Tesla’s AI Day is tomorrow, and the company has been largely silent about details of the upcoming event. Considering how artificial intelligence plays into Tesla’s energy and electric vehicle business, it is no surprise that there is some excitement for AI Day. With this in mind, here are some things that Tesla watchers could expect for the highly-anticipated event.
Updates from Autonomy Day
Tesla bull and Loup Ventures Managing Partner Gene Munster previously noted that AI Day would likely be a “second edition” of sorts for the company’s Autonomy Day event back in 2019. The invitations that have been sent for AI Day suggest that the company is looking to expand its AI use to more than just vehicles. This is something that Elon Musk has mentioned in the past.
During the Q1 2021 earnings call, Musk stated that in the long run, people would start perceiving Tesla as an “AI robotics company” instead of a carmaker or battery storage producer. “I think long term, people will think of Tesla as much as an AI robotics company as we are a car company or an energy company. I think we are developing one of the strongest hardware and software AI teams in the world,” Musk said.
If AI Day does become a follow-up to Autonomy Day, however, Tesla would likely have to discuss some of the updates it has rolled out to its vehicles and self-driving efforts since 2019. These include the removal of radar for the Model 3 and Model Y, which Musk expects would ultimately accelerate the company’s progress towards autonomous driving.
Project Dojo Details
Tesla’s Dojo Supercomputer has long been teased, but its specs and capabilities have never really been revealed by the company. AI Day would be a great venue to formally introduce the world to its supercomputer and its capabilities. Dojo is crucial to Tesla’s self-driving efforts as the computer is tasked with training neural networks that would, in turn, enable the company’s vehicles to behave even more like cautious and confident human drivers on the road.
Gene Munster noted that based on Elon Musk’s previous comments, it appears that Tesla has plans to make Dojo available to other automakers in the future. This should help not just Tesla but the entire auto industry transition into the self-driving era. Musk definitely seems optimistic about Dojo’s contribution to Tesla’s self-driving efforts, which have been both highly praised and criticized to date.
“Dojo is really a — it is a supercomputer optimized for neural net training. We think Dojo will be, probably in order of magnitude, more efficient on, say — not sure what the exact right metric is, but say, per frame of video, we think it will be an order of magnitude more cost efficient in hardware and in energy usage for a frame of video compared to a GPU-based solution or compared to the next best solution that we’re aware of. So then possibly that could be used by others,” Musk stated.
Beyond Automotive and Energy
Tesla already uses AI on its electric vehicles, and the company’s products like Autobidder show that artificial intelligence could also be invaluable for the energy sector. Interestingly enough, Tesla seems to be intent on expanding beyond these markets, with the company teasing more AI-based efforts in its formal invitation.
“This invite-only event will feature a keynote by Elon, hardware and software demos from Tesla engineers, test rides in Model S Plaid, and more. Attendees will be among the first to see our latest developments in supercomputing and neural network training. They’ll also get an inside look at what’s next for AI at Tesla beyond our vehicle fleet,” Tesla wrote.
Elon Musk has hinted at other “smart” products in the past. During his first appearance at the Joe Rogan Experience podcast in 2018, Musk has stated that it would be great to develop a “Tesla Smart Home” that includes an efficient HVAC system. Musk mentioned this once more in March 2020, when he noted that creating smart and energy-efficient home products would be great since Tesla is already developing a lot of the needed tech for its vehicles.
TSLA Volatility
Tesla watchers and investors would likely have to get ready for some volatility after AI Day tomorrow. While Tesla’s dedicated events such as Autonomy Day and Battery Day were filled to the brim with information, and while both events were mainly for recruitment, TSLA stock ended up dipping the day after. The day after Battery Day in September 2020, for example, TSLA shares dropped 10% as critics pounced on the 4680 cells’ timetable and the fact that the company did not show a physical cell during its event. It will not be surprising if the same thing happens on Friday after AI Day.
Tesla’s AI day is set to be held at Palo Alto, CA, on August 19, 2021, at 5 p.m. PDT. The event would likely be livestreamed as well.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
