Meta CEO Mark Zuckerberg signaled that the company could simultaneously advance its proprietary AI ambitions and rent out spare computing capacity for profit, but investors remain skeptical. The social media giant’s massive capital spending on chips, data centers, and energy infrastructure caused its second-quarter free cash flow to plummet 91% year-on-year to $784 million, triggering a stock decline of over 9%. While Zuckerberg framed compute as a critical, high-margin asset best reserved for internal consumer and enterprise AI tools, he noted that Meta has received lucrative offers from external firms seeking to lease its capacity at a premium.
This situation exposes a fundamental strategic dilemma as Meta tries to compete with established cloud giants like Microsoft, Alphabet, and Amazon. Unlike these hyperscalers—which easily monetize AI investments through enterprise cloud services—Meta currently relies almost entirely on its core advertising model to absorb these costs. Analysts note that Meta is incurring hyperscaler-level capital expenditures without a corresponding cloud business model, stirring investor concerns reminiscent of its costly and underperforming pivot to the metaverse.
Despite market pushback, Meta raised the lower end of its full-year capital expenditure forecast by $5 billion, bringing the total range to $130 billion to $145 billion. Chief Financial Officer Susan Li defended the aggressive spending, arguing that historical underbuilding in AI infrastructure will keep compute capacity scarce and valuable for the foreseeable future. However, company executives offered few concrete details on how or when these investments will yield substantial returns, leaving analysts and investors uncertain about the company’s long-term strategy.
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