Just days after reports revealed that Google had limited Meta’s access to Gemini because of soaring demand for AI computing power, Meta is now preparing a move that could reshape its place in the AI industry.
According to reports, the company is developing plans to sell excess AI computing capacity to outside customers through a new cloud infrastructure business. If the plan moves forward, Meta would no longer be just one of the world’s biggest buyers of AI infrastructure; it would also become a supplier, competing with established cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud.
Meta Wants to Turn AI Spending Into a Business
Meta has spent tens of billions of dollars building AI infrastructure, including data centers and advanced chips, to support its growing artificial intelligence ambitions. The company expects to spend between $125 billion and $145 billion on AI infrastructure this year, one of the largest AI investment plans announced by any technology company.
Now the company is looking at ways to generate revenue from that ongoing investment.
People familiar with the plans told Bloomberg that Meta is exploring two offerings. One would allow developers to access AI models hosted on Meta’s infrastructure, similar to how Amazon offers models through its Bedrock platform.
The second would give customers access to raw AI computing power, putting Meta in more direct competition with AI focused cloud providers such as CoreWeave and Nebius.
The reported initiative is being developed under an internal project known as Meta Compute, which oversees the company’s AI infrastructure efforts.
A Sharp Contrast to Last Week’s Gemini Reports
The timing of this deal makes the development particularly notable. Last week, the Financial Times reported that Google had capped Meta’s access to Gemini after Meta requested more AI computing capacity than Google could provide. Reuters reported that the shortage disrupted some of Meta’s internal AI projects and forced employees to use AI tokens more efficiently.
It was also highlighted just how difficult it has become for even the world’s largest technology companies to secure enough computing power as demand for AI continues to rise.
Now, Meta appears to be preparing for a future where it could supply computing resources to other companies instead of relying solely on rivals.
Why The Move Matters
Building AI infrastructure has become one of the biggest expenses for major technology companies. Selling unused computing capacity could help Meta recover part of those costs while creating a new source of revenue beyond its advertising business.
It would also place Meta in direct competition with companies that have long dominated the cloud market, including Amazon, Microsoft, and Google. At the same time, it could increase pressure on newer AI cloud providers whose businesses are built around renting computing power to AI developers.
For now, the plans are still under development and could change before any service launches, as Meta has not publicly confirmed the reports.
Still, the quick shift from being the company limited by another firm’s AI infrastructure to one preparing to sell its own computing capacity to the rest of the market shows how quickly the competition for AI infrastructure is changing and why access to computing power has become just as important as building the models themselves.
