ASML says customers want more machines than it can build through 2028
Demand for semiconductor lithography machines exceeds ASML’s current production capacity through 2028, implying constrained supply of chipmaking equipment.
Source →The trace
How it reaches your house.
Starting from ASML, we walked the supply graph hop by hop to the goods you buy and the companies you own. Each step is the engine’s reasoning, scored for confidence and cited where a source backs it.
First impact
EUV Lithography Scanner (ASML) →DelaysASML HoldingASML
ASML is the sole qualified supplier with 100% share, so demand exceeding build capacity through 2028 directly stretches scanner deliveries and backlog at the company.
97% confidenceASML Holding →DelaysASML is Intel's sole supplier of EUV lithography tools, so ASML's inability to add capacity through 2028 delays Intel's access to critical tools for leading-edge nodes.
96% confidenceASML →DelaysHop 2
GPUs and AI accelerators →Prices easeHBM (High Bandwidth Memory) Stack
HBM is a critical accelerator input, so constrained accelerator assembly softens incremental HBM orders and price pressure from this segment.
80% confidenceGPUs and AI accelerators →Prices easeCoWoS Advanced Packaging (TSMC)
If fewer accelerators can be built, demand for CoWoS packaging capacity from this product line eases and pricing pressure turns down.
79% confidenceGPUs and AI accelerators →Prices easeHop 3
Advanced Logic Wafer (TSMC N3/N4) →Shortage riskTaiwan Semiconductor Manufacturing Company (TSMC)TSM
ASML's machine bottleneck directly caps TSMC's ability to add N3/N4 capacity, and TSMC is the dominant 90% share, sole-qualified supplier with a 48-month replacement lead time.
96% confidenceCoWoS Advanced Packaging (TSMC) →Shortage riskCoWoS is a critical packaging input to GPUs and AI accelerators, so a packaging bottleneck directly tightens their supply.
93% confidenceAdvanced Logic Wafer (TSMC N3/N4) →Shortage risk
Where it lands
What you buy, and what you own.
Goods you buy
Semiconductors and chips · GPUs and AI accelerators · Memory and storage chips · Specialty chips · Computers and laptops
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