On the one hand, this has implications when evaluating new model components: using an objective function that cannot capture the impact of a model component can result in false negatives because the model component will not receive an appropriate weight, and the model may thus seem to be of little use, even in a human evaluation.
it is an important finding for the evaluation of objective functions: the performance of an objective function is tied to the power of the underlying model.