ASML, the global leader in photolithography systems, recently announced that its highly anticipated next-generation High-NA (High Numerical Aperture) Extreme Ultraviolet (EUV) lithography equipment is ready and will soon be delivered to chip manufacturers for mass production. This milestone progress is expected to inject new momentum into fields like artificial intelligence that rely on advanced chips.
ASML is the world’s sole manufacturer of commercial EUV lithography machines, making its equipment indispensable for producing cutting-edge chips. During a pre-event on Wednesday, the company’s Chief Technology Officer, Marco Pieters, revealed that official data would be released the following day, confirming the equipment has technically reached maturity. This undoubtedly sends a clear signal to chip manufacturers like TSMC and Intel, who have been evaluating its economics and application scenarios.
With the rapid development of AI technology, the current generation of EUV equipment is gradually approaching its physical limits when manufacturing complex AI chips required by companies such as NVIDIA. To continuously improve chip performance and reduce power consumption—meeting the stringent demands of applications like ChatGPT and future AI chip development roadmaps—introducing new-generation manufacturing equipment is imperative. ASML’s next-generation High-NA EUV tool is therefore seen as a critical link in driving the AI industry forward.
However, the cost of advanced technology is equally staggering. It is reported that each new system costs approximately $400 million, double the price of the previous generation EUV machine. To demonstrate its value, ASML disclosed a series of key performance indicators: the data shows that downtime for the new EUV equipment has been significantly reduced, it has successfully processed over 500,000 silicon wafers, and it can print the ultra-high-precision patterns that form chip circuitry. The achievement of these three core data points collectively proves the equipment is ready for commercial production.
“I think we are at a critical point where we can look at the completed learning cycle,” Pieters said, referring to the intensive testing customers have performed on the new machines. Although the technical issues with the machine itself have largely been resolved, integrating this cutting-edge technology into existing high-volume manufacturing lines will still require chipmakers to spend two to three years on thorough testing and process development. Pieters added, “They already have all the necessary knowledge to validate these tools.” Currently, the system’s uptime is around 80%, and ASML plans to increase it to 90% by the end of the year to boost customer confidence and promote the adoption of a single-step High-NA process, replacing the multi-step complex procedures required by older equipment.
Looking back, the wave of AI has already brought significant gains to ASML, with its stock price rising over 160% in the past five years and repeatedly hitting record highs. As a crucial link in the AI supply chain, ASML, leveraging its monopoly in lithography technology, not only possesses strong pricing power but also continues to drive innovation. For example, the company recently announced new technology expected to increase chip output per hour by 50% by the end of this decade, further reducing production costs.
Looking ahead, demand for ASML’s equipment is expected to grow continually, driven by a wave of new chip factory construction worldwide. Some analysts believe that, thanks to its exceptional operating margin, ASML’s revenue could double over the next five years, growing from $37 billion over the past twelve months to $75 billion. Nevertheless, given its current market capitalization of approximately $580 billion, market expectations for its future growth appear already quite rich, suggesting investors may need to carefully evaluate timing when considering it for their portfolios.
