Asia’s AI Semiconductor Supply Chain: TSMC, Samsung and China’s Chip Strategy

Why Does Asia Control the World’s AI Chip Supply Chain?

Asia dominates the physical infrastructure layer of global artificial intelligence. Taiwan’s TSMC held 72.5% of global top-10 foundry revenue in the second quarter of 2026 (TrendForce, September 2026). South Korea’s SK Hynix and Samsung together control approximately 83% of the high-bandwidth memory (HBM) market^[1] (Counterpoint, Q2 2026) that powers AI training and inference. China dominates 67% of edge AI chip manufacturing. These three concentration points — one island, two Korean conglomerates, one country — represent the most geopolitically significant supply chain bottleneck in the technology industry.

Goldman Sachs projects that hyperscalers will invest over USD 500 billion in AI infrastructure in 2026,^[2] nearly all of which depends on chips fabricated in Asia. The fragility of this supply chain was exposed by the global semiconductor shortage of 2020–2023, and the stakes have only grown as AI workloads accelerate demand for advanced chips. Asia-Pacific’s data centre development pipeline reached a record 26.5 GW in the first half of 2026, with 4.8 GW under construction and 21.7 GW planned^[3] (Cushman & Wakefield, August 2026).

How Dominant Is TSMC in AI Chip Manufacturing?

Taiwan Semiconductor Manufacturing Company (TSMC) is the world’s indispensable AI chipmaker. The company’s 72.5% share of global top-10 foundry revenue (TrendForce, Q2 2026) means that virtually every major AI chip — including Nvidia’s GPUs, Apple’s processors, AMD’s accelerators, and most AI ASIC designs — is manufactured on TSMC’s fabrication lines. No other company can produce these chips at comparable scale or yield.

TSMC’s 2025 revenue reflects this dominance, with AI-related chip orders driving record growth. The company’s investment in advanced packaging technologies (CoWoS, InFO) has created additional moats: these packaging methods are essential for combining multiple chiplets into the large, powerful processors that AI training requires, and TSMC’s capacity in advanced packaging exceeds all competitors combined.

The concentration of critical AI infrastructure on a single island with significant geopolitical risk has prompted diversification efforts. TSMC is building fabrication facilities in Arizona (USA), Kumamoto (Japan), and Dresden (Germany). However, these diversification fabs will not operate at commercial frontier-node scale before 2028–2030 at the earliest. For the remainder of this decade, Taiwan remains the world’s chokepoint for advanced AI chips.

What Role Does South Korea Play in AI Hardware?

South Korea’s contribution to the AI hardware stack centres on high-bandwidth memory (HBM) — the specialized memory chips that sit alongside GPUs to feed data at the speeds AI workloads require. SK Hynix pioneered HBM technology. It held about 50% of HBM revenue in Q2 2026 and Samsung about 33%, with Micron on 18%^[1] (Counterpoint), so the two Korean makers together hold roughly 83%.^[1]

Samsung Electronics sits at the intersection of every layer of the AI stack: the chips that power AI infrastructure, the devices that deliver on-device AI to 400 million-plus users globally, and the foundation models that bridge them. Samsung’s FY 2025 revenue reached KRW 333.6 trillion (approximately USD 230 billion),^[4] with R&D spending of KRW 37.7 trillion (approximately USD 26 billion).^[4] Samsung’s HBM4 product, featuring 11.7 Gbps performance,^[4] positions the company for a memory market share recovery.

Samsung’s AI Megafactory initiative, announced in October 2025, represents one of the most ambitious industrial AI deployments globally: an AI-enabled semiconductor plant deploying 50,000-plus Nvidia GPUs^[5] with Nvidia Omniverse digital twins across every fabrication component. Early tests showed a 20x improvement in computational lithography performance.^[5] Galaxy AI, running on 400 million-plus Samsung devices,^[6] powers Live Translate, Circle to Search, and intelligent summarisation features.

How Is China Building an Alternative AI Chip Supply Chain?

US semiconductor export controls, implemented in October 2022 and tightened in October 2023, have demonstrably constrained Chinese AI hardware access while simultaneously accelerating domestic chip development. Huawei’s Ascend 910C processor has emerged as China’s primary domestic alternative to Nvidia GPUs, and approximately 65% of AI chips used in China are now sourced domestically.

China’s intelligent computing power reached 788 EFLOPS and the country had 10.85 million standard racks in operation by the end of June 2025^[7] (MIIT). The country dominates edge AI chip manufacturing, accounting for 67% of global production, with companies like MediaTek and domestic fabs supplying chips for smartphones, IoT devices, and industrial applications. Taiwan’s Advantech holds 34% of the global industrial PC market, while MediaTek dominates smartphone AI chips with 37% market share.

The export control dynamic has created what analysts describe as a bifurcated global AI ecosystem: the US and China developing parallel AI stacks with limited interoperability. ASEAN AI economies face the strategic challenge of navigating between these two ecosystems — needing access to both US and Chinese AI technology while avoiding becoming “permanent renters” of either infrastructure stack.

Read the full AI in Asia 2026 report — market data, country analysis, company profiles, investment landscape, and 2026–2030 outlook → digitalinasia.com/reports

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Data sourced from the Digital in Asia “AI in Asia 2026” report. Last updated: March 2026.

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