Oracle is transforming its AI approach by embedding Google’s Gemini models straight into its flagship enterprise applications like Fusion Applications and NetSuite. This shift means AI won’t be just another add-on for developers but a built-in element driving workflows in over 14,000 organizations worldwide.
AI Moves From Infrastructure to Application Layer
Since October 2025, Oracle AI Agent Studio allowed developers to pick from multiple AI models including OpenAI and Google. However, the recent deal with Google Cloud goes beyond simply adding Gemini to the lineup. Instead, Oracle plans to embed Gemini 3.1 Flash-Lite and Gemini 3.5 Flash directly within core ERP, HCM, supply chain, and CRM systems.
This integration addresses the biggest hurdle in enterprise AI adoption: moving from prototype to production. While 80% of enterprises experiment with AI, only 31% manage to embed it meaningfully into workflows. Embedding AI at the application level reduces friction, making the technology a smooth part of daily operations instead of a separate tool developers have to hook up.
Competitive Stakes in Enterprise AI
Oracle's move also signals a competition with platforms like Salesforce’s Agentforce and ServiceNow’s Now Assist, which are racing to control the AI agent layer. Embedding AI natively inside ERP systems ensures tighter governance and fewer execution failures than external add-ons, which often cause deployment breakdowns.
Technically, Oracle’s Fusion Applications already support protocols like Model Context Protocol and Agent-to-Agent communication, enabling complex AI interactions. Now, by pulling Google’s models closer to where business happens, Oracle tightens this integration and expands Google Cloud’s AI reach across global enterprises.
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