Meta Platforms plans to spend between $60 billion and $65 billion this 12 months to construct out AI infrastructure, CEO Mark Zuckerberg stated Friday, becoming a member of a wave of Huge Tech corporations unveiling hefty investments to capitalize on the know-how.
As a part of the funding, Meta will construct a greater than 2-gigawatt information heart that may be giant sufficient to cowl a major a part of Manhattan.
The corporate — one of many largest prospects of Nvidia’s coveted synthetic intelligence chips — plans to finish the 12 months with greater than 1.3 million graphics processors.
“This will be a defining year for AI,” Zuckerberg stated in a Fb submit. “This is a massive effort, and over the coming years it will drive our core products and business.”
Zuckerberg expects Meta’s AI assistant — out there throughout its providers, together with Fb and Instagram — to serve greater than 1 billion individuals in 2025, whereas its open-source Llama 4 would turn into the “leading state-of-the-art model.”
Shares of the corporate had been 1.6% greater in early buying and selling.
Huge know-how firms have been investing tens of billions of {dollars} to develop AI-related infrastructure after the meteoric success of OpenAI’s ChatGPT highlighted the potential for the know-how.
President Trump on Tuesday introduced that OpenAI, SoftBank Group and Oracle will kind a enterprise referred to as Stargate and make investments $500 billion in AI infrastructure throughout america.
Earlier this month, Microsoft stated it was planning to take a position about $80 billion in fiscal 2025 to develop information facilities, whereas Amazon has stated its capital spending for 2025 can be greater than an estimated $75 billion in 2024.
Meta’s deliberate capital spending of as much as $65 billion would mark a major leap from its estimated capital spending of $38 billion to $40 billion for final 12 months.
As a part of the AI efforts, the corporate stated it might construct an AI engineer that can begin contributing growing quantities of code to its analysis and design efforts.
It is going to additionally proceed to develop the groups engaged on AI providers.
