TSMC Caught in the Crossfire as US Renews Focus on Huawei
- Items, such as semiconductor designs, when produced by Huawei and its affiliates on the Entity List (e.g., HiSilicon), that are the direct product of certain U.S. Commerce Control List (CCL) software and technology; and
- Items, such as chipsets, when produced from the design specifications of Huawei or an affiliate on the Entity List (e.g., HiSilicon), that are the direct product of certain CCL semiconductor manufacturing equipment located outside the United States. Such foreign-produced items will only require a license when there is knowledge that they are destined for re-export, export from abroad, or transfer (in-country) to Huawei or any of its affiliates on the Entity List.
Analysis
TSMC is a law-abiding company that also values its relationship with key customers. However, TSMC is listed both in Taiwan and the US stock markets, so it must be regulated by Taiwan and United States regulations. In addition, the majority of TSMC’s manufacturing equipment is from American companies. According to our latest statistical data, the share of the top three US semiconductor equipment companies (including AMAT, Lam Research, KLA) in total was more than 40% in 2019. Another leading semiconductor equipment company is the Dutch company, ASML, but it also has a US listing. So US-listed companies have a decisive influence. TSMC will feel compelled to follow the new US BIS restrictions and will not take new orders from Huawei after the cut-off date – 15 May 2020, and will need to clear the WIP (wafer in process) within 120 days.The impact of the new regulation on TSMC's business
Huawei is used to relying on TSMC to produce:- High-performance APs for smartphones, including Kirin 980 (7nm), 990 (7nm), and 1020 (5nm).
- Chips for 5G base station, including Tiangang (7nm).
- Chips for data center and cloud computing, including Kunpeng (7nm), Ascend 310 (12nm), and Ascend 910 (7nm).
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Author
Brady Wang
Hi, I’m Brady Wang, a seasoned professional with over 20 years of experience in the high-tech industry, spanning semiconductor manufacturing, market intelligence, and strategic advisory roles. Currently, I serve as an analyst at Counterpoint Research, where I specialize in semiconductors with a focus on advanced applications such as automotive, server platforms, and cutting-edge process nodes. My core research centers on AI servers and their key components, including GPUs, custom accelerators, high-bandwidth memory (HBM), CPUs, and advanced packaging technologies. I also track the evolution of AI server architectures, interconnect technologies, and data center deployment trends. By combining deep technical knowledge with market insight, I help clients navigate the fast-changing AI infrastructure landscape and make strategic, data-driven decisions.