For three years, investors rewarded Big Tech for spending ever-larger sums on artificial intelligence. That patience snapped in the final week of October. Alphabet, Amazon, Meta, and Microsoft have outlined plans to spend more than $740 billion on capital expenditures this year — mostly data centers and chips — and the market's reaction turned from applause to alarm. The Nasdaq fell 2.9% on Friday, October 30, with Nvidia down 4%, Broadcom more than 5%, and Qualcomm 11%.
The numbers behind the anxiety are stark. Alphabet reported negative free cash flow of $9.1 billion in the third quarter, its second consecutive quarter in the red, even as quarterly capital spending hit $51.4 billion; it expects to spend up to $205 billion this year, with spending still rising in 2027. Its shares plunged 12% on Thursday, its worst day on record, wiping out $500 billion in market value, as growth in its core search advertising business slowed to 12%, its weakest pace in five quarters. Amazon swung to negative free cash flow of $42.4 billion over the past twelve months, against $14.8 billion positive a year earlier, while guiding to about $220 billion in capital spending. Meta reported negative free cash flow of $2.1 billion in the quarter on capital spending of up to $145 billion.
Microsoft was the exception, posting $18.6 billion in positive free cash flow on $45.2 billion of capital spending, below its $50 billion projection. And demand for AI computing itself remains strong — Google, Amazon, and Microsoft all reported cloud growth. But the funding side is shifting: according to S&P Global Market Intelligence, the five giants plus Oracle raised a combined $326 billion in debt in 2026, roughly triple last year's amount.
Why it matters
The AI boom is entering its "show me" phase. Until now, spending itself was treated as evidence of leadership; now investors want proof that data centers turn into durable profits rather than just bigger depreciation bills. That distinction matters far beyond stock prices: if the hyperscalers have to fund this build-out with debt rather than cash flow, the cost of capital for the entire AI ecosystem rises, and smaller labs and startups that depend on cheap, abundant compute will feel the squeeze first. The boom is not over — cloud demand is still growing — but the era when every billion in AI spending was automatically cheered is.
Source: TechCrunch — Cracks are emerging in the AI spending boom (October 30, 2026). Summary rewritten by VCTRIA.
