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Elon Musk
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director, Tesla

Elon Musk's full 2025 Q4 Tesla call remarks with 3 flawless no-touch Tesla self-driving (FSD) rides

🎥 Jan 28, 2026 📺 E ⏱ 50m
I've removed silence, hesitations, and stutters, cleaned up the audio and the AI transcript slop, and translated to multiple ...
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About Elon Musk

Elon Musk recently oversaw SpaceX’s public listing on the Nasdaq on June 12, 2026, which he said was the largest initial public offering in the history of capital markets. During the event, Musk stated that he had originally given SpaceX “less than a 10% chance of succeeding at all” and recalled telling people, “Look, we’re probably going to fail, but you know, we should give it a try because if we don’t… we will never be a truly spacefaring civilization.” He described SpaceX’s mission as “to take the fiction out of science fiction” and said the company aims to make humanity multi-planetary, adding, “We want to be able to take anyone who wants to go to the moon, anyone who wants to go to Mars… not just a few astronauts.” The IPO was widely reported to have made Musk the world’s first trillionaire. In addition to the IPO, Musk discussed SpaceX’s plans to build AI satellites and space-based data centers. In an interview with SpaceX employees in Bastrop, Texas, he said that the company’s AI satellite is “actually much simpler than a Starlink satellite” and noted that the current reference design calls for Nvidia Rubin chips. He also spoke about a “terrafab” facility that he said would be approximately 100 million square feet, roughly 10 times the size of Tesla’s Gigafactory Texas, and discussed using a mass driver on the moon to launch materials into deep space. Separately, Musk oversaw the final delivery of Tesla’s Model S and Model X vehicles, which he called a “bittersweet moment,” emphasizing that those cars “showed that an electric car could actually be the best car of any period.”

Source: AI-verified profile updated from Elon Musk's recent appearances. Browse all interviews →

Transcript (48 segments)
✨ AI-enhanced transcript with speaker attribution
T
Travis Axrod0:02
Good afternoon everyone and welcome to Tesla's fourth quarter 2025 Q&A webcast. My name is Travis Axrod, head of investor relations and I'm joined today by Elon Musk and a number of other executives. Before we jump into Q&A, Elon has some opening remarks. Elon.
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Elon Musk0:19
Thanks Travis. So we've updated the Tesla mission to amazing abundance. This is intended to send a message of optimism about the future. I think we're most likely headed to an exciting, amazing era of abundance. With the continued growth of AI and robotics, I think we actually are headed to a future of universal high income. Not universal basic income, but universal high income. There's going to be a lot of change along the way, but that is what I see as the most likely outcome. So I think it makes sense to update Tesla's mission to reflect that goal. Along that way, we're going to keep improving safety, driving down the cost of goods, and getting people access to anything they need without compromise. Still making sure that the environment is great, nature is great, and people can have whatever they want, which seems like probably the best future. I'm open to other ideas, but if you could say what is the best future you could possibly imagine, I guess it would be that everyone can have whatever they want, including amazing medical care, and we still keep the beauty of nature and Earth. I think that's probably the best outcome. We're seeing the first steps along that way this year for Tesla, first major steps as we increase vehicle autonomy and begin to produce Optimus robots at scale. We're making very, very big investments. So this is going to be a very big capex year, as Vaibhav will get into. That is deliberate because we're making big investments for an epic future. I think all these investments make a lot of sense. We'll continue to make sure that when we do spend capital, it is spent very efficiently. Major investments in batteries and the entire supply chain for batteries. We're also going to be significant manufacturers of solar cells, and we're making massive investments in AI chips. I think these all make a ton of strategic sense. It's time to basically bring the Model S and X programs to an end with an honorable discharge, because we're really moving into a future that is based on autonomy. If you're interested in buying a Model S next, now would be the time to order it. We expect to wind down S and X production next quarter and basically stop production of Model S next quarter. We'll obviously continue to support the Model S and X programs for as long as people have the vehicles. We're going to take the Model S and X production space in our Fremont factory and convert that into an Optimus factory, with the long-term goal of having a million units a year of Optimus robots in the current S and X space in Fremont. It's slightly sad, but it is time to bring the S and X programs to an end and shift to an autonomous future. As my profile picture on X said for a few months there, the future is autonomous. With respect to full self-driving and robo taxi, people are following with very close attention the progress of FSD. You can experience it for yourself if you've got a Tesla. With every software update, the car gets better and better at autonomy. We were able to do our first rides with no safety monitor in the car in Austin. These were paid rides. I just sort of randomly selected paid rides with no safety monitor. As of maybe yesterday, we don't even have a chase car or anything like that. These are just cars with no people in them and no one's following the car in Austin. We are being very cautious because we want to have no injuries or serious accidents along the way. I think it makes sense to be very cautious, but you'll see the amount of autonomy increase dramatically every month. There will also be an opportunity for existing owners of Teslas to add or subtract their cars to the fleet, kind of like how Airbnb works where you can add or subtract your house to the Airbnb inventory. I think the value of people adding or subtracting their cars to the Tesla autonomous fleet is probably a little underappreciated by a lot of people, because we've got millions of cars with AI4 that can do this. It might provide an opportunity for a lot of customers to earn more by lending their car to the fleet than their lease cost to Tesla. In that scenario, you basically get paid to own a Tesla. It's quite a good scenario. We expect to have fully autonomous vehicles in probably somewhere between a quarter and half of the United States by the end of the year, pending regulatory approval. A big factor would be if there's some kind of federal preemption for autonomous vehicles. In the absence of that, you have to go on a city by city or state by state basis. Even if it is city by city, state by state, we expect to be in dozens of major cities by the end of the year. With respect to energy, the Tesla energy team has done incredible work. The growth rate is continuing to be very strong, and we're building more manufacturing capacity. Energy will have very high growth for as far into the future as we can imagine. The solar opportunity is underestimated. We think the best way to add significant capability to the grid, or powering AI data centers, is solar and batteries on Earth and solar in space. That's why we're going to work towards getting 100 gigawatts a year of solar cell production, integrating across the entire supply chain from raw materials all the way to finished solar panels. Maybe a bit more about Optimus. We'll probably unveil Optimus 3 in a few months. I think it's going to be quite surprising to people. It is an incredibly capable robot. As I mentioned, we are replacing the S and X line in Fremont with a million unit per year line of Optimus. Because it is a completely new supply chain, there's really nothing from the existing supply chain that exists in Optimus. Everything is designed from physics first principles. That means the normal S-curve of manufacturing ramp will be longer for Optimus than for products that have at least some portion of an existing supply chain. When everything's new, the production rate will be proportionate to the least lucky, least confident part of the entire supply chain. If there are 10,000 things that need to go right, it only takes one to lag. It will be a stretched out S-curve. I'm confident that we'll get to a million units a year in Fremont of Optimus 3. This Optimus really will be a general purpose robot that can learn by observing human behavior. You can demonstrate a task, literally verbally describe a task, show it a task, or even show it a video, and it will be able to do that task. It's going to be a very capable robot. I think long-term, Optimus will have a very significant impact on US GDP. It will actually move the needle on US GDP significantly. In conclusion, there are still many who doubt our ambitions for creating amazing abundance, but we're confident it can be done and that we're making the right moves technologically to ensure that it does. Tesla has never been a company to shy away from solving some of the hardest problems. I think that's how you build value in a company, by solving hard problems. I don't know how you create value by solving easy problems. There are a lot of hard problems that the Tesla team is going to solve. It's an incredibly talented, hardworking team. I'd like to thank everyone at Tesla for their incredible hard work. It's an honor to work with such a talented group. Thank you to everyone who is supporting this mission. The future is more exciting than you can imagine.
T
Travis Axrod12:33
Now we're going to head over to investor questions. As always, we will start with questions from Say.com. The first question is: today there are approximately 90 million cars sold globally each year. Does Tesla have a view based on its robo taxi ambition what this number will be in 5 or 10 years and how does this impact Tesla's EV strategy to have more models?
L
Lars Moravy12:57
Yeah, thanks Travis. As Elon said, the future is autonomous and obviously autonomy and Cybercab are going to change the global market size and mix quite significantly. I think that's quite obvious. General transportation is going to be better served by autonomy as it will be safer and cheaper. Over 90% of vehicle miles traveled are with two or less passengers now, which is why we designed Cybercab that way. In this new autonomous market, we at Tesla have the advantage of efficiency, cost, and manufacturing at scale that really no one else has. We've built that over the last decades and we believe that that segment that we are creating will grow a million year over year.
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Elon Musk13:31
Just to add to what Lars said, the point that Lars made which is that 90% of miles driven are with one or two occupants is a very important one. That implies that the Cybercab, which is a dedicated two-seater or dedicated robo taxi, is the right approach. It's a little confusing with the terms robo taxi and Cybercab. Sorry about the confusion. In some states we're not allowed to use the word cab or taxi, so it's going to get even more strange. It's going to be like Cyber Vehicle or something, Cyber Car. But the Cybercab, which is a specific vehicle model that we're making, does not have a steering wheel or pedals. There's no fallback mechanism here. This car either drives itself or it does not drive. We expect to start production in April. As always, the production rate is an S-curve. It starts off very slowly and then grows exponentially, then you hit the linear and ultimately your target volume. We would expect over time to make far more Cybercabs than all of our other vehicles combined, given that 90% of distance traveled is with one or two people. I think it's like 80% is just one. Long-term, Cybercab would make several times more Cybercabs per year than all of our other vehicles combined.
T
Travis Axrod15:34
Great. Thank you so much. The next question, a bit related: are there still plans to launch new models to address different price segments and vehicle types which could materially expand the TAM for Tesla?
L
Lars Moravy15:49
Yeah. To further on what we were just talking about, we've launched our least expensive models ever over the last few months and are continuing to expand those models globally. Over the last decade, we have continually brought down the cost of our vehicles without sacrificing range, performance, or premiumness. We'll continue to do that as Vaibhav said, investing in our factories. But these are all trade-offs of where we spend our time or money. To Elon's point just now with Cybercab coming, we are aiming to bring that Tesla premium ride experience to our largest market yet. That could be five or ten times our current levels of production. In this new autonomous market, you have to start thinking about us as moving to providing transportation as a service more than the total addressable market for purchased vehicles alone. Of course, we do have plans to have robo taxis in various shapes and sizes, but obviously Cybercab will be the grand majority of that volume.
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Elon Musk16:38
Yeah, the vast majority of miles traveled will be autonomous in the future. I would say probably less than 5% of miles driven will be where somebody's actually driving the car themselves. In the future, it may be as low as 1%.
T
Travis Axrod16:56
Great. The next question is: historically Tesla has spoken about gross margin per model. Are there standalone gross margin targets for the current models excluding the benefits from FSD sales?
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Vaibhav Taneja17:09
You know, we've talked about this with the previous two questions, but transportation as we know is changing and I think we cannot keep applying the same framework from a car sales model to the future what we are trying to do. So it has to be looked at more holistically. Autonomy software will be the driver for growth from now on. As we aim to maximize the global fleet, we've been laser focused on COGS from our side to make sure, because that is something which we manage. So we will keep focusing on that, but I think we need to look at it from a different dimension.
E
Elon Musk17:48
Yeah, the whole design of Cybercab was to optimize the fully considered cost per mile of autonomous driving. It's a different design problem than if you're trying to design cars for people who will be driving versus being driven. Cybercab is super optimized for minimum cost per mile and also for a much higher duty cycle. It would expect Cybercab to be used probably 50 or 60 hours a week instead of the 10 or 11 hours a week that a driven vehicle is used. Typically people might drive their car for an hour and a half a day on average, so about 10 hours per week out of 168. An autonomous vehicle is likely to be used probably five times as often, which means you need to design the vehicle for much more wear and tear per unit time and much more resilience. It's more like a commercial truck, in continuous operation or close to continuous operation. That's how you design an autonomous vehicle. We will have large vehicles in the Cybercab in the future that are designed for full autonomy. We've actually shown pictures of this and have shown prototypes. This is not exactly a secret. We've given people rides in them. We're not keeping this hidden. We're literally saying what we're going to do and have said what we're going to do for a while. The only vehicles that we'll make will be autonomous vehicles, with the exception of the next generation Roadster which we're hoping to debut in April hopefully. It's going to be something out of this world. Fantastic.
T
Travis Axrod20:08
What is the current bottleneck to increased robo taxi deployment and personal use unsupervised FSD? Is it the safety and performance of the most recent models or is it people to monitor the robo taxis in car or remotely, or is there some other blocker? I don't know, Ashok, if you want to kick off on this one.
A
Ashok Elluswamy20:29
Yeah, we have scaled the robo taxi service that's available to customers over the last year in order to learn the scaling problems without having to wait for the unsupervised. Basically two goals. One is to learn as much as possible from the fleet with the safety monitors, and secondly we are laser focused with the engineering team to solve the unsupervised FSD problem. I think we did both by the end of last year. We had a long tail of issues that we were able to churn through, and then in the last couple of weeks we started our unsupervised robo taxi service to public customers in Austin. Some customers took rides last week and also the service continues today without any chase car or something like that. Separately, we did scale the fleet size in the Bay Area and in Austin, and through that we learned issues with charging and other issues that we would have seen once we scale the unsupervised fleet. Both are happening in parallel. A variant of the software that's used for the robo taxi service was shipped to customers with V14, and customers saw a huge jump in performance. A lot of happy feedback from customers. Since then, we have improved the software significantly as well, and customers will continue to see with their own software releases that the software is so good that they're screaming to remove the driver monitoring software because they're bored inside the car too much.
L
Lars Moravy21:58
Adding to that a little bit with what Ashok said about learning about our charging and service needs. We're using our vast network of charging and service centers that really only Tesla has in this space to jump start our infrastructure buildout needs to get ahead of robo taxi autonomous vehicle demand. We expect that because of this network, we are the only company capable of scaling at the rate that is needed for the tsunami of autonomy that is coming.
T
Travis Axrod22:21
Yeah, great. Moving on to the next question. After the unveil of the Cybertruck, Elon stated that if it didn't sell well, Tesla would build a more conventional looking pickup. How practical would it be to create this new design on the Cybertruck architecture and could it be conveniently built on the existing production lines?
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Lars Moravy22:41
Actually, in its segment, Cybertruck continues to be a leader and is selling more than any other electric truck out there while our competition continues to pull back. But to the question itself, from a line standpoint, we always design our lines to be super flexible. We built 3 and Y on the same line. We built S and X on the same line still, showing that we can do that. The Cybertruck line was designed in the same way and is one of our most fully ready for autonomy platforms.
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Elon Musk23:06
Yeah, we will transition the Cybertruck line to just a fully autonomous line. There's obviously a market there for cargo delivery, like localized cargo delivery within a city within a few hundred miles. There's a lot of cargo that needs to move locally within a city, and an autonomous Cybertruck could be very useful for that.
T
Travis Axrod23:31
Great. Moving on to the next question. Regarding Optimus, could you share the current number of units deployed in Tesla factories and actively performing production tasks? What specific roles or operations are they handling and how has their integration impacted factory efficiency or output?
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Elon Musk23:47
We're still very much at the early stages of Optimus. It's still in the R&D phase. We have had Optimus do some basic tasks in the factory. But as we iterate on new versions of Optimus, we deprecate the old versions. It's not in usage in our factories in a material way. It's more so that the robot can learn. We wouldn't expect to have any kind of significant Optimus production volume until probably the end of this year.
A
Ashok Elluswamy24:34
Great. Optimus Gen 3 is an awesome robot that is awesome.
E
Elon Musk24:39
Yeah, it's an awesome robot that minimizes any differences. It basically looks like a human. People could be easily confused that it's a human. This helps our strategy for the AI too because you can learn from how humans do these tasks. It's very easy to teach the robot to do in the same way as opposed to previous robots.
V
Vaibhav Taneja24:59
Yeah, I guess one thing I should say is there's a lot of news of various companies announcing layoffs and whatnot. But at our Tesla factory in Fremont, we actually expect to increase headcount over time and to significantly increase output from our factories. We don't have any layoff plans. We expect to actually increase headcount.
T
Travis Axrod25:27
Great. The next question, similar to the other autonomy questions but slightly different. When is FSD going to be 100% unsupervised?
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Elon Musk25:38
We obviously have cars operating with no one in them and no safety monitor and no follow car or anything like that in Austin right now. For customers, we're being just very cautious with the rollout. With each successive version, as we prove it out, we make sure that there are no sort of unique issues in particular cities. Sometimes you get some very difficult intersection, and it'll be an intersection where a lot of humans have accidents by the way. There are some pretty nutty intersections where a lot of humans make mistakes and have accidents in various cities. We want to make sure that FSD can handle those unusual intersections. If you take LA for example, where Wilshire and Santa Monica combined, there are about 20 traffic lights and people are constantly having accidents there. You want to make sure that FSD can handle unique things in a particular city. We're also just being paranoid about safety. With each successive release of FSD, we will reduce the amount of driver monitoring that's needed proportionate to the safety of the FSD build.
T
Travis Axrod27:04
Great. As it relates to robo taxi, what has surprised you about the rollout so far? We've talked about what's constrained the fleet expansion to date, but it appears there are 200 vehicles based on public tracking. Is that something that we can confirm? Robo taxi vehicles carrying paid customers.
A
Ashok Elluswamy27:24
I think we're well over 500 at this point between the Bay Area and Austin.
Yeah, there are varying amounts of vehicles depending on the load, but you can have more vehicles during peak times and fewer vehicles in the off hours.
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Elon Musk27:39
Yeah. This will probably double every month type of thing. It's on an exponential curve.
L
Lars Moravy27:47
One other thing people forget is that we've been deliberate on all this in the sense that we have the supporting infrastructure already in place, whether it's service centers or charging. Yes, we'll have to augment as the fleet grows depending upon the density of where the demand is and whatnot. But it's not something we just stumbled upon. We've been at it for years. Not every city is designed the same way. Our infrastructure is also not the same in every city. But you have to give us credit that it's been a journey, and as Lars said, if there's some company which can do it, we've already been at it. So we should be able to deliver much better.
T
Travis Axrod28:33
Elon, you've been spending significant personal time on Tesla's chip design.
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Elon Musk28:39
Yeah.
T
Travis Axrod28:39
What was the forcing function behind this increased involvement? And do you think external chip sales will represent a significant portion of Tesla's valuation by the end of the decade?
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Elon Musk28:49
Well, I tend to spend time on whatever the most critical issue is for the company. Completing the AI5 chip design and having it be a great chip is arguably the number one most critical thing to get done, which is why I'm spending more time on that than currently anything else at Tesla. I've spent pretty much every Saturday on this and a chunk of every Tuesday. If I'm spending my Saturdays on something, it's going to be something pretty important. I do think AI5 will be a very good chip. I feel quite confident about the design at this point. AI6, which will follow that, aspirationally in under a year, will be yet another big leap beyond AI5. I feel pretty good about our chip strategy right now. But in terms of selling it outside of Tesla, we first need to make sure we have enough chips for all of our vehicle production and all of our Optimus production. We will actually use the AI5 chips in our data centers. We already use the AI4 chips in our data center. When we do training, it's a combination of the AI4 chips and NVIDIA hardware primarily. By the end of the decade, things are changing so fast that it's hard to imagine what happens. When I look ahead at what's the limiting factor for Tesla growth, if you go say 3 or 4 years out, I think it actually is chip production. Is there enough AI logic and enough memory, enough RAM for our volume? Right now I see that as the thing that probably limits our growth in 3 or 4 years, which implies that we're not selling chips outside of Tesla because we need them. I think it's going to make sense, and this is definitely going to be sort of a controversial thing, but I think Tesla needs to build a terafab. I mentioned this at the shareholder meeting. When we look at the output of the best case output of all of our key suppliers, and I would say even beyond suppliers are strategic partners like Samsung, TSMC, and Micron, and we say what's the most you could possibly make, then it's not enough. In order to remove the constraint, the probable constraint in 3 or 4 years, we're going to have to build a Tesla terafab, a very big fab that includes logic, memory, and packaging domestically. That's also going to be very important to ensure that we are protected against any geopolitical risks. I think people may be underweighting some of the geopolitical risks that are going to be a major factor in a few years. A lot of people will say that's crazy, fabs are really hard. I'm like, yes, I know fabs are really hard. I don't think they're easy. But we do a lot of hard things. We didn't used to have car factories, battery cell factories, lithium refineries, Megapack factories, or all these other things. We figured it out. If we don't do the Tesla terafab, we're going to be limited by supplier output of chips. I think maybe memory is an even bigger limiter than AI logic. For example, we have chip supply deals with TSMC in Arizona and Samsung in Texas. But currently there are no advanced memory fabs at scale in the United States. They're zero. Literally zero. Hopefully Micron will have something going in a few years because they are headquartered in Idaho, where they make a lot of potato chips, and we need to make computer chips too. We're working with our strategic partners on the chip front, memory and logic. I think we also got to try our hand at building a large scale fab that integrates logic, memory, and packaging. If we don't do that, we're just going to be fundamentally limited by supply chain. Especially if there's a worst case geopolitical situation, it would be quite a severe situation. I think it would be quite frankly crazy not to try the terafab. We'll have a bigger announcement on this in the future.
T
Travis Axrod34:36
Awesome. With that, we're going to move on to analyst questions. The first analyst is Emanuel from Wolfe Research. Emanuel, please feel free to unmute yourself.
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Emanuel Rosner34:48
Great. Thank you so much. It's Emanuel Rosner from Wolfe Research. My first question is on the capex. You signal a pretty large increase to over $20 billion for this year. Was hoping to better understand where the investments are going. Any way to dimension for us which of the product line or technologies account for the bulk of the increase? Also, do you view this as one time in nature 2026, or how much of this is an ongoing level of high spending for a number of years? And then just finally, with that level of spending, you're going to be burning cash. How should we think about cash balance or any other way to finance this?
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Vaibhav Taneja35:32
Yeah. So, Emanuel, I tried to put this in my opening remarks too, but I'll try and go a little bit deeper. There are about six factories which we are starting production in this year. So there's a lot of cash capex going into that. Then, as we are trying to scale Optimus, we need a lot more compute. So we're putting more money towards compute as well. And then for training, we're also going to be spending money to expand the capacity at existing factories. On top of it, keep in mind that none of these numbers which I shared of $20 billion factors in anything to do with the solar fab or the semiconductor chip fab. Those would come later on as Elon mentioned. Your second part of the question was is this one-off or would we expect more? I think we're getting into this investment phase because we have big aspirations. When you look at it, some of these aspirations are what I call infrastructure plays, especially if you have to do a chip fab and we have to do a solar cell manufacturing fab. Those are infrastructure plays, and that funding takes a little bit longer, and you would be in an investment cycle for a little bit longer. The third part of your question was how are we going to fund it? Initially, we have over $44 billion of cash and investments on the books. So we'll use our internal resources. But there are ways where we can fund it, especially when we look at the robo taxi fleet. Anytime you have a consistent stream of cash flow, you can go and get money from the banks. We have had conversations with banks about it, and that is something how we're going to do it. On the infrastructure play side, we don't have a number yet, but given that it's an infrastructure play with a longer tail, we will have to look a little bit more in terms of how we fund it, whether it's through more debt or other means.
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Travis Axrod38:14
Great. Our next question comes from Andrew from Morgan Stanley. Andrew, please feel free to unmute yourself.
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Andrew38:20
Great. Thanks so much for taking the question. I just want to start on the xAI investment that you guys announced today. You talked about there being some collaboration between the companies. I'm just hoping to get more information or if you're hoping that you could shed more light on what that looks like and maybe how the work xAI is doing can be leveraged at Tesla and vice versa.
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Vaibhav Taneja38:46
Yeah, if you looked at the disclosure which we also put in there, we do talk about this is literally a furtherance of our master plan 4. Even today, if you look at Tesla vehicles, we are using Grok in there. As we look at things, whether we can do it ourselves, yes, there are a lot of things which we can do ourselves. But if there are things which xAI can help accelerate our progress, then why should we not do that? That is the reason why we've gone ahead with such an investment, because this is part of the strategic initiative. As it is, if you remember, I talked about how many things which we're doing ourselves. If there are ways and means we can find efficient ways for others to help us, and xAI literally fits into that mold. So that's why we went ahead with it.
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Elon Musk39:46
And we just had a lot of investors ask us to do this. The Tesla shareholders said we should invest in xAI. So we're just doing what shareholders asked us to do pretty much. But Grok will be very helpful in maximizing the efficiency of the management of a large autonomous fleet. If you've got an autonomous fleet that's in the future 10 million vehicles or tens of millions of vehicles, then optimizing the efficient use of that fleet, Grok will be way better than any heuristic solution or manually managed solution. If you're managing a large team of Optimus robots to build a factory or a refinery, say a rare earth refinery which we do desperately need in America, then who is going to organize the Optimus robots to build that refinery? You need an orchestra conductor. Grok would be the orchestra conductor for the Optimus robots to build, hypothetically, a refinery. It might not be hypothetical in the future. I'm just saying it's not currently on our plans, but we do need a lot more refining capacity in the US. So then what's going to manage a thousand Optimus robots?
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Travis Axrod41:29
Ready? We're going to move on to the next question which is coming from Dan Levy at Barclays.
D
Dan Levy41:35
Great. Thank you. Elon, you talked about some of the constraints on memory. Given the very tight supply, are there any near-term constraints on procuring memory? And if there are, to what extent could you look at modifying the functionality in the vehicles similar to what you did in '21 when we saw shortages on MCUs, and maybe how are you thinking about bridging in the next few years?
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Elon Musk42:02
Well, Tesla AI is very compute efficient and very memory efficient. I think one of the metrics to consider for any given AI model is the intelligence per gigabyte. Especially when you're constrained on RAM, having an AI that has very high intelligence density per gigabyte is key. For a given number of gigabytes, how much functionality can you get out of it? I actually think Tesla is ahead of the rest of the world in intelligence density of AI by an order of magnitude or more. This is going to sound like a pretty bold statement, but I kind of know what the intelligence efficiency of the big models are like Grok and the others. Tesla's AI is more than an order of magnitude better in memory efficiency. That puts us in a pretty good position for scaling. We do have a solution for logic and memory for the next roughly 3 years. But if you start going beyond 3 years and we look at the scaling plans and how many fabs are getting built, especially if you factor in geopolitical uncertainty, there's always risk that those chips don't arrive that people were expecting to arrive. That's why I think we need to have more fab capacity in the US just in case chips don't stop arriving for any reason. This is really existential for Tesla because Optimus is completely useless without an AI chip. At least the cars we can put steering wheels and pedals in or retrofit them if need be. But Optimus is just a mannequin without a chip. It's like the Tin Man from The Wizard of Oz, but even worse. At least the Tin Man could walk. Optimus won't even be able to move. It would just sit there without an AI. We've got a good solution for a significant scale through the next roughly 3 years. Beyond that, we will be supplier limited. We've got to figure out some game plan to not be supplier limited.
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Travis Axrod44:36
Great. Our next question is going to come from George I can accord. George, please feel free to unmute yourself.
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George44:42
Hi everyone. Thank you for taking my question. So, there's been a surge of startups particularly from China entering the humanoid market. I'm wondering what the long-term competitive advantages that keep Tesla ahead are, and based on what you've seen, how will Optimus fundamentally differ from these competitors. Thank you.
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Elon Musk45:04
Well, I do think that by far the biggest competition for humanoid robots will be from China. China is incredibly good at scaling manufacturing. Actually quite good at AI, as you can see from the open source models that China's distributing for free. They are actually quite good and keep getting better. China's very good at AI, very good at manufacturing, and will definitely be the toughest competition for Tesla. To the best of our knowledge, we don't see any significant competitors outside of China. But China will definitely be tough competition. There's no two ways about it. I always think people outside of China kind of underestimate China. China's next level. We think Optimus will be much more capable than any robot that we are aware of under development in China. We think we'll be ahead in terms of real world intelligence, electromechanical dexterity, especially the hand design which is by far the hardest thing in the robot. There are really three hard things about humanoid robots: building an incredible hand that has the same degrees of freedom and dexterity as a human hand is an incredibly difficult engineering challenge; real world AI; and scaling production. Those are the three hardest problems by far for humanoid robots. I think Tesla is the only company that actually has all three of those components.
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Travis Axrod47:13
Great. And our last question is going to come from Colin at Oppenheimer. Colin, please feel free to unmute yourself.
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Colin47:20
Guys, you talked a lot about the capex spend, but this is incredibly ambitious technology development program that you're talking about. Can you talk a little bit about the R&D spend and how you're thinking about the synergies of the different components, particularly on the hardware side? If you think about batteries into chips into memory and the efficiency of the system, what sort of advantages do you think you'll end up getting out of some of these purpose-built devices that you'll end up integrating into multiple end markets?