Sam Altman was winning on the stand, but it might not be enoughAfter two weeks of hearing from assorted witnesses that he was a lying snake, the jury finally heard from the lying snake himself: Sam Altman. At the end of the testimony, his lawyer William Savitt asked him how it felt to be accused of stealing a charity.
“We created, through a ton of hard work, this extremely large charity, and I agree you can’t steal it,” Altman said. “Mr. Musk did try to kill it, I guess. Twice.”
Altman was fully in “nice kid from St. Louis” mode, and did a passable impression of a man who was bewildered at what was happening to him. When he stepped down from the stand holding a stack of evidence binders, he even looked a little like a schoolboy. He seemed nervous at the beginning of his direct testimony, though he warmed up fairly quickly. Overall, he seemed to give credible testimony — and at times, it seemed like the jury liked him.
Throughout this trial I’ve had some difficulty imagining what the jury is making of all this because I am a little too familiar with the figures who are testifying. I have heard some audacious lies under oath, like when Elon Musk told us all he doesn’t lose his temper. (He then proceeded to lose his temper on cross-examination.) Or like when Shivon Zilis, the mother of several of his children, told us that she didn’t know Musk was starting xAI — which seemed to be directly contradicted by her text messages. Or when Greg “What will take me to $1B?” Brockman told us he was all about the mission. I certainly believe Altman isn’t trustworthy — I mean, The New Yorker published more than 17,000 words about how much he lies. But unlike with Musk, there are contemporaneous documents backing Altman’s version of the story. At least, mostly.
“My belief is he wanted to have long-term control”
After OpenAI’s Dota 2 win, discussions for a for-profit arm started in earnest. “Mr. Musk felt very strongly that if we were going to form a for-profit he needed to have total control over it initially,” Altman said. “He only trusted himself to make non-obvious decisions that were going to turn out to be correct.”
Altman testified that he was uncomfortable with Musk’s insistence on control, not just because Musk hadn’t been as involved as everyone else, but because OpenAI existed so no one person would control AGI. And at Y Combinator, the startup incubator where he was president, Altman had seen a lot of control fights; no one wanted to give up power when things were going well. With structures like supervoting shares, founders could retain control forever. Curiously, Altman’s example was not the most famous one (Mark Zuckerberg at Meta); it was Musk and SpaceX. When Altman asked Musk about succession plans for OpenAI, he got a particularly “hair-raising” answer: In the event of Musk’s death, Musk said, “I haven’t thought about it a ton, but maybe control should pass to my children.”
I don’t know about that. But I do know that I saw a 2017 email from Altman to Zilis in which he wrote, “I am worried about control. I don’t think any one person should have control of the world’s first AGI — in fact the whole reason we started OpenAI was so that wouldn’t happen.” He went on to say that he didn’t mind the idea of immediate control and was open to “creative structures” — which I understood to mean that, in order to placate Musk, Altman was willing to give him control up to specific milestones in company development.
“I read a vague, like, a lightweight threat in there”
“My belief is he wanted to have long-term control and that he would’ve had that had we agreed to the structure he wanted,” Altman said on the stand. This sounds basically right. In later video testimony from Sam Teller’s deposition, we heard that Musk no longer invests in anything he doesn’t control. This also fits with Musk’s long-term fixation on making sure he can’t get booted from his own company the way he got booted from PayPal.
Musk also tried to recruit Altman to Tesla. We saw texts between Altman and Teller, in which Teller told Altman that Musk was committed to beefing up Tesla’s AI no matter what, and that he hoped that Altman, Brockman, and Ilya Sutskever would want to join eventually. “I read a vague, like, a lightweight threat in there, that he’s gonna do this inside of Tesla with or without you,” Altman said. But he felt that Tesla was primarily a car company — allowing it to acquire OpenAI would betray OpenAI’s mission.
Later, in Teller’s testimony, we saw texts Teller sent to Zilis at 12:40AM on February 4th, 2018: “I don’t love OpenAI continuing without Elon,” he wrote. “Would rather disable it by recruiting the leaders.”
When Musk stopped his quarterly donations, OpenAI was operating on a “shoestring” with an “extremely short runway of cash.” OpenAI did have other donors, none of whom have sued it or joined Musk’s suit. (One donor in the exhibit that wasn’t called out to the courtroom was Alameda Research, the firm owned by Sam Bankman-Fried, who is now in prison for fraud and money laundering.) Musk’s resignation from the board meant “people wondered if he was gonna try to take, uh, vengeance out on us or something.” On the other hand, Altman said Musk had “demotivated some of our key researchers” and done “huge damage for a long time to the culture of the organization.” So it sure seems like some people were relieved to be rid of him.
I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial
We saw a lot of evidence that throughout the time Altman was setting up OpenAI’s for-profit arm, he kept Musk apprised of what was going on, either directly or through Zilis or Teller. At no point did Musk object, and whatever he said publicly about the Microsoft investments, there was plenty of evidence that privately he’d been made aware.
On the cross-examination, we were treated to more than 10 minutes of Steven Molo telling Altman that various and assorted people had called him a liar: Sutskever, Mira Murati, Helen Toner, Tasha McCauley, Daniela and Dario Amodei (former OpenAI employees and founders of Anthropic), employees at Altman’s first startup Loopt, that recent New Yorker article, a book called The Optimist, etc. Molo did score some points by asking Altman about testimony in the trial, which Altman said he wasn’t paying close attention to. Molo acted as though this was inconceivable. Surely someone had informed Altman of what was said?
It was a little funny and also a little tiresome. Altman kept his cool, though, seeming hurt and confused by the focus on whether he was a liar. It was also the most successful part of the cross, which declined in focus precipitously afterward. I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial, and today was pretty bad. At one point, when Molo was trying to capitalize on Altman being both CEO and on the company’s board, Altman said — truthfully — that CEOs are almost always on the boards of the companies they run.
(At this point in my notes, I had written, “Boy, Molo is not very good at this.”)
The point of this trial isn’t to win — it’s to punish Altman, Brockman, and OpenAI
There was also an unconvincing argument about fundraising in nonprofits, specifically that if Stanford could raise $3 billion a year, OpenAI should have remained a nonprofit. Okay, let’s just think about that for a minute. Stanford has a donor network of thousands of graduates. It’s a school, which has very different capital requirements. It is not competing with any reputable for-profit companies. But leave that all aside and assume that some fundraising genius took over at the OpenAI Foundation: $3 billion is the initial two Microsoft investments combined, and not enough to scale OpenAI to where it is now. If compute is the main bottleneck on building AI models, then Molo’s line of argument suggests OpenAI never would have managed to be successful as a nonprofit alone. He’s making the defense’s case for them.
But the thing is, Molo doesn’t actually have to be good at this job, because the point of this trial isn’t to win — though I’m sure Musk wouldn’t mind a win. The point is to punish Altman, Brockman, and OpenAI. Musk has done that pretty thoroughly — reinforcing in the public’s mind that Altman is a liar and a snake. This morning, I read an exclusive in The Wall Street Journal that assorted Republican AGs and the House Oversight committee wanted to look into Sam Altman’s investments. References to the trial are peppered throughout the article.
So yes, Altman was convincing on the stand. He may even win the suit. But it sure seems like Musk’s vengeance has just begun.
Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.
#Sam #Altman #winning #standAI,OpenAI
After two weeks of hearing from assorted witnesses that he was a lying snake, the jury finally heard from the lying snake himself: Sam Altman. At the end of the testimony, his lawyer William Savitt asked him how it felt to be accused of stealing a charity.
“We created, through a ton of hard work, this extremely large charity, and I agree you can’t steal it,” Altman said. “Mr. Musk did try to kill it, I guess. Twice.”
Altman was fully in “nice kid from St. Louis” mode, and did a passable impression of a man who was bewildered at what was happening to him. When he stepped down from the stand holding a stack of evidence binders, he even looked a little like a schoolboy. He seemed nervous at the beginning of his direct testimony, though he warmed up fairly quickly. Overall, he seemed to give credible testimony — and at times, it seemed like the jury liked him.
Throughout this trial I’ve had some difficulty imagining what the jury is making of all this because I am a little too familiar with the figures who are testifying. I have heard some audacious lies under oath, like when Elon Musk told us all he doesn’t lose his temper. (He then proceeded to lose his temper on cross-examination.) Or like when Shivon Zilis, the mother of several of his children, told us that she didn’t know Musk was starting xAI — which seemed to be directly contradicted by her text messages. Or when Greg “What will take me to $1B?” Brockman told us he was all about the mission. I certainly believe Altman isn’t trustworthy — I mean, The New Yorker published more than 17,000 words about how much he lies. But unlike with Musk, there are contemporaneous documents backing Altman’s version of the story. At least, mostly.
“My belief is he wanted to have long-term control”
After OpenAI’s Dota 2 win, discussions for a for-profit arm started in earnest. “Mr. Musk felt very strongly that if we were going to form a for-profit he needed to have total control over it initially,” Altman said. “He only trusted himself to make non-obvious decisions that were going to turn out to be correct.”
Altman testified that he was uncomfortable with Musk’s insistence on control, not just because Musk hadn’t been as involved as everyone else, but because OpenAI existed so no one person would control AGI. And at Y Combinator, the startup incubator where he was president, Altman had seen a lot of control fights; no one wanted to give up power when things were going well. With structures like supervoting shares, founders could retain control forever. Curiously, Altman’s example was not the most famous one (Mark Zuckerberg at Meta); it was Musk and SpaceX. When Altman asked Musk about succession plans for OpenAI, he got a particularly “hair-raising” answer: In the event of Musk’s death, Musk said, “I haven’t thought about it a ton, but maybe control should pass to my children.”
I don’t know about that. But I do know that I saw a 2017 email from Altman to Zilis in which he wrote, “I am worried about control. I don’t think any one person should have control of the world’s first AGI — in fact the whole reason we started OpenAI was so that wouldn’t happen.” He went on to say that he didn’t mind the idea of immediate control and was open to “creative structures” — which I understood to mean that, in order to placate Musk, Altman was willing to give him control up to specific milestones in company development.
“I read a vague, like, a lightweight threat in there”
“My belief is he wanted to have long-term control and that he would’ve had that had we agreed to the structure he wanted,” Altman said on the stand. This sounds basically right. In later video testimony from Sam Teller’s deposition, we heard that Musk no longer invests in anything he doesn’t control. This also fits with Musk’s long-term fixation on making sure he can’t get booted from his own company the way he got booted from PayPal.
Musk also tried to recruit Altman to Tesla. We saw texts between Altman and Teller, in which Teller told Altman that Musk was committed to beefing up Tesla’s AI no matter what, and that he hoped that Altman, Brockman, and Ilya Sutskever would want to join eventually. “I read a vague, like, a lightweight threat in there, that he’s gonna do this inside of Tesla with or without you,” Altman said. But he felt that Tesla was primarily a car company — allowing it to acquire OpenAI would betray OpenAI’s mission.
Later, in Teller’s testimony, we saw texts Teller sent to Zilis at 12:40AM on February 4th, 2018: “I don’t love OpenAI continuing without Elon,” he wrote. “Would rather disable it by recruiting the leaders.”
When Musk stopped his quarterly donations, OpenAI was operating on a “shoestring” with an “extremely short runway of cash.” OpenAI did have other donors, none of whom have sued it or joined Musk’s suit. (One donor in the exhibit that wasn’t called out to the courtroom was Alameda Research, the firm owned by Sam Bankman-Fried, who is now in prison for fraud and money laundering.) Musk’s resignation from the board meant “people wondered if he was gonna try to take, uh, vengeance out on us or something.” On the other hand, Altman said Musk had “demotivated some of our key researchers” and done “huge damage for a long time to the culture of the organization.” So it sure seems like some people were relieved to be rid of him.
I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial
We saw a lot of evidence that throughout the time Altman was setting up OpenAI’s for-profit arm, he kept Musk apprised of what was going on, either directly or through Zilis or Teller. At no point did Musk object, and whatever he said publicly about the Microsoft investments, there was plenty of evidence that privately he’d been made aware.
On the cross-examination, we were treated to more than 10 minutes of Steven Molo telling Altman that various and assorted people had called him a liar: Sutskever, Mira Murati, Helen Toner, Tasha McCauley, Daniela and Dario Amodei (former OpenAI employees and founders of Anthropic), employees at Altman’s first startup Loopt, that recent New Yorker article, a book called The Optimist, etc. Molo did score some points by asking Altman about testimony in the trial, which Altman said he wasn’t paying close attention to. Molo acted as though this was inconceivable. Surely someone had informed Altman of what was said?
It was a little funny and also a little tiresome. Altman kept his cool, though, seeming hurt and confused by the focus on whether he was a liar. It was also the most successful part of the cross, which declined in focus precipitously afterward. I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial, and today was pretty bad. At one point, when Molo was trying to capitalize on Altman being both CEO and on the company’s board, Altman said — truthfully — that CEOs are almost always on the boards of the companies they run.
(At this point in my notes, I had written, “Boy, Molo is not very good at this.”)
The point of this trial isn’t to win — it’s to punish Altman, Brockman, and OpenAI
There was also an unconvincing argument about fundraising in nonprofits, specifically that if Stanford could raise $3 billion a year, OpenAI should have remained a nonprofit. Okay, let’s just think about that for a minute. Stanford has a donor network of thousands of graduates. It’s a school, which has very different capital requirements. It is not competing with any reputable for-profit companies. But leave that all aside and assume that some fundraising genius took over at the OpenAI Foundation: $3 billion is the initial two Microsoft investments combined, and not enough to scale OpenAI to where it is now. If compute is the main bottleneck on building AI models, then Molo’s line of argument suggests OpenAI never would have managed to be successful as a nonprofit alone. He’s making the defense’s case for them.
But the thing is, Molo doesn’t actually have to be good at this job, because the point of this trial isn’t to win — though I’m sure Musk wouldn’t mind a win. The point is to punish Altman, Brockman, and OpenAI. Musk has done that pretty thoroughly — reinforcing in the public’s mind that Altman is a liar and a snake. This morning, I read an exclusive in The Wall Street Journal that assorted Republican AGs and the House Oversight committee wanted to look into Sam Altman’s investments. References to the trial are peppered throughout the article.
So yes, Altman was convincing on the stand. He may even win the suit. But it sure seems like Musk’s vengeance has just begun.
![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