Meta, Alphabet, and Amazon all reported negative free cash flow this earnings season, leaving Microsoft as the only major hyperscaler still generating positive returns — even as the group collectively commits trillions of dollars to artificial intelligence infrastructure.
The results, reported over the past two weeks, mark a new threshold of financial strain on the core legacy businesses that have long funded these companies' expansion.
Meta posted negative free cash flow of $2.12 billion. Amazon's outflows swelled to $42.4 billion. Alphabet's reached $9.07 billion. Microsoft, though still positive, saw its cash generation drop 27% to $18.63 billion for the quarter — a decline for the second consecutive period — and said it will turn to the bond market to help finance continued AI infrastructure investment.
Amazon said growth slowed in both its retail and advertising businesses. Online sales gained 2% year over year, decelerating sharply from 10% a year ago and falling below analysts' estimates. The midpoint of the company's revenue guidance also came in below the $244.5 billion analysts had projected — a particularly notable miss for the quarter that includes the holiday shopping season. Amazon expects capital expenditures to reach $220 billion this year, and analysts tracked by FactSet project that figure will surpass $280 billion in 2026.
"Would it be more convenient if this type of acceleration and opportunity happened over 25 years, and you can spread the capex over 25 years?" Amazon CEO Andy Jassy said on Thursday's earnings call. "Yeah, it might be more convenient."
Alphabet drew the sharpest investor reaction. The company's core search business posted a third consecutive quarter of slowing growth and missed analysts' projections, underscoring competitive pressure from AI-powered products including ChatGPT and Claude. YouTube-related advertising revenue also came in below expectations. Alphabet shares suffered their steepest single-day drop ever on Thursday.
Mark Mahaney, an analyst at Evercore, told CNBC's "Closing Bell Overtime" that while Google's cloud revenue was "good news," its decelerating digital advertising business represented "the overwhelming bad news."
Forrester analyst Tracy Woo said in an email that "Alphabet's massive capex investment in infrastructure buildout has been tolerated for now," but warned the company "is walking a fine line." Woo added: "Weakness in Search and YouTube revenue performance relative to expectations surfaces growing concern about AI displacement of the company's largest revenue generators."
Meta, for its part, saw its shares fall 7% after reporting earnings last week despite beating on revenue. The company said capital expenditures will reach as high as $145 billion this year, with analysts projecting that figure could climb above $210 billion in 2027. Meta followed its report by announcing plans to raise $95 billion in stock to support its AI investments. Early traction with its Muse AI agent app has offered investors some optimism about potential new revenue streams outside of advertising, though analysts say those efforts remain far from materially impacting overall financials.
Not all observers view the cash flow dynamics as alarming. Christopher Ballard, a managing director at Check Capital Management, noted that Alphabet's $9 billion negative free cash flow is modest relative to the company's operating income, which topped $40 billion for the quarter. "They're borrowing from the for-now in order to invest in the future," Ballard said. "I think it's OK, and they're doing it in a responsible manner."
Rising interest rates are adding a broader complication to the sector's spending trajectory. Costlier debt is placing particular pressure on cash-burning neoclouds that have become integral to the global AI buildout — and the hyperscalers, while better insulated, are not entirely immune to investor concern about the timing and scale of returns.
With all four hyperscalers signaling that data center spending will continue to grow into next year, the central question heading into 2027 is whether the legacy businesses underpinning these bets — search, e-commerce, enterprise software, digital advertising — can sustain the load long enough for AI-driven revenue to arrive at scale.
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