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Key developments:
- In the Asia‑Pacific region, banks and large enterprises are shifting away from pure cloud‑first AI approaches, citing cost pressures, data sovereignty and regulatory requirements that make hybrid deployments more attractive. This signals a broader move toward blending private and public resources for AI workloads.
- In Australia, a new distribution partnership between Oracle and Ingram Micro will expand access to Oracle’s cloud and AI services, underscoring growing demand for multicloud infrastructure and stronger data security capabilities.
- OutSystems has opened its Agent Experience to third‑party AI agents, allowing regulated firms to integrate AI coding assistants while maintaining governance, auditability and control—showcasing how hybrid cloud platforms are evolving to support AI at scale.
- Analyst firm Forrester notes that rising AI costs and governance risks are reshaping cloud strategies for 2026, with organizations re‑evaluating workload placement to balance cost, performance, compliance and control.
Why it matters:
These trends highlight that hybrid cloud is becoming the default operating model for enterprises seeking to harness AI while meeting compliance and cost objectives. By combining on‑premise control with the scalability of public clouds, organizations can keep sensitive data in‑house, burst to cloud resources for intensive AI training, and maintain tighter security postures.
What to watch next:
- Continued partnership announcements that broaden multicloud and AI service availability, especially in regulated markets.
- More vendor solutions that enable secure, governed AI agents within hybrid environments.
- Evolving analyst guidance on AI‑centric hybrid strategies, which may drive new best‑practice frameworks and tooling for workload placement and cost optimization. [[1, 2]]