Depends on the complexity of the interactions between variables. There are plenty of examples where we have excellent local models, but make (comparatively) worse prediction at scale. A pretty classic example is biology - we have excellent knowledge about how genotypes work and their interactions in cells, but models of phenotypes are typically expensive, error-prone, or non-existent.