Tech
ASML CEO Christophe Fouquet on his company’s monopoly: no one is coming for us
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.
Did you see the AI explosion coming?
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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.
[Editor’s 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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Tech
Etsy launches its app within ChatGPT as it continues its AI push
Etsy announced Tuesday the launch of its native app within ChatGPT, opening up a new way for shoppers to explore its catalog of over 100 million listings.
The new experience is designed to move beyond the limitations of traditional keyword queries. Instead of typing something like “wooden coffee table,” then scrolling and adjusting filters, users can now express what they’re looking for in natural language. For instance, “Help me find a Mother’s Day gift under $100 for my mom who loves gardening.”
Now live in beta, the feature allows users to tag @Etsy directly within a prompt. From there, the Etsy app in ChatGPT surfaces relevant product listings that users can browse, compare, and click through to Etsy for additional details or purchase.
This isn’t Etsy’s first experiment inside ChatGPT. Back in September, Etsy became an early partner in ChatGPT’s Instant Checkout integration, which let users buy products directly inside the chat interface. However, the initiative ended in March, suggesting it didn’t perform as OpenAI had hoped. It was reported that Etsy didn’t see a large volume of sales from the integration, leading Etsy to start building a native app within ChatGPT instead.
Alongside this launch, Etsy also revealed it’s testing a beta conversational search experience within its platform, specifically geared toward helping users find gifts. The gift assistant acts as a personal shopper, offering a guided, conversational way to discover ideas, narrow down preferences, and surface relevant products.

This builds on Etsy’s broader AI push, which includes an AI-powered discovery experience featuring curated collections and a suite of seller tools, including a tool that helps generate product titles and descriptions, as well as a writing assistant to help draft messages to buyers. In 2024, Etsy introduced a new “Designed” label to identify AI content, part of an effort to increase transparency as AI-generated artwork becomes more prevalent on the platform.
The news of a ChatGPT integration comes a week after Etsy reported its Q1 2026 earnings, surpassing revenue expectations with $631 million, and marketplace gross merchandise sales were up 6% year over year. Notably, active buyers increased for the first time in two years to 86.6 million. Etsy also touted 5.6 million active sellers on the platform.
In February, the company announced it was selling Depop to eBay for $1.2 billion in cash, a move aimed at doubling down on its core marketplace.
Etsy joins a growing list of companies building native apps within ChatGPT, including Angi, SeatGeek, Tubi, and Wix. Developers have been able to build apps within the chatbot since October.
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Tech
PayPal says it’s ‘becoming a technology company again’ — that means AI
PayPal is looking toward the future, despite its falling stock and looming layoffs. In its first-quarter earnings call, CEO Enrique Lores told investors that PayPal needs to “recommit to the fundamentals,” which included “becoming a technology company again.”
There was no need to read between the lines — PayPal was pitching an AI-powered turnaround.
Lores explicitly said so, telling analysts on this week’s call that leading companies find ways to differentiate themselves by innovating and that now is the time for PayPal to take action. This includes modernizing its tech platform, moving faster to become “cloud-native,” and “aggressively adopting AI in our development processes,” Lores said. The latter would increase developer productivity and shorten time to market, he added.
It’s a startling admission from PayPal that it has yet to fully embrace AI in-house, when AI-assisted coding is one of the breakout areas where the technology has truly excelled.
Other consumer tech companies have rapidly adopted AI in recent months to assist with coding, with Spotify even declaring in February that its top developers haven’t written a line of code since December. Meanwhile, top dev teams are trying to outcompete one another by tokenmaxxing — a proxy for understanding who at the company is experimenting with AI more often, based on the number of AI tokens they use.
PayPal is only now catching up, it seems.
Lores said the company has formed a new “AI transformation and simplification” team to help with its enterprise AI agenda. Combined with the planned layoffs, which Lores characterized as PayPal removing layers from its organizational structure, the addition of AI-enabled processes is expected to bring the company at least $1.5 billion in cost savings over the next two to three years, he said.
The company announced last week it was reorganizing its business, which streamlines the operation into three segments: checkout solutions and PayPal, consumer financial services (and Venmo), and payment services and crypto. In addition, Bloomberg reported on Tuesday that PayPal plans to cut around 20% of its workforce over the next two to three years as part of its cost-savings plan, equating to north of 4,500 jobs.
More cost savings will come from PayPal’s plans for AI adoption, company execs said on the call. That includes bringing AI into areas beyond coding, like customer service, support operations, and risk management, to name a few.
“I think the changes that AI will enable us to do are … going to be very significant,” said Lores. “This is why we created a group last week, reporting to me, that is going to be in charge of driving — function by function, process by process — this AI transformation. And this is not about adopting AI as a technology, where we have done many pilots in the company, and we have seen what is possible. It’s really about understanding how can we redesign the key processes … this is what we have seen that really will drive significant savings.”
Announcing an AI-driven push to cut costs while eliminating thousands of jobs underscores a core criticism of the technology — it comes with a human cost.
It’s worth noting that, in this case, PayPal was already in need of restructuring. The company may have beat on its first-quarter earnings with revenue of $8.4 billion, up 7% year-over-year, but it forecast weak guidance for the second quarter, sending the stock tumbling after earnings. That follows a long post-pandemic decline that has sent the stock down over 80% from its 2021 high and has stunted PayPal’s growth.
Asked if separating Venmo into its own business meant the company would be open to selling it, Lores said that, for now, this is what made the most sense in terms of the turnaround plan. Still, he signaled openness to future deals by saying “my number one priority is to maximize shareholder value,” in answer to an analyst’s question about a sale.
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Tech
OpenAI releases GPT-5.5 Instant, a new default model for ChatGPT
On Tuesday, OpenAI released a new foundation model called GPT-5.5 Instant, which will replace GPT-5.3 Instant as the default ChatGPT model. The company said the model reduces hallucination in sensitive areas such as law, medicine, and finance, while maintaining the low latency of its predecessor.
OpenAI released the latest GPT-5.5 model last month with the company claiming improvements in areas like coding and knowledge work.
The new model also achieved a score of 81.2 in the AIME 2025 math test, compared to 65.4 for the older model. It also outperformed its predecessor on the MMMU-Pro multimodal reasoning benchmark, with a score of 76 vs. 69.2.
The release placed a particular emphasis on context management. GPT-5.5 Instant can use its search tool to refer back to past conversations, files, and Gmail to give you more personalized answers. This feature will be available to Plus and Pro users on the web, with plans to roll it out to mobile soon. OpenAI said that it plans to extend access to this feature to Free, Go Business, and enterprise users in the coming weeks.
With this update, ChatGPT will also show memory sources across all models to help you understand where it generated the answers from. Users can delete outdated sources or correct them if the answer was wrong. Crucially, the company said that if you share a chat with someone, they won’t be able to see the memory sources.
For developers, the GPT-5.5 model will be available through API as “chat-latest,” with 5.3 available as an option for paid users for only three months.
The company has faced rebuttal from previous model withdrawal moves. When OpenAI withdrew its GPT-4o model, there was significant backlash from users who related to the model’s “personality.” GPT-4o affirmed users’ choices frequently and that made them feel a connection to that particular model. Users who signed petitions to stop OpenAI from retiring it described the model as their “best friend” or “a mirror.” Despite the outcry, GPT-4o was deprecated in February 2026.
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