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Tesla is trying to make a statement with its Q2 delivery numbers
Tesla’s aggressive promotions for its vehicles today are quite strategic.
It is no secret that Tesla had subpar delivery numbers in the first quarter. It was due to a number of things, most of all the changeover to the new Model Y across its factories worldwide. The results, however, were enough for critics, both longtime and new, to declare that Tesla is just about done.
Looking at Tesla’s recently rolled out promotions across its lineup, however, it seems like the electric vehicle maker is dead serious about proving its skeptics wrong.
Promotions, Promotions Everywhere
Just recently, Tesla announced that it was rolling out yet another free FSD transfer program for its customers. Such a program is designed to encourage longtime Tesla owners who may be holding onto their old vehicles with FSD to upgrade to a newer car. Tesla noted that its free FSD transfer is available for the Model S, X, 3, Y, and the Cybertruck in North America.
Tesla also announced a 0% APR financing program for new Model 3 orders in the United States. The Model 3 Performance even received an extra incentive, with the company offering premium paint colors such as Deep Blue Metallic and Pearl White for free with every vehicle purchase. Owners of Model Y classic units are also offered a $2,000 discount off the price of a new Model Y. Cybertruck customers, on the other hand, are offered special leasing rates.
Over in China, Tesla has announced a five-year, zero-interest financing program for the new Model Y. A similar program was also made available for the Model 3 sedan.
Taking Control of the “Demand Issue” Narrative
Tesla’s aggressive promotions for its vehicles today are quite strategic. The United States and China, after all, are two of the company’s largest markets. If Tesla wishes to post healthy delivery numbers this Q2, robust delivery numbers in the U.S. and China are practically required.
When Tesla announced its earnings earlier this week, critics were overjoyed to see that the company had seen a notable drop in revenue. Arguments about the company’s demand issues were highlighted anew as well. It’s ironic, but just a few months after the Model Y secured its place as the world’s best-selling car by volume for the second year in a row, arguments about Tesla’s demand issues are abounding once more.
It remains to be seen if Tesla’s aggressive promotions this Q2 will make a difference in its vehicle sales worldwide. But if the company ends the second quarter with an impressive number of vehicle deliveries, it could take control of its demand narrative with authority.
A Potential Elon Musk Point
A healthy delivery result for the second quarter may also renew faith among investors that CEO Elon Musk is indeed serious about leading Tesla to new heights. Over the past months, Musk’s attention had been evidently focused on his activities with the Trump administration’s Department of Government Efficiency (DOGE), but during the Q1 2025 earnings call, the CEO stated that he would be spending more time at Tesla starting May.
This suggests that Musk would be extremely hands-on with the electric car maker for the majority of Q2 2025. Tesla is typically at its best when pushed by its aggressive CEO, so it would be interesting to see just how far the company could go before the end of June 2025.
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.”
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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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
