TSMC CEO: Full-Year Revenue Growth Expected to Exceed 30%
Alina Collins
TSMC Chairman C.C. Wei told the annual shareholder meeting that AI-driven demand for advanced semiconductors has structural support, reaffirming the company's forecast of over 30% full-year revenue growth in dollar terms — a signal that TSMC views the current AI boom as a long-term trend, not a short-lived pulse.
Why is AI demand still climbing?
AI models are shifting from content generation toward agentic AI — systems that make decisions and execute tasks autonomously. This means → each query consumes more tokens, pushing compute demand steadily higher.
Wei directly cited customer feedback: AI adoption is rising across consumer, enterprise, and sovereign AI (government-built AI systems) use cases.
In plain terms = demand is not coming from one industry or one hype cycle — it is being pulled by multiple scenarios at once, which is why TSMC calls it structural.
Where does the "over 30%" confidence come from?
Wei stated explicitly: in dollar terms, TSMC expects full-year revenue growth to exceed 30%.
Back in April the company already raised its full-year revenue forecast and announced higher capital expenditure to meet rising demand.
In plain terms = TSMC is not just talking up the outlook — it is spending real money on capacity. That speaks louder than any forecast.
How secure is TSMC's strategic position?
TSMC is Nvidia's primary foundry supplier; the bulk of AI chip production runs through its fabs.
At this week's Computex in Taiwan, executives from Nvidia, Intel, and other top global tech firms gathered and broadly praised Taiwan's central role in the global supply chain.
This reflects something deeper: TSMC's moat is not just scale — it is hard-to-replicate process-technology differentiation paired with a broad customer base.
Where is the risk?
Wei's confidence rests on "customers, and our customers' customers" continuing to signal positive demand — but whether AI demand converts into actual capacity consumption over a longer time horizon remains the key test.
In plain terms = today's high growth is real, but the "structural trend" verdict still needs time to prove out. If AI applications land slower than expected, demand could pull back.
Content is for reference only, not financial advice.