AI, or artificial intelligence, has become a revolutionary forcein contemporary supply chain and operations management. As digitalisation and Industry 4.0 principles advance, organisations are increasingly adopting AI-driven solutions, like machine learning, predictive analytics, intelligent automation, and data-informed decision-making systems. These technologies help companies enhance demand forecasting, optimise logistics networks, automate warehouse operations, and monitor supply chain activities in real time. As a result, conventional supply chains are transforming into flexible, responsive, and data-driven systems that can swiftly react to fluctuating market conditions. The readiness of future logistics workers is essential in this technological landscape. Graduates entering the logistics and supply chain sector must possess knowledge of traditional supply chain procedures and awareness of contemporary technologies, including AI and data analytics. Proficiencies in data analysis, engagement with AI-driven systems, and technology-facilitated decision-making are increasingly vital competencies. Consequently, higher education institutions must guarantee that logistics students receive sufficient training for AI-driven environments. This study investigates the perceptions and preparedness of undergraduate logistics students concerning the adoption of AI in supply chain and operations management. A quantitative study design was employed, gathering data using a standardised questionnaire. The results show that students predominantly possess favourable attitudes towards AI and acknowledge its capacity to increase efficiency and job prospects. Nonetheless, their preparedness primarily relies on technical exposure and the inclusion of AI-related topics in the curriculum. The report advocates AI-integrated courses and enhanced collaboration between business and academia to adequately equip students for future supply chain requirements..