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1Here are the big points, explained simply:
Artificial intelligence (AI) used to be just a "cool tech" story. Now it is also a "money" story. Every big hyperscaler is racing to build AI data centers, buy smart computer chips, and get enough electricity to run the next generation of computing. This race needs a HUGE amount of money, and more and more they are borrowing it.
Important Point: Equity (stock) investors are happy about the spending, hoping today’s spending becomes tomorrow’s profits. But bond investors (people who lend money) want more reward for the bigger risk. This does NOT mean Big Tech is in trouble — it means AI’s costs are getting too big to ignore.
Stock prices get the headlines, but bond markets often give a calmer check-up of a company’s health. One clear signal is the credit default swap (CDS) market.
According to Bloomberg data:
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Even though these numbers are low for healthy companies, the trend matters:
Important Point: Investors are paying more to protect against credit risk, but they still expect these companies to stay financially okay.
Bloomberg says these companies borrowed a combined $182 billion in investment-grade bonds during 2026:
That is a 1,300% increase from the prior year and about 15% of all U.S. corporate bond issuance this year.
This borrowed money funds AI infrastructure, not daily operations:
Borrowing to grow is not new — but the scale is. Oracle is a good example:
It is tempting to think higher CDS spreads mean "they will default!" That is the wrong conclusion.
The real message is more subtle:
The AI boom is reshaping not just tech, but credit markets:
This is NOT a reason to dump Big Tech. Amazon, Microsoft, Alphabet, and peers still make enormous cash flow to support plans. But smart investors see the era of cheap, unlimited AI spending ending — balance sheet strength now matters as much as innovation.
Ultimately, companies that grow without over-borrowing should give the best long-term returns.
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Over 50,000 people already have, plus General Motors and POSCO. Why the buzz?
Contact editorial@247wallst.com for questions or corrections.
AI changed from a tech story to a money story. In 2026, top hyperscalers borrowed $182B (up 1,300%) for AI builds. Bond insurance costs (CDS spreads) rose — Oracle at 75 bps, others ~49 bps — showing more risk, not imminent default. Stockholders cheer; bondholders are cautious. Big Tech still makes big cash, but balance sheet health now counts. Also note: EnergyX (lithium, $1B+ valuation) allows investment only until July 16 (sponsor).
What is a hyperscaler?
A hyperscaler is a giant tech company that runs huge cloud and data center operations, like Amazon, Google, Microsoft, Meta, Oracle, and Nvidia.
What does "basis point" mean?
A basis point is a tiny unit of measuring interest or cost. 1 basis point = 0.01%. So 75 basis points = 0.75%.
Does a higher CDS spread mean a company is failing?
No. It means insurance against default costs more, showing higher risk. Real trouble shows spreads in hundreds or thousands, not 49–75.
Why are tech companies borrowing so much now?
They need massive funds to build AI data centers, buy chips, and power them — far more than daily operations require.
What is the EnergyX mention about?
It is a sponsored note: EnergyX is a lithium startup valued over $1B, open to public investment only until July 16, backed by GM and others.