Meta CEO Mark Zuckerberg announced plans to build multiple massive data centers dedicated to AI training, each requiring over 1,000 megawatts of electricity and covering significant portions of Manhattan if placed in New York City. The ambitious infrastructure push represents Meta’s aggressive bet on developing “AI superintelligence,” with the company investing “hundreds of billions of dollars into compute” to compete in the race for artificial general intelligence.
What you should know: Meta is constructing several multi-gigawatt data center clusters, each far exceeding the power consumption of current supercomputers and AI facilities.
The big picture: This infrastructure expansion reflects how aggressively major tech companies are racing to build AI that promises to surpass human intelligence.
Why this matters: The scale of Meta’s investment raises questions about both the financial viability and environmental impact of the superintelligence race.
What they’re saying: “We’re actually building several multi-GW (gigawatt) clusters,” Zuckerberg wrote in a Facebook post. “We’re calling the first one Prometheus and it’s coming online in ’26. We’re also building Hyperion, which will be able to scale up to 5GW over several years.”
Key details: Each data center will feature hundreds of thousands of AI-focused GPUs and require power equivalent to what entire cities consume.