ASML expands chipmaking tools beyond EUV lithography to capture booming AI chips market

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ASML, the sole producer of extreme ultraviolet lithography machines, is diversifying into advanced packaging and larger chip production tools to meet AI demand. The $560-billion company plans to develop equipment for connecting specialized chips and expand beyond its current postage stamp-sized printing limit, aiming to capture more of the rapidly growing AI processor market over the next 10-15 years.

ASML Charts New Direction Beyond EUV Dominance

ASML is preparing to expand its chipmaking tools portfolio beyond EUV lithography as it targets the rapidly expanding AI chips market

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. The Dutch company, currently the only maker of extreme ultraviolet equipment critical for Taiwan Semiconductor Manufacturing Co and Intel in producing advanced AI processors, has unveiled ambitious plans to diversify into advanced packaging and larger chip production over the next 10 to 15 years

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. Chief Technology Officer Marco Pieters, who replaced Martin van den Brink in October after a roughly 40-year tenure, told Reuters the company is researching tools that can help connect multiple specialized chips—a process essential for building next-generation AI chips and the advanced memory that feeds them

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Source: Benzinga

Source: Benzinga

Advanced Packaging Becomes Strategic Priority

The shift toward advanced packaging represents a significant strategic pivot for ASML as semiconductor manufacturing evolves from flat, single-layer designs to complex "skyscraper" architectures

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. Designers such as Nvidia and Advanced Micro Devices are increasingly stacking chips vertically and horizontally with nanometer-sized connections to overcome the stamp-sized limit of current EUV machines

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. This 3D packaging approach enables faster calculations required for building large AI models and running chatbots such as OpenAI's ChatGPT

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. What was once a low-margin volume business has become increasingly lucrative as accuracy requirements intensify, with Taiwan Semiconductor Manufacturing Co already using sophisticated packaging technology to construct the most advanced Nvidia AI chips

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Source: TechSpot

Source: TechSpot

Next-Generation EUV Tools Reach Production Readiness

ASML's next-generation High-NA EUV tools have reached a critical milestone, with the company declaring them ready for mass production

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. These machines, costing roughly $400 million—twice the price of original EUV equipment—have processed 500,000 silicon wafers and achieved roughly 80% uptime, with plans to reach 90% by year's end

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. Pieters explained that the High-NA systems eliminate several costly and complex steps from semiconductor manufacturing, though chipmakers will need two to three years of testing before full integration

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. The development comes as current-generation EUV tools approach their technical limits for making complex AI chips, making these next-generation machines essential for the semiconductor industry to deliver AI chip roadmaps on time

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Expanding Beyond Current Size Limitations

ASML is exploring ways to expand the maximum size of chips it can print beyond its current boundary of roughly a postage stamp, which constrains processing speed

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. The company is examining additional scanner systems and lithography tools to accommodate AI chips that have significantly grown in size

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. Engineers are investigating optical and mechanical redesigns to expand the printable field, potentially enabling physically larger and more powerful chips

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. Last year, ASML disclosed the XT:260 scanning tool built specifically to help manufacture advanced memory chips used for AI and AI processors themselves, with engineers exploring additional machines "as we speak," according to Pieters

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AI Integration Across ASML Operations

Pieters, whose background is rooted in ASML's software development effort, revealed the company will deploy AI to accelerate its machines' control software and inspection processes as tools get faster

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. The lithography and packaging tools already collect vast streams of high-resolution optical data during every wafer pass, and improving analysis with machine learning could reduce downtime and increase yield

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. This integration of AI represents both a response to customer demand and an internal optimization strategy across ASML's forthcoming businesses and legacy efforts

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Market Position and Strategic Reorganization

The $560-billion-market cap company has seen shares gain more than 30% this year, with stock trading at roughly 40 times forward earnings compared to Nvidia, which trades at about 22 times earnings

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. In January, ASML reorganized its technology business to prioritize engineering roles versus management, signaling CEO Christophe Fouquet's commitment to technical innovation since his 2024 appointment

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. When Pieters examined chip manufacturers' plans—including memory makers such as SK Hynix—it became clear there would be demand for additional machines to help companies manufacture chips stacked on top of one another

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. The company's expertise in optics and silicon wafer handling will provide an edge in making future machines, with Pieters noting the planned equipment "will co-exist next to what we've been doing for the last 40 years"

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Source: Reuters

Source: Reuters

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