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AI Boom Faces Debt Pressure as 5% Yield Threshold Looms
Big technology companies are spending huge amounts of money to build AI data centers and buy computer chips.
At first, they mostly paid for this spending with money from their businesses.
Now, they are increasingly borrowing money.
Borrowing becomes more expensive when long-term interest rates rise.
The 10-year Treasury yield has moved above 5%, which can make investors less willing to pay very high prices for AI-related stocks.
Some companies are earning more from cloud services, but their spending is growing even faster.
Oracle has shown how this can create financial pressure, with large debt and negative free cash flow.
Supporters say AI could eventually become productive enough to justify the investment.
Critics worry that the industry may be building more capacity than its current revenue can support.
Microsoft, Alphabet, Amazon, and Meta may spend $720 billion-$760 billion on 2026 capital expenditure, up from about $410 billion in 2025.
The 10-year Treasury yield reached about 5.12% on September 24, 2026, raising concerns about AI valuations and government debt.
Hyperscalers are increasingly using debt to fund AI infrastructure as spending approaches 94% of operating cash flow after dividends and buybacks.
Oracle was downgraded to BBB after reporting negative $23.7 billion in fiscal 2026 free cash flow, while its credit-default-swap costs reached a record high.
AI revenue is growing rapidly, but Allianz Research estimates the gap between AI capital expenditure and revenue growth reached 46% in 2026.
- Who
- Microsoft, Alphabet, Amazon, Meta, Oracle, and other hyperscalers and AI infrastructure companies.
- What
- A rapid increase in AI infrastructure spending is colliding with higher interest rates, rising debt costs, and concerns about whether revenue will justify the investment.
- Where
- The developments concern U.S. technology and debt markets, including the U.S. Treasury market.
- When
- The analysis focuses on 2025 and 2026, including developments through September 24, 2026.
- Why
- Hyperscalers are spending heavily on data centers, chips, and leases while increasingly relying on debt, and long-term yields above 5% are putting pressure on valuations and financing costs.
AI Growth Case
Debt and Valuation Risk Case
Will AI investment eventually pay off?
AI Growth Case
AI-driven productivity gains could eventually outpace debt and fiscal pressures. Strong growth in cloud and Azure-related revenue, along with Microsoft capacity constraints, suggests there is real demand.
Debt and Valuation Risk Case
Revenue growth remains much smaller than the roughly $750 billion in annual capex being deployed, and the gap between spending and revenue growth may be widening.
Meaning of the 5% yield threshold
AI Growth Case
The 5% level may create temporary market volatility rather than end the AI boom, particularly if yields later fall and productivity gains materialize.
Debt and Valuation Risk Case
Yields above 5% reduce the equity risk premium for high-multiple growth stocks, raise borrowing costs, and have coincided with semiconductor selloffs and pressure on AI-related valuations.
How serious is hyperscaler leverage?
AI Growth Case
Large companies continue to generate significant cloud revenue, and some spending is supported by order backlogs and strong demand.
Debt and Valuation Risk Case
Debt-funded capex, off-balance-sheet data-center leases, worsening bond yields, and Oracle's downgrade indicate that the sector's underlying leverage may be greater than headline debt figures show.
Key facts
- Projected 2026 hyperscaler capex
- $720 billion-$760 billion for Microsoft, Alphabet, Amazon, and Meta
- 2025 comparison
- About $410 billion in capital expenditure
- 10-year Treasury yield
- About 5.12% on September 24, 2026
- AI spending versus available cash
- AI capex is estimated at 94% of operating cash flow minus dividends and buybacks in 2025-2026
- Oracle free cash flow
- Negative $23.7 billion in fiscal 2026
- Future data-center leases
- The five largest hyperscalers had $969 billion in undiscounted commitments at the end of 2025, including $662 billion off balance sheet
- AI capex-revenue divergence
- Allianz Research estimated the gap at roughly 46% in 2026
Quotes
Unnamed strategist
A strategist cited in the article commenting on the AI trade's vulnerability before the Treasury yield crossed 5%.
“already broken before yields hit 5%”
NDTV
Sources
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