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Why Tesla Model Y tax credit inclusion is good for some and bad for others
The Tesla Model Y complete lineup was recently added to the IRS list of qualifying vehicles that will give buyers a $7,500 tax credit. While it may seem like the company’s huge price cuts coupled with the tax credit would be good for everyone, it spells bad news for competitors that offer comparable EVs in the same category.
On Friday, the Model Y’s entire lineup was added to the list of qualifying vehicles after the U.S. Department of Treasury said, “The change will allow crossover vehicles that share similar features to be treated consistently.” The Model Y’s five-seat configurations did not reach the weight requirement to be considered SUVs and were put in another category that included “All Other Vehicles.” The price limit to qualify for the tax credit differs by $25,000: $55,000 for All Others, and $80,000 for SUVs.
Tesla Model Y’s complete lineup now qualifies for EV tax credits through Inflation Reduction Act
The inclusion is obviously a good thing for consumers, and events that transpired afterward are good for the investors. With Tesla’s $13,000 price cut on Model Y configurations in early January, the automaker had quadrupled the vehicle’s addressable market. At the same time, it had offered a substantial discount to some who could already justify the purchase, and if they were on the fence, there’s no denying that this inevitably won them over.
Lower prices mean more sales. The Model Y was already making waves in terms of Tesla’s total concentration of sales by model, and it has routinely competed with the Model 3 in various markets and won in many of them. However, the cuts meant Tesla would have to eat some of its margins, which were incredibly high, trailing only Ferrari and BMW in that category. Analysts and more hellbent investors who are obsessed with the company making as much money as possible may not have loved the price cuts, and Tesla obviously will not be making as much of a profit per vehicle. However, on Saturday, following the Model Y’s inclusion to the qualifying vehicles list, Tesla bumped up prices by $1,500.
Is it the $13,000 the automaker trimmed in January? No, absolutely not. But Tesla is already making considerable money on each unit, and the company’s industry-leading tech and Supercharging network are inevitably what will win consumers over, especially as the vehicle is still vastly more affordable than before. With Tesla reaching 1.313 million deliveries last year in 2022, the company has pulled out all the stops to get sales figures off to a fast start in 2023, with various discounts and other programs to push vehicles out the door.
Credit: Tesla
The old saying goes that one’s trash is another’s treasure, and in this instance, the competition is getting the trash while consumers are getting the treasure. Tesla’s massive price cuts and now qualifying tax credits make it a pretty simple choice for consumers. Without a doubt, one of the biggest issues with EV ownership, or at least in the broad consensus of the average consumer, is “Where will I charge my EV?” While this question still makes me chuckle to myself and want to say, “That thing you live in can do it. You know? Your house?” It’s much more complex than that.
A charging network is really what sets Tesla apart from the others. Some consumers may have been willing to spend a little extra to have the confidence that they could be surrounded by charging options, and Tesla is really the only automaker that has such broad options in terms of charging that it really doesn’t have a current competitor. If Tesla does end up opening up its network to other EVs, then this conversation changes. Of course, other companies out there have a robust infrastructure that is quickly growing. Still, these companies are often plagued by maintenance issues, rising costs, and a less-than-desirable experience.
Tesla is already controlling a majority of the U.S. market for electric vehicles, and there are worthy competitors. Volkswagen, Ford, and General Motors all have a wide variety of strategies in their plans to dethrone Tesla. Meanwhile, Polestar, Rivian, Lucid, and other startups are still working through their issues, which are usually money-related.
Tesla is well ahead of the curve, especially as it has already figured out mass production and launched a lineup of competitive vehicles with plans of more styles and applications to come. The inclusion of the Model Y, which CEO Elon Musk believes will be the best-selling car in the world one day, to the tax credit program only spells disaster for the companies attempting to catch up. Meanwhile, Tesla sits comfortably in the driver’s seat, and there does not seem to be any true comparison in current sight.
Disclosure: Joey Klender does own Tesla stock.
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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
