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Reading: Chip Stocks Slid for Six Straight Days. TSMC’s CEO Says AI Demand Still Exceeds Supply.
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Home » Blog » Chip Stocks Slid for Six Straight Days. TSMC’s CEO Says AI Demand Still Exceeds Supply.
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Chip Stocks Slid for Six Straight Days. TSMC’s CEO Says AI Demand Still Exceeds Supply.

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Last updated: October 19, 2026 9:41 PM
David Graff
Published: October 21, 2026
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TSMC fab buildings in Hsinchu, Taiwan, at dusk with traffic in the foreground
TSMC fabs in Hsinchu, Taiwan. Photo: 曾 成訓, CC BY 2.0

In the middle of October, two very different verdicts on AI arrived in the same week.

The market’s verdict was nervous. Chip stocks slid for six straight sessions, with the Philadelphia Semiconductor Index down roughly 10 percent and on pace to erase about $1 trillion in value, Quartz reported. In Seoul, memory makers Samsung and SK Hynix were hit hard as concerns about AI, interest rates and AI debt mounted, Bloomberg reported.

The verdict from the company that actually makes the chips was the opposite. On October 15, TSMC reported third-quarter revenue of $46.72 billion, up 41 percent from a year earlier in dollar terms, and net income up nearly 69 percent in local currency, according to its earnings release. It guided to fourth-quarter revenue of $52.3 billion to $54.3 billion.

TSMC, $TSM, Q3-26.

AI demand drives record sales, but the 2nm ramp pressures margins.

🟢 Revenue: $46.72B vs $45.62B est.
🟢 Diluted EPS/ADR: $4.60 vs $4.45 est.
🤖 HPC: 68% of sales, +22% QoQ
📉 Gross margin: 66.4%, -1.3 pts QoQ pic.twitter.com/0h8mSQnBvg

— EarningsTime (@Earnings_Time) October 15, 2026

What TSMC’s CEO said

On the earnings call, chairman and CEO C.C. Wei said the AI market continues to be very strong and that TSMC now expects full-year 2026 revenue growth of around 44 percent in dollar terms, according to the call transcript. He pointed to the shift from chatbots to AI assistants and agents, and to wider adoption of open-source models, as drivers of more demand for leading-edge chips. TSMC reiterated a 2026 capital budget of $60 billion to $64 billion.

The most revealing exchange came when Citigroup analyst Laura Chen asked directly about the risks investors were selling on: data center power availability, recent funding concerns and bottlenecks in other components, and how TSMC avoids overbuilding. Wei said TSMC factors in customers’ capital spending, data center buildouts, financing and power supply, and that by its own assessment demand is still higher than supply. Asked whether TSMC still expects AI accelerator revenue to grow in the mid- to high-50 percent range annually through 2029, he said he saw no sign of a slowdown and that growth would probably be higher.

Who is right

It is tempting to treat TSMC’s numbers as settling the argument. They don’t, and the reason is where TSMC sits in the chain.

TSMC sees orders. Its customers, the chip designers and through them the cloud companies building AI data centers, decide how many chips to buy based on their own spending plans. When Wei says demand exceeds supply, he is describing those plans with unusual clarity. He is not, and cannot be, describing whether the spending will pay off for the companies at the end of the chain.

The market’s worries were about exactly that second question: whether the companies financing the AI buildout can keep raising money, whether there is enough power to run what they are building, and whether more efficient models will need less hardware than expected. Those are questions about the customers’ customers. A strong quarter at TSMC is evidence that spending plans are intact. It is not evidence that they are wise.

The case for believing TSMC

There is a strong argument for weighting TSMC’s view heavily. The company builds capacity years ahead and has every incentive not to overbuild, since idle fabs are expensive. Its fourth-quarter guidance is a concrete forecast, not a mood, and its third-quarter revenue beat the top of its own guidance range, according to its investor relations data. Wei’s answer on overbuilding was that TSMC already accounts for the very risks investors were citing.

Wei also offered a counter to a recurring fear among investors, that more efficient AI models could mean less demand for hardware. He argued the reverse: efficiency lowers the barriers to using AI, which leads to more usage and more demand for leading-edge chips.

What to watch

The tension will resolve one of two ways. If the cloud companies keep raising and spending, TSMC’s guidance will hold and the selloff will look like a scare. If financing tightens or power constraints slow data center construction, the effect would likely show up in TSMC’s orders within a few quarters. The fourth-quarter results, and whether TSMC holds its capital budget for 2027, are the clearest signals to watch.

Related reading: TSMC Will Put 30% of Its Most Advanced Chipmaking in Arizona. · Is AI a Bubble or a Revolution? The Honest Answer Is Both. · Microsoft’s AI Laptop Starts at $2,599.

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ByDavid Graff
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David Graff is the editor-in-chief of Techpinions, where he covers the business of technology: AI, semiconductors, data centers and energy, crypto and fintech regulation, and the deals reshaping media and tech. A journalism graduate from USC, he focuses on the numbers behind the headlines: what companies promise versus what the data shows. His reporting on OpenAI's delayed disclosure of its Australian Medicare breach was mentioned on Techmeme. He also writes for Technori. Connect with David on LinkedIn. Email him at david@techpinions.com
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