Group 1 - The core viewpoint of the article emphasizes TSMC's acceleration in capacity optimization and process reconfiguration to meet the substantial demand for AI GPUs and custom ASICs as they enter mass production [1] - TSMC is implementing strategies such as optimizing existing production lines and transitioning older nodes (7nm and 5nm) to 3nm processes to enhance capital efficiency [1][4] - The 3nm process is identified as the real bottleneck for the upcoming year, with TSMC's advanced packaging solution, CoWoS, expected to remain the mainstream packaging method for AI chips [1][2] Group 2 - The semiconductor industry is witnessing a decrease in the number of effective chips per wafer due to the introduction of more computational units and I/O designs in AI GPUs and ASICs, leading to increased demand for advanced process wafers [2] - TSMC plans to establish a CoPoS RD experimental line in Q2 of next year, with mass production expected by 2028, focusing on improving the efficiency of chip packaging [2] - TSMC's 2nm process is set to begin next year, with capacity already booked until the end of 2026, driven by the GAA architecture which offers significant performance and efficiency improvements over FinFET technology [4][5] Group 3 - Major clients for TSMC's 2nm process include Qualcomm, MediaTek, Apple, and AMD, with Apple reportedly reserving over half of the initial capacity to suppress competitors [5] - TSMC aims to increase its monthly output of 2nm chips to 100,000 by the end of 2026, positioning this cutting-edge technology as a key growth driver for the company [5]