Oracle AI World 2026 Shows AI Shifting From Insight to Action in Enterprise Workflows

Oracle AI World 2026 highlighted a strategic shift from AI-driven insight to AI-driven action, with CEO Mike Sicilia stating the goal is “making your business capable of doing more” Forrester. The company showcased Fusion as a governed authority layer that supplies agents with business context, identity, permissions and guardrails, enabling autonomous tasks such as field-service truck rolls and nurse scheduling while keeping finance processes under human approval.

Oracle Fills Out The Agentic Stack

Oracle is tackling a fundamental problem with enterprise agents: they need more than an LLM to do real work. Fusion Claw provides a governed runtime for agents to execute tasks; Fusion Companion gives employees a natural-language interface for getting work done; and enterprise ontologies map the relationships, policies, processes and actions that agents need to understand the business. Agents receive task-limited identities and human verification for sensitive actions, rather than inheriting a user’s credentials. Autonomy is matched to risk: the truck-roll and nurse-scheduling demos ran fully autonomously, whereas finance scenarios still required human sign-off.

AI Infrastructure Gets More Diverse

Oracle expanded Oracle Cloud Infrastructure’s AI compute roadmap with a growing range of accelerators aimed at different AI workloads:

• NVIDIA Vera Rubin NVL72 – frontier-model training, high-throughput inference and agentic AI systems
• Google TPUs – an alternative to GPUs for large-scale training and production inference (expected on OCI in 2027)
• Cerebras CS-3 – extremely low-latency inference and reasoning workloads (expected on OCI in 2027)
• AMD Instinct MI455X GPUs and EPYC CPUs – rack-scale AI infrastructure for performance- and cost-sensitive workloads
• SambaNova SN50 – inference-focused specialized architecture

The broader point is that no single accelerator will suit every workload; training, reasoning, real-time inference and agentic workloads have distinct requirements. Oracle’s advantage is expected to come from offering diverse compute architectures tied together by a high-performance network fabric.

Customers Put The Technology In Context

External presenters provided concrete reality checks:

• Fabio Fazzino and Sophie Buresi of QSRP, whose platform includes Burger King Italia, described agents that identify product shortages, unusual transactions and delivery problems. Their lesson was practical: “The hard part is not AI.” The challenge is turning an AI-generated insight into something an operations employee can understand and act on in 5 seconds, while building enough trust for adoption.
• At the Centers for Medicare & Medicaid Services, Jeneen Iwugo explained that roughly 300 AI models are used to find patterns and identify potential fraud in Medicare. The ambition is to move from flagging suspicious activity to recommending action and eventually stopping questionable payments before the money goes out.
• Hetal Doshi of the U.S. Department of State illustrated scale: the agency processes roughly 100,000 passports daily across more than 270 locations. Modernization efforts have helped some name checks return 50–60 % faster and have cut some runtimes roughly in half.