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Tesla vehicles are 8x less likely to be involved in fires, shows latest safety report
Tesla has released its vehicle safety report for the second quarter of 2019. Similar to previous quarters, the report showed that Teslas operating on Autopilot are less likely to meet accidents on the road compared to vehicles operating without the driver-assist system enabled. Tesla’s report this quarter also included statistics on vehicle fires for the first time.
Fires involving Teslas are quite rare, with some quarters having recorded no vehicle fires at all. This, according to Tesla, results in some challenges, as an increase from one fire per quarter to two fires per quarter would result in a raise of 100%. Tesla has thus stated that it will provide annual vehicle fire data to avoid a misrepresentation of numbers and assure a meaningful comparison to the industry average.
The electric car maker’s data shows that between 2012-2018, there was approximately one Tesla vehicle fire for every 170 million miles traveled. Considering that the National Fire Protection Association (NFPA) and the US Department of Transportation record one vehicle fire for every 19 million miles traveled, Tesla’s figures make its electric cars over eight times less likely to be involved fires.
It should also be noted that Tesla’s vehicle fire statistics for 2012-2018 are not exclusive to incidents where the electric cars actually catch fire. Instead, Tesla’s data includes incidents resulting from structure fires, arson, and several other factors unrelated to the vehicles themselves.
Tesla’s Q2 2019 vehicle safety report also showed one accident for every 3.27 million miles driven with Autopilot engaged. Vehicles without Autopilot but have Tesla’s active safety features engaged, on the other hand, recorded one accident for every 2.19 million miles driven. Cars operating with no Autopilot and active safety features enabled recorded one accident every 1.41 million miles.
These figures are an improvement to Tesla’s first-quarter results, when the company recorded one accident for every 2.87 million miles driven on Autopilot, 1.76 million miles driven with active safety features but no Autopilot, and 1.26 million miles driven with no Autopilot and active safety features enabled. These results, while below the figures for the second quarter, are still notably superior to the NHTSA’s data, which currently stand at one accident for every 498,000 miles driven.
Tesla’s electric cars are among the safest vehicles on the road. The Model 3, for example, has earned stellar safety ratings from both the NHTSA and the Euro-NCAP, where the electric sedan set a new benchmark for safety. The Model 3 was granted a perfect 5-Star rating by the Euro NCAP in all four of its safety tests’ categories: Adult Occupant Protection, which tests how the vehicle protects its driver and passenger; Child Occupant Protection, which gauges the protection of younger occupants; Vulnerable Road Users, which tests a vehicle’s safety features for cyclists and pedestrians; and Safety Assist, which evaluates a car’s active safety capabilities.
Tesla’s Q2 2019 vehicle safety report could be read below.
Accident Data
In the 2nd quarter, we registered one accident for every 3.27 million miles driven in which drivers had Autopilot engaged. For those driving without Autopilot but with our active safety features, we registered one accident for every 2.19 million miles driven. For those driving without Autopilot and without our active safety features, we registered one accident for every 1.41 million miles driven. By comparison, NHTSA’s most recent data shows that in the United States there is an automobile crash every 498,000 miles.
Vehicle Fire Data
Tesla vehicle fires are exceptionally rare events, and in some cases, there have been zero Tesla vehicle fires in a quarter. That means that an increase from one fire per quarter to two per quarter represents an increase of 100%. In order to avoid misinterpretation of these numbers and provide a meaningful comparison to industry data, Tesla will publish an update to vehicle fire data annually.
From 2012 – 2018, there has been approximately one Tesla vehicle fire for every 170 million miles traveled. By comparison, data from the National Fire Protection Association (NFPA) and U.S. Department of Transportation shows that in the United States there is a vehicle fire for every 19 million miles traveled.
In order to provide an apt comparison to NFPA data, Tesla’s data set includes instances of vehicle fires caused by structure fires, arson, and other things unrelated to the vehicle, which account for about 15% of Tesla vehicle fires over this time period.
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
