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The ‘Elon Musk Method’ explains Tesla’s runaway success in the EV sector
Over his 16-year tenure at Tesla, Elon Musk went from knowing very little about the automotive business to being the CEO of the world’s most valuable carmaker by market cap. The journey towards Tesla’s current place in the electric vehicle sector, together with the numerous small milestones that the company has achieved over the years, is partly due to Musk’s style. Without the “Elon Musk Method,” Tesla’s successes would likely have been not as notable, and most certainly not as radical.
As noted in a Reuters article, Elon Musk’s record has shown that beyond the rockstar bravado that he displays on social media platforms like Twitter at times, the Tesla CEO is a quick learner who is smart and strategic enough to forge alliances with companies that had tech that Tesla lacked. Musk would then follow this up by hiring the smartest people available in the industry, before powering through boundaries that limited companies that are more risk-averse.
Under Musk’s leadership, Tesla flourished as a vertically-integrated electric car maker. From computers to car seats and now to battery cells, Musk is intent on making Tesla more and more independent. Speaking with the news agency, a former senior executive at Tesla noted that Musk is consistently set on pursuing improvements that would make something better, faster, and cheaper. “Elon doesn’t want any part of his business to be dependent on someone else. And for better or worse – sometimes better, sometimes worse – he thinks he can do it better, faster and cheaper,” the executive said.
According to people familiar with Tesla’s strategy in its early days, Musk has always been looking to learn more about the auto industry. He accomplishes this through several means such as strategic partnerships and aggressive talent recruitment. Back then, the goal of Tesla was reportedly to create a digital version of Ford’s iron-ore-to-Model-A production system, which was developed in the late 1920s. Former Tesla supply chain executive Tom Wessner noted that during these times, “Elon thought he could improve on everything the suppliers did – everything. He wanted to make everything.”
Among these components, of course, were the battery cells that are used for Tesla’s electric cars. Musk’s subordinates have reportedly argued against the idea of developing proprietary battery cells, but the CEO has been adamant about his goal. A former Tesla veteran who spoke to Reuters added that such a reaction from Musk is well within character. “Tell him ‘No’ and then he really wants to do it,” the veteran said. This is something that has happened in the past, as Musk was reportedly looking into battery cell manufacturing since 2011, well before going into a close partnership with Panasonic in 2013.
Tesla’s relationship with Panasonic could be described as a roller coaster ride. Tesla’s demands during the Model 3 ramp appeared to have strained the capabilities of its Japanese partner, and last year, reports emerged alleging that the two companies were growing apart. Yet even with the upcoming debut of Tesla’s Roadrunner cells, Panasonic maintains that it has a strong relationship with Tesla. “There has been no change in our relationship with Tesla. Our relationship, both past and present has been sound. Panasonic is not a supplier to Tesla; we are partners. There’s no doubt our partnership will continue to innovate and contribute to the betterment of society,” a Panasonic spokesperson stated.
It appears that Tesla’s long partnership with Panasonic is part of the building blocks of the Roadrunner project. True to form, Musk likely used the knowledge he learned from the veteran Japanese firm to help create an in-house battery cell production line that could be perfectly designed for Tesla’s electric vehicles and energy products. This, in a way, echoes much of Tesla’s development alliance with Daimler in the past. Daimler was an early investor in Tesla, and during the time, Musk reportedly became very interested in sensors that could help keep cars within lane lines. As noted by a senior Daimler engineer, the Tesla Model S lacked the necessary cameras and driver-assistance sensors to match the flagship features of the Mercedes-Benz S-Class then. Musk and the Tesla team then went to work, and the result was history.
“He learned about that and took it a step further. We asked our engineers to shoot for the moon. He went straight for Mars,” the Daimler executive said.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
