Investor confidence in the artificial intelligence sector is facing a significant test as major technology companies report mounting financial pressures. Over the past two weeks, Alphabet, Amazon, Meta, and Microsoft announced capital expenditure plans totaling more than $740 billion for the current year. Wall Street analysts largely interpret these figures as investments in AI infrastructure, including data centers and specialized chips.
While earlier phases of the AI boom saw investors reward such massive outlays as signs of technological leadership, the mood has shifted. As the fourth quarter begins, market participants are increasingly concerned about negative free cash flow, rising debt levels, and the long-term return on these enormous investments.
Alphabet and Amazon Face Cash Flow Pressures
The anxiety became visible in market movements on Friday. The Nasdaq Composite fell 2.9%, with semiconductor stocks suffering notable losses. Nvidia dropped 4%, Broadcom declined by more than 5%, and Qualcomm fell 11%. Alphabet, which had already seen its market value drop by $500 billion on Thursday, fell again, marking its worst trading day on record.
Alphabet provided the clearest example of the financial strain. The company reported negative free cash flow of $9.1 billion in the third quarter, marking the second consecutive quarter in the red. This occurred even as quarterly capital expenditures grew to $51.4 billion. Alphabet expects to spend up to $205 billion this year, with spending projected to rise further in 2027.
Compounding the issue is the performance of Google Search, which generates roughly half of the company’s revenue. Growth in search advertising slowed to 12%, the weakest pace in five quarters. This slowdown coincides with the rise of AI Mode, a chatbot feature built directly into Search. While successful, the new feature is consuming resources from the core advertising business that funds the AI expansion.
Amazon faces similar challenges. The company reported negative free cash flow of $42.4 billion over the past 12 months, a sharp reversal from the $14.8 billion in positive cash flow recorded the previous year. Amazon plans to spend $220 billion in capital expenditures this year. Despite a 39% growth in revenue for its cloud business, AWS, Amazon’s stock fell 7% following its earnings report.
Meta and Microsoft Show Mixed Results
Meta also reported negative free cash flow, posting a loss of $2.1 billion in the third quarter as capital expenditures outpaced operating cash. The company is guiding to as much as $145 billion in capital expenditures this year. CEO Mark Zuckerberg noted that Muse, a new free personal AI agent, is “very compute-intensive to run.” Although ad revenue grew 26%, Meta’s stock still fell 10% last week.
Microsoft stood out as the only major company to report positive free cash flow, recording $18.6 billion in the latest quarter. Capital expenditures came in at $45.2 billion, below the $50 billion projection. The company attributed the lower spending to delays in capacity from third-party providers rather than a strategic pullback from AI investments. This news caused shares of smaller companies that rent out AI computing power to sink.
The funding for this AI infrastructure spending is not coming solely from corporate profits. According to S&P Global Market Intelligence, Microsoft, Alphabet, Amazon, Meta, and Oracle raised a combined $326 billion in debt in 2026. This amount is triple the debt raised in the previous year.
These financial dynamics could complicate the initial public offering of Anthropic, the AI company that filed to go public earlier this week. The Financial Times reported that Blackstone has warned investors Anthropic might not qualify for an investment-grade rating after its IPO. This could force the company to rely more heavily on hyperscalers and third-party providers to fund its infrastructure ambitions.
Demand for AI compute remains strong across the sector, with Google, Amazon, and Microsoft all reporting gains in their cloud businesses. However, the high cost of meeting this demand is creating uncertainty for investors and shaping the financial strategies of the technology industry.
Source: TechCrunch
