Oracle announced today that it is embedding Google's Gemini AI models directly into its enterprise software—Oracle AI Agent Studio, Fusion Cloud Applications, and Oracle NetSuite—allowing customers to build and deploy autonomous AI agents.
Oracle stock jumped 3.3% on the news.
The deal gives enterprises flexibility to choose between Gemini models (Gemini 3.1 Flash Lite for efficiency and Gemini 3.5 Flash for advanced reasoning) while keeping the door open for third-party AI models.
What happened
Oracle announced today that Google's Gemini AI models are coming to Oracle AI Agent Studio for Fusion Applications, allowing enterprise clients to build and deploy autonomous AI agents. Oracle also plans to embed Gemini natively across its flagship Fusion Cloud Applications and Oracle NetSuite, using Gemini 3.1 Flash Lite for cost-optimized tasks and Gemini 3.5 Flash for advanced reasoning including dynamic video and presentation generation.
Why it matters
The partnership lets Oracle enterprise customers integrate top-tier AI directly into their core business software without being locked into a single model—Oracle is maintaining a multi-model architecture to allow third-party AI models as well. For businesses using Oracle's cloud applications and NetSuite, this means the ability to improve visibility, automate work, and build next-generation AI agents within their existing systems.
What to watch
The rollout is happening now under the expanded Google Cloud partnership; Oracle shares also benefited from broad strength in tech stocks Thursday morning.
Oracle announced an expansion of its Google Cloud partnership today, bringing Google's Gemini AI models directly into its enterprise software ecosystem. The deal integrates Gemini into Oracle AI Agent Studio for Fusion Applications, enabling enterprise clients to build, customize, and deploy autonomous AI agents. Oracle also plans to embed Gemini natively across its flagship Fusion Cloud Applications and Oracle NetSuite. The partnership features two Google models: Gemini 3.1 Flash Lite, designed for high-efficiency and cost-optimized tasks, and Gemini 3.5 Flash, built for advanced reasoning tasks including dynamic video and presentation generation. A key element of the agreement is Oracle's decision to maintain a multi-model architecture, meaning customers are not locked into Gemini alone and can integrate third-party AI models as well. Chris Leone, EVP of Applications Development at Oracle, emphasized this flexibility: "To achieve the best business outcomes, organizations need the flexibility to choose the AI model best suited to each problem. Bringing Gemini to AI Agent Studio gives our customers greater choice as they build next-generation agentic workflows." NetSuite founder and EVP Evan Goldberg added that integrating top-tier large language models like Gemini enables NetSuite users to "improve visibility, automate work, and move seamlessly from insight to action." The announcement helped drive Oracle's stock up 3.3% on Thursday morning, though shares also benefited from broad strength in tech stocks.
Oracle's expanded partnership with Google Cloud represents a significant move to embed AI directly into its core enterprise software stack. Rather than building its own large language models, Oracle is integrating Google's Gemini models at multiple layers—from AI Agent Studio (where customers build custom agents) down through Fusion Cloud Applications and NetSuite. This approach reflects a broader industry pattern in which enterprise software vendors partner with AI leaders rather than developing proprietary models in-house. The emphasis on multi-model flexibility is noteworthy: Oracle is explicitly telling customers they are not locked into Gemini alone, which may appeal to enterprises concerned about vendor lock-in or wanting to compare models across different use cases. For NetSuite users, the integration promises concrete workflows—automating work, improving visibility, and moving from insight to action—which speaks to enterprise concerns about productivity and decision-making speed.
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