Meta secures $13 billion financing for El Paso AI data centre, setting new record for single-site deal

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Meta is assembling a $13 billion financing package with Morgan Stanley and JPMorgan for its El Paso AI data centre in Texas. The deal represents one of the largest single-site digital infrastructure financings ever and signals strong institutional credit demand for AI infrastructure projects as Big Tech races to expand capacity.

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Meta Assembles Record-Breaking Financing for Texas Facility

Meta is working with Morgan Stanley and JPMorgan Chase to secure a $13 billion financing package for its El Paso data center in Texas, according to sources familiar with the matter

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. If completed at the discussed size, this would mark one of the largest single-site AI infrastructure financing deals ever assembled

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. The package is expected to consist mostly of project-level debt, with a smaller equity portion, as Meta continues to scale its artificial intelligence infrastructure at an accelerating pace

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Rapid Expansion of El Paso AI Data Centre Investment

The financing reflects Meta's aggressive expansion plans for the El Paso, Texas facility. In March, the company increased its planned investment in the site by more than sixfold to over $10 billion

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. Meta is now targeting approximately 1 gigawatt capacity ahead of the facility's projected 2028 opening

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. The company has been increasing the scope of the project on a near-quarterly cadence, and the new $13 billion financing package extends that scaling trajectory

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. This rapid escalation underscores the intensity of Big Tech's push to expand their data center capacities in response to surging AI demand.

Project Finance Becomes Standard for AI Infrastructure Projects

Project-level financing has emerged as the standard structural approach for AI data centres at scale. The Meta deal follows a pattern established by other major AI infrastructure projects, including Blackstone's $1.75 billion IPO of a publicly listed data-centre REIT designed to give investors access to infrastructure trades, and Oracle's $16.3 billion Stargate-related financing anchored by Pimco

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. The El Paso deal pushes single-site AI infrastructure financing to a new ceiling, demonstrating how AI infrastructure has evolved into a category of project finance comparable to national infrastructure projects like pipelines and ports

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Strategic Logic Behind Massive Debt Raise

The financing strategy addresses Meta's extraordinary capex guidance for 2026, which now sits between $125 billion and $145 billion—a significant step-change from historical baselines

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. Funding that level of capacity from operating cash flow alone would compress free-cash-flow generation in ways that public markets would resist, even amid current AI-friendly sentiment

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. Project-level debt structured against contracted capacity, leased to Meta itself as a creditworthy operator and amortized over decades, offers a cleaner financial solution

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. This approach allows Meta to maintain balance sheet flexibility while pursuing aggressive infrastructure expansion.

Strong Institutional Credit Demand Signals Market Confidence

The sheer size of the Meta El Paso package serves as a critical credit-market signal. Morgan Stanley and JPMorgan are not arranging $13 billion into a market with thin appetite

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. The fact that the package is expected to clear at this scale, against a single counterparty's lease, indicates that institutional credit demand for AI-infrastructure paper remains broad enough to absorb deals of this magnitude

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. However, whether this absorption capacity persists if AI capex moderates or if lease rates compress remains an open question that will only become clear over time

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Big Tech's Unprecedented Infrastructure Spending Spree

Meta's financing move reflects a broader industry shift as Big Tech firms depart from their long-standing reluctance to raise debt to gain an edge in the AI race

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. Meta and its rivals Amazon, Alphabet, and Microsoft are projected to spend over $630 billion on AI infrastructure this year

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. This massive capital deployment demonstrates how artificial intelligence infrastructure has become central to competitive positioning among technology giants, with companies willing to leverage their balance sheets to secure capacity ahead of rivals.

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