Reshaping the Semiconductor Competition Landscape Under AI: In-depth Analysis of Advanced Process, Capacity Expansion, and Global Geopolitical Competition

Reshaping the Semiconductor Competitive Landscape Under AI: In-depth Analysis of Advanced Process, Capacity Expansion, and Global Geopolitical Chess

Introduction

The global semiconductor industry is undergoing a profound structural transformation. With the explosion of Artificial Intelligence (AI) and High-Performance Computing (HPC), the demand for cutting-edge semiconductor technology has reached unprecedented heights. Yole Group's latest "2026 Semiconductor Foundry Industry Outlook" clearly outlines this macro picture of change: AI demand is the core driving force, but it also exposes a structural imbalance between global fab capacity expansion and actual demand. This article will deeply analyze this industry transformation, interwoven by technological innovation, capital investment, and geopolitics, from multiple dimensions including the industry chain, technology roadmaps, competitive landscape, and regional impact, aiming to provide forward-looking strategic insights for chip enterprise management and investors.

Background: Structural Demand and Industry Context in the AI Era

1. Structural Drivers of Semiconductor Demand by AI Artificial intelligence has permeated edge applications and data centers and HPC, creating continuous and explosive demand for higher computing power chips. This has directly driven strong demand for AI chips (such as GPUs and ASICs), making AI and HPC sectors the main growth engines in the current semiconductor industry. The Open Foundry market reached \$181 billion in revenue in 2025, primarily driven by AI and HPC chips, indicating an accelerating trend in technology roadmaps towards more advanced processes.

2. Changes in Manufacturing Structure: Fabless Dominance and Foundry Monopoly The industry ecosystem is further evolving towards a model dominated by Fabless (fabless design companies). The positions of semiconductor equipment manufacturers (such as ASML, Applied Materials) and foundry service providers (such as TSMC) are becoming increasingly solidified, forming a competitive landscape centered on design-driven and manufacturing services. TSMC held about 32% of the global semiconductor manufacturing market share in 2025, demonstrating its absolute leading position in advanced process nodes.

3. Structural Imbalance Between Capacity and Demand Despite massive capital investment, the rate of capacity expansion in global fabs has exceeded the actual growth in demand for advanced process chips to some extent, leading to a global fab utilization rate of 73% in 2025. This mismatch between supply and demand structure is a structural challenge facing the industry and a key point for changes in future capital expenditure and market competitive landscapes.

In-depth Analysis: Technology, Supply Chain, and Competitive Landscape

Technology Impact: The Arms Race for Advanced Process and AI Chips The current focus is on the R&D and mass production capabilities of advanced process nodes like 2nm and 3nm.### Technology Impact: The Arms Race for Advanced Process and AI Chips The current focus is on the R&D and mass production capabilities of advanced processes like 2nm and 3nm. The demands of AI require extremely fast technological iteration speeds. The technological barrier is no longer just minor process improvements but encompasses the overall system integration capability, from lithography precision and material science to advanced packaging. Advanced Packaging has become key to solving heterogeneous integration and enhancing system performance, blurring the lines between chip design and system integration, making it the core battlefield for the next phase of competition.

Supply Chain Impact: Dynamic Reshaping of Each Link in the Industry Chain The semiconductor industry chain is undergoing a profound reorganization: * Upstream (Equipment and Materials): The R&D investment and technological barriers of equipment suppliers like ASML and Applied Materials are the cornerstone of maintaining competition in advanced processes. The stability and substitutability of materials are becoming new issues. * Midstream (Wafer Fabrication): Giants like TSMC and Samsung Foundry hold a core position due to their process node control and production capacity. Geopolitical considerations have made regional layouts (such as US-Taiwan, Europe-Japan) the mainstream strategy. * Downstream (AI/HPC Applications): Design companies like NVIDIA and AMD are the drivers of demand, and their high dependency on specific advanced nodes directly determines the tightness of the supply chain.

Competitive Landscape: Evolution of the Competitive Structure Future competition will no longer be purely about cost competition but a comprehensive game of technological leadership, supply chain resilience, and geopolitical compliance. The core competition for foundry manufacturers lies in whether they can maintain a technological lead at key nodes (like 2nm/3nm) while strategically allocating capacity to meet customer customization demands. For Fabless companies, choosing the right foundry partner and maintaining independent R&D autonomy is key to survival.

Industry Chain Analysis

Upstream: Strategic Position of Equipment and Materials Upstream enterprises (like ASML) hold the core technologies that determine the feasibility of advanced processes, and their monopoly is difficult to shake in the short term. However, the concentration in the procurement of materials and equipment also means that any fluctuation in the upstream segment can quickly cascade downstream. Geopolitical export controls on key materials are forcing companies to re-evaluate their global procurement and technological cooperation strategies.

Midstream: Capacity Competition of Foundry Giants The midstream is a concentration of capital and capacity. TSMC's leading position means that the "bottleneck" risk for customers is concentrated in its process nodes. Other foundries must seek a balance between localization and technological catching up to secure emerging AI orders.

Downstream: AI Applications and System Integration Downstream AI chip design companies are the source of demand, and their dependency on advanced nodes is the biggest risk point.### Downstream: AI Applications and System Integration Downstream AI chip design companies are the source of demand, and their reliance on advanced nodes is the biggest risk point. Advanced packaging technology will become the bridge connecting design and final product performance, determining the overall performance ceiling of AI systems.

Regional Implications: Geopolitics and Regional Layout

• The geographical distribution of semiconductor manufacturing is highly concentrated, but this concentration is being constantly challenged by geopolitical strategies:
• Mainland China: Continuously increasing strategic investment in domestic manufacturing, aiming to become a significant contributor to global wafer capacity, potentially accounting for 30% of global capacity before 2031. This reflects industry policies driven at the national level.
• United States: Focusing on technological sovereignty and self-reliance in key supply chains, guiding domestic foundries and R&D capabilities towards the AI field through subsidies and export controls.
• Asia (Taiwan, South Korea): Remain traditional leaders in advanced processes, but must navigate external trade friction and technology blockade risks while maintaining their technological advantages.
• Europe and Southeast Asia: Are seeking to diversify their layout in specific niches (such as certain materials or mature processes) through policy guidance to mitigate over-reliance on a single region.

Investment Perspective Capital market focus on the semiconductor industry has shifted from cyclical fluctuations to structural track positioning. Key focus areas include: 1. Sustainability of AI Infrastructure Investment: As long as AI demand does not decline, capital expenditure on AI chips like GPUs and ASICs will remain high. 2. Capacity Utilization of Advanced Manufacturing: Wafer fab utilization rate is an important indicator of the industry's structural health; the "marginal benefit" of capacity expansion needs careful assessment. 3. Certainty of Technological Roadmaps: Whoever achieves a breakthrough first on the 2nm/3nm nodes will gain the valuation premium in the next round.

In the long term, the growth logic of the semiconductor industry has shifted from "cyclical recovery" to "structural upgrading." The long-term demand driven by AI is irreversible, but realizing this demand requires overcoming technological thresholds and geopolitical risks. True value will concentrate in companies that can effectively manage technological risks, optimize supply chain resilience, and secure a favorable position in regional competition.

Future Outlook * Next 3 Years: Competition will concentrate on the mass production capabilities of advanced nodes and the commercialization of advanced packaging technology.## Future Outlook

• Next 3 Years: Competition will concentrate on the mass production capabilities of advanced processes and the commercialization of advanced packaging technology. The AI chip ecosystem will become further solidified, and innovation at the application layer will become a new growth point.
• Next 5 Years: Structural contradictions in capacity expansion will persist, but the concentrated demand from AI on specific nodes will create a new "demand-pull" effect, prompting continuous capital inflow into key links. Geopolitical risks will become a normalized operating cost.
• Next 10 Years: The semiconductor industry will enter an era of high differentiation and extremely high technical barriers. Successful enterprises will be those that can deeply embed AI algorithms into chip design while building highly decentralized and risk-resistant global supply chain networks.

Conclusion

The current semiconductor industry is in a period of structural reshaping driven by AI demand. AI chips are the undeniable growth engine, but the path to realizing this growth is not smooth. It requires companies to remain astute in their technological roadmap choices, achieve structural optimization in capacity planning, and build robust supply chain resilience in a complex global geopolitical environment. The most important industry judgment is: AI demand is a long-term certainty, but the competition to meet this demand will be a complex game determined by three factors: technical barriers in advanced processes, production scale, and geopolitical risks. Investors should focus on participants who can clearly outline the path to technological breakthroughs and possess the capability for global supply chain management.