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InnoLight — AI supply-chain exposure

InnoLight · 300308.SZ· Materials· China· $187B mkt cap
The quick read

The model reads InnoLight primarily as a producer in Infrastructure.

65
Chain weight /100
4
Parts exposed
1
Layers spanned
5
Close peers
InnoLight across the stack
Infrastructure

The structural read · model-generated

The model reads InnoLight primarily as a producer in Infrastructure.

Large-capCapital intensity: Moderate

In depth · editorial + model · written 2026-07-13

InnoLight is a leading merchant supplier of high-speed optical transceivers — the small modules that convert electrical signals into light so data can move between switches and accelerators inside an AI cluster. As clusters scale, the speed of these optics becomes a genuine bottleneck on how tightly thousands of GPUs can be lashed together, and InnoLight sits at the front of the fastest generations of high-lane-rate optics. That places it in the materials-and-components layer as a producer whose parts every large training fabric quietly depends on.

Chain footprint by layer

Infrastructure
100%

How it participates

Producer
100%

Critical materials it leans on

Lithium niobate (TFLN)GermaniumGallium arsenide (VCSEL substrate)Specialty optical fiber & preform glassHigh-purity quartz

Geographic concentration

ThailandChinaGermanyIsrael

Frequently asked

What is InnoLight's role in the AI supply chain?

The model reads InnoLight primarily as a producer in Infrastructure.

Which parts of the AI value chain is InnoLight exposed to?

InnoLight is mapped to 4 parts of the AI value chain, most strongly 800G optics, Transceivers, 1.6T optics. It sits primarily in the Infrastructure layer as a producer.

Does InnoLight own an AI bottleneck?

Not in the current model — InnoLight is exposed to constrained parts but sits downstream of them rather than producing them.

Who are InnoLight's closest peers by AI-chain position?

By shared chain dependencies: Huagong Technology Co., Ltd., Fabrinet, Source Photonics, Jabil Inc..

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model v0.7.0 · research, not advice

Chain analytics are illustrative, order-of-magnitude estimates from our model of the AI value chain — not investment advice. Market cap sourced 2026-07-04.

as of 2026-07-17Medium confidence model v0.7.0
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