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Tesla’s goal of producing 1 million cars per year is closer than everyone thinks
In classic Tesla fashion, Elon Musk shared an almost insane goal back in 2016. While speaking with analysts in a conference call, Musk remarked that he believes Tesla has a shot at achieving a production rate of 1 million cars a year. This statement was met with much criticism, considering that just the year prior, Tesla delivered just over 50,500 vehicles.
As the US auto industry is starting what could very well be a long road to recovery from a pandemic, it is starting to become evident that Musk’s goal may end up being feasible after all.
The year has been cruel to the automotive industry. Back in April, North American car factories that are known to produce about a million vehicles a month ended up producing fewer than 5,000 units. But while the year has been painful for the car industry, some recovery started becoming evident in recent months. Just last month, some large automakers reported sales that beat their 2019 numbers, hinting that an upswing may be on the way.
Amidst this trend is the one outlier in the US auto industry: Tesla. The electric car maker has felt the full brunt of the pandemic, as shown in the extended closure of its Fremont Factory from mid-March to mid-May. Despite this, the company was able to show a profitable second quarter, and this past Q3, it delivered a record 139,300 vehicles, up 50% from Q2 2020. The company also produced 145,036 cars in the third quarter, up 76% from the second quarter.
What is rather remarkable is that Tesla has decided to stand by its initial goal of delivering half a million cars this 2020. This target was already ambitious without the pandemic. With the pandemic, the company’s refusal to adjust its delivery targets seems downright insane. Yet if the company’s Q3 and potential Q4 results are any indication, Tesla may actually be closer to its 1-million-car-per-year goal than expected.
Tesla has delivered about 318,000 vehicles so far this year. For Tesla to meet its goal of delivering 500,000 vehicles in 2020, the company would have to deliver over 180,000 cars in the fourth quarter. This is yet another record for the company, and it is one that would likely be challenging. RBC Capital Markets analyst Joseph Spak, in a statement to The New York Times, noted that while 500,000 cars is “not an unattainable goal,” achieving it now “seems increasingly difficult.”
Yet despite these challenges, the fact that Tesla seems to be in striking distance of its pre-pandemic 2020 delivery goal represents an incredibly notable shift for the company. Just a little over a year ago, after all, Tesla was a much different automaker. It was still an embattled EV company, seemingly scrambling to raise money while TSLA short-sellers circled like sharks smelling blood in the water. Tesla ultimately proved its critics wrong, posting four profitable quarters as of Q2 2020.
If Tesla could come close or achieve its goal of producing and delivering over 180,000 vehicles in Q4 2020, the company would only be 70,000 cars short of a 250,000-vehicle-per-quarter run-rate. Once that is achieved, hitting 1 million cars per year in both production and deliveries will only be a matter of time. Granted, this is a rather ambitious step, but one must note that Tesla is pretty much taking on 2020 with just one and a half factories.
Today, Tesla only produces cars in two sites: the Fremont Factory and Gigafactory Shanghai. And even then, Giga Shanghai is not yet fully ramped, with the facility yet to start Model Y production and the Model 3 line has only started operating with 3 shifts. This means that this year, Tesla has pursued its ambitious goals with a main factory in the US that was closed for over a month and a Chinese plant whose Phase 1 is now just hitting its stride.
These circumstances will likely change by next year. Tesla is in the process of building two new vehicle production facilities: Gigafactory Berlin and Gigafactory Texas. Both facilities are designed to produce high-volume vehicles, with the German plant manufacturing the Model Y and Texas building the Cybertruck, a vehicle that has received well over half a million orders, as per remarks from CEO Elon Musk.
Of course, Tesla’s production and deliveries still only comprise a small part of the auto market. Yet despite this, the company’s rapid rise and the equally quick emergence of the electric vehicle sector means that Tesla is poised to dominate an industry that is still forming. Michelle Krebs, an executive editor at Cox Automotive, a market research firm, said it best in a statement to the NYT.
“Tesla is the EV market right now. It’s still a tiny part of the market, and they are going to face more competition, but they are now well established,” she said.
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
