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Core Viewpoint - TSMC has become a significant risk factor in the AI supply chain due to its previous misjudgment of market demand, leading to a supply bottleneck that hampers the growth of AI infrastructure [1][2][5] Group 1: TSMC's Role in AI Supply Chain - TSMC is crucial in the AI supply chain, providing extensive foundry services and supporting large-scale cloud service providers, making it an indispensable player in the AI revolution [1][2] - NVIDIA has surpassed Apple to become TSMC's largest customer, indicating a major shift in the semiconductor market structure driven by strong demand for high-performance computing orders [1] Group 2: Investment and Capacity Challenges - TSMC's past reluctance to significantly increase capital expenditures has resulted in production line bottlenecks, which are now impacting the supply chain [2][3] - TSMC plans to raise its capital expenditure to $56 billion by 2026 to address previous investment shortfalls, but analysts view this as a response to earlier hesitations that have positioned TSMC as a "brake" in the current AI boom [2][5] Group 3: Impact on Downstream Companies - The limited capacity at TSMC has led to substantial impacts on downstream tech companies, including NVIDIA and AMD, which are facing extended delivery times [3] - Companies like Microsoft, Google, and Meta, which are developing custom silicon, are unable to place orders that guarantee timely delivery due to the supply constraints [3] Group 4: Advanced Packaging Technology - Advanced packaging technology, such as TSMC's CoWoS, is also facing significant challenges, with TSMC's capacity in this area not matching its semiconductor manufacturing capabilities [4] - The inability to scale advanced packaging capacity could hinder product delivery, even if wafer manufacturing issues are resolved [4] Group 5: Strategic Dilemma for Tech Giants - Tech companies face a strategic dilemma: continue relying on TSMC and risk losing billions in revenue due to delays, or seek alternative foundries, which could introduce higher risks [5] - TSMC's conservative strategies and underestimation of market demand have triggered a chain reaction in the supply chain, affecting various companies and highlighting TSMC's decisive influence on the global AI landscape [5]