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Tesla’s next ‘big unveil’ after Model Y will be its battery growth story

The Tesla Semi visits Yandell Truckaway. (Photo: Arash Malek)

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Tesla’s 2020 is bound to be a historic year, for more reasons than initially expected. Unlike 2017 and 2019, which were marked by impressive product unveiling events for the Semi, next-gen Roadster, Model Y, and Cybertruck, 2020 is poised to be a year where Tesla simply optimizes its operations to such a point that the company becomes sustainably profitable.

Save for 2018, Tesla has adopted the practice of unveiling new vehicles and energy products in a steady stream. This will not be the case this year, since Elon Musk himself has noted following the Cybertruck’s unveiling event that Tesla will not be holding formal vehicle launches for a while. The Model S Plaid is expected to be rolled out later this year, but the vehicle’s launch could be similar to that of the Raven Model S and X — subtle and simple.

Unlike previous years, Tesla will likely not be focusing too much on the rollout of an upcoming vehicle after initial Model Y deliveries are conducted. With the all-electric crossover being manufactured and delivered to customers, Tesla will likely end up focusing its resources on strengthening its core technology, particularly its batteries. This will partly be due to the arrival of three vehicles that are set to be released soon: the Tesla Semi, the next-gen Roadster, and the Cybertruck.

Part of the reason behind the Model Y’s quicker than expected production ramp is due to the vehicle’s similarity to the Model 3. The two midsize EVs share 75% of their parts, which meant that their production process is not too different from each other. Tesla learned a hard lesson with the Model X and the Model S by over-designing the SUV and making it far too different compared to its sedan sibling, which resulted in massive production delays. This lesson appears to have been learned and adopted for the Model Y ramp.

The Cybertruck in off-road conditions. (Photo: humdinger_3d/Instagram)

But Tesla’s next three vehicles are not quite as simple as the Model Y in terms of their battery tech and production processes. While the Model Y will likely use the same battery packs as its Model 3 sibling, the Semi, Cybertruck, and new Roadster do not. In fact, due to their specs and features, each of these new vehicles will likely be equipped with batteries that hold Tesla’s best and latest innovations, and they be built on platforms that are new and specifically designed for each vehicle.

The Semi, for example, is a Class 8 long-hauler that has a range of 300-500 miles per charge. Its capability to haul 80,000 pounds of weight on the road is no joke, and the vehicle’s near-sports car performance suggests that the Semi requires a very large battery pack. Tesla has not revealed the size of the batteries in the two Semi prototypes that are undergoing real-world testing today, but speculations from the EV community go as high as 1 MWh due to the truck’s weight. With better battery efficiency, optimized software, and higher energy density in its cells, Tesla may be able to achieve the Semi’s long-range targets without necessarily using as many batteries as a small fleet of Model 3s.

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The Cybertruck is not as large as the Semi, but it seems to require some notable battery improvements as well due to its price and specs. A top-tier Cybertruck costs below $70,000, and for that price, Tesla is offering over 500 miles of range per charge. Considering that the all-electric pickup truck is not exactly as sleek as the Model S in terms of aerodynamics, achieving such a range will likely require the all-electric pickup to have a pretty hefty battery. Batteries are usually considered as one of the most expensive parts of an EV, so it would be interesting to see just how low Tesla can push its battery prices down to make a behemoth of an EV go over 500 miles at a sub-$70,000 price.

Tesla’s design team with the next-generation Roadster. (Credit: Tesla)

The next-gen Roadster may only be seeing a production rate of about 10,000 per year, according to Elon Musk, but the vehicle still requires improvements in its batteries to become a definitive “hardcore smackdown to gasoline cars.” This is because the Roadster was announced with a 200-kWh battery pack that provides 620 miles of range. Tesla was at a different place when it announced the next-gen Roadster’s specs. Hence, it would not be a stretch to speculate that the production version of the all-electric supercar will either have a slightly smaller but more energy-dense battery that still provides 620 miles of range, or a 200 kWh battery pack that offers far beyond 1,000 km in one charge.

Tesla’s growth story is usually tied to the company’s release of one best-selling electric vehicle after another. But this year, after the Model Y, Tesla’s growth story will become more of a battery-driven narrative. The company’s battery tech will ultimately determine whether or not the Semi, Cybertruck, and new Roadster will be a success. But if Tesla’s batteries are up for the task, the company’s disruption of the auto industry will likely end up accelerating even more.

What’s pretty interesting to note is that all these potential battery-related breakthroughs also apply towards Tesla’s Energy business, which is rarely even considered by Wall Street when analysts evaluate the company. Every battery-related milestone that is rolled out to the company’s vehicles is also introduced to its energy storage devices. With this in mind, it is not too farfetched to speculate that this year may also end up becoming a renaissance of sorts for Tesla Energy. Part of this push could involve the introduction of slightly smaller but more energy-dense residential batteries and a line of cheaper energy storage units that are just as good as the company’s current products.

This sounds like another disruption in the making.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk

Tesla AI Head says future FSD feature has already partially shipped

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Credit: Tesla

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.”

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.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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