Big Tech is committing enormous sums to the infrastructure behind artificial intelligence, but investors are increasingly focused on what those commitments mean for cash flow and future returns. Recent market losses suggest that confidence in AI demand alone may not be enough to reassure shareholders.
Spending is rising as investor patience shifts
Over the past two weeks, Alphabet, Amazon, Meta, and Microsoft outlined plans to spend more than $740 billion on capital expenditures this year. Investors are treating much of that spending as investment in AI infrastructure, including data centers and chips.
Earlier in the AI boom, large spending plans were often welcomed as a sign that companies believed the technology had significant growth potential. Now the focus is turning to negative free cash flow, rising debt, and whether the infrastructure will generate returns large enough to cover its cost.
The concerns showed up in markets on Friday. The Nasdaq fell 2.9%, while Nvidia dropped 4%, Broadcom more than 5%, and Qualcomm 11%. Alphabet, after falling 12% on Thursday in its worst day on record and losing $500 billion in market value, declined again.
AI growth can strain the businesses funding it
Alphabet’s results illustrate the tension. The company reported negative free cash flow of $9.1 billion in the third quarter, its second straight quarter in the red, as quarterly capital expenditures reached $51.4 billion. It expects to spend up to $205 billion this year and says spending will keep rising in 2027.
At the same time, AI Mode, Google’s chatbot feature built into Search, may be putting pressure on the advertising business that helps finance those investments. Search advertising accounts for roughly half of Alphabet’s revenue, and its growth slowed to 12%, the weakest pace in five quarters. The company is investing in AI while that technology could also challenge the search business paying for the investment.
Amazon is facing a cash flow squeeze as well. It reported negative free cash flow of $42.4 billion over the past 12 months, compared with positive free cash flow of $14.8 billion the year before, and expects $220 billion in capital expenditures this year. AWS revenue grew 39%, but Amazon’s stock fell 7% after its earnings report Thursday.
Meta reported negative free cash flow of $2.1 billion in the third quarter as capital expenditures exceeded operating cash. It expects as much as $145 billion in capital expenditures this year. Ad revenue grew 26%, but that did not prevent the stock from falling 10% last week.
Cash flow and financing vary across the group
Microsoft was the exception among the four on free cash flow, reporting $18.6 billion in positive free cash flow in its latest quarter. Its capital expenditures were $45.2 billion, below the $50 billion it had projected. The company said this was not an intentional reduction in AI spending, but reflected delays in capacity from third-party providers.
Those delays also affected smaller companies that rent out computing power for AI, whose shares sank. The episode shows how dependent the infrastructure buildout can be on capacity beyond the largest technology companies themselves.
Big Tech is not financing the buildout only from profits. Stock and bond sales are also helping fund it. Microsoft, Alphabet, Amazon, Meta, and Oracle raised a combined $326 billion in debt in 2026, triple the amount raised last year, according to S&P Global Market Intelligence.
Demand is real, but returns remain the question
Demand for AI computing remains strong, and Google, Amazon, and Microsoft all reported gains in their cloud businesses. Yet meeting that demand requires spending at a scale that has made investors more sensitive to the cost of growth and the timing of returns.
The uncertainty may also complicate Anthropic’s highly anticipated IPO. The company filed to go public earlier this week, and its future growth depends on securing enormous amounts of computing capacity. The Financial Times reported Friday that Blackstone warned investors Anthropic might not qualify for an investment-grade rating after its IPO, potentially leaving it more reliant on hyperscalers and third parties to fund its infrastructure ambitions.
For investors, the debate is no longer just whether businesses want AI computing. It is whether the companies building and buying that capacity can keep financing it while protecting the cash-generating businesses that support their plans.