The ABF Substrate Supply Chain Behind AI Accelerators
September 16, 2026
Altsets
Research by Altsets Research
AI accelerator growth is pushing the bottleneck beyond Ajinomoto's ABF film and into the high-layer-count substrate factories that convert the material into increasingly large, complex packages.
Data used:Altsets Supply Chain Intelligence: 90k+ entities, 400k+ relationships, 20+ years of history.
Key findings
- IBIDEN approved an approximately ¥500 billion electronics investment program through fiscal 2028 centered on high-performance IC package substrates.
- The first announced IBIDEN phase includes roughly ¥220 billion of investment around its Gama facility, with additional mass production expected from fiscal 2027.
- Nan Ya PCB is developing next-generation ABF substrates for AI server ASICs and high-end networking equipment.
- Ajinomoto describes ABF as a thermosetting film built from epoxy resin, a hardener, and inorganic microparticle filler.
- The ABF bottleneck can move downstream into qualified substrate process capacity or upstream into specialized chemical inputs depending on which layer expands more slowly.
AI accelerators are creating a packaging constraint that sits between semiconductor materials and advanced packaging assembly. Ajinomoto supplies the build-up dielectric known as ABF, but the more immediate capacity question is increasingly downstream: whether companies such as IBIDEN and Nan Ya PCB can convert that material into the larger, more layered substrates required by GPUs and custom AI ASICs. At the same time, ABF itself depends on a less visible upstream chain of epoxy resins, curing chemistry and inorganic fillers.
The clearest signal is coming from IBIDEN. In February 2026, the Japanese substrate manufacturer approved an approximately ¥500 billion investment program for its electronics business through fiscal 2028, centered on expanding high-performance IC package substrate capacity for AI and other high-performance servers. The first announced phase includes roughly ¥220 billion of investment around its Gama facility, with additional mass production expected from fiscal 2027. [1]
That spending matters because the AI packaging constraint is not simply about producing more square meters of substrate. Each generation of accelerator is demanding more substrate manufacturing work per package.
The key distinction is between dielectric availability and qualified substrate process capacity. More ABF film does not automatically create more AI accelerator substrates.
ABF becomes more valuable as the package gets harder to build
ABF is the insulating layer inside high-density organic package substrates. Ajinomoto describes it as a thermosetting film built from organic epoxy resin, a hardener and inorganic microparticle filler. Substrate manufacturers laminate the film, create microscopic vias, deposit copper and pattern fine interconnects before repeating the process across multiple build-up layers. [3]
This puts Ajinomoto near the beginning of a long conversion chain.
ABF sits inside a longer conversion chain
The dielectric has to pass through specialized substrate manufacturing before it becomes part of an AI accelerator package
- 01Epoxy resin, hardener, fillerCore ingredient groups identified by Ajinomoto for ABF.
- 02ABF filmAjinomoto converts the chemistry into build-up dielectric film.
- 03Package substrateSubstrate manufacturers laminate, drill, plate, and pattern repeated build-up layers.
- 04Advanced package assemblyThe finished substrate joins logic, memory, and other package elements.
- 05AI acceleratorThe completed package becomes part of a GPU or custom AI ASIC system.
This is a simplified structural map. It does not imply that every supplier uses the same formulations, process sequence, or substrate architecture.
Source: Altsets research using Ajinomoto disclosures
The distinction matters for investors because additional ABF output does not automatically create additional accelerator substrate capacity.
Producing an advanced substrate requires repeated lamination, laser drilling, plating and fine-line patterning. As the package grows, more area has to pass through these processes. Additional build-up layers increase the number of manufacturing steps. Finer wiring raises process difficulty and yield sensitivity. Larger packages also make warpage and dimensional stability harder to control.
IBIDEN has explicitly linked AI server growth with larger and more multilayered substrates. Its 2026 investment program therefore represents considerably more than ordinary capacity replacement. It is an expansion of the manufacturing infrastructure required to turn dielectric film and copper into something an advanced GPU or ASIC can actually use. [1]
IBIDEN is expanding the conversion capacity, not just the material supply
The announced program targets high-performance IC package substrates for AI and other high-performance servers
| Measure | Reported value | Why it matters |
|---|---|---|
| Electronics investment program | Approximately ¥500 billion | Large multi-year expansion centered on high-performance package substrates |
| Program horizon | Through fiscal 2028 | Shows that qualified substrate capacity expands on a multi-year timetable |
| First announced Gama phase | Roughly ¥220 billion | Targets additional manufacturing infrastructure around a key substrate site |
| Additional mass production | Expected from fiscal 2027 | Capacity arrives later than the current AI demand signal |
The figures come from IBIDEN's February 2026 investment announcement. They describe planned capital spending and production timing, not guaranteed future output.
Source: IBIDEN
Nan Ya PCB is describing the same transition from another part of the market. In its May 2026 investor material, the company said it was developing next-generation ABF substrates for AI server ASICs as hyperscalers expanded data center capital expenditure. It is also targeting substrates for high-end networking equipment used to move data between increasingly large AI systems. [2]
The important signal is that both GPU growth and custom ASIC growth converge on the same substrate manufacturing processes.
The bottleneck extends in both directions from Ajinomoto
Ajinomoto is unusual because ABF sits deep inside the package while remaining technologically important to fine-pitch routing. But treating Ajinomoto as the entire ABF investment story misses two different dependency layers.
Downstream, substrate manufacturers including IBIDEN and Nan Ya PCB have to convert ABF into qualified, high-layer-count products. Other major FC-BGA and advanced substrate producers, including Unimicron, Kinsus and Shinko Electric, occupy similar positions in this manufacturing layer. Their exposure is not simply to semiconductor unit volumes. It is increasingly tied to package area, layer count, wiring density and the amount of processing required for each accelerator.
The downstream bottleneck is substrate process capacity
AI package complexity increases manufacturing work per package
| Demand driver | What increases | Why substrate capacity tightens |
|---|---|---|
| Larger package area | More substrate area per package | More material and more area must pass through each process step |
| Higher build-up layer count | More repeated lamination and patterning | Each additional layer adds manufacturing steps |
| Finer wiring | Process precision requirements | Yield sensitivity rises as interconnect dimensions tighten |
| Greater package complexity | Warpage and dimensional control burden | Larger structures become harder to keep within manufacturing tolerances |
| GPU and custom ASIC growth | Demand across multiple accelerator architectures | Different AI chips can converge on the same substrate manufacturing layer |
The table describes the process drivers identified in the article. It does not estimate company-specific throughput or yield.
Source: Altsets research using IBIDEN and Nan Ya PCB disclosures
That makes substrate demand capable of growing faster than accelerator shipments themselves. A package generation that becomes larger and requires more build-up layers consumes more substrate process capacity even if the number of finished chips does not increase proportionally.
Upstream from Ajinomoto, the dependency becomes more chemical. Ajinomoto's own description of ABF identifies epoxy resin, a hardening system and inorganic microparticle filler as fundamental ingredients. [3] Those materials have to deliver electrical insulation, low thermal expansion, processability and mechanical stability at increasingly demanding geometries.
ABF also has an upstream materials dependency
The film itself depends on a smaller set of chemical functions
| Ingredient group | Role in the ABF system | Investment relevance |
|---|---|---|
| Epoxy resin | Organic resin base | Provides part of the dielectric and mechanical foundation |
| Hardening system | Curing chemistry | Controls formation of the thermoset structure |
| Inorganic microparticle filler | Functional filler | Supports dimensional, thermal, and process performance |
The ingredient groups are drawn from Ajinomoto's public description of ABF. This does not identify specific upstream suppliers or imply that formulations are interchangeable.
Source: Ajinomoto
This upstream layer is easier to overlook because the raw material value per package can be small relative to the finished accelerator. That does not make it economically irrelevant.
A useful supply-chain distinction is the difference between cost share and production criticality. A material can represent a modest portion of a substrate maker's total costs while still being difficult to replace inside a qualified manufacturing process. Conversely, a substrate manufacturer can buy relatively inexpensive dielectric and chemical inputs but create significant economic value through manufacturing precision, yield management and customer qualification.
That asymmetry is why the ABF chain should not be analyzed by revenue size alone.
The second-order AI exposure is substrate process capacity
The obvious AI semiconductor exposures remain accelerator designers, foundries and HBM producers. ABF substrates introduce a different group of companies whose economics are connected to the physical complexity of those chips.
Ajinomoto benefits from greater demand for advanced build-up dielectric. IBIDEN and its peers are exposed to the manufacturing burden created when AI packages become larger and more complex. Nan Ya PCB's move toward next-generation AI ASIC substrates shows that this demand is broadening beyond conventional GPU architectures into hyperscaler-designed silicon. [2]
The common dependency is the substrate process itself.
The ABF investment map extends both upstream and downstream
Different companies participate through different constraints
| Layer | Selected companies or inputs | Exposure described in the article |
|---|---|---|
| Upstream chemistry | Epoxy resin, hardening chemistry, inorganic fillers | Inputs required to formulate ABF |
| Build-up dielectric | Ajinomoto | ABF film used inside advanced package substrates |
| Advanced substrate manufacturing | IBIDEN, Nan Ya PCB, Unimicron, Kinsus, Shinko Electric | Qualified conversion of ABF and copper into high-layer-count substrates |
| Advanced package assembly | Packaging houses and foundries | Integration of substrate with logic, memory, and package structures |
| AI accelerators | GPUs and custom AI ASICs | End demand that increases package area, layer count, and process intensity |
This is a role map, not a ranking of companies or a complete substrate supply chain.
Source: Altsets research
That makes one distinction especially important for investors: growth in ABF demand and growth in finished substrate capacity are not interchangeable. If dielectric film supply expands faster than qualified substrate manufacturing, the bottleneck remains at the converter. If substrate manufacturers expand aggressively, attention can move upstream toward the specialized resins, fillers and other materials required to sustain higher production volumes.
Conclusion
The ABF supply chain behind AI accelerators is not a single-company story. Ajinomoto supplies a critical dielectric, but AI packaging demand becomes economically concentrated again at substrate manufacturers such as IBIDEN and Nan Ya PCB, where ABF must be transformed through increasingly intensive build-up and copper-patterning processes.
The most important variable is therefore not simply how many AI accelerators are produced. It is how much substrate area, how many layers and how much process capacity each new generation consumes. As AI packages become larger and more complex, that manufacturing burden pushes the investment exposure both downstream into advanced substrate producers and upstream into the specialized chemical materials from which ABF itself is made.
Sources
-
"Notice Regarding Capital Investment Plan for High-Performance IC Package Substrates," IBIDEN Co., Ltd., February 3, 2026, https://www.ibiden.com/company/2026/02/notice-regarding-capital-investment-plan-for-high-performance-ic-package-substrates.html
-
"2026 Investor Conference Presentation," Nan Ya Printed Circuit Board Corporation, May 6, 2026, https://www.nanyapcb.com.tw/nypcb/images/InvestorRelations/FinancialReport/NYPCBENG20260506.pdf
-
"Ajinomoto Build-up Film (ABF)," Ajinomoto Group, https://www.ajinomoto.com/innovation/our_innovation/buildupfilm
How to Cite This
According to Altsets Supply Chain Intelligence (altsets.com), the ABF supply-chain constraint is increasingly split between dielectric availability and the qualified substrate process capacity required to convert ABF into larger, higher-layer-count AI accelerator substrates.
For research inquiries or data access: press@altsets.com
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