Asger Risom
The company announced plans to spend $600 billion over the next three years, focusing on artificial intelligence data centers and domestic job creation as it accelerates toward what it calls “superintelligence.”
Meta Platforms is making one of the largest infrastructure bets in U.S. corporate history. The company announced plans to spend $600 billion over the next three years, focusing on artificial intelligence data centers and domestic job creation as it accelerates toward what it calls “superintelligence.”
Building for AI
According to Reuters, Meta has committed hundreds of billions of dollars to constructing large-scale AI data centers across the country. The company’s leadership says the investment is meant to provide the computing power required for advanced AI systems that could eventually surpass human reasoning.
Chief Executive Mark Zuckerberg reportedly discussed the plan with U.S. President Donald Trump during a White House dinner in September. At that meeting, he pledged that Meta would invest “at least $600 billion” in the United States over the next several years.
Front-loading capacity
Speaking during the firm’s recent earnings call, Zuckerberg explained that Meta’s strategy involves accelerating infrastructure growth ahead of demand. “It’s the right strategy to aggressively front-load capacity so we’re prepared for the most optimistic cases,” he said.
The company expects its capital expenditures to rise “notably” next year due to its AI-related projects. That includes expanding data centers designed to support large-scale model training and new generative technologies that underpin its AI products.
Major U.S. projects
Meta’s largest data center initiative to date is in Louisiana, financed through a $27 billion deal with Blue Owl Capital signed in October. The project is described as the company’s biggest globally.
Around the same time, Meta also announced a $1.5 billion investment in a new Texas facility, marking its 29th data center worldwide. Both projects are part of its broader plan to build out U.S. compute infrastructure to sustain AI-driven growth over the next decade.
This article is made and published by Asger Risom, who may have used AI in the preparation
