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Tesla placed dead last in self-driving race by Navigant, GM and Waymo top list
According to a recently published study by Navigant research group, Tesla is currently dead last in the self-driving race, placing beside second-to-last Apple on the list of 19 companies. At the top of Navigant’s study were GM and Google’s Waymo, companies whose initiatives to develop and release autonomous vehicles to the public are ranked as being close to perfect.
Navigant’s analysis points the blame to Tesla and its eventual split with Mobileye, which was involved in the development and release of the first generation Autopilot system. Since its separation from the Israeli-based tech company, Tesla has spent significant effort in developing its own in-house self-driving suite – Autopilot 2. So far, however, the Elon Musk-led firm has encountered challenge after challenge, with improvements to EAP and new features trickling down in a rather slow stream.
GM, on the other hand, appears to have struck gold with its acquisition of Cruise, a driverless startup, two years ago. Ever since its acquisition, Cruise has been able to focus on developing and improving its self-driving systems using GM’s very own mass-market electric vehicle — the Chevy Bolt EV. Over the past couple of years, Cruise has made so much progress with its autonomous systems that the self-driving startup and GM’s engineers were confident enough to request the production of Chevy Bolt EV units that do not have steering wheels or pedals. The production of these special Bolt EVs is expected to begin next year, as noted in an Ars Technica report.
Waymo, on the other hand, has always been at the forefront of self-driving technology. Since the beginning of the decade, Google has been investing vast amounts of resources in the development of self-driving driving technologies. Based on what Waymo’s autonomous minivans in the Phoenix area can do right now, it seems like Google’s self-driving efforts are also paying off in spades.
Overall, it is easy to see how Navigant’s study ended up placing Tesla at the lowest spot in its rankings. The Silicon Valley-based electric car maker and energy firm, after all, is still catching up to the refinement and features of its Autopilot 1.0 software from years ago. Tesla’s approach to autonomous driving is also relatively different from Waymo and Cruise’s strategy, using Shadow Mode and its drivers to collect billions of miles real-world driving data from its fleet. While GM and Google might have refined their tech to a degree beyond what Tesla has accomplished so far with Enhanced Autopilot, both companies’ vehicles have mastered pre-programmed routes but seemingly without scale. Cruise and Waymo’s autonomous cars are only effective on areas that have been heavily tested and uploaded to their computers.
Tesla, however, is doing something far more ambitious and arguably riskier on many levels. Instead of mastering self-driving that’s isolated to specific regions, the company is aiming to roll out autonomous features that would work on a global scale through AI-based Tesla Vision technology. Looking at it from this perspective, Waymo and Cruise will probably take far longer than Tesla when it comes to rolling out their self-driving vehicles on a larger scale.
Leaderboard for Automated Driving Systems by Navigant
- GM
- Waymo
- Daimler-Bosch
- Ford
- Volkswagen (VW) Group
- BMW-Intel-FCA
- Aptiv
- Renault-Nissan Alliance
- Volvo-Autoliv-Ericsson-Zenuity
- PSA
- Jaguar Land Rover
- Toyota
- Navya
- Baidu-BAIC
- Hyundai Motor Group
- Honda
- Uber
- Apple
- Tesla
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
