Zhi Tong Cai Jing·2025-12-11 23:04Core Insights - The 3C supply chain is benefiting from the cyclical recovery of its industry and the accelerated penetration of AI at the edge, presenting growth opportunities [1][2] - The compatibility of the 3C supply chain with humanoid robots is high, and its specialized manufacturing model is expected to adapt well to the mass production phase of humanoid robots [1][2] Group 1 - The 3C supply chain is fully embracing humanoid robots due to rapid innovation and scalable manufacturing capabilities [2] - The development of humanoid robots is still in its early stages, but the ability of 3C manufacturers to innovate with new materials, processes, and structures allows for quick integration into the humanoid robot supply chain [2] - As humanoid robots enter mass production, the industry is expected to shift to a specialized manufacturing model of "components-modules-finished products," maintaining a strong competitive advantage for the 3C supply chain [2] Group 2 - The acceleration of AI at the edge injects new growth vitality into the 3C industry [2] - The overall 3C terminal market, represented by smartphones, is entering a recovery cycle, laying the foundation for industry growth [2] - Major industry players are driving the acceleration of AI at the edge, with Apple set to launch its edge AI assistant, Apple Intelligence, in October 2024, potentially triggering a new replacement cycle for its extensive terminal products [2] Group 3 - Companies like Meta are collaborating with Qualcomm to optimize the Llama model for Snapdragon chips, enabling smooth operation of 3B parameter models on smartphones [3] - Domestic company ByteDance has launched the Doubao AI smartphone assistant, showcasing smooth cross-app operation capabilities [3] - Major AI companies are competing for dominance in the smartphone edge market, while also pushing for rapid iterations of AI glasses and other wearable devices, which could bring additional growth to the overall industry [3] Group 4 - Catalysts for growth include the large-scale production of robots and the accelerated implementation of AI at the edge [4]