Two drivers involved in fatal crashes in 2024 while using Ford’s BlueCruise hands-free driving system were likely distracted in the moments before impact, according to new information released Wednesday by the National Transportation Safety Board (NTSB).
The safety board released documents for each crash and announced it will hold a public hearing on March 31 in Washington D.C., where it will discuss the findings and likely issue recommendations to Ford. The NTSB is an independent federal agency that investigates transportation accidents, but doesn’t regulate the industry. The agency is expected to release a final report in the weeks following the March 31 hearing.
The crashes not only triggered an investigation by the NTSB, but also one from the National Highway Traffic Safety Administration (NHTSA). NHTSA, which is a safety regulator, said in early 2025 it had determined BlueCruise has limitations in the “detection of stationary vehicles in certain conditions” and upgraded the probe; the regulator sent Ford an exhaustive list of questions as part of that probe in June 2025, which the company answered in August. The investigation is ongoing.
Ford has maintained through all this that BlueCruise is a “convenience feature” and that drivers must always be ready to take control of the vehicle. It also warns drivers that BlueCruise is “not a crash warning or avoidance system.” Buyers of new Ford vehicles can purchase BlueCruise for a one-time fee of $2,495 or a $495 annual subscription, according to the company.
That said, the NTSB’s investigation — and the hearing later this month — will likely put more of a spotlight on how companies like Ford communicate what purpose these driver assistance systems are supposed to serve and how to ensure they’re being used properly.
Distracted driving is a theme that has come up in various other investigations into other popular driver-assistance systems like Tesla’s now-retired Autopilot and its “Full Self-Driving (Supervised)” software. The NTSB’s prior investigation into a 2018 Autopilot-related death made particular note of distracted driving.
“In this crash we saw an over-reliance on technology, we saw distraction, we saw a lack of policy prohibiting cell phone use while driving, and we saw infrastructure failures, which, when combined, led to this tragic loss,” NTSB chairman Robert Sumwalt said at the time in reference to the 2018 crash.
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The first crash
The BlueCruise crashes took place in early 2024. The first one occurred in February that year in San Antonio, Texas. The driver of a 2022 Ford Mustang Mach-E was traveling in the center lane of Interstate 10 when he crashed into a stationary 1999 Honda CR-V at around 74 miles per hour. The Ford driver was using BlueCruise just before impact, which happened at 9:48 p.m. local time. The Ford driver had minor injuries, while the Honda driver died as a result of injuries sustained during the crash.
New information released by the NTSB on Wednesday shows that the Ford’s camera-based driver monitoring system registered the driver as looking at the main infotainment screen in the five seconds before the crash. The driver monitoring system only detected him looking at the road for a few fractions of a second at about 3.6 seconds before the crash, and again at about 1.6 seconds before the crash. He received two visual and auditory alerts to watch the road in the 30 seconds before the crash, but did not brake before impact.
The documents show that the driver told the San Antonio Police Department that he had been using the vehicle’s navigation system to travel to a charging station. One of the reports states that “he may have looked at the center screen console because directions to the charging station were displayed there.”
It’s possible he was nodding off before the crash, but nearly impossible to say for sure, based on the information released Wednesday. Ford’s system captured a still image of the driver two seconds before the crash, which the NTSB says shows him “sitting upright and facing forward, with his head resting (or nearly resting) on the headrest and slightly rotated to the right.” The driver obtained an attorney after the police interviewed him, and the attorney declined to allow him to speak with the NTSB.
The second crash
The second fatal BlueCruise crash happened in March 2024 in Philadelphia. The driver of a 2022 Mach-E was traveling on Interstate 95 at 3:16 a.m. local time when she crashed into a 2012 Hyundai Elantra, which was stopped on the left side of the road. The Elantra hit a 2006 Toyota Prius that had stopped in front of it.
Those two drivers were friends and had stopped for an unknown reason, and the Prius driver had gotten out of his car and was standing to the left of the Elantra. Both the Elantra and Prius drivers died, while the Mach-E driver sustained minor injuries.
The driver of the Mach-E, a 23-year-old woman named Dimple Patel, was intoxicated at the time, according to the local police. In late 2024 she was charged with DUI homicide. She was traveling at about 72 miles per hour before the impact despite being in a construction zone limited to 45 miles per hour. Zak Goldstein, a lawyer for Patel, told TechCrunch on Wednesday that the case is still pending and that a trial date has not been set.
The new NTSB documents show that the driver monitoring system in Patel’s car registered her eyes being “on-road” for the full five seconds before the crash. But the photograph taken two seconds before impact appears to show her holding a phone above the steering wheel and almost totally out of view of the driver monitoring system.
Ford did not immediately respond to a request to questions about whether it was aware of this potential shortfall of its driver monitoring system, or if the company has done anything to mitigate it.
What about automatic emergency braking?
Modern Ford vehicles are equipped with a forward-collision warning (FCW) system and automatic emergency braking (AEB), which are separate from BlueCruise.
In addition to warning that BlueCruise is “not a crash warning or avoidance system,” Ford also warns owners in fine print that FCW and AEB are “driver-assist” features that are “supplemental,” and “do not replace the driver’s attention, judgement, and need to control the vehicle.”
That may be because Ford sees real limitations in the capabilities of the technology that powers these systems — a mix of camera and radar sensors.
The NTSB says in one of the reports about the Texas crash that it held meetings with Ford staff about “AEB response to stationary targets in conditions similar to this crash.”
The Ford employees told the NTSB that, “[b]ased on the functional limitations of the industry’s sensing technologies, coupled with the scenario of vehicle travel speed, nearby vehicle maneuvers & environmental factors, Ford would not expect the current generation of radar-camera fusion AEB systems to detect and classify a collision target with enough confidence for the AEB system to respond.”
To that end, the NTSB noted in the documents released Wednesday that no vehicle subsystem applied any braking in either of the fatal crashes.
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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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