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- AI Dreams, Jumbo Debt, And A Stock That Forgot It Was Up 30%
AI Dreams, Jumbo Debt, And A Stock That Forgot It Was Up 30%
Monster backlog, jumbo bond deals, and a share price that just took a 37% round trip. This is what happens when the market loves your AI story and then suddenly remembers the bill.
You do not need to read every bond prospectus or model every data center to follow this one. Think about three things instead: how much future revenue is already locked in, how the company plans to pay for all the concrete and GPUs it keeps ordering, and whether today’s stock price assumes an AI fairy tale or just a normal, slightly stressed growth story.

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What Just Happened
Oracle (ORCL) has had a year that looks like a meme stock drew the chart.
Up ~33% year to date
Down ~37% from a mid-September high near $346 to the low $200s
Now trying to stabilize in the low $220s ahead of earnings
The big mood swing started after the company went all-in on AI infrastructure.
Key plot points:
A headline $300B compute deal with OpenAI over about five years starting in 2027
Remaining performance obligations (RPO) jumping 359% to ~$455B and expected to push past $500B
An $18B jumbo bond sale in September and total debt climbing to about $112B while cash sits near $10B
Credit default swaps (insurance against default) ripping higher as bond investors hedge their nerves
Earnings on Dec 10 are the next test. Street numbers call for roughly $1.64 in EPS (up ~12%) on about $16.2B in revenue (up ~15%).
That is solid on paper. The question is whether that feels big enough to justify the AI build-out and the balance sheet diet plan.

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The Strategy
Under all the acronyms, the game plan is pretty simple.
Turn Oracle Cloud Infrastructure into one of the main places where AI labs and big companies run high-density workloads
Lock in massive, multi-year contracts with anchor customers like OpenAI, xAI, and Cohere
Use that backlog to fund a wave of data centers, including mega-sites in New Mexico and Wisconsin
Lean on the old high-margin database and software business to keep cash flowing while the new stuff ramps
Think of it as a classic old software plus new pipes story. One side throws off cash, the other side burns cash now in hopes of much bigger cash later.
If it works, Oracle graduates from legacy database name your parents used to one of the core landlords of AI compute.

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Why The Stock Got Smoked Anyway
If the backlog is exploding and hyperscalers are lining up, why did the stock just lose almost 40% of its value in three months?
A few simple reasons:
Debt math suddenly matters
The company is now one of the biggest non-financial investment-grade borrowers, with analysts expecting another $20–30B in debt each year for a while. That is a lot of leverage to stack on for a story that is still in the promise phase.Free cash flow has not caught up yet
The data centers and nuclear-adjacent power dreams look impressive, but they are not yet throwing off cash at a rate that calms bond investors.Credit market vibes turned sour
Five-year CDS spreads moved to multi-year highs as investors bought protection. When debt holders start paying up to hedge, equity holders get jumpy fast.Concentration risk is loud
A huge chunk of the future AI revenue story rides on one logo. OpenAI is a very shiny logo, but it is still just one customer.AI bubble chatter is back
After a long run where anything with AI in the deck got rewarded, people are now asking awkward questions about financing, returns, and timelines.
None of this says the thesis is broken. It just means the market went from AI rocket ship to show me the receipts in record time.

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The Good Stuff You Can Actually Like
Backlog that is not made up
RPO pushing past $500B is not a vibes number. It is contracted revenue that has not hit the income statement yet. If Oracle keeps converting that into real sales on schedule, it gives a long runway for growth.Discount versus the usual suspects
The forward P/E has fallen from above 40x to around the high-20s. That is still not cheap in absolute terms, but it is now below Microsoft and in line with some big software names rather than priced like a pure AI lottery ticket.Cloud growth that is actually fast
Oracle Cloud Infrastructure is expected to grow north of 70% this fiscal year. That is chasing the leaders speed, not coasting on maintenance renewals.Wall Street is nervous but not out
A big chunk of analysts still rate the stock a Buy. Mizuho, Bernstein, Barclays and others see the pullback as a chance to get in, with some targets in the $330–$400 range, implying chunky upside if the story re-rates.
Financing options beyond straight debt
Management can lean on vendor financing, capital leases, off-balance sheet structures, and possibly sovereign or partner capital. Oracle does not have to fund every watt the same way.

The Rub You Should Respect
Leverage is not a rounding error
Over $100B of total debt with plans to raise $20–30B per year for several years is a serious commitment. If the macro backdrop turns or AI demand slows, that leverage becomes a real constraint.Backlog does not pay coupons by itself
RPO is great, but bondholders get paid in cash, not slides. If revenue and free cash flow do not ramp fast enough, the balance sheet story gets tight.Customer risk is real, not theoretical
A $300B OpenAI deal sounds fantastic. It also means one partner’s model wars, regulatory headaches, or funding issues can spill back into your narrative.AI infra is brutally capital-intensive
Building data centers at this scale is not like spinning up a SaaS module. Everything is expensive, takes years, and depends on regulators, utilities, and chip supply.
Sentiment swings cut both ways
The same crowd that cheered RPO up 359% and sent the stock soaring in September is now focused almost entirely on debt and CDS. That can keep volatility high even if fundamentals trend in the right direction.

What The Next 3–4 Quarters Are Really About
In the near term, this is less about beating EPS by a penny and more about proving that the AI megaprojects are on a sane path.
Things that will matter:
RPO growth staying strong without stretching deployment timelines
Cloud and AI revenue growing fast enough to make capex look justified
Free cash flow trending up, not flatlining under the weight of new build-outs
Clear, believable guidance on how future data centers are funded
Early signs that customer mix is broadening beyond the biggest AI labs
If those show up, the last three months start to look more like a violent reset than a long-term verdict.

How I Would Frame A Position
For current holders
This still looks like a prove-it phase, not an emergency. If you bought into the AI landlord thesis and sized it reasonably, the case for holding while you wait for clarity is defensible.For new money
The pullback finally gives you something close to a normal risk-reward instead of a priced for perfection setup. A starter position makes sense if you accept higher volatility and are willing to watch balance-sheet metrics, not just headlines.For anyone allergic to leverage
This probably is not your cleanest AI play. There are simpler ways to get AI exposure if debt makes you lose sleep.

Action Recap
✅ Starter: Reasonable if you want AI infrastructure exposure and can live with debt-plus-volatility.
✅ Add On Proof: Consider adding only if earnings show strong revenue conversion from backlog and improving free cash flow while debt stays manageable.
⚠️ Trim On Trouble: If RPO grows but revenue and cash lag, or if funding starts to lean on dilutive options and expensive credit, treat the bounce as a chance to lighten up.

That's our coverage for today; thanks for reading! Reply to this email with feedback or any tech stocks you want me to check out.
Best Regards,
—Noah Zelvis
Tech Stock Insider


