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Graph written 2026-10-05

Cascade

Simulate disruptions through 11,858 supplier–customer relationships among 4,216 organizations

The cascade engine

Scenario definitions
050100organizations connected within 3 linksPulumi Corporation: connected to 98 organizations downstream within 3 recorded supplier–customer links, the most connected in the public graphPulumi Corporation · 98Lam Research: connected to 95 organizations downstream within 3 recorded supplier–customer links, the 2nd most connected in the public graphLam Research · 95FormFactor: connected to 93 organizations downstream within 3 recorded supplier–customer links, the 3rd most connected in the public graphFormFactor · 93Rambus: connected to 87 organizations downstream within 3 recorded supplier–customer links, the 4th most connected in the public graphRambus · 87Median organization: rank 295 of 591, with 1 downstream organizations within 3 linksmedian · 1From rank 415 onward, 176 of 591 organizations have no downstream connections recorded in this graph176 have no downstream connectionsmost connectedleast connected591 organizations, ranked

Downstream connections. Organizations ranked by the number of others connected downstream within 3 recorded supplier–customer links, each counted once. The count records relationships and says nothing about volume, share or substitutes.

This count uses the publicly inspectable relationships. The simulation also uses licensed relationships, weights each by the evidence for it and stops at an impact cutoff, so its results are not read off this curve.

Relationships last disclosed five or more years before the latest filing wave are not drawn; an undated relationship can still name a company since acquired or dissolved.

Open the cascade engine

Across this graph, an organization has an average of 1.6 downstream organizations within one link, 5 within two, and 11 within three. Within three links, none connects to 100 others downstream (the most connected, to 98); 176 have none recorded. These counts do not account for the strength of a dependency or the availability of substitutes. How propagation is derived

Graph coverage

11,858
relationships used in simulations across 4,216 organizations. Of these, 1,924 come from a licensed layer limited to relationships between organizations already in Scrutica's records.
999
publicly inspectable relationships across 591 organizations, drawn in the graph and used to calculate the connections curve. Additional licensed relationships are included in simulations but cannot be redistributed. The drawn graph’s JSON lists 2,648 relationships across 1,365 organizations: these 999, 627 partnerships and 1,022 relationships whose latest disclosure covers a fiscal period ending on or before 2019-12-31. Only the 999 are drawn, and only they propagate: a partnership moves nothing from supplier to customer, and a relationship with no disclosure in the five years to the latest filing wave is not evidence of a present dependency.
20,798
source records, including 8,940 the simulation does not propagate along: another source’s record of the same relationship, an unnamed counterparty aggregate, a partnership, or a relationship last disclosed five or more years before the latest filing wave.

The pre-built scenarios 20 seeds

Severity sets the initial impact at the selected companies; some presets use reported exposure as a proxy, while others assume a loss. Decay reduces impact at each supply-chain hop and is always an editorial assumption. The source tier describes the evidence informing the scenario, including company filings and market research.
ScenarioCategorySeed nodesSeverityTierDecay
TSMC Taiwan DisruptionNatural disasterTSMC1.00T40.90
ASML Export HaltExport controlASML1.00T40.95
US–China Full Decouple: Revenue ImpactGeopoliticalNVIDIA, AMD, Intel, Qualcomm Inc0.15T40.70
US–China Full Decouple: Access DenialGeopoliticalSMIC, Huawei Technologies, Baidu, ByteDance, Alibaba, Tencent Holdings Ltd.0.55T40.80
CoWoS Advanced Packaging BottleneckSupply bottleneckTSMC0.40T40.70
SK Hynix HBM DisruptionSupply bottleneckSK Hynix0.60T40.80
EDA Export RestrictionExport controlSynopsys, Cadence0.90T40.80
Chiplet Assembly DisruptionSupply bottleneckTSMC, Synopsys, Cadence0.80T40.75
Qatar helium disruption (March 2026)Supply bottleneckSamsung, SK Hynix, TSMC0.65T40.75
InP/EML Laser ShortageSupply bottleneckCoherent, Lumentum Holdings0.85T40.80
ABF build-up film supply (Ajinomoto)Supply bottleneckAjinomoto Co., Inc.0.90T40.95
Gallium/germanium controls return (after 27 Nov 2026)GeopoliticalCoherent, Skyworks Solutions, Qorvo, Wolfspeed, Infineon Technologies0.70T40.65
CoWoS 2026 Allocation ConstraintSupply bottleneckTSMC0.85T40.85
Japan Semiconductor-Input Seismic Shock (Korea coupling)Natural disasterShin-Etsu, SUMCO, Tokyo Electron, Advantest, Disco, Lasertec, Tokyo Ohka Kogyo, Resonac Holdings, Kioxia0.70T40.82
Allied Coordination: TSMC Advanced Node RestrictionPolicy interventionTSMC1.00T40.90
EDA License Restriction: China Entity List ExpansionPolicy interventionSynopsys, Cadence0.95T40.80
Netherlands DUV Export Restriction to ChinaPolicy interventionASML0.70T40.85
China Critical Minerals Retaliatory RestrictionPolicy interventionCoherent, Skyworks Solutions, Qorvo, Wolfspeed, Infineon Technologies0.70T40.65
Multilateral Cloud Compute Access RestrictionPolicy interventionAmazon.com, Inc., Microsoft Corporation, Alphabet, Oracle Corporation0.80T40.75
Netherlands EUV Restriction: Allied Countries OnlyPolicy interventionASML1.00T40.95

Related research

Epoch’s analysis of the CoWoS packaging and HBM memory chokepoint documents the concentration at both ends of the supply relationship: NVIDIA, Google, AMD and Amazon on the demand side; TSMC, SK Hynix, Samsung and Micron on the supply side. Relationships of that kind are the edges the simulator above propagates over.