Motley Fool Money - Tesla’s “Moment of Truth”
Episode Date: April 23, 2025Tesla’s net income decreased by 71% compared to a year ago. But Wall Street doesn’t seem to mind. (00:21) Sanmeet Deo and Mary Long discuss: - Poor results from Tesla’s automotive segment. - Wh...ether Musk’s return can revive the company. - Half marathons, and the future of humanoids. Then, (18:20), Asit Sharma joins Mary for a look at AMD and how the chip company is different from its biggest competitor. Companies mentioned: TSLA, AMD, NVDA Host: Mary Long Guests: Sanmeet Deo, Asit Sharma Producer: Ricky Mulvey Engineers: Dan Boyd, Rick Engdahl Learn more about your ad choices. Visit megaphone.fm/adchoices
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Robots are coming.
But maybe not very quickly. You're listening to Motley Full Money.
I'm Mary Long, joined on this fine Wednesday morning by San Mate Deo. SanMeet. Great to see you. How you doing?
Hey, nice to see you.
So we've got one story that's going to be kind of our single story today because there's a lot to talk about in this report.
None other than Tesla dropped earnings yesterday after the bell. Lots of anticipation with this one.
Obviously, it's a large company. It's a controversial. It's a company led by a controversial leader.
Let's put it at that.
Coming into this report, we had Wedbush analyst Dan Ives.
He's a longtime Tesla Bull, and he told NBC that this report is a, quote, moment of truth
for Tesla.
So we're going to dive into the details of this report in a second.
As I said, it's kind of our single, our sole story today.
But let's start with the big picture idea here.
You own Tesla.
What truth was revealed in this report?
I think the truth is the automotive segment is hitting the brakes.
There are one number that can kind of symbolize everything that's happening for their segment this quarter was the 2.1% operating margin, which was significantly lower than last year's 5.5%. The whole story is really captured in that margin number. It's lower average selling prices for vehicles, lower delivery volumes, volume time price, lower revenues, and higher R&D expenses. So that margin has significantly is lower than what they've had in really over.
the past few quarters. So very concerning in that sense. Now, energy and storage and services came
in very strong. So that was great, but they're much smaller part of their revenue. So the question
is, you know, have they taken that high off the ball? Is competition hitting them harder than the
market suspects? But one other truth I'll say is that the market liked Musk's comment, which I think
we're going to talk about, about reducing his time with Doge and getting back to focusing on Tesla.
Yeah. So let's hone in on that piece because in spite of that comment seems to be what is
causing this rise in Tesla stock that we're seeing this morning. We also saw a rise after hours
yesterday, pre-market this morning, and that's only continued throughout today. But again,
you just walked through the earnings. There were some glimmers there in other segments,
but in this automotive segment, as you said, largely was hitting the brakes. So it seems
that this surge is largely attributable to Musk's comment that he'll be taking time away from Doge
and returning to Tesla as soon as May. I've got a question on this. But is that what you two
attribute this jump to? Or do you think, ah, maybe there's something else going on?
Yeah, no, absolutely. This quarter, if you look at it, with automotive segments being
probably like 80, 85% of their revenues, this was a bad quarter for them. Their vehicle
deliveries were disappointment. That we already knew. That was already reported. Profability came in a
lot lower than expected. And I would have expected on a report like this, the stock would be
down. But given that must made a statement that he's going to focus.
back on Tesla. That's something that has been an overhang on the stock. And also, the market
is up very, very big today, awful relief rally. That too is helping their stock kind of bounce.
So this time allocation comment is an interesting one to me because I can see, obviously,
why Musk returning to Tesla could be a boost for the company. But I also wonder how much of
Tesla's miss here, like in this quarter, is attributable to the time that he's not spending at Tesla
versus how much of it is attributable to the political associations that he's tied himself to.
How do you think about that?
How much of this miss, especially in the automotive segment, do you say,
hey, this is a problem that's due to Musk not actually being at the helm,
and that will be solved by his return to the helm?
Or actually, this is a problem that's attributable to the political associations that Musk has made for himself?
I think a decent amount could be alleviated with Musk's,
spending more time at Tesla. He's known to have a tight rain and a high attention detail when he's
focused on the company. I've heard reports from people that work at Tesla that he's very detail-oriented.
He's very in the weeds when it comes to the company, but that's if his attention is there.
His attention has not been there, so that's that eye off the ball part where he's not out of the time
needed to really guide that ship. Some of it too is increasing competition,
car is from China causing, you know, some, some effects there. And I think there's been some,
there's been a lot of talk about brand degradation. Tesla is a brand. It's successful a lot
due to its brand. Must political associations have kind of rub people the wrong way. People may not,
people may not like his associations, how much time he's spending. So it has taken a hit to the brand.
That's pretty noticeable in the numbers as well.
this morning about how Wall Street is, is buying up Tesla. They like this comment from Musk. But if you
look at insider activity at the company, it seems that over the past 12 months, Tesla insiders have
been doing the opposite. Over the past 12 months, Tesla insiders have sold 28 times and bought
zero times. We like to pay attention to insider activity here at The Fool. What do you make of
this? Is this a red flag, yellow flag, or something that you can put an asterisk by and justify
somehow? I think there's no flag on the play, honestly. All these
Sales were part of a planned or pre-range stock option exercise strategy.
I like to look at open market buys and open market sales when it comes to insider buying or transactions.
And none of the ones I saw were really open market sales, although there was one open market sale in the past six months from Elon's brother, Kimball Musk, for 75,000 chairs totaling $25.6 million.
Maybe he's buying a new house.
I don't know.
That in itself could possibly be a yellow flag.
but all the others I'm not too concerned about.
If he's buying a new house with $25.5 million, I want to see that house.
Absolutely.
So Tesla's all-time high was last hit on December 17th when it closed at nearly $480.
Today, it's closer to $250.
Again, it's moving up so that might change by the end of the day, but that's where it is
right around the time we're recording.
Breakfast News, which is our daily newsletter here at the full, it gives a rundown of daily
market happenings.
they asked readers this morning in the newsletter when they think Tesla will return to its all-time
high, if ever. So I'll pose that question to you before we dive into more of the details of this
report. When do you think Tesla will hit its all-time high again, if ever? And how do you think
it gets there? I think it's going to hit the all-time high on April 23rd, 2030. No, I'm kidding.
I think it could be at least five-plus years or so, something like that. Usually when we see these
huge, massive market corrections, what I've noticed is whether it be the market,
certain stocks, they hit highs, they correct heavily, and then it takes a long time to kind of hit
that all-time high again at some point. That's assuming the businesses continue to succeed and do well.
In order for them to get there, the automotive segment needs to regain its growth momentum.
And we're going to talk a little bit about that later, too, about how they could do that.
Some positive traction on the fully autonomous driving humanoids, which we'll talk about too,
that could really boost the enthusiasm for the future prospects of the company and the business.
the stock. So if they can start making more traction rather than empty promises, then it could
hit its all-time high again. The large weak spot in this report, right, was the automotive segment.
And we were told during the earnings call that, quote, given economic uncertainty resulting from
changing trade policy, more affordable options are as critical as ever, end quote. The idea of a more
affordable Tesla has been teased for a while now, though plans have remained ambiguous, elusive.
growing this segment back and gaining traction here again, a clear path to that seems to be,
okay, if you can make this affordable option a reality, that would be a great way to, again,
revive this automotive segment. How do you see that playing in?
Again, I've mentioned that these plans for an affordable Tesla remain ambiguous.
What would you like to see that plan and practice for a more affordable Tesla actually look like?
I think that, you know, I think that affordability is absolutely critical to
Teflis automotive thesis relate to their electric vehicles because, you know, they're getting
heavy competition from Chinese makers, like I said before, that are producing very, very cheap
cars now, whether those cars are going to be just as cheap here in the United States
versus those domestic, their home countries, is something to wonder.
When I think of affordability, when it comes to cars, I think the gold standard is
Hondas and Toyotas.
Those are kind of the most affordable that are out there.
You see them all over and they're for the masses.
If Tesla can create a car for the masses,
I think they need to get it to around $20,000 price point
because you have Hondas and Toyotas at their kind of lower base models
at around $23,000, $25,000.
So I think that if they can kind of get to that price point,
make it profitable, it could be huge for the automotive segment.
And then you'll start seeing Tesla's literally everywhere,
not just for the high end.
I think, though, they need to create a clear roadmap, product roadmap, and what is going
to look like for them to get there?
Because Musk has the tendency to over-promise and under-deliver, and they need to flip
that script and really make it plausible that they can achieve this mass market.
If Tesla can develop this more affordable option, that's one way to revive its automotive segment.
but if we see vehicle deliveries truly begin to flatten out, kind of as, as seems to be happening
in this report, what does that mean for the Tesla growth story?
It's going to be challenging because that, again, like, automotives vehicles are about 80-something
percent of their revenues. If that just starts to flatten, that's a majority of their business
that's flattening, while energy and storage and services and all these other great pie in the sky
kind of autonomous and humanoid are great.
They're not a huge core part of their business.
This is vehicles are a core part of their business.
If they can't make it work, their business will struggle.
Now, that's not to say that autonomous and humanoid can come out of nowhere at some point
down the road and make up for all those losses.
That could happen, but that's still a very aggressive and far out into the horizon kind of prospect.
So then let's focus on where those other business segments are today. The energy and
generation, energy generation and storage segment of Tesla has seen nice, steady growth over the past
several quarters. This is an area of the business that actually saw notable revenue gains this
quarter. Where is that growth coming from?
So they're getting a significant increase in demand for both residential power walls, grid-scale,
their megapact battery solutions, you know, because of things like renewable energy adoption,
growing need for grid stabilization and resilience, rising energy costs.
So they're in a sweet spot of the market where their demand for their products are high.
We had this whole conversation at the top about what it means that Musk is away from Tesla,
what it might mean if he returns.
What's interesting to me is that we're seeing this growth in the energy segment while Musk is away,
running Doge.
Is that like a bright spot?
Does that mean that, hey, the energy side of the business can actually effectively run itself?
I think the overall operations, the day-to-day, can probably do a decent job like we've seen
because of how they've performed on a day-to-day basis without Musk,
but the overall vision, kind of strategic direction of the company,
and kind of, I've always thought of Musk and Tesla as like this,
you can't get into the mind of Musk, really,
but he has some sort of grand vision of how things are kind of going to all piece together
when it comes to autonomous and cars and energy.
human noise, all this stuff is going to, it's probably all together in his mind. He's probably having a
hard time kind of delivering the message to all of us. So that whole vision is needed. And I think
him providing that and focusing on that is going to help guide things. Day to day, they can,
they can probably do well, but whether they can scale to another level without him, I don't know
if that can happen. A piece of that vision that's long been teased is this idea of the robotaxie
and the cyber cab. And Musk said on the call that, quote, we remain on
track for the pilot launch of Robotaxi in Austin by June. June is right around the quarter.
So that feels very, very soon. It will be interesting to see if that is indeed something that
the company can deliver on. But notably, Musk also says, okay, the purpose-built
Robotaxy product, CyberCab is scheduled for volume production starting 2026. We throw these terms
around a lot, Robotaxy CyberCap. What actually is the difference between the two products and how do
they work together? Yeah, I'm glad you're asking it, because that's critical and very, like,
I always confused myself before I actually looked into it.
So the robo-taxies, basically, they're going to utilize existing Tesla models,
primarily the Model Y, to run the fully self-driving mode.
Cybercabs are going to be specifically built cars for the robo-taxie service,
being like they're all kind of, its whole purpose is to be used as an autonomous taxi service.
So the robo-taxie service, you know, is kind of, they're going to,
it's a pilot program in Austin, they're going to collect data.
They're going to kind of, you know, get that experience out there, kind of see how it operates.
And then the dedicated cybercabs will come out, start being produced around 2026, which then
they'll roll out at some point.
And on a side note, you know, I was in Phoenix a few weeks ago, and I saw Waymos all over the
place.
And they're pretty wild.
They're very futuristic.
If there's all I can really say about them.
Oh, I'm sure.
Okay.
We'll close out by touching on what I think is your favorite piece of.
this company, which is the humanoids. So, again, this is kind of something that we're still
seeing ramp up in production, still in development largely. Musk said, though, on the earnings
call that he expects to have thousands of optimist robots working in Tesla factories by the
end of the year, and that he expects to scale optimist faster than any product, he thinks,
in history, to get millions of units per year as soon as possible. He later kind of clarified that
timeline and said that perhaps the company could reach a million.
bots per year in less than five years, maybe four. Why is Optimus allegedly so easy to scale?
Slash, do you buy this timeline fully, or is this another example of Musk overpromising and
potentially under-delivering? Yeah. So, yeah, I love humanoid. I'm kind of a humanoid fan.
But I think it's potentially easy to scale because of Tesla's expertise in manufacturing,
AI, vertical integration with, like, from developing all these, like, at least the EVs and the
software that they kind of build. So they can scale it. Whether this timeline is believable,
I'm not buying it because I think that, again, Musk has a tendency to overpromise and
undelivered. You know, could it happen in 10 to 20 years? Possibly. Is it going to happen in,
you know, the next couple years? Not so sure about optimists. Whenever this does happen,
Musk has called out that he thinks that the humanoid robots can be, can bring in $10 trillion
in revenue for Tesla. What does your analysis say? Regardless of
when these robots are actually delivered at the scale that Musk is talking about,
do you see the same possibilities in terms of revenue that he does?
10 trillion does sound like a wild number, probably very unachievable.
But if you kind of take a step back and think about it,
there's about 128 million households in the United States.
Maybe you assume each one purchase at least one.
They've been rumored to be about 30,000 once they've kind of brought the cost down to a reasonable amount.
that right there is about $3 trillion in revenues for households.
Commercial side of humanoid production, could it hit $7 trillion?
Possibly you have them in factories, even businesses, maybe in restaurants,
you have in different places.
And then you have to factor in maybe parts or pairs servicing all the revenues
that you get from that as well because it's not just going to be sales of these humanoids.
It's going to be all the other ancillary stuff too.
So $10 trillion, wild sounds wild.
Maybe not that wild.
Over the weekend, humanoid robots raced against actual people in a half marathon in Beijing.
The point of this isn't for humanoids to outrun humans.
I saw this all over the news and I was like, wait, really, what is the point here?
So it seems to me maybe more like a publicity stunt or just a test case to see, hey, how capable are these robots actually doing human actions?
We'll kind of close out on a fun question.
Optimus was not in this race, but had it been?
How do you think it would have stacked up?
I think it would have been terrible.
If you've ever seen them walk, they walk really slow and really measured.
And I don't even know if they can run, honestly.
That was funny.
I'm like, the first thing I thought of when I saw that race was like, why are we,
why are humans trying to like create something better than us?
Like, why do we do that?
Well, and it misses the point of why people run marathons or half marathons in the first place, right?
We all know that we can't hit the fastest time in the world,
but it's more about striving to be better and for self-improvement.
Yeah, exactly.
I wouldn't be as impressive.
A human right breaks the fastest speed record versus a human doing it.
For sure, for sure.
Sammy Dayout, always a pleasure.
Thanks for coming on to the show and for giving us a bit more insight into Tesla earnings today.
All right.
Thanks, Mary.
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Enhance offers at Rangerover.com. Invita is not the only chip company in town. Up next,
Asit Sharma joins me for a look at advanced microdevices or AMD, the company that's trying to give
Invidia, a run for its money.
Also, despite the fact that semiconductor stocks are largely cyclical, feels like they've been
in the news all the time over the past few years.
One of the names that's often in the news nearly every day is Invidia, but a competitor
that gets a little bit less time in the spotlight is AMD.
The news, the media love Invidia, you love AMD.
So maybe, like, help us set the table here.
These are both chip stocks, but how are they different?
What is AMD doing that's different than what Nvidia is doing?
Mary, yes, full disclosure, I do own both companies.
I own AMD.
I have both recommended Nvidia and AMD in services I personally run and services that I work on.
I like both companies.
AMD is a little bit different because it's more of a diversified player in the semiconductor ecosystem.
Although I'm sure there's someone out there who's listening right now and saying,
wait, Nvidia is becoming incredibly diversified.
It's branching into so many areas.
But the traditional way we look at how semiconductor companies operate, I think you have
AMD the edge in diversification.
It plays in the chip market, so it makes chips for servers.
It makes embedded chips that go into industrial Internet of Things devices.
It makes chips for gaming, GPUs for gaming, like Nvidia does.
It also makes GPU accelerators, which is where all the attention is focused.
I don't know you were saying, it seems like if these are such cyclical companies, why are they always in the news cycle?
But I think we're going to be talking about such companies for quite a while.
So, help me understand this.
AMD's biggest customers include Microsoft, Meta, Alphabet, Sony, Oracle, big names.
We know a bunch of them.
The list also continues beyond those big names.
InVIDIA does not publicly disclose its customer list, but it is widely believed that its biggest customers are, get ready, Microsoft, Meta, Alpha,
the bit, Amazon, there's a lot of overlap between those customer lists. You mentioned that
AMD is more diversified. But if I'm the person who works at one of these tech companies,
and I'm in charge of buying up AI chips, what's getting me to buy AMD chips rather than
solely purchasing from Invidia?
So, Mary, first, we're going to make a distinction here, because you said AI chips.
And that signals to me that you want to talk about GPU accelerators, the kinds of
of chips that are used for artificial intelligence, specifically generative AI that help us use
large language models and are being applied to so many different industries. If you are, let's
say a hyperscaler, like an Amazon Web Services, or a Microsoft Azure, or an Oracle, why would
you want to buy these chips? Number one, it decreases your sole reliance on Nvidia, which has
been leading the charge and really developing the strongest, most powerful chips for the last
three years since Gen AI explode onto the scene. But also, there's a growing argument within
these companies that we want to be able to offer the ability to use generative AI at a lower
cost to our customers and for our own bottom lines. Hence, Oracle just placed in order for
about 30,000 MI355X. I think that's the name of the accelerator, a series from AMD,
which is an order worth billions of dollars. This was disclosed just a few weeks ago in Oracle's
earnings conference call because one of the reasons is that total cost of ownership over time
for Oracle is going to be less versus buying similar GPUs from Nvidia.
So there's some case where you want to buy Nvidia's GPUs to offer that power and performance,
but there's lots of places in the generative AI world for inference, the outputs of these
models and for some training purposes too, where AMD's chips are just as good for lower cost.
You name Nvidia as being the player with the strongest, fastest chips.
So the general consensus is that, okay, AMD creates chips that can compete pretty well with
Nvidia, but they still have to catch up with Nvidia from a technological standpoint.
As retail investors, how can we understand the intricacies of the differences between these
technologies?
And what is that path of catching up to Nvidia from a technological standpoint actually
look like for AMD from the outside?
So I think in some ways, it's becoming a little bit easier to understand than it used to be.
So there's one very visible thing that I think so many listeners may have heard of.
One of the things that makes Nvidia's products great, not only is the hardware, the GPU hardware,
but it's the software libraries, collectively known as CUDA, that you get when you buy Nvidia's GPUs.
And some of these come with the purchase for these big hyperscalers and even academic institutions, etc.
And some of those have a higher cost associated with them, but they make those GPUs really
powerful. That's been an edge that Nvidia has had for a long time. Now, that's a closed
system. It's Nvidia's own. AMD has chosen to go another route with ROCM. This is their open-source
version of accelerator libraries, which they basically invite the world to come and help improve that.
That's getting better and better. So one of the things that we need to see out of AMD is not just
being able to be within spitting distance on the GPU side, but to have its software libraries
become more powerful to bring down that total cost of ownership, but also just to make their
GPUs function at a level that Nvidia's do. Now, there's another big picture thing for folks
to watch in the coming years. Nvidia is so ahead of the race because it's now moved on from supplying
these great GPUs to supplying rack-scale systems. You and I were talking about Vera Rubin.
A couple of weeks ago, all these crazy names that Nvidia has that are sort of poietic.
What this simply means is that instead of buying GPUs and making them operate, companies that
are hyperscale companies or think even enterprise businesses now can connect those GPUs on racks
and have those GPUs sort of communicate with each other and become this integrated unit of computation
that's much more powerful than just buying them piecemeal and throwing them up on a server rack.
So Rackscale means interconnecting a lot of these GPUs.
NVIDIA has the connection technology, which is NVLink.
You and I have talked about.
They also have these great GPUs.
We're going to asterisk this a bit, because I think you're going to ask me about an acquisition
that AMD made that answers part of this question, but AMD needs to develop Rack scale systems
to really compete with NVIDA.
So these are the two things.
Get better in software and move to migrate to Rack scale systems.
I think between those two things, it can really have a competitive offering.
I think we've moved beyond the day where we're always looking at the specs.
How fast is this GPU?
What's the performance of it?
What's the workload?
How has it performed vis-a-vis benchmarks?
AMD is getting closer and closer on the benchmarks.
Now it becomes a question of software and making those GPUs talk together.
So if you're an outside investor, one of the ways that you might measure AMD's progress in those two areas is not just listening to what
the company actually says, but also keeping tabs on their R&D numbers. Between 2021 and
2022, AMD nearly doubled its R&D spend. It's continued to take up in the years since,
but at a slower pace than that interval. We haven't yet seen that payoff in AMD's margins.
Operating margin was north of 22% in 2021. It's under 8% in 2024. For comparison, NVIDIA's
operating margin was nearly 62.5% for fiscal 2025. So, okay, you're, you're, you're
seeing a foundation being laid by AMD to try to catch up with Nvidia, when in Howell investors
be able to tell whether those R&D investments are actually paying off for the company?
One of the things I want to point out before I answer that question, Mary, is that
Nvidia's operating margin of 62.5% is sort of an unfair comparison, not just to AMD, but to any
major company. This is probably the first or second highest operating margin in the S&P 500.
If you think about the biggest and baddest U.S. companies, this is Nvidia riding a wave
of demand in which it's exercising a lot of pricing power.
Historically, Nvidia's operating margin is healthy because it's more of a GPU-dominant
business.
It can range between 15 and 30 percent in good times, but it's a company that also has negative
operating margins at the bottom of the cycle.
We've seen that too out of Nvidia.
So right now, it's taking that advantage and exercising the fact that its products are so in demand
As an Nvidia investor, I sort of watched that as one of the things that's going to come back
down to Earth.
What should be an operating margin for AMD in a good part of the cycle?
To me, it should be somewhere around 20 percent above.
You mentioned it was seeing that in 2021.
Again, it's a more diversified business.
It has different paths to win.
I think we're seeing that R&D investment paying off this year in 2025.
We should see operating margin move up to around 10 percent this year.
The cadence looks like it's going to hit somewhere between 12 to 14 percent in 20 percent in
20 percent in 20.
So only now we're seeing the investment in that R&D payoff, but that was a lot of quick-turned
investment where AMD pivoted to the accelerator space because they saw the opportunity.
It recalls something that Lisa Sue did when she first took over at AMD in October of 2014,
which is to say, guys, we're going to innovate, we're not going to worry too much about.
about the outside world, and we're going to make great products. It took two or three years
for those investments to pay off, but it became, look, a leader in the chip space. This year,
it displaced Intel for CPU coverage in data centers. So I think as these years play out the next
three years, we're going to see that operating margin climb all the way up to 20 percent by
2027. You teased out news about this recent acquisition that AMD has pursued and followed
through on. So, okay, if you're one way to play catch-up in this chip raise is to build things in
house, another way to kind of grow your company might be to acquire businesses that are doing
work that you're already doing or that you haven't yet touched. So AMD earlier in August of last
year announced that they would be pursuing an acquisition of ZT systems. They're a service maker.
MD shelled out nearly $5 billion for that company, paid about 75% of that price tag in cash.
What does ZT systems do, and how is that going to expand AMD's potential?
ZT Systems is a designer of server systems, rack systems that I was just referring to in data centers.
It not only designs them, but it manufactures them.
AMD, yeah, shelled out that $5 billion.
Interestingly enough, Mary, it's going to actually sell off the manufacturing portion of ZT systems
because at its heart, AMD is a design company.
They design chips. They don't really manufacture them.
TSM is one of its partner companies that actually manufactures chips.
It's going to do the same thing here.
That will help it also keep from maybe competing with some of its own suppliers.
But I like this a lot because it lets AMD take a technology of its own, which is called
Infinity Fabric, and basically replicate what Nvidia is doing with its Rack scale systems.
So we should see in a system that's called the MMS.
my 4,000, sometime in 2026, AMD's first real convincing answer to Nvidia's dominance.
My thesis all along is that AMD doesn't have to displace Nvidia.
It just needs to do a few billions off of the top.
I mean, Nvidia is rolling with tens of billions of dollars of GPU revenue every quarter.
Just give AMD a few billions of that, and this company is going to see a great boost to its
margins and free cash flow.
Free cash flow, I should mention, is going to more than double.
this year, even after AMD has announced a tariff hit from export controls on a lower-level
chip, it was designing for the Chinese market.
It's still going to double its free cash flow this year, and it's on its way to a triple,
probably by 2028 in terms of free cash flow.
So throughout this entire conversation, we've been making the comparison between
Nvidia and AMD.
And you just pulled out some numbers stating that, okay, AMD's free cash flow is going
to double, potentially triple relatively soon.
So, if you look back from where we are now over the past year, whereas NVIDIA shares are
up nearly 30 percent in that year-long time frame, shares of AMD have fallen over 40 percent
in the same time period.
What gives?
It sounds like you're laying out a very compelling case for AMD and its growth path forward.
Why does the current share price not seem to reflect that?
I think the market's concerns are legitimate.
The market is saying, look, if you are so great AMD, then why didn't we see you explode
in GPU sales in the first year after you said, you were also going to play in this business.
And they did get off to a slow start out of the gate. So there are questions about execution.
Companies want to know if AMD really can provide that cost advantage. The other thing, I think,
that poses a cloud over AMD, is just this comparison. I've sort of argued all along that
AMD doesn't need this business to succeed as a company. But the market sees it very much
as a race between the two most capable makers of GPUs.
And Nvidia has to date been so far ahead that I think it suffers from that comparison.
So there's execution risk, and there's also this, I think, slightly unfair comparison
that AMD suffers under.
But that's actually a good place to be.
AMD loved that position when it was just a shadow beneath Intel and took over that business.
I'm not trying to forecast that it's going to take over NVIDIA's
business. Again, I love both companies, but I do think there's room in a company that now seems
relatively cheap versus its future potential for it to grab some of that market share.
And I think the order that Oracle made that I mentioned at the beginning of this conversation
is one of the first indications that the cost proposition is making sense to companies that
don't want to keep spending indefinitely year after year at the pace that Nvidia is rolling
out as innovations. Remember, you and I were chatting about Nvidia.
trying to have a new, better product every 12 months. That's great until people's appetite and
capital propensity starts to really push up against this. And I liken it to, you know,
people who have sort of free money and can keep buying the latest either car or stereo equipment.
And then suddenly when that money is tight, you start to really love what you've got.
Like, I like this vehicle. Sometimes those people turn into it.
and I have friends like this from trading out cars and leases to, I'm going to drive this car into
the ground. I paid it off. I get that, right? And AMD can really benefit from a world in which
some of these hyperscalers are like, hey, I sort of want to run some of these GPUs into the ground.
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With the Motley Full Money team, I'm Mary Long.
Thanks for listening.
We'll see you tomorrow.
