This research report outlines the significant cloud trends anticipated for 2026, highlighting the transformation in cloud decision-making influenced by AI advancements. The report begins by discussing how AI agents are evolving from mere suggestion tools to autonomous entities capable of executing tasks within isolated environments, thus changing the traditional cloud economics. It notes that repatriation of workloads is becoming a mainstream strategy, driven by the need for predictable and high-volume workloads to be managed on-premises, while bursty workloads remain in the public cloud. The document also addresses the financial implications of separating training and inference processes, emphasizing the importance of strategic workload placement. Geopatriation is introduced as a new consideration, where regulatory compliance influences cloud architecture decisions. Furthermore, the report discusses the growing importance of Infrastructure FinOps as organizations seek to manage cloud costs effectively amidst rising expenditures. The insights provided aim to guide enterprises in navigating the evolving cloud landscape.