Motley Fool Money - Big Earnings Energy

Episode Date: April 17, 2025

In the face of a trade war, Taiwan Semiconductor is not changing its outlook. (00:21) Tim Beyers and Ricky Mulvey discuss: - Earnings from Taiwan Semiconductor and what’s behind the company’s impressive business results. - The chipmaker’s growth story in 2025. - Netflix’s plan to become a trillion dollar company. Then, (15:20) Tim and Ricky discuss the export ban on Nvidia’s H20 chips and what it means for the tech giant. Learn more about the Range Rover Sport at www.rangerover.com/us/sport Companies discussed: TSM, NFLX, NVDA Host: Ricky Mulvey Guest: Tim Beyers Producer: Mary Long Engineer: Dan Boyd Learn more about your ad choices. Visit megaphone.fm/adchoices

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Netflix wants to be a trillion-dollar company. You're listening to Motley Full Money. I'm Ricky Mulvey, joined on the internet today by Tim Byers. Tim, good to see you. Fully caffeinated, ready to go, Ricky. Today's a caffeine day. Okay, I'm good. I got lucky.

Today is a caffeine day. All right. Let's start with Taiwan semi and see how caffeinated you are about this one. All right. We can talk about the business results, but I thought there was some swagger in this earnings report because here comes a large semiconductor company that says, we're still expecting mid-20s growth and our outlook. We're maintaining the goals we set in January, never mind the tariffs.

What do you make of management over at Taiwan's semiconductor maintaining this much swagger in a trade war? Yeah, big earnings energy. In some ways, you are seeing what it looks like when a well-positioned company has a hammerlock on an important and emerging market. I mean, that's what this is. Taiwan said me is still far and away the leader when it comes to global chip manufacturing, Ricky. And this is especially true at the nanoscales where the highest performing chips are made. If we want to be more specific about this, just going to the conference call, CEO CCWay said in that call that TSM essentially

has seen no impact from tariff policy. So it's a little early, and there is some swagger in this, but I just want to quote him here because I think this is an important quote. So we understand there are uncertainties and risk from the potential impact of tariff policies. However, we have not seen any change in our customer's behavior so far. Therefore, we continue to expect our full year 2025 revenue to increase by close to mid-20s. So like, yeah, like no change in behavior. And the translation I have for that, Ricky, is just the tech world needs our production capacity expertise, and we're going to keep charging a premium for access to it. So it's a heck of a position to be in. So no change in behavior yet. Still a fresh, a relatively fresh trade war.

We're not that far from Liberation Day. But in the meantime, we're going to focus on the business results. This is really impressive to anyone. When you're a company that's worth more than, what is it, $600 billion, it's a lot to move the needle. Net income rising for Taiwan Semiconductor by 60% from the same period last year. Its high-performance computing division is now about 60% of total revenue. That's a lot of cheddar. What's behind these business results? Well, I think we know the answer, and it is AI.

Demand for hyperscale AI compute continues to be robust, and Wei said this. He said that recent breakthroughs and introduce efficiencies, so we're talking about things like Deep Seek, only serve to democratize AI and increase the need for chips and compute that TSM manufactures. By the way, he is also sort of not saying exactly what Jensen Wong has said, but it's awfully close to what Jensen Wong has said. He is parroting that message. But again, I think he's got a point here. You do not need to take my word for it. We can look at the numbers. So in Q1, 58% of wafer revenue. So this is revenue directly from manufacturing the wafers that hold chips. You have wafers, and on those wafers are a bunch of chips, and when you

separate the chips out of the wafer, that's how semiconductors are manufactured. So, 58% of that revenue was sourced at five nanometer or below. So that's the scale at where Taiwan Semi is producing the ultra-high performance chipsets. And many of these are sure to be purpose built for AI training and inference. So that's what's going on here. This is an AI tailwind. So one of the benefits of these very small three nanometer, five nanometer chips, it means that you can get the same performance for a lot less power or more performance for the same power. And it's worth noting just the tech we're talking about here. When we're talking about one nanometer, that is about the length that your fingernail grows in one second. And these chips are so high.

And if you think about it, like, you're not noticing how much your fingernails are growing in one day. Hopefully you're noticing how much they're growing in one week. But this is insanely small stuff we're talking about. A lot of transistors going on to one chip. Battery life is one example. So if you have a newer iPhone, you may notice your battery goes on a lot longer than older iPhones. That's because they're packing on more transistors onto one chip. But whenever we're talking about Taiwan semi, it's probably worth bringing Nvidia into the conversation.

that's a big customer for Taiwan semi. What can Nvidia do with these super small chips? You've got this right. More transistors in the space that you are producing the chip. And the multiplier effect here is, so a GPU, a graphics processing unit, which is, that's Nvidia's core business, you are pulling together quite a lot of relatively dumb high horsepower chips. And so a more efficient GPU built at smaller nanoscale is going to pack more of that dumb processing power into the same relative space.

So it's just going like if we go the fast and the furious analogy here, Ricky, you got a whole lot more nitrous is what you get here. So the technology is pretty complex here. And I asked, so like, how much efficiency are we talking here? So I asked Gemini to describe the difference between three nanometer and five nanometer, just to kind of put a finer point on this. And what it said was a three nanometer chip, you'd have a transistor density of nearly 300 million transistors per square millimeter. Well, a five nanometer chip has a density of 130 to 230 million. transistors per square millimeter. So it's not quite a doubling. Let's say it's like 70% better.

And that's just going down two nanometers. So you can see how this scales up pretty quick. Last thing I'll note about Taiwan Semiconductor, what stood out to me. This is a company that maintains close to a 50% operating profit, which is a lot for a manufacturing company. Tells me, Taiwan Semiconductor, still a lot of pricing power there. And we're going to talk more about semiconductors. Later in the show, Tim and I have a deep-ish dive on what's going on with the Nvidia export controls. But for now, actually, we're still talking about pricing power because we're going to talk about Netflix, which reports later today. But it hosted its annual business review meeting just a few days ago. This is what the Wall Street Journal has reported on

and what I want to talk to you about because they're really zooming out on the business here. And management basically telling its investors, this is what we plan to do. by 2030. We are going to triple our operating income. We are going to double revenue, and we will achieve a $1 trillion market cap. Right now, Netflix is about a $430 billion company. It needs to more than double by 2030. That's a lot.

I want to start from a place of good intentions, Tim. What needs to go right for this to happen? Global ARPU, that's average revenue per user, needs to go up. as the ad tier gets successful in other territories around the globe, they need to get footholds in other places. Another great sign would be more content finding its way across borders. Essentially, in order to do this, Netflix doesn't need to do new things. That's the point I want to underscore here. The reason I believe them is they don't have to do new things. What they have to do is take their global customer base and get more from that global customer base and then

continue to grow that global customer base as they have been. The ad tier is going to be essential to this, Ricky. I really believe that. But I will say this idea of more content finding its way across borders do not underestimate how important that point is. Every time content grows, so let's take the Queen's Gambit, one of my favorite recent Netflix show. Well, it's not that recent anymore, but it's relatively recent the last few years. Great show. has gone around the world. And every time content goes multinational, it creates a massive ROI on the original spend. That's really important. The internal return on capital employed is really good for Netflix. This is why their margins can go up. So every time this happens, they just get

fantastic internal returns on that content. If that continues, They can keep this up. And so you would expect to see, like, along the path here, Ricky, like, more global content, more global content that they can market across borders. So, like, you could have Chinese language content that doesn't just appear in China, but appears in Chinese-speaking territories, right? You know, so you would expect things like that. But, yes, there don't do a lot of licensing.

and I'm not really expecting them to, but that's something that is open to them later on in their life. They just don't need to do new things to do what they're talking about. To do what they're talking about, though, is pretty incredible to join the legion of trillion-dollar companies. We're talking about like Apple, Nvidia, Microsoft. I think Berkshire Hathaway is up there. Right. These, like, at the end of the day, Netflix is an entertainment company with a subscription business.

It's, it's consumer spending. It's not a large conglomerate. It's not doing, it's not the backbone of cloud computing. This is, while pretty recession-proof, this is a cost that people can cut and has some pretty fierce competitors. Sure. I'm a Netflix shareholder, but I don't know if I'm buying what management is selling here. How about you? No, I am. And I think, I think the reason for this is, because Netflix is the one streaming service that's been profitable and consistently so for years. As others have tried to scale up, Netflix has just grown more and more profitable. They've been doing this better than everybody else for a long time.

And so the global infrastructure that everybody else needs, Netflix already has. And that is a huge advantage for the company. And I don't think they ever get enough credit for that because let's be clear, Ricky, unless it is something that is marketed here in the United States. We don't really see all of the amazing stuff they're doing in other territories. Like we see Narcos, we've seen Squid Game, but generally the hits that they have in other territories, we don't really see that, but they do have hits in other territories. I was in Costa Rica in January and pulled up Netflix there.

The movie selection when you get out of the United States, absolutely incredible. It's like if I were outside of the United States, I could not imagine ever canceling Netflix if I had the means to have it. Right. And so I think this is important. And I also will say this. Netflix gets the benefit of, they get benefits from their competitors. Here's the primary benefit. Every time you have a money-losing streaming service, and that is essentially all of them,

not named Netflix, feeding the habit of streaming, what you're doing is saying, look, streaming is the default, and Netflix is the big dog. You are advertising for Netflix by doing that, by creating and helping feed the paradigm shift. So, yes, I think they are the big dog. I think they have a significant advantage in global distribution that their competitors are still a little waves from matching. One thing I've noticed about Netflix right now in the commentary around it, no one seems to be bearish on it just a few years ago.

Yeah, that's a worry, isn't it? Netflix lost some subscribers, and there was a huge sell-off in the stock. now, management a few years later, very politely has said we're no longer reporting subscriber numbers. And times are good. This is a pretty safe haven from the tariff madness going on. A Netflix subscription is one of the last things to go in a recession for people. But because times are so good, because people are so bullish on this company, you can't find an analyst with a bearish thing to say about it. Let's play the bear case. What would break your thesis for owning shares of Netflix. Yeah, the thing that would really screw it up for me, Ricky, is what Peter Lynch famously

called Dwarcification. That's where you are taking the core business and saying, yeah, this core business is great, but there are other things we could do and you layer other things on top of it. So, for example, they are experimenting with games, but they are not presently over-investing in games. I find that to be good. If that changes and they start over-investing in games, I'll get a little nervous. Or if they build Netflix land, and just because they have the cash on their balance sheet to create a theme park, that doesn't mean they should do it.

I don't think they will. If they did, I would find that really, really worrying. Netflix is fantastic at Green Lightning's small budget shows around the globe. A whole lot of them. And then nurturing, there's a lot of losers in that group, but they nurture just enough of the winners into viral hits that cross borders that produces very high internal returns, that's what they need to do. Just keep doing that, and I think they'll be fine.

Let's leave it there. Tim Byers, appreciate your time and your insight. Thanks for joining us on Motley for money. Thanks, Ricky. These days, I'm all about quality over quantity, especially in my closet. If it's not well-made and versatile, it's just not worth it. That's honestly what I love quince. The fabrics feel elevated, the cuts are thoughtful, and the pricing actually makes sense. Quince makes high-quality wardrobe staples using premium fabrics like 100% European linen, silk, and organic cotton poplin.

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Now available in Canada, too. Don't keep settling for clothes that don't last. Go to QINCE.com slash motley for free shipping and 365-day returns. Quince.com slash motley. All right, up next, Tim is sticking around to talk about the export ban that NVIDIA is facing in the tech giant's current valuation. All right, Tim, before we get to the ban, I think it's worth discussing, what is being banned here? What is the H20 chip and where does it stand in sort of NVIDIA's lineup of offerings?

Yeah, this, so, Ricky, the H20 looks to me like a customized for the Chinese market version of their advanced AI chip sets. So I think you could think of this as the knockoff that you would buy at a dollar store. That, you know, you could, it's just, it's for the lower income can't afford the full brand, but you can have the, you know, low brand equivalent that you could pick up at your local dollar store. And I think in this particular case, it's because the American government has been very, very clear for a while now. This is not just the current administration. This is the prior administration. Just said, like, look, China can't have the most advanced American chip technology. So you've got to give them something else. But now it does appear that there are new licensing requirements. And these licensing requirements means that all of those H20 chips that were going to be sold, now it appears $5.5 billion.

worth are now not going to be sold into China, and they are the low budget doesn't really work anywhere else type of chips, and so it becomes a write-off for Nvidia, which is, I mean, that's a pretty big hit. Yeah, I mean, the U.S. government, even through the Biden administration, as you mentioned, has restricted, or I should say tried to restrict the sales of advanced chips to China. So this is big news for NVIDIA. It's a big write-off. So what's so new about this ban versus what had come previously? I think the licensing requirements, and I have not seen anything that shows what these licensing requirements are. That's what the Trump administration has introduced, and it's affected not just NVIDIA, but it's also, in fact, affected AMD.

So AMD now is going to write off $800 million worth of inventory and product that it can. can't sell now because of these new licensing requirements. So what it looks like, Ricky, I can't say that I know exactly what it is, because I'm not so sure it's been fully defined yet, but it looks like new requirements, new loopholes, I'm sorry, not loopholes, but like hurdles that these chip manufacturers are going to have to go through in order to sell to China. Or, it may just be that this is effectively a ban, and there are going to be no sales to China. I I wouldn't predict that. I would rather say that whatever these new hurdles are, AMD and NVIDIA will figure out how to meet those hurdles and then provide some kind of product into

the Chinese market. And I know you said this was the dollar store version of what NVIDIA provided. The dollar store version of what NVIDIA provides is still probably really good. I shop at dollar stores, Ricky. The dollar store versions are still good. Why can NVIDIA sell this H-20 chip to other customers? Well, I think because it's more customized and also because just technologically, you know, the power requirements, just some of the ways that the chip is limited, just isn't going to work for markets where they are looking for a much more advanced

chip set. I mean, I think it's more complicated than that. But bottom line, I think there are other markets that have moved on to more advanced platforms. These are not highly power-efficient chips. They are memory hogs. They just aren't designed to perform in the way that the more advanced chipsets are. And so other markets can be like, yeah, thanks, but no thanks. And this is more of a take, but I think it's important to bring in any time we're discussing export bans. If the Chinese government really wants these chips, if they really want these AI chips, they can still probably get them. They might have to do some work with shell companies. They might have to buy them outside of China, but then bring them into China.

But this is something they've been dealing with for a while. And Ana Swanson at the New York Times has reported in the past about how many of these super advanced chips in GPUs are still able to leak through export bans. So even though you set the rule, it may not be followed in the way you intended. I think that's exactly right. And I think just so we aren't too naive on this show and so that we don't, you know, let members. believe that we are too naive, the most advanced chips will still find their way into China, because that has been true for generations. How that happens is something that the U.S. government is going to continue to worry about and continue to crack down on. But yes,

we should not pretend that the Chinese will not get access to sophisticated AI chipsets. And meanwhile, they are trying to build up their own industry. Huawei is trying to trying to build up its own supercomputer. You shared with me a newsletter that kind of described where things stand. So in your view, where does Huawei's supercomputers stack up to what NVIDIA is providing right now? Well, this is, I mean, full credit to Ben Thompson. That's Tretecary and his newsletter. And he was talking about this, about the 384 supercomputer, which is a highly inefficient, but also highly powerful supercomputer designed off of a very inefficient, which is a highly inefficient, but also highly powerful supercomputer

designed off of their own chipsets. But I think the key here is that the Huawei supercomputer is something that we would not tolerate here on American shores because it is an absolute power hog. It is absolutely, you know, abusive in its use of memory. You would essentially be draining just extraordinary amounts of power in a data center like off Lake Erie, and you'd have houses flickering in the background because it was sucking so much power just in order to power these supercomputers. It just doesn't work for us, but in China, they have different needs. Their pollution laws are different.

So it works for China in order to just be a raw horsepower type of inference machine. And for their purposes, they can do that. It's just not something that is likely to exist in a lot of economies outside of China. One of the moats that Invidia has with its chips and the Kuta software that it runs on, or the Kuda system that it runs on, is that they only play nicely together. So if you want access to the system, you've got to use Nvidia chips, which is where a lot of AI architecture is built. Do you see competitors, maybe not Huawei, but other competitors that are going to build a more open offering in the near future?

It seems like tech platforms are moving more towards that. Or not moving towards, there's a lot of open source AI types of offerings, but not really within the architecture. Yeah, in this particular case, Thompson makes the argument, and I think he's right about this, is that the export bans have created a counterincentive. So at some point, you do want to procure the most advanced American chips where you can get them, whatever ways you can get them. but you would also like to have your own alternatives, and in particular, you would love to have an open-source alternative to CUDA that would allow you to program any Nvidia chips you could get your hands on and any other chips you could get your hands on. Because you're right. InVIDIA is highly vertically integrated. In order to best orchestrate and take advantage of Nvidia's GPUs,

You use the Kuda low-level programming tool to do that. And that had been a real strategic advantage for NVIDIA. If you want to have NVIDIA chips, you got to use NVIDIA CUDA. If you could do anything to break that hammerlock that is good for China, but also the real judo throw here, Ricky, which Thompson makes in his newsletter, and I think he's right about this, is once they do that, they will do what they did with Deepseek. As soon as Deepseek came out and they said, hey, look, we did something. And by the way, one of the most interesting parts of Deep Seek was that they bypassed Kuta in order to make the Deep Seek model really super interesting and build it on top of NVIDIA chips by building down a level below where Kuda was and dropping into something that was kind of equivalent to assembly code.

And you could think of it like programming directly into the silicon, really hard. things to do, but to make a more efficient model. Similar idea. Could you create something that is an entire alternative to Nvidia and then just throw it out into the world and say, hey, by the way, we just dramatically weakened Nvidia's moat. Here's a free tool that's exactly like it, and you could do it to program any GPU, including Nvidia GPUs. There is a real incentive to do that now. It's going to happen tomorrow. It's going to happen within three years? I have no idea.

But this is an example of when you have an economic force in place, like export controls, you create incentives to get around those export controls any way possible. And in this case, it makes me worry a little bit, not a ton, but just a small amount about NVIDIA's mode. And to be clear, this race towards AI supremacy was going on. on long before these export controls. But the point you seem to be making is that maybe this speeds up, let's say, these shipments of sand going into Nvidia's boat to build islands there. I think that's right. I also think that the tougher the administration gets at trying

to crack down on China and prevent it from getting the most advanced AI equipment, the greater the incentive there is for the Chinese government, Chinese entrepreneurs, and entrepreneurs around the world to figure out how to get around those restrictions. So I actually like hearing your concerns about this because Nvidia is still, it is the top dog. It is a dominant player. And as I'm looking at the price tag on this stock right now, Nvidia is at about 42 times cash flow.

It had flirted in the past with about 80 times cash flow. The pay ratio, which is a price to earnings multiple that accounts for growth, is now at about 0.2. For those investors who have been waiting for the dip to pick up some Nvidia shares, I remember when it was the hottest thing, it was trouncing the market cap of McDonald's in one trading session. Now investors are getting much more pessimistic. That might be a good thing if you've been waiting to pick up some shares of this super dominant tech stock. What say you, Tim? I do think Nvidia is going to continue to be dominant for quite some time. What this does is it introduced the first real grain of uncertainty in Nvidia that I think we've seen in a while,

that there's going to be some real movement to see what other countries and what other companies can do to break the hammerlock that Nvidia has had on this market. And that uncertainty creates, you know, it does create downward pressure. So yes, if you haven't ever bought any Nvidia shares, It may be an interesting time to at least think about it. What I will say, though, Ricky, is those multiples you just introduced there, there's still, you know, like that 0.2 peg ratio. That only matters if the growth rate continues as it has. And if the growth slows, then that kind of invalidates the peg ratio.

So if you're going to speculate, please just be careful. I hate to sound like, you know, your old granddad here, but like, be careful, son. You know, this is still a speculative stock. I've got other companies on my watch list, but yeah, Nvidia is there and probably rightfully so. Tim Byers, appreciate you being here. Thanks for your time and your insight.

Thanks, Ricky. As always, people on the program may have interests in the stocks they talk about, and the Motley Fool may have formal recommendations for or against. So no buyer sell stocks based solely on what you hear. All personal finance content follows Motleyful editorial standards and are not approved by advertisers. The Motleyful only picks products that it would personally recommend to friends like you. I'm Riki Malvey. Thanks for listening. We'll be back tomorrow.