Stock Markets June 4, 2026 01:58 AM

TSMC Sees Ongoing AI-Led Demand Driving Chipmaker Growth

CEO C.C. Wei tells shareholders the company is scaling capacity but full U.S.-based fulfillment will take 'a very long time'

By Jordan Park TSM

Taiwan Semiconductor Manufacturing Company CEO C.C. Wei told shareholders at the company’s annual meeting that demand for computing power and advanced semiconductors tied to artificial intelligence remains strong. Wei said TSMC is working to satisfy customer needs, is investing $165 billion in new Arizona fabs, and warned that fully meeting U.S. customers from U.S. production will require a prolonged effort. He also affirmed the company’s commitment to employee welfare amid recent labor developments in the industry.

TSMC Sees Ongoing AI-Led Demand Driving Chipmaker Growth
TSM

Key Points

  • TSMC CEO C.C. Wei said customers remain positive about AI-driven demand for computing power and advanced semiconductors - sectors including technology and cloud services are directly affected.
  • TSMC is investing $165 billion to build new factories in Arizona to expand production capacity - this impacts capital goods, construction, and semiconductor supply chains.
  • Wei warned that fully meeting American customers’ needs with U.S.-based production will take a "very long time," highlighting execution and timing considerations for the manufacturing expansion.

Taiwan Semiconductor Manufacturing Company (TSMC) Chief Executive C.C. Wei expressed confidence in the company’s prospects as artificial intelligence continues to drive demand for processing power and cutting-edge chips.

Speaking at TSMC’s annual shareholders’ meeting on Thursday, Wei said customers maintain a positive outlook for AI-related demand. He emphasized that the company is taking steps to meet customer requirements and is expanding production capacity accordingly.

Wei highlighted TSMC’s substantial capital plan in the United States, noting the company is investing $165 billion to construct new factories in Arizona. He cautioned, however, that satisfying all of its U.S. customers entirely from facilities located in the U.S. will take a "very long time," and did not provide a specific timetable for when that objective might be achieved.

In addition to capacity and customer-service remarks, Wei reiterated TSMC’s commitment to its workforce. He said the company remains fully committed to taking care of its employees.

The comment on employee commitment came in the context of wider industry labor developments. Wei’s remarks followed recent news that Samsung Electronics reached a deal with its union last month to avert a strike, after disagreements over profit-sharing and pay.

TSMC’s leadership framed the company’s near-term growth narrative around the expansion of artificial intelligence and the consequent need for advanced semiconductors and greater computing power. Wei’s presentation to shareholders emphasized both the demand outlook and the strategic investments TSMC is making to expand manufacturing capacity, particularly in the U.S.

While the company is pursuing significant investment in Arizona to bolster production, Wei’s warning that complete U.S.-based fulfillment of customer needs will require an extended period underscores ongoing execution and timing challenges tied to large-scale factory builds and supply-chain adjustments.


Summary

TSMC CEO C.C. Wei said customers are optimistic about AI-driven demand. The company is investing $165 billion in Arizona capacity and aims to meet customer needs, but fulfilling all U.S. customer demand from U.S. facilities will take a "very long time." Wei also stressed the company’s commitment to employees amid industry labor developments.

Risks

  • Timing risk - Significant U.S. factory builds may delay the point at which TSMC can fully satisfy U.S. customers from U.S.-based production, affecting technology supply chains.
  • Labor and industrial relations uncertainty - Ongoing workforce and union developments in the semiconductor industry could influence operations and cost structures, with implications for manufacturing and the broader tech sector.

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