Key Points
- Meta announced a $600 billion investment in U.S. infrastructure and jobs over the next three years.
- A major focus of the investment will be on building artificial intelligence data centers.
- The move is part of Meta’s long-term goal to achieve “superintelligence.”
- CEO Mark Zuckerberg first discussed the investment with President Donald Trump in September.
Meta Platforms announced on Friday that it will invest a staggering $600 billion in U.S. infrastructure and jobs over the next three years. A significant portion of this investment will go towards building artificial intelligence data centers, as the social media giant races to build the necessary infrastructure to fuel its ambitious AI goals.
Meta has fully committed to AI, setting its sights on achieving “superintelligence”—a theoretical point where machines become smarter than humans. To reach this goal, the company has already pledged hundreds of billions of dollars to build several large-scale AI data centers and is planning even larger spending to meet its massive computing needs.
This enormous investment was first mentioned by CEO Mark Zuckerberg in September, when he told U.S. President Donald Trump at a White House dinner that Meta would invest “at least $600 billion” in the U.S. over the next several years.
On a recent earnings call, Zuckerberg explained the company’s aggressive strategy, saying that Meta is building up its computing capacity now so that it is “prepared for the most optimistic cases” of AI development.
Meta has already forecast “notably larger” capital expenses for next year, driven by its investments in AI and the aggressive construction of data centers. Last month, the company secured a $27 billion financing deal with Blue Owl Capital to fund its new data center in Louisiana, its largest such project in the world.
In October, Meta also announced a $1.5 billion investment in a data center in Texas, which will be its 29th such facility globally. This latest $600 billion pledge underscores Meta’s deep commitment to leading the AI race, an effort that requires unprecedented levels of investment in physical infrastructure and a highly skilled workforce.
