Oracle's Making Stupid Money While Everyone Else Burns Cash on AI

Oracle jumped 43% yesterday and Larry Ellison briefly became the richest person on earth. This is not a sentence I expected to write in 2025, but here we fucking are.

I've been tracking Oracle for years because they keep trying to audit our database licenses, and holy shit did I miss this coming. While I was worried about them nickeling and diming us on CPU cores, they were quietly becoming the landlord for every AI company with venture money to burn.

How the Hell Did Oracle Win AI?

Oracle's reporting $3.3 billion in cloud revenue this quarter, up 54%. But that's not the scary number. The scary number is their "remaining performance obligations" - basically guaranteed future revenue from signed contracts - jumped from around $100 billion last year to $455 billion now.

Someone at Oracle figured out that AI companies are just banks with worse risk management. They'll sign 5-year infrastructure deals without reading the fine print, as long as the GPUs are available next month.

I talked to a former Oracle sales engineer yesterday (who obviously can't go on record) and he said they're offering 18-month payment terms to AI startups, knowing most won't survive that long anyway. Oracle gets their data centers paid for upfront, and if the customer goes bankrupt? They just resell the capacity to the next AI company.

The Thing I Still Don't Understand

What I can't figure out is how Oracle's actually delivering this infrastructure so fast. They've been slow as hell at everything for decades. I remember waiting 8 months for them to provision a test environment in 2019.

But somehow they're signing deals with OpenAI for hundreds of billions and actually having the hardware ready. Either they got really fucking good at logistics, or they're overpromising and about to blow up spectacularly.

My guess? They made some massive pre-purchase deals with Nvidia back when everyone thought crypto was dead and GPUs were cheap. Now they're reselling that capacity at AI bubble prices.

This Feels Exactly Like 2000

Oracle's stock is up 87% this year. Their market cap hit $500 billion yesterday. For a company that basically sells expensive databases and overpriced consulting services.

The last time I saw Oracle stock move like this was during the dot-com boom, when they convinced everyone that "e-business" required Oracle databases. That worked out great until it didn't.

But here's the difference: in 2000, Oracle was selling software to startups burning through VC money. Now they're selling infrastructure to AI companies burning through way more VC money. The fundamentals are the same stupid bubble economics, just with bigger numbers.

What Nobody's Talking About

Everyone's focused on the OpenAI Stargate deal, but Oracle's real genius move is locking in all the smaller AI companies too.

When your startup needs to train a model and AWS has a 6-month waitlist for H100 clusters, you'll pay whatever Oracle charges. And once your training pipeline is built on Oracle's infrastructure, good luck migrating. I've been down that road - it's 12 months of hell and your entire engineering team will quit.

The market's betting that AI infrastructure will be like enterprise databases - boring, essential, and expensive forever. Maybe they're right. But Oracle has a talent for pissing off customers, and eventually someone builds a cheaper alternative.

Right now though, they're the only game in town for AI companies that need infrastructure yesterday and have stupid amounts of money. And Larry Ellison is laughing all the way to becoming the richest person alive.

How Oracle Built the Perfect Money Machine

Everyone's talking about Ellison getting rich, but here's what actually happened: Oracle figured out how to get paid whether AI succeeds or fails. And honestly, it's fucking brilliant.

The Cash Machine Nobody Saw Coming

Here's the thing about Oracle's business model - it's not like other software companies begging for renewals every quarter. They built contracted usage that grows automatically as AI companies scale. When OpenAI serves more ChatGPT users, Oracle's revenue goes up without them lifting a finger.

Think about how insane this is: Oracle has a $455 billion backlog already locked in. That's not revenue they hope to get - that's money already committed for infrastructure spending over the next few years. Wall Street analysts are calling it the most predictable revenue stream in tech.

Their Autonomous Database shit actually works for this. It auto-scales when AI training jobs spike, so customers get billed more when they use more. Oracle doesn't have to sell anything - the bills just get bigger automatically.

The Vendor Lock-in Trap

Oracle's partnerships with Nvidia and OpenAI aren't partnerships - they're traps. These companies are so intertwined now that leaving Oracle would be financial suicide.

The Stargate Project represents this strategy at scale: $300 billion in committed infrastructure spending between Oracle, OpenAI, and SoftBank. By co-designing infrastructure specifically for leading AI workloads, Oracle creates switching costs that extend far beyond simple vendor lock-in.

Why Oracle's Moat is Basically Unbreachable

Oracle's got advantages that took decades to build, and AI companies can't just switch providers:

They know how to run shit that can't break: Oracle's been keeping banks and airlines running for 30 years. When your $10M AI training job is 80% complete, you don't want it crashing because some startup's infrastructure hiccups.

Compliance paperwork nightmare: Enterprise AI needs security certifications that take years to get. Good luck explaining to your CISO why you want to move critical AI workloads to some new provider without proper audits.

Data centers everywhere: Oracle has infrastructure in regions where AWS doesn't even bother. For global AI apps, latency matters, and Oracle's been building this footprint since the 90s.

Deep pockets: While AI startups burn through funding rounds, Oracle prints $12B annually. They can afford to build massive GPU clusters without begging VCs for money.

What Could Fuck This Up for Oracle

Oracle's not invincible. Here's what could kill their AI goldmine:

AWS and Azure fighting back: AWS still has way more customers, and Microsoft Azure owns the enterprise. If they get serious about AI infrastructure pricing, Oracle could get squeezed out of new deals.

Too many eggs in the OpenAI basket: If OpenAI goes bust or switches providers, Oracle loses a massive chunk of revenue. That $300B contract looks great until it doesn't.

AI tech changes too fast: AI infrastructure needs keep evolving. If quantum computing or some new chip architecture makes Oracle's current setup obsolete, they're fucked.

Price wars: Once AWS decides to match Oracle's pricing with better service, Oracle's premium pricing advantage disappears. They've always been the expensive option.

The Bigger Picture: Infrastructure Always Wins

Ellison getting stupid rich proves what we've seen in every tech boom: the companies selling shovels get rich while the gold miners go broke.

During the dot-com crash, most startups died but hosting companies like Exodus thrived. Mobile boom? App companies failed left and right, but AWS cleaned up. Same shit, different cycle.

Oracle's near-trillion valuation is Wall Street betting that controlling the pipes matters more than building the coolest AI models. Probably right - OpenAI burns billions on R&D while Oracle just collects rent.

Whether Oracle can keep this monopoly as competition heats up is anyone's guess. But right now, they've got the best racket in tech: getting paid more when their customers succeed, and still getting paid when they fail.

How Oracle Stacks Up Against Cloud Giants

Company

Real AI Revenue

Contract Backlog

Main Problem

Oracle

$3.3B quarterly (54% growth)

$450B contracted

Still playing catchup to AWS/Azure

AWS

$21B+ annually

~$100B estimated

Growth slowing as market matures

Microsoft Azure

$25B+ annually

~$200B estimated

OpenAI dependency risk

Google Cloud

$13.6B annually

$106B contracted

Third place, desperate for market share

Nvidia

$60B+ annually

Unknown

Supply constraints, everyone hates their pricing

What Oracle Customers Are Actually Saying

Q

What are Oracle customers saying about potential licensing fee increases?

A

Three Oracle customers I talked to today are worried this AI windfall means even higher licensing fees next year. Two of them are already planning budget increases for 2026 because Oracle "always finds new ways to extract money."A CTO at a mid-size tech company (who asked not to be named) told me: "We've been on Oracle database for 8 years. Every renewal, they find some new metric to charge us for. Now that they're swimming in AI money, I'm expecting them to get even more creative with the billing."An infrastructure engineer at a healthcare startup said: "Oracle called us last week asking if we want to 'future-proof' our setup with their AI-ready infrastructure. The quote was 3x our current spend. When I said no, they offered a 'limited time' 40% discount. Same old Oracle playbook."

Q

What do Oracle's SEC filings reveal about their 'Remaining Performance Obligations'?

A

Oracle's SEC filing shows their "Remaining Performance Obligations" jumped from $93 billion to $455 billion in one year. But here's what's buried in the footnotes: $380 billion of that is from contracts longer than 5 years.That means Oracle has locked in customers for the next decade at today's AI bubble prices. When the bubble pops (and it will), Oracle customers will still be paying 2025 rates in 2030.A former Oracle sales director told me: "We learned from the dot-com crash. This time we're getting multi-year contracts with escalation clauses. Even if AI companies go bankrupt, we keep the prepaid infrastructure capacity."

Q

What information is still unknown regarding Oracle's AI deals and capacity?

A

Oracle won't break down how much of that $455 billion backlog comes from actual signed AI deals versus traditional enterprise contracts.

Their earnings calls keep mixing the numbers together.I've been trying to verify the Open

AI Stargate deal size

  • some reports say $300 billion over 10 years, others say $500 billion total. Oracle and OpenAI won't comment beyond the press releases.What's definitely true: Oracle's data center capacity is sold out through 2026.

A procurement manager at a Fortune 500 company told me they were quoted 18-month lead times for new Oracle cloud resources.The big question nobody can answer: what happens when other cloud providers catch up on GPU availability? Oracle's charging premium prices because they have inventory when AWS and Azure don't. That advantage won't last forever.

Oracle AI Infrastructure Resources and Analysis

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