Congratulations here, Tesla. And I am joined today by Elon Musk and Vevov to Nesha and a number of other executives. Our Q4 results were announced at about 3 p.m. Central time in the update deck. We published at the same link as this webcast. During this call, we will discuss our business outlook and make forward-looking statements. These comments are based on our predictions and expectations as of today. Actual events for results could differ materially due to a number of risks and uncertainties, including those mentioned in our most recent filings with the SEC.
祝贺特斯拉。我今天与埃隆·马斯克、Vevov to Nesha以及其他几位高管一同参加。这是我们关于第四季度业绩的结果公告,发布时间大约在中部时间下午3点,并已更新在与此次网络会议相同的链接上。在此次会议中,我们将讨论我们的业务展望,并做出前瞻性声明。这些评论基于我们对截至今天的预测和期望。由于存在多种风险和不确定性,实际事件或结果可能会有很大不同,包括在我们最近向SEC提交的文件中提到的那些。
During the question and answer portion of today's call, please limit yourself to one question and one follow up. Please use the raise hand button to join the question queue. Before we jump into Q&A, Elon has some opening remarks. Elon. Thank you. So in summary, in Q4, we set a record and delivered vehicles at an annualized rate of nearly 2 million a year. So congratulations to the Tesla team on excellent work, achieving record production and deliveries. Model Y was the best selling vehicle of any kind for 2024. That's worth noting that not just the best electric vehicle, the best vehicle of any kind on Earth. Number one, which model Y. We're staying focused on maximizing volumes and obviously doubling down for.
I don't know what. It's really doesn't I was going to say doubling down on autonomy, but really it's like autonomy is like 10 Xing. Rightly doubling is not even enough. We made many critical investments in 2024 in manufacturing and robotics that will. Bear immense fruit in the future and mens like it's in fact to such a scale that it is difficult to comprehend. And I've said this before and I'll stand by it. I see a path, but I'm not saying it's an easy path, but I see a path.
It tells the being the most valuable company in the world, more by far, not even close, like, but. Maybe several times more than. I mean, there is a path where Tesla is worth more than the next top five companies combined. There's a path to that. I mean, I think it's like. An incredibly just like a difficult path, but it is an achievable path. So. And that is overwhelmingly due to autonomous vehicles and autonomous humanoid robots. So. Our focus is actually building towards that. And then that's what we're laying the ground. We lay the groundwork for that in 2024 will continue to lay the groundwork for that in 2025. If more than lay the groundwork actually, so you'll be building the structure be.
We're building the manufacturing lines. And. Let go. I'd like setting up for what I think will be an epic. 2026 and a ridiculous 27 and 28 ridiculously good. That is my prediction. And. You know, we, as you had very few, very few people understand the value of fossil driving. And our ability to monetize the fleet. You know, I've, I've, some of these things I've said for quite a long time and I know people said, really, you know, you know, it was the boy who cried wolf like several times, but I'm telling you, there's a damn wolf. This time. And you can drive it. In fact, it can drive you. It's a self driving wolf. You know, for a lot of people, they're like their experience of Tesla autonomy is like, if it's even a year old, if it's even two years old, that it's like me, it's like me, someone when they're like a toddler and thinking that they're going to be a toddler forever.
And obviously not going to create toddler forever. They grow up. But if their last experience was like, oh, FSD was a toddler. It's like, well, it's growing up now. Have you seen it? It's like walks and talks. And that's really what we've got. And it's difficult to for people to understand this because human intuition is linear, as opposed to what we're seeing is exponential progress. So that's why my number one recommendation for anyone who doubts is simply try it. Have you tried it? When's the last time you tried it? And the only people who are skeptical, the only people who are skeptical.
All those who have not tried it. So, you know, a car goes to a passenger car typically has only about 10 hours of utility per week out of 168. A very small percentage. Once that car is autonomous, my rough estimate is that it is used for at least a third of the hours of the week to call it 50, maybe 35 hours of the week. And it can be useful both. So, you know, if you're looking at a car, you can deliver packages in the middle of the night or resupply restaurants or whatever the case may be. Whatever people need at all hours of the day or night. That same asset, the thing that that is these things that already exist.
With no incremental cost change, just a software update. Now have five times or more the utility that they currently have. I am. I think this will be the largest. Asset value increase. In human history, maybe there's something bigger, but I just don't know what it is. And so people who look in the review mirror. I'm looking for past precedent, except I don't think there is one. So. But you know, that there. But the reality of autonomy is upon us. And I repeat my advice. Try dragging the car. Or let it drive you. So now it works very well in the US.
But of course it will over time work just as well everywhere else. Yeah. So. We're working hard to grow our annual volumes. I've been straight this year. Our current constraint is battery packs this year, but we're working on addressing. That's constrained. And I think we will make progress in addressing that constraint. And then. Things are really going to go ballistic next year. And really ballistic in 27 and 28. So. Yeah.
So. A bit more on on personal driving. Our Q4 vehicle safety report shows continued year over year improvements in safety for vehicles. So the safety numbers. If somebody has. Also driving to non or not. The safety differences are gigantic. So. And people have seen the. The events improvement with version 13. And with incremental versions and version 13. And then 14 is going to be yet another step beyond that. That is very significant. We launched the cortex training cluster at Gigafactory Austin, which was a significant contributor to FSD advancement. And we continue to invest in training infrastructure out of Texas headquarters.
So the training needs for. Optimists are optimists humanoid robot. I'll probably at least ultimately 10 eggs. What was needed for the car. At least to get to the full range of. Of useful roles. You can say like, if you have how many different roles, although for a humanoid robot versus a car. Here I go about this. Has probably. Well, 1000. Times more uses and more complex things than. In a car that doesn't mean the training scales by 1000, but. It's probably. You know, 10 eggs. Now you can do this progressively.
So doesn't mean like a Tesla going to spend like $500 billion in training compute. Because we would obviously train the. Optimists to do enough tasks. To match the output of bottomless robots. But and obviously the cost of training is dropping dramatically with time. So. But it is, it is. Like it is one of those things where I think long term optimists will be. Optimists has the potential to be north of 10 trillion dollars in revenue. Like it's really bananas. So that you can obviously afford a lot of training compute in that situation. In fact, even $500 billion training in that situation would be quite a good deal. Yeah. If you're just going to be incredibly. Different from the past, that's for sure. We live at this unbelievable inflection point in human history. So. Yeah.
So. The proof is in the pudding. So we're going to be launching. Unsupervised. Full self driving. As a paid service in Austin in June. So. You know, talk with the team, we feel. Confident in being able to do. An initial launch of. Unsupervised. No one in the car. Full self driving in Austin in June. We already have. It tells us operating autonomously. Unsupervised for self driving at our factory in Fremont. And we'll soon be a third during that at our factory in Texas. So thousands of cars every day are driving with no one in them.
At our Fremont factory. In California, they will soon be doing that. In Austin and then elsewhere in the world. The rest of our factories, which is pretty cool. And the cars aren't just. Driving to exactly the same spot because obviously at all. When it's light at the same spot. The cars are actually programmed with with with what lane. They need to park into to be picked up for delivery. So they drive from the factory end of line. To their space to their. Destination parking spot. And then put to be picked up for. Delivery to customers. And then during this reliably every day. Thousands of times a day. It's pretty cool. Like I said, these are the Tesla will be in the wild. Was no one in them.
In June in Austin. So the one I'm saying is this is not some far off. Mythical situation. It's literally. You know. Five six months away. Five months away. To everything. And while we're stepping into putting out two in the water gently at first. Just to make sure everything's cool. Our solution are at sort of a jet. Our solution is a generalized a solution. And so we're just going to be. Not does not require high precision maps of a locality. So we just want to be cautious. It's not that it doesn't work beyond. In fact, it does. We just want to be put a toe in the water. Make sure everything is okay. Then put a few more toes in the water. Then put it foot in the water. With safety of the general public as and those in the car.
With regard to optimists. Obviously I'm making these revenue predictions predictions that sound absolutely insane. I realized that. But. But they are. I think they will prove to be accurate. Yeah. Yeah. Now with optimists. There's a lot of uncertainty on the exact timing because. It's not like a train arriving at the station for us. We are designing the train. And the station and. In real time, well also bullying the tracks. And so they're like, why did it?
Why didn't the training? Right. Exactly at 12.05. And like we're literally designing the train and the track in the station in real time while you're seeing like, how can we predict this thing with absolute precision. It's impossible. You know, the normal internal plan calls for roughly 10,000 optimists will have us to be both this year. Will we succeed in building 10,000 exactly by the end of December this year? Probably not. But I would, will we succeed in making several thousand? Yes.
I think we will. Will there's several thousand optimists will be doing useful things by the end of year? Yes, I'm confident they will be able to do useful things. That those. The optimists in use at the Tesla factories production design one will inform. How would we change for production science here, which we expect to launch next year. And our goal is to ramp prop optimist production faster than maybe anything's ever been ramped. Meaning like aspirationally, an order of magnitude ramp per year. Now, if we aspire to order magnitude ramp per year, perhaps we only end up with a half order of magnitude per year.
But that's the kind of growth we're talking about. It doesn't take very many years before. You know, we're making a hundred million of these things a year. If you go up by. Let's say a factor, you know, by five X per year. It's insane. Not 50%. Five hundred percent. So. Yeah. Big growth numbers.
Yeah, but we do need to be it. This is an entirely new supply chain. It is entirely new technology. There's nothing off the cell. It's up to us. We tried desperately with optimists to use any existing motors, you know, any actuators, sensors. Nothing, nothing worked for a human or robot at any price. We had to design everything from physics, post principles to work for human or robot. And with the most sophisticated hand that has ever been made before by far.
And optimist will be also like play the piano. And be able to thread a needle. I mean, this is the level of precision. No one has. Been able to achieve. And so it's a really something special. So. yeah. So, and my correction long term is the optimist will be overwhelmingly the value of the company. Regarding energy back to us. It was the lawn. Can you come back over a minute?
Okay. Back to it. Energy storage is a big deal. And will become. It's already so important will become incredibly important in the future. And it is something that enables far greater energy output. To the grid, then is currently possible. Because the grid. The grid is are. The vast majority of the grid has no energy storage capability. So they have to design the power plants to. You know, for very high peaks. And assuming that there's no energy storage. Once you have grid grid energy storage and home based energy storage. The actual total energy output per year of the grid is dramatically greater than people think.
It's at least double. This will drive the demand of station race. Battery packs and especially the good scale ones to insane basically as much demand as we could possibly make. So. We have. Our second factory, which is in Shanghai, that's starting operation and we're building a third factory. So we're trying to ramp output of. The stationary battery storage as quickly as possible. Now that there is a challenge here where we have to be careful to.
That we're not rather take robbing for one pocket to take to another pocket because. For a given giga watt hours per year of the cell. We have to go into stationary applications or mobile applications. Again, go both into both. So we have to make that trade off. yeah. But overall the demand for total gigawatt hours of batteries, whether mobile or stationary. That will grow. To in a very, very big way of a time. So.
In conclusion. 2025 really is a pivotal for Tesla. And I, and we're going to look back on 2025 and the launch of unsupervised full self driving. True real world AI that actually works. Yeah, I think they may regard it as the biggest year in Tesla history. Maybe even bigger than office car. The roadster or the model. So the model three will model one. I think it probably will be if you're 25 is maybe the most important year in Tesla's history. There is no company in the world that is as good at real world AI is Tesla. I don't even know if he's in second place. Like you say like, who's in the second place for real world AI? I would need a very big telescope to see them. That's how far behind they are. All right. Thank you very much, Elon. And above has some of my remarks as well. Yeah, I'll talk about things on earth. As Elon mentioned in Q four, we set records and vehicles, deliveries and energy storage deployments in an uncertain micro environment.
We were able to grow auto and energy story volumes, but sequentially and on a year or near basis. For this, I would like to time the effects of everyone at Tesla to make this a reality and our customers will help us achieve this. Coming into the fourth quarter, our focus was to reduce inventory levels in the automotive business. And we accomplished that by ending the quarter with the lowest finished, good inventory in the last two years. This was a result of offering not only attractive financing options, but also other discounts and programs, which impacted the space. While we saw volume growth in almost all regions that we are creating, we hit a new record of for deliveries in the greater China market. This is an encouraging trend since we grew volume in a highly competitive BV market. On the automotive margin front, we saw a quarter or quarter decline, primarily due to lower ASPs and due to the recognition of FSD related revenue in Q three from creature releases.
Our journey on cost reduction continues and we were able to get our overall cost per car down below $35,000 to primarily by material costs. This was despite increased depreciation and other costs as we prepare for the transition to the new model, why for which we recently started taking orders in all markets. All of factories will start producing the new model, why next month, while we feel confident in our teams abilities to ramp production quickly. Note that it is an unprecedented change and we're not aware of anybody else taking the best selling car on the planet and updating all factories at the same time. This change over will result in several weeks of lost production in the quarter. As a result, margins will be impacted due to ID capacity and other lamplated costs as is common in any launch, but will be overcome as production is that.
We will be introducing several new products throughout 2025. We are still on track to launch a more affordable model in the first half of 2025 and will continue to expand our line up from the end. On a dollar for dollar basis, we believe we have the most compelling lineup today compared to the industry and it will continue to get better from here. As always, all our products come with the best software in the industry, autonomy features and capable of full autonomy in the future. And despite the premium experience, the total cost of ownership is close to mass market, less premium competitors.
In early storage deployments reached an all time high in key for this and resulted in, but declined sequentially. This was a result of higher. This sorry, the growth came from mega pack and power. Both businesses continue to be supply constrained and like Elon mentioned, we're trying to ramp up production with mega factory Shanghai coming online. This quarter onwards. While quarterly deployments will likely continue to fluctuate sequentially. We expect at least 50% growth in deployments here over year in 2025. Grass profit and margins in the service and other business was up year over year, but declined sequentially. This was the result of higher service and to cost and lower profit from use car business. The businesses within service and other primarily support on new car business, especially through their impact on total cost of ownership. Therefore, while they manage them to be positive on a gap business, we do not expect similar margins as the rest of the business.
There's a lot of uncertainty around tariffs for the years we've tried to localize our supply chain in every market, but we are still really reliant on parts from across the world for all our businesses. Therefore, the imposition of tariffs, which is very likely. And any super custody will have an impact on our business and profitability. Our operating expense grew both year over year and sequentially. The biggest driver of the increase was on the as we continue to invest in a related initiatives. The remaining increase came from growth in our sales capabilities and marketing efforts from refer program. For 2025 we expect operating expenses to increase to support our growth initiatives.
It is important to point out that the net income in Q4 was impacted by a 600 million mark to market benefit from Bitcoin. Due to the adoption of a new accounting standard for digital assets, where by will change, we'll take mark to market adjustments through other income every important period going forward. Our free cash flow for the quarter was two billion and display CapEx increase of over 2.4 billion in 2024. We were able to generate free cash flow of 3.6 billion for the year. CapEx efficiency is something we are extremely focused on while we have invested in a related initiatives. We've done so in a very targeted manner to utilize this spend to get immediate benefits. The build out of cortex was exulated because of the role. Ex actually tell us, accelerate the rollout of FSD. We were in 30. Accubility we had related CapEx including infrastructure so far has been approximately 5 billion. And for 2025 we expect our CapEx to be flat on a year or at least here basics.
In conclusion, you know, like Elon said 25 is going to be a pivotal year for Tesla. There are a lot of investments which we made and we'll continue to make in this coming year, which will set the pace for the next phase of growth. And, you know, it is something which now I'm getting out for the fourth. It is going to be out of this world. And we just play putting the right foundation. And that's all I have. Great. Thank you very much. Now we will move over to investor questions and we will start with say.com.
The first question is, is unsupervised FSD still planned to be released in Texas and California this year. What hurdles still exists to make that happen. You address that at Texas piece, I think already. So, yeah, I'm confident that we will release unsupervised FSD in California this year as well. You know, yeah. In fact, I think we will. At most likely release unsupervised FSD in many regions of the country of the US. By the end of this year. Like we're just putting a toe in the water, then few toes, then a foot, then leg, then you know, make sure everything's cool. And we're looking for a safety level that is significantly above the average human driver. So it's not anyway, like much safer, not like a little bit safer than human way safer than you.
The standard has to be very high because the moment this any kind of, you know, accident was an autonomous car. This immediately gets worldwide headlines. Even though about 40,000 people die over your in car accidents in the US. And the most of them don't even get mentioned anywhere. But if somebody's great session within autonomous car, it's headline news. We want to avoid that. Yeah. So it's really from an ex, the only thing holding it's back is an excess of caution. But people can suddenly get a feel for how well the car would perform as unsupervised FSD by simply having car, allowing a car to drive you around your city and see how many times did you have to intervene. But you wanted to be in all were a little concerned. But how many times did you have to intervene for? For definite safety reasons. And you will find that that is currently very rare. And over time, almost never. Great. Thank you very much.
The next question is, are there any discussions with other auto companies about licensing FSD? Yes. What we're saying is. At this point, significant interest from a number of major car companies about licensing. Tesla full self driving technology. What we generally said is the best way to know what to do is take one of our cars apart. And then you can see where the placement of the cameras are, what the film needs are of the Tesla AI and friends computer. That's better than us, you know, setting some cat drawings. And then we're really going to entertain situations where the volume would be very high. Otherwise, it is not worth the complexity. And, and we will not. But now engineering team with. The Boris discussions with other engineering teams until we obviously have unsupervised full self driving working throughout the United States.
I think the interest level from other manufacturers to license FSD will be extremely high. Once it is obvious that unless you have FSD, you're dead. Yeah. Great. Thank you very much. The next question is, is optimists now mostly design locked for 2025 production? Optimists is not designed large. So, when I say like we're, we're designing the train as it's going to redesign the train as it's going down the tracks while redesign the tracks and the train stations. Yeah. Yeah, it's it's it's rapidly evolving. It's rapidly evolving in a good direction. You know, it's pretty pretty damn amazing actually teams doing a fantastic job. We really have by far, I think by far the best team of human robotics engineers in the world. And we also have all the other ingredients necessary, you know, because you need a, you know, great factory pack. You need great power electronics. You need a great charging capability. You need a, you know, great communications, going to capital Wi-Fi and cellular connectivity.
And, and of course you need real world AI. And then the ability to scale that production to signal to huge levels. So you have to design for manufacturing. The things that, what I mean, the really what other companies are missing is they're missing the real world AI and the missing the ability to scale manufacturing to millions of units a year. I think that is an underappreciated thing that industrialization of design is the whole different thing than making a design. Yeah, prototypes that are trouble basically. Prototypes are easy production is hot. I've said that for many years. The problem is that there's like those have never been involved in production or manufacturing. Somehow think that you once you come up with some Eureka design that you magically can make a million units here.
And this is totally false. The, there needs to be some, there's some Hollywood story orbs where they show actually the problem is manufacturing. What do they do? I don't even know what it one is. You know, it's just doesn't fit the narrative. The Hollywood thing is like, it's like some loaned vendor in a garage goes Eureka. And suddenly it files a patent and suddenly there's millions of units. I like I'm listening to guys who were missing really 99% of the story. 1% is another old saying and 1% like a product is 1% inspiration 99% perspiration. The Hollywood church is 1% inspiration and minus but forgets about the 99% perspiration of actually figuring out how to make that initial prototype may factorable. And then may fact at high volume such that the product is reliable low cost consistent doesn't break down all the time. And that is 100 times water at least than the prototype. Then you have to get it there delivered back in the air.
Yeah, you're going to meet all these regulations and visually and regulated around the world. It's very difficult. Great. Thank you. The next question is also optimist related when we'll test will start selling optimists. I mean, we'll be the price being. Well, the it may for this year we expect to just close the loop with optimist. Being used internally at Tesla because we obviously can easily use several thousand human rights. For you know, like the most boring annoying tasks in the factory like the task nobody wants to do. Where we have to like beg people to do this task. And then they that it's like. Like the robots totally happy to do the boring dangers repetitive task. No, no humans want to do. And that's also actually some of the easiest use cases to rest and you know have have optimists. Do things like, you know, like load load the hopper like for, you know, like say in the body line.
If you like transporting, you know, pieces of sheet metal to the. The which is really real, but the robot holding line for the body and you just have to day non stop. Take things out of it out of a for one fixture to another fixture. And it's a very boring job. That's kind of thing with the optimist could do. Okay, it runs around. It's all the wealth. So in the in the fence. Yeah, there's there's a ton of boring jobs tedious jobs, dangerous, you know, so slightly dangerous jobs that that's perfect. So would we expect to use. Well, those tasks at our factories and and that'll help us close loop for improvement this year. It's really with production version two, which I think launches sometime next year. I'd like to be the big beginning of next year, but maybe it is more like the middle of next year. And and then we have to just go with it with a.
Production line that is. Designed for, you know, on the order of 10,000 units a month versus 1000 units a month. So when you design a unit for like we designed a production line for 1000 units a month. It takes you a while to actually reach anywhere close to 1000 units a month. And when you design and before any given production output. It takes you a while to actually reach its potential. The current line. That we're designing is for roughly 1000 units a month of. Of optimist robots. The next line would be for 10,000 years a month. The line after that would be for 100,000 units a month. And I think probably with product with version two. That is a very rough guess because there's a lot so much uncertainty here. Very rough guess that we start delivering optimist robots to. A companies that are outside of Tesla in the maybe the second half of next year, something like that. But like this is such an exponential ramp that will go from. No one's receiving human robots to.
These things like coming out like crazy. We can't build enough. We're always going to be in the we can't build enough situation. Demand will not be a problem even at a high price. And then I said like once we start, once we're at a steady state of above a million units a year. I think the production in order for I'm confident at a million years a year that the production costs of optimist. We'll be less than 20,000. You compare the complexity of optimist to the complexity of. The car. So just the total mass and complexity. Of optimist is. It's. It's much less than a car. So. I would expect that. At similar volumes to say the model why which is an over a million units here. That you'd see optimist be. I don't know half the half the cost. Or it'll be something like that. One, but what the price of optimist is is a different matter. The price of optimist will be set by the market demand. Great. Thank you very much. The next question is what is the status on mass production of the Tesla semi and how will it impact revenue and scale. I can say that one.
So we just closed up the semi factory roof and walls last week in Reno. So that schedule, which is great with the weather. You never know what's going to happen, but we're prepping for mechanical installation of all the equipment in the coming months. The first builds of the high volume semi design will come late this year 2025 and begin ramping early in 2026. But. As we said before, you know, the semi is a TCO no brainer. It gets really similar to the optimist. You know, set by how much people have been and you know, it has a total cost of ownership. It's much, much cheaper than any other transportation you can have. So at that point, when we're at scale, it will mean we contribute to Tesla's revenue. I think it's difficult to say how much. Thank you. Anyone? No, I mean, I. I do think it tells us that my game with autonomy. Is going to be incredibly valuable. You know, that we actually have a shortage of truck drivers in America. That's one of the learning factors on transport. And. You know, and. People are human so they get tired and sometimes and. You know, there's. It's, you know, I have a lot of respect for truck drivers because it's a tough job. But because it's a tough job, there's not that many people that want to do it. And this actually, if you're, I believe. If I were my saying is correct, there are fewer people entering truck driving as a profession than are leaving it. Yes. So when you think of it, yeah. Exactly. So, so when you consider, okay, if there's more people leaving truck driving as profession than entering it, well, we're going to have a real logistics problem as time goes by. So autonomy will be very important to me that that need. It's just like, yeah, a little. I don't know. It's a, it's a, it's a several billion a year.
Opportunity, which I don't know in this context is that. These days. Several billion a year matter. I think it does. Not nothing. It's probably, you know, it might. It's probably like the 10 billion year thing. Yes, a billion a month at some point, probably. But it's, it's, you know, all this is going to pale in the process into optimists. So. Yeah, a billion a month is a lot, but it's. It's not. It's going to be like 1% of optimists or something. Great. Thank you very much. We already covered the next question. I think opening remarks. So moving on.
Is it expected that Tesla will need to upgrade hardware three vehicles? And if so, what is the timeline and expected impact to Tesla's CapEx? I can then refer to cost. They're really asking the top questions. I guess we're in a way. And stop working on hardware three. Yes. The phone really says we released the one dot six release recently, which was like a, it's like a baby. But it's a significant improvement compared to what they had previously. And you know, people are still finding ways to distill larger models and smaller models. So we don't give enough on hardware three, we're still working on it. Just the releases will trail the hardware for releases. Thanks. Yeah. I mean, I think. The honest answer. Is that. We're going to have to upgrade people's. Hardware three computer for those that are for portable self driving. And that is the honest answer. And that's going to be painful and difficult, but we'll get it done. Now I'm kind of glad that not that many people bought the FSD package. Thanks, you want the next question.
Has Tesla given up on ramping their solar roof product? No, we're great. Sorry. Mike. Oh, Michael, I can take it. Yeah, solar roof remains a core part of the residential product portfolio and it's still remain. We're draws a lot of customer interest as fight at being premium products. We've worked on multiple iterations of engineering to make the product easier to install and distribute by the producing this queue count. And, you know, more recently, rather than direct installation, we are focused on growth through our nationwide network of certified installers. And many of those they've been selling solar roof for us for many years. It's actually turned out to be a much better way for the, like, it is just let the roof just supply product to the roofing industry. And especially when somebody's going to is getting a new roof anyway or holding a house from scratch. Obviously, this is by far the most efficient. And then we're going to put in the solar roof, as opposed to putting a solar roof on a house that where the roof still has, you know, 20 years of life. That that's not economically sensible, but. But if it's a new house or the roof needs to be replaced anyway, then solar roof can make a lot of sense. And, and it is, it is a premium product. It's, it's like the model s model X or something. It's like a, it's a premium product. I think it looks really cool. And you have, I mean, your house generates electricity. And if you combine it with the Tesla power wall battery, then you can be self sufficient. So even if the grid turns off, even if the grid turns off for several days, your house still works. And your roof looks awesome.
So it's like, I recommend anyone who had your can afford it, get the Tesla solar roof and the power wall. You're at least life might depend on it. Get enough and just, just in terms of convenience. You know, your kids are not going to yell at you because their computers don't work because the power way not and they're, and you can't charge your phone. Actually, happens. Yeah. You wish we can call anyone, but your phone's on the juice. Thank you very much.
The next question was covered in opening remarks. So we will skip that. And the last question from say.com. What technical breakthroughs will define V 14 of FSD given that V 13 already covered photonic. Well, we're going to help. But help us further than photons to upward. We've been in some of the nothing but that's. A situation nothing but neural nets from photons to controls for a while now for just improving the neural nets. I guess we could get into some of the technical details to some degree. I have to say I continue to be amazed by just how effective order of rest of transformers are at solving a wide range of problems. I mean, I show is that it's anything you'd like to add there without giving away the sort of family secrets. I mean, except for things to report on X already. Yeah, it's a country and to scale the model size a lot.
You know, we scale a bunch of V 13, but then there's room to grow. So we're going to continue to scale the model size. We're going to increase the context length the year more. The memory sort of limited right now we want to increase the amount of memory. Also give to even minutes of context for driving. We're going to add audio and emergency levels better. I'm going to add like data of the tricky, common cases that we get from the entire fleet, you know, any interventions, but any kind of like, you know, use intervention. We sat that to the data, the data set. So scaling in basically every access to training compute and a set size model size model context, and also all the reinforcement on the objectives. Right.
With that, we will move over to analyst questions. So just as a reminder, you will need to unmute yourself to ask your question. And the first question will be coming from Daniel Roska from Bernstein. Daniel, please go ahead and unmute yourself. Hey, good evening, everybody. It's Daniel from Bernstein. Elon Tesla share price clearly already includes quite few of the anticipated benefits you talked about today, yet realizing what you call kind of difficult, but achievable will take some time. What are you pushing the Tesla executive team to do differently now to accelerate the innovation in order to realize the value you described for the company. Well, I mean, we're. Working on perfecting real world AI and making rapid progress week of a week, if not, you know, so the month of a month, it's often recover week. I spent a lot of time with the Tesla AI team and the Tesla Optimus team. I mean, I go with the problem is essentially like, not, you know, if something is, this is, you know, unfortunately sometimes like, don't talk to Tesla executive like, Hey, we don't see you very often.
I'm like, that's because your stuff is working awesome. You're so working really great. Unfortunately, I didn't see them very often because I go with the problem is. So, you know, it's one of the problems with like what's the greatest challenge that lies ahead so. Obviously there's there are many challenges with the Optimus. It's a hard problem to solve. Many challenges with the vehicle of China mean, but we're making rapid progress in both. Yeah. Okay. I mean, sounds like you, you've got a conviction that the pieces you need, right, are are in place.
Yeah. If we kind of go 12 months down the line and we look back and you had some of those, but maybe what are the kind of two or three KPI's that would tell you that, you know, you're on track and it's going the right way and the pieces you put in place are the right pieces right that's kind of what I'm looking for. Or other way around. Where would it be off most likely in your mind that you say, Hey, I need to go back there and I need to change something to enable the team better. Well, I mean, I think my, the predictions that I'm making here are going to be pretty accurate.
Yeah, and it's worth the neck. So sometimes goes, Oh, you want to always late. Well, actually know the problems of the media reports on when I'm late, but never reports when I'm early. So sure I'm optimistic, but I'm not bad at mistake. You know, there are many cases in past where I actually we've been early, you know, such as completion of the Shanghai factory. Or, frankly, for factory completion is generally been ahead of schedule, not behind.
Yeah, so, so the. But I like some very confident will have released. Unsupervised, full self driving for the autonomous Teslas in Austin and several other cities in America by the end of this year. That's probably everywhere in America next year at everywhere in North America, at least. I think in terms of next year are constraints. I think it's likely to be just regulatory. You know, like, like Europe really has, for example, Europe is a layer cake of, of regulations and bureaucracy, which really needs to be addressed.
You know, there's this. You know, joke like America innovates Europe regulates. It's like guys. There's too many reps on the field. I mean, for example, for us just to release on just just to release supervised, full self driving in Europe, even though it works really well. We have to go through. Amount of paperwork with the Netherlands, which is our primary regulatory authority, then the Netherlands presents this to the EU and I think may. And there's like the state, EU country committee. We expect it to be approved at that time, but there's nothing we can do to make that may happen sooner.
In fact, nobody seems to. If I guess all the countries that have to somehow. If I was in some way to have it happen sooner than may. Otherwise, it won't happen sooner than may. So then, well, then when is unsupervised. Ever see a lot in Europe, I'm like. May next year, maybe I don't know. Well, to find out when you use meeting a game. Sometimes it's a 12 month cadence, sometimes it's six month cadence.
Then China, which is a huge, gigantic market. We do have some challenges because they weren't. It was currently allow us to transfer training video outside of China. And then. The US government won't let us do training in China. So we're in a bit of a bind there. So it went like. What are quandary? So what we were resolving that is. By literally. Looking at. Videos of streets in China that are available on the Internet. To understand and then feeding that into our radio training.
So that publicly available video of street signs and traffic rules in China. Can be can be used for training. And then also putting it into a very accurate. Simulator and so it will train using some for. You know, bus lanes in China, like bus lanes in China, by the way, what about. The biggest challenges. And making. FSD working Chinese is the bus lanes are very complicated. And there's like literally like hours of the day that you're allowed to be there and not be there. And then if you accidentally go in that bus lane at the wrong time, the. You get an automatic ticket instantly. So it's kind of a big deal. Bus lanes in China. So we're going to put that into our. Simulator train on that. The car has to know what time date is. Read the sign. We'll get the salt, but.
You know, I think we'll have on to buy. FSD in almost every market. This year. Limited simply by regulatory issues. Not technical capability. And then, and then unsupervised FSD in the US this year. In many cities, but nationwide next year. And hopefully we have unsupervised FSD. In most countries by the end of next year. That's the best. My prediction with best data that I have. Right. Great. Thank you very much.
The next question will come from Adam Jonas at Morgan Stanley. Adam, please feel free to admit yourself. Thanks everybody. So Elon. You've said in the past about LIDAR. For a visit that LIDAR is a crutch of fools errand. I think you even told me once, even if it was free, you'd say you wouldn't use it. You still feel that way. Yes. Care to elaborate or just. I have another question. Look, we even have a radar in the car and we tend to go. I got it. All right. So you're. People think you're crazy, you know, but.
For not. I mean, I'm seeing humans drive without shooting lasers out of their eyes. I mean, let's your Superman. You know, but. I mean, I'm sure you're right. I mean, I'm sure you're right. I mean, let's your Superman. You know, but like humans drive just with passive visual. It was driving with with eyes and a neural net and a brain neural net. So sort of biological, which is so the digital equivalent of eyes and a brain are cameras and. And digital neural nets are a I. So. That's the entire road system was designed for passive optical neural nets. That's how the whole system was not designed and what everyone is expecting out of the car.
That's how we expect other parts to behave. So therefore that is very obviously the solution. For full self driving as a generalize, but the generalize solution. For full self driving. As opposed to the very specific, you know, neighborhood by neighborhood solution, which very difficult to maintain, which is what our competitors are doing. Yeah. Yeah. Yeah. Yeah. I mean, I thought it doesn't work in the fall. Guys. Yeah, it has a lot of issues. Wait, I don't absolutely like the SpaceX dragon. Docs with the space station using light are that. A program that I personally spearheaded. I don't have some fundamental bizarre dislike of light. It's simply the wrong solution for driving car loan roads. Right. Right. You understand how light are works. I guess. I literally designed and built a earned red light. I oversaw the project. The engineering thing. It was my decision to use light on dragon. And I saw that that engineering project directly. So, oh, I'm like, we literally designed and made a rate of a ladder. The doctor space station. If I thought it was right solution for cars, I would do that, but it doesn't. Yeah. All right. Just as a project. Yeah. All right. Just as a follow up at CES. You said I paraphrasing that any AI will be able to do any cognitive task, not involving atoms within the next three or four years. And that would imply, Elon, that before the end of. President Trump's term in office, that AI would be moving pretty damn quickly into the physical world, into the world of photons and atoms. And I'm thinking, given your work. With the administration, how confident are you that the US. Has will have the manufacturing and the supply base to make good. On your excitement about physical AI by the, you know, end of, by latter this decade. We seem pretty vulnerable right now. I've seen you tweeting about, or sorry, X saying, excuse me, Elon, about China. Freudian slip about China having like making more drones in a day than the US makes in the year and all the entanglement of the supply. So what has to happen in the US to make that possible? What's your message and what can, what can you do about it? And what's relevant for Tesla, chair holders? Thanks, Elon. Well, Tesla, obviously we think manufacturing is cool. SpaceX, we think manufacturing is cool. But in general, for talented Americans, they need to be on, you know, my, beyond my company is growing me at an annual time. And my team is here. In general, we need to make manufacturing cool again in America. And, you know, like, honestly, think people should move from like law and finance into manufacturing. That's my understanding. This is both a compliment and a criticism. We have too much talent in law and engineering, law and finance in America. And there should be more of that talent in manufacturing. So. Yeah. I mean, I tell Tesla we're making sure that we can continue to manufacture our stuff. Even in the event of geopolitical tensions. Rising to very high levels. Great. Thank you very much. The next question will come from Pierre Farragou, new street. Pierre, please feel free to unmute yourself. Hey, thanks guys. I'll take things a question. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. I mean, I tell Tesla we're making sure that we can continue to manufacture our stuff. Even in the event of geopolitical tensions.
这是我们期望其他部分所具有的表现方式,因此这显然是解决方案,是全自动驾驶的通用解决方案,而不是非常具体地针对每个社区的解决方案,这种解决方案很难维护,我们的竞争对手正在这样做。我并不是对激光雷达有根本性的反感,只是因为它不是在道路上驾驶汽车的正确解决方案。就如同 SpaceX 的龙飞船使用激光雷达对接国际空间站,这是我亲自负责的项目,我在这个工程项目上亲自做出了使用激光雷达的决策。如果我认为激光雷达是汽车的正确解决方案,我会使用它,但事实并非如此。
在 CES 上,你提到在未来三到四年内,任何 AI 都将能够完成不涉及实物层面的认知任务,这意味着在特朗普总统任期结束前,AI 会迅速进入物理世界。那么,你对美国具备实现物理 AI 制造和供应基础的信心如何呢?目前我们似乎很脆弱。我看到你(抱歉,我应该说 X 发言)提到中国一天制造的无人机数量比美国一年制造的还多,以及供应链的复杂关系。那么美国应做些什么来改变这种局面呢?你想传达什么信息,以及你能做什么?这对特斯拉利益相关者有什么意义?谢谢你,Elon。
对特斯拉和 SpaceX 来说,我们显然认为制造业很酷。在美国,我们需要让制造业重新变得有吸引力。我认为人们应该从法律和金融领域转向制造业,这即是一种称赞也是一种批评。美国在法律和金融领域的人才太多了,而我们应该有更多的人才投身制造业。我告诉特斯拉,我们确保即便在地缘政治紧张局势升高的情况下,也能够继续生产我们的产品。谢谢大家,接下来的问题来自 Pierre Farragou, new street。请随意解除静音。
So I have a question you learn on. Departing like Robert X is in June in in Austin. So that's great news. And I was wondering if it means I can, you know, drive down to Austin in June and try. And try and supervise by myself is my car. Oh, it's going to be more like. Your fleet testing it. It'll be our fleet testing it. That's our sort of toe in the water. You know, we would be scrutinizing it very carefully. Make sure it's not something we missed. But it will be, you know. Right. Autonomous ride healing. For money in Austin. In June. And then. As shortly as possible, other cities in America. And I expect us to be. Operating had during concert vice. Activity with with with our internal fleet. And several cities by the end of the year. Then it's probably next year when people are able to. Add or subtract their car from the fleet. So, you know, come on Airbnb where you can sort of add or subtract your house or guest room. You know, you can say like. What do you want to do? I want to do that. I want to do that. I want to do that. So, you know, if you're a. If you're traveling for a month, you've been. Or whatever in case maybe you can. But other people use your house. And anyway, so that's probably next year, because we want to just make sure we're buying it out. Any, any kinks. And a lot of it is. We're not splitting the atom here. It's just a bunch of work that needs to be done to make sure the whole thing works efficiently that people can order the car. It comes. You know, it's the right spot does exactly the right thing. All the payment systems work. The billing works. Yeah. Okay. So, my, my sort of question would be, you know, I have a Tesla. I have a FSD and I have to get my eyes on the on the road all the time. It's super boring because I don't really need to intervene anymore. And the really annoying thing is that I can't just check my emails. And so are you working also on introducing, you know, like a kind of like free and supervised where I could be eyes off and I would be able to check. I would be able to check my email and we just need to with a five second notice have to go back and keep an eye on what's happening or is that something you're working on as well because it feels so close with this certain that I wonder if it's something we'd expect for this year. It's very sensitive question. I asked for myself to be honest. Yes. We just think we need to be very confident that the probability of injury is low before we're able to check the check check with their email and text messages.
In fact, right now we're in this perverse situation which may have encountered yourself where people actually go to manual driving to check the text messages. Yep. So the computer doesn't yell at them. And then go then put it back on autonomous mode. Once they have checked the text text messages, which is obviously less safe significantly less safe. They're just letting people check their text once in a while without the computer yelling at them. But we just want to be cautious about that at the end of that we're in this sort of, you know, neither here nor there. But just for, I mean, I think it's not for many months longer. But yeah, we're in this perverse situation where people will turn the car off autopilot so the computers and yell at them check the text text messages as well. It's the last area of the car with their knee and not looking out the window. And like, like you said, right. If you have any problems when the system. And when people are not looking, that is a dangerous. And that's what we're trying to avoid. It's the capability is getting there, but it's not fully there. That's why he was using the term of tipping toe in the water, then getting comfortable. Thank you. Anyway, it's not far off. But we were not want to prove to ourself. I didn't prove prove to ourselves and obviously proved to regulators that the car is unequivocally safer. In autonomous mode, then they're not. And that's we're not far off. So this is. Like low single digit months. To the safety aspect, we did publish our safe. The equal safety report today.
And then she was one crash for every 5.9 million miles. Treatment compared to a crash every 700,000 miles without. Right. So we're getting to the point where it's in order of. Yeah, it's like 8.5 times. So it's just about that. Yeah, it's amazing. Right. Alrighty. And our last question will be coming from Dan Levi at Barclays. Dan, feel free to unmute yourself. Great. Good evening. Thank you for taking other questions. You long you talked about the need for proliferation of sustainable transport in the past as part of broader push to sustainable energy. Okay, I know we've heard a lot about President Trump's plans to reverse the EV mandate and I think there's a view that. Given regulation is a driver of EV uptake. This could slow EV uptake in the US. So what would be your view on the right policy in the US. Given your comments in the past of the need to push for sustainable transport. You know, at this point, I think that that's sustainable transport is inevitable. I'm highly confident that all transport. Will be autonomous electric, including aircraft. And that it's simply it's it can't be stopped any more than. One could have stopped the advent of the external combustion engine steam engine or or one could have stopped the. Advent of the internal combustion engine. Like, like, even if you've been the biggest force advocate. And on earth, you'd like it like a. Courses are the way. Thought these new fangled car automobiles. You can't stop the advent of automobile. It's going to happen. And you can't you can't stop the advent of electric cars. It's going to happen. The only thing holding back electric cars was range and that is a sole problem.
Great. And then as a follow up, you know, in the past, you had made a comment that, you know, you'd be willing to sell cars effectively. No margin to get the cars out there. And there's a comment in the release today of the rate of. Acceleration of a Tony efforts does impact volume growth. So perhaps you could just talk about, you know, with your efforts on. FSD. How we should think about your desire to put more vehicles out in the market to. Take advantage of your of your tech advances. So I'm not sure I'm sending a question. But we have a lot of cars from millions of cars out there. So is your question, Dan, that how do we, how do we marry our future growth aspects with FSD. And go ahead and meet yourself, Dan. Yeah, more so just how much more aggressively you would be willing to sell your cars versus versus, you know, in light of your of your improvements on FSD. Well, right now the constraint we're trying to solve is. Battery production. As opposed to demand. So. And now Q one about this massive factory retooling for the new model life, for example, that obviously has a short of impact on output. But the problem with wrestling with in fact, we're talking. The executive team. And I were talking about just before this call was. How to prepare and how to increase total gig watt hours of factory production this year, one way or another. That's the constraint on our output. Great.
Alrighty. And with that, I think we are all down for today. So thanks everyone so much for all your questions. We look forward to talking to you next quarter. Thank you very much. Goodbye.
Alright, everybody, just one second here. Let me. We'll talk about earnings. Let me make sure we're all set up here. If you guys can let me know if the audio is at a decent level. It looks like it shouldn't be. But we can talk about the call. Talk a little bit more about some of the stuff we didn't get to this afternoon. If you missed the shareholder letter reaction. That's on the channel as well. Link is in the description.
But looks like. Pretty good call overall. Pretty positive reaction at least in the in the markets here. Looks like right now Tesla after hours at is at about $407. So up even a couple more percent after the earnings call. I think we. Elon started out with a lot of optimism, I think, and just confidence in where Tesla is positioned. And some of the things that should be coming for Tesla in the near future, whether that's this year, next year, the following year.
I think Elon set up the narrative well that. You know, we've been in this transition period for Tesla. We're starting to see the fruits of that, particularly with version 13. If that rate of progress continues and if Tesla is able to achieve what they think they can achieve, particularly relating to FSD, unsupervised in Austin this year. You really start to gain a lot of confidence in, you know, that transition period starting to move out of that into kind of the next phase of growth. For Tesla and that's where Elon's mind has been at. That's where it's at now. And I think, you know, he's always many steps ahead, but that's sort of the area that he mentally lives in is that, you know, future sort of sort of area.
So that's where he's already at. That's why he's been confident. That's why he's continuing to be very confident and excited about Tesla's business. I think he did a great job of just explaining that to people and, you know, representing it with a lot of confidence. So exciting to see. I think the market reacting positively to that. We talked a little bit about the earnings report on its own. The numbers not great. You know, obviously average selling prices declining. That's hurting automotive revenue, it's hurting automotive gross margin. That's hurting operating margins and profits and net income. All this sort of thing is there's a lot of negative repercussions of that.
But this is a point in time as every quarter is, it's a snapshot. It's a point in time. There's a lot influencing that from one quarter to the next. Last quarter, we had great operating margins, right? Relative to how the last few quarters had gone. So even just in the last six months, we can see how much that can fluctuate. So historically Tesla investors, or I guess the market more broadly speaking, haven't done a great job of really realizing that or recognizing that. But there seems to be in the after hours today, at least a fair amount of recognition that, you know, that's what we're living through right now. This is a transition period. We've got the new Model Y coming up. I think that helps with the market's optimism that, you know, average selling prices can rebound.
Cost can potentially continue to decline. Some of that margin comes back. But really what's most important, you know, if you're, if you're invested in Tesla, obviously there's a high multiplier right now. You're not really invested for profits on, you know, Model 3 and Model Y as they currently exist today. You're likely invested for other reasons related to AI related to optimists, things like this. Tesla's future cash flows that they can produce on future products. And the technological lead that Tesla seems to have had now for many years. And for those things, none of what we saw in Q4 is really all that relevant. You know, not to diminish that like the business as it operates is important. But really what's most important is that it can fund these, you know, investments in AI infrastructure.
This 450,000 H100 cortex that Tesla has been able to train FSD version 13 on, which we'll talk a little bit more about. And hopefully then version, you know, whether it's 13 or 14. Hopefully that can become unsupervised in certain locations and then Tesla can very rapidly roll that out. That's what, you know, that's what people should be excited about. And that's what's most important.
And I think interestingly, there's a pretty good amount of market recognition of that in the reaction today, which is again, a bit unusual. But again, I think Elon did a great job of contextualizing that, you know, stating it in both confidence and succinct way at the beginning of the call. I thought it was a great call from Elon and from the Tesla team. So excited about that. So we can go through the notes and then we can get to some of the topics that we didn't get a chance to discuss earlier today. If anyone has questions, I'll try to get to those as well. It's a little bit easier if they come through in the super chats.
I think I can just try to get my view set up here. Let me try to expand this a bit. Okay. All right. So just going to like go through some of the notes that we went through here, just kind of piece by piece. I mentioned a couple of the more major ones earlier though. So really just talking about the business, but maximizing volumes doubling down on autonomy, really more like 10 xing down on autonomy. We heard a lot about that throughout the call investments in AI and robotics that will pay immense dividends in the future, emphasizing that they will be immense path for Tesla to be the most valuable company in the world, maybe several times more valuable than the next closest company, maybe as much as the next five companies combined. There's a chance of that difficult pass path, but achievable path.
So we've heard Elon say things like this before, Apple, Aramco, you know, valuation combines multiple trillions of dollars. So nothing really new on that front, but seems like maybe if it's possible, even a little bit more confidence in that statement or of the probability of that outcome than when you want to set that before. And obviously the, you know, vast, vast, vast majority of that, which came up again when talking about the semi. Yes, semi could be a $10 billion product could have great margins on that. You know, I don't know what they would be 20, 30% when you include autonomy, probably even more significant than that. But I guess take that out for the second, when we talk about this, but even a product line like that, potentially pretty much a material to the opportunity for these other things as Elon has talked about.
Talking about increasing the utility of a vehicle, you know, potentially five times what it is today, just sitting around not being put to work. They didn't talk about it on this call, but one of the things that they've talked about before with hardware five is even potentially increasing the utility of that by potentially, you know, operating AI, sort of like a cloud based AI system when the cars aren't, you know, utilizing it for driving. They could potentially be using that compute for other things, which is probably interesting in the concept of what we've seen in the context of what we've seen this week with deep seek, obviously, or something like that. Deep seek, obviously, or, you know, over the last month or so with deep seek, but really sort of coming to you ahead this week with deep seek R one.
I would think that that would increase the probability of being able to leverage hardware that would be in a vehicle like hardware five for AI related tasks. But that's very early take, obviously people still sorting through what the implications of deep seek are, but that would have been a much better question. Adam Jonas Morgan Stanley, that would have been a much better question than asking about LIDAR. How many times do we need to ask about LIDAR? I mean, seriously. Go read the transcript from any other call over the last many years when that has been asked identically. It's just I can't I'm extremely baffled by asking that question extremely baffled.
Okay, I'm getting heated here, but sad, sad that that was the question that was asked. All right, where are we at? Autonomous and robots. Okay, great. So, LIDAR ground, we're structured for that in 2025 setting up Epic 2026 and ridiculous 2027 and 2028. So again, we're we've been in this transition period. I've been talking about this for a long time, but hopefully we're starting to come out of that. But I think one of the things we still don't really know much about too is the more affordable vehicles this year, Tesla mentioned 60% production capacity growth in 2025 from these new affordable models. That again, doesn't mean that deliveries will be up even production would be up to that level. You've got to ramp things that takes time. You're never going to utilize your production capacity at 100% rate. So just keep those things in mind. But we're getting, you know, we're in the first half of 2025 now and we still don't really know what these vehicles are.
So potentially some excitement and storm. I think that's something that's helping out with the, you know, the stock here, getting that reiterated that those are still coming, which initially when the report came out, the summary section made it put that in question, at least for me reading that. But glad to see that reiterated both in water and here on the call. So stuff about FSD. I guess at this point, let's just I can talk a little bit about my experience.
So I think, you know, if you're if you're reading about this on X, if you don't have a version 13 car, like I can, I can attest that it's a massive step forward. Version 13 for me has been incredible. It's been such a massive improvement over what was already a massive improvement with version first version 12.3.6 on hardware three. That was kind of the version to me where I was like, man, I'm a little bit blown away because the progress was probably the most significant step forward that I had seen in FSD over the, you know, two, three years that I had been using it. That was an excellent update.
And then, oh, since then, you know, a little bit slower progress, but that was for hardware three. Now in December, I got a new model three hardware for vehicle. And obviously that comes along with version 13. So both going from hardware three, version 12 up to hardware four, version 13, that to me was pretty much an equivalent in terms of significance step forward in FSD capability. I've got, you know, a little bit less than a thousand miles on the car already. 90% plus of that probably on FSD.
People will complain. There's always this like question of what is a safety critical intervention. Everyone's going to have a different interpretation of that. But if you take the truest interpretation of it, critical means that you would have crashed if this intervention did not occur. I do not believe that I've had a safety critical intervention yet. Now, there have been things that it definitely should not have done. Things that could potentially lead to something that would be a safety issue. But that's not necessarily a safety critical intervention, at least how I believe Tesla interprets it, or how I would necessarily interpret it in the strictest terms of the definition.
So, you know, again, not to say there hasn't been disengagement. It's not to say that there has not been interventions. There have been just a handful of those. And again, maybe those had I not intervened in those situations that could have led to a safety issue, but in terms of just safety critical at that time, I don't think that I've had a single safety critical intervention. So I'm extremely excited about it.
Not only that, it's also just so much more human-like. It's able to be very aggressive now, which I'm in Chicago, in the Chicago area. You kind of need to drive aggressively to both not incite road rage in people and also just to get where you need to be. Being able to be aggressive is important. And it's doing a much better job at that. Extremely smooth, confident, comfortable. It's awesome. It's so awesome. So if you haven't had a chance to try version 13 yet, I don't know, go test drive a car. I think they have version 13 on the vehicles and stores. So it's great. I've been extremely happy with the progress.
So you think about that step forward from hardware three to hardware four. You think about version 12 to version 13. Now think about, all right, hardware four to hardware five. I assume cybercab will probably have hardware five. And think about, you know, version 14. Aschak mentioned, all of the different sort of scaling, I don't know, levers is not the right word for it, but scaling verticals that they're, you know, each of these different categories of things that they can improve on. They still have a long path to continue to improve on. And, you know, when you've got multiple of these different scaling factors and you're scaling on all of them and you're doing it all very quickly.
There's a lot of reason to continue to expect progress, like the progress that we saw in 2024, which when we look back at 2024, if you just look at the earnings, if you just look at the deliveries, if you just look at anything in the earnings report, like this year was trash. Right. Like relative to 2022, 2023, you would say that, you know, this was a bad year for Tesla, but that's looking at the wrong stuff because 2024 was an excellent year for Tesla because FSD, according to Tesla, probably advanced 100 times, maybe 1000 times from where it began the year.
And if that happens again in 2025, then I think it's done. Right. I think it's solved. I think that gets Tesla to a level where this is a viable product, unsupervised roeotaxi and kind of what we've been talking about for the last, you know, five, 10 years is reality. And that's going to happen. It's going to happen at some point. So we're getting close and it's extremely exciting. I think that's part of, you know, why why the market has a high multiple on Tesla, obviously, in addition to just like sentiment and everything that's going on from like a regulatory perspective around, hopefully like a national framework for FSD. All these things I think are are helpful. Just in terms of like the stock price reaction the last few months, but.
Underlying the progress is what's most important. And again, somewhat surprisingly, the market seeming to be aware of that to an extent. So exciting. All right. So that's my car. Yeah. Otherwise the Model 3 has been great. Just the actual vehicle itself, you know, for me, it's mostly about FSD being able to follow the progress on that. That's the most important thing for me, but just that aside, the car has been a very nice upgrade to. I'm very happy with it. Okay.
So that's talks about utility. I may have said this before, but I think it was a good point for Elon to mention, you know, moving both people and cargo. I think people think of like, Oh, we're able to actually it's only going to be valuable during rush hour. So you really maybe you get like, I don't know, one and a half or two times utility in like a more bearish type of a situation. I think people just like really bad at understanding that when you have such a technological disruption or innovation, like what we would be seeing here, where you're literally just taking out the majority of the cost of transportation, which is, you know, a couple of fold. It's fuel, which electric vehicles dramatically reduce.
And then it's, you know, the actual person operating the vehicle, whether that's your own time or paying a driver. Those are the most two most significant costs by far. And Tesla's working on reducing any of the other costs as well, but those are the two most significant. When you remove or dramatically reduce those things, you just you completely create a new market that never existed before because things that people wouldn't have done before because they would have done before. And so they were too expensive. You all of a sudden you start doing and people have a really bad time understanding that and imagining what solutions people will come up with.
But I think that's one of the things that you want is fantastic with is he very innately understands that and just builds in that direction. And it's kind of like SpaceX, right? Like, you know, maybe day one of trying to build a reusable rocket. And Elon wasn't really thinking about Starlink, but he realized that maybe he was, I don't know, but if he wasn't, at some point along the way, you realize, oh, now that I have this lower launch cost, I can instead put thousands of satellites up and make a viable satellite internet at low Earth orbit for the entire world to use. And now it's, you know, this multi multi billion dollar product line that maybe people didn't even think about in the early days of SpaceX.
So very analogous to that. And some of the, you know, like, that's a big reason why it's not a comp to like Uber or Lyft. It's just, this is a completely different product, completely different business, completely different market. They're just so different. Very ranting today. I think I missed this a little bit. Okay. Bunch of utility, reality of autonomy is upon us. Don't know of a past precedent of this biggest value creation ever. We'll get better over time. I was a little bit surprised on the China stuff. Elon basically saying that they don't have a way to train from vehicles in China at the moment, which I don't know if that had been disclosed or if I had realized that was the case before.
And it does sound a little bit challenging. Well, I guess two things. It sounds a little bit challenging to be able to just train on videos that are on, you know, just randomly on the internet. And then the second consideration would be that, and this is more of a red flag, if Tesla can just train off random videos that are on the internet, then presumably other people could get to the point where they could also just train off random videos that are on the internet. And maybe it's only applicable to Tesla because they do have so much robust training data from their fleet across other regions. But if that's not as major of a factor, then it would suggest that the lead generated by FSD could potentially be a little bit smaller.
If someone can just go out and build another cluster, 50,000 H100s and train off random videos on the internet, I mean, including FSD, there's a lot of those now these days. Again, I don't think that that's really the case, but it's something worth considering and also would have been another good question for an analyst to ask about instead of LIDAR. All right, more excitement about 2027, 2028. Elon said a couple of times working to grow annual volumes, battery pack constraint. He mentioned that they continue to exist in this like decision trade off situation where should battery packs go to energy or should they go to automotive. I think that's being like a little bit generous to the automotive business. That's pretty clear this year that, you know, if you look at the average selling prices and things like that and volume decline over year over year, like there was definitely demand issues throughout the year this year. Now, that doesn't mean that there's not also supply constraints and those constraints affect the business too. And when you think about like forward looking after this launch of this Model Y, especially with these new, more affordable vehicles coming online, you can very quickly get back in your situation where you are battery constrained instead of demand constrained.
These things always have been a flow. That's why people shouldn't be so critical whenever demand constraints are raised. I know that was a major sort of like hurdle when this sort of stuff started popping up as people kind of coming into the realization that that is a possibility for Tesla. And again, that's okay. You know, these products are the most popular products in the world. Model Y, it's the best selling vehicle in the world. At some point, you get to the point where the product plateaus and that's fine as long as that's not the growth lever for the company, for the rest of its existence, which is very clearly not the case for Tesla.
这些事情一直在变化。这就是为什么当需求限制被提出来时,人们不应该过于苛刻。我知道当这一切刚开始出现时,人们意识到特斯拉可能会面临这种情况,这算是个主要的障碍。不过,这没关系。要知道,这些产品是世界上最受欢迎的。比如说,Model Y 是全球最畅销的车型。到了某个时候,产品的销售会达到顶峰,这是正常的。只要这不是公司在未来发展的唯一推动力,那就没问题。而对于特斯拉来说,很显然不是这种情况。
So eventually each product is going to hit that plateau. That plateau may last for a while. The next wave of growth may not be there yet, but that's okay as long as the company continues to execute, continues to lead, which I've always said, most important for me as Tesla's leading in electric vehicles. And leading in autonomy, which I always continue to believe is the case. So in that situation, it's just kind of a good reminder of that. And again, things change quickly. So yes, I think there are domain constraints at periods of time this year. Yes, I also think being battery pack constrained can still make sense in that context.
Vehicle safety report. So I talked a little bit about that. There was the chart in the earnings report. So I won't recap that again here. But again, check that video out if you didn't have a chance to do that yet.
Version 14, another step forward. So ashek talked about some of the reasons that version 14 would be another step forward. Training for optimists. So a lot of really good information on optimists, but you know, obviously the use cases for humanoid robots are much more diverse than a vehicle. So training capacity, training capability probably needs to be significantly higher. Maybe there's a thousand more times use cases who knows how accurate Elon's just talking orders of magnitude here.
But you probably don't need to just scale training a thousand times, maybe with improvements, both in terms of how training is done. And certainly in terms of training costs, maybe it's, you know, 10 times more training capability that's needed in terms of like CAPEX or something. Over time. Long term optimist potential be north of 10 trillion in revenue.
So Elon said, you know, this year they hope to be able to produce at a rate of a thousand per month. Next year, maybe 10,000 per month, maybe version three a year or two after that or something. More like a hundred thousand a month. So looking for a significant ramp here, because the battery capacity for the optimist robots will be smaller than on a per vehicle basis. It makes a faster ramp, something that is potentially more achievable.
The counter arguments of that is that Elon did say that a lot of this technology and optimist or maybe even all the technology that's used in optimist is something that Tesla had to design. There was no part available that they could buy at any price. And when you're in a situation like that, as Elon has said many times production is the hardest part.
So I think he's excited about the possibility of it. But when you're talking about a complex product like this, especially a new product that's in the early stages of iteration. And all of those parts for that product are unique and something that no one has really developed or supplied before.
Yeah, there's a lot of risk to a production ramp from a situation like that. So Tesla's not any stranger to that. Nothing there that would be surprising, but just something to keep in mind. Although on one hand you've got the excitement of it, keep that in the back of your head as well.
Future's going to be incredibly different than the past. That's for sure. Yeah, I mean, man, versus two years ago, where society is at right now is, I mean, it's night and day already for the people that are paying attention to what's going on. So it's crazy. The rate of accelerating technological innovations in progress here is nuts.
So I think we're just going to continue to see that. I mean, it's every week, right? We get some pretty major update in artificial intelligence. And there's insane potential for that to benefit other areas of technology too. All right, I bolded this, but obviously everyone, I'm sure heard that. So launching as a paid service in June, obviously the most specific precise timeline that has been given definitely sounds like California will be later. No surprise on that given probably a higher regulatory burden.
But we'll see June 2025. It's, you know, it's very close. Who knows if that will happen on time, but it's nice that Tesla's confident enough to state a date and it's, you know, mid 2025 is probably, I don't know, maybe a little bit earlier than that. People would have expected. So definitely exciting to see that on there as well.
Operating if you didn't see the videos yesterday yesterday on X, Tesla's already doing this at their factories. So pretty cool to see that. I also talked, I also liked and noticed this in the video that, you know, they somehow within the software, Tesla is giving specific instructions on where these vehicles need to be in, you know, sort of a parking lot situation.
如果你昨天没有在 X 上看到这些视频,特斯拉已经在他们的工厂中实施了这一操作。所以看到这样的情况真是很酷。我还在视频中注意到并喜欢这样一点,就是特斯拉在软件中给这些车辆提供了具体的指示,告诉它们在类似停车场的情况下应该停在哪里。
Right now with FSD, it's kind of just like, yeah, you go to the general, if you go to the general destination and then you're there and, you know, it doesn't necessarily know exactly where to go or what to do with that point. And I think that's, you know, to come shortly, but obviously, Tesla utilizing some other addition to the software to manage those things with their fleet on the line.
There's also the camera calibration stuff. Tesla's doing that throughout the manufacturing line now, they said. So they can just, once they're at the end of the production line, they can just drive off without having to worry about the camera calibration. I'm sure there's still some calibration that's happening, at least I would guess, but it's not enough to not make it work for that use case. So that's cool.
All right, so yeah, just like starting slow, obviously makes sense. Internal plan for 10,000 optimists this year. Probably won't achieve that, but probably several thousand doing useful things by the end of the year. Again, much sooner than I think people would have guessed, certainly 12 months ago. Perhaps making a hundred million of these things a year in the future, which would mean that, you know, there would be a billion of these robots out there at some point.
Entirely new supply chain, we talked about that. Optimists being the majority of the value of the company. I don't think that's a new comment. Back to Earth, some of the current stuff. Energy, if you follow the AI stuff, I mean, maybe deep-seak changes us a little bit, probably not overall. Power is in demand. Power and energy, there's a lot of discussion on what needs to be done. I think the All in Podcast was talking about this the other day. Just the power and energy needs, especially in the United States, to ramp those up, to be able to stay competitive on the planet.
全新的供应链,我们之前谈过。乐观主义者认为公司的大部分价值在于此。我认为这不是一个新观点。回到现实来说,当前的一些情况。能源问题,如果你关注AI方面的内容,可能深海科技会对我们产生一些影响,但总体而言可能不会。电力是有需求的。关于电力和能源,大家讨论很多,尤其是在美国,需要提升这些方面以在全球保持竞争力。我想“All in Podcast”前几天也在谈论这个话题。
Just because of the demand for power and energy with data centers related to AI is going to be so significant. Obviously, the return on having those capabilities should be very high and also of national security importance. The energy market is probably one to be pretty bullish on. Obviously, through Tesla energy can be a significant contributor to the utility of that market. I'm fully in agreement with them on this. We had not heard this yet, but I also bolded this building a third mega factory.
That's extremely exciting as well. I think that was where Elon mentioned that one of the things they need to consider is where the batteries are allocated between energy and automotive. It sounds like that's a little bit potential constraint when it comes to this third mega factory. I've seen a lot of people question like, hey, you keep saying energy demand is crazy. Why don't you just build like five of these? That's obviously the reason is because there's not necessarily battery capacity to be able to do that.
I think people have forgotten about battery constraints in the last year just because there's been a little bit software EV market. But it's still a challenge and still something that needs to be grown improved over time. Demand for total gigawatt hours will grow in a very big way over time. A pivotal year for Tesla, perhaps the most significant year in Tesla's history. Vibobs opening comments here. A lot of this we discussed in the earnings report. Episode earlier. He did mention that they probably are going to see a decline in production. Probably, obviously deliveries and margins as they transition to the new Model Y here, which no surprise, like that almost goes without saying, but just an important reminder.
Marked to market on Bitcoin. We talked about that, but that'll happen in all future quarters. I need to look at the actual mechanics of that, but something that benefited Tesla quite a bit this quarter in terms of the bottom line numbers. CapEx flat year over year. Wouldn't be surprised to see that increase, but looks like for now flat. So California and perhaps many other cities for unsupervised FSD. So I think contextually different comments here on licensing FSD this time around. Elon had mentioned before that there was some discussions. It sounds like those discussions are either greater in number or more significant or serious now than maybe at that time when it was previously discussed.
So I think they're getting a lot of interest here, and I think that's probably related to version 13. Again, this is when you drive it, it just feels different now. It just feels different. It feels confident. It feels smooth. Yeah, maybe there's some issues sometimes, but it's, you know, I think for someone that was skeptical before being in it now, it becomes much more difficult to be skeptical. So I think that's probably a factor in the comments that we're hearing here from Elon on licensing. Which is great. Having your competitors reach out to you about trying to use your software. That's great. Strong position to be in.
As Elon said, I don't probably put a ton of weight in the value of this at the moment because I think any of these OEMs, it's going to take them many years to sort of integrate. And by then, you know, the market's reaction to the value of this should be quite significant already at that point. So I think it's a positive sign in terms of like the actual earnings to the business. Not sure it's incredibly important. Certainly not in the year term, near term, just because of the time that it would take to implement those things for relatively slow moving OEMs. Optimists not design locked. So also a good hedge on some of the production milestones and stuff that were mentioned. Okay, we talked more about that.
Yes, so the question on optimist pricing. Pricing is just a function of supply and demand generally unless there's some other factor at play, but cost is the more important question. Elon saying in a million a year, he thinks it would cost less than 20k, probably less, probably something like half the cost of a model Y just based on basically the build of materials. So. Makes sense there. Semi. So kind of what they said in the earnings report ramping next year, huge demand, especially with autonomy. Again, something that I think people kind of forget about when they think about FSD from times of time, but that's a massive market. Elon saying, you know, if we're honest, we probably are going to have to upgrade hardware three. He didn't get into the specific costs. He did say just, you know, didn't say, but he did specify the computer for hardware three. If that's the case, that should be, I don't know, not the most difficult upgrade.
I know Tesla has upgraded computers on previous cars. I want to say it was, I don't know, like a $1,500 cost item. And obviously, Tesla is saying here that they would be paying for those costs, but if they're not getting into the cameras and things like that, then hopefully it's a relatively easy change, but you know, who knows it. It does sound like it would be, you know, as they say, you're paying full and difficult, but they would get it done. Now, now that Elon has said this, there's obviously going to be a lot of customer pressure to do this, especially as version 13 and hardware four vehicles performance is super seating hardware three. I've kind of had the thought even though I did upgrade my car because I just wanted to be current with the progress.
Again, I think deep-seek a good example here. Over time, the capability of what you can do with limited hardware increases as people figure out how to optimize things. So I think kind of like giving up on hardware three may have been a little bit premature, but it does sound like, you know, Tesla's at the point where, you know, they think maybe they're going to have to do this anyway. Maybe these optimizations aren't going to come or aren't going to come quickly enough. So, you know, maybe they feel it's the right move to upgrade those customers. I tend to, you know, I guess agree with that.
I think it really just depends on how long Tesla thinks it would take to kind of get to that level. If they think it's going to be many years, then yeah, definitely. I think go ahead with the upgrade. If they think it's going to be six months, then obviously it doesn't make a lot of sense. So I would guess they think it's more in the latter camp, if at all. So I'm not giving up on solar roof. That's good to hear. We talked a little bit about that earlier today. So good to see that. Not giving up. But also sort of tempering expectations, premium product, et cetera. I think those expectations are pretty low though. So maybe not even tempering them.
So version 14, just talking about again, still room to grow the scaling of the model size, the context length, the memory, adding audio inputs, increased data from the fleet from corner cases, just all these different facets that they can continue to improve on, distill into an even better model with version 14. And then eventually, right, we'll get hardware five, AI five, continued to upgrade the hardware as well. All right, in all those questions.
Yeah, I don't think anything to note worthy in here. Interesting to get a little bit more context on the regulatory burdens, both in Europe. We talked a little bit other about China as well. Maybe that's Empress a little bit of optimism around potential FSD. I feel like we see every quarter. There's some rumor on X that FSD is going to be released this quarter in China. That's not what it sounds like here from just kind of like the tone or the context that Elon gave here, but who knows, he did also say unsupervised everywhere kind of next year. So tough to really know.
Let our question our favorite US manufacturing. Yeah, obviously, you'll end up in support of that. I like to be your question, just like trying to understand. All right, unsupervised in Austin in June. Does that mean if you have a Tesla in June in Austin that it can also be unsupervised? And I think the answer was no, it would just be Tesla's fleet for now. Just like how Tesla on, you know, at the factory has something that is not in the public version of FSD to be able to handle a lot of the data. To be able to handle like where the vehicle is supposed to go and park for, you know, for distribution. Just like they have a little little tweaks like that.
I would suspect that they also have things like that happening in this internal fleet when this testing time does begin. So I think that's why they wouldn't necessarily just like let other people use it unsupervised right right away. But it does sound like they're aware that we're in this kind of weird period where, as they said, people will just disengage FSD to be able to look at the vehicle. And then there's a lot of FSD to be able to look away from straightforward for a minute or a few seconds to be able to check a phone or whatever. Obviously dangerous, so not a good situation to be in. But kind of like learn to behavior from getting yelled at by the camera. So it's a tricky situation.
You know, there's probably not any great solution during this interim period other than just to like get out of it as fast as possible. So I think that sort of, you know, getting out of it as fast as possible is kind of the answer to Peter's question. So I do think that it's something that, you know, Tesla will try to do. But obviously they want a way to be able to, you know, test this. Their version of what they think the future is going to be like that seems to be the priority versus trying to take away the nags or something sooner.
We've talked about this before, but kind of like level four systems. I don't think Tesla cares about it all, which I think part of Pierre's question was, you know, can it just let me know like five seconds before I need to actually pay attention. It's just Tesla's not going to spend the engineering resources when they feel like they're so close to a level five system. They're just not going to spend the engineering resources to try to like make the current solution work for something like that. When in their view in maybe three or six months, it's the capabilities are beyond having to be able to monitor anyway.
So they're just not going to spend any time trying to optimize for that. But hopefully once they're able to do it, you know, very quickly follow on with letting personal ownership be unsupervised as well. All right. I think that's everything for the most part. As I said, interesting call. Good call. I think I think it did a good job of just, you know, level setting or. We invigorating or or whatever word you want to use, refocusing the attention on this transition period that Tesla is in and all of the exciting growth opportunities that. We seem to be a little bit on the doorstep of both with new models coming in the next few months, hopefully on supervised FSD in a limited way in the next few months. We're definitely in an exciting time, even though the financials, you know, are much less exciting in this current quarter. Still a lot to be excited about and product updates, you know, new model.
Why? I think it's going to be a great vehicle. It's an improvement to what's already the best selling vehicle in the world. And I think Tesla's, you know, my expectation would be that Tesla's through this update probably has figured out ways to continue to bring costs down on the model Y as well. And then hopefully you can leverage that across an even larger production rate for vehicles, you know, across the entirety of Tesla's business. So I'm exciting on that. Okay, I do see some super chats here. So let me take a look at those and then we'll probably wrap up. These are a little bit tricky for me to read here in this Hollywood KW. Thank you. I can't put this on screen, but that's just a compliment, I guess. But I guess I'll read it. I'll take Rob solid analysis and discussion over the shallow, quick-bated, instant sensationalized YouTube test of content that is out there in Fotainment over entertainment. Thank you. I mean, I think you guys know one of the problems I had with just being a YouTuber, I guess.
Don't really like love the phrase, but one of the problems I had with it was just like, it's, you know, there are so many incentives. It's very hard to like swim against the grain of seeking attention because that's what you need to do to monetize, to be able to afford, you know, to run that business. It's just that's how you increase revenue. So I really did not like that. And probably one of the worst parts of what I, you know, was doing for a long time, not that I was engaging in that, but just like having to swim against that for a long time.
So I appreciate that recognition and appreciate the support because if you find people on YouTube that are not engaging in that stuff, you should definitely support them because, you know, they're making that decision actively and they're making it against a lot of incentives that. So I would suggest that they should not do that. Oh, Rex, good to see you on here. Rex said, if you believe an Elon's master plan and his abilities, cars and energy are important now, but will be much less important in the future. Like Ron Barron says, this is a generational opportunity. Yeah, totally agree. If you look at all of the businesses that he has been in, you know, it's always building for the next, for the next wave of growth and tessels gone through so many of those through the years, SpaceX is the same. So excited to head into the next one. Benjamin, I would pay a small amount for Tesla monthly. Any idea why they don't release detailed safety data on FSD data usually includes AP. So a couple things. So if you're talking about the safety report, I think the majority of that now is probably FSD. Maybe I'm incorrect in that thinking, but that would be my hunch. Now people ask like, okay, if Tesla's out like whatever, thousands of miles in between safety critical disengagements according to their calculations, why doesn't Tesla show us that data? The problem is that Tesla doesn't want.
Once you start sharing that data, you need to share it forever. Otherwise people will, will interpret the lack of sharing in the future as a huge red flag, which, you know, may be fair, maybe not. But once you start sharing something, then you need to continue to see consistent progress on that metric. When you're talking about something like FSD and to some extent, like the rate of progress is unknown or the ability to progress in the future is unknown, specifically the timeframe for that progress.
As we've seen over the last many years, now I think Tesla has a lot more confidence now, but there's not a lot of upside to sharing it at the moments. If you get to a situation where let's say the progress like stalls out for a quarter, a couple of quarters, whatever, or even a regressives, even if it's due to seasonality, right? Like we talked about that with the safety report. There's regression due to seasonality. Once you start sharing these metrics, all of that sort of context starts to come into play. All of the questions start to center around those types of things.
And then you're also putting a metric out there that potentially is the right metric to optimize to, but once you start publishing those things, then inherently, there's some cultural attention to optimizing for those things. And maybe it's not the exact right metric that the team should be focused on at that exact moment in time. So there's very few benefits to sharing that. What does that do for Tesla? Does it just helps their stock price or helps consumer confidence, I guess, maybe a little bit, but those things are really not important if Tesla feels like they're actually going to solve this. The most important thing is just solving it rather than having to worry about these questions in the interim period. So if anything, it's just more of a distraction. There's risks associated with sharing those things that it just doesn't really seem worth it to me. So I think Tesla probably agrees. It's a good question though.
Alan, thank you for the superjet. Jack, good to see you on here. Optimus projections, 100 million units per year costs a 20K per unit, annual costs of $2 trillion per year, anticipated revenue of $10 trillion per year, gross profit margin of 80%. $8 trillion gross profit per year, missing anything. So yeah, on the numbers that he specifically said, fair, I think the $10 trillion though, he could have been talking about an even higher production rate, which I think Elon may have alluded to in the past. So obviously, if you say that's 200 million units per year, then that changes your gross margin equation pretty significantly. So I wouldn't necessarily link those as directly because they were separate comments.
Again, just trying to get through some of the superjet questions here. Was this the first call in a while where a dojo question was not asked? Probably. Probably. I do think Tesla is still working on dojo though, still focus. I'll tell you how good to see on here. No, you have other things going on, but please don't stop the quarterly calls. No plans to stop the quarterly calls. Like I said earlier, I think I enjoy this. So it's good to be back every once in a while. Stephen, just asking about First Principles Group. Yeah, so for those of you that don't know First Principles Group, that's my current primary focus for the foreseeable future. You can learn more about that at First Principles.group if you're not familiar.
再次尝试解决一些关于超级喷气式飞机的问题。这是近期第一次没有被问到Dojo(道场)相关的问题的电话会议吗?大概是的。不过,我确实认为特斯拉仍在推进Dojo的项目,仍然非常专注。我很高兴能在这里见到大家。虽然你们有其他事情要忙,但请不要停止季度电话会议。我没有计划停止季度电话会议。正如我之前所说的,我认为我很享受这个过程。所以偶尔回来感觉很好。Stephen 问到了关于 First Principles Group 的问题。对于那些不知道 First Principles Group 的人来说,这是我在可预见的未来的主要工作重点。如果你不太了解,可以访问 FirstPrinciples.group 了解更多信息。
Alright, so I think that's all the super chats again. Thank you for those. I really appreciate that. And I think we'll wrap it up here again soon, but I'll just reiterate FSD version 13 for me has been great. I'm in a difficult driving situation, right? Like I'm in the middle of winter in Chicago. It's very busy. You know, not that I've been dealing with like a lot of snow on these drives or anything. Like I think the road weather as it were has been fine. But it's been great. Obviously traffic is quite high in Chicago, but it's been performing phenomenally well. I love it. I can't imagine having a car that doesn't have FSD.
It's just so nice, so convenient. Especially in environments that you're not familiar with, right? I'm pretty familiar with Chicago at this point, but it's not an easy place to drive if you have not driven here before. And FSD feels like it's been driving here for a long time, which is really nice. So, alright, we'll wrap it up. Again, if you didn't catch the episode earlier, you can go check that out. We talk a little bit more about the financials in there. I think that's it.
Oh, someone did ask me for the politics talk. So I guess we'll wrap it up there on the least fun thing to discuss. Everyone's got their own feelings on political issues, right? And a lot of people's feelings are based in really great reasoning. And I think there's a lot of constructive points of view that people have on both sides for various different reasons and leads them to different conclusions. So I don't think having political discussions in a format like this where I'm talking to a lot of different people with a lot of different opinions. And I can't have any sort of back and forth with each of those people is really not super productive. So I won't get super deep into it, but I'm trying to remember what the specific question was. I think it was around, which I'm kind of talked about in the call, which matched what I had said briefly earlier before. It was kind of like the question was essentially, you know, it seems like there's a conflict in terms of what Tesla seeks to achieve with sustainable energy and the direction that the current administration seems to be taking around energy. Basically, you know, how do you resolve the conflict between those two different points of view? I think the first is that different points of view are acceptable, right? Like there's nothing wrong with having different points of view. Just because, you know, Elon may have a different point of view on energy doesn't mean that he can't be involved in an administration that has a different point of view if he has the same point of view on a lot of different other areas, which I think is the case. I think people like very, for some reason, like very much isolate and on one specific thing, which is oftentimes, you know, incorrect, especially to do when we're talking about a situation where there's two political parties, right? There's two choices and there's thousands of issues and there's going to be disagreements on, you know, across the board and in some, you know, percentage.
So first of all, I don't think the conflict is, you know, the expectation to not have any sort of conflict or disagreement or whatever is, you know, sort of a false premise to start with. And then in the case of this particular, I guess, quote unquote conflict or whatever, as Elon said, I don't think it's a major concern for him because I think that, and he very clearly stated it, I think that he thinks that the technology, the path for technology for sustainable energy, I don't want to say like achieved, but I think that he thinks that that path is certain because Elon's thinking of things from a first principles perspective and he thinks that those first principles are organized or whatever they exist in a way that makes this and inevitability. And what Tesla's always trying to do is accelerate that, right? Like they're not saying that we need to, like Tesla's never said that we need to regulate this because it's not going to happen if we don't regulate it. Tesla's always just tried to bring the technological accelerant acceleration to make that happen more quickly. And I think Tesla's done a great job of that. And I think they'll continue to do a great job of that regardless of what regulatory regime exists in whatever region. Like that's not going to change Tesla's focus on on achieving those things and helping, you know, accelerate that progress to these new technologies that are should be fundamentally superior, at least from Elon's point of view.
So the analogy he gave there was was great. Like no matter how much regulation you had around horses or internal combustion engines, like internal combustion engines were going to win. Similarly, autonomous electric vehicles are going to win for the reasons we talked about before. You have much cheaper costs of operating them. It's just, you know, that's how sound technology and economics and everything works. Those are the forcing functions that ultimately are going to matter most rather than the regulatory forcing functions. So I think that's how Elon views it, how he squares it with his involvement and, and all sorts of things like that.
So do we, do we, a couple more, another super chat in here. Anders, thank you. Do we pay enough attention to the amazing safety report referenced? So again, I talked about that a little bit in the episode earlier today. So I won't reiterate that but go back and watch that if you missed it. It's tough. Like, do we pay enough attention to it? I think we do in sort of like this Tesla space outside of it, probably not. It's tough because like the data that Tesla's presenting there is not great. It's, you know, they're comparing instances where autopilot or FSD is active, which generally could be active in situations that are safer in general versus then comparing it to just a total aggregate of all miles driven in terms of like collision rates for, you know, US population of cars on average. And again, the population of those vehicles can be older. Maybe those are older vehicles have some faults that causes them to be more for clean accidents. Maybe they don't have the advanced active safety features that most cars on the road that are newer vehicles have. So there's a lot of flaws in using that as like the benchmark.
If you're talking about being 10 times better, you need to be 10 times better on the same system, right? Which would be a Tesla vehicle driving the exact same miles, same driving domain, everything the same. You need to be better on that versus just like the overall vehicle average. That should be the bar. And you should probably be significantly better because of all the issues around, you know, liability. Like you're going to, you're going to be fine if you crash yourself. You're not going to, well, people are going to still blame the other party, but let's say you crash yourself into a wall. Or something that's going to be much more acceptable to you and to the media and to the judicial system and all that sort of stuff. Then an autonomous vehicle crashing into the same wall in the same circumstances. So it's just it needs to be better for many reasons. And I don't lost my train of thought there, but hopefully that makes sense.
Will Rob, I think I speak for everyone here. We miss you a lot. I'm also in pay subscription for the Tesla weekly on Apple podcast. I can I can consider it. This was a lot of fun. I think I'm I think I was pretty burned out on Tesla daily. I think I'm like starting to get a little bit out of that burnout, which is really nice. So this has been good. I'll consider it. No promises. I'm going to keep doing the quarterly. But it is nice to be back and just the support is awesome. Like this this audience and communities always been awesome and that continues obviously. So I really do appreciate that.
All right. I got to wrap it up. It's been four hours of this almost. So I appreciate you guys tuning in. Again, this was a pleasure. I'm excited. You know about the earnings call. I'm excited about what's to come this year in 2025. And I'll try to check in at least a little bit more frequently at least on X, if not if not on episodes.