The value of AI in the disassembly steps has been also thoroughly assessed and confirmed through a systematic review conducted by Meng et al. in 2022 . The review demonstrates that AI holds significant potential to enhance the entire EV-LIB disassembly process, contributing to the establishment of a sustainable circular economy within the EV-LIB industry. AI's primary appeal lies in its capacity to address safety concerns, accommodate diverse battery types, and navigate uncertainties inherent in the disassembly process. By leveraging AI, disassembly efficiency and adaptability can be improved, while pollution and hazards can be minimized, ultimately leading to enhanced profitability. The review identifies and discusses both the opportunities and challenges associated with intelligent EV-LIB disassembly. It highlights areas such as EV-LIB state prognostics, disassembly planning and decision-making, and target detection as particularly promising for future research and development towards an intelligent era. However, challenges persist in achieving extensive autonomy in EV-LIB disassembly due to inherent limitations in AI, as well as the mechanical and chemical complexities of EV-LIBs, and concerns surrounding sustainable benefits. Practical insights and forward-looking perspectives are provided to advance intelligent EV-LIB disassembly, including the analysis and comparison of primary intelligent methods in the field. The review emphasizes the importance of carefully selecting and applying intelligent methodologies and techniques in EV-LIB disassembly, proposing a comprehensive framework to guide this process. Moreover, the review suggests remote human-robot collaboration with learning capabilities as a pragmatic approach to address safety and uncertainty concerns while achieving sustainability in terms of the TBL. In summary, Meng et al. systematic review underscores the transformative potential of AI in EV-LIB disassembly, while also highlighting the need for thoughtful consideration of challenges and practical implementation strategies to realize its full benefits.