I never really believed self-driving cars would make it to the UK, so you can imagine my surprise when I found myself clambering into one of Wayve’s autonomous vehicles for a journey around north London a few weeks ago.
In June, the company announced plans with Uber to begin trialing Level 4 fully autonomous robotaxis in the capital as soon as 2026, part of a government plan to fast-track self-driving pilots ahead of a potential wider rollout in late 2027. Alphabet-owned Waymo, now a staple fixture of US cities like San Francisco, Los Angeles, and Phoenix, also has its eyes on London, announcing plans for its own fully driverless robotaxi service in 2026, one of its first efforts to expand beyond the US.
My skepticism on whether self-driving cars will work in London isn’t unfounded. On many levels, London is a robotaxi’s worst nightmare. At every possible turn, the city is at odds with autonomy. Its road network is narrow, winding, and hellish to navigate, a morass of concrete that emerged over centuries, designed to be used by horses and carts, not cars. Tight streets make avoiding obstacles — potholes, parked cars, you know the drill — even tougher, and this is before we’ve even started to consider the flood of other vehicles, jaywalkers, tourists, cyclists, buses, taxi cabs, and animals (like rogue military horses) sharing the road. And the less said about roundabouts or the weather, the better.
Even if a robotaxi manages to successfully navigate London, it needs Londoners on board with the technology too. This might be tough. We’re a skeptical bunch and when it comes to putting AI in cars; surveys rank Brits among the world’s worst. There’s also been a lot of hype — and failure — surrounding the technology in the past, leaving a legacy of distrust and disbelief entrants must dispel. And there’s the iconic black cabs to contend with, and they’ve been known to drive a hard bargain. When Uber first came on the scene, cabbies repeatedly brought London to a standstill, and the group is still at war with the ridesharing company today. That said, they don’t seem too threatened this time around, dismissing driverless cars as “a fairground ride” and “a tourist attraction in San Francisco.”
Wayve’s headquarters didn’t feel like a San Francisco tourist attraction. The combination of undecorated brick and black metal fencing gives Wayve, which started life in a Cambridge garage in 2017 and is still led by cofounder Alex Kendall, the vibe of a random warehouse. Just 15 minutes away is King’s Cross, a reformed industrial wasteland now home to companies like Google and Meta, which many would consider a more conventional setting for a company that has raised more than $1 billion from titans like Nvidia, Microsoft, and SoftBank (and is reportedly in talks to raise up to $2 billion more).
Its cars — a fleet of Ford Mustang Mach-Es — didn’t look that futuristic either. The only real giveaway that they planned to replace human drivers was a small box of sensors mounted above the windshield, a far cry from the obtrusive humps on top of Waymos.
Inside, it was just as ordinary. As we rolled out of Wayve’s compound, the only thing that really stood out was the big red emergency stop button in the center console, a reminder that, legally speaking, a human driver needs to be ready to seize control at any moment. If it hadn’t been for the shrill buzz going off to indicate the robotaxi had taken over, I don’t think I’d have noticed the driver had given up any control at all.
It handled the city well — far better than I expected. Within minutes, we’d left the quiet side streets near Wayve’s base and joined a busier road. The car eased between parked cars and delivery vehicles, slowed politely when food couriers cut in front of us on electric bikes, and, mercifully, didn’t mow down any of the jaywalkers who treated London’s crossings more like suggestions than rules.
The ride wasn’t exactly smooth, though, and nothing like the ethereal calm I felt when I took my first Waymo in San Francisco this summer. Wayve was more hesitant than I’m used to, a little like when my sister took me out for the first time after earning her license a few years ago.
That hesitancy is especially odd in London. Friends, cabbies, bus drivers, and Uber drivers I’ve ridden with all seem to exude a kind of impatient confidence, a sense of urgency that Wayve utterly lacked. I’ve not driven since I passed my test 15 years ago — the Tube makes it pretty easy to do without in London — but its pauses still managed to test my patience. Our route took us past the high walls of Pentonville Prison in Islington, and we trundled behind a cyclist I was sure even I could safely overtake and any Londoner certainly would have.
I later learned this tentativeness is a feature, not a bug. Unlike Waymo — which uses a combination of detailed maps, rules, sensors, and AI to drive — Wayve employs an end-to-end AI model that lets it drive in a generalizable way. In other words, Wayve drives more like a human and less like a machine. It certainly felt that way; I kept glancing at the safety driver’s hands, half expecting to see them having already retaken control. They never had. Other drivers seemed convinced too. A policeman even raised his hand in thanks as we left him a space to turn into a petrol station, though maybe that was meant for the safety driver.
In theory, this embodied AI approach means you could drop a Wayve car anywhere and it would simply adapt, similar to the way a human driver might when navigating an unfamiliar city. I’m not sure I’m ready to test that myself, but the team said they’d recently been driving out in the Scottish Highlands and came back unscathed.
I later learned the company, which is targeting markets in Japan, Europe, and North America, has been traveling around the world on an AI “roadshow” this year to test its technology in 500 unfamiliar cities. Knowing this, it seems Wayve will have little need to take The Knowledge, a series of exams for London’s black cab drivers to show they have memorized thousands of streets and places, letting them navigate without GPS (it also makes scientists love their brains).
The approach means the technology is also designed to respond to the world more fluidly and react in a more human manner to those unexpected scenarios and edge cases that terrify autonomous carmakers. On my trip, it did just that. Roadworks, learner drivers, groups of cyclists, and London buses, even a person on crutches veering into the street — it handled each capably, albeit more cautiously than a London driver probably would have. The most nerve-wracking moment came when a blind man edged out with his cane between two parked cars — a scene so on the nose I had to ask the company if it had been staged (it hadn’t) — but before I could react, the car had already slowed and shifted course.
By the time we pulled back into Wayve’s compound, I realized I’d stopped wondering who was driving. It was only the repeat of the shrill buzzer that signaled our safety driver was back in control. My brain, it seems, has finally accepted autonomy, at least London’s version of it. It’s rougher around the edges, less sci-fi, more human. And maybe that’s the point.
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![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://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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