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Tesla’s battery strategy will be key to Cybertruck and Semi’s market disruption
Elon Musk has remarked that Tesla has arguably the most exciting product roadmap of any company today. With vehicles like the Semi and the Cybertruck coming in the pipeline, this statement rings true. But things will not be as easy as simply setting up production lines for the upcoming vehicles. For Tesla to properly ramp the Semi, for example, the company would have to make sure that it can get enough cells for the vehicle first.
Producing electric cars is no easy task, and a lot of the challenges in EV making are connected in one way or another to vehicles’ batteries. This is something that is being learned by veteran carmakers like Jaguar today, as inadequate supply from battery companies like LG Chem has resulted in a halt of production for premium EVs like the I-PACE. Tesla is certainly aware of the battery supply challenges that EV makers face. This is one of the reasons why Gigafactory Nevada was constructed.
Giga Nevada was built to support the company’s Model 3 ramp. Designed to manufacture the 2170 cells of the Model 3 with battery partner Panasonic, the massive facility forms the backbone of Tesla’s first foray into the mass market. But the story lies far beyond the Model 3 today. Tesla has an even higher-volume vehicle coming, the Model Y. The Cybertruck will likely sell in large volumes too, provided that the market embraces it. Just like the all-electric pickup, the Semi might see sufficient demand from the trucking market once it’s released as well, considering the cost benefits that the vehicle offers.
Tesla is in a constant state of change, and this cannot be represented better than the company’s batteries. President of Automotive Jerome Guillen has noted that Tesla’s batteries are never static since they’re always being improved. Today, it is becoming more and more evident that Tesla’s batteries are among the best in the industry, particularly when it comes to energy density. Coupled with its vertically-integrated software, Tesla’s batteries can give vehicles impressive range even if they are not too large.
The Model 3, for example, can squeeze out over 320 miles of range from a 75 kWh battery, and the Model S Long Range Plus can get 390 miles from a 100 kWh pack. This matters a lot, and it shows just how far ahead the company is when it comes to its batteries and their energy density. And this, ultimately, will likely help the company secure enough battery cells to support the ramp of its upcoming EVs, including the Semi and the Cybertruck, both of which are large vehicles that would usually require a massive pack to hit their target range.
Tesla lists the Semi with a range of 300 to 500 miles. The company never announced the size of the Semi’s battery pack, but considering that the vehicle is a Class 8 truck that can accelerate from 0-60 mph in 20 seconds with a full load, speculations for the vehicle’s battery from the EV community included estimates that were as high as 1 MWh. The same concept applies to the Cybertruck. The vehicle is very heavy, and it is expected to have over 500 miles of range. To get this range, a large battery pack would usually be required.
But with Tesla’s constant innovations on its batteries, this does not necessarily have to be the case. Considering that Tesla is closing in on 400 miles per charge on a 100 kWh pack with the Model S, there is a good chance that its next vehicles like the Cybertruck and Semi will be equipped with fewer, but more energy-dense cells than initially expected. Tesla has pretty much developed the skill of drawing out as much range as possible from every cell in an EV, so it’s not too farfetched to infer that the company will be very efficient with the batteries of its upcoming vehicles.
More energy-dense batteries will be key to lowering production costs as well. Tesla may be drastically reducing its battery costs, but the packs themselves still comprise a huge portion of each of its vehicles’ prices. If Tesla can use slightly smaller packs that are still capable of providing optimum range, Tesla can make sure that its EVs like the Semi and the Cybertruck will be as competitive as possible when they enter the market.
The Tesla Semi and the Cybertruck are competing in the trucking and pickup market, two very lucrative segments in the automotive industry. Interestingly, both segments are also ripe for disruption, with most veterans such as Freightliner and the Ford F-150 sticking to tried and tested strategies to thrive today. Tesla needs a key to ensure that it can have a fighting chance when it enters the trucking and pickup segment with the Semi and Cybertruck. If challenges faced by electric car makers today are any indication, it appears that batteries and their energy density will be the difference-maker. Fortunately, these just happen to be two things that Tesla has been obsessively pursuing since the company was founded less than 17 years ago.
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
