https://t.me/geopolitics_prime/72559
🚨🇺🇸Silicon Valley's trillion-dollar debt bubble: Scam US giants are hiding from you
Five of America's largest technology companies, such as Alphabet, Microsoft, Amazon, Meta, and Oracle, are sitting on $1.65 trillion in off-balance-sheet debt, surpassing their $1.35 trillion in official liabilities, a Nikkei investigation has revealed.
▪️This shadow borrowing, facilitated by long-term Graphics Processing Unit (GPU) supply contracts and data centre leases that remain off the books until facilities become operational, has swelled eightfold in roughly four years.
▪️Four of these five companies are set to report earnings in the coming weeks. While their balance sheets may appear manageable, the hidden exposure tells a different story.
🧮 Loophole that lets them steal
▪️ The scheme is simple: they sign long-term contracts for GPUs and data centres. Under current accounting rules, these obligations stay off the balance sheet — buried in footnotes, hidden from investors, regulators, and the public.
▪️ This means that when Oracle expands its Stargate project with OpenAI through external leases, or when Meta structures a $50 billion data centre campus through a joint venture where it holds only a 20% stake, the associated debt does not appear as a liability.
🏦 Meta's shell game
The scale of this shadow borrowing varies dramatically across the five companies: 👇
▪️ Meta's shadow borrowing alone is nearly triple its reported obligations, leading the pack with approximately $420 billion in off-balance-sheet debt.
▪️ Oracle has seen its hidden debt expand more than thirtyfold over the past four years to reach $273 billion, driven largely by its aggressive expansion in AI infrastructure under the Stargate initiative.
💣 Time bomb with ticking clock
▪️ The Bank for International Settlements (BIS) has already identified this practice as a source of potential financial contagion.
▪️ In a March 2026 report, BIS economists described these off-balance-sheet arrangements as "shadow borrowing", warning that they create new channels for shock transmission to private credit funds, insurers, and banks.
If AI demand drops (and it will) these data centres become worthless. But the losses won't hit Silicon Valley first. They'll hit:
📌 Investors who funded the infrastructure
📌 Insurance policyholders who backed the loans
📌 Pensioners whose savings are tied to these opaque funds.
Global data centre spending could hit $7 trillion by 2030, and the scale of financing now entering the sector has drawn comparisons to the pre-2008 housing market.
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