Oracle is mounting a decisive strategic countermove, aiming to dispel any notion that it is a legacy enterprise software player at risk of being sidelined. The company’s recent Oracle AI World event in London served as the launchpad for 22 new Fusion Agentic Applications. These are not conventional tools but AI agents designed to be embedded directly into core business workflows, where they are intended to autonomously make and execute decisions.
A Solid Foundation Amidst Share Price Pressure
This significant product offensive unfolds against a backdrop of notable stock market weakness. Since the start of the year, Oracle shares have declined by approximately 24%, trading well below their 52-week high from September 2025. That previous peak, driven by a robust cloud business outlook, now feels distant; the subsequent retreat has erased around $463 billion in market capitalization.
A primary concern among investors has been the potential for traditional enterprise software vendors to be disrupted by new AI models. Oracle’s launch of its Fusion Agentic Applications constitutes a direct rebuttal to this narrative. The company’s vision is for its own software suite not to be replaced, but to evolve into the primary execution layer for AI within the enterprise.
The Architecture and Capabilities of the New Agents
A key differentiator for these applications is their native integration. They operate within the Oracle Fusion Cloud Applications ecosystem itself, eliminating the need to move sensitive data into separate systems. This architecture provides the agents with direct access to live corporate data, approval hierarchies, policy frameworks, and transactional context.
Practical use cases span multiple business functions. Examples include automated shift scheduling approvals in human resources, supply chain cost optimization, and accelerated collections processes in finance. From a commercial perspective, Oracle emphasized that these tools are being offered to customers at no additional cost. The company also highlighted its support network of over 63,000 certified partners trained in the Oracle AI Agent Studio platform.
Should investors sell immediately? Or is it worth buying Oracle?
Industry analysts have noted the potential of this integrated approach. Holger Mueller of Constellation Research praised the “database-proximate” strategy, allowing clients to leverage AI automation while keeping their data in place—a method he described as “compelling and unique in the industry.”
Analyst Perspectives and Underlying Financial Strength
Market experts have responded with cautious optimism. Kevin Permenter of IDC suggested the real value lies in filtering out operational “noise,” thereby freeing up human judgment for areas where it is most critically needed. Michael Fauscette of Arion Research pointed to the architectural advantage: agents running within the application suite inherently understand built-in governance structures, as opposed to being externally grafted onto existing processes.
Fundamentally, Oracle’s business remains on solid footing. The company’s remaining performance obligation, a measure of its contractually secured future revenue, stood at $130 billion for the third quarter of fiscal year 2026. This represents a staggering 325% increase year-over-year. Management has provided revenue guidance of $67 billion for the full current year, with expectations for $90 billion the following year.
The critical question for investors is whether these strong fundamentals and the new AI agent portfolio will be enough to restore confidence. The answer may hinge on the upcoming quarterly earnings report and, more importantly, on the speed at which enterprise customers are willing to entrust Oracle with higher levels of automation in their most critical business processes.
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