The rapid advancement of artificial intelligence (AI) has spurred its adoption across various industries, including transportation and environmental sustainability sectors for example in End-of-Life Vehicle (ELV) management. AI holds the potential to revolutionize ELV practices by enhancing the efficiency of dismantling processes, optimizing recycling techniques, and ensuring resource recovery in a sustainable manner. However, despite the promising prospects, the success of AI implementation in ELV depends significantly on the perceptions and readiness of technical graduates entering the workforce. A survey was distributed anonymously to recent graduates from four institutions within the Malaysian Technical University Network (MTUN). A total of 152 responses were analysed. The results suggest that 67.1% of respondents were aware of the use of AI in ELV practices, and 75.7% agreed that AI could improve the efficacy of vehicle dismantling processes. Nevertheless, a substantial socio-economic challenge was underscored by the 36.2% of graduates who expressed apprehensions regarding the potential for AI to result in job displacement. Furthermore, 88.8% of respondents expressed the belief that additional education and training on AI in ELV practices are essential. These results emphasise the necessity of targeted educational reforms and industry partnerships to address the AI preparedness disparity among technical graduates. The study concludes with suggestions for policymakers, educators, and industry leaders to guarantee that the integration of AI not only improves the efficacy of ELVs but also fosters a skilled workforce that is prepared to adopt future technological advancements.
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