See my sibling comment. Suppose you have data with 0.95 positive class and 0.05 negative class. You can achieve high ROC AUC with the classifier that blindly predicts the positive class. It may be "predictive" (after all 0.95 of the data is positive), but I would hesitate to praise such a classifier.