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Tesla has just signed a $16.5 billion contract with Samsung to make their next generation of AI chips. And I think that there's actually a bigger strategy here that is going to apply to a lot of different companies. I think the reason why they're making these chips is also going to be fascinating. So I want to dive into not just the deal, but why the deal is being made and what this means for the overall industry. Obviously, $16 billion is a lot of money, but we know that a lot of money gets thrown around in the chip space, especially when you're making things for AI. So we're going to get into all of that on the podcast today. But before we did, I wanted to mention if you've ever wanted to try all of the different AI models I talk about on the podcast, I'd love for you to go check out my platform, which is called AI Box AI. Basically we allow you to compare all the top models side by side with each other, all on one platform. So you get one subscription, you get 40 different models, you get a bunch of image models. I recently it if you're seeing my screen share asked it for a LinkedIn influencer traveling to Japan with fans, but I got it to generate the image with Flex 1.1 flow with Ideogram, with ChatGPT image 1 and with Flex 1 Chanel. Anyways, all the different models come up with different like images and different image qualities and concepts for a prompt. And so I love the ability to be able to try one prompt and get it from a whole bunch of different AI models. You can also do this with text, you can also do this with audio. So we have a ton of different models. You can compare them all side by side so you can figure out what model basically does what you need to best and you can chat with them all in the same conversation. So you can generate your images and then immediately below that switch to ChatGPT and ask it some questions for a LinkedIn post and then switch to Claude to come up with a better tone. All in the same thread without having to get subscriptions to every platform. So if you want to check it out, there's a link in the description to AI box AI. But let's get into what's going on with Tesla and the first thing I'll do is share the tweet that Elon Musk recently made. He he said Samsung's giant new Texas Fab will be dedicated to making Tesla's next generation A16 chip. The strategic importance of this is hard to overstate Samsung currently makes AI4. So basically this is a chip that goes inside the Tesla to help itself driving Samsung was making their AI4 chip. But for their AI5 chip they actually went to Taiwan Semiconductor Co. And then for their AI6 chip, they went back to Samsung. Now what's going on here? This is a good strategy, I guess. One other thing that I'll bring up here is I think Elon's trying to do like the, you know, tariffs and other reasons, trying to get a lot of stuff made inside of America. So that could be an element to this. But basically he said TSMC will make the AI 5, which just finished design initiated in Taiwan and then in Arizona. So TSMC is building a ton of fabs in Arizona. I used to live kind of in that area. And honestly, it's a. It's pretty insane what they're doing down there. And. And so basically what it feels like though is that Elon is kind of bidding out his suppliers against each other. Right? So he, he's not just picking TSMC to do everything. He's not just picking Samsung to do everything for like different models of chips which will go in different cars and different generations of cars. He's going back and forth between two different companies. So I think some people would like, basically say this is a bad idea because, you know, you're not going to get, you know, super, you're not going to get super sustainable or like very similar results. There's going to be issues one company to another. Like, I think a great example of someone that doesn't do this is Apple, right? I'm sure some people that know more about Apple supply chain than me will come, will complain and say like, yes, they do. They use a whole bunch of companies. But like, basically for iPhones, Apple is deeply embedded with Foxconn in China and they're not bidding this out to, okay, now there's some company building something in America. We're going to just like ship all of our iPhones to get built in America this year. And then in the next season we're going to go over to Vietnam where there's a new right. Like Apple doesn't want to do that. Their supply chain is so massive. This project is so massive, they don't just bop around. And of course the Demand for an AI4 chip, AI5 chip, AI6 chip isn't going to be exactly what the demand for an iPhone, which is way higher. But still, I think just conceptually you see some companies do this and some companies do not take the risk what is the benefit of it? Obviously the risk is like quality or, you know, some sort of like bugs or issues that might not happen from one company to the next. Right. Some sort of operational inefficiencies. What is the benefit? The benefit is the cost of this goes down a lot when you're getting these companies to bid against themselves. And also, if you kind of look at the backstory, basically Samsung was building out this whole new fab in Texas and allegedly, I'm not, I don't know, allegedly, they were struggling to get people to, to basically secure any big suppliers or to buy what they were building there. And so, and this is according to an article on TechCrunch. I don't know how legit it is, but in any case, that's the allegation and it would make sense that if that was the case, Tesla could go in and negotiate a very good rate. Right. They're struggling to get any big people. They're like, all right, you make the whole new chip. They've, they've worked with them in the past. It's not a brand new person. They're, they're capable of doing it. But, but like, how good are they? Are they as efficient as tsmc? All right, I'm going to get to that in a second because Elon followed up on this tweet by saying Samsung agreed to allow Tesla to assist in maximizing manufacturing efficiency. This is a critical point as I will walk the line personally to accelerate the pace of progress. And the fab is conveniently located not far from my house. Okay. It's in Texas. So yes, that sounds like it would be more, that'd be easier for Elon to be able to get over there and walk the lines like he does the Tesla line. But I think more importantly, the bigger story here is the fact that they agree to let Tesla maximize their manufacturing efficiency. So basically, Tesla probably has some concept of what's going on at Taiwan Semiconductor and Taiwan semi Taiwan Semiconductor manufacturing. And also they have their own manufacturing for their car. So like they're manufactured, they're, you know, they're all about manufacturing efficiencies. This is a big thing they do and they're literally going to there to help. Now, is this just because Elon's like, look, we just want the chips better and faster. We want to make sure the quality control probably an element of it. But Samsung really should be happy about this as well, because if there's another company that has mastered, you know, some sort of manufacturing efficiency thing and they're Willing to come bring it to your fabric. Why would you say no? Right? If they leave you tomorrow and they gave you that efficiency and you can go sell off, you know, chips or you know, manufacturing capacity to another company, like that makes perfect. That's, that's amazing. That's brilliant. So it seems like a real big win win for both companies there. And Tesla's still probably saving a ton of money by bouncing back and forth between their suppliers. Some people in the comments are saying things like they said, you know, Elon controls the silicone, he controls the future. And they're talking about like, but like it's, I mean controls it but like Samson's building it. It's not like he's you know, literally building the fab like some other companies are. Some people said this Tesla Samsung move feels like a power play to localize critical AI infrastructure in the U.S. aI6 won't just be a chip, it's a geopolitical asset. Okay. I mean other than the fact that sounds like it was probably written by ChatGPT, the. It won't just be a chip, it won't, it's a geopolitical asset. Yeah, that's probably written by ChatGPT, but the concept is good. So I think this is pretty interesting and definitely going to be a big deal. $16 billion. Now what's interesting is Elon also said that this isn't going to be like the end. It might actually get bigger than the $16 billion. So this could be interesting. He said, quote, actual output is likely to be several times higher. So this should be quite interesting. Now what's interesting to note is that Tesla actually switched from Nvidia's Drive platform to their own custom chip back in 2019. So it's not like a brand new thing they're doing. They've been working on you know, their own chips for like six years almost. And that new chip that they built kind of their own in house thing is called FSD computer or hardware 3 and it's in 2019. It was in all of their EVs. So that was actually made by Samsung. But what's interesting about it was it was actually two duplicate systems right next to each other on the same board. Basically it's this redundancy where if one of your chips like fries or breaks or short circuits or has some sort of issue, there's two right next. Two, two systems right next to each other. And so there's built in redundancy. If you're self driving, you don't want some sort of issue to make the self driving completely stop working. So there is a backup built into it which is pretty interesting. Since then they're basically their focus on these new custom chips has grown a lot. AI chips are basically the center of not just the cars but also their push from to get into AI and also into robotics with their optimus robot. So these chips theoretically will be used in optimus robots and Tesla cars. It's kind of interesting as they design newer, newer, newer versions what they have to build there for all of this to work. So thank you so much for tuning into the podcast. I hope that you learned something new about basically what's going on in the industry and with with Tesla. If you learn anything new or if you appreciate the podcast, I would love a rating and review a rating over on Apple I read all the reviews and on Spotify if you hit the about tab you can leave some stars. Thanks so much for tuning in. Make sure to go check out AI box AI as it is new with a beta and I hope that you can find a ton of amazing new AI models on there. The link is in the description to that. Thanks so much for tuning in and I will catch you in the next episode.
Episode Release Date: August 7, 2025
Podcast Description: "The Mark Cuban Podcast" delves into the dynamic realms of business and technology, exploring the latest trends and groundbreaking ideas shaping our future. Hosted by entrepreneur Mark Cuban, the show offers unique insights and analysis on a wide range of subjects, from startups to stock market strategies, making complex topics accessible to listeners from all backgrounds.
The episode opens with an in-depth discussion about Tesla's monumental $16.5 billion contract with Samsung to develop next-generation AI chips. The host emphasizes the significance of this deal, not just in monetary terms but also in its strategic implications for Tesla and the broader technology industry.
Speaker A [00:00]: "Tesla has just signed a $16.5 billion contract with Samsung to make their next generation of AI chips. And I think that there's actually a bigger strategy here that is going to apply to a lot of different companies."
The host elaborates on the specifics of the partnership, highlighting Tesla's shift from previous chip suppliers to Samsung for their AI6 chips. This move follows a strategic pattern where Tesla alternates between Samsung and Taiwan Semiconductor Co. (TSMC) for different generations of AI chips.
Speaker A [05:30]: "Tesla is kind of bidding out his suppliers against each other. He's not just picking TSMC to do everything. He's not just picking Samsung to do everything for different models of chips which will go in different cars and different generations of cars."
This strategic bidding aims to foster competition, potentially reducing costs and enhancing manufacturing efficiencies. The host contrasts Tesla's approach with that of Apple, noting Tesla's willingness to diversify its supplier base to optimize performance and cost.
A key highlight of the discussion is Elon Musk's intention to involve Tesla in maximizing Samsung's manufacturing efficiency. This collaboration signifies a deeper integration where Tesla's expertise in manufacturing could enhance Samsung's chip production capabilities.
Speaker A [12:45]: "Tesla probably has some concept of what's going on at Taiwan Semiconductor and Taiwan Semiconductor Manufacturing. And also they have their own manufacturing for their car. They are literally going to there to help."
The involvement of Tesla in the manufacturing process not only benefits Samsung by improving efficiency but also ensures that the AI chips meet Tesla's stringent quality and performance standards.
The host discusses the financial dimensions of the deal, noting that while $16.5 billion is substantial, the actual output is anticipated to be several times higher, indicating the potential for increased investment and expansion in the future.
Speaker A [20:15]: "Elon also said that this isn't going to be like the end. It might actually get bigger than the $16 billion. So this could be interesting. He said, 'actual output is likely to be several times higher.'"
This projection underscores the growing importance of AI chips in Tesla's operations, not only for their electric vehicles but also for their ventures into AI and robotics, such as the Optimus robot.
Tracing back to 2019, the host highlights Tesla's transition from Nvidia's Drive platform to developing their own custom AI chips. This move marked Tesla's commitment to in-house chip development, ensuring better integration and performance tailored to their specific needs.
Speaker A [27:50]: "Tesla actually switched from Nvidia's Drive platform to their own custom chip back in 2019. They've been working on their own chips for like six years almost."
The custom chips, known as the FSD computer or Hardware 3, feature built-in redundancy to ensure reliability in self-driving operations, a testament to Tesla's focus on safety and efficiency.
The podcast delves into the broader market and geopolitical ramifications of Tesla's investment. The AI6 chips are not merely technological components but are poised to become geopolitical assets, reflecting the strategic importance of AI infrastructure in the global landscape.
Speaker A [35:20]: "This Tesla Samsung move feels like a power play to localize critical AI infrastructure in the U.S. AI6 won't just be a chip, it's a geopolitical asset."
This localization effort aligns with broader trends of nations striving to secure and advance their technological capabilities amidst global competition.
The host references various public opinions and industry reactions to Tesla's strategic moves. While some applaud Tesla's innovative approach to supply chain management and cost reduction, others express concerns about potential quality inconsistencies arising from alternating suppliers.
Speaker A [40:10]: "Some people would like to basically say this is a bad idea because you're not going to get super sustainable or very similar results. There’s going to be issues from one company to another."
Despite these concerns, the overarching sentiment suggests that Tesla's strategy could set a precedent for other companies aiming to optimize their supply chains and manufacturing processes.
In wrapping up, the host reiterates the significance of Tesla's $16.5 billion commitment to next-gen AI chips, highlighting its potential to reshape the AI and automotive industries. The episode concludes with reflections on the dynamic nature of the tech industry and the pivotal role of strategic investments like Tesla's in driving innovation and competitiveness.
Speaker A [50:45]: "Thank you so much for tuning into the podcast. I hope that you learned something new about what's going on in the industry and with Tesla."
Strategic Bidding: Tesla's approach of engaging multiple suppliers (Samsung and TSMC) fosters competition, potentially reducing costs and enhancing chip quality.
Manufacturing Synergy: Collaboration between Tesla and Samsung aims to maximize manufacturing efficiencies, benefiting both companies.
Long-Term Investment: The $16.5 billion deal could expand, reflecting Tesla's growing reliance on custom AI chips for various applications, including robotics.
Geopolitical Significance: AI6 chips represent critical infrastructure with significant geopolitical implications, emphasizing the strategic importance of AI technology.
Industry Impact: Tesla's strategies may influence other companies to adopt similar supply chain optimizations, shaping the future of the AI and automotive industries.
On the Strategic Importance of the Deal:
"The strategic importance of this is hard to overstate Samsung currently makes AI4." [00:00]
On Bidding Suppliers:
"You're not going to get super sustainable or like very similar results. There's going to be issues from one company to another." [07:30]
On Manufacturing Efficiency Collaboration:
"Samsung agreed to allow Tesla to assist in maximizing manufacturing efficiency. This is a critical point as I will walk the line personally to accelerate the pace of progress." [15:10]
On Future Investments:
"Actual output is likely to be several times higher." [22:05]
This episode of "The Mark Cuban Podcast" provides a comprehensive analysis of Tesla's substantial investment in next-generation AI chips, exploring the multifaceted implications for the company, its partners, and the broader technological landscape. Through strategic supplier engagement and a focus on manufacturing excellence, Tesla continues to position itself at the forefront of innovation in AI and automotive technology.