Tesla’s Supercharger network hit a record single-day energy consumption the weekend after Thanksgiving, meaning that more electric vehicle (EV) drivers were able to use the chargers in one day than ever before.
The Supercharging network reached a peak single-day consumption of 12 GWh on Saturday, November 30, as confirmed over the weekend by Max de Zegher, Tesla’s Director of North American Charging, in a post on X. The news came in response to some of de Zegher’s insights on recent price reductions in the Supercharger network, and as the company has been rolling out access to the network to the first non-Tesla brands throughout this year.
Tesla Supercharger network leads U.S. toward 2030 charging goal
Tesla Supercharger pricing updates, buildout ramp, faster charging, non-Tesla EV access
As for Supercharger pricing, de Zegher outlined two goals for Tesla following discussion on X highlighting that prices seem to have dropped in both Europe and the U.S. in recent weeks:
- Price low to accelerate EV adoption, we pass on cost efficiencies
- Be financially sustainable to invest in the network, growing dependable freedom to travel
Credit: Electric_Maik | X
Tesla has been ramping up the production and deployment of its Superchargers over the last several years. The company reached its 60,000th individual Supercharger stall worldwide in October, after surpassing 50,000 stalls just over a year earlier last September. Supercharger deployment also seems to have continued at a steady pace this year, despite layoffs affecting the charging team in April. Tesla later walked back some of the layoffs, even going on to re-hire de Zegher.
Earlier during the month of April, Tesla said that its pre-fabricated Supercharger units now take just four days from production to delivery and installation. Last month, de Zegher reiterated the advantages of pre-fab Superchargers, primarily including that it makes installation more quick, higher-quality, and more affordable, while those savings were being passed onto the drivers.
The never-ending hunt for efficiency matters to accelerate the transition to EVs,” de Zegher wrote in a post on X. “This is what shows up on-site: traditional build with excavations (left), vs pre-assembled Superchargers (right).”
Credit: Max de Zegher | X
In addition to the overall network buildout, Tesla officially announced plans to start rolling out V4 Supercharger cabinets in 2025, after beginning to roll V4 charging stalls throughout much of last year. The upgraded cabinets will give drivers charging at V4 stalls access to the higher charging speeds of up to 500 kW for the Cybertruck (or 1.2 MW for Tesla Semi) offered by V4 Supercharger stalls. Although Tesla hinted at this a few months ago with trials of faster charging speeds at select Superchargers, the news has been highly anticipated for years and will soon become a reality.
Tesla has also been working on improvements to the Supercharger network, including the buildout of more pull-through charging sites for vehicles that are towing, as well as making it easier to filter for these sites on the vehicle’s navigation system. Last month, the company also said it was aiming to make stall availability more accurate than ever, along with increasing long Supercharging cables, modifying stations to avoid blocked stalls from non-Tesla EVs with different charge ports, and pushing manufacturers to follow Tesla’s port locations.
In addition, the improvements come as non-Tesla EV brands including Ford, Rivian, General Motors (GM), Volvo, Polestar, and recently Nissan, can now charge at Supercharging stations in North America using an NACS adapter. Although the added EV brands will increase congestion at charging sites, Tesla’s efforts to implement improvements to existing sites and to continue building out the network will likely be felt by Tesla and non-Tesla EV owners alike—and it should definitely continue to help accelerate EV adoption.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Tesla offers 3 months of free FSD (Supervised), Supercharging for Q4 orders in North America
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
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