EUV tool capacity — the lowest rung
constraint a named mechanism, not a conclusion
ASML's EUV output is the floor under every gigawatt claim anyone makes. A gigawatt of Rubin-class capacity needs ~2,000,000 EUV passes; one tool does ~591,300 a year at 75 wafers/hour and 90% uptime; so ~3.4 tools per gigawatt. A fleet of ~715 tools by 2030 supports ~211 GW/yr IF EVERY TOOL WENT TO AI. Altman's 52 GW/yr is 25% of that fleet and Musk's 100 GW/yr in space is 47% — two names asking for 72% of every EUV tool on earth.
The path
| node | effect |
|---|---|
| Alphabet Inc. | -1.00 |
| Datacenter AI (Training + Inference) | -1.00 |
| NVIDIA Corporation | -0.55 |
| Advanced Micro Devices | -0.55 |
| ASML Holding | +0.09 |
What would break it
The scarce thing stops being scarce — capacity arrives, a substitute qualifies, or demand falls to meet supply. Watch the capacity schedule for the same node: a constraint and its schedule are the same fact on two clocks.
coverage and its limits
Scored on 5 subjects: 4 bound by it, 1 own the scarce thing and are made more valuable by it. Severity is graded by hand against a stated scale, not computed — the sign here is a judgement, and the magnitude is that grade.
Where it comes from
Generated from EUV tool capacity — the lowest rung — ASML's EUV output is the floor under every gigawatt claim anyone makes. A gigawatt of Rubin-class capacity needs ~2,000,000 EUV passes; one tool does ~591,300 a year at 75 wafers/hour and 90% uptime; so ~3.4 tools per gigawatt. A fleet of ~715 tools by 2030 supports ~211 GW/yr IF EVERY TOOL WENT TO AI. Altman's 52 GW/yr is 25% of that fleet and Musk's 100 GW/yr in space is 47% — two names asking for 72% of every EUV tool on earth.
The desk already holds CoWoS, power and packaging. Each of those bound in turn and each was relieved, because each is a supply chain that can be started anew: a data centre takes under a year, Amazon has built one in eight months. A fab takes two to three years and the tool that fills it took a decade to make work.
What makes EUV different is not difficulty, it is that the supplier has not been asked to scale and has not chosen to. ASML has never taken price faster than it improved the tool — $150m to $400m while throughput and overlay more than doubled — so there is no margin signal telling the supply chain to expand. The whole chain is running X-1 while the labs are asking for X, and the lag between those is measured in the years it takes to qualify a new supplier of multilayer mirrors.
Two publicly stated ambitions — 52 GW/yr and 100 GW/yr — consume 72% of every EUV tool that will exist in 2030. That leaves 28% for Google, Anthropic, Meta, Amazon, and every phone and PC on earth. The conclusion does not depend on any single input being right; it survives a 25% revision to all of them at once.
Sources
- 1GW of Rubin-class capacity needs ~55,000 N3 wafers, ~6,000 N5 and ~170,000 DRAM; ~20 of N3's ~70 mask layers are EUV; ~2m EUV passes per GW; tool does 75 wafers/hour at ~90% uptime; ~3.5 tools per GW; installed base 250-300 growing to ~700 by 2030; ceiling ~200 GW/yr; Altman 52 GW/yr, Musk 100 GW/yr in space tier_3
Arguments about this mechanism
None yet. No thesis names this mechanism’s subject, which is a gap in the bank rather than a fact about the mechanism.