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Cracks are emerging in the AI spending boom

Big Tech is pouring billions into AI infrastructure, but mounting debt, negative cash flow, and growing investor skepticism are raising questions about the sustainability of the AI spending boom.

Investors are becoming increasingly skeptical of the massive AI infrastructure spending by Big Tech companies as concerns over negative free cash flow, rising debt, and uncertain returns grow. Over the past two weeks, Alphabet, Amazon, Meta, and Microsoft have collectively outlined plans to spend over $740 billion on capital expenditures, primarily on data centers and chips.

While investors initially rewarded such big outlays as a sign of confidence, the enthusiasm has waned in the fourth quarter. The Nasdaq fell 2.9%, and chip stocks, including Nvidia, Broadcom, and Qualcomm, saw significant drops. Companies that once enjoyed robust free cash flow from their core businesses, such as Alphabet, are now facing challenges as AI threatens their economics.

Google's parent company reported negative free cash flow of $9.1 billion in the third quarter, even as capex grew to $51.4 billion. Alphabet anticipates spending up to $205 billion this year, with spending expected to increase in 2027. Google's AI-powered chatbot feature integrated into Search has negatively impacted its revenue, with Search advertising growth slowing to 12%, its weakest pace in five quarters.

Amazon and Meta are also grappling with negative free cash flow and heavy capex investments. While Microsoft is the only exception among the Big Tech companies, investors remain cautious due to the soaring costs of meeting the demand for AI compute. These companies are raising substantial debt to fund their AI infrastructure, with the sum of $326 billion raised in 2026, tripling the amount raised the previous year.

As Anthropic prepares for its highly anticipated IPO, investors warn the company might struggle to secure an investment-grade rating, potentially relying more on hyperscalers and third-parties for funding its infrastructure ambitions.

Written by urgent.news from TechCrunch's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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