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Oracle Rises Over 8% as Google Cloud Partnership Expands to Bring Gemini Models to Fusion and NetSuite Enterprise Applications

TradingKey
AuthorAndy Chen
Jul 30, 2026 3:45 PM

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Oracle and Google Cloud have expanded their partnership, integrating Gemini models into Oracle Fusion Applications and NetSuite. By embedding AI into core enterprise workflows via Oracle AI Agent Studio, Oracle gains a competitive edge in SaaS stickiness and ARPU without building general-purpose models. For Google, this provides critical access to a vast enterprise client base, strengthening its position against Microsoft Azure and AWS. Oracle shares rose 6.5% to $125.39 following the announcement. This strategic alignment underscores a shift toward prioritizing enterprise-grade AI orchestration, directly embedding advanced model capabilities into existing business processes to accelerate decision-making and efficiency.

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TradingKey - Oracle ( ORCL) and Google Cloud announced a further expansion of their partnership, with Google ( GOOGL) deeply integrating its Gemini family of large models into Oracle's enterprise application suite, covering two core product lines: Oracle Fusion Applications and NetSuite.

According to the plans announced by both parties, in addition to continuing to provide customers with access to Gemini models through Oracle Cloud Infrastructure (OCI) Enterprise AI, Gemini models will be introduced to Oracle AI Agent Studio for Fusion Applications. The platform is positioned as a one-stop AI automation development environment, allowing enterprises to leverage Oracle's proprietary, partner, and third-party reusable agents to build, connect, and execute AI automation and agentic applications.

Meanwhile, Oracle also plans to directly call Gemini models as embedded AI use cases in Fusion Applications and NetSuite.

Satish Thomas, Vice President at Google Cloud, said: "Global enterprises are trusting Google Cloud’s full-stack AI capabilities to power critical workflows and agents. Expanding our partnership with Oracle will make it easier for businesses to use Gemini within the applications and agentic workflows they rely on, automating processes, accelerating decision-making, and driving business outcomes."

Kevin Ichhpurani, President of Global Partner Ecosystem at Google Cloud, added that this partnership will "bring Google’s most powerful AI models directly into the core application workflows that run global businesses every day, enabling enterprises to apply highly efficient and cost-effective AI directly where business decisions are made."

Boosted by the news, Oracle's stock price surged over 8% intraday. As of press time, it was still up 6.5% at $125.39. Notably, the stock has retraced by more than 50% since reaching its interim peak of $249.38 on June 1.

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Oracle stock chart, Source: TradingView

From the perspective of the competitive landscape, several aspects of this partnership are worth noting.

For Oracle, connecting Gemini to the existing customer base of Fusion and NetSuite essentially equips Oracle's SaaS business with an AI engine, which helps improve customer stickiness and ARPU. Instead of developing its own general-purpose large models, Oracle chose a differentiated path of "integrating the strongest models + enterprise workflow orchestration," benchmarking against Microsoft's strategy of embedding Dynamics 365 through the Azure OpenAI Service.

For Google Cloud, this partnership provides Gemini with access to Oracle's massive enterprise customer base, particularly users of Fusion ERP and NetSuite. This is a significant channel expansion for Google Cloud in enterprise AI deployment, and a crucial step in competing with Microsoft’s OpenAI + Azure combination and AWS Bedrock's multi-model strategy.

This content was translated using AI and reviewed for clarity. It is for informational purposes only.

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Disclaimer: The content of this article solely represents the author's personal opinions and does not reflect the official stance of Tradingkey. It should not be considered as investment advice. The article is intended for reference purposes only, and readers should not base any investment decisions solely on its content. Tradingkey bears no responsibility for any trading outcomes resulting from reliance on this article. Furthermore, Tradingkey cannot guarantee the accuracy of the article's content. Before making any investment decisions, it is advisable to consult an independent financial advisor to fully understand the associated risks.

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