Jensen Huang’s Visit to South Korea (Part 1): The Inception of the AI Infrastructure War

Let's learn more about Nvidia CEO Jensen Huang's visit to South Korea

— The Realignment of the Semiconductor Supply Chain (Upstream) — In June 2026, NVIDIA CEO Jensen Huang’s visit to South Korea carries significance that goes far beyond a typical corporate itinerary. From meeting Faker and appearing on You Quiz on the Block to throwing the ceremonial first pitch at a baseball game and hosting casual "Somaek" (somaek-and-fried-chicken) gatherings, his celebrity-like movements have consistently made headlines. However, this is not mere fan service; it is a meticulously calculated component of his "pro-Korea corporate marketing." It serves as clear evidence that the status and importance of South Korean companies in the global semiconductor supply chain remain irreplaceable. Immediately prior to his arrival in Korea, Huang attended COMPUTEX 2026 in Taiwan, where he unveiled NVIDIA's next-generation AI strategy and audited core supply chains, including TSMC. Synthesizing these recent developments brings a singular, critical agenda to the forefront: "The Realignment of the Global Supply Chain in Preparation for the AI Infrastructure Era." This article focuses specifically on the upstream segment (raw materials and front-end manufacturing processes) of the semiconductor supply chain—the bedrock of AI infrastructure —to provide a fact-based analysis of the multifaceted opportunities involving NVIDIA, South Korean enterprises, and the broader global supply chain, including China and India. 1. The Message from Taiwan: “AI is Becoming an Infrastructure Industry” During his Computex keynote, Jensen Huang moved past standard product announcements to clearly define the structural shifts occurring within the AI industry. Agentic AI (Self-Executing AI): The evolution of AI from a tool that merely answers questions to an autonomous ecosystem that makes decisions and executes objectives independently without human intervention. Unveiling the Next-Gen "Rubin" Platform: By introducing the Rubin architecture—the successor to Blackwell—NVIDIA signaled that the generational replacement cycle for AI infrastructure is accelerating. The Concept of the “AI Factory”: A paradigm shift that views AI not as a mere software tool, but as a "manufacturing infrastructure" that treats data as a raw material to pump out value. ◆ Components of an AI Factory AI Factory Component Traditional Manufacturing Equivalent Practical Role GPU(Graphics Processing Unit) Production Equipment (Machinery) The core hardware that generates value (computation). Data Center Factory (Infrastructure) The physical space where equipment operates and receives power. AI Model Final Product The output generated through factory operations. This shift demonstrates that the core of AI competition has migrated from a software race of "designing better models" to a physical infrastructure supply chain race of "who can physically secure overwhelming computational capacity." 2. Where the True Bottlenecks Lie: “Packaging, Memory, and Talent” Currently, the AI semiconductor supply chain is highly centralized. Design is driven by NVIDIA (USA), foundry and advanced packaging are handled by TSMC (Taiwan), and core memory is supplied by South Korean HBM manufacturers. Within this loop, three primary bottlenecks currently restrict actual market supply: ① The Limits of CoWoS (Chip on Wafer on Substrate) Packaging Concept: TSMC’s proprietary, advanced 2.5D back-end packaging technology that precisely processes and integrates chips and High Bandwidth Memory onto a fine substrate. Reality: As physical scaling reaches its limits in front-end processes, the importance of back-end packaging has skyrocketed. However, TSMC’s CoWoS capacity is already fully booked by major tech clients through long-term contracts. Securing this capacity has become synonymous with market dominance. ② HBM(High Bandwidth Memory) An indispensable AI memory technology that stacks DRAM vertically to maximize data transfer speeds. To overcome the physical limits of hardware, close-knit collaboration with South Korea’s two memory giants is no longer optional—it is a baseline requirement. ③ The Invisible Variable: Human Skill While semiconductor manufacturing is shifting heavily toward advanced robotics and automation, the experience and skill level of on-site engineers have paradoxically become more critical than ever. Minimizing errors, boosting early-stage yields in sub-micro processes, and maintaining extreme precision in complex packaging ultimately depend on human institutional knowledge rather than the machinery itself. Leading global fabs are currently grappling with a shared obstacle: a severe shortage of highly skilled technicians to support equipment operations. 3. The Meaning Behind the Korea Visit: Structural Locking and 'Lock-in' Strategies Jensen Huang’s visit to South Korea immediately following his trip to Taiwan cannot be interpreted merely as a routine procurement business trip for HBM. Institutionalizing Alliances: NVIDIA must actively counter big tech companies attempting to develop their own custom chips (ASICs) as well as competitors looking to diversify their supply chains through AMD. During this visit, NVIDIA formalized a long-term technical partnership with SK Hynix—including the joint development of next-generation memory for the upcoming "Rubin" platform —effectively making a preemptive move to neutralize the growth of alternative ecosystems. ◆ The Three Pillars of the 'Lock-in' Strategy Pillar Anticipated Effect of Integration Hardware(GPU) Establishes the global standard for overwhelming hardware computational performance. Software(CUDA) Captures and binds developers to an ecosystem where software only runs seamlessly on NVIDIA silicon. Supply Chain (TSMC + Korea) Preemptively locks down Taiwanese foundries and Korean HBM, blocking the entry of competitors. NVIDIA is packaging these three pillars to construct a massive moat, finalizing a structural "customer lock-in" strategy. Furthermore, Huang’s visit to the NAVER headquarters during this trip—where he declared intentions to build a massive AI cloud infrastructure across Korea and the globe —is a direct extension of this strategy, aiming to graft the NVIDIA ecosystem deeply into the service infrastructure layer. 4. The Dual Structure of the Global Supply Chain: Advanced vs. Legacy Nodes Driven by geopolitical friction between the US and China, the global semiconductor market is polarizing into a distinct dual-structure system. ◆ Upstream Structure of Global Semiconductors Category ▲ Advanced AI Infrastructure (High-End) ▼ Legacy Node Domain (Mature/General) Global Axis Centered on NVIDIA, TSMC, and South Korea Mass production systems centered on China Core Technology/Process Ultra-fine processes (under 3nm) and HBM Mature processes (28nm and above) Target Market/Products High-value-add, high-end markets Automotive, power chips, industrial sensors ▶ China's Dominance in Legacy Nodes and the Reality Faced with US restrictions on advanced equipment, China focused its investments heavily on legacy nodes (28nm and above). As a result, China has rapidly expanded its market share in the ubiquitous general-purpose chips used globally in automobiles, home appliances, and power control devices. Even as efforts intensify to exclude China from advanced chip supply chains, global enterprises find it difficult to fully decoupled due to their reliance on these essential legacy components, creating a system of deep mutual interdependence. ▶ The Rise of India: Potential and Constraints as an Alternative Supply Chain Leveraging subsidies from the India Semiconductor Mission (ISM) , India is aggressively courting global OSAT (Outsourced Semiconductor Assembly and Test) facilities and legacy fabs . For companies pursuing a "China+1" strategy, India represents a highly compelling alternative. However, due to structural challenges in utility stability (such as power and water supply) and an incomplete domestic supporting ecosystem, it is realistic to view India as a mid-to-long-term supply chain diversification variable rather than an immediate game-changer. 5. South Korea’s Position and Practical Strategic Direction: Selective Expansion and Niche Markets Within this dual structure, the South Korean semiconductor industry holds distinct competitive strengths alongside pronounced risks. Position Within the Supply Chain by Region Region Advanced AI(HBM, etc.) Legacy Semiconductors China Restricted by equipment and technology constraints Dominates global mass-production capacity South Korea Possesses world-class, top-tier technical supremacy Participates selectively based on profitability India Limited to initial infrastructure stages Growing rapidly driven by government incentives ♣ Scalability via Adjacent Industries: Physical AI and Megacorp Alliances The market is poised to expand beyond advanced data centers into "Physical AI"—autonomous systems that compute and operate directly in the field, such as robotics, autonomous vehicles, and smart factories. This explains why Jensen Huang held sequential meetings during his visit with Hyundai Motor Group Executive Chair Euisun Chung, alongside the heads of other major Korean manufacturing and robotics conglomerates like Doosan and LG. South Korea is not merely a chip manufacturing base; it is the most robust physical infrastructure partner capable of integrating with NVIDIA's next-generation robotics computing platforms and agentic robot OS. ♣ Niche Market Opportunities for SMEs and Startups Beyond the high-profile alliances of mega-conglomerates, distinct opportunities are emerging for South Korean small-and-medium enterprises (SMEs) and specialized firms as the broader ecosystem diversifies: Design Houses: As big tech firms ramp up custom ASIC designs to lower their dependency on NVIDIA, demand is surging for specialized design houses that optimize these designs for foundry manufacturing. Specialized IP (Intellectual Property): The market window is widening for niche fabless firms holding proprietary design blocks that mitigate data bottlenecks or lower power consumption within AI accelerators. High-Value Niche Preemption: Korean firms should bypass high-volume price wars in the legacy chip space dominated by China, focusing instead on occupying high-performance automotive and industrial specialized semiconductor niches tailored for AI accelerators. Preempting India's Legacy and OSAT Markets: India is heavily funding back-end packaging plant localization via the India Semiconductor Mission (ISM) , offering aggressive subsidies of up to 75% of CAPEX (combined central and state incentives). Recent moves—such as a South Korean specialized OSAT firm (e.g., AFACO) becoming the first Korean company to receive official approval from the Indian government to establish a local Joint Venture (JV) , alongside domestic semiconductor equipment delegations scouting partnerships with Indian conglomerates like Tata Group—validate this trend. For Korean SMEs, targeting India's immediate demand for mobile, appliance, and automotive legacy packaging technologies, test equipment, and components is far more viable than capital-intensive front-end fabs. Utilizing Indian Engineering Talent for R&D Niches: With South Korea's domestic semiconductor engineering talent shortage intensifying, leveraging India's vast engineering talent pool—which accounts for 20% of the world's semiconductor design workforce—presents a highly practical solution. South Korean fabless firms and design houses can establish local R&D hubs in India to secure talent, combining technical consulting or in-kind contributions with Indian manufacturing entities via JVs. Closing Thoughts Jensen Huang’s visit to South Korea signals a fundamental inflection point, illustrating that the global semiconductor landscape is cementing into a dual structure split between high-end advanced infrastructure and legacy supply chains. The future supply chain is unlikely to result in total monopoly or complete exclusion by any single bloc; rather, it will diversify dynamically based on geopolitical alignments and technical bottlenecks. South Korea must maintain its hyper-gap leadership in advanced technologies while capitalizing on its highly skilled workforce to capture high-value niche markets connected to Physical AI. Navigating this vast realignment requires a flexible, risk-mitigating supply chain strategy. In this context, India is swiftly transforming into a legacy and OSAT hub backed by aggressive state incentives and a massive tech talent pool. This presents a blue ocean opportunity not just for Korean conglomerates, but also for agile component, equipment, and packaging SMEs looking for viable alternatives to China. The imperative now for Korean tech firms is twofold: fortify existing elite partnerships while intelligently integrating India into their broader global frameworks as both a risk-diversification hedge and a launchpad for legacy market expansion.