Meta has launched Superintelligence Labs, a bold initiative to lead in AI by investing hundreds of billions in computing infrastructure. With new data centers, top AI hires like Alexandr Wang and Nat Friedman, and plans to commercialize advanced AI tools, Meta aims to pioneer the development of artificial superintelligence.
Meta Platforms has unveiled a sweeping new initiative aimed at propelling the company to the forefront of the artificial intelligence (AI) race, with a bold investment strategy centered on developing artificial superintelligence (ASI) and the infrastructure needed to support it.
In a post shared on Threads, Meta’s CEO Mark Zuckerberg announced the formation of Superintelligence Labs, a newly created division tasked with spearheading the company’s most ambitious AI efforts to date. The move comes amid a rapidly escalating global race among tech giants to achieve breakthroughs in AI that surpass the cognitive capabilities of the human brain.
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“Superintelligence” refers to a form of AI that would not just match, but exceed, human-level cognition across a broad range of tasks. This once-theoretical concept is now becoming a serious long-term goal for some of the world’s most powerful tech companies — and Meta is placing a massive financial bet on being among the first to get there.
“We’re going to invest hundreds of billions of dollars into compute to build superintelligence,” Zuckerberg wrote, signaling Meta’s readiness to compete with the likes of OpenAI, Google DeepMind, and Microsoft in the AI arms race.
Central to this vision is the development of a global network of large-scale data centers, designed to handle the immense computational demands of training next-generation AI models. Meta revealed that one such center, named Prometheus, is scheduled to go online in 2026. Another, dubbed Hyperion, is projected to consume as much as 5 gigawatts of power — equivalent to the electricity used by over four million U.S. homes.
Industry analysts say such a power-intensive facility signals Meta’s serious intent to lead in supercomputing and high-performance AI research, with broader implications for energy consumption, data processing, and infrastructure investments across the tech sector.
Alongside the launch of Superintelligence Labs, Meta announced a major reshuffling of leadership within its AI division. Former Scale AI CEO Alexandr Wang and former GitHub CEO Nat Friedman will co-lead the new unit — a move that has generated considerable buzz in the AI community. The appointments follow Meta’s $14.3 billion investment in Scale AI earlier this year.
These high-profile hires are part of a larger talent acquisition effort reportedly led personally by Zuckerberg, who has been actively recruiting top-tier AI researchers, engineers, and executives in recent months.
“Our goal is to build one of the most elite and talent-dense AI teams in the industry,” Zuckerberg noted, emphasizing that Meta’s long-term financial strength enables it to pursue such large-scale, capital-intensive ventures.
Superintelligence Labs will not only drive long-term AI research but also work on immediate commercial applications, including Meta’s AI assistant, AI-powered image-to-video tools for advertisers, and its line of next-generation smart glasses. These tools are part of Meta’s broader push to embed AI across its family of apps — including Facebook, Instagram, WhatsApp, and the Quest VR platform.
With nearly $165 billion in annual revenue, Meta has the financial capacity to sustain large-scale R&D while also seeking to monetize AI in ways that can support its broader business model.
Zuckerberg’s announcement reflects a major inflection point in Meta’s transformation — from a social media company to a platform at the cutting edge of artificial intelligence and computing infrastructure. By consolidating its AI efforts under Superintelligence Labs and committing unprecedented resources to computing power and top-tier talent, Meta is positioning itself as a frontrunner in the next era of technology.
As the race for artificial superintelligence heats up, Meta’s latest moves suggest that the battle will not only be fought with algorithms — but with infrastructure, talent, and vision on a truly global scale.
