ASML, the Dutch semiconductor equipment manufacturer, has warned that demand for its advanced chipmaking machines will exceed its planned supply in both 2027 and 2028 as artificial intelligence investment accelerates worldwide. The company said customers are increasing their equipment requirements, with some already expressing interest in placing orders for delivery as far ahead as 2029 and 2030. ASML is now investigating ways to expand production capacity beyond its previously announced plans.
The warning came alongside strong third-quarter 2026 financial results and an improved revenue outlook. ASML reported net sales of €11.7 billion for the quarter and raised its full-year sales forecast to €44 billion–€45 billion. The company’s outlook offers another indication that AI infrastructure spending remains strong, even as investors debate how long the current investment cycle can continue. However, the shortage concerns semiconductor manufacturing equipment, and it does not automatically mean every type of chip or AI service will remain undersupplied.
Key Takeaways
- Supply shortfall through 2028: ASML expects its currently planned equipment supply to fall short of customer demand in 2027 and 2028.
- Orders extending into 2030: Some customers are already considering orders for equipment needed in 2029 and 2030.
- Production expansion under review: ASML is investigating ways to increase its 2028 capacity beyond its previously communicated plans.
- Revenue outlook raised: The company now expects 2026 net sales of €44 billion–€45 billion.
- Strong third-quarter performance: Net sales increased 55% year over year to €11.7 billion, while net income rose to approximately €5 billion.
- AI infrastructure remains a major driver: Chipmakers are accelerating expansion plans to meet demand for advanced processors and memory.
- Equipment bottlenecks matter: Limited availability of sophisticated manufacturing machines can delay the expansion of semiconductor production capacity.
Why ASML Says AI Demand Will Exceed Supply
The rapid expansion of AI infrastructure is increasing demand for advanced semiconductors. Technology companies are investing in data centers, AI accelerators and supporting infrastructure to train and operate increasingly capable AI systems.
Those chips cannot be manufactured without specialized equipment. Semiconductor fabrication plants require complex machines to create and pattern the microscopic structures that form modern processors and memory devices. Expanding production therefore depends not only on capital investment but also on securing the equipment needed to build and operate new manufacturing capacity.
ASML is a particularly important supplier because it is the only manufacturer of extreme ultraviolet lithography systems used to produce chips at the most advanced process nodes. These machines use extremely short-wavelength light to print intricate patterns onto silicon wafers.
In its October 14 update, ASML said its customers were raising short- and medium-term equipment demand forecasts because of their expectations for AI-related investment. Chief Executive Christophe Fouquet said the company’s current supply plans would not fully satisfy customer demand in either 2027 or 2028.
The company had already communicated plans to increase capacity for selected advanced lithography systems by 30% in 2027 and was investigating a further increase for 2028. The latest warning indicates that even those plans may not be sufficient.
Chipmakers Are Planning Equipment Orders Years in Advance
One of the clearest signals of demand is the period covered by customer discussions. ASML said some customers are expressing interest in equipment orders for 2029 and even 2030.
Such early planning suggests that major chipmakers are thinking beyond immediate production requirements. Companies must coordinate factory construction, equipment installation, process qualification and production ramp-ups years before a new facility reaches its intended output.
The customers involved include Taiwan Semiconductor Manufacturing Company (TSMC) and Intel, both of which operate major semiconductor manufacturing businesses. Samsung is another important participant in the broader advanced-chip manufacturing ecosystem.
These companies need additional production capacity to respond to customer requirements. However, ordering equipment does not instantly translate into more chips. Machines must be manufactured and delivered, installed in suitable facilities, integrated into production processes and qualified before they can contribute to commercial output.
This creates a potential bottleneck: chipmakers may have the capital and customer demand to expand, yet still face delays if critical equipment is unavailable when required.
What Makes ASML’s Lithography Machines So Important?
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Lithography is one of the central processes in semiconductor manufacturing. It transfers extremely fine patterns onto silicon wafers, helping define the transistors and other structures that make chips function.
ASML supplies several types of lithography systems, including extreme ultraviolet (EUV) machines used for advanced chip production. These systems are extraordinarily complex, combining precision optics, specialized light sources, advanced software and tightly controlled manufacturing processes.
Their complexity makes production difficult to scale quickly. Increasing output requires coordination with suppliers, skilled workers, component manufacturers and customers that must prepare facilities to receive and use the equipment.
Extreme ultraviolet lithography
EUV systems use light with a wavelength of 13.5 nanometers to produce extremely fine patterns. They are essential to manufacturing many of the most advanced logic chips, including processors used in AI computing.
Because these systems are difficult to develop and manufacture, ASML’s production capacity is a strategic constraint for the semiconductor industry.
High-NA EUV systems
ASML is also developing its next-generation High Numerical Aperture EUV technology, commonly called High-NA EUV. The technology is designed to enable more advanced patterning capabilities and support future chip manufacturing requirements.
Fouquet said TSMC had effectively confirmed plans to introduce High-NA systems into high-volume manufacturing around 2030, joining Samsung and Intel among customers pursuing the technology.
The transition will take time. High-NA machines must be integrated into manufacturing processes, and customers must determine how they fit into their future production strategies.
ASML Raises Its 2026 Revenue Forecast
ASML’s supply warning came with stronger financial guidance, reflecting robust demand for semiconductor manufacturing equipment.
| Financial metric | Latest figure |
|---|---|
| Q3 2026 net sales | €11.7 billion |
| Year-over-year sales growth | 55% |
| Q3 2026 net income | Approximately €5.0 billion |
| Year-over-year net income growth | Approximately 134% |
| Updated 2026 net sales forecast | €44 billion–€45 billion |
| Q4 2026 net sales guidance | €14.2 billion–€15.2 billion |
| Q4 2026 gross margin guidance | Approximately 57% |
Source: ASML’s third-quarter 2026 financial results. Figures are rounded where appropriate.
Net income also included an approximately €500 million benefit from the revaluation of ASML’s investment in French AI company Mistral. That contribution is important when assessing the quality of earnings growth because it was not solely the result of selling additional chipmaking equipment.
The company said it expects a gross margin of around 56% for the full year. Its improved revenue outlook reflects continued customer investment and the strength of its order pipeline.
ASML also reported that it had completed a new round of price negotiations with customers. The impact of those changes is expected to become visible partly in its 2027 results, potentially supporting revenue even as the company works to expand output.
How the Supply Shortage Could Affect the Semiconductor Industry
A shortage of chipmaking equipment can affect several parts of the semiconductor supply chain.
1. Advanced chip production
Foundries such as TSMC need specialized equipment to expand capacity for advanced processors. If machines arrive later than planned, the timeline for bringing new production lines online can be delayed.
This matters to AI chip designers because their ability to supply customers depends on manufacturing partners having sufficient capacity.
2. AI accelerators and data centers
AI infrastructure relies on large numbers of processors, memory devices and supporting components. Equipment shortages can constrain the pace at which semiconductor manufacturers expand production, potentially affecting how quickly additional chips reach the market.
However, the final impact depends on the type of equipment in short supply, existing factory capacity, manufacturing yields and the availability of other components. A lithography bottleneck does not automatically translate into a shortage of every AI chip.
3. Semiconductor investment
Strong equipment demand can encourage manufacturers to commit to additional capital expenditure. It may also reinforce the importance of securing production capacity well in advance.
At the same time, manufacturers must avoid expanding too aggressively. Semiconductor markets are cyclical, and demand forecasts can change before a new factory or production line becomes fully operational.
4. The wider technology sector
ASML’s outlook is closely watched because it provides an early indication of investment plans across the semiconductor industry. Sustained equipment demand can support expectations for continued investment in AI infrastructure.
Nevertheless, a strong outlook from an equipment supplier does not guarantee that every chipmaker or AI-related company will deliver similar financial performance. Individual businesses face different competitive pressures, customer exposures and capital requirements.
Can ASML Increase Production Fast Enough?
ASML is investigating ways to expand its 2028 capacity beyond the 30% increase previously communicated for selected systems. It is also looking at ways to increase the productivity of machines already installed at customer facilities.
Upgrading existing equipment can help customers obtain more wafer-processing capacity without relying exclusively on the delivery of entirely new systems. This can be particularly useful when factory space, installation schedules or machine availability limit expansion.
However, increasing production at ASML is not as simple as opening another assembly line. Its machines rely on highly specialized components and complex manufacturing processes. Suppliers must also expand capacity, and customers need the facilities and technical expertise to install and operate the systems.
The company must therefore balance higher output with quality, delivery schedules and the long-term development of its next-generation technology.
The demand outlook also carries risks. If AI infrastructure investment slows, chipmakers could postpone equipment orders or reconsider expansion plans. Because manufacturing equipment requires long lead times, changes in demand can have financial consequences even after production capacity has been committed.
What the ASML Warning Means for India
India is expanding its semiconductor ambitions through investments in chip assembly, testing, packaging and manufacturing projects. Global equipment availability is relevant to these plans, although the direct effect will depend on the technology and equipment required by each facility.
The shortage described by ASML primarily concerns advanced chipmaking equipment. Not every semiconductor facility requires the same lithography systems, and assembly or packaging plants have different equipment requirements from advanced wafer fabrication facilities.
For India, the broader lesson is that building a semiconductor ecosystem requires more than announcing factory investments. Companies need access to specialized equipment, reliable suppliers, skilled engineers, supporting infrastructure and customers willing to commit to production.
A sustained global equipment shortage could make project scheduling more complicated for some manufacturers. It could also increase the importance of early procurement planning and partnerships with established equipment suppliers.
India’s opportunity will depend on matching its investments to the parts of the semiconductor value chain where it can build competitive capabilities.
The Bigger Picture
ASML’s warning highlights a physical constraint behind the AI investment boom. Demand for computing power can rise quickly, but the manufacturing capacity required to produce advanced chips takes years to build and equip. A shortage of lithography systems can therefore influence how quickly the semiconductor industry responds to demand.
The company’s financial results suggest that chipmakers are continuing to invest heavily, but the outlook should not be interpreted as proof that the AI boom will continue indefinitely. Equipment orders provide visibility into customer plans, while the eventual return on AI infrastructure investment will depend on demand, utilization, pricing and the productivity gains businesses achieve.
Looking Ahead
The next important signals will come from ASML’s order intake, its ability to expand production and the capital expenditure plans of major customers such as TSMC, Intel and Samsung. Any additional capacity commitments for 2028 or beyond could clarify how the company intends to address the shortfall. The pace of High-NA EUV adoption will also help determine how ASML’s next-generation equipment contributes to future growth.
For the semiconductor industry, the challenge is turning strong AI demand into sustainable manufacturing capacity without creating excessive supply later in the cycle. ASML’s warning indicates that equipment availability will remain an important constraint over the next two years under its current plans. Whether that leads to continued strong growth will depend on how quickly suppliers expand output and whether customers’ AI investment plans hold up as new capacity comes online.
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