Can historical data alone predict unprecedented future events?

Data scientists often rely on historical data to train predictive models, but is this approach sufficient for anticipating unprecedented future events? The assumption that past patterns will repeat may lead to significant blind spots. Should the field prioritize methods that account for novel and unpredictable scenarios?