Tesla’s AI Day is tomorrow, and the company has been largely silent about details of the upcoming event. Considering how artificial intelligence plays into Tesla’s energy and electric vehicle business, it is no surprise that there is some excitement for AI Day. With this in mind, here are some things that Tesla watchers could expect for the highly-anticipated event.
Updates from Autonomy Day
Tesla bull and Loup Ventures Managing Partner Gene Munster previously noted that AI Day would likely be a “second edition” of sorts for the company’s Autonomy Day event back in 2019. The invitations that have been sent for AI Day suggest that the company is looking to expand its AI use to more than just vehicles. This is something that Elon Musk has mentioned in the past.
During the Q1 2021 earnings call, Musk stated that in the long run, people would start perceiving Tesla as an “AI robotics company” instead of a carmaker or battery storage producer. “I think long term, people will think of Tesla as much as an AI robotics company as we are a car company or an energy company. I think we are developing one of the strongest hardware and software AI teams in the world,” Musk said.
If AI Day does become a follow-up to Autonomy Day, however, Tesla would likely have to discuss some of the updates it has rolled out to its vehicles and self-driving efforts since 2019. These include the removal of radar for the Model 3 and Model Y, which Musk expects would ultimately accelerate the company’s progress towards autonomous driving.
Project Dojo Details
Tesla’s Dojo Supercomputer has long been teased, but its specs and capabilities have never really been revealed by the company. AI Day would be a great venue to formally introduce the world to its supercomputer and its capabilities. Dojo is crucial to Tesla’s self-driving efforts as the computer is tasked with training neural networks that would, in turn, enable the company’s vehicles to behave even more like cautious and confident human drivers on the road.
Gene Munster noted that based on Elon Musk’s previous comments, it appears that Tesla has plans to make Dojo available to other automakers in the future. This should help not just Tesla but the entire auto industry transition into the self-driving era. Musk definitely seems optimistic about Dojo’s contribution to Tesla’s self-driving efforts, which have been both highly praised and criticized to date.
“Dojo is really a — it is a supercomputer optimized for neural net training. We think Dojo will be, probably in order of magnitude, more efficient on, say — not sure what the exact right metric is, but say, per frame of video, we think it will be an order of magnitude more cost efficient in hardware and in energy usage for a frame of video compared to a GPU-based solution or compared to the next best solution that we’re aware of. So then possibly that could be used by others,” Musk stated.
Beyond Automotive and Energy
Tesla already uses AI on its electric vehicles, and the company’s products like Autobidder show that artificial intelligence could also be invaluable for the energy sector. Interestingly enough, Tesla seems to be intent on expanding beyond these markets, with the company teasing more AI-based efforts in its formal invitation.
“This invite-only event will feature a keynote by Elon, hardware and software demos from Tesla engineers, test rides in Model S Plaid, and more. Attendees will be among the first to see our latest developments in supercomputing and neural network training. They’ll also get an inside look at what’s next for AI at Tesla beyond our vehicle fleet,” Tesla wrote.
Elon Musk has hinted at other “smart” products in the past. During his first appearance at the Joe Rogan Experience podcast in 2018, Musk has stated that it would be great to develop a “Tesla Smart Home” that includes an efficient HVAC system. Musk mentioned this once more in March 2020, when he noted that creating smart and energy-efficient home products would be great since Tesla is already developing a lot of the needed tech for its vehicles.
TSLA Volatility
Tesla watchers and investors would likely have to get ready for some volatility after AI Day tomorrow. While Tesla’s dedicated events such as Autonomy Day and Battery Day were filled to the brim with information, and while both events were mainly for recruitment, TSLA stock ended up dipping the day after. The day after Battery Day in September 2020, for example, TSLA shares dropped 10% as critics pounced on the 4680 cells’ timetable and the fact that the company did not show a physical cell during its event. It will not be surprising if the same thing happens on Friday after AI Day.
Tesla’s AI day is set to be held at Palo Alto, CA, on August 19, 2021, at 5 p.m. PDT. The event would likely be livestreamed as well.
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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 launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
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