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Elon Musk says Tesla’s competition can’t be seen with a telescope, but the company admits Chinese EV makers are ‘scary’
Tesla has been head and shoulders above competitors in the electric vehicle field for some time due to its maturity as a company and expertise in EV engineering. The fact that very few companies can say they have been developing electric vehicles for as long as Tesla has is where the company’s true advantage lies.
In fact, CEO Elon Musk believes that whoever is in second place, even though he “doesn’t really know who would even be a distant second,” is so far away, you can’t even see them “with a telescope:”
“We still don’t even know really who would even be a distant second. So yes, it really seems like we’re — I mean, right now, I don’t think you could see a second place with a telescope, at least we can’t. So that won’t last forever.”
In the past, Musk has stated Volkswagen was Tesla’s closest competition. But since former group CEO Herbert Diess left late last year, that may have changed.
Volkswagen sold ~99k EVs out of 1.9M in Q1, seeks to gain 10% market share in North America by 2030
Tesla is not only a leader in EV tech, but it also has been extremely resilient through the past few years. As the COVID-19 pandemic disrupted supply chain regularity in 2020, Tesla undoubtedly felt the pressure. Its order log lengthened in nearly every market, while supply continued to dwindle. Even to this day, Tesla executives are notorious for stating the company has a supply problem, and not a demand one.
While companies like Rivian, Polestar, and Lucid, and automotive mainstays like Ford and General Motors, have offered comparable EV options to consumers, some of which performed extremely well in 2022 with sales. But despite this, Musk still maintains that Tesla’s biggest competitors do not lie within the United States. Instead, a foe that was mentioned in previous earnings events was mentioned: the Chinese.
“The Chinese are scary, we always say that,” Lars Moravy, VP of Vehicle Engineering, said.
“I think we have a lot of respect for the car companies in China,” Musk added. “They are the most competitive in the world.”
Complementing their work ethic and drive, Musk also knows the Chinese automotive market is the most competitive, and the largest, on Earth. Tesla still led the Chinese market in 2022 in pure EV sales, but BYD was the country’s largest seller of plug-in vehicles, including plug-in hybrid EVs. However, most EV enthusiasts would consider PHEVs irrelevant.
What will it take for companies to catch up to Tesla? The answer likely depends on who you ask. Musk believes nobody is close in terms of solving real-world AI, but there are undoubtedly companies out there that have arguments about that. Mercedes-Benz launched the first Level 3 system in Germany last year, and while it is only operational on the Autobahn, it technically trumps Tesla’s Level 2 system, which is determined by the Society of Automotive Engineers’ guidelines for autonomy.
And, if you ask Consumer Reports, Tesla Autopilot is the seventh-best Advanced Driver Assistance System you can get currently.
Ford BlueCruise, GM SuperCruise ranked as best Driver Assistance systems, Tesla Autopilot ranks 7th
Others might state Waymo, Cruise, and others, who have operational driverless ride-sharing services set up are technically ahead of Tesla. However, these companies are confined to certain areas through geofencing, and they undoubtedly have problems themselves. No suite is close to perfect.
Where Tesla’s true advantage lies is within its infrastructure, as it is the only company to establish a worldwide network of Superchargers that may or may not enable other companies to utilize for their own charging needs soon. Currently, and especially in the United States, you must have a Tesla to utilize this. Fifteen countries in Europe are outliers, as they are a part of Tesla’s Supercharger Pilot Program.
It may take a few years for a clear-cut competitor to emerge that will push Tesla to the brink of relinquishing its crown of “EV leader.”
“So in five years, I don’t know, probably somebody has figured it out. I don’t think it’s any of the car companies that we’re aware of,” Musk said.
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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.”
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
