ASML says it plans to make at least 60 of its standard EUV machines this year, 36% more than it sold in 2025, as it races to meet demand for making AI chips
ASML is the only supplier of the machines needed to make cutting edge AI chips at scale — VELDHOVEN, the Netherlands …
Context & Ripple Effects
ASML’s latest production plan follows prior evidence that AI demand was lifting bookings for its most sophisticated EUV tools, after the company had already begun preparing shipments of its newer High NA EUV systems. The arc has moved from demand visibility and next-generation-tool preparation to a defined increase in output of standard EUV machines.
The expansion is notable because ASML is the named supplier of the lithography tools used for leading-edge AI chips. It also comes after earlier uncertainty around 2026 growth, while ASML has signaled a broader push into advanced packaging, bonding, connectivity, and AI-based inspection.
First-order effects
- ASML is committing more standard EUV capacity to customers in 2026, directly increasing the supply of a critical tool for leading-edge AI-chip production.
- The company gains scope to translate tight demand into higher equipment revenue: sources cited in the coverage say it has discussed EUV price increases with TSMC and plans a DUV price increase.
Second-order effects
- Chipmakers that depend on EUV gain a clearer path to expand advanced-node capacity, though access to machines remains a scheduling and capital-allocation constraint rather than an instant increase in chip output.
- ASML’s higher tool volumes extend demand to the surrounding manufacturing ecosystem, while its move toward packaging and inspection puts more of the advanced-chip production flow within its strategic reach.
Third-order effects
- If AI-driven orders remain durable, EUV availability will remain a central determinant of how quickly leading-edge compute capacity can expand, concentrating leverage in the equipment layer even as chipmakers add fabs.
- The parallel rollout of standard EUV volume and High NA systems points to a two-track upgrade cycle: customers must add current-generation capacity while deciding when to invest in a more expensive next-generation platform.
The trend: AI infrastructure spending is propagating upstream from chips and data centers into scarce semiconductor-production equipment, with lithography capacity becoming a binding part of the compute supply chain.