To The Moon

🚨 AI’s Next Big Risk May Not Be a Stock Market Crash. It Could Be a Credit Market Crisis.

Oracle is leading 17 companies into the US investment-grade bond market, with weekly issuance expected to reach approximately $45 billion. At first glance, this looks like companies taking advantage of a favourable financing window ahead of the US midterm elections and NFP data.

But I think there’s a bigger story here.

1️⃣ Oracle is becoming a test case for AI financing

Oracle is raising $20 billion through a combination of $10 billion in new debt and $10 billion in equity.

The interesting part? Its new bonds carry coupons ranging from 7% to 8.65%, while its outstanding borrowings already stood at approximately $125 billion as of August.

This raises an important question: How much debt can a company accumulate before its AI expansion becomes a balance-sheet problem?

2️⃣ The real danger is the gap between AI investment and cash generation

Building AI infrastructure requires enormous upfront capital:

* Data centres and computing infrastructure.

* GPUs, memory and networking equipment.

* Electricity, cooling and long-term power commitments.

Revenue may take years to catch up with investment.

If companies continue expanding faster than their operating cash flow, they become increasingly dependent on external financing.

And debt isn’t free. Higher interest expenses can eventually eat into earnings, while refinancing becomes more expensive if credit conditions deteriorate.

3️⃣ But not every AI giant is equally exposed

This is where investors need to differentiate.

Microsoft, for example, recently raised $25 billion through bonds, but its strong balance sheet and substantial free cash flow provide a different level of financial flexibility.

Compare that with companies whose expansion plans rely heavily on continuous borrowing and future AI revenue assumptions.

The same AI opportunity does not mean the same credit risk.

4️⃣ What should investors watch next?

I would focus on four indicators:

📌 Free cash flow: Is the company generating enough cash after capital expenditure, or is it burning through cash?

📌 Debt growth: Is borrowing growing faster than revenue and operating cash flow?

📌 Credit spreads: Are bond investors demanding increasingly higher premiums to lend to AI-related companies?

📌 Capex returns: Are massive AI investments translating into actual revenue, margins and customer demand?

5️⃣ My investment takeaway

I am not calling for an immediate AI crash. In fact, AI infrastructure demand could remain strong for years.

But I believe we are entering a different phase of the AI cycle.

Previously, the market rewarded companies simply for announcing aggressive AI investment plans. Going forward, investors may increasingly reward companies that can demonstrate actual returns on that investment.

The next winners may not necessarily be the companies spending the most, but those capable of turning AI spending into sustainable free cash flow.

And if credit markets begin tightening, the impact could extend far beyond Oracle — affecting data-centre operators, semiconductor suppliers, power infrastructure and even the broader equity market.

One question worth asking:

If AI is truly the next industrial revolution, will today’s massive borrowing be remembered as a smart investment in future growth, or the beginning of an expensive capital-allocation mistake?

I’m watching cash flow and balance sheets just as closely as AI revenue growth now. 👀

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