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Tesla’s race to full self-driving under pressure as GM Cruise gets $2.25B investment

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In a press release on Thursday, General Motors announced that SoftBank would be investing $2.25 billion in the automaker’s self-driving unit, GM Cruise Holdings LLC. The Detroit-based auto giant would also be investing an additional $1.1 billion into its self-driving division. These investments are aimed at boosting the unit’s capability to reach commercialization at scale by next year.

GM Chairman and CEO Mary Barra lauded the additional investments into the company’s self-driving unit. Barra noted in the press release that the support from SoftBank adds an “additional strong partner” as the automaker pursues its “vision of zero crashes, zero emissions, and zero congestion.”

GM Cruise currently operates a fleet of autonomous Chevy Bolt EVs in San Francisco that provide autonomous ride-hailing services to its employees. Plans are also underway to develop a Chevy Bolt EV variant that is specifically designed to be fully autonomous, with the vehicle not having pedals or a steering wheel.

SoftBank’s $2.25 billion investment into GM Cruise will be made in two tranches. SoftBank Vision Fund will first invest $900 million at the closing of the transaction. Once GM Cruise’s autonomous vehicles are ready to hit the market, Vision Fund will release the second tranche of $1.35 billion. This will ultimately result in SoftBank Vision Fund commanding a 19.6% stake in GM Cruise.

The new investment brings GM Cruise’s valuation close to $11.5 billion. The investment also brings to light the arguable undervaluation of Tesla’s Autopilot system, which has been on the consumer market for several years and has more than 150,000 vehicles from around the world that’s collecting data.

Still, GM Cruise’s new financial backing puts tremendous pressure on Tesla, which has seen its fair share of scrutiny as it steadily improves its Autopilot software in the public eye. Despite having collected reservation deposits for its Full Self-Driving capability that is yet to be released, Autopilot continues to improve and pacing toward full autonomy, according to CEO Elon Musk.

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During the Q4 2017 earnings call, Musk addressed the delays in the company’s planned coast-to-coast autonomous drive. The exhibition, which was set for December 2017, did not pan out, although Tesla could have accomplished the coast-to-coast trip, according to Musk. However, doing so would have required far too much “specialized code” that would only be fully effective on a particular route. During the earnings call, Musk stated that Tesla would likely conduct the autonomous coast-to-coast drive sometime this year. 

A Tesla Model 3 on Autopilot. [Credit: LivingTesla/YouTube]

One notable difference between Tesla and GM Cruise, and Google’s Waymo is the Tesla’s opposition to the utilization of LiDAR technology – a common fixture on self-driving cars. Instead of LiDAR, Tesla’s electric cars rely on a series of cameras, radar, and ultrasonic sensors to collect data on a vehicle’s surroundings. LiDAR, which is used in GM Cruise’s Chevy Bolt EVs and Waymo’s autonomous vehicles, boasts high spatial precision. Inasmuch as LiDAR can measure distances well, however, it performs poorly in bad weather.

Ultimately, Tesla’s ace-in-the-hole in the increasingly competitive self-driving car market could be its neural net and sharing of fleet data. There are roughly 150,000 AP2.0 vehicles on the road today, with each one providing valuable data to Tesla’s deep neural networks. Akin to the human brain, the more data that is available to train the neural network, the better its performance would be. 

Ultimately, Tesla’s neural net could be the difference-maker when the company goes all-in and competes in the self-driving race. Until then, however, the electric car maker could soon be taking a backseat to companies like GM Cruise and Waymo, both of which are accelerating their efforts at rolling out consumer-ready autonomous vehicles in the near future.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Cybercabs narrowly miss deadly Amazon cargo plane crash

An Amazon cargo plane crash near Miami’s airport stopped feet from dozens of Tesla Cybercabs.

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Photorealistic depiction of the Amazon Prime plane crash in Miami on Sep 3, 2026 near a fleet of Tesla Cybercab
Photorealistic depiction of the Amazon Prime plane crash in Miami on Sep 3, 2026 near a fleet of Tesla Cybercab

An Amazon Prime Air Boeing 767 cargo jet overran the runway at Miami International Airport on Sunday afternoon, killing five people and injuring five more. The jet, operated by North Carolina based carrier 21 Air as Flight 7598, touched down around 2 p.m. after arriving from San Juan, Puerto Rico, then crossed the airport perimeter, plowed across NW 67th Avenue and struck multiple vehicles before catching fire, according to the Associated Press.

Photos and video from the scene show the aircraft’s nose stopped within meters of a fenced staging lot holding dozens of gold painted Tesla Cybercabs, the steering wheel free robotaxi Tesla began putting on public roads in Austin last week. Miami-Dade Fire Rescue has confirmed the plane struck “multiple vehicles” but has not said whether any Cybercabs were among them, and neither Tesla nor airport officials have addressed the fleet directly.

The Cybercabs had not yet entered commercial service in Miami. Tesla’s existing Robotaxi operation there runs on modified Model Y vehicles and has been unsupervised since Ashok Elluswamy confirmed the detail on X in July.


Elon Musk offered the briefest of reactions. Replying to a Zero Hedge post about the Cybercabs sitting so close to the wreckage, he wrote a single word: “Weird.” He has not commented further, and Tesla has not issued a statement.

The timing puts Tesla’s newest vehicle near an unrelated but highly visible tragedy just days after its Austin debut, a launch that had already drawn scrutiny from federal regulators. The National Highway Traffic Safety Administration opened an audit how Tesla certified the Cybercab as compliant with federal vehicle safety standards, a process Teslarati covered after the vehicle’s September 3 launch event. That inquiry concerns the car’s lack of a steering wheel and pedals, not the Miami crash.

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Investigators from the FAA and NTSB are focused on the plane, not the parking lot beside it. Flight data reviewed by outlets including Simple Flying show the 767 touched down around 170 knots, well above the 135 to 140 knot range typical for the aircraft, though investigators have not determined a cause. Amazon said it is working with authorities and that its priority is the safety of everyone affected.

Whether any Cybercabs were damaged, and what Tesla plans for the fleet parked near one of the country’s busiest airports, remain open questions.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.

Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.

The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.

In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.

Credit: Tesla

Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.

The company has not released a city-by-city breakdown of the one million unsupervised miles.

The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.

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Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.

The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.

Credit: Tesla

Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.

The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.

The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.

That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.

Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.

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Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.

By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.

Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.

Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.

If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.

That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.

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