Meta to spend hundreds of billions on AI data centers, says Mark Zuckerberg

Meta founder Mark Zuckerberg said the social media giant will spend hundreds of billions of dollars to build huge data centers in the United States.

The first multi-gigant data center called Prometheus is expected to come online in 2026, Zuckerberg said.

He said one of the sites would cover the area almost the size of Manhattan (59.1 square km/22.8 square meters).

Meta invests strongly in its efforts to develop what it calls a “supervisory staff” – a technology that is said to be thinking of the smartest people.

The company that made the bigger part of its online advertising money generates over $ 160 billion in 2024 revenue.

In a publication on his social media platform, Termi, Zuckerberg said Meta is building several multi-gigant clusters and that a cluster, called Hyperion, can scale up to five gigs in a few years.

“We are also building several more Titan clusters. Only one of these covers a significant part of Manhattan’s print,” he added.

Prometheus will be built in New Albani, Ohio, while Hyperion will be built in Louisiana and is expected to be completely online until 2030, Zuckerberg said.

He said Meta would “invest hundreds of billions of dollars … to build a super -voltage” and that the centers have received “names that match their scale and impact.”

Carl Freind, chief analyst at Cambrian Ai Research, told the BBC: “It is clear that Zuckerberg intends to spend his way to the top of Ai Heap.”

“The talent he hires will have access to some of the best AI hardware in the world,” Frend added.

Meta shares were traded by 1% higher after the announcement, according to Reuters News. The action has increased more than 20% so far this year.

There are at least 10,000 data centers worldwide hosting the cloud – remote servers that store digital information – with most of them located in the United States, followed by the United Kingdom and Germany.

The data centers operated by AI are extremely energy and water intensive. One study estimates that these centers can consume 1.7 trillion gallons of water worldwide by 2027. Single AI request – for example, a request for chatgpt – can use around as much water as a small bottle you would buy from the corner storeS