rolls-Royce’s AI-assisted jet-engine supply chain management, and Austrian bank RBI’s use of AI across more than 20 processes, underscoring how AI technology saves time and money. “In fact, if anything, some of the shiny object stuff is waning, which is it is not about the next big thing. They are really more about, wow, can I build a system? Can I own the weights? Can I manage my costs? Can I have reliability? What about security?” For investors, that’s important because new models generate headlines, but AI spending becomes more dependable when businesses trust the systems enough to use them repeatedly. Microsoft believes that transition is underway. Yet its own filings show why customer concentration remains a major risk worth assessing. Microsoft CEO Satya Nadella says lasting AI growth requires broader enterprise adoption. DIMITAR DILKOFF / Getty Images AI’s biggest customers reveal a growing concentration problem Case in point is that Microsoft’s latest quarterly filing revealed $10 billion in sales from commercial arrangements with OpenAI, including revenue-sharing payments. That’s around 11% of Microsoft’s $92.3 billion in quarterly revenue. OpenAI also owed Microsoft $7.2 billion at the end of September, up from $6 billion in June. Those receivables aren’t necessarily overdue, but they underscore the scale of the relationship. The dependence is growing. Microsoft recorded $24.1 billion in OpenAI-related revenue for the entire fiscal year ended in June. It has already recognized more than 40% of that amount in the first quarter of its new fiscal year. Microsoft isn’t alone. Nvidia’s (NVDA) regulatory filing shows three direct customers accounted for 16%, 15%, and 13% of sales during the first half of fiscal 2027, a combined 44% as covered by Biggo. Those buyers aren’t necessarily the companies ultimately using Nvidia’s chips, but the concentration creates exposure if major customers pull back. The connections extend further with Reuters reporting that Anthropic routed 47% of its 2025 sales through Amazon and Google’s cloud marketplaces. Both companies also invest in Anthropic and supply its computing power. Marketplace sales aren’t the same as customer concentration, but they reveal how closely AI’s biggest players are intertwined. Also, The International Monetary Fund examined 14 interconnected AI transactions involving roughly $300 billion in equity investments, $650 billion in debt, and $1.4 trillion in future revenue commitments. In such arrangements, an investor may fund an AI developer that subsequently purchases computing services within the same ecosystem. These transactions can be legitimate, and the revenue real, but future commitments aren’t guaranteed sales. If customers ultimately spend less than expected, the consequences could extend beyond individual companies, threatening investment valuations, anticipated sales, and the financing that supports further AI expansion. What AI stock investors should watch as spending climbs Market skeptics like Michael Burry see major risks in AI’s spending boom. The ‘Big Short’ investor who anticipated the housing crash warns that debt and circular financing might leave the boom a lot more vulnerable. If a major developer cuts spending, the fallout could spread from data centers to chipmakers and their shareholders. That said, Microsoft’s spending shows what’s at stake. It reported $45.2 billion in quarterly capital expenditures, roughly three-quarters on shorter-lived assets, mainly computing hardware. Management expects more than $50 billion next quarter and about $170 billion for calendar 2026. Yet Microsoft also generated $18.6 billion in free cash flow. Nadella remains optimistic. “Your core question of where is the margin going to come from, where the leverage is going to come from, it’s going to come from every one of them, and it compounds when we work them across.” With more than 120,000 Foundry customers and Azure growth projected at 49%-50% next quarter, Microsoft has evidence of expanding demand. For investors, the question is whether that demand will become broad and profitable enough to justify AI’s enormous bills. Related: BofA sees 80% upside for Seagate stock, but Micron shares look cheaper
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