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Chronicles

The story behind the story

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ASML says it plans to make at least 60 of its standard EUV machines in 2026, 36% more than it sold in 2025, as it races to meet demand for making AI chips

Kim Mackrael /Wall Street Journal:

Wall Street Journal Kim Mackrael

Context & Ripple Effects

ASML had already signaled that AI demand was lifting bookings for its most sophisticated EUV tools, after beginning High-NA EUV shipments in 2024. Its 2026 outlook had been clouded by tariff uncertainty, making a specific production ramp a more concrete indicator of customer demand.

The plan also sits alongside reports of higher DUV pricing and EUV price discussions with TSMC, suggesting that scarce lithography capacity is being addressed through both greater output and pricing.

First-order effects

  • ASML will allocate production toward at least 60 standard EUV systems in 2026, increasing the equipment available to chipmakers building leading-edge AI-chip capacity.
  • A larger EUV build plan, coupled with reported pricing actions, improves ASML's ability to convert strong demand into revenue while raising equipment costs for buyers.

Second-order effects

  • Leading-edge foundries, including customers such as TSMC referenced in reported EUV price discussions, must absorb higher lithography capital costs or seek productivity gains from each installed tool.
  • The ramp extends AI-driven capital spending beyond chip designers and into the specialized equipment supply chain, while DUV price increases broaden the effect beyond EUV buyers.

Third-order effects

  • If AI demand remains durable, lithography availability and cost will remain a gating factor in how quickly advanced-chip manufacturing capacity can expand, rather than capacity being determined by chip designers alone.
  • The simultaneous move toward higher-volume standard EUV and costly High-NA EUV points to a more tiered equipment market: suppliers and foundries will have to balance access to established tools against investment in next-generation capability.

The trend: AI infrastructure investment is propagating upstream into constrained semiconductor-equipment capacity, reinforcing lithography as a strategic bottleneck in advanced compute supply.