Meta Platforms‘ (META +0.43%) second-quarter numbers tell a strange story: The business itself is booming, but so much of its cash flow is being consumed by its AI build-out that there’s little left over.
Free cash flow fell 91% year over year to just $784 million, even as revenue jumped and operating cash flow exceeded $31 billion. That combination should make long-term investors pause.
Meta reported Q2 revenue of about $60.8 billion, up 28%, with advertising sales rising 27% as AI tools improved ad targeting and content recommendations. Operating cash flow grew 25% to $31.86 billion, which is exactly what you want to see from a strong platform business.
The problem is on the other side of the ledger. Capital expenditures (capex) on servers, data centers, and network gear surged 83% to roughly $31.1 billion. Almost every dollar the business generated went straight back out the door again.
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Meta’s early-year moves
This was not a one-quarter blip. Earlier this year, Meta raised its full-year 2026 capex guidance to a range of $130 billion to $145 billion, up from an already huge $72.2 billion in 2025 and a prior forecast range of $115 billion to $135 billion. Analysts and infrastructure trackers now talk about Meta spending more in 2026 on AI data centers and compute than it did in 2024 and 2025 combined, with tens of gigawatts of new capacity planned to train and serve Llama models and other “Meta Superintelligence” projects.
Heavy investment is not automatically bad. AI is already boosting Meta’s ad business, and CEO Mark Zuckerberg points to more than 1 million businesses using AI agents on WhatsApp and Messenger each week.
The worry is timing and scale. Sell-side models now anticipate that Meta’s free cash flow will turn negative in 2026 and drop by tens of billions of dollars more in 2027 as the company’s capex continues to run ahead of its cash generation. That would be a dramatic swing for a company that produced $43.6 billion of free cash flow in 2025.
What about Meta investors?
For shareholders, the risk is that Meta has locked itself into noncancelable infrastructure and component commitments of well over $200 billion without a clear, near-term line of sight into how much incremental profit those data centers and GPUs will generate.
If the AI products built on top of this spend do not lead to sustainably higher margins or new cash-rich businesses, Meta Platforms’ shareholders could find themselves in a bad place. They would own a company that looks more like a capital-intensive utility than a high-margin software platform, with less flexibility to dial back its spending if conditions change.
That is why a 91% collapse in free cash flow in the middle of a period of strong revenue growth is more than a quirky headline. It is a reminder that the AI race is a balance-sheet race, and that not every participant will emerge with the same cash resilience it started with.
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