TSMC Plans $49 Billion Investment in Four Fabs for 1.4nm Chips by Mid-2028, First Full AI Integration
TSMC is investing $49 billion to build four fabs for its 1.4-nanometer (A14) chip process, targeting mass production by mid-2028. For the first time, the company will fully integrate artificial intelligence (AI) systems to manage construction risks, optimize thermal management, and improve operational efficiency. The AI monitors heavy equipment, cleanroom assembly, and safety, while also controlling EUV lithography cooling to prevent wafer deformation. Market rumors suggest each 1.4nm wafer could cost $45,000.
TSMC is pushing ahead with the development and deployment of its 1.4-nanometer (A14) chip process, targeting mass production by mid-2028. To achieve this goal, the company plans to invest $49 billion in building four 1.4-nanometer fabs. Given the unprecedented technical challenges of sub-nanometer-scale manufacturing, TSMC is, for the first time, fully integrating artificial intelligence (AI) systems to reduce construction risks, optimize plant thermal management, and enhance operational efficiency.
During the construction and fab-building phase, the deployed AI system can monitor heavy equipment operations, structural assembly, and cleanroom infrastructure setup in real time, identifying potential safety hazards and non-compliant operations. Through continuous learning and iteration, the system can reduce construction delays and logistics bottlenecks, accelerating project progress while ensuring construction safety. Heat sensors within the fab assess real-time temperature and humidity, and automatically trigger a forced cooling rest mechanism when necessary to safeguard frontline workers.
During the trial production phase, the AI system is also used for operational maintenance. Extreme ultraviolet (EUV) lithography machines generate significant heat during operation. TSMC uses an AI thermal management system to precisely regulate liquid cooling channels, preventing wafer deformation caused by thermal expansion at the 1.4-nanometer scale. These intelligent measures lower environmental and production risks but push up overall manufacturing costs. Market rumors indicate that a single 1.4-nanometer wafer from TSMC could cost as much as $45,000.
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