Climate change strongly modifies runoff in alpine regions like Switzerland, altering water supply and affecting both human sectors and natural ecosystems. We test whether a model that learns only from past observations can credibly project future runoff under climate scenarios. It captures major expected shifts and reveals known limits for extremes. Its speed and ability to generalize across catchments make it a promising tool for assessing climate impacts on water resources.