TSMC struggles to meet AI chip demand amid US factory buildout
TSMC struggles to meet AI chip demand amid US factory buildout

Taiwan Semiconductor Manufacturing Co. (TSMC), the world's largest semiconductor manufacturer, is facing significant challenges in meeting the surging demand from American customers, even as it expands its production facilities in the United States. This situation has been highlighted by reports from Reuters and Bloomberg.

CEO Acknowledges Demand Constraints

During a shareholder meeting on Thursday, TSMC CEO C.C. Wei addressed the issue, stating, "Customer demand is so high, and we can only support so much." He emphasized that the company is making every effort to avoid becoming a bottleneck in the supply chain. The rapid growth of artificial intelligence (AI) applications has placed immense pressure on the semiconductor industry, leading to widespread shortages of memory components such as RAM and NAND Flash, which are expected to persist for several years.

AI Boom Driving Semiconductor Growth

The AI boom is significantly boosting semiconductor sales, with projections indicating that the industry could reach a valuation of $1 trillion by 2027, according to research from Deloitte. This surge in demand is putting TSMC under pressure to increase its production capacity.

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Pricing and US Production

While Wei expressed a desire to raise TSMC's prices, he assured that the company would not implement abrupt increases similar to those seen in the DRAM and SSD markets, as reported by Reuters. He also noted that fulfilling customer needs through US-based production could take a "very long time." TSMC has already established a factory in Arizona and plans to invest $165 billion in building three additional plants in the US, along with two advanced packaging facilities and a research and development center.

The company's efforts to expand its footprint in the US are aimed at addressing the growing demand from American clients, but the pace of expansion may not be sufficient to keep up with the rapid increase in AI-related chip requirements.

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