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US Tech Stocks Plunge as Taiwan AI Supply Chain Faces 4 Major Changes

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Google falls below annual line into death cross, 巴菲特 faces paper loss of about 70億美元, Facebook struggles near annual line, Amazon and Intel post weak earnings, analysts point to 4 key structural changes for Taiwan AI supply chain including order concentration and inference shift.

Heavyweight US tech stocks Google, Facebook, Amazon and Intel posted weak earnings, triggering sharp corrections. After earnings, Google fell below the annual line into a death cross, with medium- to long-term trend weakening, while the heavy position held by 巴菲特 is now facing a paper loss of about 70億美元, or about 新台幣2240億元, and Facebook is struggling near the annual line. Analysts expect this correction to bring 4 key changes and structural impacts to the Taiwan AI supply chain.

Computing Power Concentrates in Top Cloud Giants

Analysts note that the 兩百多家 emerging cloud computing vendors facing closure mentioned by 馬斯克, such as Nebius, CoreWeave and others, including 新興 vendors, are themselves high-risk clients. After their funding dries up, AI computing power will concentrate in the hands of 4 well-capitalized top cloud providers: Microsoft, Google, Amazon and Facebook. 鴻海, 廣達, 緯創 and other Taiwan makers are already first-tier suppliers to Microsoft and the other 4 major cloud providers, so after the client reshuffle, bad-debt risk will fall, long-term earnings will be better protected, and Taiwan orders will become more stable.

Shift From Training to Inference as In-House Chips Rise

Second, over the past 2年 the market疯狂 purchased chips for large-model training, and as Microsoft, Amazon and others are now pressed by the market to monetize AI applications, AI infrastructure is accelerating its shift from training to inference. To reduce reliance on expensive Nvidia chips, North American giants are increasing investment in self-developed inference chips, such as Google TPU. This will drive advanced-process outsourcing for 台積電, as well as long-term opportunities for 聯發科, Alchip, 創意 and other ASIC design service firms, with a clear shift in computing focus.

Hardware Bottlenecks Persist as Valuations Normalize

Third, capacity remains tight, and the global data-center expansion wave has not stopped on the price correction, with major firms pledging that capital expenditure this 今年 will continue to hit new highs. As Nvidia high-power racks enter volume production and iteration this 今年, manufacturing bottlenecks in water cooling, liquid cooling, high-spec power supplies and high-bandwidth memory persist, and Taiwan makers able to overcome yield issues and enter the high-end component supply chain retain major advantages in unit price and gross margin, with the spec-upgrade trend unchanged. Fourth, institutional analysts estimate that driven by the AI theme, overall corporate earnings in the Taiwan tech supply chain this 今年 still carry strong double-digit momentum, with the medium- to long-term bull case intact. The current plunge is a deleveraging and high-valuation digestion correction, and when prices return to reasonable or even undervalued levels, it instead provides entry points for long-term value investors, with prices and fundamentals diverging for consolidation.

FAQ

Why did weakness in Google shares draw market attention?

After earnings Google fell below the annual line into a death cross, with medium- to long-term trend weakening, the heavy position held by 巴菲特 faces a paper loss of about 70億美元, or about 新台幣2240億元, and Facebook is also struggling near the annual line.

How does computing-power concentration affect Taiwan makers?

With 兩百多家 emerging cloud vendors such as Nebius and CoreWeave facing funding risk, computing power will concentrate in Microsoft, Google, Amazon and Facebook, and with <a href="https://stock.uurl.ws/stock/2317">鴻海</a>, <a href="https://stock.uurl.ws/stock/2382">廣達</a> and <a href="https://stock.uurl.ws/stock/3231">緯創</a> as first-tier suppliers, bad-debt risk falls and orders become more stable.

What long-term opportunities exist for the Taiwan supply chain?

As computing shifts from training to inference, demand for self-developed chips such as Google TPU rises, benefiting <a href="https://stock.uurl.ws/stock/2330">台積電</a> advanced processes and ASIC firms like <a href="https://stock.uurl.ws/stock/2454">聯發科</a>, Alchip and <a href="https://stock.uurl.ws/stock/3443">創意</a>; bottlenecks in water cooling, high-spec power and high-bandwidth memory also favor high-end Taiwan makers.