Oracle (ORCL) Stock Is Down 50%. The Selloff Looks Overdone as AI Momentum Builds

Oracle (ORCL) stock is down nearly 50% over the last six months as investors worry about customer concentration, financing needs, and the scale of Oracle’s artificial intelligence (AI) infrastructure buildout.  I believe the sell-off has gone too far. I am bullish on ORCL because the company is no longer telling a theoretical AI story; it is starting to translate AI demand into accelerating cloud growth, a massive backlog, and better-than-feared economics.

This shift also challenges the long-standing view of Oracle as a legacy database and enterprise software company, a label that no longer captures what the business is becoming.

This Is No Longer Just a Legacy Software Story

The market still seems unsure whether Oracle should be valued like an old-line software company or a next-generation AI infrastructure provider. In my view, that uncertainty is exactly why the stock looks interesting. Oracle is evolving into something much more valuable than either label: a company that owns the infrastructure, the database layer, and the enterprise applications that sit on top of both.

That matters because Oracle is not trying to compete with hyperscalers on every workload. It is focusing on the workloads where it has a real advantage, especially AI training, inference, multicloud database deployments, and sovereign cloud use cases. This is starting to show up in the reported numbers. In the latest quarter, total sales rose 21.7% year-over-year, and revenue rose to $17.19 billion. Cloud revenue increased 44% to $8.9 billion, and Oracle Cloud Infrastructure (OCI) revenue surged 84% to $4.9 billion.

Those growth rates make it harder to argue that Oracle is simply dressing up a mature business with AI language. The business mix is changing quickly, and management is confident enough to point to roughly $67 billion in revenue in Fiscal 2026 and about $90 billion in Fiscal 2027. Even if those targets prove aggressive, the broader direction is clear: Oracle is becoming a structurally faster-growing company.

The Backlog Changes the Debate

The single most important number in the Oracle story may be remaining performance obligations (RPO). That figure reached $553 billion, up 325% year-over-year. Investors can reasonably debate how fast that converts into revenue, but they can no longer say Oracle has a demand problem.

That distinction matters. A year ago, Oracle still needed to prove that enterprises and model builders would commit serious money to its AI cloud strategy. Today, the challenge is different: Oracle must deliver enough capacity to satisfy the demand it has already signed. I actually view that as a healthier problem.

There is also a tendency to reduce the entire bull case to OpenAI. I think that misses the bigger picture. Oracle clearly has meaningful exposure to large AI customers, but the company is increasingly winning broader infrastructure, database, and multicloud commitments. Several analysts have argued that the real story is backlog growth beyond OpenAI, and I agree. Oracle is building a platform that can serve governments, enterprises, and hyperscale AI builders simultaneously.

Financing Fears Are Easing

The other major overhang has been capital intensity. Investors worried Oracle would have to stretch its balance sheet to fund a massive data center expansion. That concern has not vanished, but it is getting easier to manage.

Oracle has already raised about $30 billion of its planned $50 billion financing package through a mix of investment-grade debt and mandatory convertible preferreds. More importantly, management said that large-scale AI contracts signed during the quarter required no additional Oracle capital because customers either prepaid or brought their own hardware.

That is a crucial point. It means Oracle is not funding every piece of AI capacity growth entirely on its own balance sheet. Customers are helping finance the buildout, which helps address some of the worst-case fears about endless cash burn and runaway leverage. Oracle still needs to prove it can scale responsibly, but the financing picture looks better than the market seems willing to acknowledge.

Oracle May Be One of Software’s Better AI Defenses

An important reason I remain bullish is that Oracle looks relatively insulated from the broader “AI-will-disrupt-software” fear trade. In fact, Oracle may be one of the better ways to invest in software through that uncertainty.

Its database business should remain highly relevant in an AI-heavy world because enterprise AI still needs secure, governed, structured data. Oracle’s ERP and financial applications are also less vulnerable than many seat-based or point-solution software products. The company is embedding AI into its application suite while also using AI-assisted development internally to speed product delivery.

The multicloud strategy also adds another leg to the thesis. As Oracle expands the availability of its database across other cloud platforms, it gains exposure to more workloads without requiring customers to choose Oracle as their only infrastructure provider. That makes the company more flexible than many investors assume and broadens its AI monetization path beyond just renting graphics processing unit (GPU) capacity.

Why I Still See Upside

I understand why some investors are cautious. Oracle is still a “show me” stock. The company must deliver capacity on time, preserve margins as the mix shifts toward infrastructure, and prove that free cash flow recovers after this heavy investment cycle. Those are legitimate risks.

However, the stock is already pricing in a lot of that skepticism. Meanwhile, the business is starting to produce evidence that the strategy is working. AI-related revenue is growing fast, OCI demand continues to outstrip supply, and even GAAP operating margins came in around 32%, ahead of prior expectations.

At current levels, I think the market is still too focused on what could go wrong and not focused enough on what is already going right. Oracle is not merely participating in the AI buildout; it is increasingly becoming one of the key platforms enabling it.

Wall Street’s View

According to TipRanks, Oracle carries a Strong Buy consensus rating, with 27 Buy ratings, four Holds, and no Sells. Based on 31 Wall Street analysts offering 12-month price targets, the average target is $245.11, implying roughly 67% upside from the recent share price of $147.11.

Conclusion

Oracle’s AI transformation is no longer just a promise. It is beginning to show up in revenue growth, cloud mix, backlog expansion, and improving confidence around financing. The company still has execution work ahead, but after a roughly 50% decline in six months, I think the stock reflects too much fear and not enough of the improving fundamentals.

I remain bullish on Oracle. In my view, this sharp pullback has created a compelling opportunity in a company that is quietly becoming one of the most important AI infrastructure and enterprise data platforms in the market.