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Legacy auto needs a ‘Tesla Approach’ on EVs because it’s quality, not quantity, that buyers want
Amidst the automotive segment’s ongoing shift to electric cars, it is almost common to see a carmaker announcing dozens of EVs coming in the coming years. Yet while such announcements are great for headlines, it appears that the time is nigh for legacy auto to shift to a “Tesla Approach” when it comes to their EV strategy. Carmakers can do this by focusing not on quantity, but on the quality of their electric cars.
Quantity Doesn’t Necessarily Mean Quality
Just recently, South Korean automaker Hyundai announced that it will have 23 global electric vehicles by 2025. This announcement is impressive, and it echoes the same theme as American automaker General Motors’ plan, which calls for 30 EVs by 2025. Even premium carmakers like BMW and Daimler seem to be taking the same approach, with the former pledging nine EVs by 2025 and the latter working on six electric vehicles today.
Yet inasmuch as these announcements warrant a lot of praise, it is pertinent to note that not all of the EVs coming out of legacy auto will necessarily be on the level of Tesla’s electric cars. Take GM’s best-selling electric car today, for example, the Wuling Hongguang Mini EV, which is sold in China. The vehicle outsold the domestically-produced Model 3 in China several times this year, but it’s important to highlight that the Mini EV is a bare-bones electric car that doesn’t even have airbags installed.
The Tesla Approach
Tesla’s approach to its electric cars is not unlike what tech giant Apple adopts. That is, the company releases only a few products, but each is extremely competitive in its respective segment. This could be seen in Tesla’s S3XY lineup, all of which could be described as premium electric vehicles in their own right. Critics could point out that the build quality and interior materials of Tesla’s electric cars are not yet in the level of veterans like Mercedes-Benz, but there’s no doubt that the Model S, Model 3, Model X, and Model Y are a cut above in terms of tech, performance, and features.
Apart from releasing just a few good electric cars, Tesla also focuses heavily on software and vertical integration. Tesla’s vehicles are not the only ones that can receive over-the-air updates today, but they are arguably the ones that receive them most frequently. The vertical integration that Tesla applies to its operations is pretty insane as well, with the company now looking to produce its own batteries and hardware.
One Good Electric Car
What seems to be lost among some legacy automakers today is the fact that the EV market is growing, and as it grows, it probably will not require dozens upon dozens of EVs being offered to customers. This is especially true if some of those electric cars are substandard or underwhelming at best. Instead, it may be a better idea for veteran carmakers to focus on creating only a few electric cars, with each one being good enough to stand against leaders like the Model S, or upstarts like the Lucid Air and the Rivian R1T. Even one good electric car will be better than dozens of uninspired EVs, after all.
Fortunately, this concept seems to be making its way to some carmakers now, albeit slowly. Porsche does not seem to be in a hurry to release a bunch of EVs, with the company focusing on the Taycan, the Taycan Cross Turismo, and the Macan EV. Ford seems to be focusing right now on the Mach-E and the F-150 Electric. These vehicles so far are being received pretty well by the electric vehicle community, with the Taycan and the Mach-E even receiving a personal welcome from Tesla CEO Elon Musk.
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.”
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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.
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
