Kolon Industries on Korea Invest Insights

Korea AI PCB Ecosystem: 10 Companies Across FC-BGA, CCL, SoCAMM, Materials and Equipment

Tue, 05 May 2026 23:55:00 +0900

Sector map: This is the company-matrix companion to the AI PCB and Substrate Thesis and the AI PCB and Substrate Hub. The earlier thesis explained why AI substrates are a system-level bottleneck. This note asks which parts of the Korean ecosystem carry the better business quality, and where the factor setup still looks less fully priced.

TL;DR

The strongest accounting signal in Korea’s AI PCB ecosystem is not always inside the board manufacturers. It is upstream. Doosan Electronic BG’s high-end CCL business is running at roughly a 30% operating-margin profile, and Pamicell’s low-dielectric materials profile also sits around the 30% zone. Most board manufacturers sit closer to the mid-teens to low-20s. When margins cluster like that, the market is telling us where pricing power is concentrated: the shortage is partly in substrates, but the tighter bottleneck may be in CCL and low-loss materials.

Business quality and factor attractiveness are not the same ranking. A simple business-quality stack would put Doosan Electronic BG near the top, followed by Samsung Electro-Mechanics, Kolon Industries’ mPPO option, Isu Petasys, Daeduck Electronics and Pamicell. A price-aware factor stack looks different: Daeduck Electronics screens better because it has FC-BGA plus MLB exposure at a less demanding multiple; Kolon Industries is interesting because the mPPO option is diluted inside a low-multiple chemical and industrial-materials company; Pamicell offers upstream leverage but carries customer-concentration risk; Doosan has the best business, but the public-market access route is Doosan the holding company.

Doosan Electronic BG is the best business in the map, but not automatically the cleanest stock setup. Investors do not buy a separately listed Electronic BG. They buy Doosan, which includes other subsidiaries and holding-company complexity. The business may be excellent; the access route may already be expensive.

Kolon Industries is the most interesting dilution case. mPPO sales are estimated to move from roughly ₩20bn in 2024 to ₩80bn in 2025 and about ₩180bn by 2027. Yet this sits inside a company with roughly ₩5tn revenue and a single-digit enterprise multiple profile. A sell-side SOTP view can value the mPPO option near ₩1.5tn, while the whole market cap has been around the ₩2.5tn to ₩2.9tn range. The core issue is not whether mPPO matters. It is whether the market can see it through the rest of the company.

Taesung belongs in the ecosystem but not in the same valuation table. With 2025 revenue around ₩38bn, operating losses and a market cap around the multi-trillion-won zone, its price is not earnings-driven. It is an option on PCB capex and glass-substrate equipment. That can be valuable, but it must be held in a separate option basket, not compared one-for-one with profitable substrate and materials names.

My working portfolio lens is not a buy list. It is a factor map: Daeduck Electronics as the balanced core substrate factor; Kolon Industries and Pamicell as the upstream-materials barbell; Korea Circuit as an option; Doosan as a high-quality CCL anchor that requires entry discipline; Samsung Electro-Mechanics, Isu Petasys and Simmtech as higher-recognition names where valuation and pullback discipline matter; TLB as the SoCAMM-specific factor; Taesung as a separate equipment-option basket.

1. From A Manufacturer Screen To An Ecosystem Map

A narrow AI substrate screen usually starts with the board manufacturers: Samsung Electro-Mechanics, Isu Petasys, Daeduck Electronics, Simmtech and Korea Circuit. That is a useful starting point, but it is incomplete.

AI infrastructure does not stop at the board house. Advanced boards require high-end CCL, low-loss resin, glass fiber, copper foil, ABF-like inputs, module boards and the equipment that enables substrate capacity. Once the upstream layer is added, the map becomes more revealing.

AI infrastructure capex
 -> GPU / ASIC / CPU / switch ASIC demand
 -> package substrates, MLB, memory modules, SoCAMM
 -> CCL, low-dielectric resin, mPPO, hardeners, glass fiber, copper foil
 -> PCB and glass-substrate equipment

The ten-company ecosystem looks like this:

Layer	Companies	What they represent
Package substrate / FC-BGA	Samsung Electro-Mechanics, Daeduck Electronics, Korea Circuit	AI accelerator, CPU and ASIC package substrates
MLB / network boards	Isu Petasys, Daeduck Electronics, Simmtech, Korea Circuit	Server boards, switch boards, high-layer MLB
Memory module / SoCAMM	TLB, Simmtech, Korea Circuit, Daeduck Electronics	DDR5 and LPDDR-based server memory modules
CCL anchor	Doosan Electronic BG inside Doosan	High-end copper-clad laminate for AI accelerators and high-speed networking
Low-dielectric materials	Kolon Industries, Pamicell	mPPO, low-loss resin, hardeners and upstream inputs
Equipment	Taesung	PCB equipment and glass-substrate optionality

This is why a simple “AI PCB beneficiary” label is not enough. The ecosystem contains different margin structures, qualification risks, customer concentration risks and valuation regimes.

2. The Key Accounting Clue: Margins Are Higher Upstream

The most important observation is the margin gap.

Category	Company / segment	Working 2027E OPM profile
Upstream CCL	Doosan Electronic BG	~31%
Upstream low-dielectric materials	Pamicell	30%+ profile in recent / sell-side frames
MLB pure-play	Isu Petasys	~22%
Balanced substrate	Daeduck Electronics	~19%
Module substrate	TLB	~16%
Memory substrate	Simmtech	~14%
FC-BGA + MLCC large cap	Samsung Electro-Mechanics	~14%
FC-BGA option	Korea Circuit	high-single-digit to low-teens path
Diluted materials option	Kolon Industries	low-single-digit consolidated OPM, because mPPO is diluted

The margin message is simple: where pricing power is strongest, operating margin tends to show it first. If Doosan Electronic BG and Pamicell sit near 30% while many board makers sit in the 14% to 22% zone, the shortage is not just “boards are scarce.” It is also that the materials stack enabling those boards has pricing power.

This does not mean board makers are unattractive. It means the ecosystem must be separated into two questions:

Question 1: Which businesses have the highest quality and pricing power?
Question 2: Which public stocks still offer the best factor setup after price?

Those two answers are not the same.

3. The Ten-Company Working Matrix

The table below is a working matrix using May 4-5, 2026 price references and sell-side estimate sets where available. It is not a real-time quote sheet. Several lines use segment estimates or company-specific model work rather than standardized consensus.

Company	Reference price / market cap	2027E revenue	2027E OP	2027E OPM	2027E PER	OP growth 26 -> 27
Samsung Electro-Mechanics	~₩68.6tn market cap in the working sheet	₩13.83tn	₩1.94tn	14.0%	46.5x	+26.2%
Isu Petasys	~₩10.94tn	₩2.13tn	₩462bn	21.7%	29.7x	+44.4%
Daeduck Electronics	~₩5.65tn	₩1.88tn	₩363bn	19.3%	19.5x	+48.8%
Simmtech	~₩3.25tn	₩2.07tn	₩284bn	13.7%	18.5x	+70.1%
Korea Circuit	~₩2.19tn	₩2.20tn	₩190bn	8.6%	15.4x	+40.7%
Doosan Electronic BG via Doosan	~₩27.6tn Doosan market cap	₩3.44tn segment revenue	₩1.08tn segment OP	31.3%	20.9x Doosan-level frame	+41.8%
TLB	~₩0.89tn	₩415bn	₩65bn	15.6%	21.7x	+38.8%
Kolon Industries	~₩2.5tn to ₩2.9tn market cap range	₩5.18tn consolidated	₩241bn	4.7%	9.7x	+17.6%
Pamicell	~₩1.2tn market cap range	standardized consensus limited	–	30%+ margin profile	–	–
Taesung	~multi-trillion-won option valuation	consensus limited	loss / early-stage option frame	–	not meaningful	–

Several caveats matter. Doosan Electronic BG is a segment inside Doosan, not a separately listed company. Kolon Industries’ consolidated OPM understates the economics of the mPPO line because the option is diluted inside a much larger chemical and industrial-materials company. Taesung’s valuation is not an earnings multiple; it is an equipment-option price.

The arithmetic behind selected rows:

Doosan Electronic BG 2027E OPM = 1.076tn / 3.441tn = 31.3%
Doosan Electronic BG OP growth = 1.076tn / 0.759tn - 1 = 41.8%

TLB 2027E OPM = 64.8bn / 415.4bn = 15.6%
TLB OP growth = 64.8bn / 46.7bn - 1 = 38.8%

Kolon Industries consolidated OPM = 241.0bn / 5.18tn = 4.7%

4. GARP Re-Ranking

I use a simple GARP score as a sorting tool:

GARP score = operating-profit growth x operating margin / PER

This is not a valuation model. It is a way to keep growth, margin and price in the same frame.

Company / segment	OP growth	OPM	PER	GARP score
Doosan Electronic BG via Doosan	+41.8%	31.3%	20.9x	62.6
Simmtech	+70.1%	13.7%	18.5x	51.9
Daeduck Electronics	+48.8%	19.3%	19.5x	48.3
Isu Petasys	+44.4%	21.7%	29.7x	32.4
TLB	+38.8%	15.6%	21.7x	27.9
Korea Circuit	+40.7%	8.6%	15.4x	22.7
Kolon Industries consolidated	+17.6%	4.7%	9.7x	8.5
Samsung Electro-Mechanics	+26.2%	14.0%	46.5x	7.9

The GARP table says three useful things.

First, Doosan Electronic BG screens extremely well as a business. High growth plus a 31% operating-margin profile is rare.

Second, Daeduck Electronics remains the most balanced substrate-factor setup among the board manufacturers because it combines FC-BGA, MLB and a still-reasonable valuation frame.

Third, Kolon Industries looks weak on consolidated GARP precisely because mPPO is diluted. That is not a reason to ignore it. It is the reason to analyze it separately.

5. Doosan Electronic BG: Best Business, Imperfect Access Route

Doosan Electronic BG is the cleanest business-quality leader in the map. Public reports around Doosan’s 1Q26 results show Doosan’s own business revenue rising sharply, with Electronics BG strength driven by high-end CCL for AI accelerators, memory semiconductors and high-speed systems.

This is the business-quality case:

Point	Why it matters
OPM around 30%	Pricing power is concentrated in high-end CCL
AI accelerator and networking exposure	CCL content rises with GPU, CPU, switch ASIC and high-speed board complexity
Capacity expansion	Suggests management sees a multi-year cycle rather than one strong quarter
Customer qualification	High-end CCL is not a commodity slot once qualified into the AI supply chain

But the public-market access route is not pure. Investors buy Doosan, not separately listed Doosan Electronic BG. Doosan includes Electronics BG, Doosan Bobcat, Doosan Enerbility exposure, other self-business pieces and holding-company discount or premium dynamics.

That is the whole reason business quality and stock setup diverge. The business itself can be first-rate while the stock entry point is less clean.

What a Doosan share includes:
 - Electronics BG economics inside the holding company
 - Other affiliate values
 - Holding-company structure
 - Non-CCL volatility

What it does not give:
 - A pure listed CCL instrument
 - Direct 100% exposure to Electronics BG margin
 - Isolation from other subsidiary volatility

So Doosan Electronic BG is the benchmark for business quality. Doosan the stock needs price and holding-company discipline.

6. Kolon Industries: The mPPO Dilution Case

Kolon Industries is a different kind of opportunity. The interesting part is not consolidated operating margin. The interesting part is that mPPO can be material while still hidden.

The mPPO revenue path in the working sheet:

Item	2024	2025	2026F	2027F
mPPO revenue	~₩20bn	~₩80bn	~₩130bn	~₩180bn

A DS-style SOTP view can assign about ₩1.5tn of value to the mPPO option by applying a high multiple to estimated 2027 EBITDA. That is meaningful versus a total market-cap range around ₩2.5tn to ₩2.9tn.

The dilution mechanism is straightforward:

Kolon Industries consolidated:
 - revenue around ₩5tn
 - operating margin around mid-single digits
 - market sees a chemical / industrial-materials company

mPPO line:
 - much smaller revenue base
 - faster growth
 - higher implied margin
 - tied to high-end CCL and low-dielectric material demand

Result:
 - the consolidated multiple stays low
 - the option is visible to analysts but not fully separated by the market

If mPPO reaches about ₩180bn revenue in 2027 and around ₩59bn EBITDA, its standalone economics look nothing like a low-single-digit-margin commodity chemical business. The analytical question is whether the market begins to value Kolon as two businesses: a mature industrial-materials core plus a fast-growing mPPO option.

There are two ways for that to happen. The first is accounting visibility: more frequent IR disclosure, clearer segment commentary and sell-side SOTP models. The second is structural separation, which would require company action and should not be assumed. The more realistic path is accounting visibility.

7. Pamicell: Upstream Of The Upstream

Pamicell deserves a separate company-level treatment; this ecosystem note keeps the lens narrower: where does it sit inside the ten-company map, and why does that position matter for the broader AI CCL chain?

It is upstream of Doosan Electronic BG’s CCL.

Pamicell low-dielectric resin / hardeners
 -> Doosan Electronic BG high-end CCL
 -> FC-BGA / MLB / AI server boards
 -> AI accelerator, CPU, NIC and switch systems

That position creates both the upside and the discount.

The upside is operating leverage. If a small upstream supplier becomes qualified into a high-margin CCL cycle, incremental orders can move the income statement quickly. Pamicell’s 2025 operating margin was around 30%, and sell-side 2026 frames have discussed margins in the mid-30s.

The discount is customer concentration. Pamicell is not a broad board manufacturer. It is not Doosan Electronic BG. It depends on the order cadence, qualification status and sourcing decisions of a narrow upstream materials chain.

The key follow-up variables are the same ones from the Pamicell work:

Variable	Why it matters
1Q26 operating profit and margin	Confirms whether high-margin materials are flowing into reported earnings
Follow-on Doosan contracts in May-June	Tests whether the February contract was a new run-rate or timing pull-forward
Third Ulsan plant progress	Determines whether 2027 capacity can support the thesis
KRX reclassification after May 4	Tests whether market perception is moving from biotech to electronics materials

Pamicell is one of the sharper expressions of the upstream thesis, but it must be sized and analyzed as a customer-concentration story.

8. TLB: The SoCAMM-Specific Factor

TLB deserves a separate slot because its factor exposure is different. It is closest to a SoCAMM and server memory-module board angle.

TLB working 2027E:
 revenue: ₩415bn
 operating profit: ₩65bn
 OPM: 15.6%
 PER: 21.7x
 GARP: 27.9

SoCAMM matters because LPDDR-based server memory modules can become part of the next-generation CPU and AI inference memory stack. The more CPU-heavy agentic AI becomes, the more interesting the memory-module board layer becomes.

But SoCAMM is still a factor, not a fully proven revenue base. Vera CPU adoption, OEM design wins and the final module-standard path all matter. That makes TLB cleaner than many diversified PCB names for the SoCAMM angle, but also more dependent on one thesis becoming real.

The practical map:

SoCAMM purity:
 1. TLB
 2. Simmtech
 3. Korea Circuit
 4. Daeduck Electronics

TLB is not the highest-quality company in the ecosystem, but it is a useful single-factor monitor for SoCAMM.

9. Taesung: Do Not Put It In The Same Table

Taesung belongs in the AI substrate ecosystem because equipment matters. If substrate makers expand capacity, equipment suppliers can benefit. If glass substrates become a real production path, specialized equipment can gain option value.

But Taesung should not be ranked like the other nine names.

The reason is valuation structure. The working numbers point to a company with 2025 revenue around ₩38bn, operating losses and a multi-trillion-won market cap. That implies a price-to-sales ratio in the dozens, closer to an option valuation than a normal earnings stock.

Taesung 2025 working frame:
 revenue: \~₩38bn
 operating profit: negative
 market cap: multi-trillion-won zone
 PSR: roughly 60x+

That is not automatically wrong. Options can be valuable. But the analysis method changes.

Taesung driver	What to monitor
PCB equipment cycle	Large orders from substrate capacity expansion
Glass substrate option	Evidence of pilot-to-mass-production transition
Consensus formation	Whether 2026-2027 earnings estimates become real enough to underwrite

Until those variables mature, Taesung belongs in a separate option basket, not a GARP table beside Doosan Electronic BG or Daeduck Electronics.

10. Business Quality Versus Factor Attractiveness

This is the most important conclusion.

Business quality ranking:

1. Doosan Electronic BG
2. Samsung Electro-Mechanics
3. Kolon Industries mPPO, if separated
4. Isu Petasys
5. Daeduck Electronics
6. Pamicell

Price-aware factor attractiveness:

1. Daeduck Electronics
2. Kolon Industries
3. Korea Circuit
4. Pamicell
5. Doosan
6. TLB
7. Isu Petasys
8. Simmtech
9. Samsung Electro-Mechanics
10. Taesung, separate option basket

The point is not that the second list is a trading recommendation. It is a reminder that good businesses and good factor setups are different things.

Good business -> market recognizes quality -> price rises -> incremental alpha shrinks
Hidden or complex business -> market discounts the story -> price lags -> alpha can remain

Doosan Electronic BG is excellent, but the stock route is a holding company. Samsung Electro-Mechanics is excellent, but the market has already recognized a lot of it. Daeduck is less pure, but has balanced FC-BGA and MLB exposure at a less demanding multiple. Kolon Industries looks cheap because mPPO is hidden inside a larger company. Pamicell still carries the old biotech label in some investors’ minds, even though its materials economics have changed.

Alpha rarely comes from the highest-quality business after everyone agrees it is high quality. It more often comes from the place where the market has not yet cleanly separated the valuable part from the rest.

11. What Could Be Wrong

Several parts of this framework can fail.

Doosan Electronic BG’s 30% margin could be a peak-cycle outcome rather than a structural margin. If CCL capacity catches up quickly, the margin signal weakens.

Kolon Industries’ mPPO revenue path could lag. If the line moves slower than the ₩130bn to ₩180bn path, the dilution discount may be justified.

Doosan’s holding-company structure could remain a permanent discount. A great segment does not always create full value for minority shareholders if the access route is complex.

Taesung’s glass-substrate option could remain an option and never convert into revenue. In that case, the option multiple normalizes.

Pamicell’s customer concentration could become the wrong kind of leverage. If follow-on contracts slow, the small-base upside works in reverse.

The framework is useful only if the quarterly data keeps validating it.

12. Verification Checklist

Layer	Company	Signals to track
CCL anchor	Doosan / Electronic BG	Electronics BG OPM near 30%, CCL capacity expansion, customer diversification
mPPO	Kolon Industries	mPPO revenue path, separate IR commentary, SOTP adoption by sell-side
Upstream materials	Pamicell	1Q26 margin, follow-on Doosan contracts, third-plant progress
Balanced substrate	Daeduck Electronics	FC-BGA customer wins, MLB capacity, server-grade product mix
MLB	Isu Petasys	800G / 1.6T demand, pricing pass-through, OPM durability
Premium anchor	Samsung Electro-Mechanics	AI data-center package substrate wins, MLCC price / mix, estimate revisions
Memory substrate	Simmtech	SoCAMM revenue, 2026 OPM recovery
Option substrate	Korea Circuit	Broadcom-linked FC-BGA revenue, SoCAMM ramp, consolidated margin
SoCAMM	TLB	SoCAMM module-board ramp, DDR5 high-value mix
Equipment option	Taesung	Major orders, glass substrate equipment production, credible consensus formation

FAQ

What is the Korea AI PCB ecosystem?

It is the listed Korean supply chain around AI substrates: FC-BGA, MLB, memory module boards, SoCAMM, high-end CCL, low-dielectric materials and PCB / glass-substrate equipment.

Why do margins matter so much in this analysis?

Margins show where pricing power is accumulating. If upstream CCL and low-dielectric material companies show higher margins than board manufacturers, the bottleneck may be closer to the material stack than to assembly alone.

Why is Doosan Electronic BG not simply the top stock?

Because it is not separately listed. The public-market route is Doosan, a holding-company structure with other affiliate values and risks. Business quality and stock access are not the same thing.

Why is Kolon Industries interesting despite low consolidated margins?

Because the mPPO option may be hidden inside a much larger chemical and industrial-materials company. The consolidated margin and PER can obscure the economics of the mPPO line.

Is Taesung comparable to the other nine companies?

No. Taesung is better treated as an equipment and glass-substrate option. Its valuation is not driven by current earnings in the same way as the profitable substrate or material names.

Selected Public Sources

Doosan 1Q26 high-end CCL strength, Seoul Economic Daily: https://en.sedaily.com/finance/2026/04/29/doosan-q1-operating-profit-jumps-717-percent-on-high-end
Doosan earnings document summary, MarketScreener: https://www.marketscreener.com/news/doosan-earnings-document-ce7f59d3dd81f224
Pamicell 2026 Doosan Electronic BG supply contract report: https://www.g-enews.com/article/Securities/2026/02/20260219100622493844093b5d4e_1
Lotte Energy Materials and Doosan Electronic BG high-performance PCB copper foil alliance: https://en.sedaily.com/finance/2026/03/22/lotte-energy-materials-doosan-electronics-unit-partner-on
Taesung financial overview, StockAnalysis: https://stockanalysis.com/quote/kosdaq/323280/financials/

Final Note

The statement “AI substrates are scarce” is true, but it is too shallow. The better question is: where does the scarcity convert into margin?

The ten-company map suggests the answer is upstream. Doosan Electronic BG and Pamicell show margin profiles around the 30% zone, while many board manufacturers sit in the 14% to 22% range. That does not make board makers bad. It means the material stack deserves its own analytical weight.

The most important investment lesson is that business quality and factor attractiveness diverge. Doosan Electronic BG may be the best business, but the listed route is Doosan. Samsung Electro-Mechanics may be the premium anchor, but recognition is already high. Daeduck Electronics may be less glamorous, but the combination of FC-BGA, MLB and valuation looks more balanced. Kolon Industries may look like a low-multiple chemical company, but mPPO can create a hidden option. Pamicell still carries old-label risk, but that is exactly why the recognition gap can matter.

The work from here is straightforward: track margins, contract cadence, mPPO disclosure, SoCAMM adoption, glass-substrate equipment orders and whether the market starts separating the valuable hidden parts from the consolidated wrappers.

Disclaimer: For research and information purposes only. Not investment advice. Names cited are for analytical illustration; readers should perform their own due diligence and consult licensed advisors before any investment decision.

AI PCB and Substrate Thesis: GPU, CPU, NIC and CCL Demand Are One System Bottleneck

Tue, 05 May 2026 23:15:00 +0900

Sector map: This is the upper-layer AI PCB and substrate thesis behind the Pamicell work. The company comparison continues in Korea AI PCB Ecosystem: 10 Companies, and the full reading path sits in the AI PCB hub. Read it together with Pamicell Part 1, Pamicell Part 2, and the Samsung Electro-Mechanics AI infrastructure re-rating note.

The company-level question is narrower: which Korean names have the best position in AI PCB, FC-BGA and low-loss material supply? This note moves one level up. It asks why capital should enter the whole ecosystem in the first place.

The answer is not “substrates are the next theme after GPUs.” That is too linear. AI infrastructure is no longer a GPU card. It is a rack-scale system. A modern AI rack has GPUs, CPUs, DPUs, NICs, switch ASICs, memory modules, power delivery, cooling control and high-speed boards. Each layer adds silicon. Each piece of silicon needs a package substrate, a module board, a motherboard, a switch board or a low-loss material stack.

That is the core point: the PCB and substrate layer is not the next stop in a simple rotation. It is the common denominator of the entire AI system bill of materials.

TL;DR

The market’s “GPU to memory to substrate” sequence is directionally useful, but incomplete. The better frame is simultaneous system expansion: GPU, HBM, CPU, DPU, NIC, switch ASIC and memory modules all rise together, and all require substrates or boards.
NVIDIA Vera Rubin NVL72 makes the point concrete. The platform combines 72 Rubin GPUs, 36 Vera CPUs, NVLink 6 switching, ConnectX-9 SuperNICs, BlueField-4 DPUs and Spectrum-X / Spectrum-6 Ethernet scaling. The CPU:GPU ratio is 0.5, or one CPU for every two GPUs. This is no longer a single-chip story.
Agentic AI raises the CPU intensity of inference. Tool orchestration, retrieval, code execution, database access, memory management and security isolation all lean on CPUs, DRAM, NICs and DPUs. If CPU content rises, server CPU FC-BGA, memory module boards, SoCAMM, motherboards and low-loss CCL all get pulled along.
Physical AI expands the thesis outside the data center. Autonomous vehicles, humanoids, industrial robots and space electronics all use more boards, more sensors, more edge AI modules and more reliability-sensitive PCB material. The time curve differs: data center first, autonomous driving second, humanoids later, space as a high-reliability margin premium.
For Korea, the investable map becomes layered. Samsung Electro-Mechanics is the high-end FC-BGA plus MLCC node. Daeduck Electronics is the FC-BGA / MLB / SoCAMM factor candidate. Doosan Electronic BG is the CCL anchor. Kolon Industries and Pamicell sit upstream in low-dielectric materials. Pamicell is not just a standalone stock idea; it is one compressed proxy inside a larger AI substrate system.

1. The Linear Frame: Useful, But Too Small

The market likes sequences because sequences are easy to trade.

First came GPUs: NVIDIA captured the budget because accelerators were scarce. Then came HBM: GPUs could not scale without memory bandwidth, so SK hynix, Samsung Electronics and Micron moved to the center of the discussion. The next step is usually described as substrates or advanced packaging: if GPUs and HBM scale, then FC-BGA, interposers, MLBs and CCL should follow.

That frame is not wrong. A larger GPU needs a larger and more complex package substrate. HBM expansion raises packaging intensity. Server boards become denser and faster. From that angle, substrates do come after GPUs and HBM in the recognition cycle.

But the frame misses the most important change in system architecture. AI infrastructure in 2026 is not a pile of GPUs. It is a rack-scale platform that co-designs compute, memory, networking, security and system control.

The NVIDIA Vera Rubin NVL72 configuration is the cleanest example. Public NVIDIA materials describe a system built around 72 Rubin GPUs and 36 Vera CPUs, with NVLink 6 switching, ConnectX-9 SuperNICs and BlueField-4 DPUs. NVIDIA’s own Rubin platform materials also frame the platform as a six-chip co-design: Vera CPU, Rubin GPU, NVLink switch, ConnectX-9 SuperNIC, BlueField-4 DPU and Spectrum-6 Ethernet switch.

The arithmetic matters:

Vera CPUs = 36
Rubin GPUs = 72
CPU:GPU = 36 / 72 = 0.5

One CPU for every two GPUs is not a trivial host-processor footnote. It says the rack is a system, not a GPU shelf. Once that is true, the substrate thesis stops being a downstream echo of GPU demand. It becomes a multi-chip system thesis.

2. Why Every Chip Pulls A Board

The easiest way to see the substrate layer is to walk the system bill of materials.

System layer	Chip or module	Board / substrate demand
AI acceleration	GPU, custom ASIC, TPU	Large FC-BGA, advanced package substrate, high-density board
Host and orchestration	Server CPU, Vera CPU, x86 / Arm CPU	Large FC-BGA, CPU socket board, motherboard MLB
Memory bandwidth	HBM, DDR5, LPDDR-based server modules, SoCAMM	Interposer / substrate, memory module PCB, signal-integrity material
Networking	NIC, SuperNIC, Ethernet switch ASIC, InfiniBand switch	Switch board, optical module PCB, low-loss MLB
Data movement and security	DPU, SmartNIC	Package substrate, accelerator card PCB
Power and control	VRM, power modules, BMC and control boards	Power PCB, MLCC, high-reliability board

This is why “GPU demand” is too narrow. A hyperscaler does not buy a GPU in isolation. It buys a working rack. That rack contains compute chips, memory chips, networking chips, control chips and power electronics. The more the system expands, the more the board layer is asked to carry high-speed signals, heat, power and reliability.

The Korean equity translation is also clearer under this frame:

Korean layer	Companies to track	What they represent
High-end package substrate	Samsung Electro-Mechanics, Daeduck Electronics, Korea Circuit	FC-BGA and package substrate exposure
Multi-layer board and module PCB	Isu Petasys, Daeduck Electronics, TLB, Simmtech, Korea Circuit	Server motherboard, switch board, memory module and SoCAMM exposure
CCL anchor	Doosan Electronic BG	High-end copper-clad laminate for AI servers and networking
Low-loss materials	Kolon Industries, Pamicell	mPPO / low-dielectric resin and hardener inputs
Power stability	Samsung Electro-Mechanics and MLCC peers	MLCC content per AI server and high-voltage component mix

Pamicell belongs in this map as an upstream material proxy to Doosan Electronic BG. Samsung Electro-Mechanics belongs as the premium listed Korean node in FC-BGA and MLCC. Daeduck belongs as the broader FC-BGA / MLB / SoCAMM factor candidate. These are not separate stories. They are different points on the same system BOM.

3. Agentic AI Makes The CPU Layer Bigger

Traditional LLM inference looked simple from a hardware lens:

prompt
 -> GPU forward pass
 -> response

Agentic AI changes the workload. The model does not just answer. It plans, calls tools, searches, reads files, executes code, queries databases, manages memory, verifies output and may coordinate with other agents. The GPU is still central, but the non-GPU work becomes much heavier.

Agentic function	Main hardware pull
LLM forward pass	GPU + HBM
Tool orchestration	CPU
Retrieval and search	CPU + DRAM + storage
Code execution	CPU, sandbox, compiler / interpreter
Session memory and state	CPU + DRAM
Networked tool calls	NIC + switch ASIC + PCB
Security and isolation	CPU + DPU

TrendForce has been explicit about this direction. Its April 2026 agentic AI report and related public commentary describe a structural change in CPU:GPU ratios, tight server CPU supply and price increases by Intel and AMD. Tom’s Hardware reported the same direction from the industry side: AI server configurations that once used one CPU for four to eight GPUs can move toward much higher CPU intensity in agentic inference scenarios.

The exact ratio will vary by workload. A code-agent cluster is not the same as a video generation cluster. A retrieval-heavy enterprise agent is not the same as a pure batch inference system. But the direction is what matters for substrate investors: more CPU work means more CPU packages, more memory around the CPU, more networking, and more board-level signal integrity requirements.

The path from agentic AI to Korean substrates looks like this:

Agentic AI adoption
 -> CPU orchestration workload increases
 -> server CPU, DPU, NIC and switch ASIC content rises
 -> server CPU FC-BGA and high-layer MLB demand rises
 -> memory modules, SoCAMM and motherboard complexity rise
 -> low-loss CCL and low-dielectric materials become more important
 -> Korean substrate and material companies receive a share of the BOM expansion

That last line is important. Korea does not own the CPU market. Intel, AMD, Arm, NVIDIA and cloud-service-provider custom CPUs capture the chip value. Korean listed companies capture the board and material content around the chip. This is still meaningful because the substrate content grows with the system, not with a single product line.

4. Physical AI: Outside The Data Center

The data center is the first and largest near-term driver. Physical AI is the second expansion path. The timing is slower, but the direction is consistent: when intelligence moves into vehicles, robots, factories and satellites, more compute moves closer to the edge. More edge compute means more boards.

Autonomous driving

Autonomous driving is the most realistic second leg because cars already use large electronics stacks. A vehicle with advanced driver assistance or autonomous functions contains central compute, sensor fusion, camera modules, radar, lidar, vehicle Ethernet and redundant safety controllers.

Vehicle system	PCB and material pull
Central compute	High-density board, processor package substrate
Sensor fusion ECU	Multi-layer PCB, high-speed signal board
Camera / lidar / radar	Rigid-flex, RF board, module PCB
Vehicle Ethernet	Low-loss CCL and high-speed communication PCB
Safety redundancy	More ECUs and more board area

This does not hit earnings as quickly as AI data centers. Vehicle programs take time, qualification is slow and the revenue curve is model-cycle dependent. But the direction is not ambiguous: a smarter vehicle carries more board content than a traditional vehicle.

Humanoid and industrial robotics

NVIDIA Jetson Thor gives the physical AI argument a concrete hardware reference point. NVIDIA positions Jetson Thor for physical AI and robotics, with up to 2,070 FP4 TFLOPS, 128GB of memory and a 40W to 130W configurable power range. That kind of edge AI module needs high-density boards, power boards, sensor interconnect and flexible PCBs.

Humanoids will not drive Korean substrate earnings tomorrow. They are not yet a mass-volume market. But they extend the option value of the thesis. If edge AI modules become standardized across robots, factories and industrial machines, board content shifts from a data-center-only story to a distributed compute story.

Space and defense electronics

Space is different. It is not a volume story. It is a reliability and margin story. NASA and IPC-related materials for mission hardware emphasize high-reliability PCB requirements, supplier qualification and Class 3 / space-addendum type standards. For listed Korean PCB names, the relevance is not “space will absorb massive capacity.” It is that harsh-environment electronics can justify higher reliability standards and potentially better margins.

The time curve looks like this:

End market	Earnings timing	PCB intensity	Practical confidence
AI data center	Fast	Very high	High
Autonomous driving	Medium	High	Medium to high
Humanoids / robotics	Slow	Medium to high	Medium
Space / defense electronics	Slow	High specification, low volume	Medium

This ordering matters. The near-term model should still be data-center led. Physical AI is not a reason to stretch every valuation today. It is a reason the terminal market may be broader than the current AI server cycle implies.

5. What This Adds To The Pamicell Thesis

The Pamicell work started with a company-specific recognition gap. The market remembered a stem-cell company. The income statement increasingly looked like an AI CCL material supplier. The Doosan Electronic BG link, repeated supply-contract evidence, high-margin biochemicals and KRX industry reclassification all pushed in the same direction.

This sector thesis changes the question from “why Pamicell?” to “why does the upstream CCL material layer matter at all?”

The answer is that CCL and low-loss materials are not tied to one GPU generation. They sit under the system layer:

GPU / CPU / DPU / NIC / switch ASIC expansion
 -> high-speed signal and thermal constraints rise
 -> low-loss CCL demand rises
 -> CCL producers need low-dielectric materials
 -> upstream suppliers such as Pamicell become compressed proxies

Pamicell is still not the same as Doosan Electronic BG, and it is not a PCB manufacturer. It is further upstream. That means customer concentration and qualification risk are real. But it also means the company’s small size can make the same system-level demand look more powerful in percentage terms if orders keep compounding.

Put differently: Pamicell’s thesis becomes more durable if the AI board cycle is not just a GPU substrate cycle, but a multi-chip system substrate cycle.

6. What This Adds To The Samsung Electro-Mechanics Thesis

Samsung Electro-Mechanics was already re-rated around two ideas: high-end FC-BGA and AI-server MLCC. That older framing still works. The system-BOM thesis makes it cleaner.

If the only driver were GPUs, Samsung Electro-Mechanics would be a high-end package-substrate story with MLCC attached. If the driver is rack-scale system expansion, the company sits in more than one lane:

Lane	Why it matters
FC-BGA	Larger and more complex CPUs, GPUs, ASICs and networking chips need high-end package substrates
MLCC	AI servers, networking trays and power delivery all increase component density
Glass substrate option	Future large-package architecture may require new substrate materials and processes
Automotive and robotics electronics	Physical AI increases high-reliability component and board demand over time

This does not remove valuation discipline. Samsung Electro-Mechanics has already been recognized by the market more than Pamicell or some smaller PCB names. The factor question is not “is this a good company?” It is “how much of the system-level substrate expansion is already in the price, and how much must be confirmed through orders, margins and guidance?”

That is why this note treats Samsung Electro-Mechanics as the premium anchor rather than the highest-beta idea. It is the cleanest Korean large-cap expression of FC-BGA plus MLCC, but its future return depends on continued estimate revisions rather than simply discovering the theme.

7. Portfolio Frame: Core, Barbell, Options

The company ranking can change with price, but the factor map is stable.

Role	Candidate exposure	Reason
Premium anchor	Samsung Electro-Mechanics	FC-BGA + MLCC + customer qualification + scale
Core PCB factor	Daeduck Electronics	FC-BGA, MLB and potential SoCAMM / module board sensitivity
CCL anchor	Doosan Electronic BG inside Doosan	High-end CCL body of the domestic chain
Upstream material barbell	Kolon Industries and Pamicell	Low-dielectric resin / material exposure, smaller base and higher operating leverage
Optionality	Korea Circuit, TLB, Simmtech, Isu Petasys	Memory module, MLB, networking and broader AI PCB beta

The point is not to force one answer. The point is to avoid treating all “AI PCB” names as the same asset. Package substrates, multi-layer boards, CCL and low-dielectric chemistry have different margin structures, qualification periods and customer risks.

A useful portfolio view is:

Premium anchor:
 Samsung Electro-Mechanics

Core substrate / board factor:
 Daeduck Electronics, selected MLB names

Upstream material barbell:
 Kolon Industries + Pamicell

Higher-beta options:
 Korea Circuit, TLB, Simmtech, Isu Petasys

When the market says “the PCB cycle is over,” the system-BOM thesis helps test whether that is true. If GPU shipments slow but CPU content, networking ASICs, DPUs and memory module complexity keep rising, the board cycle may cool in one lane while staying tight in another.

8. What Could Break The Thesis

The common-denominator frame is not a claim that the cycle lasts forever. Four risks matter.

First, hyperscaler AI capex can slow. If AWS, Microsoft, Google or Meta guide down for more than one quarter, the entire hardware supply chain will feel it.

Second, substrate technology can change. Glass substrate or other new architectures could alter the FC-BGA cycle faster than expected. This does not remove board demand, but it can shift the winners.

Third, capacity can arrive. If high-end CCL, glass fiber or low-loss material capacity enters faster than expected, pricing power can normalize before volumes fully mature.

Fourth, physical AI can take longer than the market wants. Autonomous driving, humanoids and space electronics all have long qualification and adoption cycles. They are not substitutes for near-term data-center revenue.

These risks do not kill the thesis. They define the checklist.

9. Verification Checklist

The thesis should be tracked at the system level, not just through one company’s quarterly number.

Signal	Why it matters
NVIDIA rack-scale roadmap	More chip types and higher rack density extend the common-denominator substrate cycle
CPU:GPU ratio commentary	A higher CPU ratio strengthens the CPU FC-BGA and motherboard MLB leg
Hyperscaler capex guidance	The first-order demand source for AI data-center boards
CCL and glass-fiber lead times	Confirms whether material tightness is real or easing
Samsung Electro-Mechanics package and component margins	Tests whether premium substrate and MLCC pricing still hold
Daeduck / MLB order commentary	Tests whether broader PCB beta is converting into revenue
Pamicell and Doosan Electronic BG contract cadence	Tests whether upstream CCL material demand is still compounding
Automotive / robotics PCB comments in Korean company IR	Early sign that physical AI is moving from optionality to revenue

If these signals stay aligned, the substrate cycle is not simply a 2025-2027 theme. It becomes a multi-year system architecture shift.

FAQ

What is the AI PCB thesis?

The AI PCB thesis argues that AI infrastructure demand is no longer limited to GPUs and HBM. Rack-scale systems need GPUs, CPUs, NICs, DPUs, switch ASICs, memory modules and power boards. Each layer requires package substrates, multi-layer boards or low-loss materials.

Why does agentic AI increase CPU demand?

Agentic AI uses tools, retrieval, code execution, memory management and orchestration. Those tasks add CPU, DRAM, networking and DPU workload around the GPU. Higher CPU content can increase demand for server CPU FC-BGA, motherboards, memory module boards and low-loss CCL.

Why are Samsung Electro-Mechanics and Pamicell in the same sector map?

They sit at different points in the same AI substrate chain. Samsung Electro-Mechanics is a premium FC-BGA and MLCC node. Pamicell is an upstream low-dielectric material supplier linked to Doosan Electronic BG’s CCL cycle. The same system-level AI board demand can affect both, but with different risk and valuation profiles.

Is Pamicell a PCB company?

No. Pamicell is not a PCB manufacturer. The relevant thesis is upstream material exposure: low-dielectric / low-loss inputs used by CCL producers such as Doosan Electronic BG.

Is this investment advice?

No. This is a sector research framework. The right conclusion depends on valuation, order cadence, margin confirmation, customer concentration and each investor’s risk tolerance.

Selected Public Sources

NVIDIA Vera Rubin NVL72 product page: https://www.nvidia.com/en-us/data-center/vera-rubin-nvl72/
NVIDIA Technical Blog, Vera Rubin platform overview: https://developer.nvidia.com/blog/inside-the-nvidia-rubin-platform-six-new-chips-one-ai-supercomputer/
TrendForce, agentic AI and CPU:GPU ratio commentary: https://insights.trendforce.com/p/agentic-ai-cpu-gpu
TrendForce report page, 2026 Agentic AI Wave: https://www.trendforce.com/research/download/RP260408AD
Tom’s Hardware, agentic AI and CPU demand: https://www.tomshardware.com/pc-components/cpus/shifting-need-for-cpus-in-ai-workloads-drives-intensifying-shortages-price-hikes
NVIDIA Jetson Thor product page: https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-thor/
NASA quality guidance for high-reliability PCB standards: https://sma.nasa.gov/sma-disciplines/quality
NASA GSFC-STD-8001 high-reliability PCB standard: https://standards.nasa.gov/sites/default/files/standards/GSFC/Baseline/0/gsfc-std-8001.pdf

Final Note

The cleanest version of the thesis is simple:

AI does not buy GPUs alone. It buys systems.

Systems add chips. Chips need substrates, boards and low-loss materials.

That is why the substrate layer should be read as a common bottleneck rather than a late-cycle afterthought. The implication is not that every Korean PCB or material stock deserves the same multiple. It is that the ecosystem should be evaluated as a system-level supply chain: Samsung Electro-Mechanics at the premium FC-BGA / MLCC node, Daeduck and MLB names at the board layer, Doosan Electronic BG at the CCL body, and Kolon Industries and Pamicell upstream in low-dielectric materials.

The work from here is not to repeat the theme. It is to track whether the system BOM keeps getting thicker, whether CPU and networking content continue to rise, and whether Korean companies convert that complexity into orders and margins.