Oracle has announced the deployment of OpenAI’s GPT-5 across its database portfolio and suite of SaaS applications, including Oracle Fusion Cloud Applications, Oracle NetSuite, and Oracle Industry Applications such as Oracle Health. The integration aims to combine trusted business data with advanced AI models to help enterprises strengthen automation, reasoning, and productivity.
GPT-5, described as OpenAI’s most advanced model to date, is designed to excel in code generation, debugging, and editing, while also introducing enhanced reasoning and agentic capabilities. It is available through the API in three different sizes for scalability, and also through ChatGPT Enterprise.
Oracle said the deployment will support customers by improving multi-step reasoning and orchestration across business processes, accelerating code generation and bug resolution, and delivering deeper, more accurate insights and recommendations.
“The combination of industry-leading AI for data capabilities of Oracle Database 23ai and GPT-5 will help enterprises achieve breakthrough insights, innovations, and productivity,” said Kris Rice, senior vice president, Database Software Development, Oracle. “Oracle AI Vector and Select AI together with GPT-5 enable easier and more effective data search and analysis. Oracle’s SQLcl MCP Server enables GPT-5 to easily access data in Oracle Database. These capabilities enable users to search across all their data, run secure AI-powered operations, and use generative AI directly from SQL—helping to unlock the full potential of AI on enterprise data.”
“GPT-5 will bring our Fusion Applications customers OpenAI’s sophisticated reasoning and deep-thinking capabilities,” added Meeten Bhavsar, senior vice president, Applications Development, Oracle. “The newest model from OpenAI will be able to power more complex AI agent-driven processes with capabilities that enable advanced automation, higher productivity, and faster decision making.”
Oracle emphasised its continued focus on delivering AI securely and at scale, enabling organisations to apply generative and agentic AI to industry-specific scenarios for measurable results.
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