ASML's strong orders ease fears AI spending boom is running out of steam

If you are a chip manufacturer building AI hardware, you will face longer lead times for essential lithography equipment.

ASML Holding NV, a Dutch semiconductor equipment manufacturer, announced record third-quarter sales of €11.7 billion and a net income of €5 billion, a significant increase from the previous quarter. The company also saw its gross margin rise to 57.5%. ASML raised concerns that its planned production capacity will not meet the surging customer demand for its equipment in 2027 and 2028. This demand is primarily fueled by extensive investments in artificial intelligence, with some customers exploring orders for deliveries as far out as 2029 and 2030. Consequently, ASML is investigating options to increase production capacity beyond its current expansion plans to address the projected shortfall for these years. The company also reported selling 113 new lithography systems in the quarter, up from 86 in the prior period. ASML's order book has seen consistent strengthening throughout 2026.

The robust order book and ASML's capacity concerns signal that the AI hardware build-out is not only continuing but accelerating beyond even the most optimistic projections. This indicates a sustained, high level of investment in AI infrastructure by major tech players, suggesting the current boom is deeper and potentially longer-lasting than previously thought. The demand for ASML's advanced lithography machines, critical for producing cutting-edge chips, is outstripping the company's ability to scale production, leading to extended lead times for customers.

This situation directly impacts chipmakers reliant on ASML's technology, potentially delaying their product roadmaps and increasing their capital expenditure timelines. For the broader semiconductor industry, it highlights bottlenecks in the supply chain for advanced manufacturing equipment. Investors and analysts will be closely watching ASML's efforts to expand capacity and the potential for alternative solutions or increased demand for older technology nodes as customers seek to mitigate these constraints.