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Electric aircraft could transform short-distance regional air travel
Whenever the subject of electric aircraft comes up I see the room filled with skeptical looks. The looks are not unwarranted. Even electric cars remain in the low single digits for worldwide market share and electric flight is undoubtedly a greater hurdle. The enemy of flight is weight after all and batteries are rather heavy. The skepticism though, while justified, is misplaced.
The problem is that we tend to think of air transport as large intercontinental craft flying thousands of miles at a time. Those certainly exist and there’s even one that travels 9000 miles, flying 17 hours from Perth to London. The reality for most air travel, however, is somewhat different. Statistics from the US Bureau of Transportation show that the overwhelming majority of US passengers are on domestic flights and what’s more, nearly half of those are under 700 miles.
Source: Bureau of Transportation Statistics – T100 domestic, all carriers
The data graphed above shows that 20% of domestic passengers are flying under 350 miles in the USA, with nearly 50% under 700 miles. Forget about the 9,000 mile international flights, this is the market for electrified flight in the near-term. The aircraft to support it are nearly here.
I’ve written in the past about the various electric aircraft in development from companies like Zunum Aero, Wright Electric, Airbus/Siemens, NASA, Eviation, BYE, and others. It’s still very early but advancement is steady and the age of electric flight is coming. For a moment consider Zunum Aero’s aircraft, the ZA10. It’s a 12-seat hybrid for regional transport, slated to begin test flights next year and deliveries in the early 2020s. The aircraft is targeting a range of 700 miles and will have a shorter range all-electric version. There’s also a larger variant planned.
Zunum Aero’s ZA10
- 60 to 80% reduction in operating costs
- 80% lower emissions and noise
- 40% reduction in runway needs
- Hybrid-electric range of 700 miles
Back to those skeptical looks. The financial driver for electrification is huge, with the potential to reduce operating costs 60 to 80%. More so with carbon pricing. If said hybrid aircraft also create less pollution, require shorter runways, reduce maintenance, and produce less noise, well then which carriers wouldn’t want to use them? Particularly in a regional market which, as noted previously, includes nearly 50% of all domestic flights in the US.
That all seems great, but even this understates the impact of electrification. What’s missing from the analysis is the potential for electric aircraft to fundamentally transform air travel as we know it, to vastly increase the number of flights under 700 miles.
The data we have today shows us the past, but this is the future:
Electric and hybrid aircraft have the potential to open up new regions to air travel, revitalize small neglected airports, create jobs in small communities, and make travel more enjoyable for everyone. This vision will become a necessity if we hope to have a cohesive society and growing economy,
“In the globalized economy, communities without good air service struggle to attract investment and create jobs” – Zunum Aero
There’s a wonderful write-up on IEEE Spectrum which highlights how electrification can be the catalyst that rejuvenates regional travel. The article’s authors are from Zunum Aero, including the founder and the chief technology officer.
The article includes some interesting statistics on the current state of air travel. For example, the authors note that only 1% of the airports in the USA are responsible for 96% of the air traffic and that since 1980 the average aircraft seat capacity has increased by a factor of 4. What if electric aircraft can increase travel to just some of those other airports?
The current state of air travel is largely the result of financial choices made over many decades. Larger aircraft are more economical to purchase and operate, while fewer routes keep aircraft load factors high and simplifies logistics.
“Regional Travel is Ripe for Reinvention” – JetBlue Technology Ventures
The problem with this is that large airplanes require large infrastructure to support them (think space, buildings, runways) and the noise they generate is not well liked by residents. There aren’t many airports able to accommodate these needs so people are funneled to major airports located outside of major cities, sometimes inconveniently out of the way of the passengers’ ultimate destinations. This means more time is spent traveling to the airport, at the airport, and flying on the airplane, for an experience that is all to often chaotic and impersonal. In fact, door to door travel times have actually gotten worse for regional air travel, not better. Add in a snowstorm or a single large aircraft is delay and it can become a logistical nightmare.
The benefits of electric aircraft are particularly well suited to regional air travel needs. The question is, will it be enough to usher in a renaissance for regional flight, where smaller aircraft travel more routes and to smaller airports? I certainly think so. Toronto has a great example of how this might occur. The Toronto Island airport can only operate small aircraft due to noise restrictions, but it’s use has grown steadily. It’s accessibility from downtown and the spectacular speed of service are key drivers. With electric aircraft I believe this type of scenario will become the norm.
Now, what if you could do it from your own front door?
Hyper-local air travel with electric vertical takeoff and landing aircraft (E-VTOL)
Imagine this. You wake up in the morning, dress, open your phone and request an electric vertical takeoff and landing aircraft (VTOL) to take you to a city a few hours drive away. An electric autonomous car picks up you and drives you to a local VTOL access point, on top of a parkade near your home. Several small two and four seat aircraft are waiting there. Maybe someone is there to greet you but it’s only customary. Your phone recognizes your access and opens up the passenger compartment to your aircraft. You get in, there is no pilot, no cockpit – the vehicle is autonomous. Quickly the electric motors spin up, the craft rises into the air and carries you directly into the centre of a nearby city. Or maybe you go to a remote campsite or to an airport outside of the city where you can access an intercontinental flight. All of this for a cost less than traditional means of transport.
Long have we been promised a future of flying cars, but this time electric propulsion and increased autonomy can actually make it happen. Check out the video below of the first full scale test flight of the Lilium Jet in 2017. Such ideas were once confined to science fiction, but no more. Yes, this technology is in the early stages and it remains to be seen how far batteries can take us. Yet those batteries get better each year. For Lilium’s part they have manned test flights coming next year and they are targeting a range of 300km and speed of 300km/hr. That could open up a whole new type of air travel.
Electric VTOL – Lilium
Lilium started in 2013 with the vision of developing an all-electric “air-taxi” vehicle.
There are now dozens of companies working on electric VTOL aircraft, with over 100 projects underway. Norway’s aircraft operator Avinor even issued a report earlier this year that sees a path to small VTOL aircraft with 1 or 2 passengers in the early to mid 2020’s, with larger 4 or 5 person craft reaching market by the end of the 2020’s.
The fascinating world of VTOLs aside, fixed-wing hybrid and electric regional jets provide an obvious path for electrification. This will reduce operating costs, open up new opportunities for passengers, and reduced the environmental impact of flying. It’s where corporations and countries are already going. Norway for example has a target of 2030 for all regional flights to be fully electric, not hybrid, fully electric. While operators and manufacturers are pushing to see who can take the lead. One thing is certain, with the coming advancements in electric flight regional transport will never be the same.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
