As we look back on the past year, one theme has defined the global technology conversation more than any other. Artificial intelligence is no longer a future ambition. It has become a present day foundation for how modern enterprises operate, innovate, and make decisions. Across cloud infrastructure, enterprise applications, and connected data ecosystems, AI has moved from concept to capability at remarkable speed.
This momentum has been especially clear in the Oracle ecosystem, which continues to expand its AI vision across every layer of its cloud offerings. While Oracle has always been recognized for its leadership in data and applications, the company has spent 2025 demonstrating that it is determined to lead in enterprise AI as well. The message coming out of major industry events this year is unmistakable. AI is now central to how Oracle is shaping the next generation of business systems.
For our company, this industry direction aligns closely with the work we have been doing across our teams. Throughout the year, our content and thought leadership have emphasized the same fundamental truth. Enterprises want AI, but they also need clarity, readiness, and strong data foundations before they can unlock meaningful value.
This month, we bring those conversations together into a unified message about what AI progress really means for our clients and partners worldwide.
AI Is Everywhere, but Readiness Is Uneven
The surge of AI announcements across Oracle cloud applications and services has created significant excitement. Oracle has introduced major enhancements to Fusion Applications, expanded its AI Agent Studio, strengthened its partnerships with leading model providers, and opened new pathways for customers who want to integrate AI into multi cloud architectures.
However, one message from analysts and implementation partners stands out. AI adoption does not start with technology. It starts with data.
Organizations are increasingly discovering that the real work lies in developing strong data management and data governance practices. Many enterprises are now stepping back and asking essential questions.
Where does our data live. How does it flow. How well is it governed. Are our systems ready for AI driven decision making.
Our teams have been addressing these questions in recent white papers and blogs across our CushySky platforms. We have emphasized that the path to AI value begins with strengthening the operating model around data, cloud, and change adoption. That message continues to resonate with leaders who see the promise of AI but want a responsible and structured approach to using it.
Openness, Multi Cloud Strategy, and Lower Barriers to Innovation
Another major factor accelerating enterprise AI adoption is Oracle’s expanding openness. Oracle is now working closely with the broader ecosystem of model providers, data platforms, and hyperscale clouds. Initiatives such as running Oracle databases on OCI hardware inside Google Cloud, AWS, and Azure illustrate a strategic shift toward flexibility and customer choice.
This openness lowers the cost of innovation and gives organizations the ability to bring data and applications together in new ways. As we have highlighted in our multi cloud and operating model white papers, this approach provides real business benefits:
Faster modernization
Lower integration cost
More options for AI and analytics
Greater resilience and agility
Multi cloud is no longer a specialized strategy. It is fast becoming the standard for enterprises that want to build AI enabled capabilities without being constrained by legacy environments.
AI for Legacy Systems: Extending Value Instead of Forcing Disruption
One of the most significant developments this year has been Oracle’s effort to make AI accessible even to legacy application customers. While many vendors restrict advanced AI capabilities to their newest cloud suites, Oracle has taken a more inclusive approach by enabling AI agents to integrate with platforms such as E Business Suite and PeopleSoft.
This is a major advantage for organizations that want AI capability but need a measured and practical path forward.
Through OCI based tools, studios, and connectors, customers can extend intelligence into existing systems. They can modernize without undergoing a disruptive re implementation. They can advance at a pace that matches their business priorities rather than being forced into an accelerated timeline.
This aligns strongly with the themes we have shared across our UK and US blogs this year, including our guidance on transformation readiness, Fusion adoption pathways, and structured change leadership. True transformation happens when organizations are supported, not pressured.
How Our Enterprise Helps Organizations Move Forward
Across our global group, we are united by a single mission. We help organizations modernize responsibly and build the capability needed to thrive in the age of cloud and AI.
At a strategic level, our teams support clients by helping them design, implement, and improve their innovation and transformation capability using Oracle Cloud.
Our work spans the full lifecycle of enterprise advancement, including:
Innovation readiness and transformation assessments
Enterprise operating model design for AI and cloud
Configuration, integration, and optimization of Oracle applications
Multi cloud and data portfolio planning
Executive alignment and strategy workshops
Long term maturity improvement and continuous value realization
Across all these areas, we combine deep Oracle expertise with real world delivery experience. Our goal is consistent. We help organizations move from early ideas to measurable business outcomes, supported by secure data, integrated architecture, and responsible AI adoption.
This enterprise level perspective is what links all our regional content and all our client engagements. It reflects our shared commitment to helping customers build the structures, skills, and clarity they need to succeed.
Looking Ahead
As we are approaching to the final month of 2025, the global technology landscape is shifting faster than ever. The conversation has moved beyond exploring what AI can do and toward implementing AI in ways that are secure, cost effective, and aligned with each organization’s operating model.
Our white papers, blogs, and advisory work reflect that shift. We remain committed to helping our clients navigate this evolving environment with clarity and confidence.
Across our businesses, we will continue to deliver thought leadership and practical guidance that helps organizations modernize responsibly and take advantage of the full promise of Oracle cloud and AI. We look forward to continuing it with you as we move into 2026.
