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$TSLA

$TSLA · InvestAnswers · 2026-10-30

AI 摘要 · InvestAnswers

Tesla 的垂直整合、制造与供应链掌控力使其领先于人形机器人竞争对手,支撑对 robotaxi 和 Optimus 规模化的看多逻辑。其预计到年底将有 3,000 至 5,000 辆 CyberCab,到 1 月和 2 月达到 10,000 辆,并表示 2,000 辆自动驾驶汽车就足以给华尔街信心;10 万辆的实质性规模可能需要一年半。尽管存在质疑,其仍确信 Tesla 在 Optimus 规模化上胜出,并称 Tesla 是其前 200 只股票中“最不差”的一只。

看涨他说的是几个月内
《The SpaceX Tesla Math Nobody Is Calculating 🚀》
InvestAnswers发布 2026-10-30 · 48 段内容
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48 段内容
2:2970:42

我一些最好的投资,你知道,早期进入 Tesla 并持有,然后过去五年一直持有是很艰难的,人们当时是那么想的,但我认为它会走到那一步,因为 Elon 他们说了,你知道,第二波增长,但如果你更聪明,你可以判断出什么时候该卖出,但那需要更高的技巧,但如果你就是知道某个东西真的是 Amazon 和 Apple,那么熬过艰难时期一直持有,这本身就足以获得 10 倍、100 倍类型的回报。

some of my best investments you know getting into Tesla early holding it you know and then holding it through the last 5 years has been tough you know that where people thought but I think it's going to be coming into that as they Elon they said you know the second wave of growth so but then if you're even smarter you could figure out when to trade out but um that you know requires more sophistication but you know if you just know that something's really really an Amazon and an Apple that that through the rough times you hold through that that by itself is is efficient to get um 10 bagger 100bagger type returns.

在 SpaceX 和 Tesla 身上这更明显,因为他们在财报电话会议上一直很谨慎,他们透露得更少,他们不再给出,出于各种原因、在各种话题下,他们不再给出信息。所以这意味着,那些能把点连起来、能看懂线索的人,就有更大的优势,因为事情发生了却没被认识到,因为你没有,你知道,把它喂到人们嘴边。

it's happening more with SpaceX and Tesla because they have been so ky on their calls on their um earnings calls that they are giving they're spoon feeding less they're they're not giving the for for various reasons under various topics they're not giving the information.

So that means the people who connect the dots, who look at the breadcrumbs, then you have even more advantage because it's happened and it's uh not been um recognized because you didn't, you know, spoon feed it to people.

我们接下来会做一些建模。我们会聊到 SpaceX。然后再往后是 Tesla、Optimus、Cyber Cab、产能爬坡、价格预测,但关于算力,我们有太多要聊的。

We're going to go into some modeling. Uh we're going to talk about SpaceX. Then down the line Tesla, Optimus, Cyber Cabs, ramps, price predictions, but we have so much to talk about regarding compute.

当你审视这些资产时,我们都知道你是 Tesla 和 SpaceX 的股东。如果这三个问题里你必须选一个让你睡不着觉的,会是哪个?是吉瓦级算力的电力、Robotaxi,还是 Optimus?

when you look at these assets we all know you are a shareholder in Tesla and SpaceX. if you had to pick one of these three issues that you would lose sleep over, what would it be?

Would it be power for gigawatts of compute, robo taxi, or Optimus?

这取决于时间框架。第一个我绝对完全有信心。第二个,它正在爬坡。我对第二、第三季度感觉非常好,但它可能会推迟,你知道,很容易就推到第三、第四季度。

Um, it depend on the the time frame. Um, I definitely I'm utterly confident in number one. Uh, number two, it's it's ramping. I'm feeling very good about that for Q2, Q3, but it could delay, you know, into Q3, Q4, um, easily.

顺便问一下,你对真正规模的定义是什么?我的临界点一直是 2000 辆 Cybercab 在路上跑,我们到圣诞节就能达到,对吧?考虑到每周 17% 到 21% 的增长爬坡,对吧?

what is your definition, by the way, a serious scale? My, my tipping point was always 2,000 cyber cabs rolling around and we could get there by Christmas, right? Given this given the ramp of 17 to 21% growth every week, right?

对我来说,真正认真的规模,股价会先动,但真正认真的规模会是 10 万辆 Robotaxi,要么在 Tesla 的车队里,要么激活网络。所以 10 万辆或更多,我认为基本上就是确定的起飞点,超过那个点你就走向 100 万辆,你知道,从 1000 到 1 万可能比从 1 万到 10 万更慢。

所以 10 万辆往上,基本上一切都很美好。所以我认为 10 万辆,不过 10 万辆也要花很长时间才能达到。我们说的是一年半。

Uh for me um really serious scale the stock would move before it but uh really serious scale would be you know 100,000 uh robo taxi uh either u in Tesla's fleet or activated the network.

So 100,000 or more I think is is basically assured takeoff beyond that point you're going to a million you know like going from 1,000 to 10,000 might be slower than 10,000 to 100,000.

So then 100,000 on up, you're basically it's all it's all wonderful at that point. So I I view 100,000 even 100,000 take a long time to get to though. We're talking a year and a half.

如果华尔街看到有 2,000 辆车在自动驾驶运行、赚取大量收入,这就足以给他们信心。好,如果它们能做到 2,000 辆,就能做到 10,000 辆,这意味着它们能做到 100,000 辆。

If Wall Street sees 2,000 cars rolling around autonomously generating a lot of money, that's enough to give them confidence. Okay, if they can do 2,000, they can do 10,000, which means they can do 100,000,

所以就我那个 100,000 辆的说法而言,基本上是按每辆车 50,000 美元算,你就进入了 500 亿美元的区间。资金瀑布已经明显完全到位,到那个时点就没有任何解读空间了。所以这就是我为什么喜欢这个数字。

so in terms of my 100,000 thing is basically where at $50,000 per vehicle you're into the $50 billion range. You know, you've moved the cap the money uh waterfall has is clearly totally there and there's no interpretation at that point. So that's that's why I I love that number.

说到你的观点,在我密切跟踪的情况下,奥斯汀注册的 1080 辆里我们到了 712 辆。所以按这个密度,每百万人 23,274 辆,这意味着光做休斯顿、达拉斯和迈阿密这几个城市,我们就应该达到 10,000 辆,因为休斯顿、达拉斯人口更多,迈阿密人口也更多。

所以哪怕按奥斯汀的注册车辆密度,我们也能到 10,000 辆,而我预计这会在明年一月、二月发生。

Um, to your point, when I track things closely, we're at 712 of the 1080 Texas registered in Austin. So, at that density, 23 274 per million people, that means just doing Houston, Dallas, and the Miami cities, we should be at 10,000 because it would um because Houston, Dallas have more people, Miami have more people.

So, um, I I can even at the at the Austin density of registered vehicles, we we to 10,000 and then that I expect to happen January, February of next year.

所以这就是我对这件事的分析。我在想今年年底是 3,000 到 5,000 辆。

So, so that would be my analysis of of that. So, I'm um I'm thinking 3,000 um to 5,000 at the end of this year.

然后他们就会被挤出达拉斯和休斯顿,接着被挤出迈阿密。你认为这会对选民、对今天开 Uber 的人等等产生什么样的影响?不会出现强烈的反弹吗?这是我一开始谈风险时就有的担忧之一。

and then they'd be crowded out of Dallas and Houston and then crowded out of Miami. What type of impact do you see that having on voters, on people who drive Ubers today, etc.?

Won't there be a big backlash? That's one of the concerns I had going back to risks at the beginning.

如果会有反弹,那在 Whimo 达到一千辆左右的时候就已经发生了。如果他们都没有对 Whimo 发起抵制,比如纽约或伦敦或其他地方的出租车司机抵制 Uber 那类事情,那种事发生得更早。

所以,如果他们已经在阻止 Uber 进入这一仗上输了,也没有对 Whimo 做出反应,那我就看不出他们为什么会因为一千辆 Tesla 而做出反应,因为无论是一千辆 Tesla 还是一千辆 Whimo,对那些开车的人来说都是一样的。

if there was going to be backlash, it would happen already at, you know, with um Whimo at at a thousand or something like that. like if they haven't pushed back against Whimo like the um New York or London or wherever other cabbies who push back against Uber and that kind of stuff like that happens earlier.

So then if they've lost that battle to keep out Uber and they haven't reacted to Whimo, then I I'm just seeing why they would react to a thousand Tesla because if it's 1,000 Tesla or thousand Whimo, it's the same to the guys um doing the the driving.

然后人们忽视的另一件事是 Optimus。我听到很多消息,某个深谙内情的人在七月就见过 Optimus V3。我听说过关于 Vera Rubin 以及 40% 的供应被 Elon Musk 锁定的说法。

我听说他们原本要在九月进入 Optimus 的规模化生产。他们晚了几个星期。他们还说会在九月进入半挂卡车的规模化生产。那个他们确实做到了,而且正在发生。所以 Optimus 这块,人们仍然不相信他们能做成。

And then the other thing that people fade is Optimus. I heard a whole bunch somebody who is deep in the know has seen Optimus V3 back in July. I heard the things about Vera Rubin and 40% of the supply being locked up by Elon Musk.

I heard they were going to go into scale production for Optimus back in September. They missed that by a few weeks. They also said they would go into scale production of the semi-truck in September.

They actually nailed that and that's happening. So Optimus people still don't believe they'll pull this off.

所以是的。所以我对 Optimus 的看法、我为什么感到有把握、为什么我觉得他们能在真正的规模上取胜,是因为这涉及我对工厂供应链和其他因素的背景分析——如果你把 Optimus 和 Figure AI 的第 4 版之类相比,对吧?

Figure 那个可能更好,对吧?不知道,对吧?但如果我想达到一百万或一千万台,那你就需要有芯片,而 SpaceX 会用 AI5 来制造,这也是 SpaceX 在 Starlink 卫星上取胜的原因。

他们有 12,000 颗,是因为他们拥有整个生态系统。他们既是买方也是供应方,垂直整合。而且作为采用者,他们花了 30 亿、50 亿美元建了一座采用 unboxed 工艺的新工厂。

所以他们让自己的工厂去适应它。Mercedes、BMW 不会改造自己的工厂来采用 Figure 的机器人。所以采用这件事上,他们系统里其他一切都在向它靠拢,不止是配合。

So yeah. So my belief on Optimus, why I feel assured, why I feel they win at true scale is that um this goes to my factory supply chain and other factors context analysis of something that if you're comparing Optimus to um figure AI version 4 or something like that, right?

The figure one could be better, right? Don't know, right? But um if I want to get to um um a million or 10 million then you need to have the the chips which um SpaceX will make with AI5 and also it's why SpaceX wins on satellites for Starlink.

They have 12,000 is that they own the ecosystem of it. They're the buyer and supplier of it vertically integrated. vertically integrated and also they can as an adopter they have made spent $3 billion $5 billion on a new factory that is um unboxed process.

So they made their factory adapt to it. Mercedes BMW do not change their factory so they can adopt figure bots. So thus um the adoption is everything else in their system is meeting it more than halfway.

他们在 Monroe Live 的采访中还说过,他们为 unboxed 工艺重新设计了 CyberCab 里的所有部件,让一切都模块化。全部卡扣式拼装,这意味着要改变布线的做法。

那就是 Cybertruck 的 48V 架构。然后暖通空调没有制冷剂管路,之前里面那些松散晃荡的东西,他们花了数十亿美元重新设计 CyberCab、重新设计 Cybertruck、打造 40V 架构、改变 unboxed 工艺。

所以不只是他们花在机器人上的钱,他们还在花钱重新设计一切。

They also in the interview with the Monroe live where they said they redesigned all the parts within CyberCab for unboxed so that they have everything modulized. It all snaps together which meant um changing how the wiring work.

That's the 48vt architecture of Cybertruck. And then the HVAC has no refrigerant lines, which all this loose floppy stuff that was in it before they spent billions of dollars redesigning CyberCap, redesigning Cybertruck, creating 40 volt architecture, changing Unbox process.

So they it's not just the money they spent on the bot, but they're spending money on redesigning everything.

这就是 Costco 对叉车的采用。Costco 的一切就是:我围绕叉车重新设计整个门店,这样我就能把托盘叉进来,而不用把东西搬到货架上。是同一个过程。所以 Costco 的效率高出五倍、人均收入高出十倍,因为他们围绕叉车来设计,Tesla 则围绕 Optimus 来设计一切。

It's the Costco adoption of um forklifts. Everything about Costco is I'm redesigning the whole store forklift around a forklift so I can then lift in pallets and I don't move things to shelves.

It's the same process. So then um Costco's five times more efficient, 10 times more efficient revenue per person because they for around the forklift they designed Tesla designed everything around Optimus.

另一件事是,我觉得大家没在谈手,手很重要,对吧?但关键是芯片。所以就像如果我把成本降下来,大脑,如果我把 Optimus 的建造成本降到 20,000 美元、10,000 美元,那么芯片可能占其中 5,000 美元,内存又占 5,000 美元。

所以你的零食是——我拿到的是饼干,也就是我机器人的身体。鱼子酱是芯片,对吧?所以当我有了这个芯片,我就有手机 100 倍的算力和能量,实际可能是一千倍,也可能比笔记本电脑高 20 倍、50 倍。

所以它改变了我的边缘计算。所以我看重的更多是 AI 芯片以及它所赋能的东西,而不只是机器人取代人类。

And the other thing is I don't think everyone's talking about the hands the hands are important, right? But it's the chip. So it's like if I reduce the cost the brain if I reduce the cost of the optimus to build material $20,000 $10,000 then the chip could be $5,000 of that chip in memory $5,000 of that.

So the your snack is I'm getting a cracker which is the body of my bot. The caviar is the chip, right? So when I have the chip, I have 100 times the energy and compute of my phone and 10 times to actually maybe like a thousand times more and maybe like 20 times 50 times more than a laptop.

So it changes my edge compute thing. So I view it more about the, you know, the AI chip and what that enables versus just the um the bot replacing a human.

让我们回到这一点,因为我经常思考这个,我看到所有竞争——中国有 100 家人形机器人制造商,美国也有几家,然后我看 Joe Techmire 拍的关于他正在建的一千万台机器人工厂的航拍视频,我知道他建工厂有多快,我看着他大约 12 个月内在世界各地建起工厂。

这东西六个月后就会完工,而他们不会让它闲置,对吧?所以请跟观众谈谈他们如何管理供应链、如何在资本上毫不留情,以及你如何看待这种规模在 Fremont 之外突破一百万台机器人。

And and and go let's go back to because I think about this a lot and I see all the competitions 100 bot humanoid bot makers in China and the handful in the US and then I I look at Joe Techmire's flyover videos of the 10 million bot factory that he's building and I know how quickly I've watched him put up factories all over the world in like 12 months.

You know this thing is going to be finished in six months and they're not going to let it idle, right? So, so talk to the audience here about how they manage supply chain, how they are ruthless with capital and how you see this scale going beyond 1 million bots out of Fremont.

对。对。所以,还是那句话,这在于供应端,就你说的 100 万台、1000 万台机器人而言,就是重做所有这些供应链的事情,而他们是供应链的大师。这就是为什么他们能这么快建数据中心,五个月而不是两年或四年,因为他们精通供应链。

他们在新冠期间精通了供应链,当时其他所有车企都因为造不出来而损失了产量。所以这对达到 100 万台、1000 万台至关重要。

Right. Right. So, they are again um it's on the supply side to your point about 1 million 10 million bots that is redoing all this supply chain stuff and they're masters of supply chain.

It's why they can build data centers so fast, five months instead of two years or four years is because they mastered supply chain. They mastered supply chain during COVID when all the other car companies had lost production because they couldn't make that. So that is huge to get to 1 million 10 million.

原型很容易,规模化很难,真正的大规模非常难。所以做到 10,000 台机器人,你仍然处在演示阶段。真正做到一百万台、一千万台,也就是他们造车的数量级,那完全是另一个世界。这就像拿某种 Bugatti 超级跑车去和一家真正的汽车制造商相比。

Um prototypes are easy, scale is hard and really big scale is is really hard. So getting to 10,000 bots, you're still in a demo stage. Really getting to a million, 10 million, which is the amount of cars they make, is an entirely different world.

It's like comparing some kind of like, you know, Bugatti supercar thing against, you know, a true car maker.

然后你还得解决需求端。所以在 Monroe Live 的采访中,他们说他们在改变 Cyber Cab 的充电方式,好让 Optimus 也能做,还有它的维护保养。所以再一次,他们在改变地面上的事实、改变比赛场地,好让他们也能利用,而且他们还会做配送,对吧?

所以机器人会从半挂卡车和其他车辆里出来做配送。这不只是载客那一侧,就像有 Uber 和 Uber Eats 一样。所以他们也会有那一块。

Um, and then you have to have solve your demand side. So then in the interview with Joe uh with um um Monroe Live, they said that they were changing the the um charging of Cyber Caps so that Optimus could do it and also the um servicing of it.

So again they're changing the the the the facts on the ground, the field of play so that they can utilize again and also they'll do delivery, right? So the boss will come out of the semi-truckss and other vehicles to do deliveries.

That's is not just the passenger side of it like there's Uber and Uber Eats. So they'll um have that as well.

这三者都是 Tesla 的巨大模式。我不会说这对其他人来说无法逾越,但这需要中国,需要一位中国企业家去释放中国的建设产能。所以你需要像华为制造芯片,再结合Xpong或小米,你知道,来做这件事。

你需要一个由多种要素组成的综合体,就像需要一批中国公司才能尝试在可重复使用火箭上竞争一样。所以他们能做到,但会落后好几年,而且他们必须达到真正的大规模。也许BYD自己可以,但在AI方面他们落后,因为他们没有数据中心和其他一切。

Which all three are massive modes for Tesla. I wouldn't say insurmountable by anyone else, but it will take um China getting um you know a Chinese entrepreneur um going to to unleash the China construction capacity.

So you'll need like Huawei making chips combining with Xpong or Xiaomi or Xiaomi, you know, to to do it. you'll need a conglomerate of of things just like you it takes a bunch of Chinese companies in order to to try and compete on reusable launch.

So they can do it. It'll be years behind um and they have to get to real big scale. Maybe BYD by themselves but um on the AI side they're behind because they they don't have the the data centers and everything else.

是的。然后在美国这边,figure投入的500亿美元,在他们迈向1万、10万的过程中简直不算什么。他们就是不行。如果是10年、15年前的Elon,也许这是一场势均力敌的较量。但现在不再是了。Elon手头同时进行的事情太多了。

Yeah. So, um, and then on on the US side, like $50 billion from figure like it's nothing in them going to 10,000, 100,000. Um, they're just not. If it was Elon 10, 15 years ago, maybe it's a fair fight.

But it's no longer that now. Elon has too much on the go.

是的。是的。有意思的是,当我看到figure、看到他们的定位时,他们是在造一个家用机器人,而我认为这实际上风险更高——如果它倒下,砸到你的婴儿或你的狗之类的,对吧?那可能会很糟。

但我也注意到它的手,基本上就是个爪子。它不是Tesla在做的那种灵巧的手。我认为这正是他们会错失一个巨大机会的地方。

Yeah. Yeah. And it's funny because when I look at the figure and I look at their positioning, they're creating a domestic bot, which is actually, I think, riskier if it falls over and falls on your infant or your dog or something, right?

That could be bad. But also, I zone in on the the hands, and it's basically a claw. It's not it's not a a dextrous hand like what Tesla's doing. And I think that's where they're going to miss a big opportunity.

是的。我不想贬低对手,也不想低估他们,Amazon说他们要进入机器人到机器人的配送,而且他们有仓库之类的东西。所以确实有那种需求。那么Amazon和谁合作,他们能做成吗?但Elon自带Amazon级别的需求。

所以他能够改变局面,然后还有芯片,比如,嗯,am有tranium,但你知道,所以这又是全栈,然后还有做digital optimist,如果他们拿下digital optimist,把rockbot也接进去,那你就有了一系列从虚拟到实体的智能体,它们会去做各种事情。

Yeah. Um I think the uh you know not to downplay the opposition um you know not to underestimate them Amazon is saying that they're going to get you know into bot and bot delivery and they have the warehouses and that kind of stuff.

So there is that demand. Um so who does Amazon work with and can they pull it off? So but Elon brings his own Amazon level demand. So he will be able to change things and get and then also the chips like um well am has tranium but you know so again it's it's the full stack and then also doing digital optimist if they get digital optimist they get rockbot tied into that then you have a range of um virtual to physical agents that would then be doing stuff.

所以这又是,他在各个层面同时发力。这是全面出击,协同效应、垂直整合、AGI超级智能同时碰撞,再加上他们大规模制造和管理垂直整合的能力,整个故事简直疯狂。

So again it's it's um he's hitting all different levels. It's it's a a full press the combination between synergy, vertical integration, AGI super intelligence clashing all at the same time, the chops they have for manufacturing at scale and managing vertical integration, the whole story is bonkers.

如果外面任何人花10分钟看看这两个实体同时进行的建设,都会让你震惊。这个星球上没有任何实体正在做这些家伙现在所做事情的10%。连10%都没有。

And if you just take if anybody out there takes 10 minutes and looks at all the simultaneous construction done by these two entities, it will melt your mind. There is no entity on the planet that's doing 10% of what these guys are building right now. Not 10%.

这让人头脑发麻。总之,我们进入建模吧,因为我看到的一件事,我知道你也看到了,就是没有人在算力方面把账算对。

And it it that melts your head. Anyway, let's get into the modeling because one of the things that I see and I know you see it too is nobody is doing the math correctly around compute.

好吗?我知道我甚至不需要带你过一遍这些数字。我知道你对它们了如指掌。但即便只看Deutsche Bank的数字,他们相信,或者是不是Bank of America,抱歉,是这两家银行,对,这些是Deutsche Bank的数字,一吉瓦可以轻松带来500亿美元收入,轻松,对吧?

即便按保守的20%利润率来算,而我们知道利润率可能高得多,一吉瓦的AI算力一年可以赚100亿美元,对吧?那就是20%到500亿美元。

Okay? And I know I I don't even need to walk you through these numbers. I know you know them cold. But even just taking Deutsche Bank's numbers they you know they believe or was it Bank of America sorry both these banks yeah these are Deutsch Bank numbers um one gigawatt can easily make 50 billion of revenue easy right and even at a conservative 20% margin on that which we know can be an awful lot higher one gawatt of AI compute can make 10 billion a year right that's 20% to 50 billion.

现在你看看一家公用事业公司做的事,他们在一吉瓦算力上只赚不到1%的一小部分。所以第一个问题是,为什么所有公用事业公司不转向AI?当然他们不会那么做。当然他们是垄断企业。但这是第一部分。

Now when you look at what a utility company does, they make like a fraction of 1% on a gigawatt of compute. So the first question is why don't all the utility companies pivot to AI?

Of course they're not going to do that. Of course they're monopolies. But that's the first part.

但接下来我们谈谈这个。这是我们过去几周一点点拼出来的线索。mini heart。你算过这些数字。我也算过。你认为mini heart的成本是130亿美元,这个数字可能还有点保守。

But then let's talk about this. And this is what we've learned the breadcrumb over the last couple of weeks. The mini heart. And you've crunched the numbers. I've crunched the numbers.

And you believe the cost of a mini heart is 13 billion which might be a little bit sandbagged.

400兆瓦电力。所以是一吉瓦的40%。它可以容纳22万块B300,verubins,随便他们什么时候拿到。所以这东西能赚的钱实际上可以带来仅仅六个月的周转回收期,而不是CFO不久前在财报电话会上说的九个月或十二个月。再给我们讲讲这有多疯狂。

400 megawatts of power. So it's 40% of a gawatt. It can house 220,000 uh B300s verubins whatever whenever they get them. So the money that this thing can make can actually create a turnaround payback period of just six months not nine months or 12 months like the CFO said on the earnings call not too long ago. walk us through again how bonkers this is.

其他所有人建一个数据中心要两年,通常两年或更久。而这个东西大约五六个月就建成了。我们知道这一点,因为S1出来的时候,mini hard还没开始建设,对吧?所以那大概是四月、五月左右。

然后Elon说它会在十一月完工。十一月完工,里面装好22万块芯片。所以你看的是五个月的时间框架,而他们已经在说,Jensen说,你们太厉害了,Colossus 1和Colossus 2一年就做完了,对吧?所以他们比其他人跑得还要快。

So everyone else is taking two years uh usually two years or more to make a data center. So this thing is being built in about five, six months. And we know this because when the S1 was coming out, the mini hard had not started construction, right?

So that's like, you know, April, May or something like that. And then Elon saying that it'll be done in November. It'll be done with chips inside 220,000 in November. So you're looking at this five-month time frame, which they already saying, you know, Jensen saying, you guys are amazing doing it in a year for Colossus one and Colossus 2, right?

So they've gone even faster than than the other people are going.

其他所有人,比如semi analysis在审视所有这些,都说目标是从两年缩短到一年,但只有20%降到了两年以下。所以他们远远领先于其他所有人。

Everyone else like a semi analysis reviewing all of them is saying the goal is to get to a year down from two years but only 20% are down below you know two years. So it's they're way way ahead of everyone else.

这是22万块芯片设计的第二个,很快还有第三个。你在前景看到的macro harder里面有22万块芯片。它们花了一年多才到位,然后突然一切开始汇聚,接着Elon在九月发帖说,macro hard完成了,macro hard九月完成,mini hard十一月完成,还有一个十二月完成。

另一个我们最早在九月听说,说他们可能拿到那栋楼。所以所有这些都能如此快速周转,我只能说令人头脑融化,还有那130亿美元,Arch Invest和其他人在分析,然后是Deutsche Bank。

The and this is the um second and soon the third of the 220,000 chip um design. Macro harder which you see in the foreground has 220,000 chips in it. They took longer a year to get and suddenly everything started coming together and then Elon put a post out in September saying um macro hard is done macro hard is done in September mini hard is done in November and another one is done in December.

That other one the first thing we heard about was September that we they might get the building. So to have such fast turnarounds on all these things is just I say mindmelting and the $13 billion you know Arch Invest other people analyzing that and then the Deutsch bank.

所以从数字上看,六个月的回收期,coreweave,我们听过很多,他们说他们的整个计划是拿到五年租约,和Meta、Microsoft签协议,然后因为我们收得少,因为他们是锚定租户,我们只在那笔交易上加价20%到30%,然后他们去为此融资,放进SPV,他们争取在两年半内回本。

所以六个月的周期对比两年半,又是CEO们说我们的目标是两年半回收,对比这个更快的回收。

So on the numbers the six month payback time um coreweave which we've heard a lot about they've said their whole plan is we get a five-year lease um deal with Meta Microsoft and then we charge less because they're anchor tenant and we just do a 20 30% markup on that deal and then they go get financing for it. put in SPV, they try to get paid back in two and a half years.

So the six-month time frame is against two and a half years again from CEOs saying our goal is a two and a half year payback versus this faster payback.

然后建设要两年。所以这意味着我五个月建好,六个月回本。一年我就全部回本了。另一个人还要一年才建完他的楼,然后再过两年半,也就是三年半之后他才回本。所以这个的经济效益简直好得离谱。

然后他们说建设成本可能低40%,然后你在所有方面都更省。

And then construction two years. So that means I build it in in in five months. I pay back in six. In one year I'm all paid back. The other guy had is another year from finishing his building and then two and a half years more, three and a half years later that he gets payback.

So the economics are just ridiculously better for this. And then they're saying maybe 40% less construction cost and then you have less uh yeah on everything.

我拿了这个最初为Tesla搭建的估值模型,然后开始往里填,我有所有业务线,SpaceX的分部估值,但我这里只取两个。

I took I've got this valuation model originally built for Tesla and I just started plugging in I've got all the lines of business, some of the parts for SpaceX, but I'm just taking two here.

我们从CFO那里听说,到年底他们会有1000亿美元的ARR,这可能包括一些Starlink等。Starlink一个季度就略超50亿美元。所以就算210亿美元。利润率等等很简单。

我给Starlink设了42%的利润率,一吉瓦算力我给20%的利润率,而它可能高得多。

We've heard from the CFO they're going to have an ARR of 100 billion by year end which could include some Starlink etc. Starlink does just over 5 billion a quarter. So call that 21 billion.

And the margins etc are very simple. I've got a 42% profit margin I think on Starlink and the gigawatt of compute I've got 20% profit margin and it could be an awful lot higher.

光是这两家,今天的股价就是217美元。按非常保守的市盈率来算,这已经是被狠狠压低了。

Just these two alone, 217 bucks is the stock price today. Sandbag to hell at a very conservative PE.

股价会涨到856。也就是767加81。而且这还没算上其他任何东西。

Stock price would go to 856. That's 767 plus 81. And that doesn't include anything else.

然后就在昨晚,John Ellishman 出来了,他手里有所有顶级公司,你知道的,特斯拉,

And then and then just last night, John Ellishman comes out and he is he has all the top companies, you know, Tesla,

他说特斯拉也会非常高。

He said Tesla will be very high, too.

在我正在看的200只顶级股票名单里,特斯拉是表现最不差的那只。如果把石油和10年期国债排除掉,它就是最不差的,也就是说它表现得相当抗跌。

Tesla is the least worst stock of my top 200 list I'm looking at. If you take out oil and the 10-year bond, it's the least worst, which means it's holding up pretty well.

我们让 Elon 自己做涡轮机叶片,因为他拿不到涡轮机。就像他当年拿不到电池用的锂一样,我们就自己开始建锂精炼厂。他什么事都亲力亲为。

We've got we got Elon making blades for turbines because he can't get his hands on turbines. It's like he couldn't get lithium for his batteries. We started building a lithium refinery himself. He just does everything hands-on.

你能想象这样一个世界吗?我一直在想为什么这还没发生——Elon 或者 Karp 打电话给 Elon 说:“嘿,我需要50个名额,给50家主权AI、给50家财富500强公司。”这就是我看到的接下来会发生的事。这算超出可能性范围吗?

could you imagine a world I'm wondering why it hasn't happened already where Elon or Karp doesn't call Elon and say, "Hey, I need 50 slots for 50 sovereign AIS for 50 Fortune 500 companies."

That's what I see happening next. Is that beyond the realm of possibility?

我们连太空数据中心都还没做完,甚至还没开始搞特斯拉。顺便说一句,这一切都是相关的。你记得我几个月前在 Cyber Bulls 上说过这话吧。我想我当时把 Herbert 吓到了,我说你不能再只谈特斯拉了。

是特斯拉和 SpaceX,它们是一体的。所以很高兴看到世界正在转变看法。我们知道合并一定会发生。

we haven't even finished space-based data centers or even started Tesla. And it's all related, by the way. You think I remember saying this in Cyber Bulls a few months ago. I think I I horrified Herbert saying you can't talk about just Tesla anymore.

It's Tesla and SpaceX. They're one thing. So, it's great to see the world is coming around. We know the merge is going to happen.

观察点

Austin、Houston、Dallas和Miami的CyberCab注册量达到10,000辆
10,000辆已注册的CyberCab
明年1月和2月Austin、Houston、Dallas和Miami的车辆注册数据
支持robotaxi规模化扩张的论点

这个频道对 $TSLA 的历次判断

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