Why is the Asian semiconductor sector decoupling from the US software crisis?

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Why Are Asian Semiconductor Stocks Decoupling from the US Software Crisis?

The Divergence Between US Software and Asian Semiconductors is Widening

In recent years, software and semiconductors have been the two main drivers of global tech stock performance, with a long-term mutually reinforcing relationship: software sales expansion drives computing power and infrastructure investment, while improvements in chip capabilities support the implementation of more complex applications.

However, a significant crack in this relationship appeared in February 2026. The US software index continued to weaken, while the Global X Asia Semiconductor ETF (3119) repeatedly hit new highs. The market is no longer using "tech" as a blanket narrative, instead distinguishing between the cost-burdened adopters of AI applications (software) and their key infrastructure providers (Asian semiconductors).

The Software Sector Crisis

The current pressure on the US software sector, especially the SaaS segment, is not limited to a cyclical downturn but is a structural issue.

AI Agent Cannibalization: In the past, companies were willing to pay high subscription fees for CRM, programming, financial systems, etc. However, as autonomous AI from companies like Anthropic and OpenAI gradually gains the ability to directly perform tasks previously reliant on software, corporate demand for high-cost, patchwork software tools will gradually decline.
AI Lowers the Barrier to Entry: AI has democratized software development, significantly shortening time-to-market. This is not good news for incumbents. New entrants are leveraging AI to provide traditional software functionalities at lower costs, turning once-monopolistic features into today's commoditized products.
The Monetization Paradox: Cloud service providers bear high infrastructure costs in promoting AI adoption. However, their pricing power is limited, making it difficult to effectively pass these costs onto customers accustomed to fixed subscription fees. Consequently, the industry is entering a typical "margin squeeze" phase: R&D costs are soaring while revenue remains under pressure.

Why the Asian Semiconductor Sector is a Better Choice

Despite the poor performance of US software stocks, Asian semiconductor companies are further strengthening their position. The investment thesis for the Global X Asia Semiconductor ETF remains solid for the following reasons:

Irreplaceable Manufacturing Moat: The software industry may be replaced by better algorithms, but a 3-nanometer wafer fab cannot be replicated in a short time with money alone. TSMC's 3nm process node is essentially a deep moat built on long-term accumulation and tacit knowledge. Regardless of how the AI application landscape evolves, its implementation cannot bypass the Asian wafer manufacturing system.
HBM has Become a Key Bottleneck in the AI Supply Chain: AI performance is no longer just about computing power but also depends on data transfer efficiency. High Bandwidth Memory (HBM), dominated by South Korea's SK Hynix and Samsung, has become a core component of AI accelerators. Paradoxically, as competition intensifies on the software side, the demand (and bargaining power) for these high-performance memory components grows stronger.
The Rise of Custom AI Chips. Large tech companies (e.g., Google, Amazon, Meta) are developing their own chips to reduce reliance on NVIDIA. This is a significant benefit for Asian foundries. Because no matter who designs the chip, large-scale mass production ultimately relies on the Asian semiconductor manufacturing system. The "silicon toll" in the supply chain remains in Asia's hands.

AI Strategy

The current divergence in the tech market signals a shift in market focus from digital services to physical necessities. While software applications face intensifying competition, price pressure, and margin compression, the Asian semiconductor supply chain is the irreplaceable foundation for AI hardware.

Investing in the Global X Asia Semiconductor ETF (3119) is not a bet on which software company will ultimately win, but is based on an undeniable fact: no matter how the future AI application landscape evolves, all winners will rely on the same type of foundational chips.

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