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June 5, 2026
📚 Structural Analysis of LG Innotek's AI Substrate Shortage and Vietnam Expansion - 2026.06.05
Hello, this is Dotori, researching industrial analysis. According to systematic analysis, the macro paradigm of the AI manufacturing ecosystem is recently changing. The bottleneck in AI infrastructure investment, which was previously focused on securing GPUs, is gradually shifting to memory and packaging substrates [4]. Even for chips with the exact same performance, power consumption and data processing speed completely change depending on the packaging applied, so packaging has now established itself as a core element that maximizes chip performance rather than just a simple protective cover [8]. As a result, the demand for high-multilayer, large-area substrates is surging, and we have entered a phase of structural supply shortage [2]. Consequently, the securities industry predicts that the AI substrate industry will experience a supply shortage for at least two years, and has raised LG Innotek's target price to 2,000,000 KRW [10].
🏭 Macro AI Bottleneck Shift and Structural Reorganization of the Substrate Industry
From the perspective of recent major conferences and industry trends, as AI clusters become larger, data movement between chips and packaging complexity are emerging as key variables that determine overall performance [4]. To safely support high-end AI computing devices along with ultra-high-speed memory, top-tier substrates like FC-BGA are required as essential materials [8]. Therefore, global big tech companies are showing moves to preempt substrate production capacity through advance payments and long-term agreements (LTA) [9]. In this macro flow, the preemptive investment pursued by LG Innotek, which is recording a 100% utilization rate even in the second quarter, the biggest off-season for substrates, can be judged as a highly valid strategy to resolve the market bottleneck [2].
⚙️ Vietnam Hai Phong Expansion and Two-Track Production Strategy
LG Innotek signed a memorandum of understanding with Hai Phong City, Vietnam, on the 4th for an investment to expand its semiconductor substrate plant [3]. Construction will begin next month in July, with the goal of completion in May next year, and its size reaches about 330,000 square meters, equivalent to 45 football fields [1]. According to systematic analysis, this is not a simple expansion of production lines but a strategy to improve profitability through the dualization of production sites. It establishes a two-track structure where the domestic Gumi site serves as a mother factory dedicated to new technology development and high-value premium products, while the new Vietnam plant is utilized as a global mass production base for general-purpose semiconductor substrates [1]. Various advanced substrates such as RF-SiP for 5G and 6G communications, FC-CSP for on-device AI, and FC-BGA for high-performance AI chips will be mass-produced at the new Vietnam plant [1]. Through this, they plan to foster the package solution business revenue to over 3 trillion KRW by 2030 [3].
🔗 Physical AI Alliance and Value Chain Differential Benefits
Furthermore, as LG Group strengthens cooperation with Nvidia to build a physical AI ecosystem, LG Innotek is playing a key role by taking charge of precision sensing technology and camera modules for robots [5]. It is a structure where the capability of continuously supplying automotive cameras and sensing modules essential for Nvidia's autonomous driving platform expands into the robotics industry [6]. Recently, the volatility of the domestic stock market was high due to the overlap of CEO Jensen Huang's visit to Korea and disappointment in the earnings of US semiconductor stocks, and LG Innotek's stock price also showed a short-term breathing pattern, closing at 1,162,000 KRW, down 0.94% on the 5th [7].
Starting from the industrial big picture, organizing the value chain differential benefits into 1st, 2nd, and 3rd priorities, the following approach is valid.
- 1st Priority: Core manufacturers that will resolve the structural supply shortage of high-multilayer substrates (FC-BGA) for AI servers. LG Innotek's packaging solution business, which is expected to run at full capacity immediately after expansion based on investment support from big tech clients, falls into this category [2].
- 2nd Priority: The supply chain of precision sensors and high-performance camera modules, whose installation volume is structurally increasing due to the advancement of physical AI and autonomous driving technologies [6].
- 3rd Priority: Backward ecosystem materials, parts, and equipment companies that supply laser dicing equipment, substrate inspection equipment, and solder balls, which are essential for advanced packaging processes [8].
Dotori views that the increasing complexity of AI computing infrastructure will inevitably lead to an explosive demand for high-performance substrates, and LG Innotek's bold expansion and two-track strategy will act as a strong structural catalyst that enhances the long-term earnings visibility of its packaging solution sector.
📰 Reference News (10)
[Industry/Tech] LG Innotek to Build New Semiconductor Substrate Plant the Size of '45 Football Fields' in Haiphong, Vietnam - Good Morning Vietnam Media
굿모닝베트남미디어 · 2026.06.05
📰 View original"LG Innotek, Structural Shortage of AI Substrates... Target Price Raised to 2 Million Won" - KB
네이버뉴스 · 2026.06.05
📰 View originalLG Innotek Invests in Vietnam Semiconductor Substrate Plant Expansion... Accelerating Package Business Following Optics - Electimes
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📰 View originalBig Tech's Love Calls Pour In: "We'll Pay Advances, Just Expand Semiconductor Substrate Plants"
네이버뉴스 · 2026.06.05
📰 View originalKB Securities: "LG Innotek Target Price Raised... AI Substrates in Short Supply for at Least 2 Years"
네이버뉴스 · 2026.06.05
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