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US AI spending fuels hidden debt surge

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2026-08-07 10:06 UTC → 2026-08-17 13:05 UTC · added ~~removed~~

Analysts continue to highlight the scale of off‑balance‑sheet liabilities tied to AI investments by the five U.S. tech giants—Alphabet, Microsoft, Amazon, Meta and Oracle. By late July 2026 the hidden obligations had risen to about $1.65 trillion, an eight‑fold increase over four years, dwarfing the firms’ reported $1.35 trillion debt. A Nikkei analysis released on 23 July noted that Meta alone may carry $420 billion of such liability, underscoring the concentration of risk. The same day, U.S. markets saw a single‑day erosion of more than $800 billion in market value across the “Magnificent Seven” tech firms. Tesla led the sell‑off with a 14 % drop, wiping out $226 billion, while Alphabet lost $290 billion and Amazon, Meta and Microsoft each lost billions. The plunge was attributed to doubts over massive AI‑related capital expenditures and the profitability of those investments. US hyperscalers are now projected to spend roughly $700 billion on AI‑related capex in 2026, pushing the “Magnificent 7” to about 25 % of the MSCI World Index and three semiconductor firms to 30 % of the MSCI Emerging Markets Index. Analysts expect AI‑infrastructure spend to top $1 trillion in 2027 and reach $3‑4 trillion annually by 2030, while data‑center power demand could climb to 66 GW in 2027, straining the electric grid. Further, the five giants may spend $534 billion on AI capex in 2027 against a $340 billion rise in free cash flow, risking cash‑flow shortfalls. Credit markets are already demanding higher spreads as free cash flow turns negative for the largest cloud providers, while chip and hardware suppliers enjoy a “shovel‑vs‑miner” profit swing. Investors remain focused on upcoming earnings reports to see whether AI‑driven growth can be reconciled with rising hidden debt, tighter cash flow and mounting concentration risks.

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