On May 26, 2026, reporting from Amsterdam highlighted that hedge fund Coatue Management disclosed a roughly $655.4 million stake in ASML, while UBS raised its price target to €1,900 and named it its top European semiconductor pick. The moves reflect expectations that ASML’s EUV tools will remain a critical bottleneck for AI chips as demand pushes the chip market toward $1.5 trillion by 2030.
This article aggregates reporting from 2 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
If Micron is the memory bet on AGI, ASML is the tooling bet. This story underlines that every meaningful roadmap for larger, more efficient AI models runs through ASML’s extreme ultraviolet lithography lines. UBS explicitly frames ASML as an "AI infrastructure" play, not just a cyclical equipment vendor, and Coatue is willing to put more than half a billion dollars behind that thesis.([ts2.tech](https://ts2.tech/en/asml-draws-fresh-attention-from-wall-street-in-ai-push/))
For the AGI race, the key detail is not just that ASML sells into Nvidia’s ecosystem, but that its highest‑NA EUV tools will determine how quickly we can shrink features, pack more compute into a die, and keep energy per FLOP under control. CEO Christophe Fouquet’s comment that AI demand is making the market “supply‑limited” suggests that the constraint on frontier‑model scaling may soon be how fast ASML can ship and install these machines, not how much capex hyperscalers are willing to throw at GPUs. Export‑control friction around China only sharpens that bottleneck by limiting who can buy the very latest tools.([ts2.tech](https://ts2.tech/en/asml-draws-fresh-attention-from-wall-street-in-ai-push/?utm_source=openai))
The upshot: ASML has effectively become a single point of industrial leverage in the race to build denser, cheaper AI compute at scale.



