In this paper we construct prediction intervals for an explosive AR(1)-process, which conditionally on the observables contain an s-step shead future value with a given coverage probability. It is shown implicitly that for prediction purposes the excellent convergence properties of the LSE are balanced by the explosive behavior of the observables so as to yield a nondegenerate distributional limit of conditional coverage probabilities.