Oracle outlined its strategy for AI deployment through a distributed cloud framework at the Six Five Summit: AI Unleashed 2026, emphasizing flexibility across hybrid and multi-cloud environments. Karan Batta, senior vice president of Oracle Cloud Infrastructure, said the focus has shifted from building AI models to operationalizing them across organizations.
The company cited its global footprint of 50 to 70 dedicated regions and Oracle Alloys as key enablers for distributed AI workloads. These models include public cloud, dedicated regions at customer sites, Cloud@Customer with on-premises Oracle Exadata infrastructure, sovereign clouds, and partner clouds via Oracle Alloy. Batta noted that most enterprise data resides across multiple environments, requiring AI systems that can access it where it lives rather than forcing data migration.
Enterprise demand is driving Oracle’s expansion into sectors including healthcare, financial services, manufacturing, and government, where AI applications span ERP, HCM, supply chain, and other core functions. The company highlighted customer preference for multi-cloud deployments not for complexity’s sake, but to select the best services regardless of provider. Batta described the ideal infrastructure as "invisible," ensuring seamless, secure, and scalable AI performance without requiring end-user oversight.
Oracle reported 17% revenue growth over the last twelve months, though its stock has declined 26% year-to-date, trading near $143.88 as of August 21. The company is scheduled to report earnings on September 14, with InvestingPro classifying it among the most undervalued software firms relative to fair value.
