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Artificial Intelligence (AI) Stocks Are Selling Off, But Taiwan Semiconductor Is Holding Strong. Is It the Ultimate AI Stock?

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Artificial Intelligence (AI) Stocks Are Selling Off, But Taiwan Semiconductor Is Holding Strong. Is It the Ultimate AI Stock?

Taiwan Semiconductor Manufacturing (TSM) is cited as an AI build-out beneficiary, with the stock up nearly 50% YTD and only ~7% below its all-time high after a July 1 pullback. The article argues TSMC is critical to AI since it generates ~72% of global chip foundry revenue and is likely to capture demand as Nvidia expects AI hyperscalers’ data center capex to rise to ~$1T in 2027 (from ~$650B in 2026), implying $3T–$4T annually by 2030. Despite a premium valuation at ~28x forward earnings, the piece concludes TSM is a strong buy-and-hold for the duration of the AI cycle.

Analysis

TSM is the cleanest way to own AI capex without taking single-product risk: it monetizes the entire spend cycle regardless of whether the demand winner is NVDA, AMD, or AVGO. That makes it a lower-beta beneficiary than the GPU names, but it also means the stock is increasingly a proxy for sustained hyperscaler spending, so the next leg depends more on estimate revisions than on narrative momentum. The second-order winners are less obvious: advanced packaging, test/assembly, and power infrastructure are the true capacity choke points if AI buildout stays on track, which limits how much of the economics TSM can capture versus the broader ecosystem. On the flip side, GOOGL and other hyperscalers are the hidden funding source; if capex keeps compounding faster than monetization, free-cash-flow pressure can become the first macro pain point long before semiconductor demand rolls over. Contrarian risk: the market may be underestimating how quickly the premium multiple can compress if geopolitical headlines worsen or if the bottleneck shifts away from wafer capacity into packaging and memory. Over 1-3 months, the key catalyst is capex commentary and TSM margin/utilization guidance; over 6-18 months, the risk is that AI spending normalizes before end-demand proves out, which would leave TSM still good but not as exceptional as priced.