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How Tesla’s ridesharing network could disrupt the airline industry

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Photo credit: Tesloop

The auto industry is changing. Autonomous and electric cars are becoming more available sooner than many people think. This will become even more prevalent once Tesla delivers upwards of 500k to 1 million self-driving vehicles per year by the end of the decade. But this change from gas-powered cars to a world powered by battery electric vehicles won’t be isolated to the auto industry. It will likely affect other sectors, including the airline industry.

Disrupting the Airline Industry

As advances in the auto industry make traveling by car more attractive, airlines will have to adjust to the steeper competition. Short haul flights, flights less than 300 miles, will be most significantly affected. Short haul flights cost an average of $120 above the cost of driving, and reduces door-to-door travel time by roughly an hour. These types of city to nearby city flights make up 25% of all US domestic departures.

According to a new Morgan Stanley study, if demand for short haul flights completely disappeared, it would lead to about a 15% loss in earnings. The study also acknowledged that such a change would take at least five to ten years, giving the airline industry time to adjust.

Modern Car Travel

Even without Tesla’s ridesharing network, widespread adoption of electric cars and existing ridesharing services are making people reconsider their reasons for traveling by plane. Services such as Uber and Lyft are more cost effective than flying, and oftentimes more convenient due to the ease of scheduling a ride and with more range of options available. Travelers sacrifice the shorter travel time of a flight, but the difference is oftentimes not too significant.

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Southern California-based Tesla-only intercity shuttle service, Tesloop, currently provides transportation service between Los Angeles, Las Vegas and Palm Springs, and will be looking to expand its operations into new markets. The drivers, which the company refers to as “pilots”, transport passengers using Tesla Autopilot. And like the experience in an airplane, Tesloop provides snacks, water and Wi-Fi to its passengers. Why is this important? By replicating the experience of airline travel, while doing so at lesser cost than a traditional short haul flight, Tesloop presents a compelling reason to use ground transportation and forego vehicle ownership.

The Future of Car Travel

Ridesharing, autonomous cars and electric cars are three trends that are not going away any time soon. In fact, they will likely continue to become more commonplace and alter the way we live in meaningful ways.

As technology continues to advance, the comfort, flexibility and reliability of ridesharing, electric cars and autonomous cars will increase as the cost decreases. This will make them more attractive to travelers and further threaten airlines.

In the future, new forms of automobile travel will begin to improve in the areas where flying currently has an advantage. Autonomous cars will make traveling on the roads safer for everyone. Once human error is taken out of the equation, speed limits will likely be increased, lessening the time advantage flying currently has over driving.

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Tesla’s free long distance travel for life Supercharging model combined with advances in Autopilot and self-driving technology, plus ridesharing, are already altering the way we think about travel, and their impact on other industries will only increase with time. New technologies bring about change. New ideas create new opportunities in economies and in our way of life.

The advancements will likely disrupt many industries that exist today, including the airline industry. Airlines will have to adjust to the changes — but who knows? Maybe one day autonomous and electric planes (or flying cars) will disrupt the autonomous electric car ridesharing economy.

Owner of Off The Throttle. Writes about cars for Forbes, Yahoo Autos, Business Insider, more. Slightly colorblind.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

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

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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:

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.

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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.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

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.

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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:

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.

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:

As well as adjusting Navigation, when I received two nags:

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:

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

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:

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.

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Tesla expands Robotaxi geofence, but not the garage

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.

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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.

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