Has the bond market seen through the truth of the AI bubble?

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The stock market’s enthusiasm for AI investments remains unabated, but the bond market is quietly sending warning signals.

As AI capital expenditures from hyperscale cloud companies continue to climb, tolerance in the credit market is noticeably narrowing. Meta’s $27 billion "Hyperion" financing bond fell from a premium above 109 to about 97, and Alphabet’s stock dropped nearly 7% in a day after raising its capex guidance despite reporting strong growth in its cloud business. The market is reassessing a core question: Can AI revenue growth arrive before spending hits its peak?

The divergence between equity and credit markets is intensifying. Credit spreads show investors are becoming increasingly cautious about the economic returns of AI spending, while equity valuations remain loose. According to The Market Ear analyst Privorotsky, if the stock market eventually converges toward the credit market, hyperscale cloud company stock prices may face substantial downward pressure.

Credit Market Signals the Warning First

Pressure in the AI bond market is already evident. Meta’s $27.3 billion Hyperion financing bond was priced at par at issuance, briefly traded above 109, but has now fallen back to around 97.

Privorotsky points out that the deeper concern in the market is that as capital expenditures accelerate, free cash flow conversion rates are consistently deteriorating. Investing in hyperscale cloud companies is essentially a bet that AI revenue will scale before spending peaks. If this timing is misaligned, the computing infrastructure being built now could become excessive capacity in the future, and increased depreciation costs would also start flowing onto profit statements, creating dual pressures.

Alphabet Becomes the Turning Point for Market Sentiment

The latest earnings report from Google’s parent Alphabet highlights the conflicting attitudes toward AI spending in the market. Despite reporting impressive operational performance, including an 82% year-on-year growth in cloud business, Alphabet’s stock fell 6.9% after the earnings release.

The main trigger for the sell-off was the company raising its 2026 capital expenditure guidance to between $195 and $205 billion, and recording negative free cash flow of $5.9 billion for the quarter. Notably, Google’s stock closed below its 200-day average for the first time since last June.

Privorotsky notes that Google’s aggressive spending plan puts pressure not only on itself but also raises the capital expenditure benchmark for the entire industry, further increasing competition among other hyperscale cloud companies. Investors are becoming increasingly impatient with the narrative that AI spending is “costless.”

Interest Rate Sensitivity Quietly Rises

The "Magnificent Seven" tech giants are still strong cash flow generators, but large-scale AI construction is changing their market attributes.

According to LSEG Workspace data, the MAGS index is highly correlated with the inverse of the US 10-year Treasury yield; meanwhile, MAGS also shows an almost perfect negative linkage with bond market volatility.

The logic behind this phenomenon is that as AI capital expenditures keep expanding, the market’s pricing logic for hyperscale cloud companies is undergoing a structural shift—they are increasingly less like traditional high cash-flow tech companies and more like long-duration assets highly sensitive to interest rates.

AI Debt Wave Reshaping Credit Markets

AI’s impact is no longer limited to equity markets; it is profoundly reshaping credit market structure.

According to Goldman Sachs data, driven by record-breaking bond issuance from hyperscale cloud companies, the scale of investment-grade bond issuance is now increasingly surpassing US Treasury supply.

The issue is no longer whether these companies can finance smoothly, but whether this flood of bond issuance will begin to crowd out other credit market participants, thereby raising overall financing costs.

Equity-Bond Divergence: Who Will Converge to Whom?

The market’s most notable structural contradiction right now is the significant divergence between credit and equity markets. The widening of credit spreads suggests bond investors are becoming cautious about the economic viability of AI spending, while equity markets remain considerably tolerant to the same risks.

Privorotsky points out that this divergence itself constitutes risk exposure: if equity valuations ultimately converge toward credit market pricing logic, hyperscale cloud company stock prices may still have considerable downside. The bond market may not be bearish on AI, but is pricing in advance a more realistic question—how much time is left between spending and returns.

Risk Warning and DisclaimerThe market has risks, and investment needs caution. This article does not constitute personal investment advice and does not take into account individual users’ special investment goals, financial situations, or needs. Users should consider whether any opinion, viewpoint, or conclusion in this article fits their specific circumstances. Invest accordingly, at your own risk. ```