B (3:37)

Okay, Jason, I, so Travis just laid down some, some knowledge there that is important. I'm going to take the question to you. He said that this is a conservative number, 52 to $56 billion in capital spending. That's conservative. So you tell me, is this the floor of capital spending here right now?

C (3:59)

I mean, I don't think we completely know the answer to that because of how the demand side's going to play out and it's going to take time and just, I mean, to build more into like what this number means for context. You guys remember back five or six years ago when the company went from like 50 billion to 70 to $100 billion in capex over a five year period, right. So we're more than double that in a single, in a single year on an annualized basis. So this is a big, big number. But I think it's more we got to, it's yes, AI is driving accelerated computing writ large is driving it, but it's, it's also a company that has fully taken to heart that they do need to expand geographically. They need to de risk from the Taiwan issue. Right. So that's a big part of this too. You, Europe is going to continue to be a target for expansion in addition to Arizona and Japan. So I think that there's more to it. There's the geopolitical part of the story that's also tied to it. That's more than just the AI demand. If we continue to see monetization, Travis, we're going to talk about Alphabet and how well it's doing in the story of AI and monetization of it with regular people that maybe this does turn out to be the floor, but this might be a peak year for a Little while.

A (5:12)

The other thing that we should mention is that Taiwan Semiconductor is seeing better operating results from some of those nine non Taiwan factories than I think anybody thought. So if they can, if they, maybe they're more efficient in Taiwan because you have a hub of knowledge in particular. But if they can build a plant in Arizona and it's maybe a couple of margin points worse, but it's not terrible, then it becomes a real factory. That's real diversification. It's not just token diversification. I think that was the worry with some of the spending before now. Now the business becomes, I think de risked. And that's one of the reasons the multiple has gone up as much as it has. You remember a few years ago, Warren Buffett took a stake and then he suddenly sold it because he was like, I didn't understand the risk. I think this is a much less risky company partly because these cap numbers.

B (5:56)

Are so big because of it. Just, just to be clear on this, you're talking about geographic diversification is a, is a de facto de risking.

A (6:04)

Exactly. If, if your biggest risk is geopolitical risk that literally where everything that you have, all of your manufacturing could potentially be destroyed, that's a massive risk that investors have to think about it. The less you have to think about it, the better it is.

B (6:18)

All right, Jason, I'm going to come to you first on this because we had a debate yesterday. So again recording on Friday, Thursday morning show there was a debate about which is the more important company when you think about the AI value chain. So we just had some spectacular numbers from Taiwan Semiconductor. But we know that Nvidia is a heavy in this, in this space too. So I want to know from each of you, starting with you Jason, which is the one that has the greater impact on the AI value chain? And before you answer, I'm going to give you both some facts about each of these companies. So right now, Taiwan Semiconductor says about 58% of their total revenue is driven by high performance compute 3 nanometer or below. So that that's not entirely AI chips, but that's a lot of AI chips, 58%. They also have a chokehold on the packaging called COAS that's used for, for AI. They also control 72% of the world's chip foundry production. That is crazy. And the thing that's more crazy is that Samsung at number two has 7% of the market. That's outrageous. So I mean all of that is amazing. But Nvidia is no slouch. So let's talk about Nvidia, they hold an estimated 90% plus market share in data center AI chips. And in the third quarter of fiscal 2026, that's the last quarter they reported fiscal $51.2 billion in data center revenue which was up 66% year over year. They also have control of, they might be the only one that does full stack system design for AI because they have the CUDA software for programming GPUs and CPUs for these AI systems and they have visibility and I'm not sure if I should believe this or not, but Jason, you tell me they have visibility into what they say is 500 billion. So a half a trillion dollars of Blackwell and Vera Rubin revenue. These are the two most recent chip sets coming out of Nvidia right now. And Then longer term, 3 trillion to 4 trillion in annual AI infrastructure build by the end of the decade. So again Jason, these are just outrageous numbers. You tell me which one is the more important participant in the AI value chain? Is it Taiwan, semi or is it Nvidia?

C (8:57)

Nvidia is definitely the straw that stirs the drink, there's no doubt about that. If you think about the importance of its chips and software, as you said, across the full value chain, there's no getting around that. So that goes, goes back to all of the companies that are building AI, that are selling AI products, the companies that are using AI in their businesses. All of those things do come back to Nvidia. Now here's the thing. The straw that stirs the drink, that's was, that was, that phrase was coined by Reggie Jackson. Reggie Jackson hit, I remember he hit a ton of home runs.

B (9:35)

Yes he did.

C (9:36)

And if you look at what Nvidia has done is extending its reach as a, as a capital provider across the ecosystem. And I don't think we should discount how important that is. But like Reggie Jackson, there's also the potential for a ton of striking out to happen here as it is provided capital across other businesses that are going to need to survive on their own. And also the capital sources that they provided may or may not lead to a lot of that capex spending and future revenue that the company is is expecting. Now TSMC, on the other hand, for me to say that TSMC is more important and maybe prime to be the better business is really predicated on Nvidia also being continuing to be really important business and doing really, really well. Tsmc. If Nvidia really strikes out and as a business we see kind of things start to come unraveled, TSMC is going to suck. It's not going to be good. But I think what we're starting to see is other businesses are starting to show that there is a path forward to build AI that doesn't necessarily. All roads don't necessarily have to lead to Cuda and Nvidia. It's about a year ago that Deepseek like the big thing happened there that kind of rattled the western AI capital markets when we saw that there is a path to build really good efficient AI and LLMs, they can go beneath Cuda that you don't have to necessarily use CUDA to build those systems. So Alphabet I mentioned earlier is beginning to sell their TPUs. So as we're starting to see more specific use case architecture, GPUs aren't necessarily always going to be the answer. So as we start to see some more of these products come into the market, AMD starting to put some legitimate products into the market as well. I think that there is a case that even if Nvidia continues to win, maybe it's just that maybe it's not 90% of the market. At the end of the day, no matter who wins, TSMC wins. It is the road that everybody has to take to get to AI. And I don't think we can under appreciate that its incentives are, are built for trust. It has scale that makes it cheaper for, for everybody that's trying to build hardware and that needs hardware even at a scale that it can make more money than anybody else that it's competing with.

A (12:11)

Let's keep this really simple, okay?

B (12:13)

Do it.

A (12:14)

If TSMC doesn't exist because your question was who, who is the more important company? Yes. TSMT doesn't exist. None of Nvidia's products as they currently exist are going to exist. That makes TSMC the more more important company. But the other thing that I want to highlight is the risk profile of these companies are very, very different.

D (12:32)

Yeah. Right.

A (12:33)

61% of Nvidia's revenue comes from four customers.

B (12:39)

Four.

A (12:40)

So that's companies like Microsoft, Meta, Oracle, Alphabet, probably the four. You know, some somewhere around there.

B (12:48)

Yeah. We don't know exactly, do we? Right.

A (12:50)

We don't know exactly who the names are but it's, it's the big tech companies.

B (12:53)

Yeah.

A (12:54)

None of those companies wants to be reliant on Nvidia long term. They are all trying to figure out a way out from under Jensen Huang's thumb. TSMC has I think it's over a thousand customers. They're, they have a much more stable business because If Nvidia doesn't exist. Yes, Jason's right, it's going to suck for tsmc. But they got lots of other customers that would be happy to take that capacity. And so it's not going to be game over for them if TSMC doesn't exist. I mean, Nvidia basically doesn't exist as we know them today.

B (13:34)

I'll tell you one that's already fighting Nvidia to get some TSMC time and attention. That would be Apple. Apple is getting crowded out by Nvidia right now inside TSMC factory. So that's interesting. Okay, so you both agree that TSMC is, is at the head of the AI value chain here. Last question on this and then we're going to move to our second segment. Because Jason, you mentioned something interesting and I had forgotten about this, even though it wasn't that long ago, the way Deepsea got around cuda. So again, CUDA is the programming language. It's what makes the Nvidia solution a full stack solution. They give you the software to run the code that runs on the GPUs that makes AI happen. But what Deepsea did is they dipped into assembly language. They went like you said, they went underneath Cuda and then they reprogrammed their GPUs to run without having to use Cuda. They kind of got around Nvidia. So give me your prediction, starting with you, Travis. How easy is it going to be or will we see it in 2026 that more companies get around Cuda such that they choose to say like, you know what, I don't need Nvidia anymore. What is the traction, put another way that non Nvidia GPUs and CPUs get in 2026.

A (14:55)

I think what we're going to need to watch is inference, not necessarily the building the models. And I think that's where Nvidia really has an advantage. And so that's why you have to build these massive systems that are, you know, where Blackwell has really excelled. But you know, is it a little cheaper, maybe a little bit more accessible to build with an AMD inference gpu, maybe a TPU like like you mentioned earlier. That's what I think we're going to see more traction is these companies that are building out their inference infrastructure things where they can, they can optimize a little bit more where cost is a little bit more important. They're not going to want to pay Nvidia 80, 90% gross margin for the those chips. They're happy to take a little bit a cheaper chip that maybe breaks a little bit more often, maybe is a little less performant, but from a total cost of ownership perspective is going to be better for them long term.

B (15:44)

Jason, what do you think? What's your, what's your guess, your prediction?

C (15:47)

I don't know that 2026 is the year. I think it's going to take longer than that because I think we've got to get to a point where monetization is more clear because right now this is just a land race. This is a land grab. Companies are trying to establish themselves as having dominant products that answer lots of problems and that there's a path for not just people, but businesses to buy that those AI capabilities or the SaaS companies to start integrating AI based on those models. So I think it's just too early for that. But we are going to see, I think what we are going to see is we're going to see all of the big players are going to continue to spend a lot of money with all of these other potential solutions to try to figure it out. But I think we're still a few years away before we see a clear alternative answer to, to, to Cuda and Nvidia.

B (16:35)

Okay, 2026, not the year. Up next, we give some honor to Dr. Martin Luther King Jr. And we talk about the best corporate citizens. You're listening to Motley Fool Money.

D (16:47)

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B (17:42)

All right. Welcome back to Motley Fool Money. Today is January 19th. Today we honor the memory of the Reverend Dr. Martin Luther King Jr. And his fight for justice and equality in America. We hope you're Celebrating with family and friends in honor of Dr. King and his legacy. We wanted to take a look at some companies that are putting values in action. And we leaned on several respected independent rankings to ground the discussion. Dr. King often spoke about the moral responsibility and the idea that this shows up in investing. When companies align long term success with how they treat people, communities in the world around them is something that's kind of interesting to us here at the Fool. So here are three that have been recognized for aspiring to that standard. And I'm, I'm just going to start at this top here. Schneider Electric. This is an OTC ticker. I believe it's a, it's a French company but I think Jason's going to give me a bit more on this ticker SBGSY. According to the Corporate Knights 2025 Global 100 list they were ranked number one. This is the gold standard for quantitative sustainability. They assess over 6,000 companies and, and Schneider came in number one. Hewlett Packard Enterprise ticker HP Just Capital named them in their 2025 rankings of America's most just companies. The idea here is that just decides to look at democratically weighted. They pull 100,000Americans to ask what they care about typically fair wages, worker treatment, things like that and then rank the Russell 1000 index on those specific public priorities. HPE came out number one. And then our third candidate here is another HP company, HP Incorporated ticker HPQ3BL gave them the top ranking amongst their 100 best corporate citizens of 2025. So this used to be Corporate Responsibility magazine. They focus on transparency and ESG disclosure. They evaluate the thousand largest US public companies using 2219. I'm sorry specific factors across climate, employee relations and governance. Relying on public data. So three highly ranked corporate citizens. Travis, I'll start with you of those three, Schneider Electric. So again, Ticker sbgsy, Hewlett Packard Enterprise Ticker HPE and HP Incorporated Ticker hpq. Any of those interest you specifically or belong on an investor watch list?

A (20:14)

Yeah, I think Schneider Electric is one of those companies that has always, I've never owned shares but it's always one of those companies that in, in this space is always very highly respected and I think that's, that's what's kind of coming through here in these rankings. My, my spidey sense just kind of goes off with two HP companies being in these rankings because I know two different rankings though.

B (20:38)

Two different rankings.

A (20:40)

Fair. Fair enough, fair enough. It is a. Yeah, but some of these work and I You know, spent some time doing this in grad school but you know, there's a little pay for play with some of these. Schneider Electric is one of those that. Going back to the first time I heard about the company, it was always just a very highly respected company and seemed to be a very well run company. And those are the things that I think come across is that long term consistency in doing the right thing. And that just seems to be something that always, I always hear about them.

B (21:10)

All right, Durability. Jason, I think you know a little bit more about this company. Tell us a little bit more.

C (21:15)

Yeah. So the way I think about this idea of, of these sorts of businesses and thinking about ethics and, and how businesses treat all of the different stakeholders is, is really focusing on incentives for management because that tells you a lot about how businesses tend to do over the long term. And one of the things Schneider's always done pretty well is they, they things like their CEO, part of his compensation is tied to organic growth, not just buying revenue. You know, you can. HP is a great example of corporate mergers that destroyed value and didn't create value. But management got paid because it made the revenue line go bigger. So doing things that are tied to creating value is important. If you're focused on that as a manager, you're going to do a lot of creating value for more of your stakeholders as well. I truly believe that. The thing about Snider that's compelling to me is as a business in this moment we were just talking about AI. What is AI? How is AI affecting regular people? It's making energy costs skyrocket, it's putting pressure on grids in developed countries in very real material ways. Schle Electric, their business is all about efficiency and automation right at industrial scale. And they're very, very good at that. And they've been good at that for a long time. And as a result of focusing on that and compensating management in the right ways, even though this is an industrial manufacturer and they do a lot of software and other things, it's still a price taker business where really you make money by being lean yourself and being efficient in what you do. The stock is, it's like a five bagger over the past decade that's pretty darn good. And of this group of stocks, it's the only one that's come close to beating the market. It's beaten it pretty handily. Almost 20% a year in total returns over the past decade. That says a lot when you think about sustainability and creating Value.

B (22:58)

Yeah. I mean, it's so it's creating value for communities, creating value for shareholders. Schneider Electric on both your watch lists.

A (23:05)

Absolutely.

C (23:06)

Yeah. Valuations are concerned with, you know, 35 times free cash flow is a lot to pay for a company this scale. So that's why it's on the watch list and not on the on the buy list just yet.

B (23:16)

Fair enough. All right, up next, we preview tomorrow. It's a big week for earnings. We'll get you ready for it. You're listening to Motley Fool Money.

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B (24:36)

Motley Fool Money For Tuesday's show. Emily Flippin will be back with more guests and more chatter as we enter the meat of earnings season. It's a big week with both Netflix and Johnson and Johnson reporting results. So you really don't want to miss that. Either of you guys have a bet on whether or not we're going to hear an all cash offer from Netflix for Warner Brothers discovery in the call this week. You want to make that bet? Come on, Travis, you know you want to make that bet.

A (25:05)

I think we do get there and the concern for investors are going to be. We talked about this on Friday's show, but what does adding a whole bunch of debt to Netflix mean? Because Disney did it. What was that six years ago or so when they bought those Fox assets And it kind of hamstrung them for quite a while. You know, the pandemic didn't help, obviously, but that's something that Netflix has never really had to deal with. And this seems like a very big swing and it's a very defensive swing, which is a surprising turn for Netflix.

C (25:33)

All right, I'm far more interested in learning whether 3M's turnaround continues to move apace and what the perma bears at Dr. Horton have to say about the new home construction market. That I am Netflix's non new information that we're gonna. They're not gonna tell us a darn new thing about what's going on with those negotiations. Let's be honest. We'll see something in a filing before we hear their CEOs say anything at all about what's going on over there.

B (26:01)

Jason is not having it. He's not having it.

C (26:03)

No.

B (26:04)

All right, guys, thank you so much for being here. Really appreciate having you on the show today. As always, people on the program may have interest in the stocks they talk about, and the Motley fool may have formal recommendations for or against. So don't buy or sell stocks based solely on what you hear. All personal finance content follows Motley fool editorial standards and is not approved by advertisers. Advertisements are sponsored content and provided for informational purposes only. To see our full advertising disclosure, please check out our show notes. Thankfully, tuning in to Motley Fool Money, our engineer, as always, is the incomparable Dan Boyd. Our producer is Ana Chakabaloo. For Jason Hall, Travis Hoyam. I am your host, Tim Byers. Thank you again for tuning in to Motley Fool Money. See you again tomorrow, Fools.