Artificial Intelligence

Cracks Emerge in AI Spending Boom as Big Tech Piles Up Debt

Big Tech companies are pouring billions into artificial intelligence infrastructure, but growing debt, negative cash flow, and escalating investor skepticism are raising serious questions about the long-term sustainability of the AI spending boom.

Radwan AbdulhadiEditor and technology writer

Published: October 31, 2026 · Updated: October 31, 2026 · 4 min read

Cracks Emerge in AI Spending Boom as Big Tech Piles Up Debt — Image: TechCrunch

Massive Capex Plans Spark Investor Alarm

Over the past two weeks, major technology giants including Alphabet, Amazon, Meta, and Microsoft have outlined capital expenditure plans exceeding $740 billion for the year. Wall Street has broadly interpreted these massive outlays as dedicated AI infrastructure spending aimed at securing essential components like data centers and advanced chips.

Earlier in the artificial intelligence boom, investors largely rewarded such large-scale investments, viewing them as clear signs of confidence in the technology’s growth potential. However, as the fourth quarter unfolds, that early enthusiasm is rapidly giving way to intense concerns regarding negative free cash flow, mounting debt, and whether these historically large capital commitments will ever yield sufficient financial returns.

Market Turmoil and the Toll on Core Business Models

The underlying anxiety spilled widely across the financial markets, sending the Nasdaq down 2.9% while major chip stocks suffered severe drops. Nvidia fell 4%, Broadcom dropped by more than 5%, and Qualcomm tumbled 11%. At the same time, Alphabet continued to face downward pressure following a historic 12% drop that wiped out $500 billion in market value.

A primary driver of market concern is that companies accustomed to overflowing free cash flow from their core operations are now seeing those economics threatened by AI integration. Alphabet provided the clearest example of this tension when Google’s parent company reported a negative free cash flow of $9.1 billion in the third quarter, marking its second consecutive quarter in the red while quarterly capital expenditures rose to $51.4 billion.

Furthermore, the rapid adoption of features like Google's AI-powered chatbot built directly into Search is altering the company's traditional revenue engine. Google’s Search advertising business, which historically accounts for roughly half of its total revenue, experienced growth slowing to 12%, representing its weakest pace in five quarters.

Cash Burning Across Amazon, Meta, and Microsoft

Amazon faced a similarly challenging dynamic after reporting a negative free cash flow of $42.4 billion over the preceding 12 months, a stark contrast to the $14.8 billion in positive free cash flow recorded the year prior. Despite strong cloud division growth, the market reaction underscored deepening concerns over escalating operational overhead.

Meta is likewise burning through cash, reporting a negative free cash flow of $2.1 billion in the third quarter as capital expenditures outpaced its operating cash. The company noted that running its new free personal AI agent is exceptionally compute-intensive, contributing to a guidance of up to $145 billion in capital expenditures for the year.

Microsoft stood out as an exception regarding free cash flow, recording $18.6 billion in positive free cash flow during its latest quarter with capital spending reaching $45.2 billion. The company noted that lower-than-projected spending was driven by capacity delivery delays from third-party providers rather than an intentional pullback in its artificial intelligence strategy.

Consequently, shares of smaller specialized cloud companies that rent out AI computing power saw significant pullbacks following adjusted capital expenditure outlooks.

Surging Corporate Debt and Broader Market Implications

The staggering capital required to build out global artificial intelligence infrastructure is not entirely funded by internal tech profits. According to data from S&P Global Market Intelligence, major hyperscalers including Microsoft, Alphabet, Amazon, Meta, and Oracle collectively raised a staggering $326 billion in debt throughout the year, marking triple the volume raised during the previous year.

While overall enterprise demand for artificial intelligence computing capacity remains strong—evidenced by consistent gains across major cloud provider divisions—investors are increasingly spooked by the escalating financial costs required to sustain that growth.

These complicated market conditions arrive as startups prepare for public listings. Anthropic filed to go public earlier in the week, though reports indicate potential ratings headwinds that could leave the company more reliant on established hyperscalers and third-party partners to support its long-term infrastructure ambitions.