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The 6-Layer Model: How Closelook Maps the AI Supply Chain

Closelook organizes the entire AI infrastructure supply chain into six functional layers: Silicon (lithography, fabrication, packaging), Memory (HBM, DDR5, storage), Networking (interconnects, switches, optical), Compute (GPUs, custom ASICs, CPUs), Data Platforms (cloud infrastructure, databases, observability), and End Markets (enterprise AI, consumer AI, robotics). Each layer has distinct competitive dynamics, bottleneck risks, and investment characteristics. The 6-Layer Model is the structural backbone of the Functional Index — every constituent is classified by its primary layer.

Why Layers Matter for Investors

Most investors think of "AI stocks" as a single category. But the AI supply chain is a deep, layered structure where each layer has different cycle dynamics, margin profiles, and bottleneck risks. Silicon (Layer 1) is capital-intensive with long lead times. Memory (Layer 2) is highly cyclical with pricing power swings. Compute (Layer 4) is where NVIDIA dominates but custom ASICs are emerging. Understanding which layer you're investing in determines your risk profile.

The Functional Index tracks all six layers independently. When Layer 1 (Silicon) outperforms Layer 4 (Compute), it signals that the supply chain is building ahead of demand — a healthy leading indicator. When Layer 4 outperforms alone, it suggests demand concentration without broad supply chain confirmation.

The Six Layers

Layer 1 — Silicon: ASML, TSMC, Applied Materials, Lam Research, BESI. Lithography, fabrication, packaging. The physical foundation. Longest lead times, highest capital intensity.

Layer 2 — Memory: Micron, SK Hynix, Samsung Memory. HBM, DDR5, storage. Most cyclical layer. HBM pricing is the key signal for AI demand health.

Layer 3 — Networking: Broadcom, Arista, Marvell, Coherent. Interconnects, switches, optical. The connective tissue between compute nodes. Increasingly bottlenecked as cluster sizes grow.

Layer 4 — Compute: NVIDIA, AMD, Intel, Google TPU, AWS Trainium. GPUs, custom ASICs, inference accelerators. The most visible layer but not the only one that matters.

Layer 5 — Data Platforms: Snowflake, Datadog, Confluent, Elastic. Cloud infrastructure, databases, observability. The software layer agents and AI applications run on.

Layer 6 — End Markets: Tesla, Apple, Meta, enterprise deployers. Where AI meets the real world. Demand-side indicator for the entire stack.

Key Companies

ASML ★ Sentinel
ASML
Layer 1 — Silicon
MU ★ Sentinel
Micron
Layer 2 — Memory
ANET
Arista
Layer 3 — Networking
NVDA
NVIDIA
Layer 4 — Compute
SNOW
Snowflake
Layer 5 — Data Platforms

Closelook View

The 6-Layer Model is the organizing principle behind everything Closelook publishes. The Functional Index is built on it, the research dossiers are organized by it, and portfolio allocation decisions reference it. Understanding which layer you're exposed to is the first step in AI infrastructure investing.

Functional Index — All 6 Layers →AI Chip Buildout Dossier →Functional Index — Why It's Better →