![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](https://i2.wp.com/techcrunch.com/wp-content/uploads/2026/05/GettyImages-2250757778.jpg?resize=1200%2C800&ssl=1 "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")
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.
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
![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680 "This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK")
![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://i0.wp.com/techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680&ssl=1 "This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK")
Post Comment