Oracle (NYSE:ORCL) reported Q4 fiscal 2026 revenue of $19.2 billion, up 21%. Cloud infrastructure revenue grew 93%, and cloud applications revenue grew 10%. For the full fiscal year, revenue passed $67 billion, non-GAAP operating income reached $29 billion, and remaining performance obligations rose 363% to $638 billion. CFO Hilary Maxson said the quarter was driven by cloud demand tied to AI adoption across infrastructure and applications.
Executives discussed its AI roadmap across applications, infrastructure, database services, and pricing.
CEO Mike Sicilia said customers are ready to deploy “enterprise-grade, complete agentic solutions to help run their businesses,” while the team added that OCI is releasing new infrastructure capabilities to support customer workloads.
Why It Matters: Oracle is showing how enterprise AI is moving into operational workflows. The company tied its AI plan to its enterprise technology stack and commercial models that link usage to value, and emphasized AI governance and infrastructure readiness.
- Oracle Is Adding AI Agents Across Its Application Suites: Sicilia said Oracle delivered more than 1,000 AI agents across its application suites during the past year. He said these offerings “can reason, decide, and execute work across processes.” Oracle framed this as a way for customers to use AI through applications they already run, with new features added every three months.
- Oracle Is Using Enterprise Data as a Foundation for AI Use Cases: Management said much of customers’ proprietary data already sits in Oracle Database or comes out of Oracle applications. Sicilia said, “inferencing against decades of rich operations data is where the benefits of AI compound exponentially.” Oracle also released AI Agent Memory, a library for agents that can operate with enterprise context.
- Database Security Is Part of Oracle’s AI Message: Oracle introduced Deep Data Security, which adds data access rules at the database level. Executives said the tool protects against unauthorized access by limiting what a user, or an AI agent acting on that user’s behalf, can see or act upon as AI systems move into governed enterprise workflows.
- OCI Growth Is Tied to Demand for AI Infrastructure: Magouyrk said Oracle’s AI infrastructure demand remained strong, with $67 billion in contracts signed during the quarter, more than 1.2 gigawatts delivered to customers in fiscal 2026, and global GPU utilization at 97.5%. He described OCI as an infrastructure platform built to support demanding workloads.
- Oracle Is Testing Pricing Tied to Agentic AI Usage and Business Outcomes: Sicilia said customers are asking, “How much am I going to spend on AI, and how do I get ROI very quickly?” In response, Oracle is introducing token bundles for advanced reasoning and models across its application suites, along with outcome-based pricing for interview agents based on candidates screened and hospitality upsell agents based on consumer upsell transactions. The approach gives customers a way to connect AI spending to specific application use cases rather than treating agentic AI as a separate budget item.
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