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Building a bigger AI future requires bigger investments, and Meta is prepared to spend big. Meta reported on Wednesday that capital expenditures for 2025 are expected to total between $66 and $72 billion. A significant portion of this money, approximately $30 billion, will be directed into growing the company’s AI infrastructure, including building new data centers and purchasing cutting-edge servers.
That’s an aggressive capex growth, and one that Meta plans to continue onwards to 2026. The company said it expects a similarly large increase in spend on AI infrastructure next year as the company continues to “aggressively pursue opportunities to bring additional capacity online to meet the needs of its artificial intelligence efforts and business operations.”
“We expect that developing leading AI infrastructure will be a core advantage in developing the best AI models and product experiences, so we expect to ramp our investments significantly in 2026 to support that work,” said Susan Li, Meta CFO, during the company’s Wednesday earnings call.
Li also noted that while Meta expects to finance most of its AI spend on its own, the company is exploring ways to work with financial partners to co-develop data centers.
Meta has announced two major AI “titan clusters.” The first is Prometheus in Ohio, which is poised to be among the first AI superclusters to hit 1 gigawatt of compute power when it comes online in 2026. Then there’s Hyperion, a cluster in Louisiana that Meta CEO Mark Zuckerberg has bragged would have a footprint the size of Manhattan and could scale up to 5 gigawatts over several years. On top of those, Meta has several other unnamed titan-scale clusters underway.
Meta’s data center projects promise to soak up enough energy to power millions of homes, pulling that electricity from nearby communities. One of the company’s projects in Newton County, Georgia, has already caused the water taps to run dry in some residents’ homes.
Meta also noted in its earnings report that it expects its second-largest driver of growth to be employee compensation as the company spends millions, and possibly even billions, to poach talented AI engineers and researchers to work for Meta’s newly formed business unit, Superintelligence Labs.
