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The best iPhones

The best iPhones

Editor’s note: Black Friday doesn’t officially take place until Friday, November 28th; however, if you want to shop ahead of time, we’ve rounded up the best early Black Friday deals you can already get.

If you’ve been holding off on getting a new iPhone, now’s the perfect time to size up your options. Apple’s 2025 iPhone lineup is now available, which includes the iPhone 17, 17 Pro, 17 Pro Max, and a brand-new model, the ultra-thin iPhone Air. These new phones offer a number of new features over their predecessors, such as upgraded cameras, faster chips, better battery life, and even better screens — Apple Intelligence, however, is still a work in progress.

Alongside the new hardware, Apple also launched iOS 26 (yes, the numbering system has changed and we’re jumping from iOS 18), which includes a new Liquid Glass user interface, live translation, wallpapers in messages, and more. The software marks Apple’s biggest visual redesign since iOS 7, and despite some very polarizing reactions, we think it looks fine.

If your current iPhone is humming along, there’s no need to rush out and get a new one. But if you’re questioning whether it’s the year to replace your iPhone that’s a few generations old, then I think the answer is an easy yes. There are real gains to be had this time around, especially in the basic iPhone 17, which features a higher-refresh-rate display than last year’s model for smoother-looking animations, plus double the base storage to 256GB — all without raising the price, despite the current tariff situation.

What we’re looking for

There’s no shortcut to properly testing a phone; I put my personal SIM card (physical or otherwise) in each phone I review and live with it for a minimum of one full week. I set up each phone from scratch, load it up with my apps, and go about living my life — stress testing the battery, using GPS navigation on my bike while streaming radio, taking rapid-fire portrait mode photos of my kid — everything I can throw at it. Starting over with a new phone every week either sounds like a dream or your personal hell, depending on how Into Phones you are. For me, switching has become so routine that it’s mostly painless.

The most expensive, souped-up iPhone isn’t automatically the best one for everyone. What I look for is a happy medium — features that will satisfy most people at the best price. Sometimes, that’s last year’s model.

Battery performance can vary significantly between current iPhone models, primarily due to the size of the phone. Everyone wants a phone that can last a full day, and these recommendations reflect that.

One size does not fit all. Some people like a small phone, others want the biggest screen money can buy. This list includes iPhones for people in both camps.

The best iPhone for most people

$799

The Good

  • Always-on display makes it vastly more useful
  • High refresh rate makes using the phone smoother
  • The cameras are solid
  • Battery lasts well through the day
  • The price isn’t going up
  • No redesign, but the green is nice

The Bad

  • Zoom capabilities are weak compared to the Pro
  • Gets hot during heavy gaming sessions
  • Apple Intelligence is still somewhere between useless and MIA

Screen: 6.3-inch 2622 x 1206 OLED, 120Hz refresh rate / Processor: A19 / Cameras: 48-megapixel f/1.6 main with sensor-shift IS; 48-megapixel ultrawide; 18-megapixel selfie / Battery: Not advertised / Charging: 40W wired, 25W wireless MagSafe / Qi2 / Weather-resistance rating: IP68

The iPhone 17 marks a turning point for the standard model. After years with a lower-quality screen, the cheapest model finally got two major upgrades for 2025: an always-on display and a high-refresh-rate panel. These features make it feel meaningfully better than the iPhone 16 and prior models in everyday use, bringing it closer than ever to the Pro models. And at the same $799 starting price as the previous generation, this year’s update is a no-brainer.

While the iPhone 17’s 48-megapixel main camera is carried over from last year, the ultrawide camera has been changed from a 12-megapixel sensor to a 48-megapixel sensor, and it delivers sharper and more vibrant photos. The device features an 18-megapixel Center Stage selfie camera, which is also in the Air and 17 Pro. Your selfies may not look materially better, but the front camera’s square sensor elevates the user experience, making it possible to take horizontal selfies while holding the device vertically (no need to rotate the phone).

The iPhone 17’s always-on display lets you quickly glance at notifications.

The iPhone 17’s always-on display lets you quickly glance at notifications.
Photo by Amelia Holowaty Krales / The Verge

Apple also gives you double the storage — 256GB versus 128GB in the base iPhone 16 — and improved battery life. The standard 17 still lacks a proper telephoto camera, and the A19 chip is slower than the A19 Pro found in the Pro models. Still, it’s a big step up in almost every way, even if it looks basically the same as every iPhone from the past six years.

Read our full iPhone 17 review.
A navy blue iPhone on a wooden backgroundA navy blue iPhone on a wooden background

$1099

The Good

  • Solid battery life
  • Brighter screen outdoors
  • Center Stage camera
  • Faster charging
  • Doesn’t get blazing hot
  • Orange

The Bad

  • What’s up with Siri?
  • Heavier than last year

Screen: 6.3-inch 2622 x 1206 OLED, 120Hz refresh rate / Processor: A19 Pro / Cameras: 48-megapixel f/1.78 with sensor-shift IS; 48-megapixel 8x telephoto with OIS; 48-megapixel ultrawide; 18-megapixel selfie / Battery: Not advertised / Charging: 40W wired, 25W MagSafe / Qi2 / Weather-resistance rating: IP68

The iPhone 17 Pro introduces a bold redesign and a number of notable upgrades, including the lineup’s most advanced camera setup yet. It also features rounded edges, and similar to last year, it’s on equal footing with the 17 Pro Max in terms of performance. The biggest differences are that the Pro Max offers a larger display, a larger battery, and up to 2TB of storage.

Whereas the iPhone 17 is for most people, the 17 Pro is geared more toward creators. The device has three 48-megapixel cameras, including a 48-megapixel telephoto, and it offers several pro features aimed at those who want to take the best possible photos and videos. Some of those features include Genlock support, which lets videographers sync up timecodes across multiple cameras, and support for ProRes RAW recording. It also sports the upgraded Center Stage selfie camera found in other 2025 iPhone models.

The iPhone 17 Pro offers a smaller form factor compared to the 17 Pro Max.

The iPhone 17 Pro offers a smaller form factor compared to the 17 Pro Max.
Photo by Vjeran Pavic / The Verge

Despite the additions and improvements, there’s little here that makes the 17 Pro an absolute must-upgrade. However, it comes in an irresistible orange, which is apparently the new “it” color.

Read our full iPhone 17 Pro review.

The iPhone with the best battery life

$1199

The Good

  • Solid battery life
  • Brighter screen outdoors
  • Center Stage camera
  • Faster charging
  • Doesn’t get blazing hot
  • Orange

The Bad

  • What’s up with Siri?
  • Heavier than last year

Screen: 6.9-inch 2868 x 1320 OLED, 120Hz refresh rate / Processor: A19 Pro / Cameras: 48-megapixel f/1.78 with sensor-shift IS; 48-megapixel 8x telephoto with OIS; 48-megapixel ultrawide; 18-megapixel selfie / Battery: Not advertised / Charging: 40W wired, 25W MagSafe / Qi2 / Weather-resistance rating: IP68

The iPhone 17 Pro Max’s redesign isn’t just about looks. Apple hollowed out the device’s aluminum frame to fit in the biggest battery yet in an iPhone. Apple says the device offers up 39 hours of video playback, which is 12 more hours than last year’s iPhone 16 Plus, our previous battery champ. The device can easily push through a full day and then some, though your mileage will vary depending on how often you play mobile games, watch videos, and doomscroll on social media.

The bigger iPhone 17 Pro Max means a bigger battery.

The bigger iPhone 17 Pro Max means a bigger battery.
Photo by Vjeran Pavic / The Verge

There are other benefits to going with the 17 Pro Max. It has the largest display among the latest iPhone lineup — 6.9 inches — and offers up to 2TB of storage, giving creators more room than ever for storing their media. If you want the most iPhone you can possibly get, including the longest battery life, then the 17 Pro Max is the way to go.

Read our full iPhone 17 Pro Max review.

The best iPhone for people who hate bulky phones

iPhone Air on a couch cushioniPhone Air on a couch cushion

$999

The Good

  • Easier to carry thanks to its slim profile
  • Remarkably light and more pleasant to use for long periods of time

The Bad

  • Battery drains quicker than a standard phone
  • No ultrawide camera

Screen: 6.5-inch 2736 x 1260 OLED, 120Hz refresh rate / Processor: A19 Pro / Cameras: 48-megapixel f/1.6 main with sensor-shift IS; 18-megapixel selfie / Battery: Not advertised / Charging: 30W wired, 20W MagSafe / Qi2 / Weather-resistance rating: IP68

The iPhone Air is Apple’s biggest redesign since the iPhone X was released in 2017. It’s shockingly thin and light, at 5.6mm and 165 grams, respectively. Thanks to its titanium frame and Ceramic Shield 2 display, it’s more durable than you might expect, too. The device feels deceptively small, despite having a 6.5-inch display. You really have to see and feel the phone yourself to get the appeal.

The iPhone Air is the thinnest iPhone ever, though it still has a chunky camera hump.

The iPhone Air is the thinnest iPhone ever, though it still has a chunky camera hump.
Photo by Vjeran Pavic / The Verge

But the thinner design comes with a few substantial compromises compared to the other models available this year. One of the biggest is that the Air features a single 48-megapixel camera on the back. That’s not to say the device’s camera is bad. But it’s a far less versatile system than even the far more affordable iPhone 17, which has a dual-camera setup. The second compromise is on battery life, which is just okay. It’s not terrible, but it’s not great, either.

At $999, you’re paying a lot for middling battery life and camera performance. Those who primarily care about design, though, may be more forgiving about those shortcomings.

Read our full iPhone Air review.

The best inexpensive-ish iPhone

A hands-on photo of Apple’s iPhone 16E.A hands-on photo of Apple’s iPhone 16E.

$599

The Good

  • Reliable performance
  • Good, if limited, camera system
  • It’s the cheapest new iPhone you can buy

The Bad

  • No MagSafe
  • $599 feels like $100 too much
  • No ultrawide

Screen: 6.1-inch Super Retina XDR / Processor: A18 Cameras: 48MP Fusion with 1x and 2x optical zoom, 12-megapixel selfie / Battery: Not advertised / Charging: 20-watt wired, 7.5W Qi, no MagSafe/ Weather-resistance rating: IP68

This recommendation comes with a heavy sigh. Yes, the 16E is the cheapest new iPhone Apple sells. Yes, it’s a good phone. It has a capable camera, reliable performance, full water resistance, wireless charging, and will be supported with software updates for years to come. But its $599 price tag starts to feel like too much when you consider what it’s missing.

There’s no MagSafe, which you can kind of add by way of a MagSafe case, but it’s a bummer not to have it built in when it has basically become a standard iPhone feature. There’s no ultrawide camera, no Dynamic Island housing timely information, no camera control button (not a huge loss, honestly), and no Ultra Wideband for precise object tracking. It does support Apple Intelligence, but that doesn’t feel like much of a consolation, given that it’s very much still a work-in-progress.

The 16E will most likely receive more years of software support than a previous-gen model like the iPhone 14 or 15. And sure, Apple Intelligence might turn into something useful someday. The 16E is a good choice if you want the path of least resistance to blue bubbles and FaceTime at your fingertips. But if you’d like MagSafe, a more advanced camera, and some of the other bells and whistles that got lost on the way to the 16E, then it’s not a bad idea to look at one of the older iPhones.

Read my full Apple iPhone 16E review.

Apple’s latest iPhone lineup is available now, but there are already reports about what’s next. One report suggests Apple is readying a book-style foldable iPhone for 2026, which allegedly looks like two iPhone Air models put side by side. Apple is reportedly still working to flatten the crease that appears when the phone is unfolded, but has otherwise settled on a design. Looking ahead to 2027, a report claims Apple is planning a redesigned “all-screen” iPhone to celebrate the device’s 20th anniversary. These upcoming releases are allegedly part of Apple’s three-year plan — starting with the new iPhone Air — that’s aimed at refreshing its smartphone lineup.

Update, November 19th: Updated to reflect current pricing / availability. Brandon Russell contributed to this article.

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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 $12.1 billion out of the $14.8 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 $3.3 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.” 

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
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

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 $12.1 billion out of the $14.8 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 $3.3 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.” 

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
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 $12.1 billion out of the $14.8 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 $3.3 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.” 

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
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
Why Remote Server Access Is a Common Attack Vector

Every cloud server exposes at least one remote access point – usually SSH on port 22 – and that port is scanned constantly by bots looking for weak credentials. Password-based login is the most common way a system can be attacked by brute force, and it is quite common with a standard setup that the system is left in a state where an admin/user of that system – “root user” – can log in directly by guessing the user ID and the password combination. Add in shared team credentials, forgotten firewall rules from old projects, and staging servers left publicly reachable, and it’s clear why misconfigured remote access – not zero-day exploits – is behind most cloud server compromises. The fix is simple, though you’ll need to do some setup yourself instead of trusting the default setting.

How to lock down SSH access in the right way

The best way to secure remote access is through a series of small improvements rather than one major overhaul. The following is a real working method:

  1. Switch to SSH key authentication, then turn off password login completely in the same location: sshd_config. Keys are far harder to brute-force than passwords.
  2. Disable root login over SSH and require a non-root user with sudo privileges instead; this is a security advantage that even without any change, one key compromising would limit the impact.
  3. Change the default SSH port away from 22 to cut down on automated scanning noise (not a security measure on its own, but it reduces log clutter).
  4. Restrict access by IP using your firewall or security group, allowing SSH only from known office or VPN IP ranges rather than the entire internet.
  5. Add a VPN as a connection layer for anyone accessing servers from outside a trusted network – a VPN like Planet VPN’s free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.

Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.

Why Do I Need a Bastion Host?

When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.

Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.

Mistakes Leading to Leaving Cloud Servers Open

The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.

Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.

System Administrators Guide to Secure Remote Access 

Prohibit SSH password logins totally and depend exclusively on key-based authentication

  • Surely no one wants to type in the password every time; because of this, use only key-based authentication 
  • Deter the user from logging in as root by default and instead use the sudo command to do root tasks
  • A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 
  • For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host
  • Periodically change SSH keys and inspect access lists
  • Maintain records of login attempts and detect brute-force attacks as quickly as possible

Frequently Asked Questions

What is the principal means by which cloud servers suffer break-ins through remote access?

By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.

Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication? 

It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection. 

Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys? 

A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.

Bastion host vs VPN as methods of accessing the server? 

The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle. 

How often should SSH keys be rotated? 

The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.

Why is only changing the port number for SSH enough to secure that port?

Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.

#Secure #Remote #Access #Cloud #ServerCloud,remote access">How to Secure Remote Access to Your Cloud Server in 2026
	
Protection against unauthorized remote logins to your cloud server is a matter of SSH key-based authentication, a strict security policy on the firewall, two-factor authentication, and a secure communication channel – no individual component will give adequate protection by itself. The major risk point in breaches is not the server but the open door to remote login. To patch that vulnerability, you need a series of countermeasures, not a magical setting.





Why Remote Server Access Is a Common Attack Vector



Every cloud server exposes at least one remote access point – usually SSH on port 22 – and that port is scanned constantly by bots looking for weak credentials. Password-based login is the most common way a system can be attacked by brute force, and it is quite common with a standard setup that the system is left in a state where an admin/user of that system – “root user” – can log in directly by guessing the user ID and the password combination. Add in shared team credentials, forgotten firewall rules from old projects, and staging servers left publicly reachable, and it’s clear why misconfigured remote access – not zero-day exploits – is behind most cloud server compromises. The fix is simple, though you’ll need to do some setup yourself instead of trusting the default setting.



How to lock down SSH access in the right way



The best way to secure remote access is through a series of small improvements rather than one major overhaul. The following is a real working method:




Switch to SSH key authentication, then turn off password login completely in the same location: sshd_config. Keys are far harder to brute-force than passwords.



Disable root login over SSH and require a non-root user with sudo privileges instead; this is a security advantage that even without any change, one key compromising would limit the impact.



Change the default SSH port away from 22 to cut down on automated scanning noise (not a security measure on its own, but it reduces log clutter).



Restrict access by IP using your firewall or security group, allowing SSH only from known office or VPN IP ranges rather than the entire internet.



Add a VPN as a connection layer for anyone accessing servers from outside a trusted network – a VPN like Planet VPN’s free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.




Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.



Why Do I Need a Bastion Host?



When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.



Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.



Mistakes Leading to Leaving Cloud Servers Open



The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.



Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.



System Administrators Guide to Secure Remote Access 



Prohibit SSH password logins totally and depend exclusively on key-based authentication




Surely no one wants to type in the password every time; because of this, use only key-based authentication 



Deter the user from logging in as root by default and instead use the sudo command to do root tasks



A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 



For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host



Periodically change SSH keys and inspect access lists



Maintain records of login attempts and detect brute-force attacks as quickly as possible




Frequently Asked Questions



What is the principal means by which cloud servers suffer break-ins through remote access? By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.  Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication?  It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection.   Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys?  A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.  Bastion host vs VPN as methods of accessing the server?  The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle.   How often should SSH keys be rotated?  The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.  Why is only changing the port number for SSH enough to secure that port? Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.  





#Secure #Remote #Access #Cloud #ServerCloud,remote access

  1. free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.

Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.

Why Do I Need a Bastion Host?

When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.

Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.

Mistakes Leading to Leaving Cloud Servers Open

The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.

Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.

System Administrators Guide to Secure Remote Access 

Prohibit SSH password logins totally and depend exclusively on key-based authentication

  • Surely no one wants to type in the password every time; because of this, use only key-based authentication 
  • Deter the user from logging in as root by default and instead use the sudo command to do root tasks
  • A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 
  • For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host
  • Periodically change SSH keys and inspect access lists
  • Maintain records of login attempts and detect brute-force attacks as quickly as possible

Frequently Asked Questions

What is the principal means by which cloud servers suffer break-ins through remote access?

By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.

Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication? 

It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection. 

Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys? 

A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.

Bastion host vs VPN as methods of accessing the server? 

The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle. 

How often should SSH keys be rotated? 

The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.

Why is only changing the port number for SSH enough to secure that port?

Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.

#Secure #Remote #Access #Cloud #ServerCloud,remote access">How to Secure Remote Access to Your Cloud Server in 2026

Protection against unauthorized remote logins to your cloud server is a matter of SSH key-based authentication, a strict security policy on the firewall, two-factor authentication, and a secure communication channel – no individual component will give adequate protection by itself. The major risk point in breaches is not the server but the open door to remote login. To patch that vulnerability, you need a series of countermeasures, not a magical setting.

Why Remote Server Access Is a Common Attack Vector

Every cloud server exposes at least one remote access point – usually SSH on port 22 – and that port is scanned constantly by bots looking for weak credentials. Password-based login is the most common way a system can be attacked by brute force, and it is quite common with a standard setup that the system is left in a state where an admin/user of that system – “root user” – can log in directly by guessing the user ID and the password combination. Add in shared team credentials, forgotten firewall rules from old projects, and staging servers left publicly reachable, and it’s clear why misconfigured remote access – not zero-day exploits – is behind most cloud server compromises. The fix is simple, though you’ll need to do some setup yourself instead of trusting the default setting.

How to lock down SSH access in the right way

The best way to secure remote access is through a series of small improvements rather than one major overhaul. The following is a real working method:

  1. Switch to SSH key authentication, then turn off password login completely in the same location: sshd_config. Keys are far harder to brute-force than passwords.
  2. Disable root login over SSH and require a non-root user with sudo privileges instead; this is a security advantage that even without any change, one key compromising would limit the impact.
  3. Change the default SSH port away from 22 to cut down on automated scanning noise (not a security measure on its own, but it reduces log clutter).
  4. Restrict access by IP using your firewall or security group, allowing SSH only from known office or VPN IP ranges rather than the entire internet.
  5. Add a VPN as a connection layer for anyone accessing servers from outside a trusted network – a VPN like Planet VPN’s free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.

Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.

Why Do I Need a Bastion Host?

When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.

Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.

Mistakes Leading to Leaving Cloud Servers Open

The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.

Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.

System Administrators Guide to Secure Remote Access 

Prohibit SSH password logins totally and depend exclusively on key-based authentication

  • Surely no one wants to type in the password every time; because of this, use only key-based authentication 
  • Deter the user from logging in as root by default and instead use the sudo command to do root tasks
  • A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 
  • For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host
  • Periodically change SSH keys and inspect access lists
  • Maintain records of login attempts and detect brute-force attacks as quickly as possible

Frequently Asked Questions

What is the principal means by which cloud servers suffer break-ins through remote access?

By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.

Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication? 

It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection. 

Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys? 

A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.

Bastion host vs VPN as methods of accessing the server? 

The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle. 

How often should SSH keys be rotated? 

The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.

Why is only changing the port number for SSH enough to secure that port?

Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.

#Secure #Remote #Access #Cloud #ServerCloud,remote access

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