As concerns rise over slowing Big Tech spending and calls to slow AI development, Asia-Pacific semiconductor foundries—led by TSMC and Samsung—are positioned to weather potential reductions in AI-related capital expenditure more robustly than memory makers and other hardware firms, according to a new S&P Global Ratings report.
- TSMC’s advanced manufacturing edge cushions it from AI spending volatility.
- Memory chip makers like Samsung may experience greater earnings pressure.
- China’s AI buildout favors a few top-tier cities with established tech ecosystems.
What happened
S&P Global Ratings published a report analyzing the vulnerability of four major Asia-Pacific tech hardware sectors—foundries, memory chip manufacturers, cooling component suppliers, and server assemblers—to potential slowdowns in AI investments. They modeled scenarios involving reduced capital expenditure by leading hyperscalers such as Amazon and Microsoft, as well as bottlenecks including power supply constraints and land scarcity that could delay AI projects.
The analysis found that contract semiconductor foundries, including giants like Taiwan Semiconductor Manufacturing Company (TSMC) and Samsung Electronics, are better insulated against these downside risks. Mainland China’s Semiconductor Manufacturing International Corp (SMIC) and Hua Hong Group also hold significant market shares, emphasizing the region’s strong foundry capabilities relative to other tech hardware sectors.
Why it matters
The findings highlight the relative stability of Asia-Pacific chip foundries amid growing uncertainties in AI development pace and funding. While some industry leaders advocate slowing frontier AI advancement to introduce safety measures, fears of reduced Big Tech spending have unsettled markets. This makes the resilience of foundries important for investors and policymakers watching for potential shocks to the semiconductor supply chain.
At the same time, memory chip producers such as Samsung and SK Hynix may be more vulnerable to earnings downturns if AI investment peaks earlier than anticipated, as they are less insulated from fluctuations in spending. The report additionally points out that China’s AI expansion is markedly favoring key metropolitan regions like Shanghai, Beijing, Shenzhen, and Hangzhou, which are equipped with dense talent pools, engineering infrastructure, and capital resources.
What to watch next
Stakeholders should monitor capital expenditure trends of major hyperscalers and AI cloud service providers, given their outsize influence on semiconductor demand. S&P’s base case remains optimistic about demand strength over the next two years, but any fundamental shifts in long-term AI investment could alter credit risks for Asia-Pacific tech-hardware firms, particularly memory chipmakers.
Additionally, the ongoing development of China’s AI hubs and the concentration of infrastructure and service firms in top-tier cities remain critical to the sector’s growth trajectory. How well the region manages challenges like power grid limitations and land availability will also impact the pace of AI project execution and semiconductor sector stability.