TSMC’s AI Bet to Break the Capacity Bottleneck as Orders Stretch to 2028

TSMC is fighting fire with fire. As the world’s largest contract chipmaker struggles to keep pace with insatiable demand for advanced semiconductors, it is turning to Nvidia’s artificial intelligence to supercharge its own production lines. The move is designed to accelerate output, cut defect rates, and squeeze more working chips from every wafer — a critical edge when every factory is running flat out.

The market gave its approval. TSMC shares advanced 3.89% to €374.00 on Monday, shrugging off a weak sector-wide tone. Even so, the stock remains 7.6% below the 52-week high of €389.50 set on June 3, reflecting the tension between record earnings and the physical constraints of the world’s most important semiconductor foundry. Over twelve months, the stock has virtually doubled, adding nearly 98%.

AI moves from customer to production tool

Nvidia’s technology is already embedded in TSMC’s fabs for simulation, defect control, and process orchestration. The collaboration goes beyond customer-supplier: TSMC is now a showcase for how AI can streamline the manufacturing of the very chips that power the AI boom. As geometries shrink and layers multiply, manual optimisation becomes impossible. Nvidia’s software helps TSMC boost yield and cut cycle times — a direct response to the capacity crunch gripping the industry.

That crunch is severe. The 3-nanometer lines are fully loaded. Market reports indicate that the more advanced 2-nanometer process is booked through 2028. Speaking at the annual shareholder meeting on June 4, CEO C.C. Wei confirmed that TSMC expects US-dollar revenue to climb more than 30% this year, a target backed by the first-quarter surge of over 35% year-on-year. Wei also hinted at price increases — gradual rather than abrupt — as the company looks to monetise its technological lead without alienating customers.

A $37 million bet on further gains

Despite the recent pullback from the record high, options activity suggests some investors see a rebound ahead. On June 5, a large block of 17,000 call contracts was opened, expiring August 2026 with a notional value of roughly $37 million. Such positioning typically reflects a bet that the shares will move higher, possibly in anticipation of the second-quarter earnings report, which will test whether TSMC can sustain that 30% growth narrative.

Should investors sell immediately? Or is it worth buying TSMC?

The stock’s short-term technicals have wobbled: pre-market trading on Saturday saw the shares slip below their short-term moving averages. But the fundamental story remains intact. The company expects revenue growth of more than 30% for the full year — a projection that, if confirmed in the Q2 report, could quickly bring the 52-week high back into play.

American expansion hits roadblocks

Not everything is running smoothly. TSMC’s plan to build 2-nanometer capacity in the United States has encountered delays. Environmental permits are taking longer than expected, and a shortage of construction workers is slowing progress. Wei acknowledged that it will take a “very long time” before US customers can be fully supplied from American fabs. For now, Taiwan remains the indispensable production base for the most advanced chips, a reality that carries both commercial and geopolitical weight.

Meanwhile, TSMC is pressing ahead with next-generation technology. Commercial production of 2-nanometer chips began in the first quarter at its Kaohsiung facility, with monthly capacity expected to reach 90,000 wafers by year-end. Beyond that, the 1.6-nanometer A16 process is scheduled for launch in 2026, reinforcing the company’s technological lead that even Intel — whose CEO Pat Gelsinger recently called TSMC a partner — cannot bypass.

The combination of AI-infused factories, a fully booked order book, and clear pricing power gives TSMC a rare hand in the semiconductor industry. The challenge is execution: turning those orders into delivered chips without triggering price resistance or losing market share to emerging rivals. The next quarterly report will be the first test of whether the factory-floor AI experiment is already translating into bottom-line results.