Abstract Recent decades have seen persistent sea surface temperature (SST) cooling in the Southeast Pacific (SEP) and Southern Ocean (SO), contrasting with broad ocean warming expected under anthropogenic forcing. Using an interpretable machine‐learning attribution framework applied to multi‐source observations and reanalyses, we focus on monthly SST variations beyond intrinsic oceanic persistence and relate them to physical predictors. Cooling in each region is associated with distinct combinat