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Wall Street is starting to price AI spending as a credit risk, not just a growth story

Bond investors widen spreads on Amazon, Meta and Alphabet debt as Moody's flags strain from 'unprecedented' AI outlays

BEBy brt.news Editorial, Newsroom·Jul 26, 2026·2 min read
Wall Street is starting to price AI spending as a credit risk, not just a growth story
Reporting based on public data sources. See Sources below.
TECH & AI · brt.newsTech AI Spending Repriced as RiskGrowth narrativeCredit risk$797 billionMag 7 Stock LossSingle selloff, Bloomberg$890 billionBroader Tech WipeoutAI spending-linked losses, WSJ$767 billionAlt Mag 7 Loss CountBloomberg secondary figure◆ Wall Street · Big Tech · 2025Bloomberg, WSJ, Moody's, Yahoo Finance, Reuters, CNBC

Big tech's AI spending is no longer a pure growth narrative. It is now a credit story, and bond markets are treating it that way.

For years, investors cheered every dollar poured into AI infrastructure as a bet on future dominance. That consensus cracked this week.

The damage was immediate and large. Magnificent 7 stocks lost $797 billion in one selloff, according to Bloomberg reports, with a separate Bloomberg account putting the figure at $767 billion as AI skeptics dumped tech shares. WSJ pegged the broader tech wipeout even higher, at $890 billion, tying the losses directly to runaway AI spending.

The stock rout is only half the picture. Moody's warned that unprecedented AI spending is straining the credit quality of Amazon, Meta and Alphabet, three companies long treated as balance-sheet fortresses. Credit spreads for Google, Amazon and Meta are widening in response, meaning bond investors now demand more compensation to hold AI-related debt from firms once considered nearly risk-free.

That shift matters more than the equity losses alone. Stock selloffs can reverse on sentiment. Credit spreads move on colder math: how much debt a company is taking on, and whether its cash flows can cover it. When Moody's uses the word unprecedented about spending levels at three of the world's most profitable companies, it signals the debate has moved past valuation multiples into balance-sheet durability.

None of this proves the AI buildout is unsustainable. It shows the market is no longer willing to fund it without asking harder questions. Equity investors erased hundreds of billions in value in days. Bond investors, moving more slowly, are now demanding a higher price for the same risk. Both signals point the same direction: the era of unquestioned AI capital spending is being repriced, in real time, by the two markets that matter most.

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