Amazon Spends More on AI Than It Generates in Cash—And Wall Street Just Noticed

Amazon reported third-quarter earnings on Tuesday that revealed a stark reality: the company spent $77.3 billion on property and equipment while generating just $42.4 billion in operating cash flow. The revelation sent the stock tumbling as much as 12.5 percent in after-hours trading, erasing the entire rally that followed the company's second-quarter results.

The earnings per share of $1.89 missed Wall Street's consensus estimate of $1.97, while revenue of $201.9 billion came in just below the expected $202.25 billion. But it was the capital expenditure surge—almost entirely devoted to AI infrastructure and data centers—that dominated the market's reaction.

AWS Growth Can't Offset Infrastructure Appetite

Amazon Web Services delivered its fastest growth in 18 quarters, with revenue climbing 39.3 percent to $46 billion and reaching a $184 billion annualized run rate. Operating income hit $28.1 billion with a record 13.9 percent operating margin, the highest in Amazon's history.

Yet even those impressive numbers couldn't comfort investors facing the company's unprecedented spending trajectory. Amazon maintained its full-year 2026 capital expenditure forecast at $220 billion, a commitment that dwarfs its ability to generate cash from operations.

"Amazon said it spent more than $77 billion on property and equipment in the third quarter, far more than analysts' estimates, while pursuing its effort to build data centers and fulfill demand for artificial intelligence services," Bloomberg reported.

The AI Arms Race Gets Expensive

Like Microsoft, Alphabet, and Meta, Amazon has bet its future on AI infrastructure. The four companies combined expect to spend roughly $720 billion to $745 billion on capital expenditures in 2026, with Amazon's share representing nearly one-third of that total.

The spending spree reflects the belief that whoever builds the most powerful AI infrastructure will capture the largest share of what executives believe will be a multi-trillion-dollar market. AWS customers are already demanding massive computing capacity for training and running large language models, and Amazon is racing to meet that demand before competitors establish dominant positions.

But the market's reaction suggests investors are growing nervous about the pace of spending relative to near-term returns. The stock dropped to approximately $223 in after-hours trading, falling to levels last seen in early April and wiping out months of gains.

Cash Flow Reality Meets AI Ambition

The $77.3 billion quarterly capex figure represents roughly 1.8 times Amazon's operating cash flow for the same period. In practical terms, Amazon is spending significantly more than it generates, funding the difference through debt and existing cash reserves.

Reuters noted that Amazon "has made a huge spending commitment to developing AI software and infrastructure," while emphasizing the company's $220 billion annual forecast—a number that now appears unlikely to decline in 2027 given the ongoing capacity demands from AWS customers.

For investors, the question becomes whether Amazon's bet on AI infrastructure will generate sufficient returns to justify the unprecedented capital deployment. AWS growth is accelerating, but so is spending, and the gap between cash generation and capital investment has never been wider.

The after-hours selloff suggests the market wants proof that AI investments will translate into profits sooner rather than later. Until that evidence arrives, Amazon's stock may remain under pressure despite operating margin records and accelerating cloud growth.