Asia’s critical AI hardware suppliers are facing a sharp market correction as rising borrowing costs and investor skepticism begin to outweigh the benefits of high demand. A Goldman Sachs basket of regional AI hardware stocks fell 11% last week, marking the steepest decline for the sector since mid-July, according to report data.
The Gravity Of Rising Financing Costs
The recent market rout reflects a fundamental shift in how the artificial intelligence industry funds its growth. In the early stages of the AI boom, companies relied primarily on operating cash flow to build out infrastructure. By 2026, however, the bond market and $3 trillion in off-balance-sheet commitments came to dominate AI financing, according to the AI bubble concept. This transition has left the industry vulnerable to macroeconomic conditions.
Rising interest rates and inflation act as gravity for capital-intensive projects. When borrowing costs climb, infrastructure deployment becomes significantly more expensive, potentially delaying spending across the supply chain. This pressure intensified last week as oil prices surged to $110 a barrel, stoking inflation concerns that threaten to keep borrowing costs elevated, according to reports on market conditions.
Think of it like building a massive bridge: if the cost of the steel and the interest on the construction loans rise simultaneously, the project eventually hits a point where the math no longer works. Investors are now questioning whether hyperscalers and neocloud operators can sustain the debt required to deploy AI infrastructure. The practical upshot is that even if demand for AI chips remains high, the financial machinery supporting that demand is showing signs of strain.
Hardware Suppliers Under Pressure
The disconnect between strong computing demand and falling stock valuations is most visible among the companies that provide the physical components for AI systems. While demand for AI computing power continues to exceed supply, fueling a gold rush mentality, hardware manufacturers are seeing their share prices retreat, according to market analysis. This suggests that investors are looking past current order books and focusing on the long-term sustainability of their customers.
Several standout performers in Asia experienced significant losses in a single week. Nan Ya Plastics, a producer of printed circuit board materials, saw its share price drop 12%. Unimicron Technology fell 14%, while Samsung Electro-Mechanics plunged 23%, according to the Goldman Sachs data. These companies have been central to the AI frenzy, yet they are not immune to the cooling sentiment regarding the profitability of the broader AI ecosystem.
The concern extends to the operators of the infrastructure itself. Bonds of neocloud provider CoreWeave sank to distress levels last week as investors questioned whether revenue sustainability could support the company’s debt-fueled expansion, according to market reports. When a key player in the infrastructure chain faces questions about its debt, the entire supply chain feels the tremor.
Concentration Of Capital In Foundational Models
While hardware stocks face a correction, venture capital continues to flow into the development of AI models, particularly in China. Asia’s startup funding reached $38.5 billion in the third quarter of 2026, with 55% of that capital directed toward AI-focused companies, according to Crunchbase data. This indicates that while public market investors are becoming cautious about hardware, private investors remain committed to the software side of the industry.
China remains the dominant destination for this investment, capturing 70% of the region’s startup funding in the third quarter, totaling roughly $27 billion. Large-scale funding rounds highlight the scale of this concentration. Moonshot AI, a Beijing-based foundational model company, secured $3.5 billion in July, marking one of the largest recent funding rounds in the Asian AI sector. Another significant round included a $3 billion financing for Kling AI, an AI spinout of the short video platform Kuaishou Technology.
The concentration of capital into a few favored startups remains pronounced. Despite the recent market volatility, the sheer volume of investment flowing into foundational models suggests that proponents believe the long-term returns will eventually justify the current scale of expenditure. However, the contrast between the hardware selloff and the continued venture funding of models creates a complex picture for the future of the industry.
The Sustainability Of The AI Gold Rush
The current situation highlights the risks inherent in the rapid expansion of AI infrastructure. As Jian Shi Cortesi, a fund manager at GAM Investment Management, noted, rising borrowing costs could make infrastructure projects harder to finance and delay spending, which might trigger a reset in Asian suppliers’ earnings expectations. For those following the hardware space, the primary question is no longer just about the technical capacity of the chips, but about the financial health of the companies buying them.
The history of this investment cycle shows how quickly sentiment can shift. In late 2025, spending from US mega caps was expected to reach $1.1 trillion between 2026 and 2029, with total AI spending projected to surpass $1.6 trillion. Much of the value in the broader market during 2025 was driven by a small group of large technology firms. As the market enters this new phase, the focus has moved from the initial excitement of AI capabilities to the hard reality of balance sheets and interest rate sensitivity.
For now, the hardware supply chain remains caught in the middle. It continues to operate in a high-demand environment, yet it is tethered to the financial performance of hyperscalers and neocloud providers. Whether this correction is a temporary pause or a more permanent shift in how AI infrastructure is financed will depend on the ability of these operators to demonstrate that their massive investments can generate sustainable revenue in a higher-interest-rate environment.
Sources
- AI trade reversal pierces Asia’s star picks-and-shovels stocks
- AI bubble
- Asia’s Startup Funding At Near Record High In Q3, Driven By AI
Photo: 曾 成訓 (CC BY 2.0)
