Oracle’s radical shift to AI-agent-ready Fusion apps marks the end of manual data entry in enterprise software, placing human decision-making at the forefront while AI handles execution—a direct response to investor fears that AI could make traditional business applications obsolete.
In a landmark strategic pivot, Oracle is comprehensively overhauling its cloud-based Fusion financial and procurement applications to natively support artificial intelligence agents. Announced on Tuesday at a London eventReuters, the update will allow business users to ask high-level questions—like how to accelerate product design or safeguard supply chains—and let AI autonomously navigate data, execute transactions, and formulate recommendations. This move directly addresses investor concerns that have sent Oracle’s stock tumbling nearly 40% this yearReuters, as the company argues that embracing AI will future-proof its suite against disruption.
Oracle’s Fusion suite has long served as the digital backbone for large corporations, integrating core functions like financial planning, procurement, and supply chain management. Historically, these applications required significant manual input and navigation, with human users acting as the primary operators. The new AI-centric redesign reimagines this relationship, positioning Fusion as a platform where AI agents can act across modules and connected third-party systems to fulfill user requests.
Steve Miranda, Oracle’s executive vice president of applications development, delineates the new division of labor: AI will take over execution tasks such as invoice and purchase order entry, data gathering, and preliminary analytics. Humans will concentrate on strategic domains—supplier negotiations, risk tolerance assessment, and weighing trade-offs in complex decisions. “Decision making is still kind of up to that human,” Miranda says, “But certainly the execution, the typing of the invoices, the typing of the purchase order, that is what is going to be replaced in whole by AI.”Reuters
For enterprise users, this translates to a fundamental reskilling imperative. Employees must cultivate higher-order analytical and interpersonal skills while trusting AI to handle rote tasks. For developers, the shift demands attention to how Fusion’s APIs and data models can be leveraged by AI agents, potentially requiring new integration patterns that emphasize conversational interfaces and intent-driven workflows over traditional form-based interactions.
The timing is critical. Oracle’s market value has eroded significantly as investors question whether legacy enterprise software can coexist with generative AI. By embedding AI at the core of Fusion, Oracle aims to demonstrate that its deep industry-specific logic and integrated data architecture make it an ideal foundation for agentic automation, not a relic to be replaced. The coming months will reveal whether customers adopt this vision and whether Oracle can deliver AI reliability at scale.
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