Big Tech AI Infrastructure Debt Has Soared
Companies have used off-balance-sheet vehicles to fund massive data center construction as AI infrastructure costs grow.
Updated on Sept. 28, 2026 in Data Centers
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Large technology firms have increasingly turned to special-purpose vehicles and debt guarantees to manage the ballooning costs of building data centers. This practice has shielded $300 billion in AI-related debt from standard balance sheets, according to recent financial reporting.
Why it matters
These financing strategies allow companies to continue aggressive infrastructure expansion while attempting to shield their public credit ratings from the high cost of capital. As AI infrastructure spending remains intense, these arrangements complicate the assessment of long-term financial health for the sector.
Oracle raised $43 billion in debt during fiscal 2026, contributing to a negative free cash flow of $23.7 billion. S&P downgraded the company to BBB- on July 9, 2026, as Nvidia reported a 117 percent year-over-year growth in data center revenue to $89 billion.
The players
Oracle
An enterprise software and cloud computing company currently heavily investing in large-scale data center infrastructure.
Meta
A social media and technology conglomerate developing AI models and the supporting hardware infrastructure.
Blue Owl
An alternative asset manager focused on direct lending and real estate, including infrastructure investment vehicles.
Nvidia
A semiconductor company specializing in graphics processing units that power AI data center training and inference.
Ernst & Young
An international accounting firm that conducts audits and identifies critical financial reporting issues.
The details
Companies utilize special-purpose vehicles — entities established to isolate financial risk for a specific project — to facilitate massive data center construction without recording the full debt on their primary books. For instance, the Hyperion venture for AI infrastructure is owned 80 percent by Blue Owl-managed funds and 20 percent by Meta, with the vehicle raising $27.3 billion in debt. Oracle employed similar methods for its $18 billion Project Jupiter data center, while auditors like Ernst & Young have cited this off-balance-sheet accounting as a critical audit matter.
Timeline
July 9, 2026: S&P downgraded Oracle credit rating.
Fiscal 2026: Oracle raised $43 billion in debt.
December 31, 2026: Target date for AI industry downturn prediction market contract.
The Tech Race
This trend mirrors previous capital-intensive cycles where infrastructure demands outpaced traditional cash flow. The current push for AI capacity has forced companies to move beyond standard debt instruments to maintain their competitive position in the global AI hardware race.
For investors and industry followers, these financing structures create difficulty in gauging the true cost of AI deployment. The long-term stability of the sector depends on whether these high-cost data centers generate sufficient revenue to cover the massive debt service obligations incurred by parent firms.
The takeaway
The sheer scale of $300 billion in debt guarantees suggests that the industry is betting heavily on sustained AI growth to justify current expenditure levels. Watch for future credit rating adjustments and annual financial disclosures to determine if these off-balance-sheet debts are sustainable.
What happens next
Market observers are tracking the December 31, 2026, contract expiration on Polymarket, where traders have placed $2.4 million in volume on the probability of an AI industry downturn.
Further reading
Explore the current state of infrastructure expansion in the Data Centers section.
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Do you trust the accounting methods used by large technology companies to fund their AI growth?
