Meta seems to be aggressively expanding its AI capabilities, as according to a new post by CEO Mark Zuckerberg, the firm plans to add over 5GW of AI compute over the next years.
Meta's Next Moves Might Be Much Bigger Than Poaching AI Talent, Hundreds of Billions To Be Invested By Zuckerberg
Meta has been taking control over the AI segment in the past few months, especially since the company has been spending billions not just in infrastructure, but also in assembling a quality team. The firm has created a top-tier AI team, which Zuckerberg has assembled under Meta’s Superintelligence Labs, and it contains key personalities who are regarded as the elite talent in the industry. Now, Meta seems to be more focused on expanding AI computing capabilities, as the firm plans to invest $65 billion in AI CapEX by the end of the year, opening up "multi-GW" AI clusters.
Zuckerberg has revealed that Meta's first 1GW lab, Prometheus, will come online in 2026. Similarly, the next big project, Hyperion, will scale up AI compute to 5GW over the next few years, and these are the company's more mainstream projects. Meta will also build several clusters over time, which shows that the firm plans to go all-in with computing capabilities, and more importantly, overtake Big Tech in this segment.
One of the world's fastest supercomputers, the El Capitan, has a reported power consumption of 30 megawatts, so Meta is essentially building clusters about 160 times higher in power requirements. This is simply top-tier stuff from the company, and likely Meta's plans to take the AI hype to new levels, driven by its Llama models.
Talking about their Superintelligence Labs, Meta has recruited the likes of Scale AI's former CEO, Alexandr Wang, along with top AI researchers from OpenAI, which created a whole new fiasco in the industry, accusing Meta of poaching talent. At this pace, Zuckerberg might spend "hundreds of billions" in the AI hype, marking another wave of capital poured into this segment. Ultimately, Meta's CEO envisions tapping into the AGI segment way before Big Tech, by spending massively.
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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