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Tesla’s next vehicles have the potential to usher in the extinction of gas cars
During the second quarter earnings call, Elon Musk tentatively confirmed that Tesla would be making a compact car and a vehicle with high capacity. Granted, it would probably take a few more years before such vehicles are produced, but one thing seems certain. Considering Tesla’s speed and pace, it would not be surprising if Tesla’s compact car and high capacity EV causes the extinction of the internal combustion engine.
Tesla’s current lineup of vehicles, which comprise the Model S, Model 3, Model X, and Model Y, are great EVs, but they are still fairly large for their class. This includes the Model 3 and the Model Y, Tesla’s “smaller” vehicles in its lineup. This, together with the vehicles’ premium price, end up blocking the company from reaching its full potential in the auto market. With a compact car and a high capacity vehicle, however, things could drastically change for Tesla.
Compact and High Capacity EVs
Tesla has mentioned the creation of a smaller car in the past, and more recently, the company has tapped into China’s creative minds for help in designing its compact car. This vehicle is expected to be designed and manufactured in China, but the opportunities for such a car go far beyond the country. Compact cars have a dedicated following, after all, and for good reason.
A higher capacity vehicle is also a key part of the mass market puzzle that Tesla could tap into. Higher capacity vehicles could come in many forms, like vans that could either transport people or cargo. Fellow EV maker Rivian is already involved in the development of electric vans, thanks to its partnership with Amazon. It would then not be surprising if Tesla also dips its feet in the development of its a similar line of vehicles, especially those that it could use for its own operations.
Opportunities in Developing Countries
Tesla’s current S,3,X,Y lineup are still premium cars through and through, and one thing that they cannot do is compete in a market that prioritizes cost. These markets, such as India and other southeast Asian nations, actually hold a lot of potential for the company. However, for Tesla to enter and compete in these regions, it would have to learn how to play the affordability and practicality balancing game.
Vehicles that thrive in the compact car segment usually offer the best performance and features within a limited price range. The Honda Fit/Jazz (or at least its initial iteration) is a good example of this, as the vehicle was affordable, practical, and still fairly fun to drive. If Tesla could create a vehicle that’s far more affordable than the Model 3 (perhaps in the $20,000 range), then the company could tap into a segment that is, at least for now, still dominated by legacy auto.
The same is true for high capacity vehicles. There is a reason why the compact MPV (multi purpose vehicle) segment exists, after all. MPVs are low cost, relatively bare bones vehicles that are designed to carry as many people or cargo at the lowest price possible. This usually results in vehicles that are not optimized for performance, with small engines and high seating capacity (think a 1.5 liter engine with seven seats). The Toyota Kijang, an example of this type of vehicle, has been around for decades, and for good reason. It simply has a very stable following.
The Tesla Effect and the Extinction of ICE
Interestingly enough, Tesla is already in the process of lowering its production and battery costs. This is one of the reasons why the company has been aggressively acquiring companies that are working on bleeding edge battery tech. Elon Musk is aware of this, as he noted during the recently held earnings call.
“It is important to make the car affordable. We will not succeed in our mission if we do not make cars affordable. Like the thing that bugs me the most about where we are right now is that our cars are not affordable enough. We need to fix that,” Musk said.
Fortunately for Tesla, it has now reached a point where the company is now being emulated by the legacy automakers in an attempt to catch up in the EV transition. The transition to electric cars is pretty much undeniable at this point, so it is now up to Tesla to set the pace. With this “Tesla Effect” in mind, it would be best if the electric car maker could expedite its expansion into other vehicle segments as soon as possible. Doing so would allow the company to accelerate the transition to sustainability.
After all, with vehicles that start at around $20,000 and with high capacity EVs that can transport numerous passengers, there will be very little reason for customers to buy a gas powered vehicle anymore. By taking on and competing in the compact and high capacity segment, Tesla could, effectively, usher in the extinction of the internal combustion engine.
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.
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.
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.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
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.
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.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
