Meta is reportedly looking beyond its own balance sheet to fund a major expansion of AI infrastructure. According to the Financial Times, the company is in talks with financial firms to secure up to $29 billion for new data centers in the US.
The reported financing plan
The core of the plan is a large funding package built from two parts: $3 billion in equity and $26 billion in debt. That mix would give Meta access to substantial capital while limiting the added pressure on its own balance sheet.
For a company trying to expand AI infrastructure, that balance matters. Data centers require large upfront commitments, and the source article frames this financing effort as a way for Meta to keep building without carrying the full burden directly through its own accounts.
The talks are reportedly with financial firms. The source does not name those firms, and it does not say that a final deal has been reached. The important point is the scale and structure under discussion: outside financing, mostly debt, aimed at new AI data centers in the US.
Why AI data centers are central to the push
The reported funding effort sits inside a broader AI buildout. Meta is not only seeking money for data centers; it is also making related moves around power, people and AI capability.
Data centers are the physical foundation of AI infrastructure. They give companies the computing environment needed to train, run and improve AI systems. The source article does not describe the technical specifications of Meta's planned facilities, but it does make clear that the new data centers are tied to the company's AI expansion.
That context helps explain why the financing plan is notable. A package of up to $29 billion would not be a small operational adjustment. It would be a major infrastructure strategy, with financial firms potentially helping Meta scale its AI capacity in the US.
Power agreements are part of the buildout
Meta has also signed long-term power agreements as part of this push. The source article says those agreements involve a nuclear plant and energy company Invenergy.
Power is a practical constraint for large data center projects. AI infrastructure depends not only on capital and hardware, but also on reliable energy arrangements. By including long-term power agreements in the same picture as the financing talks, the reported plan shows how infrastructure growth requires coordination across finance and energy.
The source does not provide the terms of the power agreements. It also does not specify the size of the energy commitments. What it does state is that Meta has signed long-term agreements connected to the broader AI infrastructure effort.
Meta is also spending on talent and AI capability
The financing talks are one part of a wider AI campaign. The source article says Meta is aggressively hiring AI talent, including recruiting specialists from OpenAI with multi-million dollar offers.
Meta has also recently acquired a 49% stake in Scale AI for about $14 billion. The stated purpose in the source is to bolster its own superintelligence team.
Taken together, these facts point to a multi-track strategy. Meta is seeking financing for new AI data centers in the US, securing long-term power agreements, recruiting AI specialists, and making a major investment connected to Scale AI.
Each part supports the others. Data centers provide infrastructure. Power agreements support that infrastructure. Talent and strategic investment strengthen the teams and capabilities meant to use it.
What remains uncertain
The report leaves several details open. It says Meta is in talks, not that the financing has been completed. It also does not identify the financial firms involved or give a timetable for the data centers.
Those gaps matter because a reported plan can change before it becomes a final agreement. The structure may shift, the amount may change, or the talks may proceed on different terms. For now, the grounded fact is that Meta is reportedly seeking up to $29 billion, with $3 billion in equity and $26 billion in debt.
Even with those uncertainties, the direction is clear from the source. Meta is pursuing AI infrastructure at a scale large enough to involve outside financial firms, long-term power arrangements and major moves in AI talent and investment.