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An inauguration day primer on leadership from Elon Musk to Donald Trump
On Inauguration Day, individuals all over the world were wondering what the U.S. presidency of Donald Trump will be like. The real estate tycoon, turned reality TV star, turned President of the United States, has met twice with serial tech entrepreneur Elon Musk and would be wise to take some lessons from his leadership model. Musk’s model of leadership has been the driving force behind innovative businesses and he has single-handedly changed how people around the world view energy and transportation.
Explain how your vision can help humankind. Elon Musk’s powerful vision, as articulated in his latest Master Plan, has always contained diverse elements that fit into a larger whole. Musk wants to accelerate the advent of sustainable energy, so that “we can imagine far into the future and life is still good.”
Mr. Trump can capture a somewhat dissatisfied electorate by laying out a vision that benefits all.
Define your terms. “Sustainability” is a word that’s now overused and applied differently, depending on purpose. For Elon Musk, “sustainable” energy is a concept that matters for everyone. He applies it to an energy economy that he argues “will run out of fossil fuels to burn and civilization will collapse.”
If Mr. Trump’s first 100 days resembles his campaign promises, his governmental reform agenda should be clear, concise, and digestible for all the electorate.
Live by what you preach. Musk has often been critiqued for his nontraditional approaches to business, including investments and borrowing. Musk said, “If I ask investors to put money in, then I feel morally I should put money in as well. I should not ask people to eat from the fruit bowl if I have not myself been willing to eat from the fruit bowl.” He is reported to have invested over $100 million of his own money into SpaceX, around $10 million into SolarCity, and $55 million into Tesla Motors, Inc. Even when his companies have experienced volatility, Musk has been resolute in his commitment and self-confident in his decisions.
Never a shrinking wallflower, Mr. Trump, nonetheless, will have to demonstrate that he can empathize with U.S. citizens of all demographics and beliefs by making sacrifices for the good of all.
Be honest and forthright. In order to make his vision of mass produced fully electric cars a reality, in 2010, Tesla was awarded a milestone-based loan, requiring matching private capital obtained via public offering, by the DOE as part of the Advanced Technology Vehicle Manufacturing program. Tesla repaid the full loan facility with interest in 2013, becoming the only American car company at the time to have fully repaid the government. “I would like to thank the Department of Energy and the members of Congress and their staffs that worked hard to create the ATVM program, and particularly the American taxpayer from whom these funds originate,” said Elon Musk. “I hope we did you proud.”
Mr. Trump, too, should make it a habit to take the high road whenever possible, graciously accepting challenges and thanking individuals across both sides of the U.S. political spectrum for their help.
Do it yourself. Musk’s experience is grounded in his education at the University of Pennsylvania, where, at the age of 24, he received a Bachelor of Science degree in physics from the College of Arts and Sciences, and a Bachelor of Science degree in economics from the Wharton School of Business. He worked toward but did not complete a doctorate in applied physics and materials science at Stanford University. Musk has applied his training as an applied engineer into the systems level of design. He is said to work 100 hours per week, side-by-side with his engineers. He is known to test-drive changes being made to Tesla vehicles before it goes out to customers.
Mr. Trump, who is said to be more of a delegator than a decision-maker, would be well-advised to get into the details of governance, to be less of a talker and more of a doer in the model of Elon Musk.
Back up your policies with peer-reviewed data. Musk argues that the move away from fossil fuels is inevitable, and “virtually all scientists agree that dramatically increasing atmospheric and oceanic carbon levels is insane.” According to NASA, 97% of climate scientists agree that climate-warming trends over the past century are very likely due to human activities, and most of the leading scientific organizations worldwide have issued public statements endorsing this position.
Mr. Trump should look to multi-layered, data-driven sources as the foundation for his policies in order to best serve U.S. citizens.
Seek out and listen to feedback. Musk looks to other innovators as sources of ideas and systems analysis. He retains contact with former business associates and considers their opinions and approaches against his own. Constantly engaged in self-analysis, Musk reflects on what he has accomplished, the people who have helped along the way, and how the process could be improved.
Mr. Trump would be well-served to slow down and engage in a habit of self-reflection at regular intervals; it is critical for his success as the U.S. president and for the future health of the United States.
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
