Tesla investors currently have the chance to vote on a number of proposals for the company’s upcoming shareholder’s meeting, with CEO Elon Musk’s 2018 pay package hanging in the balance after it was struck down by a Delaware judge. In recent weeks, a number of Teslarati readers have shared how they voted or plan to vote on the proposal, with about a month left to go until the meeting.
After Delaware Judge Kathaleen McCormick voided the previously approved $56 billion pay package for Musk in January, both Musk and the company have appealed the decision, and the board of directors has launched a vote on ratifying the package for the stockholder’s meeting next month. Voting has been open for the past few weeks, and following our recent story detailing one of Tesla’s largest shareholders as he criticized Musk and suggested voting “no” on the measure, many have said they voted in favor of the proposal.
Tesla also launched a website dedicated to explaining how shareholders can vote, and detailing the board’s voting recommendations. Crucially, the board has recommended “yes” votes on both proposals three and four, which concern Tesla’s potential move to re-incorporate in Texas instead of Delaware, and the pay package vote for Musk, respectively.
The annual shareholder’s meeting will be held on June 13, and shareholders can continue to vote on the proposals between now and then. Tesla has also shared a video on social media encouraging investors to vote in favor of this, and the company’s incorporation move from Delaware to Texas.
We have put forward two especially important proposals for our Annual Meeting of Stockholders—and we need your vote.
Protect your rights as stockholders & protect the value of your investment by voting FOR the ratification of the 2018 CEO Performance Award & FOR Reincorporating… pic.twitter.com/ONmB7oZfyM
— Tesla (@Tesla) May 20, 2024
How Teslarati readers are voting on Musk’s 2018 pay package (so far)
Following our recent stories, 88 respondents have reached out and told us how they were voting, or planned to vote, on proposal three regarding Musk’s previously approved pay package. Of them, about 66 percent said they had voted or would vote in favor of ratifying Musk’s 2018 compensation plan, while around 30 percent said they voted or would vote against it. The remaining respondents, representing just over 3 percent, said that they were still undecided on the vote.
Those who responded varied in their number of shares; while most did not include how many shares they were voting for, others ranged from having just a few shares to over 7,000 shares.
To be sure, this is an extremely small sample size, especially given the sheer number of shareholders and Tesla shares out there. This also does not take into consideration the number of shares owned by each respondent, though it gives a small overview of how individual Tesla shareholders (who took the time to respond to recent stories) voted on proposal three. In addition, shareholders still have a few weeks left to cast their votes, and many could still be mulling over their vote on the proposal.
The board explains its recommendation for shareholders to vote “yes” by citing the fact that Musk already performed the work needed to earn the previously approved pay package. Some have noted that the CEO isn’t currently being paid for his past several years with the company, as a result of the package being struck down. Others have criticized Musk and Tesla for recent layoffs and his sharing of political views, which they say is why they would vote “no” on the proposal.
“Elon has not been paid for any of his work for Tesla for the past six years… That strikes us, and the many stockholders from whom we already have heard, as fundamentally unfair,” wrote Board Chair Robyn Denholm on the subject last month.
“We do not think that what the Delaware Court said is how corporate law should or does work. If it is legally advisable, we suggest simply subjecting the original 2018 package to a new shareholder vote.”
Musk also defended his pay package following the January decision, as well as his hopes for more voting control amidst the rapid development of artificial intelligence (AI) products.
Note: This article will be updated periodically up until Tesla’s Annual Stockholder Meeting on June 13. Last updated 6/4/24.
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What are your thoughts? Have you voted on proposal three of the upcoming meeting, and if so, how did you vote? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
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
