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

Tesla Inc ($TSLA) Q2 2024 Earnings Call

🎥 Jul 23, 2024 📺 Castify Earnings Call ⏱ 59m
TSLA - Earnings call Q2 2024.
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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 (81 segments)
✨ AI-enhanced transcript with speaker attribution
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Travis Axelrod0:00
Good afternoon, everyone, and welcome to Tesla's second quarter 2024 Q&A webcast. My name is Travis Axelrod, head of investor relations, and I'm joined today by Elon Musk, Vaibhav Taneja, and a number of other executives. Our Q2 results were announced at about 3:00 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 or results could differ materially due to a number of risks and uncertainties, including those mentioned in our most recent filings with the SEC. 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?
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Elon Musk0:51
Thank you. So, to recap, we saw a large adoption acceleration in EVs, and then a bit of a hangover as others struggled to make compelling EVs. So, there have been quite a few competing electric vehicles that have entered the market, and mostly they have not done well, but they have discounted their EVs mostly financially, which has made it a bit more difficult for Tesla. We don't see this as a long-term issue, but really as fairly short-term. And we still obviously firmly believe that EVs are best for customers and that the world is headed for a fully electrified transport, not just the cars, but also aircraft and boats. Despite many challenges, the Tesla team did a great job executing, and we did achieve record quarterly revenues. Energy storage deployments reached an all-time high in Q2, leading to record profits for the energy business. And we're investing in many future projects including AI training and inference and infrastructure to support future products. We won't get too much into the product roadmap here because that is reserved for product announcement events. But we are in fact going to deliver a more affordable model in the first half of next year. The really the far the biggest differentiator for Tesla is autonomy. In addition to that, we have scale economies and we're the most efficient electric vehicle producer in the world. So, while others are pursuing different parts of the AI robotic stack, we're pursuing all of them. This allows for better cost control, more scale, quicker time to market, and a superior product. Applying not just to autonomous vehicles but to autonomous humanoid robots like Optimus. Regarding full self-driving and robotaxi, we've made a lot of progress with full self-driving in Q2 and with version 12.5 beginning rollout, we think customers will experience a step change improvements in how well supervised full self-driving works. Version 12.5 has five times the parameters of 4.4 and will finally merge the highway and city stacks. So the highway stack is still at this point pretty old. So often the issues people encounter are on highway, but with 12.5 we're finally merging the two stacks. I still find that most people don't know how good this system is and I would encourage anyone to understand the system better to simply try it out. Let the car drive you around. One of the things we're going to be doing just to make sure people actually understand the capabilities of the car is when delivering a new car and when picking up a car for service to just show people how to use it and just drive them around the block. Once people use it at all, they tend to continue using it. So, it's very compelling. And then this I think will be a massive demand driver even unsupervised full self-driving will be a massive demand driver. And as we increase the miles between intervention, it will transition from supervised full self-driving to unsupervised full self-driving and we can unlock massive potential in V3. We postponed the sort of robotaxi or the sort of product unveil by a couple months where it's shifted to 10/10, so the 10th of October. And this is because I wanted to make some important changes that I think would improve the vehicle, the robotaxi, the main thing that we're going to show and we're also going to show off a couple of other things. So moving back a few months allowed us to improve the robotaxi as well as add in a couple other things for the product unveil. We're also nearing completion of the south expansion of the Gigafactory in Texas, which will house our largest training cluster to date. This will be an incremental 50,000 H100s plus 20,000 of our hardware 4 or AI 5 Tesla AI computer. With Optimus, Optimus is already performing tasks in our factory. And we expect to have Optimus production version one in limited production starting early next year. This will be for Tesla consumption. It's just better for us to iron out the issues ourselves. But we expect to have several thousand Optimus robots produced and doing useful things by the end of next year in the Tesla factories. And then in 2026, ramping up production quite a bit and at that point we'll be providing Optimus robots to outside customers. They'll be production version two of Optimus. For the energy business, this is growing faster than anything else. We are really demand constrained rather than production constrained. So, we're ramping up production in our US factory as well as building the Megapack factory in China. That should roughly double our output. Maybe more than double our output. Maybe triple potentially. So, in conclusion, we're super excited about the progress across the board. We're changing the energy system, how people move around, and how people approach economy. The undertaking is massive, but I think the future is incredibly bright. Yeah, I really just can't emphasize just the importance of autonomy for the vehicle side and for Optimus. All of the numbers sound crazy. I think Tesla producing at volume with unsupervised FSD, essentially enabling the fleet to operate like a giant autonomous fleet, and it takes the valuation, I think, to some pretty crazy number. ARK Invest thinks on the order of $5 trillion. I think they're probably not wrong. And long-term Optimus, I think, achieves a valuation several times that number. I want to thank the Tesla team for strong execution, and looking forward to exciting new things.
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Travis Axelrod8:47
Great. Thank you very much, Elon. And Zach has some opening remarks as well.
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Vaibhav Taneja8:50
Thanks, Elon. As Elon mentioned, the Tesla team rose to the occasion yet again, and delivered on all fronts with some notable records. In addition to those records, we saw automotive deliveries grow sequentially. I would like to thank the entire Tesla team for their efforts in delivering a great quarter. On the auto business front, affordability remains at top of mind for customers, and in response in Q2, we offered attractive financing options to offset sustained high interest rates. These programs had an impact on revenue per unit in the quarter. These impacts will persist into Q3 as we have already launched similar programs. We're now offering extremely competitive financing rates in most parts of the world. This is the best time to buy a Tesla. I mean, if you're waiting on the sidelines, come out and get your car. We had a record quarter on regulatory credits revenue and as well on net our auto margins remained flat sequentially. It's important to note that the demand for regulatory credits is dependent on other OEMs plans for the kind of vehicles they're manufacturing and selling as well as changes in regulations. We pride ourselves to be the company with the most American-made cars and are continuing our journey to further localize our supply chain, not just in the US, but in Europe and China as well for the respective factories. As always, our focus is on providing the most compelling products at a reasonable price. We have stepped up our efforts to provide more trims that have estimated range of more than 300 miles on a single charge. We believe this, along with the expansion of our supercharging network, is the right strategy to combat range anxiety. Since the revision of FSD pricing in North America, we've seen adoption rates increase meaningfully and expect this to be a driver of vehicle sales as the feature set improves further. Cost per vehicle declined sequentially when we remove the impact of Cybertruck. While we are experiencing material cost trending down, note that there is latency on the cost side and such reductions will show up in the P&L when the vehicles built with these materials get delivered. Additionally, as we get into the second half of the year, it is important to note that we're still ramping Cybertruck and Model 3 and are also getting impacted by varying amounts of tariffs on both raw materials and finished goods. While our teams are working feverishly to offset these, unfortunately, it may have an impact on the cost in the near term. We previously talked about the potential of the energy business and I feel excited that the foundation that was laid over time is bearing the expected results. Energy storage deployments more than doubled with contribution not just from Megapack but also Powerwall. Resulting in record revenues and profit for the energy business. Our energy storage backlog is strong. As discussed before, deployments will fluctuate from period to period with some quarters seeing large increases and others seeing a decline. Recognition of storage revenue is dependent on a variety of factors including logistics timing as we send units from a single factory to markets across the world, customer readiness and in case of EPC projects on the construction activities. Moving on to the other parts of the business, service and other gross profits also improved sequentially from the improvement in service utilization and growth in our collision repair business. Impact of our recent reorg is reflected in restructuring other on the income statement. Just to level set, this was about $642 million of charge which got recorded in the period. And I want people to remember that we called it out separately on the financials. Sequentially, our operating expenses excluding such charges reduced despite an increase in spend for AI related activities and high legal and other costs. On the CapEx front, while we saw a sequential decline in Q2, we still expect the year to be over 10 billion in CapEx as we increase our spend to bring a 50k GPU cluster online. This new cluster will immensely increase our capabilities to scale FSD and other AI initiatives. We reverted to positive free cash flow of 1.3 billion in Q2. This was despite restructuring payments being made in the quarter, and we ended the quarter with over 30 billion of cash and investments. Once again, we've begun the journey towards the next phase for the company with the building blocks being placed. It will take some time, but it will be a rewarding experience for everyone involved. Once again, I would like to thank the entire Tesla team for their efforts.
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Travis Axelrod13:52
Great. Thank you very much, Vaibhav. Now, let's go to investor questions. The first question is what is the status on the Roadster?
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Elon Musk14:01
With respect to the Roadster, we've completed most of the engineering. And I think there's still some upgrades we want to make to it, but we expect to be in production with Roadster next year.
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Travis Axelrod14:17
Great. It'll be something special. Like a little thing right here. Fantastic. The next question is about timing of Robo-taxi event, which we've already covered. So, we'll go to the next question. When do you expect the first Robo-taxi ride?
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Elon Musk14:35
I guess that's really just a question of when do I expect the first, when can we do unsupervised full self-driving? It's difficult. Obviously, my predictions on this have been overly optimistic in the past. So, I mean, based on the current trend, it seems as though we should get miles between interventions be high enough that it should require enough of a success of humans that you could do unsupervised possibly by the end of this year. I would be shocked if we cannot do it next year. So, next year seems highly probable to me based on the points of the curve of miles between intervention that trend exceeds humans for sure next year. So, yeah.
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Travis Axelrod15:39
Thank you very much. Our third question is the Cybertruck is an iconic product that wows everyone who sees it. Do you have plans to expand the cyber vehicle lineup to a cyber SUV or cyber van?
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Elon Musk15:51
I think we want to limit product announcements to when we have a specific product announcement event rather than earnings calls.
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Travis Axelrod16:01
Great. Thank you. Our next question is what is the current status of 4680 battery cell production and how is the ramp up progressing?
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Vaibhav Taneja16:10
4680 production ramped strongly in Q2, delivering 51% more cells than Q1 while reducing costs significantly. We currently produce more than 1,400 Cybertrucks on 4680 cells a week and will continue to ramp output as we drive costs down further towards the cost parity target we set before the end of the year. We built our first validation Cybertruck with dry cathode process, made on mass production equipment, which is a huge technical milestone and we're super proud of that. We're on track for production launch with dry cathode in Q4 and this will enable cell costs to be significantly below available alternatives, which was the original goal of the 4680 program.
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Travis Axelrod16:52
Great. Thank you very much. The next question is any update on Dojo?
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Elon Musk17:00
Yeah, so Dojo. I should preface this by saying I'm incredibly impressed by Nvidia's execution and the capability of their hardware. And what we are seeing is that the demand for Nvidia hardware is so high that it's often difficult to get the GPUs. And I guess I'm quite concerned about actually being able to get steady Nvidia GPUs when we want them. And I think this therefore requires that we put a lot more effort on Dojo in order to ensure that we've got the training capability that we need. So we are going to double down on Dojo. And we do see a path to being competitive with Nvidia with Dojo. And I think we kind of have no choice because the demand for Nvidia is so high and it's obviously their obligation essentially to raise the price of GPUs to whatever the market will bear, which is very high. So I think we've really got to make Dojo work and we will.
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Travis Axelrod18:30
Right. The next question is, what type of accessories will be offered with Optimus?
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Elon Musk18:40
Optimus is a generalized humanoid robot with a lot of intelligence. So it's like saying what kind of accessories would be offered with a human? It's just really designed to be able to be backwards compatible with human tasks. So it would use any accessories that a human would use.
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Travis Axelrod19:08
Thank you. The next question is, do you feel you're cheating people out of the joys of owning a Tesla by not advertising?
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Elon Musk19:17
We will do some advertising.
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Vaibhav Taneja19:21
So Yeah, I'll say something. You know, our fundamental belief is that we need to be providing the best products at a reasonable price to the consumers. Just to give you a fact, in US alone in Q2, over two-thirds of our sales were to deliveries were to people who had never owned a Tesla before. And which is encouraging. We spend money on advertising and other awareness programs and we have adjusted our strategy. We're not saying no to advertising. But this is a dynamic way and we know that we have not exhausted all our options and therefore plan to keep adjusting in the later half of this year as well.
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Travis Axelrod20:01
Great, thank you very much. The next question is on energy growth, which we already covered in opening remarks. So we'll move on to the next one. What is the update in timeline for Giga Mexico and what will be the primary vehicles produced initially?
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Elon Musk20:15
Well, we currently are focused on Giga Mexico. I think we need to see just where things stand after the election. Trump has said that he will put heavy tariffs on vehicles produced in Mexico. So it doesn't make sense to invest a lot in Mexico if that is going to be the case. So we need to kind of see where things stand politically. However, we are increasing the capacity at our existing factories quite significantly. And I should say that the robotaxi will be produced here at our headquarters at Giga Texas. And as well Optimus, towards the end of next year for Optimus production version two, the high volume version of Optimus will also be produced here in Texas.
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Travis Axelrod21:17
Great, thank you. Just a couple more. Is Tesla still in talks with an OEM to license FSD?
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Elon Musk21:24
There are a few major OEMs that have expressed interest in licensing Tesla full self-driving. And I suspect there will be more of it over time. But we can't comment on the details of those discussions.
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Travis Axelrod21:41
All right, thank you. And the last one, any updates on investing in xAI and integrating Grok into Tesla software?
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Elon Musk21:50
I should say that Tesla is learning quite a bit from xAI. It's been actually helpful in advancing full self-driving. And in building up the huge Tesla data center. With regarding investing in xAI, I think we need to have a shareholder approval of any such investment. But I'm certainly supportive of that if shareholders approve it. I think we need to vote on that. And I think that there are opportunities to integrate Grok into Tesla software, yes.
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Travis Axelrod22:26
All right, thank you very much. And now we will move on to analyst questions. The first question comes from Will Stein from Truist. Will, please go ahead and unmute yourself.
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Will Stein22:37
Great, thanks so much for taking my question. And this relates a little bit to the last one that was asked. Elon, I share your strong enthusiasm about AI and I recognize Tesla's opportunity to do some great things with the technology, but there are some concerns I have about Tesla's commercialization, and that's what I'd like to ask about. Specifically, there were some news stories through the quarter that indicated that you redirected some AI compute systems that were destined for Tesla instead to xAI or perhaps it was to X, I'm not sure. And similarly, a few quarters ago, if you recall, I asked about your ability to hire engineers in this area and you noted that there was a great desire for some of these engineers to work on projects that you were involved with, but some of them weren't at Tesla. They were instead at xAI or perhaps even X again. So, the question is when it comes to your capital investments, your AI R&D, your AI engineers, how do you make allocation decisions among these various ventures and how do you make Tesla owners comfortable that you're doing it in a way that really benefits them? Thank you.
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Elon Musk23:54
Yeah, I mean, I think you're referring to a very old article regarding GPUs. It was six or seven months old. Tesla said we had no place to turn them on. So, it would have been a waste of Tesla capital because we would just have to order H100s and have no place to turn them on. So, it wasn't a big xAI over Tesla. The Tesla data centers were full. There was no place to actually put them. We've been working 24/7 to complete the south extension on the Tesla Gigafactory here in Texas. That's our, the south extension is what will house the 50,000 H100s. And we're beginning to move the H100 server racks which place there. But we really needed that to complete physically. You can't just order GPUs and turn them on. You need a data center. It's not possible. So, I want to be clear that was in Tesla's interest, not contrary to Tesla's interest. Does Tesla no good to have GPUs that can't turn on? The split second that Tesla was able to take GPUs, which is really just this week, we're moving GPUs in there and we'll bring them online. With regard to xAI, there are people that only want to work on AGI. So, what I was finding was that when trying to convince people to come to Tesla, they would only, they'd been working on AGI, not Tesla's specific problems. And they want to start a startup. So, it was a case of either they go to a startup and I'm involved or they would do a startup and I'm not involved. Those are the two choices. This wasn't a case of, oh, they wouldn't come to Tesla. They were not going to come to Tesla under any circumstances. So, yeah.
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Vaibhav Taneja26:31
Yeah, I mean, I would even add that, you know, AI is a broad spectrum. And there are a lot of things which, you know, we are focused on full self-driving as Tesla and also Optimus. But, there's the other spectrum of AI which we're not working on. And that's the kind of work which other companies are trying to do in this case xAI. So, you have to keep that in mind that it's a broad spectrum. It's not just one specific thing.
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Elon Musk27:03
Yeah, and once again, I want to just repeat myself here. I tried to recruit them to Tesla. Including to say like you can work on AGI if you want, and they refused. Only then was xAI created.
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Will Stein27:16
I really appreciate that clarification. If I can ask one follow-up, it relates to the new vehicles that you're planning to introduce next year. I understand this is not the venue for product announcements, but when we think about the focus, I've heard on the one hand that the focus is on cost reduction, on the other hand, you also said that the Roadster would come out. Should we expect other maybe more limited variants like similar to the cars that you make today, but with some changes or improvements or different form factors? Should we expect that to be a significant part of the strategy in the next year or two?
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Elon Musk28:05
I don't want to get into the details of product announcements. And I'm going to have to be careful of the Osborne effect here. So, you know, if you start announcing some great thing, it affects our near-term sales. We're going to make great products in the future just like we have in the past. End of story.
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Travis Axelrod28:31
Great. The next question comes from Ben Kallo from Baird. Ben, please go ahead and unmute yourself.
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Ben Kallo28:39
Hi. Thanks for taking my question. When we think about revenue contribution and with energy growing so quickly and Optimus on the come. How do we think about the overall segments longer term and then do you think that auto revenue will fall below 50% of your overall revenue? And then my follow-up is just on the last call you talked about distributed compute on your new hardware. Could you just update us and talk a little bit more about that, the timeline for it and how you would reward customers for letting you use their compute power in their cars? Thanks.
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Elon Musk29:17
Yeah, I mean as I've said a few times that I think the long-term value of Optimus will exceed that of everything else that Tesla combined. So, it's simply, you simply consider the usefulness, utility of a humanoid robot that can do pretty much anything you ask of it. I think everyone is going to want one. There's 8 billion people on Earth. So, that's 8 billion right there. Then you've got all of the industrial uses.
Which is probably at least as much, if not way more. So, I suspect that the long-term demand for general-purpose humanoid robots is in excess of 20 billion units. And Tesla has the most advanced humanoid robot in the world. It's also very good at product manufacturing, which the other companies are not. And we've got a lot of experience, the most experience with the world leaders in real-world AI. So, we have all of the ingredients. I think we're unique in having all of the ingredients necessary for large-scale, high-utility, generalized humanoid robots. But that's why I think my rough estimate long-term is in accordance with the ARK Invest analysis of a market cap on the order of $5 trillion, and maybe more for autonomous transport. And it's several times that number for general-purpose humanoid robots. I mean, at that point, I'm not sure what money even means. And so, in the benign AI scenario, we're headed for an age of abundance, where there is no shortage of goods and services. Anyone can have pretty much anything they want. It's a pretty wild future we're headed for.
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Travis Axelrod31:30
And on the distributed compute?
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Elon Musk31:32
Yeah, distributed compute. That seems like a pretty obvious thing to do. I think the way that distributed compute becomes interesting is with the next-generation Tesla AI chip, which is hardware 5.0, which we're calling AI 5. From the standpoint of inference capability, it's comparable to an NVIDIA V100. And we're aiming to have that in production at the end of next year and scale production in '26. So, just think, if you've got autonomous vehicles that are operating for 50 or 60 hours a week, there's 168 hours in a week, so you have somewhere above 100 hours of computing. Because GPU means graphics processing unit. So, there's 100 hours plus per week of AI inference compute from the fleet, from the vehicles. And plus some percentage from the humanoid robots. That it would make sense to do distributed inference. And if there's a fleet of, at some point, 100 million vehicles with AI 5 and beyond, you know, AI 6 and 7 and whatnot. And there may be billions of humanoid robots. That is just a staggering amount of inference compute that could be used for general purposes. That computing doesn't have to be used for the humanoid robot or for the car. So, I think that's just a pretty obvious thing to do. It's more useful than having it do nothing.
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Travis Axelrod33:37
All right, thank you. The next question comes from Alex Potter from Piper. Alex, please go ahead and unmute yourself.
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Alex Potter33:46
Perfect. Thanks. I wanted to ask a question on FSD licensing. You mentioned that in passing previously. I was just wondering if you can elaborate maybe on the mechanics of how that would work. I guess presumably this would not be some sort of simple plug-and-play proposition. Presumably an OEM would need, I don't know, several years to develop its own vehicle platform that's based on FSD. I imagine they would need to adapt Tesla's electrical architecture, compute, sensor stack. So, correct me if I'm sort of misunderstanding this, but if you had a cooperative agreement of some kind with another OEM, then presumably it would take you several years before you'd be able to recognize licensing revenue from that agreement. Is that the right way to think about that?
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Elon Musk34:33
Yes. The auto industry does not move fast. There's not really a sensor suite. It's just cameras. But they would have to integrate our AI computer and have cameras with a 360-degree view. And at least the gateway, like what talks to the internet and communicates with the Tesla system, with that unique kind of gateway computer too. So, it's really gateway computer with cellular and Wi-Fi connectivity, the Tesla AI computer, and seven cameras, or enough cameras to get a 360-degree view. But given the speed at which the auto industry moves, it would be several years before you would see this in volume.
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Alex Potter35:24
Okay, good. That's more or less what I expected. So, then the follow-up here is if you did sign an FSD licensing agreement with another automaker, when do you think you would disclose that? Would you do it right when you sign the agreement or only after that multiple years has passed and the vehicle is ready to be rolled out?
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Elon Musk35:46
I think it depends on the OEM. I would guess they would be happy either way. Yeah, it depends on what kind of agreement we enter into. A lot of those things are not items resolved yet. So, we'll make that determination as and when we get to that point. And the kind of deals that are obviously relevant are only if some OEM is willing to do this in a million cars a year or something significant. It's not if it's like 10,000 or 100,000 cars a year. We could just make that ourselves.
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Travis Axelrod36:26
All right, thank you. The next question comes from Dan Levy from Barclays. Dan, please go ahead and unmute yourself.
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Dan Levy36:35
Hi, good evening. Thanks for taking the questions. First, wanted to start with a question on Shanghai. You've leveraged Shanghai as an export center. Really do it's low cost and makes sense. Maybe you can just give us a sense of how the strategy changes, if at all, given the implementation of tariffs in Europe. Also, to what extent your import of batteries from China into the US, how that might change given the tariffs. Thank you.
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Vaibhav Taneja37:10
Yeah, I think I covered some part of it in my opening remarks, but just to give you a little bit more. Just on the tariff side, the European thought is they did sample certain other OEMs in the first round to establish the tariffs for cars being imported from China into Europe. While we were not picked up in our individual examination in the first round, they did pick us up in the second round. They visited our factory. We worked with them, provided them all the information. As a result, we are adjusting our import strategy out of China into Europe. But, and one other thing to note is in Q2 itself, we started building right-hand drive Model Ys out of Berlin, and we also delivered it in the UK. And we're adjusting as needed. But we will keep adjusting. We're still importing Model 3s into Europe out of China. And we are still evaluating what is the best ultimate map through all this. Just on the examination by the European authorities, like I said, we cooperated with them well. We are confident that we should get a better rate than what they have imposed for now, but this is literally evolving and we are adjusting as fast as we can with this. I would also add that because of this, you've seen the impact that volume is doing more imports into places like Taiwan, as well as the UK I just mentioned. So, it will keep changing and we will keep adapting as we go about it.
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Dan Levy39:08
Great, thank you. Yeah, thank you. As a follow-up, we wanted to ask about the robotaxi strategy and specifically the shareholder deck here notes that the release is going to be one of the gating factors is regulatory approval. So, maybe you could help us understand which regulations specifically are the ones that we should be looking for? Is it FMVSS that's a standard and then, to what extent does the strategy shift? You've gone with FSD more of a nationwide, no-boundary approach. Is the robotaxi approach one that's more geofenced, so to speak, and is more driven by a state-by-state approach?
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Elon Musk40:01
I mean, our solution is a generalized solution. Like whatever else has, if you see like Waymo and whatnot, they have a very localized solution that requires high-density mapping. That's quite fragile. So, their ability to expand their fleet is limited. Our solution is a general solution that works anywhere. It would even work on a different Earth. So, if you rendered a new Earth, it would work on a new Earth. So, it's this capability. I think in our experience, once we demonstrate that something is safe enough or significantly safer than human, we find that regulators are supportive of deploying that capability. It's difficult to argue with if you've got a large number of, yeah, if you've got billions of miles that show that in the future unsupervised FSD is safer than human, what regulator could really stand in the way of that? They're morally obligated to approve. So, I don't think regulatory approval will be a limiting factor. I should also say that the self-driving capabilities that are deployed outside of North America are far behind that in North America. So, with version 12.5, and maybe it's 12.6, but pretty soon, we will ask for regulatory approval of the Tesla supervised FSD in Europe, China, and other countries. And I think we're likely to receive that before the end of the year. Thank you. It would be very helpful to have a human driver in those regions, obviously.
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Vaibhav Taneja42:11
Thank you. Just a Travis, in terms of like, as Elon said, in terms of regulatory approval, the vehicles are governed by FMVSS in the US, which is NHTSA, which is the same across all 50 states. The road rules are the same across all 50 states. So, creating a generalized solution gives us the best opportunity to then deploy in all 50 states reasonably. Of course, there are state and even local, municipal level regulations that may apply to being a transportation company or deploying taxis, but as far as getting the vehicle on the road, that's all federal and that's very much in line with what Elon was just suggesting about the data and the vehicle itself.
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Will Stein42:57
And to add to the technology point, the end-to-end network basically makes no assumption about the location. Like you could add data from different countries and it would just perform equally well there. There's almost close to zero US-specific code in there. It's all just the data that comes from the US.
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Elon Musk43:16
Yeah, to that end, Vishay, it's like, we can go as humans to other countries and drive with some reasonable amount of assessment in most countries. And that's how you design the FSD software.
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Will Stein43:28
Yeah, exactly.
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Travis Axelrod43:32
Great. Thanks, guys. The next question comes from George from Canaccord. George, please go ahead and unmute yourself.
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George43:40
Hi, everyone. Thank you for taking my questions. Maybe just to expand on the regulatory question for a second. And I could be comparing apples and oranges, but GM canceled their pedal-less, wheel-less vehicle. And according to the company this morning, their decision was driven by uncertainty about the regulatory environment. And from what we understand, and again, maybe I'm wrong here, but the robotaxi that has been shown at least in the images of the public, is also pedal-less and wheel-less. Is there a different regulatory concern just if you deploy a vehicle like that that doesn't have pedals or a wheel, and that may be different from just regular FSD on a traditional Tesla vehicle? Thank you.
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Elon Musk44:24
Well, obviously the real reason that they canceled it is because GM can't make it work, not because of regulators. They're blaming regulators. That's misleading to do so. Because Waymo is doing just fine in those markets. So, it's just that their technology is not up to par.
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George44:47
Right. And maybe just as a follow-up, I think you mentioned that FSD take rates were up materially after you reduced the price. Is there any way you can help us quantify what that means exactly? Thank you.
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Vaibhav Taneja45:01
Yeah, I mean, we've shared that we've seen a meaningful increase. I don't want to get into specifics because we started from a low base, but we are seeing encouraging results. And the key thing here is, like Elon said, you need to experience it because words can't describe it until the time you actually use it. And that's why we're trying to make sure that every time a car is getting delivered, people are being shown how this thing is working because when you see it working, you realize how great it is. I mean, just to give you one example, so again, this is a biased example, but I have a more than 20-mile commute into the factory almost every day. I have zero interventions on the latest stack, and the car just literally drives me home. And especially with the latest version, wherein we're also tracking your eye movement, the steering nag is almost not there as long as you're not wearing sunglasses.
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Elon Musk46:05
Well, we're fixing the sunglasses thing. It's coming soon. So, you will be able to have sunglasses on and have the car drive. Yeah. But, you know, this particular number of times I've talked with smart people who live in New York or maybe downtown Boston and don't ever drive and then are asked me about if it's, you know, like just get a car and drive it. And if you're not doing that, you have no idea what's going on.
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Travis Axelrod46:43
Thank you. The next question comes from Pierre from New Street. Pierre, please unmute yourself.
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Pierre46:54
Hey guys. Thank you for taking my question. So, it's on the robotaxi again and I completely get it that with a universal solution, we will get regulatory approval. We'll get there eventually. Clicking at miles and compute, etc. And my question is more how you think about deployment? Because I'm still like I'm thinking once you have a car that can drive everywhere that can replace me, it can replace a taxi. But, then to do the ride-hailing service you need a certain scale. And that means a lot of cars on the road and so you need an infrastructure to just maintain the cars, take care of them, etc. And so, my question is are you already working on that? Do you have already an idea of what your plan to deploy looks like? And is that a Tesla-only plan or are you looking at partners, local partners, global partners to do that? And then I have a quick follow-up.
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Elon Musk48:00
This would just be the Tesla network. You just literally open the Tesla app and summon a car to pick you up and take you somewhere. And we will have a fleet that's on the order of 7 million dedicated to local autonomy soon. In the years to come it will be over 10 million, then over 20 million. This is immense scale. And the car is able to operate 24/7 unlike the human drivers. So, the capability to, like, there's basically instant scale with a software update. And now this is for a customer-owned fleet. So, you can think of that as being a bit like Airbnb. You can choose to allow your car to be used by the fleet or cancel that and bring it back. It can be used by the fleet all the time. It can be used by the fleet some of the time. And then Tesla would share in the revenue with the customer. But you can think of the giant fleet of Tesla vehicles as like the giant sort of an Airbnb equivalent fleet. Airbnb on wheels. I mean, then in addition we would make some number of cars for Tesla that would just be owned by Tesla and be as a fleet. I guess that would be a bit more like Uber. But this will be a Tesla network. And there's an important clause we've put in every Tesla purchase which is that the Tesla vehicles can only be used in the Tesla fleet. They cannot be used by a third party for autonomy.
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Pierre49:57
Okay, and do you think that scale, like for the city, so you can start in a city with just a handful of cars and you grow the number of cars over time or do you think there is like a critical mass you need to get to to be able to offer like a service that is of competitive quality compared to what Uber would be typically delivering already?
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Elon Musk50:20
I guess I'm not maybe I'm not conveying this correctly. The entire Tesla fleet basically becomes active. You know, this is obviously maybe there's some number of people who don't want their car to earn money, but I think most people will. It's instant scale.
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Travis Axelrod50:42
Thank you. Our next question comes from Colin from Oppenheimer. Colin, please unmute yourself.
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Colin50:56
Sorry about that, guys. I've got two questions around energy storage. With the tight supply on the stationary storage, can you talk about your pricing strategy and how you're thinking about saturation in given geographies given that some of these larger systems are starting to shift wholesale power markets in a pretty meaningful way quickly.
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Vaibhav Taneja51:17
So yeah, I mean, we are working with a large set of players in the market and our pipeline is actually pretty long. And there's actually a very long end in terms of where you enter into a contract to where delivery starts happening. And so far we have good pricing leverage. And now Mike, chime in on this, too.
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Will Stein51:46
Yeah, I mean, there's a lot of competition from Chinese OEMs, just like there is in the vehicle space. So, we're in close contact with our customers and making sure that we're remaining competitive in where they're needing to be competitive to secure contracts to sell power and energy in the markets. We had a really strong contract quarter and continue to build our backlog for 2025 and 2026. So, we feel pretty good about where we are in the market. We realize that competition is strong, but we have a pretty strong value proposition with offering a fully integrated product with our own power electronics and site-level controls. So,
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Vaibhav Taneja52:23
Yeah, and again, the aspect which people miss, do not fully understand is that there's also a whole software stack which comes with our Megapack. Right. And that is a unique proposition which we have which is only available to us. And we're using it with other stuff, too, but that gives us a much, much, much more of an edge as compared to the competition.
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Elon Musk52:45
Yeah. Yeah, we only find customers that they can sort of put together a hodgepodge solution. And so and then sometimes they'll pick that solution and then that doesn't work. And then they come back to us.
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Will Stein53:00
Yeah, and we're not really seeing saturation like on a global scale. There's little pockets of saturation in different markets, but we're more seeing that there's markets opening up given demand on the grid just continues to increase more than anyone expects. So, that just opens up markets, really across the world in different pockets.
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Vaibhav Taneja53:21
Yeah, I mean, just even on the AI computer side, like these GPUs are really powerful, right? And the amount of new pipeline which we're getting for people for data center backup and things like that is increasing at a pretty large scale.
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Colin53:41
Yeah, thanks to that. And then the follow-up question here is do you run the 4680 process technology, you know, in the road-to-road process, you know, there's some news around your equipment suppliers. Can you talk about how far along you are in potentially qualifying an incremental supplier around some of those critical process technology steps?
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Vaibhav Taneja54:04
Yeah, I can talk about that. You know, as you're probably referring to the lawsuit that we have with one of our suppliers. Look, I don't think this is going to affect our ability to roll out 4680. You know, we have a very strong IP position in the technology and the majority of the equipment that we use is in-house designed and some of it's in-house built. And so we can take our IP stack and have someone else build it if we need to. So, that's not really a concern right now.
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Elon Musk54:43
Yeah. I think people don't understand just how much demand there will be for storage. They're really just underestimating this demand by probably orders of magnitude. So, the actual total energy output of say the US grid is, if the power plants could operate at steady state, is at least two to three times the amount of energy a country produces. Because there are huge gaps, there's a huge difference from peak to trough in terms of power generation. So, in order for a grid to not have blackouts, it must be able to support the load at the worst minute of the worst day of the year, the coldest or hottest day, which means that for the rest of the time the rest of the year it's got massive excess power generation capability but it has no way to store that energy. Once you add battery packs you can now run the power plants at steady state. Steady state means that basically any given grid anywhere in the world can produce in terms of cumulative energy in the course of the year at least twice what it is currently producing. In some cases maybe three times.
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Travis Axelrod56:11
All right, thank you. That is a very profound thing. Thank you Elon. The next question comes from Colin Langan from Wells Fargo. Colin, please unmute yourself.
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Colin Langan56:26
Oh great. Thanks for taking my questions. Do you hear me?
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Travis Axelrod56:35
Yeah.
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Colin Langan56:36
Okay. Sorry. I guess we got to ask, you know, if Trump wins there's a higher chance that IRA could get cut. I think Elon you had commented online that Tesla doesn't survive on EV subsidies. But wouldn't Tesla lose a lot of support if IRA goes away? I think Model 3 and Y get IRA help for customers and I think your batteries get production tax credits. So just what can you clarify if the IRA ends, you know, would it be a negative to your profitability in the near term? Why might it not be a negative and then any framing of the current support you get IRA related?
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Elon Musk57:16
I guess there would be like some impact but I mean I think it would be devastating for our competitors but it would hurt Tesla slightly. But long term probably actually helps Tesla if it would be my guess. But I've said this before and I suppose the value of Tesla overwhelmingly is autonomy. These other things are in the noise relative to autonomy. So, I recommend anyone who doesn't believe that Tesla will solve vehicle autonomy should not hold Tesla stock. They should sell their Tesla stock. If you believe Tesla will solve autonomy, you should buy Tesla stock. And all these other questions are in the noise.
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Vaibhav Taneja58:19
Yeah, I mean I'll add to this just to clarify a few things that at the end of the day when we are looking at our business we've always been looking at it whether or not IRA is there. And we want our business to grow healthy without having any subsidies coming in. Whichever way you look at it. And that's the way we have always modeled everything. And that is the way internally also even when we're looking at battery costs, yes, there are manufacturing credits which we get, but we always drive ourselves to say, 'Okay, what if there's no IRA benefit? And how do we operate in that kind of an environment?' Like Elon said, we definitely have a big advantage as compared to our competition on that front. We've delivered it and you can see it in the numbers over the years. So, you cannot ignore the fundamental sides of the business. And then on top of it once you add autonomy to it, like Elon said, it becomes meaningless to you when you think about the short term.
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Travis Axelrod59:31
Okay. I think that's unfortunately all the time we have for today. We appreciate all of your questions. We look forward to talking to you next quarter. Thank you very much and goodbye.