- Meta will spend hundreds of billions on AI infrastructure, including Manhattan-sized data center campuses.
- First sites, Prometheus in Ohio and Hyperion in Louisiana, will deliver multi-gigawatt capacity.
- CEO Mark Zuckerberg is recruiting top AI talent with offers up to $200M over four years.
- The move intensifies competition with OpenAI, Amazon, and Google in the AI arms race.
Meta’s AI Megaplan
Meta is pushing the boundaries of infrastructure spending in the race for AI dominance, reports Bisnow. On Monday, CEO Mark Zuckerberg revealed that the company plans to build multiple massive AI data center campuses. These facilities, described as “titan clusters,” will each span a Manhattan-sized footprint. They are expected to deliver multi-gigawatt capacity.
This unprecedented investment marks a major shift in the AI arms race. Meta is joining tech giants like OpenAI, Amazon, and Google in building the infrastructure needed to support more advanced models and compute-intensive workloads.
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Prometheus And Hyperion
The company’s first new campus, Prometheus, is currently under development in Ohio and will be the first to exceed 1 GW of capacity, according to a report by SemiAnalysis. Meanwhile, Hyperion is a gas-powered site located in Louisiana’s Richmond Parish. It is slated to scale to more than 5 GW of capacity. This makes it one of the largest AI campus projects announced to date.
Both sites are scheduled to come online in the next few years and are only the beginning. Zuckerberg confirmed additional campuses are in the pipeline, each capable of delivering compute on a previously unseen scale.
Recruiting For Superintelligence
Beyond hardware, Meta is doubling down on AI talent.According to reports, Zuckerberg has personally led high-stakes recruitment efforts. He has offered compensation packages worth up to $200M over four years. These offers aim to attract employees from top firms like OpenAI and Apple.
Zuckerberg described the initiative as a core part of Meta’s “superintelligence effort,” emphasizing the company’s intention to lead the field not just in infrastructure, but in talent density and innovation.
Why It Matters
Meta’s move could redefine the competitive landscape in artificial intelligence. Its commitment to large-scale infrastructure — rivaling the biggest capital expenditures in tech history — highlights the central role data centers play in the race toward advanced AI.
With billions already committed and more campuses on the horizon, Meta is positioning itself as a dominant force in the next era of AI development — one where compute power may determine the leaders of tomorrow.
What’s Next
The first Meta AI campus, Prometheus, is expected to be operational in 2026. Industry observers are watching closely to see how Meta’s infrastructure bet will impact the AI ecosystem, including chip demand, talent acquisition, and regulatory scrutiny. With the scale of investment already rivaling national-level infrastructure projects, the ripple effects could be global.