Meta Platforms has announced plans to invest $600 billion in U.S. infrastructure and job creation over the next three years, as part of an ambitious drive to build the computing backbone for its artificial intelligence (AI) ambitions.

The social media conglomerate, which owns Facebook, Instagram, and WhatsApp, said the funds will go into constructing and expanding AI data centers across the country, alongside other infrastructure projects to strengthen its technological base.

The move underscores Meta’s determination to stay ahead in the global race toward artificial general intelligence (AGI) — or “superintelligence,” a term describing machines that can surpass human cognitive capabilities.

CEO Mark Zuckerberg reportedly disclosed the scale of the planned investment during a White House dinner in September with U.S. President Donald Trump, saying Meta would commit “at least $600 billion” domestically over the coming years.

Speaking on a recent earnings call, Zuckerberg said Meta was intentionally “front-loading capacity” to ensure the company was ready for an era of rapid AI development. “It’s the right strategy to aggressively build compute capacity now so we’re prepared for the most optimistic scenarios,” he said.

The company has already begun positioning itself for a surge in AI activity, forecasting “notably larger” capital expenditures next year. Much of this increase, Meta said, will be driven by new AI-focused data centers being built across multiple U.S. states.

In October, Meta broke ground on a $1.5 billion data center in Texas, marking its 29th such facility worldwide. And in September, it secured a $27 billion financing deal with Blue Owl Capital to fund construction of its massive Louisiana data center, the largest in the company’s global network.

The announcement reflects a broader trend among tech giants—Google, Microsoft, and Amazon among them—racing to acquire the computing power and infrastructure needed to develop next-generation AI systems.

Meta’s unprecedented $600 billion plan also carries strong domestic implications, promising significant contributions to U.S. jobs, energy demand, and regional economies, as AI becomes an increasingly central force in reshaping global technology and industry.