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The Physics Behind the Quadruple Axel, the Most Difficult Jump in Figure Skating

The Physics Behind the Quadruple Axel, the Most Difficult Jump in Figure Skating

In figure skating, the quadruple axel is generally considered the most difficult jump. Until 2022, when US skater Ilia Malinin—currently riding high as the “Quad God” at the 2026 Winter Olympics—started doing them, they seemed impossible. Landing one, naturally, can give an athlete a higher score. But for skaters who aren’t generational talents like Malinin, grasping exactly how to pull off a quadruple axel can be tricky. But physics can offer some clues.

In 2024, the journal Sports Biomechanics published a study by Toin University researcher Seiji Hirosawa that brought science a little closer to understanding how quad axels work. One of the biggest factors? Getting high. Like 20 inches off the ground high.

In the current scoring system of figure skating competitions, the jury, which in the case of the Milano Cortina Games consists of two technical specialists and a technical controller, assigns a score to each technical element, namely jumps, spins, and steps. However, the scores for the more difficult jumps, such as triple or quadruple jumps, are higher than those for the other technical elements, so skaters must perform them correctly in order to win competitions.

Generally speaking the axel is the most technically complex of the jumps. There are three main types, each distinguished by their takeoffs: toe, blade, or edge. Most are named after the first person to do them; the axel is named after Norwegian skater Axel Paulsen. It is also the only one that involves a forward start, which leads the athlete to perform a half-turn more than other jumps. A simple axel, therefore, requires one and a half rotations to complete, while a quadruple axel requires four and a half rotations in the air.

To shed light on the specific kinematic strategies used by athletes to perform the quadruple axel jump, Hirosawa’s study focused on footage of two skaters who attempted this jump in competition. Using data from what’s known as the Ice Scope tracking system, researchers analyzed several parameters: vertical height, horizontal distance, and skating speed before takeoff and after landing.

Contrary to previous biomechanical studies, which suggested that jump height does not change significantly, Hirosawa’s study found that increasing jump height is crucial to successfully performing a quadruple axel jump. Both skaters, in fact, aimed to achieve significantly greater vertical heights in their attempts to perform this jump than in the triple axel.

“This suggests a strategic shift toward increasing vertical height to master 4A [quadruple axel] jumps, in contrast to previous biomechanical research that did not emphasize vertical height,” the study concluded.

Increased jump height, Hirosawa adds, provides increased flight time by allowing a large number of rotations around the longitudinal axis of the body. Short version: jump higher, turn more. “The results of this study provide valuable insights into the biomechanics of quadruple and triple axel jumps, update existing theories of figure skating research, and provide insights into training strategies for managing complex jumps,” the study concludes.

Easier said than done—unless you’re Ilia Malinin.

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#Physics #Quadruple #Axel #Difficult #Jump #Figure #Skating

In addition to the Gemini upgrade, Google also announced improvements to the camera experience, new automation capabilities, and two public previews: Ask Home on Web and a new notification feature. Ask Home on Web will allow Google Home users to manage their smart home from a computer, including searching camera history with natural language, checking on devices, and creating automations. Google is also releasing a public preview for “improved and expanded notifications” that include “quick action” buttons that can be used for device control directly in the notification.

#Google #Homes #Gemini #handle #complicated #requestsAI,Google,News,Smart Home,Tech">Google Home’s Gemini AI can handle more complicated requestsGoogle Home users can now ask Gemini to complete more complex, multi-step tasks and combine multiple tasks in a single command. Google has updated Gemini for Home to Gemini 3.1, which it says will improve the smart home assistant’s ability to interpret and act on requests. The upgrade will also make Gemini for Home better at handling recurring and all-day events and allow users to “move around” upcoming events.In addition to the Gemini upgrade, Google also announced improvements to the camera experience, new automation capabilities, and two public previews: Ask Home on Web and a new notification feature. Ask Home on Web will allow Google Home users to manage their smart home from a computer, including searching camera history with natural language, checking on devices, and creating automations. Google is also releasing a public preview for “improved and expanded notifications” that include “quick action” buttons that can be used for device control directly in the notification.#Google #Homes #Gemini #handle #complicated #requestsAI,Google,News,Smart Home,Tech

updated Gemini for Home to Gemini 3.1, which it says will improve the smart home assistant’s ability to interpret and act on requests. The upgrade will also make Gemini for Home better at handling recurring and all-day events and allow users to “move around” upcoming events.

In addition to the Gemini upgrade, Google also announced improvements to the camera experience, new automation capabilities, and two public previews: Ask Home on Web and a new notification feature. Ask Home on Web will allow Google Home users to manage their smart home from a computer, including searching camera history with natural language, checking on devices, and creating automations. Google is also releasing a public preview for “improved and expanded notifications” that include “quick action” buttons that can be used for device control directly in the notification.

#Google #Homes #Gemini #handle #complicated #requestsAI,Google,News,Smart Home,Tech">Google Home’s Gemini AI can handle more complicated requests

Google Home users can now ask Gemini to complete more complex, multi-step tasks and combine multiple tasks in a single command. Google has updated Gemini for Home to Gemini 3.1, which it says will improve the smart home assistant’s ability to interpret and act on requests. The upgrade will also make Gemini for Home better at handling recurring and all-day events and allow users to “move around” upcoming events.

In addition to the Gemini upgrade, Google also announced improvements to the camera experience, new automation capabilities, and two public previews: Ask Home on Web and a new notification feature. Ask Home on Web will allow Google Home users to manage their smart home from a computer, including searching camera history with natural language, checking on devices, and creating automations. Google is also releasing a public preview for “improved and expanded notifications” that include “quick action” buttons that can be used for device control directly in the notification.

#Google #Homes #Gemini #handle #complicated #requestsAI,Google,News,Smart Home,Tech
Every time you use AI, you are, in some small way, depending on a 42-year-old, 44,000-person Dutch company that spends €4.5 billion each year to advance its technology.

ASML, headquartered in the Netherlands, makes the machines that make the chips that make AI possible. More specifically, it makes the only machines in the world capable of printing the microscopic patterns on silicon wafers that define the most advanced semiconductors — a process called extreme ultraviolet lithography, or EUV. The machines are roughly the size of a school bus, take months to assemble, involve hundreds of suppliers, and cost anywhere from $200 million to upwards of $400 million apiece depending on the generation (prices that give even ASML’s biggest customers pause occasionally).

That monopoly has made ASML the most valuable company in Europe, worth over $530 billion. And with the four largest American tech companies — Microsoft, Meta, Amazon and Google — committing more than $600 billion in AI infrastructure spending this year alone, demand for ASML’s machines has surged to the point where the company has openly said the world won’t have enough chips for years.

All that demand has also made ASML a target. Substrate, a San Francisco startup founded by a protégé of Peter Thiel, has raised more than $100 million and been valued at over $1 billion on the claim that it can build a rival lithography machine. Separately, there have been reports that former ASML engineers in China have partly reverse-engineered the technology, a prospect with enormous geopolitical implications.

Christophe Fouquet, who became ASML’s CEO in 2024 after more than a decade at the company, sat down with this editor on the rooftop deck of his Beverly Hills hotel Tuesday morning ahead of his appearance at the Milken Institute Global Conference. Dressed in a blue suit and white shirt, he was relaxed — even when the conversation turned to the rivals.

This interview has been lightly edited for length and clarity.

TC: Did you see the AI explosion coming?

Techcrunch event

San Francisco, CA | October 13-15, 2026

CF: No, not at all. We worked very hard, but not with the idea that this would come. You went from a concept — something people thought would eventually arrive — to ChatGPT, which was really the first good example of what AI could do. And now I think we look at AI as the next revolution, not only industrial but societal. Did I see it coming? No. Sitting in the middle of it every day, sometimes we wake up in the morning and still check that what is happening is really happening.

The big question everyone has is whether the supply chain can keep pace with demand. Can it?

The demand is such that the market overall will be supply-limited for quite a bit. Right now, the biggest bottleneck seems to be in chip manufacturing. We, as an equipment supplier, follow our customers, and so far we’ve followed them pretty well — but we know we have to step up our entire supply chain and capacity. If you talk to the hyperscalers, I think they will tell you that for the next two, three, even five years, they’re not going to get enough chips.

TSMC made news recently saying your latest machines are too expensive. How do you respond?

An EUV system, if you look at the price, is going to be more expensive than a low-NA system, but the cost of making a wafer with this tool on some advanced layers will be cheaper. We can get 20%, 30% cost reduction.

[Editors note: both machines Fouquet is referring to here are EUV machines — the same fundamental technology. NA stands for numerical aperture, a measure of how finely a machine can focus light onto a chip. Low-NA EUV is the current generation; high-NA EUV is ASML’s newest generation, capable of printing even finer patterns but carrying a price tag of $350 million or more apiece. Fouquet is arguing that even though the new machine costs more, it produces chips more cheaply.]

I get a lot of questions about whether it’s going to be this month or next month or the month after. And I usually say it doesn’t really matter, because we designed high-NA for the next 10, 20 years. You can go back to the press from 2016, 2017, and you’ll find the same quotes — low-NA EUV was very pricey. We know what happened after that. The same will happen with high-NA.

There’s a startup called Substrate, backed by Peter Thiel, claiming it can build a rival lithography machine. What do you think of it?

Wanting to have it and having it — that’s still a huge difference. The challenges of lithography are many. Being able to make an image is a starting point, but you need to make that image in very high quantity, at very low cost, at high speed, and with nanometer accuracy. I always say the only reason ASML could build an EUV machine is because 80% of it already existed, based on previous knowledge and products built over time. We had to solve one problem — getting EUV light — and that alone took 20 years. When you start from scratch, the challenge is enormous. I’ve seen a lot of claims. I’ve seen a few pictures. But we had our first EUV picture 30 years ago, and we still needed 20 more years of hard work to turn it into a manufacturing system.

What about xLight, a laser startup partly backed by the U.S. government that wants to work with you?

xLight is focusing on one element of our EUV machine — the source that creates the light. The source we have can be extended for many years to come, and we know how to scale it. What xLight is doing is a new source that still has to be built and proven. The only question is whether it provides a performance or cost advantage over what we have. I think the jury is still out. We are working with them so they can demonstrate their technology — we feel that’s a responsibility on our side. But it’s still a very long journey.

There are also reports that former ASML engineers in China have reverse-engineered your machines.

To reverse-engineer anything, you first need to have the machine. And there is no EUV machine in China — we never shipped any tools there. All the tools we have shipped, we know where they are. They’re either in use with customers, and we track those, or they’ve been dismantled and came back to us. The idea that one of our systems is in China is simply wrong. And because our EUV technology has never been exported there, we also have no people in China trained on EUV.

Very early on, when restrictions came in, we created a complete separation within the company between those who can access EUV technology, documents and training, and those who cannot. Our team in China sits on the other side of that line. The facts point to very little, if any, progress at all. It’s hard for people to accept that because access to this technology is so important.

On export controls more broadly — Jensen Huang was here last night arguing that companies should sell globally, that more corporate revenue means more tax dollars for a company’s home country. He also said the important thing is to keep the best and latest closer to home. Do you agree?

I think he’s totally right. What he adds — and I think this is what Nvidia has done — is that you can keep a technological advantage by maintaining a generation gap in what you sell. Nvidia sells a few generations back, and that lets them find the balance between still doing business and not handing a strong competitive advantage to countries where you won’t sell the latest. We believe the same approach should apply to our products. Today we ship tools to China — allowed by export controls — but it’s a tool we first shipped in 2015. If you apply Jensen’s philosophy to our situation, Nvidia is working with roughly an eight-generation gap. We’re looking at two or three. There’s room for rationalization — finding the right balance between not doing business at all, losing a major opportunity, and strongly inviting others to compete with you.

How do you assess where things stand with the current administration on all of this?

There is a good dialogue, which is very important. I think there’s a genuine understanding of what business needs, but there’s still the challenge of finding the right balance between all the different voices and interests. The dialogue is there, and we appreciate that. I’ve been in Washington many times. At least the discussion is happening. But it’s a very complex topic.

You don’t seem concerned about anyone short-cutting your technology.

People like to have the greatest technology, but they tend to forget what it took to build it. It’s been many years of work — not only at ASML but with our suppliers. Many different groups of people solving very difficult problems, and then one company bringing it all together using decades of lithography expertise to turn it into a manufacturing system. This is in no way easy. And I think that’s also our best protection. It’s simply what it took to put it together.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#ASML #CEO #Christophe #Fouquet #coming #TechCrunchASML,Christophe Fouquet,Jensen Huang,nvidia,TSMC">ASML CEO Christophe Fouquet: No one is coming for us | TechCrunch
Every time you use AI, you are, in some small way, depending on a 42-year-old, 44,000-person Dutch company that spends €4.5 billion each year to advance its technology.

ASML, headquartered in the Netherlands, makes the machines that make the chips that make AI possible. More specifically, it makes the only machines in the world capable of printing the microscopic patterns on silicon wafers that define the most advanced semiconductors — a process called extreme ultraviolet lithography, or EUV. The machines are roughly the size of a school bus, take months to assemble, involve hundreds of suppliers, and cost anywhere from 0 million to upwards of 0 million apiece depending on the generation (prices that give even ASML’s biggest customers pause occasionally).







That monopoly has made ASML the most valuable company in Europe, worth over 0 billion. And with the four largest American tech companies — Microsoft, Meta, Amazon and Google — committing more than 0 billion in AI infrastructure spending this year alone, demand for ASML’s machines has surged to the point where the company has openly said the world won’t have enough chips for years.

All that demand has also made ASML a target. Substrate, a San Francisco startup founded by a protégé of Peter Thiel, has raised more than 0 million and been valued at over  billion on the claim that it can build a rival lithography machine. Separately, there have been reports that former ASML engineers in China have partly reverse-engineered the technology, a prospect with enormous geopolitical implications.

Christophe Fouquet, who became ASML’s CEO in 2024 after more than a decade at the company, sat down with this editor on the rooftop deck of his Beverly Hills hotel Tuesday morning ahead of his appearance at the Milken Institute Global Conference. Dressed in a blue suit and white shirt, he was relaxed — even when the conversation turned to the rivals.

This interview has been lightly edited for length and clarity.

TC: Did you see the AI explosion coming?

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


CF: No, not at all. We worked very hard, but not with the idea that this would come. You went from a concept — something people thought would eventually arrive — to ChatGPT, which was really the first good example of what AI could do. And now I think we look at AI as the next revolution, not only industrial but societal. Did I see it coming? No. Sitting in the middle of it every day, sometimes we wake up in the morning and still check that what is happening is really happening.

The big question everyone has is whether the supply chain can keep pace with demand. Can it?

The demand is such that the market overall will be supply-limited for quite a bit. Right now, the biggest bottleneck seems to be in chip manufacturing. We, as an equipment supplier, follow our customers, and so far we’ve followed them pretty well — but we know we have to step up our entire supply chain and capacity. If you talk to the hyperscalers, I think they will tell you that for the next two, three, even five years, they’re not going to get enough chips.







TSMC made news recently saying your latest machines are too expensive. How do you respond?

An EUV system, if you look at the price, is going to be more expensive than a low-NA system, but the cost of making a wafer with this tool on some advanced layers will be cheaper. We can get 20%, 30% cost reduction.

[Editors note: both machines Fouquet is referring to here are EUV machines — the same fundamental technology. NA stands for numerical aperture, a measure of how finely a machine can focus light onto a chip. Low-NA EUV is the current generation; high-NA EUV is ASML’s newest generation, capable of printing even finer patterns but carrying a price tag of 0 million or more apiece. Fouquet is arguing that even though the new machine costs more, it produces chips more cheaply.]

I get a lot of questions about whether it’s going to be this month or next month or the month after. And I usually say it doesn’t really matter, because we designed high-NA for the next 10, 20 years. You can go back to the press from 2016, 2017, and you’ll find the same quotes — low-NA EUV was very pricey. We know what happened after that. The same will happen with high-NA.

There’s a startup called Substrate, backed by Peter Thiel, claiming it can build a rival lithography machine. What do you think of it?

Wanting to have it and having it — that’s still a huge difference. The challenges of lithography are many. Being able to make an image is a starting point, but you need to make that image in very high quantity, at very low cost, at high speed, and with nanometer accuracy. I always say the only reason ASML could build an EUV machine is because 80% of it already existed, based on previous knowledge and products built over time. We had to solve one problem — getting EUV light — and that alone took 20 years. When you start from scratch, the challenge is enormous. I’ve seen a lot of claims. I’ve seen a few pictures. But we had our first EUV picture 30 years ago, and we still needed 20 more years of hard work to turn it into a manufacturing system.

What about xLight, a laser startup partly backed by the U.S. government that wants to work with you?

xLight is focusing on one element of our EUV machine — the source that creates the light. The source we have can be extended for many years to come, and we know how to scale it. What xLight is doing is a new source that still has to be built and proven. The only question is whether it provides a performance or cost advantage over what we have. I think the jury is still out. We are working with them so they can demonstrate their technology — we feel that’s a responsibility on our side. But it’s still a very long journey.







There are also reports that former ASML engineers in China have reverse-engineered your machines.

To reverse-engineer anything, you first need to have the machine. And there is no EUV machine in China — we never shipped any tools there. All the tools we have shipped, we know where they are. They’re either in use with customers, and we track those, or they’ve been dismantled and came back to us. The idea that one of our systems is in China is simply wrong. And because our EUV technology has never been exported there, we also have no people in China trained on EUV. 

Very early on, when restrictions came in, we created a complete separation within the company between those who can access EUV technology, documents and training, and those who cannot. Our team in China sits on the other side of that line. The facts point to very little, if any, progress at all. It’s hard for people to accept that because access to this technology is so important.

On export controls more broadly — Jensen Huang was here last night arguing that companies should sell globally, that more corporate revenue means more tax dollars for a company’s home country. He also said the important thing is to keep the best and latest closer to home. Do you agree?

I think he’s totally right. What he adds — and I think this is what Nvidia has done — is that you can keep a technological advantage by maintaining a generation gap in what you sell. Nvidia sells a few generations back, and that lets them find the balance between still doing business and not handing a strong competitive advantage to countries where you won’t sell the latest. We believe the same approach should apply to our products. Today we ship tools to China — allowed by export controls — but it’s a tool we first shipped in 2015. If you apply Jensen’s philosophy to our situation, Nvidia is working with roughly an eight-generation gap. We’re looking at two or three. There’s room for rationalization — finding the right balance between not doing business at all, losing a major opportunity, and strongly inviting others to compete with you.

How do you assess where things stand with the current administration on all of this?

There is a good dialogue, which is very important. I think there’s a genuine understanding of what business needs, but there’s still the challenge of finding the right balance between all the different voices and interests. The dialogue is there, and we appreciate that. I’ve been in Washington many times. At least the discussion is happening. But it’s a very complex topic.

You don’t seem concerned about anyone short-cutting your technology.







People like to have the greatest technology, but they tend to forget what it took to build it. It’s been many years of work — not only at ASML but with our suppliers. Many different groups of people solving very difficult problems, and then one company bringing it all together using decades of lithography expertise to turn it into a manufacturing system. This is in no way easy. And I think that’s also our best protection. It’s simply what it took to put it together.


When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#ASML #CEO #Christophe #Fouquet #coming #TechCrunchASML,Christophe Fouquet,Jensen Huang,nvidia,TSMC

biggest customers pause occasionally).

That monopoly has made ASML the most valuable company in Europe, worth over $530 billion. And with the four largest American tech companies — Microsoft, Meta, Amazon and Google — committing more than $600 billion in AI infrastructure spending this year alone, demand for ASML’s machines has surged to the point where the company has openly said the world won’t have enough chips for years.

All that demand has also made ASML a target. Substrate, a San Francisco startup founded by a protégé of Peter Thiel, has raised more than $100 million and been valued at over $1 billion on the claim that it can build a rival lithography machine. Separately, there have been reports that former ASML engineers in China have partly reverse-engineered the technology, a prospect with enormous geopolitical implications.

Christophe Fouquet, who became ASML’s CEO in 2024 after more than a decade at the company, sat down with this editor on the rooftop deck of his Beverly Hills hotel Tuesday morning ahead of his appearance at the Milken Institute Global Conference. Dressed in a blue suit and white shirt, he was relaxed — even when the conversation turned to the rivals.

This interview has been lightly edited for length and clarity.

TC: Did you see the AI explosion coming?

Techcrunch event

San Francisco, CA | October 13-15, 2026

CF: No, not at all. We worked very hard, but not with the idea that this would come. You went from a concept — something people thought would eventually arrive — to ChatGPT, which was really the first good example of what AI could do. And now I think we look at AI as the next revolution, not only industrial but societal. Did I see it coming? No. Sitting in the middle of it every day, sometimes we wake up in the morning and still check that what is happening is really happening.

The big question everyone has is whether the supply chain can keep pace with demand. Can it?

The demand is such that the market overall will be supply-limited for quite a bit. Right now, the biggest bottleneck seems to be in chip manufacturing. We, as an equipment supplier, follow our customers, and so far we’ve followed them pretty well — but we know we have to step up our entire supply chain and capacity. If you talk to the hyperscalers, I think they will tell you that for the next two, three, even five years, they’re not going to get enough chips.

TSMC made news recently saying your latest machines are too expensive. How do you respond?

An EUV system, if you look at the price, is going to be more expensive than a low-NA system, but the cost of making a wafer with this tool on some advanced layers will be cheaper. We can get 20%, 30% cost reduction.

[Editors note: both machines Fouquet is referring to here are EUV machines — the same fundamental technology. NA stands for numerical aperture, a measure of how finely a machine can focus light onto a chip. Low-NA EUV is the current generation; high-NA EUV is ASML’s newest generation, capable of printing even finer patterns but carrying a price tag of $350 million or more apiece. Fouquet is arguing that even though the new machine costs more, it produces chips more cheaply.]

I get a lot of questions about whether it’s going to be this month or next month or the month after. And I usually say it doesn’t really matter, because we designed high-NA for the next 10, 20 years. You can go back to the press from 2016, 2017, and you’ll find the same quotes — low-NA EUV was very pricey. We know what happened after that. The same will happen with high-NA.

There’s a startup called Substrate, backed by Peter Thiel, claiming it can build a rival lithography machine. What do you think of it?

Wanting to have it and having it — that’s still a huge difference. The challenges of lithography are many. Being able to make an image is a starting point, but you need to make that image in very high quantity, at very low cost, at high speed, and with nanometer accuracy. I always say the only reason ASML could build an EUV machine is because 80% of it already existed, based on previous knowledge and products built over time. We had to solve one problem — getting EUV light — and that alone took 20 years. When you start from scratch, the challenge is enormous. I’ve seen a lot of claims. I’ve seen a few pictures. But we had our first EUV picture 30 years ago, and we still needed 20 more years of hard work to turn it into a manufacturing system.

What about xLight, a laser startup partly backed by the U.S. government that wants to work with you?

xLight is focusing on one element of our EUV machine — the source that creates the light. The source we have can be extended for many years to come, and we know how to scale it. What xLight is doing is a new source that still has to be built and proven. The only question is whether it provides a performance or cost advantage over what we have. I think the jury is still out. We are working with them so they can demonstrate their technology — we feel that’s a responsibility on our side. But it’s still a very long journey.

There are also reports that former ASML engineers in China have reverse-engineered your machines.

To reverse-engineer anything, you first need to have the machine. And there is no EUV machine in China — we never shipped any tools there. All the tools we have shipped, we know where they are. They’re either in use with customers, and we track those, or they’ve been dismantled and came back to us. The idea that one of our systems is in China is simply wrong. And because our EUV technology has never been exported there, we also have no people in China trained on EUV.

Very early on, when restrictions came in, we created a complete separation within the company between those who can access EUV technology, documents and training, and those who cannot. Our team in China sits on the other side of that line. The facts point to very little, if any, progress at all. It’s hard for people to accept that because access to this technology is so important.

On export controls more broadly — Jensen Huang was here last night arguing that companies should sell globally, that more corporate revenue means more tax dollars for a company’s home country. He also said the important thing is to keep the best and latest closer to home. Do you agree?

I think he’s totally right. What he adds — and I think this is what Nvidia has done — is that you can keep a technological advantage by maintaining a generation gap in what you sell. Nvidia sells a few generations back, and that lets them find the balance between still doing business and not handing a strong competitive advantage to countries where you won’t sell the latest. We believe the same approach should apply to our products. Today we ship tools to China — allowed by export controls — but it’s a tool we first shipped in 2015. If you apply Jensen’s philosophy to our situation, Nvidia is working with roughly an eight-generation gap. We’re looking at two or three. There’s room for rationalization — finding the right balance between not doing business at all, losing a major opportunity, and strongly inviting others to compete with you.

How do you assess where things stand with the current administration on all of this?

There is a good dialogue, which is very important. I think there’s a genuine understanding of what business needs, but there’s still the challenge of finding the right balance between all the different voices and interests. The dialogue is there, and we appreciate that. I’ve been in Washington many times. At least the discussion is happening. But it’s a very complex topic.

You don’t seem concerned about anyone short-cutting your technology.

People like to have the greatest technology, but they tend to forget what it took to build it. It’s been many years of work — not only at ASML but with our suppliers. Many different groups of people solving very difficult problems, and then one company bringing it all together using decades of lithography expertise to turn it into a manufacturing system. This is in no way easy. And I think that’s also our best protection. It’s simply what it took to put it together.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#ASML #CEO #Christophe #Fouquet #coming #TechCrunchASML,Christophe Fouquet,Jensen Huang,nvidia,TSMC">ASML CEO Christophe Fouquet: No one is coming for us | TechCrunch

Every time you use AI, you are, in some small way, depending on a 42-year-old, 44,000-person Dutch company that spends €4.5 billion each year to advance its technology.

ASML, headquartered in the Netherlands, makes the machines that make the chips that make AI possible. More specifically, it makes the only machines in the world capable of printing the microscopic patterns on silicon wafers that define the most advanced semiconductors — a process called extreme ultraviolet lithography, or EUV. The machines are roughly the size of a school bus, take months to assemble, involve hundreds of suppliers, and cost anywhere from $200 million to upwards of $400 million apiece depending on the generation (prices that give even ASML’s biggest customers pause occasionally).

That monopoly has made ASML the most valuable company in Europe, worth over $530 billion. And with the four largest American tech companies — Microsoft, Meta, Amazon and Google — committing more than $600 billion in AI infrastructure spending this year alone, demand for ASML’s machines has surged to the point where the company has openly said the world won’t have enough chips for years.

All that demand has also made ASML a target. Substrate, a San Francisco startup founded by a protégé of Peter Thiel, has raised more than $100 million and been valued at over $1 billion on the claim that it can build a rival lithography machine. Separately, there have been reports that former ASML engineers in China have partly reverse-engineered the technology, a prospect with enormous geopolitical implications.

Christophe Fouquet, who became ASML’s CEO in 2024 after more than a decade at the company, sat down with this editor on the rooftop deck of his Beverly Hills hotel Tuesday morning ahead of his appearance at the Milken Institute Global Conference. Dressed in a blue suit and white shirt, he was relaxed — even when the conversation turned to the rivals.

This interview has been lightly edited for length and clarity.

TC: Did you see the AI explosion coming?

Techcrunch event

San Francisco, CA | October 13-15, 2026

CF: No, not at all. We worked very hard, but not with the idea that this would come. You went from a concept — something people thought would eventually arrive — to ChatGPT, which was really the first good example of what AI could do. And now I think we look at AI as the next revolution, not only industrial but societal. Did I see it coming? No. Sitting in the middle of it every day, sometimes we wake up in the morning and still check that what is happening is really happening.

The big question everyone has is whether the supply chain can keep pace with demand. Can it?

The demand is such that the market overall will be supply-limited for quite a bit. Right now, the biggest bottleneck seems to be in chip manufacturing. We, as an equipment supplier, follow our customers, and so far we’ve followed them pretty well — but we know we have to step up our entire supply chain and capacity. If you talk to the hyperscalers, I think they will tell you that for the next two, three, even five years, they’re not going to get enough chips.

TSMC made news recently saying your latest machines are too expensive. How do you respond?

An EUV system, if you look at the price, is going to be more expensive than a low-NA system, but the cost of making a wafer with this tool on some advanced layers will be cheaper. We can get 20%, 30% cost reduction.

[Editors note: both machines Fouquet is referring to here are EUV machines — the same fundamental technology. NA stands for numerical aperture, a measure of how finely a machine can focus light onto a chip. Low-NA EUV is the current generation; high-NA EUV is ASML’s newest generation, capable of printing even finer patterns but carrying a price tag of $350 million or more apiece. Fouquet is arguing that even though the new machine costs more, it produces chips more cheaply.]

I get a lot of questions about whether it’s going to be this month or next month or the month after. And I usually say it doesn’t really matter, because we designed high-NA for the next 10, 20 years. You can go back to the press from 2016, 2017, and you’ll find the same quotes — low-NA EUV was very pricey. We know what happened after that. The same will happen with high-NA.

There’s a startup called Substrate, backed by Peter Thiel, claiming it can build a rival lithography machine. What do you think of it?

Wanting to have it and having it — that’s still a huge difference. The challenges of lithography are many. Being able to make an image is a starting point, but you need to make that image in very high quantity, at very low cost, at high speed, and with nanometer accuracy. I always say the only reason ASML could build an EUV machine is because 80% of it already existed, based on previous knowledge and products built over time. We had to solve one problem — getting EUV light — and that alone took 20 years. When you start from scratch, the challenge is enormous. I’ve seen a lot of claims. I’ve seen a few pictures. But we had our first EUV picture 30 years ago, and we still needed 20 more years of hard work to turn it into a manufacturing system.

What about xLight, a laser startup partly backed by the U.S. government that wants to work with you?

xLight is focusing on one element of our EUV machine — the source that creates the light. The source we have can be extended for many years to come, and we know how to scale it. What xLight is doing is a new source that still has to be built and proven. The only question is whether it provides a performance or cost advantage over what we have. I think the jury is still out. We are working with them so they can demonstrate their technology — we feel that’s a responsibility on our side. But it’s still a very long journey.

There are also reports that former ASML engineers in China have reverse-engineered your machines.

To reverse-engineer anything, you first need to have the machine. And there is no EUV machine in China — we never shipped any tools there. All the tools we have shipped, we know where they are. They’re either in use with customers, and we track those, or they’ve been dismantled and came back to us. The idea that one of our systems is in China is simply wrong. And because our EUV technology has never been exported there, we also have no people in China trained on EUV.

Very early on, when restrictions came in, we created a complete separation within the company between those who can access EUV technology, documents and training, and those who cannot. Our team in China sits on the other side of that line. The facts point to very little, if any, progress at all. It’s hard for people to accept that because access to this technology is so important.

On export controls more broadly — Jensen Huang was here last night arguing that companies should sell globally, that more corporate revenue means more tax dollars for a company’s home country. He also said the important thing is to keep the best and latest closer to home. Do you agree?

I think he’s totally right. What he adds — and I think this is what Nvidia has done — is that you can keep a technological advantage by maintaining a generation gap in what you sell. Nvidia sells a few generations back, and that lets them find the balance between still doing business and not handing a strong competitive advantage to countries where you won’t sell the latest. We believe the same approach should apply to our products. Today we ship tools to China — allowed by export controls — but it’s a tool we first shipped in 2015. If you apply Jensen’s philosophy to our situation, Nvidia is working with roughly an eight-generation gap. We’re looking at two or three. There’s room for rationalization — finding the right balance between not doing business at all, losing a major opportunity, and strongly inviting others to compete with you.

How do you assess where things stand with the current administration on all of this?

There is a good dialogue, which is very important. I think there’s a genuine understanding of what business needs, but there’s still the challenge of finding the right balance between all the different voices and interests. The dialogue is there, and we appreciate that. I’ve been in Washington many times. At least the discussion is happening. But it’s a very complex topic.

You don’t seem concerned about anyone short-cutting your technology.

People like to have the greatest technology, but they tend to forget what it took to build it. It’s been many years of work — not only at ASML but with our suppliers. Many different groups of people solving very difficult problems, and then one company bringing it all together using decades of lithography expertise to turn it into a manufacturing system. This is in no way easy. And I think that’s also our best protection. It’s simply what it took to put it together.

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