News
Why Tesla competitors will need more than affordability to take EV pioneer’s crown
Over the past several years, automotive manufacturers from all corners of the world have jumped head-first into electric vehicle production. In an attempt to catch Tesla, who has been recognized as the industry leader, car companies have tried all strategies, including undercutting pricing, but they’ll need much more than that to catch up.
Tesla’s most affordable vehicle is the Rear-Wheel Drive Model 3, which starts at $42,990 before incentives. It is far from the most affordable EV on the market, as several vehicles, both in production and planned for the future, have been marketed as the “Tesla Killers,” a term that was widely put to rest a few years ago.
There is no Tesla Killer, unfortunately, because those vehicles wouldn’t even exist if Tesla wasn’t around. They’re purely thoughts and eventual products of any automotive company because of Tesla’s mass influence on the automotive market.
Unfortunately, the angle that these car companies have come up with is, “If it’s cheaper than a Tesla, then people will buy it.”
But there’s a reason the 2023 Nissan Versa, which is priced at $15,730, isn’t the most popular car in the world: consumers want more than a nice, low price tag.
Customers take a lot of things into consideration: looks, features, technology, range, performance, and quality are just a few metrics that car buyers take into account when buying a new car.
When I read some of these headlines about cars that are expected to be the next big thing in the EV sector, it always seems to have something to do with price. But it goes much further than that.
Nearly 50% of 2017-19 Chevy Bolt EVs have been remedied after battery fire recall
In the EV sector today, Tesla still maintains a sizeable lead in terms of sales by model. The Model Y sold 251,974 times last year in the U.S., according to Kelley Blue Book data. The Model 3 was sold 211,618 times. The Model S recorded 32,675 sales, and the Model X had 26,121.
Even the Model X managed to outsell things like the Kia Niro, the Hyundai Ioniq, and the Volkswagen ID.4, despite being Tesla’s most expensive car and least popular model.
Why? There are many factors to EV ownership. The charging network might be the biggest influence, and Tesla dominates in that realm. It also holds a considerable advantage in technology, range, and performance.
Of course, looks are subjective, so it is not worth commenting on. But even if the best-looking car out there drove and operated like a piece of crap, nobody would want it.
Tesla’s advantages lie in places that are far past affordability. As previously mentioned, it goes past price and goes much deeper into what the company offers in terms of a variety of other metrics that make a car truly enjoyable to own.
Companies have long struggled with adequate charging, software, and other things that are hard to solve. It’s not an overnight fix, and Tesla may have much more experience in terms of having a car operate more like a phone than a vehicle. It will take time, and it will come around to these car companies on how to solve these issues.
But make no mistake, Tesla won’t be dethroned by cheaper options alone. Only if these cheaper options also offer superior software and adequate charging infrastructure, along with many other things, will Tesla be beaten.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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.”
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.
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.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
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.
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.
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.
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.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
