The Debt Leverage Amid the AI Frenzy—The Trigger for the Next Financial Storm?

```

The enormous capital demand for building AI infrastructure is being deeply tied to the global financial system through an increasingly vast debt market.

On the 19th, StockMarket.News posted on X, arguing that the core driver of this trend is the rapidly expanding capital expenditures of tech giants. Take Amazon, whose capital spending surged 75% year-over-year, reaching nearly the same level as its operating cash flow. Faced with such a huge funding gap, traditional equity financing has become difficult to sustain, forcing companies to turn to the bond market and private credit for support.

The market response has been extremely enthusiastic. Amazon's recent $15 billion bond issue attracted up to $80 billion in subscription demand, showing institutional investors’ intense "craving" for yields in the current environment of high valuations, low interest rates, and fierce competition. Pension funds, mutual funds, and insurance companies have become the backbone of this financing wave, allocating massive amounts of capital to AI-related debt instruments, tightly linking the savings of millions of ordinary investors to the future of the technology industry.

This model is raising concerns about risk transmission in the market. Analysts believe that this approach—widely dispersing high-leverage, concentrated sector bets throughout the financial system—shares similarities with the mortgage market before the 2008 financial crisis. If cracks appear in the investment logic underpinning “AI infrastructure” as the underlying asset, the consequences will reach far beyond Silicon Valley alone.

Capital Thirst Breeds Debt Dependence

The essence of the AI race is a battle of capital consumption. To build computing infrastructure, tech companies are investing unprecedented sums. According to a previous WallstreetCN article, Bank of America stated that the five major US cloud giants (Amazon, Google, Meta, Microsoft, Oracle) have issued a total of $121 billion so far this year, more than four times the five-year average of $28 billion. This flood of bond supply has had a significant impact on the market, with cloud giant bond spreads widening sharply—Oracle’s widening by 48 basis points, Meta and Google by 15 and 10 basis points respectively—vastly underperforming the broad investment-grade bond index.

Meanwhile, Bank of America expects supply to remain around $100 billion in 2026, not accelerating further.

According to market analysis, AI infrastructure projects alone are expected to require about $800 billion in private credit funding between 2025 and 2028, amounting to a third of all expected infrastructure investment in the field over that period.

Given these circumstances, taking on debt becomes an inevitable choice. When a company’s capital expenditure matches or even exceeds its internal cash generation (i.e., operating cash flow), external debt financing shifts from being an option to a necessity. Amazon is not alone; tech giants such as Meta and Oracle are implementing similar financing arrangements, often packaging and tranching debts via off-balance-sheet vehicles and asset-backed securities, then selling to investors with varying risk appetites.

The strong financing demand happens to match institutional investors’ “yield dilemma.” Amid high equity valuations and limited returns from traditional fixed-income products, debt products tied to the high-growth AI sector provide especially attractive alternatives.

The oversubscription of Amazon's bonds is emblematic. Huge demand propels such transactions rapidly into the market, with pricing usually compressed further overnight—sometimes allowing bond managers to reap instant paper profits even before the relevant infrastructure is completed. This pursuit of yield is driving managers of long-term capital such as pension funds and insurance companies to make AI-related debt a key part of their portfolios.

From Tech Giants to Pensions: How Is Risk Transmitted?

The key risk in this financing structure is its broad transmission. Unlike equity financing limited to a few specialist investors, these debts are widely allocated throughout the financial system via the portfolios of pension, mutual, and insurance funds.

This means that if the AI sector sees growth fall short of expectations, technological approaches get falsified, or projects default, prompting rapid repricing of related debt assets, the impact will quickly spread. Forced selling could trigger chain reactions, causing cross-sector asset price declines and typical "contagion" effects. In this mechanism, risks originating from a single tech company could eventually evolve into a systemic crisis for the entire financial system.

Market watchers warn that the current situation is eerily similar to the mortgage market before the 2008 financial crisis. Back then, financial institutions chased high returns from products backed by subprime mortgages, assuming the stability of those underlying assets. However, high leverage and concentrated bets on the real-estate market ultimately led to disaster.

Now, the market appears to have fallen into analogous logic: everyone is chasing yields, assuming AI's growth prospects are solid and reliable. But its underlying structure is just as inherently risky due to high leverage and heavy, undiversified investment in a single sector. Should the investment thesis for "AI infrastructure" crack, the shockwave will hit not only tech companies or banks, but directly reach every retail investor and retiree connected to institutional investment portfolios.

Risk Warning and DisclaimerThe market has risks, investment should be made cautiously. This article does not constitute personal investment advice, nor does it take into account the specific investment objectives, financial situations, or needs of individual users. Users should consider whether any opinions, views, or conclusions in this article suit their own circumstances. Investments made accordingly are at their own risk. ```