Despite the transformative potential of Artificial Intelligence (AI) in logistics, its adoption in the air cargo industry remains limited and fragmented due to several unresolved challenges. This study aims to develop and validate a hybrid decision-support framework that diagnoses barriers, prioritizes them, and evaluates mitigation strategies. Drawing on expert insights, critical barriers were identified and prioritized using a hybrid multi-criteria decision-making approach. The study applies F