欢迎。

嗯，我感觉很受欢迎，所以。嗯，很高兴看到大家来到这里。

欢迎。

所以，是的，欢迎来到得州超级工厂。

好了，那么让我想想，我会回顾一下，算是重温这一年。这是令人惊叹的一年。Tesla 团队完成了令人惊叹的工作。而且我必须说，比如，有一件事，就像，你一生中最享受的是什么？真正能够与一群极具才华的人一起工作，并且，并且制造那些产品，把它们交付给人们，让人们因那些产品而开心。

这是人生中最美好的事情之一。

所以，是的，我只想说，能够与 Tesla 如此才华横溢的团队一起工作是多么荣幸，而这正是我们能够做到所有这些事情的原因。所以，是的，我们的目标是在年底前实现200万辆的年化生产速率。

这是最棒的观众。我是说，我是说，我也爱你们。所以总之，得益于 Tesla 团队的辛勤工作，我们已经能够实现150万辆的年化生产速率。根据今年余下时间的进展，我们，我认为我们可能会接近，或者将达到大约150万辆，并在年底时达到200万辆的年化生产速率。而且，而且还值得一提的是，就在最近几周，我们制造了第300万辆车。

所以，你知道，想想10年前的情况，真的相当不可思议，你知道，10年前的2012年8月，我们制造了2,500辆 Roadster，而且我想可能还有大约几百辆 Model S。但总数不到3,000辆。所以10年前，我们制造的汽车还不到3,000辆。而10年后的今天，我们已经制造了超过300万辆。

而且实际上，这是最干净利落的指数曲线之一，我……你知道，它看起来就像那种，你知道，商业计划演示里实际上不会成真的东西。但你知道，你会在风险投资商业计划的情境中看到它。但它实际上是真的。这才是令人惊叹的部分。而且，是的，是的，是的，我们的需求情况还不错，所以谢谢大家。

所以，是的，这里很棒。坦率地说，我也喜欢加利福尼亚。我要说清楚。

哦，别这样。

我们在加利福尼亚有很棒的团队，在中国上海有很棒的团队，在柏林、德国和欧洲也有很棒的团队。

是的。

而且我觉得，看看公司成立以来的累计盈利情况很有意思。而这实际上大致对应着某种精神痛苦，那种心理创伤，绿色曲线大致是准确的。但我非常自豪的是，我们实际上已经能够产生比支出更多的现金，拥有正的留存收益，并且基本上证明了我们是称职的。而这是一件意义非常重大的事。

这非常难。

我是说，这是一件大事，而且我认为它将从这里开始上升。

所以你可以看到，我们显然在2017年遇到了一些挑战，然后，但是从那以后，我们创造自由现金流的表现一直非常好，并且呈上升趋势。而这其实还是在自动驾驶真正发挥作用之前。我们在某种程度上已经实现了自动驾驶，但解决自动驾驶问题确实会将自由现金流放大到这样一种程度，你知道，你算一算，就会觉得，哇，真的能这么夸张吗？但它可能就是这么夸张。

而且你知道，这个，今年，我发誓。

这里有人参加 FSD 测试版计划吗？

太棒了。是的，不，完全是，完全是，完全是。好吧，嗯，我以为，我以为。

好了，我以为你可能会问这个。所以，因为我们已经开发10.13一段时间了，而且，而且实际上发生的情况算是，我们做了一些相当重大的架构改进。所以这实际上将不只是从10.12到10.13的一次发布。它可能，我不想过早下结论。它可能够资格叫10.69。

所以显然，它得靠表现赢得这个。不能就这么随便说出来，你知道，不过，确实有很多、很多改进，尤其是在复杂的左转方面，而且，是的，我们会解决 Chuck 的那个转弯。是的，是的，100%，绝对会。你知道，我们非常尊重合理的批评。所以，是的，我想你那个转弯的成功率大约已经达到 90%。所以，是的，我们快到 100 了。看起来不错。而且，是的，所以我的意思是，我希望可能是下周的一周。

所以，是的，2周。

是的，对我来说运行得很好。

所以，是的，团队实际上每周工作 7 天，并且在做出重大改进。而且这真的很有意思，因为我们实际上正在解决人工智能的一个重要方面，也就是用于自动驾驶的现实世界 AI，仔细想想，这差不多就是解决这个问题所需要的。解决自动驾驶所需要的。因为道路系统是如何设计的？它是为生物神经网络和眼睛设计的。因此，自然而然，能够奏效的硅基对应物就是摄像头和硅神经网络。

所以，算是、算是出于偶然，我们实际上正在解决人工智能中一个重要的、我认为非常有用的要素。而且我确实希望外面那些，你知道，正在从事 AI 工作的优秀人才考虑来 Tesla 工作，因为我认为我们正在解决 AI 中一个非常重要的部分，它最终能够通过让驾驶安全性比人类高出一个数量级，挽救数百万人的生命，并防止数千万起重伤。

以前曾经有一段时间，我们会有，是的，这超级重要。

以前曾经有一段时间，我们会有电梯操作员，而且配备电梯操作员，还有大型继电器之类的东西，是很正常的。但你知道，每个阵营，时不时地你会犯个错误，而且果然，某个人成了两半。所以我会觉得，好吧。后来我们改用自动电梯，你按一个按钮，就会到达你的楼层，而且就是能正常工作。而未来的汽车也大概会是这样，而且。

是的，所以。

然后，在下个月月底的 AI 日上，我们会有很多有意思的事情可讲。所以我就把那些留到下个月。是的。所以，你知道，当我们在这里起步时，显然有人告诉我们，有人告诉我们电动汽车是不可能的。而且实际上，即使你能制造出，你知道，一辆续航几百英里的电动汽车，也不会有人买，因为人们就是喜欢汽油车。所以，你知道，当我们起步时，创办一家汽车公司很蠢，而创办一家电动汽车公司就是蠢的平方。

而且有人告诉我们，你们永远赚不到钱，诸如此类。有一段时间我们的确没有赚钱，但现在我们的营业利润率是整个行业最高的。

没错，没错。这里说的不只是一家汽车公司。Tesla 是多家公司合为一体。我们既是一家硬件公司，也同样是一家软件公司。而这显然对未来至关重要。软件既包括车内的软件，显然也包括神经网络训练，还包括工厂里的软件。所以你可以把工厂看作一个巨大的控制论集合体。所以工厂就是一个由人、机器和软件组成的庞大控制论集合体。

而软件越好，那个控制论集合体的运作就越好。

我认为其他原始设备制造商不会这样思考，但事实就是如此。

所以，你知道，人们经常谈论电动汽车之间的竞争，但实际上，电动汽车是在从汽油车手中夺取市场份额。所以。

这个。

而从 Tesla 的角度来看，我们显然对此表示欢迎，而且看到大型汽车公司开始接受电动汽车，我们感到非常兴奋。如果把他们的新闻稿倒回到 5 年前，情况可不是这样。你知道，5、5 年前，他们对电动汽车可没说什么好话。但现在，我相信世界上几乎每一家大型汽车公司都已经接受电气化，并认同这是正确的道路。

而这正是我们创办 Tesla 时真正想做的事情。你知道，并不是为了，你知道，获得最大的市场份额或诸如此类。真正的目的是努力让，向汽车行业证明，转向电动化是可行的，而且如果你制造出有吸引力的电动汽车，人们就会购买。

而这已经发生了。我认为这真的意义深远。

此外，每当我们的竞争对手为电动汽车做广告时，我们的销量都会上升。

这挺有意思的。所以，是的，不过我们确实，我们已经把所有专利都开源了，所以他们可以免费使用我们的专利。因此，我们在，你知道，提供帮助。而且我认为这算是一种共同繁荣，这很好。所以。

是的，关于 Model Y，当然不想在小鸡孵出来之前就数有多少只，但我认为照目前的进展，Model Y 今年会成为销售收入最高的汽车，明年会成为销量最高的汽车。

仍然有很多工作要做。比如这些，这些工厂不会凭空神奇地运转起来。

所以，在柏林和这里的奥斯汀，要让这2座超级工厂扩大生产规模，仍然有很多工作要做。而且我们有不同的供应链。所以总是。存在一大堆问题。没有哪一个问题本身特别困难，但大概有10,000个。所以，生产速度基本上就取决于你能多快解决这10,000个问题？而我们解决得相当快，但仍有大量工作要做。

而且我们或许能在今年晚些时候宣布另一个工厂的选址。

等等，等等，等等，等等。我们应该在哪里，好吧，我们应该把它建在哪里？

好吧，我们听到了很多个加拿大。

不，我有一半，我有一半加拿大血统，所以也许我应该，你知道，不过，是的，嗯，我想，你知道，最终我们会建，我不知道，可能至少10或12座，10或12座超级工厂。而且它们将，它们将是真正的超级工厂，比如产量，你知道，目标是每座工厂平均产量大约150万至200万辆，这是非常庞大的。所以。

而且，我们位于加利福尼亚州的弗里蒙特工厂已经是北美产量最高的工厂。

抱歉。

嗯，我想得克萨斯、加利福尼亚、柏林之间会展开友好竞争。上海很难击败。我得这么说。上海相当。我们的上海团队简直棒极了。所以他们。

是的，那里的团队非常、非常出色。所以关于，你知道，有时我们会遭到这种，你知道，这些虚假的攻击，说什么电动汽车不知怎么就比汽油车更糟，这并不是真的。电动汽车在整个生命周期内的平均排放量远低于汽油车。我的意思是，算是在告诉你们一些事情，知道。不过你知道，每隔一段时间，你以为这种无稽之谈肯定已经被彻底终结了，但它又冒出来。

但显然，电动汽车整个生命周期的二氧化碳排放量显著低于，低于任何。低于一辆，低于一辆汽油车。所以不管怎样，现在这算是显而易见的。现在这个，这件事我觉得特别酷。如果把 Tesla 太阳能板过去10年产生的所有能源加起来，它比制造我们所有汽车，以及为我们所有汽车在超级充电站和家中充电所消耗的能源还要多。

这就像，而且我的意思是，Tesla 的使命是加速可持续发展，我认为这真的非常了不起。产生的能源比制造汽车以及让它们行驶数十亿英里所进行充电消耗的能源还多。而且显然，我们将继续扩大太阳能业务和汽车业务，并努力让两者保持同步，因为可持续能源未来有3个要素：主要利用太阳能和风能的可持续能源生产。

然后是固定式电池组，用于储存可持续能源，因为风能和太阳能是间歇性的。然后是电动交通。如果具备这3大支柱，你就拥有一个完全可持续的未来。而且，是的，所以就是。是的。

而且显然，电池组是各种可回收的。它们是，你可以把它想成高品位，或者你是想，你知道，碾碎一大堆岩石，还是碾碎一个就像超高品位矿石一样的电池组。所以回收电池组是不言而喻的选择。而且我们已经在回收了，我应该指出这一点。所以有时人们会想知道情况如何。我们已经在内华达州以每周超过50个的速度进行回收。所以 Tesla 电池回收已经启动，早已在进行，现在正扩大规模。

汽车的使用寿命相当长，所以实际上没有那么多电池可回收，因为通常得等上大约12年之类的、相当长的一段时间，电池才真正不再有用，有时是15年。所以回收一开始规模很小，但长期来看会变得非常可观。

所以显然是一些工厂画面。

每周只有50个电池包。对。所以对，这就是我刚才说的。其实根本没有那么多电池包可回收，因为没有。它们中的绝大多数仍在使用。

抱歉。

哦，对，没错。那东西在哪里？

所以，所以Mass Plan 3从根本上将围绕规模化展开，就是从全球宏观经济的角度审视整个问题，并提出，要实现完全可持续的经济，都需要哪些东西？因为我认为很多人并不、不知道，而且真正比如需要多大吨位的锂、正极、负极隔膜、电解液、电子器件。需要的所有东西是什么，为了向完全可持续的全球经济转型，需要做的所有事情是什么？

我认为，你知道，我们越早做到这一点，对地球就越好。而且我认为，只要把这一点阐述清楚，只要明确说明这绝对是可以做到的，而且正在做，我们只是希望尽可能快地完成。因为我觉得很多时候，我是说，我遇到外面很多已经失去希望的人。

他们认为已经太晚了，他们认为毫无机会，地球注定要完蛋。就像。地球并非注定要完蛋。好吧。对，对。

地球能够而且将会得到拯救。

对。

所以，除了电池方面的进步以及AI电子器件方面的进步，我们还做了很多工作来简化汽车结构，使其更容易制造。我们做的一件事就是制造出了有史以来最大的铸件。而且它们是非常复杂的铸件。因此，我们能够将171个金属部件从171个减少到2个，并在这个过程中使其更轻、刚性更强，行驶操控性更好，噪声、振动与声振粗糙度表现更好，防水密封性也更好。

所以它确实在各方面都更好。而且，对，所以，所以我们将继续改进这个、这个铸件。这证明了我们的材料团队和铸造技术的实力。所以这是真正重新思考汽车制造的整个方式。而且，对，与比如Model S甚至Model 3相比，我们目前取得了巨大的改进。对于现在的Model Y，我们使用的机器人数量大约是Model 3所用机器人的30%。

所以对，我们也改进了工厂的布局。因此，这座工厂算是一个、算是一个单体式工厂，接近于一个单一的整体式工厂，流程非常直接。

弗里蒙特。我们在弗里蒙特做了很多事情，但流程很复杂，并不是一个轻松的流程。所以我们真的在重新思考工厂，而且我认为Tesla真正的长期可持续优势将是制造。我以前提过这一点，但显然每个人都会有电动汽车。所有制造商都会有电动汽车，最终会比他们想象的花更长时间。但最终所有汽车都会自动驾驶。而最难复制的将是Tesla的制造技术。

所以，从长期角度来看，这实际上非常重要。

你知道，在思考公司的竞争力时，尤其是当这些公司是科技公司时，我建议看看最聪明的工程师想去哪里工作。也就是说，最聪明的工程师想去哪里工作，那家、那家、那家科技公司就最有可能成功。就像职业运动队一样，王牌选手都去哪里？好吧，那支队伍大概会赢。

所以我们投入了大量精力，确保世界上最优秀的工程师愿意在Tesla工作。坦率地说，有时Tesla是第1，有时SpaceX是第1。但这就像、像去年一样，但。而且，对于那些好奇并且可能想在SpaceX或Tesla任职的人，如果他们愿意，我们实际上允许员工从一家公司转到另一家公司。所以，如果你想花一段更好的时间从事电动汽车工作，花一段更好的时间从事火箭工作，你都可以。

这很酷。我们支持这样做。所以对，而且我们在工厂安全方面也做了很多改进。所以我们，我想我们相信自己现在拥有业内最好的工厂安全水平。所以对，我们很高兴能拥有，你知道，非常好的安全水平，并且还在不断改善。

而这其中有很多只是通过鼓励工厂内的员工提交安全改进建议来推动的。我们已经超过了今年每名员工提出3条建议的目标。而这确实彻底改变了安全改善工作。

你们不必在每一页幻灯片之后都鼓掌，除非你们真的想。但。

所以我们。人们对在Tesla工作非常感兴趣，去年收到了300万份求职申请，所以抱歉。

对，这是真的。

所以人们对在Tesla工作非常感兴趣。

现在，有些人可能偶尔遇到过无法工作的超级充电桩，但总体而言，我们超级充电桩的正常运行时间非常出色。我们只是努力让它极其顺畅。而这个。因为我们的超级充电桩始终联网，就像汽车始终联网一样，所以我们维修超级充电桩的反馈循环非常快。而且显然，我们会不断升级超级充电桩的能力。现在已经是第3版。

3。我们会开始推出第4版。我不知道，也许明年吧。所以就是。超级充电站会越来越好，而且，你知道，谁知道呢？这个。是啊，实际上，我不想透露这个。

只能说，超级充电方面正在发生一些很酷的事情。所以。

阿拉斯加。阿拉斯加。是的。

好的。我们的超级充电站数量基本上每年都会翻倍。所以，如果你认为某个重要的地方还没有超级充电站，那里可能很快就会有了。

我们在安全性方面也取得了很大进展。所以，我们的汽车已经是业内最安全的汽车。也就是说，在美国政府测试过的所有汽车中，我们的汽车造成伤害的概率最低。而且我们会实时更新这一点。所以我们，因为我们的汽车处于联网状态，这是一个很大的不同。其他所有汽车，除了极少数例外，都没有联网。所以制造商并不真正知道碰撞中发生了什么。但对于 Tesla，我们能够查看碰撞事故，看看怎样提高安全性，研究碰撞事故，改进碰撞结构。

我们还会改进安全带的收紧方式和安全气囊的展开方式。所以，在这些更新中，如果我们发现，哦，有一种稍微更好的安全气囊展开方式，可以提高碰撞事故中的安全性，我们实际上会通过无线更新来改进安全气囊气囊的展开方式，或者安全带预收紧的方式。而且，我们现在正开始加入 Tesla Autopilot AI，使其能够判断碰撞是否即将发生。

而且，如果它，如果它判断碰撞即将发生的概率达到99%以上，那么它就会启动安全带预收紧器并展开安全气囊，而绝大多数汽车的做法是，绝大多数汽车只有在碰撞正在发生时才能展开安全气囊。所以那样，那会使安全气囊的展开猛烈得多。但如果你能预判碰撞，安全气囊的展开就能比仅在撞击时展开好得多。

所以。

我们会看到 FSD Beta 非常迅速地增长，而这个，这个在行驶里程方面肯定会呈非常强劲的指数级增长。所以，我们现在已经超过4000万英里，我猜到今年年底会达到，我不知道，远超1亿英里。所以，而且我们仍然非常有望在今年让 FSD Beta 在北美得到广泛部署。所以，我，我应该说，到今年年底，基本上任何提出申请的人都能使用 FSD Beta。

所以。

所以，AI Day 第2部分。我想人们大为震撼，但那是在下个月月底，所以我们先不谈这个。如果你接受。这是。会有很多很酷的东西。所以。

这个。我有点惊讶，你知道，人们，或者至少外面的那些分析师，并没有真正理解 Optimus 机器人的重要性。

我的猜测是，从长期来看，Optimus 的价值会超过汽车。

事实上，我认为，它会彻底颠覆对经济是什么的整个概念。

当你不再面临劳动力短缺时。你知道，经济就是人均 GDP。如果你不受资本约束，那么经济规模就可以任意庞大。所以，是的，这有点疯狂。

总之，感谢大家投票。所以，你们的投票很重要，而且能与个人股东直接接触非常好。感谢你们投票支持我们的提案。

那么，下一个10年，我想知道10年后我们会拥有多少辆汽车。

10年前，我们拥有的汽车不到3,000辆。现在我们已经生产了300万辆。

3亿。

我会说，1亿是相当可行的。

如果10年后没有超过1亿，我会感到惊讶。然后还会有许多其他产品，其中一些你们听说过，一些则没有。

脱口而出。好的，我们收到了一些来自互联网的问题，它们被投票顶到了最前面。所以我会回答这些问题，然后我们再接受现场观众的提问。

Welcome.

Well, I feel welcome, so. Well, it's great to see everyone here.

Welcome.

So yeah, welcome to Giga, Texas.

All right, so let's see, I'll go over, kind of recount the year. It's been an amazing year. The Tesla team has done amazing work. And I have to say, like, one of the things that, like, what do you enjoy most in life? Really being able to work with a super talented group of people and, and manufacture those products and deliver them to people and make people happy from those products.

That's one of the best things in life.

So yeah, I'd just like to say what an honor it is to work with such a talented team at Tesla and that's the reason we've been able to do all these things. So, yeah, we are aiming to achieve a 2 million vehicle run rate by the end of the year.

This is the best crowd. I mean, I mean, I love you guys too. So anyway, thanks to the hard work of the Tesla team, we've already been able to achieve one and a half million unit annualized run rates. And depending on how the rest of this year goes, we, I think we might get close to, or we'll get Approximately at the 1.5 million mark and be exiting the year at a 2 million unit run rate. And, and then also worth noting, just recently in the last few weeks, we made our three millionth car.

So, You know, it's pretty wild to think like 10 years ago where things were, you know, 10 years August 2012, we'd made 2,500 roadsters and I think maybe a couple hundred model S's ish. But less than 3,000 cars. So 10 years ago we'd made less than 3,000 cars. And here we stand 10 years later having made over 3 million.

And actually this is one of the cleanest exponentials I've. You know, it looks like one of those sort of, you know, business plan presentation things that doesn't actually come true. But you know, you see it in the venture capital business plan situation. But it's actually true. That's the amazing part. And yeah, Yeah, Yeah, we're doing okay on demand, so thank you.

So, yeah, it's great here. I love California too, to be frank. I'll be clear.

Oh, come on.

We got great teams in California and we got a great team in China and Shanghai and a great team in Berlin and Germany and Europe.

Yeah.

And I thought it's interesting to look at the cumulative profitability since inception. And this approximately tracks to sort of mental pain, actually, This psychic damage that Green curve is approximately correct. But I'm just very proud of the fact that we've actually been able to produce more cash than we have spent and have positive retained earnings and be worth our salt, essentially. And that's a really big deal.

It's very hard.

I mean, this is a big deal and I think it's going to go up from here.

So you can see we obviously had some challenges there in 2017 and then, but since then our free cash flow generation has been very good and trending upwards. And this is really before autonomy really kicks in. We have autonomy to some degree, but solving autonomy will really be an amplification of free cash flow to a degree that is, you know, you run the numbers and it's like, wow, can it really be that crazy? But it could be that crazy.

And you know, this, this year, I swear.

We got anyone here in the FSD beta program.

Sweet. Yeah, no, totally, totally, totally. Okay, well, I thought, I thought.

All right, I thought you might ask that. So, because it's 10.13 we've been working on for a while and, and actually what's sort of happened is we've made some pretty significant architectural improvements. So it's really going to be more than a 10.12 to 10.13 release. It might, I don't want to speak too soon. It might qualify for 10.69.

So it's got to earn that, obviously. Can't just throw that out, you know, but it's, there's a lot of, a lot of improvements and especially in complex left turns and yeah, we're going to solve Chuck's turn. Yes, yes, 100%, Absolutely. You know, we have a lot of respect for valid criticism, so. And yeah, so I think we're at roughly 90% success rate with your turn. So, yeah, we're almost at 100. So it's looking good. And yeah, so I mean, I'm hopeful it might be a week next week.

So, yeah, two weeks.

Yeah, it's working well for me.

So, yeah, teams like working literally seven days a week and making major improvements. And it's really interesting because we're effectively solving an important aspect of artificial intelligence, real world AI for self driving, which when you think about it, kind of is what's needed to solve the. To solve self driving. Because how is the road system designed? It's designed for a biological neural net and eyes. And so naturally the thing that would therefore work, the silicon analog is, is cameras and silicon neural nets.

And so sort of, sort of by accident, we're actually solving an important, I think, very useful element of artificial intelligence. And I definitely want people out there, you know, talented people who are working on AI to consider working at Tesla, because I think we're solving just a very important part of AI and one that can ultimately save millions of lives and, and prevent tens of millions of serious injuries by driving just an order of magnitude safer than people.

There used to be a time back in the day where we'd have, yeah, this is super important.

There used to be a time when we'd have elevator operators and it was normal to have elevator operators and have like a big relay and stuff. But you know, every camp, every now and again you make a mistake and sure, somebody in half. So I'd be like, okay. Then we went to automated elevators and you press a button and you go to your floor and it just works. And, and that's kind of how it's going to be in the future with cars and.

Yeah, so.

And then we'll have lots of interesting things to say on AI day at the end of next month. So I'll leave that to next month. Yeah. So, you know, when we started out here, obviously we were told, we were told electric cars were impossible. And even if really, if you could make, you know, an electric car with a couple hundred miles range, then nobody would buy it anyway because people just love gasoline cars. So, you know, when we started out, it was, it was dumb, dumb to start a car company and then dumb square to do an electric car company.

And we were told, you're never going to make money, et cetera. And we didn't for a while, but now we have the highest operating margin in the whole industry.

Exactly, exactly. It says there's not just a car company. Tesla is many companies in one. And we're as much a software company as we are a hardware company. And that's really going to be obviously essential for the future. And software, both in the car and obviously with neural net training, but also software in the factory as well. So you can think of a factory as a giant cybernetic collective. So factory is just an enormous cybernetic collective of humans and machines and software.

And the better the software is, the better that cybernetic collective works.

I don't think other OEMs think like that, but that's what it is.

So, you know, there's a lot of talk of competition among electric vehicles, but really the EVs are electric vehicles taking market share from gasoline cars. So.

The.

And from a Tesla standpoint, we obviously welcome this and we're very excited to see that the big car companies are embracing electric vehicles. If you were to rewind their press releases to five years ago, that was not the case. They were, you know, not saying nice things about electric vehicles five, five years ago. But now I believe almost every major car company in the world has embraced electrification and agrees that it is the right path.

And this is really what we set out to do with Tesla. You know, it was not to like, you know, get maximum market share or anything. It was really try to get the, to show the auto industry that it was possible to go electric and that if you made compelling electric cars, people would buy them.

And that's what's happened. And I think that's really profound.

Also, when our competitors advertise for electric vehicles, every time they do that, our sales go up.

It's pretty funny. So, yeah, but we do, we have open sourced all our patents so they can use our patents for free. And so we're, you know, helping out. And I think it's sort of a mutual prosperity thing and it's, it's good. So.

Yeah, so Model Y definitely don't want to count chickens until they're hatched, but I think we're tracking to have Model Y be the highest selling vehicle by revenue this year and the highest by unit volume next year.

Still a lot of work to do. Like these, these factories don't just magically work.

So still a lot of work to do in Berlin and here in Austin to spool up these two gigafactories. And we've got different supply chains. And so it's always. There's a host of problems. None of the problems are individually all that difficult, but there's like 10,000 of them. So it's, the rate of production is like, how fast can you solve the 10,000 problems essentially? And we're solving pretty fast, but a lot of work to do.

And we might be able to announce another factory location later this year.

Wait, wait, wait, wait. Where should we, okay, where should we build it?

Okay, we got a lot of Canadas.

No, I'm half, I'm half Canadian, so maybe I should, you know, but yeah, well, I think, you know, ultimately we'll end up building, I don't know, probably at least 10 or 12, 10 or 12 gigafactories. And they will, there will be really gigafactories, like output, you know, aiming for output, average output of like 1 and a half to 2 million units per factory, which is enormous. So.

And our Fremont factory in California is already the highest output factory In North America.

Sorry.

Well, I think we'll have a friendly competition between Texas, California, Berlin. Shanghai is hard to beat. I have to say. Shanghai is pretty. Our Shanghai team is just awesome. So they're.

Yeah, great, great team there. So with respect to, you know, sometimes we get this sort of, you know, these bogus attacks of like EVs are somehow worse than gasoline cars, which is not true. The average life cycle emissions of an EV are dramatically lower than that of a gasoline car. I mean, kind of telling you things, know. But you know, every now and again you think surely this nonsense has been put to bed but pops up again.

But it's obviously electric cars is dramatically lower CO2 lifetime than, than any. Than a, than a gasoline car. So anyway, that's kind of obvious now. Now this, this is a thing that I think is super cool. If you add up all the energy produced over the last 10 years by Tesla solar panels, it is more energy than was used to manufacture all of our cars and charge all of our cars at superchargers and at home.

This is like, And I mean the mission of Tesla is to accelerate sustainability and I think this is really amazing. More energy produced than was used in making the car and charging them over billions of miles. And we're going to keep obviously increasing our solar activity and vehicles and try to keep these on par because the three elements of a sustainable energy future, sustainable energy production primarily with solar and wind.

And then stationary battery packs to store the sustainable energy because of its wind and solar are intermittent. And then electric transport. And if you have those three pillars, you have a fully sustainable future. And yeah, so that's. Yeah.

And obviously battery packs are various recyclable. They are, you can think of it like high grade or do you want to, you know, crunch up a bunch of rocks or crunch up a battery pack which is like super high grade ore. So it's a no brainer to recycle battery packs. And we are already recycling, I should point this out. So sometimes people wonder what's happening. We're already recycling at over 50 a week in Nevada. So Tesla battery recycling is already underway, has been underway and is scaling up now.

Cars are lasting quite a long time, so there's not that many batteries to actually recycle because you kind of have to typically wait like 12 years or something like quite a long time before the battery actually is no longer useful, sometimes 15 years. So recycling starts off small, but then it becomes very significant long term.

So some factory footage obviously.

Just 50 packs a week. Yeah. So yeah, that's what I was saying. Like there's actually just not that many packs to recycle because there's not. The vast majority of them are still in use.

Sorry.

Oh yes, exactly. Where is that thing?

So, so Mass Plan 3 is going to be fundamentally about scaling, just looking at the overall problem from a global macroeconomic standpoint and saying what, what are all the things that are needed to achieve a fully sustainable economy? Because I think a lot of people don't, don't know and really like what tonnage of lithium, of cathode, anode separator, electrolyte electronics. What are all the things that are needed that, what are all the things that need to be done in order to transition to a fully sustainable global economy?

Which I think, you know, the sooner we do that the better for the planet. And I think just articulating that and just making it clear that this is absolutely doable and it is being done and we just want it to be done as fast as possible. Because I think a lot of times, I mean, I meet a lot of people out there who have lost hope.

They think it's too late and they think there's no chance and the Earth is doomed. Is like. It's not doomed. Okay. Yeah, Yeah.

Earth can and will be saved.

Yeah.

So in addition to battery advancements and electronics advancements in AI, we've also done a lot to simplify the structure of cars to make it easier to manufacture. And one of the things we've done is create the largest castings that have ever been done. And they're very complex castings. And so we're able to take 171 pieces of metal and go from 171 pieces to two and in the process make it lighter, stiffer, with better ride handling, better noise, vibration, harshness, better sealing against water.

So it's really better in every way. And yeah, so, So, and we're going to keep enhancing the, the casting. So this is a testament to our materials team and to our casting technology. So really rethinking the whole way in which a car is made. And it's, yeah, it's a gigantic improvement we have at this point from going from say Model S or even Model 3. We're at about 30% of the robots used for Model 3 from a current Model Y.

So yeah, We've also improved the layout of the factory. So the factory is sort of a, sort of a single, close to a single monolithic factory with a very straightforward flow.

Fremont. We do a lot in Fremont, but the flow is complex and it's not an easy flow. So we're really rethinking the factory and I think the really long term sustainable advantage of Tesla will be manufacturing. I mentioned this before, but obviously everyone will have electric cars. All manufacturers will have electric cars and eventually take longer than they think. But eventually all cars will be self driving. And the thing that will be hardest to replicate is Tesla's manufacturing technology.

So this is actually very important for a long term standpoint.

You know, when thinking about the competitiveness of companies, especially if the companies are technology companies, I recommend looking at where the smartest engineers want to work. This is wherever the smartest engineers want to work. That's going to be that, that, that technology company is going to be the one that is likely to succeed. Just like if it's a pro sports team, where are the ace players going? Okay, probably that team will win.

So we put a lot of effort into ensuring that the best engineers in the world want to work at Tesla. And frankly, sometimes Tesla's number one, sometimes SpaceX number one. But this is just like, like last year, but. And we do actually, for those curious and maybe want to work at either SpaceX or Tesla, we do allow people to move from one company to the other if they would like. So if you want to spend a better time working on electric vehicles, better time spending working on rockets, you can.

That's cool. We support that. So yeah, And we also made a lot of improvement with factory safety. So we, I think we believe we now have the best factory safety in the industry. And so yeah, we're excited to have, you know, very good safety and getting better.

And a bunch of this is driven by just encouraging people within the factory to submit ideas for safety improvement. And we've passed our goal of three suggestions per employee this year. And this really is a game changer for improving safety.

You don't have to clap after every slide unless you really want to. But.

So we. There's a lot of interest in working at Tesla with 3 million job applications last year, so sorry.

Yeah, it's true.

So a lot of interest in working at Tesla.

Now some people may occasionally have encountered a supercharger that didn't work, but in general the uptime of our superchargers is extremely good. And we just try to make it super smooth. And the. Because our superchargers are always connected like the car is always connected, our feedback loop for fixing a supercharger is very quick. And obviously we keep upgrading the supercharger capability. We're now at version Three.

Three. We'll start rolling out version four. I don't know, maybe next year. So it just. The superchargers get better and better and, you know, who knows? The. Yeah, actually, I don't want to give away the.

Let's just say that there's some cool stuff happening on the supercharging front. So.

Alaska. Alaska. Yes.

All right. We're basically doubling our supercharger count every year. So if there isn't a supercharger in some place that you think is important, it probably will be there soon.

We've also made a lot of progress on safety. So our cars are already the safest in the industry. So we have the lowest probability of injury of any cars ever tested by the U.S. government. And we update this in real time. So we, because our cars are connected, this is a big difference. All the other cars, with rare exception, are not connected. So the manufacturers don't really know what happened in a crash. But in the case of Tesla, we are able to look at crashes and see how can we improve the safety, look at the crashes, improve the crash structure.

Also we improve how the seat belts tension and how the airbags deploy. So in these updates, if we figure out, oh, there's a slightly better way to deploy the airbags to improve the safety in a crash, we'll actually do an over the air update to improve the way that the airbag airbags deploy or the way that the seat belt pretensions. And we're now starting to include our Tesla autopilot AI to be able to see if a crash is about to occur.

And if it, if it sees that a crash is about to occur with 99 plus percent probability, then it will activate the seat belt pretensioners and deploy the airbags as opposed to what the vast majority of cars do, is the vast majority of cars are only able to deploy airbags when the crash is happening. And so that's, that makes the airbag deployment a lot more violent. But if you can anticipate the crash, the airbag deployment can be much better than just impact.

So.

We'll see FSD Beta grow very rapidly and this, this is definitely going to go very exponential in miles driven. So we're now at over 40 million miles and I suspect by the end of this year we'll be, I don't know, well over 100 million miles. So, and we're still tracking very much to have widespread deployment of FSD Beta this year in North America. So I'm, I should say if basically FSD Beta will be available to anyone who requests it by the end of this year.

So.

So, AI Day Part 2. I think people were blown away, but that's at the end of next month, so we'll leave that. If you accept. It's. There's going to be a lot of cool stuff. So.

The. I'm sort of surprised that, you know, people, or at least like analysts out there are not really understanding the importance of the Optimus robot.

My guess is Optimus will be more valuable than the car, than long term.

And in fact, it will, I think, turn the whole notion of what's an economy on its head.

The point at which you have no shortage of labor. You know, economy is GDP per capita. If you do not have a capital constraint, then the economy just can be arbitrarily huge. So, yeah, it's sort of crazy.

Anyway, thank you for voting. So your vote matters and it's great to have direct contact with individual shareholders. And thank you for voting to support our proposals.

So the next decade, I wonder how many cars we'll have in 10 years.

10 years ago we had less than 3,000 cars. Now we've made 3 million.

300 million.

I'd say 100 million is pretty doable.

I'd be surprised if it's not over 100 million in 10 years. And then many other products, some of which you've heard about, some of which you have not.

Blurted out. All right, so we've got some questions from the Internet that were voted to the top. So I'll answer these questions and then we'll take just questions from the audience.