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Electric aircraft could transform short-distance regional air travel

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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, T-100 Market (All Carriers), Passengers, All Scheduled Domestic and International within/to/from USA 2017

 

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 

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  • 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?

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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?

 

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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.  

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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.

 

As an engineer working to improve sustainability and energy use, I have a passion for renewables, research, and data analytics. I'm based out of Toronto Ontario and you can contact me on LinkedIn or Twitter.

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Elon Musk

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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