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AI is Driving Oracle’s Transformation: Cloud infrastructure revenue surged 121%, making OCI the company’s fastest-growing business.
Massive Contracts are Reshaping Scale: Oracle’s USD 664 billion RPO and major AI deals provide extraordinary future revenue visibility.
Cash Flow Remains the Critical Test: Heavy spending on data centers and GPUs is putting pressure on Oracle’s free cash flow.
Larry Ellison has placed Oracle at the center of one of the biggest shifts in the technology business: the race for artificial intelligence infrastructure. Oracle once relied on databases and enterprise software as its core strengths. Today, cloud infrastructure has become the company’s fastest-growing business, with AI demand at the heart of that change.
Oracle’s latest numbers show the scale of the shift. In the first quarter of fiscal 2027, total revenue rose 30% to USD 19.3 billion. Cloud revenue rose 62% to USD 11.6 billion, while cloud infrastructure revenue jumped 121% to USD 7.4 billion. Oracle also added 850 megawatts of data center capacity during the quarter.
The biggest change lies within Oracle Cloud Infrastructure, or OCI. OCI gives companies access to computing power, storage, networks, and other resources through Oracle’s cloud. AI has created huge demand for those resources, especially for systems that use large numbers of advanced graphics processing units, or GPUs.
The company says demand for AI training and inference services continues to exceed available supply. During the latest quarter, Oracle delivered more than 300,000 GPUs to AI customers. That figure nearly tripled the capacity delivered in the previous quarter.
The result has pushed OCI far beyond the growth rate of Oracle’s older businesses. Cloud applications revenue rose 10% in the same quarter, while cloud infrastructure revenue rose 121%. That gap shows where Ellison sees the strongest source of future expansion.
Oracle’s backlog now tells an even larger story. Remaining Performance Obligations, or RPO, reached USD 664 billion at the end of the quarter. The figure rose by USD 209 billion from a year earlier.
Oracle also signed more than USD 30 billion of new AI cloud contracts in the quarter. Those agreements give Oracle a large pool of future revenue tied to long-term demand for computing capacity.
The structure of these deals matters as much as the size. Oracle says some large AI customers prepay for GPUs, while others buy the GPUs and supply the hardware to Oracle. Such arrangements can reduce the amount of capital Oracle must raise for new AI data centers.
By the end of fiscal 2026, prepaid and customer-supplied hardware tied to large AI contracts had reached USD 75 billion. This model gives Ellison a way to expand infrastructure without carrying the full cost of every GPU purchase on Oracle’s balance sheet.
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OpenAI has emerged as a key Oracle cloud customer, making the relationship unusually important. Reuters reported in September that the GPT-maker reached an annual revenue run rate near USD 70 billion. Analyst Gil Luria also said OpenAI could account for about half of Oracle’s computing backlog.
That link gives Oracle access to one of the fastest-growing sources of AI demand. It also creates a clear risk. A large share of Oracle’s future cloud revenue now depends on major AI customers that require enormous amounts of computing capacity.
The OpenAI relationship also shows how Oracle can profit from AI without owning a leading AI model. Oracle can provide the infrastructure that allows model companies to train and serve those systems at large scale.
Ellison’s strategy does not depend only on customers that move all workloads to OCI. Oracle has also pushed its databases into other major cloud platforms.
Oracle and Amazon Web Services have expanded their partnership around Oracle AI Database@AWS, which allows customers to use Oracle database technology inside AWS environments. Oracle has also expanded relationships across other major cloud providers.
That approach gives Oracle another path into AI workloads. A company does not need to leave AWS or another cloud platform to use Oracle technology. Oracle can earn revenue from the database layer while also expanding its own infrastructure business.
The opportunity comes with a high financial cost. Oracle produced USD 32 billion of operating cash flow in fiscal 2026, yet free cash flow fell to negative USD 23.7 billion as the company spent heavily on cloud infrastructure.
The latest quarter still showed a major gap. Oracle posted USD 23 billion of operating cash flow, while free cash flow stood at negative USD 5 billion. The company continued to spend large sums on data centers and AI capacity.
Recent infrastructure delays also show the practical limits of the plan. A major Oracle-linked data center project in New Mexico faced delays tied to power access, which highlighted the difficulty of securing land, electricity, financing, and other resources at the scale required for AI.
Why this Matters
Oracle’s AI cloud push matters as it shows how demand for AI can reshape a major technology company. Its rapid cloud growth, huge AI contracts, and massive infrastructure spending reveal the scale of resources required to support advanced AI. The strategy could also reshape competition across the global cloud market.
Oracle has moved far beyond its old image as a mature database company. Cloud infrastructure now supplies the strongest growth, while AI contracts have pushed the company’s backlog to extraordinary levels.
The critical test now sits in the gap between contracts and cash. Oracle must convert its USD 664 billion backlog into real revenue while keeping infrastructure costs under control. If that process works, Ellison will have turned Oracle’s cloud infrastructure into a powerful AI growth engine rather than a costly expansion project.
That makes the next phase less about whether AI demand exists and more about whether Oracle can build enough capacity, secure enough power, and turn massive AI commitments into durable cash flow. The answer will shape how far Ellison’s strategy can take Oracle.
1. How is Larry Ellison transforming Oracle through AI?
Ellison is expanding Oracle Cloud Infrastructure to meet growing demand for AI training and inference, making cloud infrastructure a central growth engine.
2. Why is Oracle’s cloud infrastructure business growing so quickly?
AI companies need enormous amounts of computing power, GPUs, storage, and networking, creating strong demand for OCI infrastructure.
3. What role does OpenAI play in Oracle’s strategy?
OpenAI is a major Oracle cloud customer, contributing significantly to demand for Oracle’s computing infrastructure and future cloud revenue.
4. Why is Oracle’s massive AI spending a concern?
Building AI data centers requires substantial investment in GPUs, electricity, facilities, and infrastructure, putting pressure on Oracle’s free cash flow.
5. What will determine whether Oracle’s AI strategy succeeds?
Oracle must convert its enormous backlog into actual revenue while securing enough computing capacity and power and maintaining sustainable cash flow.
