Oracle says AI data-center boom could drive growth through 2027

Oracle is betting that the artificial intelligence data center boom is still in its early innings, and investors are taking that bet seriously. After signaling that demand for AI infrastructure could fuel rapid growth through at least 2027, the company sent its stock sharply higher and reframed expectations for how long this cycle can last.

The software and cloud provider is effectively telling Wall Street that the buildout of AI capacity is not a one-year spike but a multi-year construction project, backed by a swelling backlog of contracts and a higher revenue bar for the next fiscal year.

Backlog explodes as AI orders pile up

Oracle has been leaning heavily on its remaining performance obligations, or RPO, as the clearest window into future growth. Earlier quarters featured RPO of $523 billion, a figure that already signaled years of contracted revenue in the pipeline, and most of the increase was tied to large cloud and AI deals that will take time to ramp.

More recently, the company reported that RPO grew 325% year over year to $553 billion, a jump that shows how quickly AI-related commitments are stacking up on the balance sheet, according to Oracle RPO data.

The surge in contracted business helps explain why Oracle feels confident enough to talk about growth through 2027 rather than just the next couple of quarters. The backlog reflects multi-year commitments from hyperscalers, AI model developers and large enterprises that want dedicated capacity for training and inference.

Analysts who track long-term software and cloud contracts often treat RPO as a proxy for visibility. In Oracle’s case, the scale of the figure, and the fact that most of the incremental growth is tied to AI data center projects, suggests that the company is locking in demand before much of the corresponding revenue shows up on the income statement.

Revenue target raised to $90 billion

On the back of that backlog, Oracle lifted its fiscal 2027 revenue outlook to $90 billion, a level that would represent a dramatic step up from its current run rate and that is explicitly linked to the AI data center buildout. The company has framed this as a structural shift in its business mix, with cloud infrastructure and AI services taking a larger share of total sales.

The $90 billion goal also sits above prior expectations from some on Wall Street, which helped fuel a sharp move in the shares. One summary of the outlook highlighted that Oracle’s AI data center strategy is the main driver behind the $90 billion forecast and the 325% RPO growth to $553 billion, reinforcing how tightly the guidance is tied to the AI cycle, as reflected in revenue forecast commentary.

Investors responded quickly. In U.S. trading, the stock jumped about 8% after Oracle laid out the updated outlook and described how AI data center demand is expected to push revenue above prior Wall Street estimates well into 2027.

Coverage of the move noted that it came during a Tuesday session when enthusiasm around AI infrastructure spilled over into broader benchmarks, with the stock market treating Oracle as a bellwether for whether AI spending is broadening beyond chips into cloud capacity.

Shares surge as AI demand outpaces supply

Oracle’s executives have been explicit that the company is constrained more by supply than demand. In its fiscal 2026 third quarter update, Oracle said the demand for cloud computing for AI training and inferencing continues to grow faster than supply, and that some of the largest customers are signing contracts that will take several years to fulfill.

That imbalance has helped support pricing and utilization for new data centers, and it has reassured investors that the current wave of AI buildout is not yet hitting saturation. When Oracle laid out its long-term AI data center plans, shares climbed in after-hours trading on Tuesday, reinforcing the idea that the market is rewarding companies that can show durable demand rather than one-off AI enthusiasm, as reflected in Stock Market coverage.

Management has framed the opportunity as a capacity race. The company is racing to add new regions and expand existing facilities, while chip supply and power availability remain bottlenecks. That dynamic has given Oracle a chance to win share with customers that want alternatives to larger cloud rivals and are willing to sign long-term deals in exchange for guaranteed capacity.

Commentary around the quarter described how AI demand is broadening from chips into cloud capacity, data centers and software platforms, with Oracle positioned to benefit across all three layers. The backlog of AI contracts, combined with the raised revenue outlook, has eased some investor anxiety that the AI trade was overextended or too heavily concentrated in semiconductor names.

Wall Street recalibrates its AI playbook

Oracle’s new guidance has also forced Wall Street to revisit how it values traditional software companies that are successfully repositioning around AI infrastructure. The company’s stock had already staged a comeback earlier in the AI cycle when it disclosed a large jump in its backlog, and the latest figures have reinforced the idea that Oracle can sustain double-digit growth by converting that backlog into revenue.

Analysts who follow Oracle have described the stock, listed as ORCL on the NYSE, as a case study in how AI data center spending and OpenAI-related partnerships can reshape a company’s risk profile and valuation, with some commentary explicitly framing the discussion as a valuation check on how much AI growth is already priced in.

Recent earnings coverage emphasized that Oracle reported strong results on Tuesday, beating estimates on several key metrics and easing some of the anxiety that AI-related spending might slow. The reaction on Wall Street suggested that investors are increasingly willing to reward clear, quantified AI roadmaps instead of vague promises, particularly when those plans are backed by multi-year contracts and rising RPO.

One detailed account of the latest quarter highlighted that Oracle raised its revenue outlook for fiscal 2027 to $90 billion and that the company is restructuring parts of its workforce to prioritize AI and cloud computing, a shift that reflects how central these businesses have become to its strategy, as seen in higher 2027 outlook.

Another section of the same report described how Oracle Shares Jump when Demand Outpaces Supply, capturing how investors have embraced the narrative that AI and cloud computing are driving a new phase of growth for the company, as summarized in coverage of the.

For portfolio managers who had concentrated their AI exposure in chipmakers, Oracle’s numbers offer evidence that the spending wave is spreading into software and infrastructure providers. Some equity strategists have argued that this broadening is healthy, since it reduces the risk that a single group of stocks carries all the AI optimism.

How long can the AI data center boom last?

The central question now is whether Oracle’s confidence through 2027 proves justified. The company’s own guidance rests on the assumption that AI workloads will keep growing, that customers will continue to shift from on-premise systems to cloud infrastructure and that Oracle can secure enough hardware and power to build out new data centers on schedule.

So far, the evidence points in that direction. Oracle said demand for cloud computing for AI training and inferencing continues to grow faster than supply, and that some of the largest technology companies are signing contracts that stretch over multiple years, as outlined in its outlook update.

Independent commentary has noted that Oracle’s quarter suggests AI demand is broadening from chips into cloud capacity, data centres and software platforms, with the huge backlog of AI contracts providing a buffer if macroeconomic conditions soften. That backlog, combined with the raised revenue target, gives Oracle more levers than many peers to manage through potential volatility in enterprise budgets.

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*This article was developed with AI-powered tools and has been carefully reviewed by our editors.