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Tesla Energy’s true potential shines as study shows Gen Z prefers renewables, not coal
During the second quarter earnings call, Elon Musk highlighted that the potential of Tesla Energy exceeds that of the company’s automotive business simply because the utility sector is much larger than the car industry. Fortunately for Tesla, it appears that the upcoming ramp of its energy business is coming just at the right time, as a recent study has determined that members of Gen Z are far more interested in careers relating to renewable energy.
Morning Consult, a US-based data intelligence firm, recently conducted a climate change study on members of Generation Z aged between 13 and 23. The study was conducted on August 21-23 and it involved about 1,000 participants, with a margin of error of 3 percentage points. In a post about its survey, the data intelligence firm noted that overall, the study revealed that Gen Z accepts climate change as a fact, and a significant number of them are willing to do something about it.
As could be seen in the graphic below, 26% of the respondents in the study believe that humans have the capability to stop climate change. A larger number, 49%, believe that while climate change could not really be stopped, it could be slowed down. Encouragingly, only 2% of the study’s respondents stated that they do not believe climate change is happening, and only 8% stated that climate change is beyond humans’ control.
What is particularly notable in the study’s results was the fact that 73% of the survey’s respondents stated that they are “very” or “somewhat” concerned about the impact of climate change on the environment. The data intelligence firm noted that these values would likely have an effect on policies in the near future. “While many of the poll’s respondents are not yet able to vote, as the generation that has given the world activists such as Greta Thunberg and Xiye Bastida comes of age, its values will be of increasing relevance to policymakers,” the firm noted.
Amidst the data gathered by the intelligence firm, one particular point stood out. Gen Z-ers, most of whom have lived through a time when the effects of climate change have been more prominent, are focused on careers relating to sustainability. When asked about their career prospects, the vast majority of the study’s respondents stated that they are interested in sectors that contribute to the fight against climate change, like solar and wind. Sectors whose emissions harm the environment such as coal, on the other hand, hold very little appeal.
Based on the results of Morning Consult’s study, 50% of the respondents noted that they were interested in pursuing a career in the solar industry. Careers in wind and hydropower are a close second and third, with 43% and 41%, respectively. Interestingly enough, the coal industry, a key driver of the industrial age, only holds appeal to 15% of the study’s respondents, making it the least popular career option for Gen Z members. Alternatives to renewables like solar and wind, such as nuclear power, also seem to hold little appeal for the survey’s respondents.
“Fifteen percent of Gen Z-ers, meanwhile, expressed interest in a career in coal, with 65% saying they were not interested. The natural gas sector — which proponents have long touted as facilitating the economy’s transition to more renewable energy — was also unpopular, with 29% interested and 52% not interested. This is consistent with the industry’s own polling in 2017, which has prompted concern from energy executives about how to recruit new talent in the coming decades. And while nuclear energy has similarly been championed as playing a crucial role in the transition, the sector proved statistically as unpopular as natural gas,” the intelligence firm noted.
With this shift in mind, companies like Tesla are perfectly positioned as the preferred places of work for the next generation. As Gen Z steps away from fossil fuel-based jobs, the opportunities for businesses such as Tesla Energy become larger. Companies that actively address the effects of climate change, after all, are far better alternatives to workplaces whose practices actively destroy the planet. Perhaps this is already starting in the automotive sector, as companies like Tesla are becoming increasingly popular among engineering graduates. Beyond the appeal of working for a rockstar CEO like Elon Musk, Tesla’s disruptive approach and its open, ambitious mission could very well be considered attractive by prospective employees.
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
