At the Oracle AI Summit in London this week, Oracle discussed its plans for pricing AI agents based on task completion, in addition to its current subscription model for Oracle applications. This approach aims to align costs with the value customers receive from AI-driven automation, potentially shifting from user-based to transaction-based pricing.

During the Oracle AI Summit in London, Oracle outlined its strategy for pricing AI functionality used to enhance its applications. Miranda, representing Oracle, stated that while the company currently charges for Oracle applications on a subscription basis, with additional fees for AI functionalities, a shift towards transaction-based pricing is anticipated. This potential future model could also incorporate considerations for company size.

Miranda expressed confidence in the benefits of agentic AI, suggesting that improvements delivered through AI would create a mutually beneficial scenario for both Oracle and its customers. He noted that automating tasks within enterprise applications, such as ERP, could free up resources for businesses to invest in other areas. According to Miranda, Nobody is in business to run ERP. The more we can save them on the ERP side, the more they invest in what they do.

The discussion around AI pricing models comes as enterprises grapple with rising network costs and the need for strategic technology investments. New vector indexing capabilities and prebuilt agents are emerging as key components in simplifying the development of cutting-edge applications.

Oracle believes that aligning the pricing of AI agents with task completion will provide a win-win situation for both the company and its customers by delivering measurable improvements and value. The company aims to enable businesses to focus on core activities by automating routine tasks.

Enterprises can anticipate potential changes in how they are charged for Oracle applications, with a greater emphasis on the value derived from AI-driven automation. The shift towards transaction-based pricing could incentivize businesses to adopt AI solutions for specific tasks, optimizing resource allocation and investment in core business functions.

  1. Stay informed about developments in AI pricing models and how they may impact your organization’s technology budget.
  2. Assess your organization’s readiness for AI adoption, considering factors such as data readiness and the potential for ROI failures.
  3. Explore strategies for optimizing network costs and making strategic technology investments to support AI initiatives.

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