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Tesla’s Standard Range strategy for Model S, X puts pressure on Lucid
Tesla’s Standard Range strategy with its flagship Model S and Model X is going to put pressure on the automakers that are emphasizing performance with their vehicles, especially Lucid Group, which has targeted Tesla’s two luxury vehicles with its lineup of Air sedan configurations.
Last night, Tesla officially added Standard Range versions of the S and X to its Design Studio, offering its luxury, high-performance vehicles to customers for a hefty discount. The performance metrics remained the same, the only difference was a reduction in range — 310 miles for the Model S, and 269 miles for the Model X.
Tesla Model S and Model X now more affordable with Standard Range variants
These two new configuration options from Tesla will have those on the ropes between Elon Musk’s company and Lucid, run by former Model S team member Peter Rawlinson, at a crossroads. However, the decision may be easier than ever before.
But the consequences Lucid might feel from Tesla’s new, cheaper configurations are more explicit than ever before. Tesla’s Long Range and Plaid configurations of the S and X were priced relatively similar to Lucid’s top-of-the-line offerings in the Air sedan.
The Model S Plaid comes in at $108,490 before options, and the Lucid Air Grand Touring, the most comparable to the Model S Plaid (within the same price range), is $125,600.
The Model S Plaid has a 1.99-second 0-60 MPH rate, while Lucid’s Air GT will get you there in 2.6 seconds. It trumps the Model S in range, offering 516 miles, while Tesla’s option is still nothing to bat an eye at, with 396 miles.
But now, pricing comes into focus, and undercutting the Air’s Pure configuration that starts at $82,400 by pricing a new Model S at $78,490 may make things a little easier for consumers and a little more difficult for Lucid.
Lucid missed consensus estimates on vehicle deliveries in Q2, as 1,404 cars made their way to customers. FactSet expected 2,000 cars, and struggling with demand, the last thing it needed was an automaker like Tesla to undercut its products with something superior for less money.
In terms of range, the Air is the best that you can get. But it is about more than that, including the vehicle’s ability to function as a daily driver. Lucid customers have reported issues with software in their vehicles, and as it has been a pain point for many automakers in the early development of EVs, it is something people just don’t want to deal with.
Tesla has its own issues, of course. People have recently come forth with claims that their cars get significantly lower range than they are rated for, and, depending on the person, Elon Musk is a touchy subject.
However, some people don’t give a damn about what the CEO does, they just want a car that works well and is priced reasonably. Lucid may have taken a drastic step back with Tesla’s new Model S and Model X trims. Pressure is being applied to rivals of Tesla through the company’s various price cuts in nearly every market.
In the U.S., Tesla put everyone in the hot seat early this year with massive price cuts, and it was up to the manufacturers to play ball or take their chances. Ford followed with price cuts of its own, and Lucid did, too.
Lucid introduces new $7,500 discount as EV price war heats up
However, their strategy did not translate to an overwhelming number of sales, and Lucid cut its delivery expectations to just 10,000 units in Q1, despite having over 28,000 reservations for its cars.
Tesla’s new rollout could be a true gut punch to Lucid as its Model S and Model X Standard Range offerings will give consumers one more reason to pick the unequivocal leader in EVs.
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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
