Hyperscalers hit a $2 trillion backlog milestone, signaling unprecedented AI demand while exposing capacity constraints that could reshape infrastructure strategies across Microsoft, AWS, Google Cloud, and Oracle.
Oracle
Enterprise leaders should focus less on automation savings and more on how agentic AI accelerates growth and customer value.
Oracle argues the future is not apps versus agents, but applications and agents working together as one.
Agentic AI is shifting enterprise systems from answering questions to taking secure, autonomous action at scale.
While many predict AI will destroy enterprise software vendors, SAP’s Q1 2026 results tell a different story: cloud revenue rose 27%, Cloud ERP Suite grew 30%, and backlog climbed 25%, proving strong momentum.
Oracle EVP Steve Miranda shares the company’s agentic AI vision, introducing its first Agentic Applications and explaining how AI agents are reshaping enterprise workflows.
By leveraging AWS Interconnect multicloud, Oracle enhances its cloud offerings with private, high-speed connections that simplify multi-cloud deployments and unlock new opportunities for enterprise agility and performance.
AWS launched its Interconnect-multicloud service years after Oracle pioneered the concept, highlighting a shift in cloud leadership. Oracle’s partnerships and strategy have reshaped the market, leaving AWS in a reactive, follower position.
Marc Benioff’s vision of the Agentic Enterprise places Slack at the core, transforming it into an operating system where AI agents collaborate with humans to drive productivity, innovation, and faster decision-making.
With new agentic AI capabilities, Oracle eliminates the need for complex data pipelines, enabling faster development and deployment of AI applications while maintaining enterprise-grade security and scalability.
With its AI-first strategy, Oracle is transforming its database into an intelligent decision-making engine, enabling customers to activate data and gain a major competitive edge.
New AI platforms are eliminating data silos by integrating multiple enterprise systems into unified, intelligent workflows.
Agentic AI is transforming ERP implementations by automating design, testing, and support, reducing costs and accelerating delivery timelines significantly.
Steve Miranda outlines Oracle’s vision for agentic applications that don’t just assist — but actively drive business outcomes across sales, supply chain, and workforce operations.
A unified, end-to-end approach is replacing fragmented healthcare systems with connected data and intelligent workflows powered by modern infrastructure.
By leveraging AI, Oracle aims to shift healthcare from disconnected systems to a fully integrated ecosystem connecting providers, payers, and patients with improved efficiency and coordination.
Oracle and Microsoft’s once-unthinkable partnership has become a mainstream “multi-cloud miracle,” unlocking faster innovation, improved security, and simpler architectures while reshaping how competitors collaborate for customer success.
Larry Ellison steps back on earnings calls as Mike Sicilia and Clay Magouyrk take the lead, signaling a deliberate and confident leadership transition at Oracle.
Oracle’s leadership transition signals a new chapter, with Larry Ellison focusing on technology vision while the new CEOs take the lead.
OpenAI’s ambitious 2030 revenue forecast collides with contradictory spending cuts, prompting concerns about strategy, execution, and credibility among enterprise customers and key infrastructure partners.