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Tesla Giga Texas is a clean slate for launching its next-gen manufacturing processes
Tesla’s new Giga Texas facility will the second United States-based location for the all-electric automaker to manufacture its vehicles. With its first being located in Fremont, California, which has been in operation for Tesla since 2010, it may be planning to use its new Texas plant as a “clean slate” for manufacturing testing. With a widespread focus of the company being primarily set on making its vehicles faster, in larger amounts, and with better quality than ever before, a fresh spread of production lines in a new plant that is close to home is ideal for CEO Elon Musk, who announced the Texas plant during the Q2 2020 Earnings Call.
But apart from the new plant, the Q2 2020 Earnings Call included another big piece of information that was repeatedly discussed: manufacturing efficiency. With engineers who can help Tesla solve the manufacturing puzzle in high demand, the automaker can begin to set its sights on reaching a more sizable annual production and delivery rate.
However, it starts with the right personnel, and Tesla is surely searching for some highly-capable individuals who can help introduce new techniques and processes to the supply chain.
Tesla has been seeking individuals to help revolutionize its manufacturing processes. It starts with Giga Texas.
Manufacturing is where Tesla begins its process of delivering a car to a customer. After rounding up all of the material and necessary parts and people, a car can be built on production lines. However, there is always room for improvement, and as demand continues to grow in the face of an ever-changing automotive industry, Tesla needs to adapt. Without a doubt, the company recognizes that the key to keeping up with demand is building vehicles faster than ever before.
Musk, for one, is all-too-familiar with the struggles of building cars. When the Model 3’s introduction of “production hell” brought Tesla to a crossroads in 2017, it was evident that things needed to be solved. More lines and more personnel were brought in, but there is a better strategy than just adding more volume. There is a chance to revolutionize the way cars are built, making the entire process easier, more refined, and better for the company as a whole.
Sheer magnitude of the entire production system is hard to appreciate. Almost every element of production is >75% automated. Only wire harnesses & general assembly, which are <10% of production costs, are primarily manual.
— Elon Musk (@elonmusk) October 12, 2020
For Tesla, manufacturing half-a-million units of the same two cars every year is far from monotonous and repetitive. It is an opportunity to learn.
“…They sort of put manufacturing is like, oh, this is for some boring, just making copies, whatever. But actually, there’s far more opportunity for innovation in manufacturing than in the products itself, order magnitude,” Musk said during the company’s second-quarter Earnings Call. “If you work on manufacturing engineering, but you don’t just get force-fed a sandwich. You get to change the product design. So it’s super exciting.”
A focus on manufacturing has put Tesla at the forefront of automotive technology and design. Musk has even said himself that the company’s long-term sustainable advantage would be manufacturing. Eventually, other automakers will create and build a line of sustainable, functional, and operational EVs. However, Tesla will be able to put themselves ahead of the pack simply because the company’s manufacturing efficiency will be “head and shoulders” above everyone else.
Tesla will be absolutely head and shoulders above anyone else in manufacturing. That is our goal.” -Elon Musk
“Eventually, every car company will have long-range electric cars. Eventually, every company will have autonomy. But not every company will be great at manufacturing. Tesla will be absolutely head and shoulders above anyone else in manufacturing. That is our goal,” Musk said.
The problem is that testing these new techniques and ideas becomes difficult when you have two functional production plants and two others that are being constructed. Without a doubt, trying new things in terms of manufacturing could be detrimental to current lines and could interrupt the much-needed production efforts that are going on currently. So the only way to really test it is to build a new facility and try things on lines that have yet to be used.
This is where Tesla’s advantage lies with Giga Texas. It becomes the perfect place to test new techniques as lines have yet to be built, and none of the company’s current infrastructure is dependent on Giga Texas’ output. Not only is it a fresh start, but it is also close to home, and Musk will have the opportunity to oversee new production and manufacturing methods by simply hopping on his private jet and darting off to the Lone Star State.
Elon Musk giving YouTube tech reviewer Marques Brownlee a tour of the Fremont factory. (Credit: MKBHD/YouTube)
Tesla is currently looking for proven manufacturing leaders to take charge of the Giga Texas plant as well. This job won’t be business as usual or the same monotonous challenges day in and day out. Tesla is looking for a change, and it is dead set on coming up with new ways to make cars efficiently. As the company nears a 1 million vehicle a year production rate, Giga Texas may be the way Tesla sets itself apart from all other car companies by showing new and innovative techniques that could drive the company’s manufacturing practices to become more efficient and groundbreaking for the future.
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
