Big Tech's $740 billion AI capex plans rattle Wall Street as cash flows turn negative

Wall Street's enthusiasm for Big Tech's AI build-out is giving way to anxiety. According to TechCrunch, Alphabet, Amazon, Meta and Microsoft have over the past two weeks detailed plans to spend more than $740 billion on capital expenditures this year, outlays the market largely reads as AI infrastructure spending on data centers and chips. Earlier in the boom, investors rewarded spending on this scale as a signal of confidence in the technology. Now it is raising questions about negative free cash flow, mounting debt and whether these investments will ever generate sufficient returns.

A rough week on the markets

The nervousness showed up directly in share prices. TechCrunch reports that the Nasdaq fell 2.9% on Friday, and chip stocks fell harder: Nvidia lost 4%, Broadcom more than 5% and Qualcomm 11%. Alphabet had already suffered its worst single trading day on record on Thursday, dropping 12% and erasing roughly $500 billion in market value, and it slipped further on Friday. Amazon shed 7% after reporting earnings, and Meta took a 10% hit over the week.

Cash burn spreads across the hyperscalers

A central worry is that AI spending is now consuming more cash than these companies generate from their operations.

Alphabet reported $9.1 billion in negative free cash flow for the third quarter, its second consecutive quarter in the red, even as quarterly capex climbed to $51.4 billion. The company expects to spend up to $205 billion this year, with spending set to keep rising in 2027.

Alphabet also illustrates a second problem: AI undercutting the business that funds it. Google's Search advertising arm, which accounts for roughly half of revenue, slowed to 12% growth, its weakest pace in five quarters, even as AI Mode, the AI chatbot feature built into Search, proves wildly popular. The company is effectively spending billions on technology that competes with its own largest source of income.

Amazon is in a similar position. It reported $42.4 billion in negative free cash flow over the past twelve months, compared with $14.8 billion in positive free cash flow the year before, and expects $220 billion in capex this year. Revenue at its cloud unit AWS grew 39%, yet the stock still tumbled after earnings.

Meta posted $2.1 billion in negative free cash flow for the quarter as capex outpaced operating cash, and is guiding to as much as $145 billion in spending this year. CEO Mark Zuckerberg has described Muse, the company's new free personal AI agent, as "very compute-intensive to run." Even 26% ad revenue growth did not spare the stock from its weekly decline.

Microsoft was the exception on free cash flow, recording $18.6 billion positive in its latest quarter with capex of $45.2 billion, below the $50 billion it had projected. The company said the shortfall reflected delays in capacity from third-party providers rather than any deliberate pullback from AI spending. That distinction mattered little to smaller companies that rent out AI computing power, whose shares sank on the news.

Debt is funding part of the build

The money paying for this infrastructure is not coming from profits alone. Citing S&P Global Market Intelligence, TechCrunch reports that Microsoft, Alphabet, Amazon, Meta and Oracle together raised $326 billion in debt in 2026, roughly triple the amount raised the year before.

Anthropic's IPO meets harder conditions

The unsettled environment could complicate Anthropic's highly anticipated IPO, filed earlier this week. The company's growth depends on securing enormous amounts of compute, and the Financial Times reported on Friday that Blackstone has warned investors Anthropic may not qualify for an investment-grade rating after going public, which would leave it more reliant on hyperscalers and third parties to fund its infrastructure ambitions.

Why it matters

Demand for AI compute is not the problem; Google, Amazon and Microsoft all reported gains in their cloud businesses. The problem is the cost of meeting that demand. Three of the four biggest spenders are now running negative free cash flow, the debt financing behind the build-out has tripled in a year, and in Alphabet's case AI is starting to erode the advertising business that pays for everything else. How investors price that trade-off will shape not only Big Tech valuations but the entire supply chain around them, from chipmakers to data-center builders to compute resellers, and it will determine how willingly markets fund the next generation of AI companies.