What happened
The Straits Times, citing Bloomberg reporting, says an eight-session sell-off in US semiconductor shares erased about 16% from the sector and pushed a Goldman Sachs basket of Asian AI hardware stocks down 11% in one week. Several leading component suppliers fell sharply, including Nan Ya Plastics, Unimicron Technology and Samsung Electro-Mechanics. The report links the pressure to higher oil prices, inflation concerns and questions about whether hyperscalers and neocloud providers can continue financing data-centre expansion. It also says there is not yet much evidence that financing strain has reduced orders.
The Straits Times reports that rising oil prices and inflation concerns intensified an existing sell-off in US technology stocks. An eight-session decline in US semiconductor shares, described as the longest since 2008, reduced the sector’s by roughly 16%, while the Nasdaq 100 had its worst week since April 2025.
According to the report, a Goldman Sachs basket of Asian AI hardware stocks fell 11% in the week. Nan Ya Plastics dropped 12% from a record high, Unimicron Technology fell 14% and Samsung Electro-Mechanics declined 23%. The report identifies these companies as suppliers of printed-circuit-board materials or electronic components used in the wider AI hardware ecosystem.
The report says investors are increasingly focused on whether hyperscalers and neocloud operators can finance the infrastructure needed to deploy AI systems. It cites concerns about distressed pricing in CoreWeave bonds and a 25% weekly decline in CoreWeave shares, including a 12% fall on Oct. 16.
The Straits Times also cites comments from investment managers, Broadcom chief executive Hock Tan and Gartner. Gartner reportedly estimates that more than US$3.5 trillion of AI infrastructure spending could be at risk of impairment by 2030, but the source does not provide the underlying methodology or independently verify that estimate.
The source says there is little evidence so far that financing strains have translated into weaker orders. It also reports that some investors remain confident that strong AI demand will support the sector.
Source details: straitstimes.com ↗
Why it matters
The report highlights a financing risk that extends beyond the companies designing or manufacturing AI chips. If data-centre operators cannot fund planned infrastructure, demand could weaken for memory, components, printed-circuit-board materials and manufacturing equipment across Asia. The broader investment implication is that companies benefiting from AI spending may be exposed to delays even while underlying demand for computing remains strong. The Straits Times’ account is not independently confirmed here, and it does not establish that spending or orders have already declined.
The reported development matters because AI infrastructure spending supports a broad chain of Asian companies, not only chip designers and foundries. The source says TSMC, Samsung and SK Hynix together represent nearly a third of the MSCI Asia ex-Japan Index, with suppliers adding further exposure to the same spending cycle.
A financing-driven slowdown could affect companies farther from the chip itself first, because component and equipment orders may be more sensitive to project timing. That is a risk described by the report, not a confirmed outcome.
The report provides evidence of market repricing and investor concern, but not proof of reduced AI demand, project cancellations or deteriorating earnings. The cited Gartner estimate and market commentary should therefore be treated as reported analysis rather than independently established fact.
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What to watch next
Watch for evidence of delayed or cancelled data-centre projects, weaker orders at Asian suppliers, changes in borrowing conditions for hyperscalers and neocloud providers, and whether chip demand remains resilient despite the market sell-off. It is also important to distinguish valuation declines from a confirmed deterioration in operating results. The source does not establish how long the stock declines will last or whether financing concerns will materially reduce AI infrastructure investment.
The key unknown is whether borrowing costs and market pressure will translate into delayed data-centre construction or lower orders for Asian suppliers. The source explicitly says that evidence of weaker orders is limited so far.
Future company results, order commentary and infrastructure spending plans may clarify whether the sell-off reflects temporary valuation pressure or a change in the AI buildout’s economics.
The source does not document any new product, deployment, access change or pricing change. There are no user access conditions or prices to report.