Here’s a clear, updated summary in Meta is doing — based on current reporting:

Meta’s $600 Billion AI Data-Center Push

Meta is planning to invest over $600 billion in the U.S. by 2028, with a large portion of that going into AI-optimized data centers and infrastructure.
This massive capital commitment is part of Meta’s ambition to scale its AI capacity, support superintelligence efforts, and build out its future computing needs.

Compute Power Needs
- To train and run large AI models, Meta needs huge data centers. It’s “front-loading” capacity to be ready for very aggressive AI growth scenarios.
- The company expects to bring around 1 gigawatt of compute power online this year.
Economic and Community Impact
- Meta claims its data center projects support thousands of jobs: over 30,000 skilled-trade jobs since 2010.
- It’s also investing in local infrastructure: roads, water systems, and power grid upgrades near its data centers.
- On the social side, Meta has donated $58 million through its “Data Center Community Action Grants” to schools, non-profits, and community groups.
Sustainability Focus
- Meta is coordinating with utilities to support energy needs, and so far has helped enable 15 GW of new grid capacity.
- It’s also designing its data centers to minimize water use, and is aiming to be “water positive” by 2030, restoring more water than it consumes.

One of the flagship projects is the Hyperion data center campus in Louisiana. This will eventually scale to 2 GW+ of compute power.
Meta is building this together with a partner, including utilities and local contractors, to make sure the power and infrastructure needed for such a massive facility are in place.
Another “supercluster” called Prometheus is expected online in 2026; it’s part of Meta’s “superintelligence” roadmap.

This isn’t just about data centers: Meta is betting on long-term AI dominance. It wants to control the compute backbone for future AI systems, not just use someone else’s cloud.
By making these investments, Meta is positioning itself to be a major infrastructure player in the AI space.
At the same time, it’s trying to make its buildout sustainable, both environmentally and socially, which could help it avoid some of the backlash big tech often faces.