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AI Industry Chain Panorama

📊 Read This Page Before Atlas

This page is an introductory overview (60+ tickers × hand-curated 30 key edges). After reading, proceed to the advanced 🆕 Industry Chain Atlas — LLM-mined from 1643 SemiAnalysis + Stratechery articles, yielding 269 edges with ≥2 citations, including specific what flows + citation counts.

The AI industry is like a pyramid: at the top are AI labs like OpenAI/Anthropic, below them cloud providers offering compute, compute relies on NVIDIA GPUs, GPUs are manufactured by TSMC, TSMC uses ASML lithography machines, and ASML uses various lasers and components...

The diagram below shows the relationships among the 60+ tickers we track (edges with importance ≥ 0.7):

Simplified Industry Chain Diagram

graph LR
    %% Upstream
    ASML[ASML Lithography] --> TSM[TSM/Samsung Foundry]
    AMAT[AMAT/LRCX Equipment] --> TSM
    SNPS[SNPS/CDNS EDA] --> NVDA[NVDA/AMD/AVGO Chip Design]
    %% Memory
    SKHynix[SK Hynix HBM] --> NVDA
    MU[Micron HBM] --> NVDA
    %% Manufacturing
    TSM --> NVDA
    %% Network/Optical
    COHR[COHR/LITE Optical Modules] --> NVDA
    ANET[ANET Network Switches] --> Hyperscaler
    %% Cloud
    NVDA --> Hyperscaler[MSFT/GOOGL/AMZN Cloud]
    NVDA --> CRWV[CRWV/NBIS Neocloud]
    %% AI Labs
    Hyperscaler --> OpenAI[OpenAI]
    Hyperscaler --> Anthropic[Anthropic]
    CRWV --> OpenAI
    %% Supporting
    CEG[CEG/VST Power] --> Hyperscaler
    VRT[VRT/ETN/HUBB Electrical Infrastructure] --> Hyperscaler
    classDef upstream fill:#fef3c7,stroke:#d97706
    classDef midstream fill:#dbeafe,stroke:#2563eb
    classDef downstream fill:#dcfce7,stroke:#16a34a
    classDef support fill:#fce7f3,stroke:#db2777
    class ASML,AMAT,SNPS,TSM,SKHynix,MU upstream
    class NVDA,COHR,ANET midstream
    class Hyperscaler,CRWV,OpenAI,Anthropic downstream
    class CEG,VRT support

Layer Details (Relationships with importance ≥ 0.7)

Upstream (Equipment/Materials/Wafer/Memory)

31 relationships

Upstream Relationship Downstream Importance Description
SNPS EDA Design Tools NVDA 0.9 Synopsys EDA tools for all NVDA chip design.
CDNS EDA Design Tools NVDA 0.9 Cadence EDA tools for NVDA + most chip designers.
SNPS EDA Design Tools AMD 0.8 Synopsys for AMD.
CDNS EDA Design Tools AMD 0.8 Cadence for AMD.
SNPS EDA Design Tools AVGO 0.8 Synopsys for Broadcom.
CDNS EDA Design Tools AVGO 0.8 Cadence for Broadcom.
TSM Wafer Foundry NVDA 1.0 TSMC manufactures all NVDA datacenter GPUs (Hopper, Blackwell, Vera Rubin) on 4N/3N/2N nodes. NVDA i
TSM Wafer Foundry AAPL 1.0 TSMC manufactures all Apple A/M-series silicon.
TSM Wafer Foundry AMD 0.9 TSMC manufactures AMD EPYC + MI300 datacenter chips.
TSM Wafer Foundry AVGO 0.9 TSMC manufactures AVGO Google TPU + custom silicon.
TSM Wafer Foundry MRVL 0.8 TSMC manufactures Marvell DPU + custom AI silicon.
TSM Wafer Foundry QCOM 0.8 TSMC manufactures Qualcomm Snapdragon.
0981.HK Wafer Foundry BIDU 0.8 SMIC manufactures Baidu Kunlun AI chips (China domestic).
TSM Wafer Foundry META 0.7 TSMC manufactures Meta MTIA custom AI silicon.
TSM Wafer Foundry MSFT 0.7 TSMC manufactures Microsoft Maia 100 AI accelerator.
TSM Wafer Foundry AMZN 0.7 TSMC manufactures AWS Trainium2 + Inferentia (some are also Samsung).
ASML Lithography / Equipment TSM 1.0 ASML is sole supplier of EUV lithography to TSMC. Bottleneck for 3nm/2nm ramp.
ASML Lithography / Equipment 005930.KS 0.9 ASML EUV to Samsung Foundry.
ASML Lithography / Equipment INTC 0.8 ASML EUV to Intel Foundry.
ASML Lithography / Equipment MU 0.8 ASML for DRAM/HBM lithography.
ASML Lithography / Equipment 000660.KS 0.8 ASML for SK Hynix DRAM/HBM.
AMAT Lithography / Equipment TSM 0.7 Applied Materials supplies deposition + etch tools to all foundries.
AMAT Lithography / Equipment MU 0.7 AMAT tools to Micron DRAM/NAND.
LRCX Lithography / Equipment TSM 0.7 Lam Research supplies etch + deposition to all foundries.
LRCX Lithography / Equipment MU 0.7 Lam Research to Micron.
000660.KS High Bandwidth Memory HBM NVDA 1.0 SK Hynix is dominant HBM3e supplier to NVDA H100/H200/B100. ~60% market share.
000660.KS High Bandwidth Memory HBM AMD 0.9 SK Hynix HBM3e supplier to AMD MI300.
MU High Bandwidth Memory HBM NVDA 0.8 Micron ramped HBM3e in 2024, gaining share with NVDA Blackwell.
000660.KS High Bandwidth Memory HBM AVGO 0.8 SK Hynix HBM supplier to Google TPU (via AVGO).
005930.KS High Bandwidth Memory HBM NVDA 0.7 Samsung Electronics HBM3e gradually qualified by NVDA (slower than Hynix).
MU High Bandwidth Memory HBM AMD 0.7 Micron HBM3e supplier to AMD MI300 (smaller share).

Midstream (Design/Network/Optical Modules)

9 relationships

Upstream Relationship Downstream Importance Description
ANET Network Switches META 0.9 Arista is Meta's primary network supplier.
AVGO Network Switches GOOGL 0.9 Broadcom is Google's primary custom networking + TPU silicon partner.
ANET Network Switches MSFT 0.8 Arista Networks switches for hyperscaler AI fabrics.
MRVL Network Switches AMZN 0.8 Marvell DPU + custom silicon for AWS Trainium2.
AVGO Network Switches META 0.7 Broadcom custom silicon (MTIA) to Meta.
COHR Optical Modules / Optical Communication NVDA 0.9 Coherent supplies optical transceivers for NVDA Spectrum-X networking. NVDA $2B strategic equity inv
LITE Optical Modules / Optical Communication NVDA 0.8 Lumentum supplies optical chips. NVDA $2B strategic investment.
AAOI Optical Modules / Optical Communication NVDA 0.7 Applied Optoelectronics supplies optical transceivers.
300308.SZ Optical Modules / Optical Communication NVDA 0.7 Innolight is dominant Chinese optical transceiver supplier.

Downstream (Cloud/AI Labs/Customers)

12 relationships

Upstream Relationship Downstream Importance Description
MSFT Cloud Customer Relationship OPENAI 1.0 Microsoft Azure is OpenAI's primary compute (since 2019, exclusive until 2024).
AMZN Cloud Customer Relationship ANTH 0.9 AWS provides primary compute to Anthropic ($100B+ deal).
MSFT Cloud Customer Relationship ANTH 0.7 Microsoft Azure provides compute to Anthropic (after 2024-Q4 multi-year deal).
GOOGL Cloud Customer Relationship ANTH 0.7 Google Cloud also provides compute to Anthropic (multi-cloud).
NVDA GPU → AI Labs MSFT 0.9 NVDA GPUs power Microsoft Azure AI + OpenAI compute.
NVDA GPU → AI Labs CRWV 0.9 CoreWeave is largest NVDA GPU customer outside hyperscalers ($100B backlog).
NVDA GPU → AI Labs META 0.9 Meta is one of NVDA's largest customers (Llama 3 training on 16K H100).
NVDA GPU → AI Labs NBIS 0.9 Nebius (formerly Yandex) NVDA GPU customer, alternative neocloud.
NVDA GPU → AI Labs ORCL 0.8 Oracle Cloud massive NVDA GPU buildout for OpenAI compute (Stargate).
NVDA GPU → AI Labs AMZN 0.8 AWS offers NVDA GPUs (alongside Trainium2 alternative).
NVDA GPU → AI Labs ANTH 0.8 Anthropic uses NVDA GPUs for Claude training.
NVDA GPU → AI Labs GOOGL 0.7 NVDA GPUs in Google Cloud (alongside TPU).

Supporting (Data Centers/Power/Cooling)

13 relationships

Upstream Relationship Downstream Importance Description
VRT Data Center Infrastructure CRWV 0.9 Vertiv to CoreWeave (neocloud).
VRT Data Center Infrastructure MSFT 0.8 Vertiv power + cooling infrastructure for MSFT datacenters.
VRT Data Center Infrastructure GOOGL 0.8 Vertiv to Google datacenters.
VRT Data Center Infrastructure AMZN 0.8 Vertiv to AWS datacenters.
VRT Data Center Infrastructure META 0.8 Vertiv to Meta datacenters.
VRT Data Center Infrastructure NBIS 0.8 Vertiv to Nebius.
ETN Data Center Infrastructure MSFT 0.8 Eaton power distribution for hyperscaler datacenters.
ETN Data Center Infrastructure GOOGL 0.8 Eaton for Google.
ETN Data Center Infrastructure AMZN 0.8 Eaton for AWS.
HUBB Data Center Infrastructure MSFT 0.7 Hubbell electrical for hyperscalers.
CEG Power MSFT 0.8 Constellation Energy 20-year PPA with Microsoft for nuclear power (Three Mile Island reopening). Cri
VST Power MSFT 0.7 Vistra power supply to hyperscalers.
CEG Power AMZN 0.7 Constellation power.

Key Takeaways (5 Things)

  1. NVIDIA is not isolated — It depends on TSMC for foundry, SK Hynix for HBM memory, Coherent/Lumentum for optical modules, and Synopsys/Cadence for design software. Any disruption in one link affects NVDA.

  2. AI labs are not direct customers — OpenAI buys compute from Microsoft Azure, and Microsoft then buys GPUs from NVIDIA. So in NVDA's earnings, "hyperscaler capex" is key, not "OpenAI revenue."

  3. CoreWeave is a "Neocloud" — Unlike hyperscalers, it only rents AI compute (no general cloud), with highly concentrated customers (MSFT accounts for 60%+), and has an equity relationship with NVIDIA ($36B equity).

  4. Power is the real bottleneck — AI data centers consume enormous electricity, involving not just hardware but also "picks and shovels" like Constellation Energy (nuclear PPA), Vistra, Eaton, and Vertiv.

  5. The industry chain transmits upstream and downstream — Samsung strike → HBM shortage → NVDA shipments affected → customers queue. Learn to track upstream + downstream for a complete view on any single stock.