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Oracle's $10B Problem: Why OpenAI's Data Centers Won't Be Ready Until 2028

Oracle just pushed back critical data center projects for OpenAI by a full year, sending its stock plunging and raising serious questions about the biggest AI infrastructure deal in history.

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Cionde Official

December 12, 2025
7 min read
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Oracle's $10B Problem: Why OpenAI's Data Centers Won't Be Ready Until 2028

Oracle's stock took a brutal hit on Friday, dropping nearly 5% after news broke that the company is delaying some of its massive data center projects for OpenAI. The original plan was to have these facilities ready by 2027. Now they won't be finished until 2028.

This isn't just a minor schedule adjustment. We're talking about a delay that affects one of the biggest technology deals ever made. Oracle signed a $300 billion contract with OpenAI to provide computing power for the next five years. That's right, three hundred billion dollars. And now the first major cracks are showing.

What Went Wrong

The problem is surprisingly simple but devastatingly difficult to fix. Oracle doesn't have enough workers or materials to build these data centers on time. Labor shortages and material supply issues are grinding the project to a halt.

Think about what that means. Oracle is trying to build some of the largest data centers in the world. These aren't just big buildings with computers inside. They're massive facilities that need thousands of workers, tons of specialized equipment, and materials that are increasingly hard to get.

The delays stem largely from labor and material shortages, according to people close to the project. In plain English, Oracle can't find enough skilled workers to do the job, and even when they have the workers, they can't get the materials those workers need.

The Scale of This Deal

To understand why investors are panicking, you need to understand how big this OpenAI deal really is. Oracle signed a $300 billion contract this summer to provide computing power for training and running OpenAI's models. That's more money than most countries spend in a year.

OpenAI needs this computing power to develop and run its artificial intelligence systems, including ChatGPT and future AI models. Without these data centers, OpenAI's growth plans hit a wall. And if OpenAI's plans fail, Oracle's biggest bet in decades fails with them.

Oracle is spending more on capital expenditures than Wall Street anticipated, leading to higher-than-expected cash burn. The company already increased its spending plans by $15 billion just this week. That's fifteen billion dollars extra, on top of the massive amounts they were already planning to spend.

Why Investors Are Worried

Here's the thing that has Wall Street nervous. Oracle's entire future growth story depends heavily on this one customer. OpenAI represents a huge portion of Oracle's cloud business plans. If this relationship runs into serious problems, Oracle's stock could fall much further than 5%.

The company is already carrying $108 billion in debt to finance these projects. That's a staggering amount of borrowed money. Every delay means Oracle is burning cash without getting the revenue they were counting on to pay back those debts.

Oracle's cloud infrastructure sales came in short of estimates in its recent quarterly results, which already had investors questioning whether the company could turn its massive contract backlog into actual revenue quickly enough. Now this delay confirms those fears were justified.

The Bigger Picture

This delay reveals a fundamental problem in the AI industry right now. Everyone wants to build massive AI infrastructure, but there simply aren't enough resources to go around. The entire industry is competing for the same pool of skilled workers, the same specialized equipment, and the same building materials.

Oracle isn't alone in facing these challenges. But Oracle is uniquely exposed because it made such a massive bet on one customer. Amazon, Microsoft, and Google spread their data center investments across many different customers and projects. Oracle put most of its eggs in the OpenAI basket.

The construction industry can't scale fast enough to meet the AI boom. You can't just magically create thousands of experienced data center construction workers overnight. You can't instantly manufacture the specialized cooling systems and power equipment these facilities need.

What This Means for OpenAI

OpenAI is probably even more worried than Oracle's investors. The company needs these data centers to compete with Google, Microsoft, and other AI giants. Every month of delay means OpenAI falls further behind in the race to build more powerful AI systems.

OpenAI's business model depends on having enough computing power to train increasingly sophisticated AI models. Without that power, they can't deliver on their promises to investors and customers. They've raised billions of dollars based on their growth projections, and those projections assumed Oracle would deliver on time.

The delay also raises questions about OpenAI's ability to actually pay for all this infrastructure. Some analysts are already skeptical that OpenAI's revenue can grow fast enough to justify spending $60 billion per year on Oracle's services.

The Timing Couldn't Be Worse

This news comes at a terrible time for Oracle. The company just reported quarterly results that disappointed Wall Street. Cloud revenue growth came in below expectations. Now investors learn that future growth will be delayed even further.

The stock was already under pressure before Friday's announcement. It fell sharply after Wednesday's earnings report. Adding this delay on top of weak earnings creates a perfect storm of bad news.

Oracle isn't the only tech stock struggling this week. The broader Nasdaq immediately dropped following the Oracle delay news, showing that investors see this as a warning sign for the entire AI infrastructure sector.

Can Oracle Recover

The big question now is whether Oracle can get these projects back on track. A one-year delay might not seem like much in a five-year contract, but in the fast-moving world of AI, a year is an eternity.

Oracle will need to dramatically increase its workforce and find new sources for critical materials. That means paying premium prices for both. Those extra costs will eat into the already tight profit margins on these projects.

The company has committed to maintaining 30% to 40% profit margins on its cloud business. With delays driving up costs and potentially delaying revenue, hitting those margin targets becomes much harder.

What Investors Should Watch

If you own Oracle stock or are thinking about buying, here's what to pay attention to. First, watch for any more delays or cost overruns. This might not be the last bad news about these projects.

Second, watch OpenAI's financial health. If OpenAI struggles to raise more money or generate revenue, they might not be able to afford this massive contract. Oracle's entire growth story depends on OpenAI's success.

Third, keep an eye on Oracle's debt levels and cash flow. The company is burning through cash to build these facilities. If revenue doesn't start flowing soon, Oracle might need to raise more money, which would dilute existing shareholders.

The Bottom Line

Oracle made one of the biggest bets in corporate history when it signed that $300 billion deal with OpenAI. Now we're seeing the first signs that bet might not pay off as smoothly as promised.

A one-year delay might not kill the deal, but it's a warning sign. Building the world's largest data centers is incredibly complex, and Oracle is learning that complexity the hard way. Labor shortages and material problems aren't going away anytime soon.

For investors, this delay means lower revenue than expected in 2027 and potentially lower profits when those data centers finally do come online. The 5% stock drop on Friday might not be the end of the pain.

The AI boom is real, and companies like Oracle that provide the infrastructure will benefit enormously. But this delay shows that turning that opportunity into actual profits is harder than it looks. Oracle still has time to make this work, but the pressure is mounting and the margin for error is shrinking.

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