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How consumers view robotaxis ahead of Tesla’s ‘We, Robot’ event: study
Ahead of Tesla’s Robotaxi unveiling event on Thursday, one firm has released data suggesting that early consumer experience with driverless ride-hailing platforms has generally been positive.
On Tuesday, J.D. Power shared the results of its 2024 U.S. Robotaxi Experience study, which found that, on average, consumers ranked driverless ride-hailing experiences an 8.53 out of 10. In its second year, the study surveyed 3,773 respondents along with 773 consumers who lived in cities such as San Francisco, Los Angeles, Phoenix, Las Vegas, and Dallas, where robotaxi services are already available.
Perhaps unsurprisingly, consumer confidence in robotaxis was about substantially higher in those who had prior experience in one of the self-driving vehicles, landing at 76 percent, and well above the 20 percent for those who had not. Consumer confidence was also improved by public exposure to the technology, with 34 percent of those who had not ridden but had witnessed self-driving vehicles expressing some level of trust and acceptance.
Notably, these results suggest that sheer experience with robotaxi platforms — both riding inside them and seeing them on the street — tends to give consumers greater public trust in these driverless solutions. The results also come as the market for driverless ride-hailing continues to grow, as Tesla and other companies ready their commercial robotaxi offerings.
The study featured five categories, including comfort and convenience, initiating rides, taking rides in the given vehicle, service availability and cost, as well as overall vehicle technology. Responses for the study were fielded in August.
What's special about FSD Supervised is that it works anywhere in the US & Canada.
No high definition maps, no geofence.
This means you can even use it in places that no Tesla has never traveled to before
— Tesla AI (@Tesla_AI) October 4, 2024
The key findings also included that consumers regularly seek out safety features and easy access to authorities, such as the inclusion of an emergency button in robotaxis. Service area coverage and cost remain barriers for some consumers who haven’t tried the services out yet, with the vast majority of companies employing a mapping strategy to certain service areas.
“The robotaxi segment is still anyone’s game, given that most people are not familiar with robotaxi brands and haven’t formed a clear associative imagery,” said Kathleen Rizk, J.D. Power’s Senior Director of User Experience Benchmarking and Technology.
Other key findings include that consumers strongly value how well vehicles navigate traffic laws, and how well they perform when maneuvering regular traffic. In addition, 77 percent of rides said they would prefer a driverless robotaxi to a ride-share with a human driver when needing to have a private conversation.
You can view J.D. Power’s full study results for the 2024 Robotaxi Experience Study on the firm’s website here.
Currently, driverless ride-hailing services and tests are operated by the Google-owned company Waymo, May Mobility, Zoox, and Motional. Meanwhile, General Motors (GM) subsidiary Cruise was forced to halt self-driving operations last fall after an accident with a pedestrian, though it’s currently aiming to relaunch services by the end of this year.
While Tesla offers its Full Self-Driving (FSD) Supervised to customers, it doesn’t currently have the software available to consumers as a driverless ride-hailing system. However, the company is widely expected to unveil a ride-hailing service during its “We, Robot” event on Thursday, and it has already teased a mobile app ride-hailing platform.
The company’s FSD Supervised, eventually expected to become Unsupervised as Tesla targets the cars becoming safer than human drivers, is also one of the only self-driving softwares out there that doesn’t utilize area mapping. For that reason, Tesla has touted its ability to scale FSD beyond mapped-out service areas, especially when paired with the ongoing training of its AI neural network through real-time driving footage.
Apparent camouflaged Tesla Robotaxi prototype sighted at Warner Bros. Burbank
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Tesla reveals first vehicle model to receive Starlink integration
Tesla has evidently revealed which of its vehicle models will be the first to receive Starlink integration: the Cybercab.
Tesla’s Santana Row showroom now has a full-fledged display of the Cybercab, with an extensive bit of information hung around an exhibit that seems to reveal the vehicle’s newest feature: an integrated Starlink antenna that will enable secure and reliable internet access during trips.

Credit: @Starscream_SJC | X
Cybercab is geared toward autonomous ride-hailing for one or two passengers. The production units rolling off the lines at Gigafactory Texas are built without steering wheels or pedals, meaning when public rides begin, passengers will not need to interact with a human being or control the vehicle in any way outside of what appears on the center screen for their entertainment during the ride.
Tesla Santana Row will be reopening tomorrow with a full focus on self-driving. Everything in the showroom is about Robotaxi and Cybercab with stats and information about the technology. The Cybercab on display is the production model. pic.twitter.com/yIUYdOGFOp
— Shaun Cassidy (@Starscream_SJC) July 20, 2026
Along the display, Tesla wrote this message about Cybercab:
“Cybercab is built for autonomy. It has no steering wheel, no side mirrors, and no pedals. It goes where you tell it to go and how you want it to, so you can relax along the way. It is hyper aware and responsive to your surroundings, monitoring other drivers, responding to emergency vehicles, utilizing its expertise in the rarest scenarios to help keep you safe.”
Tesla has been teasing a potential Starlink integration for quite some time now. In December, the company hinted at potential Starlink internet terminal integration within its vehicles in a patent that described a vehicle roof assembly with integrated radio frequency (RF) transparency.
The company wrote in its patent application that a new roof design built with materials that differ from the standard metallic or glass elements used in today’s cars would allow it to integrate modern vehicular technologies, in particular, ones that require radio frequency transmission and reception.
Tesla suggested high-strength polymer blends, like Polycarbonate, Acrylonitrile Butadiene Styrene, or Acrylonitrile Styrene Acrylate.
This is the first time we’ve seen Tesla officially confirm the Starlink integration into the Cybercab. It’s not much of a surprise considering the company’s intention behind the Cybercab, which is to make travel autonomous.
Productivity will now be at a maximum during a work-related commute, while the center screen could be utilized for Netflix or potentially even live TV for those who are heading to dinner or to a fun activity.
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SpaceX adjusts Starship Flight 13 test launch target date once again
SpaceX has updated its target for the thirteenth integrated flight test of Starship, aiming for as early as Thursday, July 23. The 90-minute launch window opens at 5:45 p.m. CT from the company’s Starbase facility in South Texas.
The target flight was initially rescheduled for today, but SpaceX pushed it back again.
This latest adjustment follows an aborted attempt earlier in the week and reflects the iterative, rapid-development approach that has defined the Starship program. With the vehicle already stacked and ground teams making final preparations, the mission represents another step toward proving the full reusability of the world’s most powerful rocket system.
Now targeting to launch Starship’s thirteenth flight test as early as Thursday, July 23 → https://t.co/Rp7VwBzpWx pic.twitter.com/Y0YNzfc5zk
— SpaceX (@SpaceX) July 19, 2026
The original launch attempt on July 16 was scrubbed at T-0 when several Raptor engines on the Super Heavy booster failed to ignite properly. The automatic abort system triggered just as the engines began their startup sequence, preventing liftoff.
SpaceX CEO Elon Musk confirmed that some engines did not start as expected, prompting the decision to replace two Raptors on Booster 20 to ensure reliability. The issue occurred despite a successful full-duration static fire earlier, highlighting the complexities of coordinating 33 engines under flight conditions.
This cautious approach underscores SpaceX’s commitment to safety amid an aggressive test cadence.
Flight 13 builds directly on the lessons from Flight 12 in May 2026. The Super Heavy booster’s primary goals include a successful liftoff, ascent, stage separation, boostback burn, and controlled splashdown in the Gulf of America.
Hardware and software modifications address the off-nominal flip and boostback burn problems from the prior flight, where propellant slosh and engine relight issues led to an uncontrolled impact.
For the Starship upper stage, objectives include deploying 20 operational Starlink V3 satellites, the first real payload of this type, performing a single Raptor engine relight in space, and executing a controlled entry, descent, and splashdown in the Indian Ocean. Propulsion upgrades aim to improve engine-out capability after one vacuum Raptor was lost on Flight 12.
Additional test elements focus on heat shield performance. Six satellites carry cameras to image the tiles during flight, while white-painted tiles and upgraded attachments on flaps and the aft skirt will gather data for future reusability.
The FAA completed its mishap investigation into Flight 12 earlier this month, clearing the regulatory path.
This suborbital mission, the second with V3 vehicles, advances Starship toward operational missions, including potential crewed flights and support for NASA’s Artemis program. Success would mark significant progress in rapid reusability and satellite deployment from the massive system.
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Elon Musk debunks $52 billion SpaceX-NVIDIA GPU deal
Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.