Tesla has the makings of a controversial stock. It’s a company with products that are loved by its users and hated by its skeptics, and it’s led by a man that’s both admired by his supporters and loathed by his critics. It was then no surprise when Tesla became one of the most-shorted companies in the market. But amidst Tesla’s rise last year and the release of its Q1 2021 vehicle production and delivery report, it appears that TSLA bears, or at least a good number of them, are starting to go extinct.
A good overview of how a company is perceived could be found in the overall stance of analysts covering the stock. Among the 41 analysts covering TSLA today, 15 have a “Buy” rating, 14 maintain a “Hold” rating, and 12 have a “Sell” rating, as per data from Bloomberg. This suggests that Tesla remains quite polarizing, as Buy ratings typically outnumber Sell ratings 10-to-1 for stocks in the Dow Jones Industrial Average.
Tesla (TSLA) sets new records with with 184k vehicle deliveries in Q1 2021
The same is true for TSLA’s price targets. Tesla’s bull-bear spread between its highest price target ($1,036) and its lowest ($135) stands at $901, or about 133% of the current $661.75 stock price. In the Dow Jones Industrial Average, the average bull-bear spread for stocks is less than 50%. While Tesla has maintained its polarizing nature in the market, however, there is one metric that suggests that a TSLA bear exodus is taking place.
There was a time not too long ago when Tesla’s short-interest ratio was about 25%, which meant that one in every four shares was borrowed and sold by investors betting on the company to fail. Such a short-interest ratio was insane, as the average for stocks in the S&P 500 is just about 3%. Today, this ratio stands at just about 6%, which is still higher than average but significantly lower than its figures three years ago.
As noted in a Barron’s report, there is an important mitigating factor in Tesla’s short-interest ratio, in the form of hundreds of millions in convertible bonds outstanding, most of which were issued long ago and are capable of being converted into TSLA stock at around $65 per share. Considering that Tesla stock is worth more than 10x that amount today, the convertible bonds have rallied over 500% over the past year.

While this is great for convertible bond holders, numerous bond investors are actually not interested in Tesla stock. Instead, some are convertible arbitrage investors, who buy convertible bonds and short the underlying stock. This way, the arbitrage trader is able to lock in a notable bond yield. S3 Partners managing director of predictive analytics Ihor Dusaniwsky has noted that the bonds are “mostly held by hedge funds.” He also estimates that about half of Tesla’s current short interest might be part of a convertible arbitrage strategy.
If the S3 Partners’ executive’s estimates are accurate, it would suggest that about 22 million Tesla shares are sold short, or about 2.9% of TSLA stock. This number is substantial, but it is small compared to the 200 million TSLA shares sold short back in 2019. This does not mean to say that Tesla bears have entirely given up, of course, as some will likely remain with their short position for a long time to come. However, the declining number of TSLA shares that are sold short does suggest that bears, or at least a good number of them, may be throwing in the towel.
Former Goldman Sachs Asset Management CIO Gary Black has noted that the declining number of TSLA bears may be due to the fact that some critical bearish arguments against Tesla are being soundly debunked. One of these is the notion that Tesla’s share of the EV market will get drastically smaller as soon as other automakers enter the electric car segment. Despite the noise by proponents of this thesis, the opposite has been true, as more and more car buyers tend to leave gas-powered vehicles–not other electric cars like Tesla–when they purchase EVs made by other automakers.
Disclaimer: I am long TSLA
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News
Tesla crosses major Unsupervised Self-Driving milestone
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.
News
Tesla Robotaxi will be a 24/7 service: here’s when
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.
News
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
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.