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US Tech Giants Plunge, Taiwan AI Chain Faces Four Shifts

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Google, Facebook and other US tech firms reported weak earnings and saw sharp stock declines. Analysts say Taiwan's AI supply chain will face four structural impacts: order concentration, a shift to inference, spec upgrades, and valuation reset. The long-term bullish foundation remains intact, with the correction seen as overheated deleveraging worth watching.

After Google reported earnings, its share price fell below its annual moving average and formed a death cross, weakening its medium- to long-term trend, while Facebook is also struggling near its annual moving average. Against the backdrop of Warren Buffett's heavy bet on Google, the position is currently sitting on a book loss of about US$7 billion, or about NT$224 billion. With US heavyweight tech stocks Google, Facebook, Amazon and Intel reporting weak earnings and undergoing sharp corrections, analysts expect four key changes and structural impacts for Taiwan's AI supply chain.

Orders Concentrate Among Four Major Clouds, Taiwan Makers' Structure Stabilizes

First, capital will concentrate in top-tier cloud service giants, making Taiwanese makers' orders more secure. Elon Musk noted more than 200 emerging cloud-computing vendors facing bankruptcy, such as Nebius, CoreWeave and others, which are themselves high-risk customers. After these companies run out of funding, AI computing power will concentrate in the hands of four well-capitalized top-tier cloud providers: Microsoft, Google, Amazon and Facebook. Hon Hai, Quanta, Wistron and other Taiwanese makers are already first-tier contract manufacturers for Microsoft and the other three major cloud providers. After the customer reshuffle, bad-debt risk will fall and long-term profitability will be better protected.

From Training to Inference, In-House Chips Bring Opportunities

Second, the focus of computing power is shifting from training to inference. Over the past two years the market疯狂 purchased chips for large-model training, and as Microsoft, Amazon and other major firms are now being asked by the market to monetize AI applications, AI infrastructure is accelerating toward inference applications. To reduce reliance on expensive NVIDIA chips, North American giants are increasing investment in in-house inference chips, such as Google TPU, which will drive advanced-process outsourcing to TSMC, as well as long-term opportunities for ASIC design service firms such as MediaTek, Alchip and Global Unichip.

Bottlenecks Remain, Spec Upgrades and Capex Stay High

Third, hardware bottlenecks remain and the spec-upgrade trend is unchanged. The global data-center expansion wave has not stopped because of the stock-price correction, with major firms pledging that capital expenditure this year will continue to hit new highs. As NVIDIA's high-power racks enter volume production and iteration this year, manufacturing bottlenecks in water cooling, liquid cooling, high-spec power supplies and high-bandwidth memory remain. Taiwanese makers that can overcome process-yield hurdles and squeeze into the high-end component supply chain will still enjoy significant advantages in long-term average selling prices and gross margins.

Double-Digit Profit Momentum Intact, Valuations Return to Reasonable Levels

Fourth, share prices have decoupled from fundamentals, with long-term valuations returning to reasonable ranges. Institutional investors estimate that, driven by the AI theme, overall corporate earnings in Taiwan's tech supply chain will still post very strong double-digit momentum this year, and the foundation for a medium- to long-term bullish structure remains intact. The current plunge is a deleveraging and overheated-valuation digestion. When share prices return to reasonable or even undervalued levels, it will instead provide entry points for long-term value investors.

FAQ

Why does Google's weakness still benefit Taiwan contract manufacturers?

As high-risk emerging cloud-computing customers exit, orders concentrate with the four major cloud providers Microsoft, Google, Amazon and Facebook. Hon Hai, Quanta and Wistron are already their first-tier contract manufacturers, so bad-debt risk falls and long-term profitability becomes more secure.

What is the impact on Taiwanese makers as computing shifts to inference?

As the market shifts from large-model training to inference applications, North American giants are increasing investment in in-house inference chips, such as Google TPU, driving advanced-process outsourcing to TSMC and opportunities for ASIC design service providers such as MediaTek, Alchip and Global Unichip.

Does the stock plunge mean AI demand is reversing?

Analysts do not see a demand reversal. Data-center expansion and record-high capital expenditure this year remain unchanged, bottlenecks in water cooling, high-spec power supplies and high-bandwidth memory persist, and Taiwan's tech supply chain still has double-digit earnings momentum this year. The move is seen as an overheated correction.