Motley Fool Hidden Gems Investing - Elon Musk, Chip Giant?
Episode Date: May 8, 2026Elon Musk’s EV and rocket empire may be expanding into chips if recent plans to spend up to $119 billion in new chip fab facilities become reality. We discuss the implications for the industry and M...usk’s companies, plus update on SaaS stocks, and what technologies have staying power for the next decade. Travis Hoium, Dan Caplinger, and Tim Beyers discuss: - Musk’s chip dreams - SaaS recovery - What technologies will survive the next decade? - Stocks on our radar Companies discussed: Tesla (TSLA), DataDog (DDOG), Sportsradar (SRAD), MercadoLibre (MELI), DigitalOcean (DOCN), Taiwan Semiconductor (TSM), Intel (INTC), AMD (AMD), NVIDIA (NVDA). Host: Travis Hoium Guests: Dan Caplinger, Tim Beyers Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We’re committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices
Transcript
Discussion (0)
Do we have a new chip company in town? Welcome to Motley Fool Hidden Gems Investing.
Welcome to Motley Fool Hidden Gems Investing. I'm Travis Hoyum, joined today by Dan Kaplinger
and Tim Byers. And guys, I think we've got to start with what I think was one of the
wildest news items of the week. TSMC has been this break on this AI CapEx spending for years
at this point. But now Elon Musk is saying, hey, we need more chips. We need more capacity.
I am willing to put up to $119 billion into becoming now not just an EV company,
not just a satellite company, not just an AI company, but also a chip company.
Tim, I want to start with you. What in the world is going on here? Because it seems like chips is
one of these businesses that is really hard i mean intel has not gotten this right over the past
decade and suddenly musk comes in and do we have a new player in town in the chip game it's a floor
wax and it's a dessert topping you know for those who remember their 1970s snl references i mean
it's it's no i mean look i've got to look that one up there is there is nothing that elon musk
thinks he can't do. And so here we are. Now, to be fair to him, what he believes is that in order
to serve all of his various businesses, he needs compute. And he needs compute at scale. He needs
it for SpaceX. He needs it for Tesla. He needs it for XAI. And so in order to solve that problem,
he wants to create Terafab. And Terafab is this idea of just this massive scale chip manufacturing
facility, organization. I think there are reasons to ask questions, but there is a logic to it. So
let's give him credit there. But TSMC is an incredibly efficient supplier, and they are
able to manufacture chips at scale because they've been doing it for decades. And they do it at the
smallest possible form factors. And if you want to do what Musk wants to do, which is manufacture
or AI compute, then what you end up getting is a real push to manufacture the smallest chips
possible. Right now, that's at two nanometer. TSMC is already there. Musk is presumably going
to get there. But I think there is a lot to be determined with this. The vision from a logic,
as with most things that Elon Musk gives us, there is a logic behind this, but the difficulty level
is just extreme. Dan, the reason that this is, I think, is so important is it impacts so many
companies in the entire ecosystem. You've got the chip manufacturers, TSMC, you have Intel,
you have the AI chip suppliers like NVIDIA, AMD. Is this something that investors should be
thinking about, that maybe there's a new supplier in town, that maybe this is going to be this
vertically integrated company that's going to take on a Google? I mean, where does your head go?
because it seems wild on the surface.
But like Tim said, there is some logic to it.
So you got to take it seriously.
There is.
But I think the thing you have to remember
is when it comes to Elon Musk,
Musk is going to look after Musk's own companies first.
I think that the whole purpose of this,
regardless of talking about overall industry capacity,
regardless of saying,
hey, there might be an opportunity for us
to make a contribution to the industry writ large. Really, I think the TerraFab vision is about
helping SpaceX, helping XAI, helping Tesla to do what they need to do, to build Optimus robots,
to make massive launches of goods and services into orbit to further Mars missions. Solar power
capacity for space-based data centers. Even the chips necessary to get all the way to full
self-driving, which we're still waiting for on Tesla. So, you know, that is the first and foremost
there. And because the trend was always for Musk to try to vertically integrate that, I don't think
that Taiwan Semi or any of the other chip fabs really need to be terribly worried about this
because from a long-term standpoint, it was going to happen anyway. So you think that Musk building
out this chip capacity just makes sense in the long-term Musk vision. And I want to put some
numbers to this. SpaceX is not public yet, but it could go public later this year and definitely is
a stock that a lot of people in the Motley Fool universe are probably going to at least be
interested in. But Tesla is going to be at least a partial funder of this TerraFab if it ends up
happening. They have $44 billion worth of cash right now, but they also have almost $8 billion
worth of debt. And their free cash flow, I believe they're going to spend $25 billion this year in
CapEx, is likely to go negative this year. You also need a lot of money to be a car company.
So Dan, the thing that we have to throw into this too is that vertically integrating is very risky
because if you don't have the demand, then you just are stuck with a whole bunch of fixed costs
and a whole bunch of CapEx that you've spent.
By the way, we found out this week
that XAI, which bought all these NVIDIA chips,
didn't have demand for their Grok AI tool.
So now they're just selling that to Anthropic.
That may end up working out.
But if we get to a world five years from now
where you're suddenly building all this CapEx
and we do have some sort of bubble,
that seems like a really tough place to be.
It is, but I think that Tesla in particular
and Musk more generally
has generally been pretty good about adapting to changing market conditions. The example I'd
throw out is Supercharger. I think at some point, Musk would have thought that Supercharger was
going to need to compete against other third-party charging infrastructure. But the fact is that the
third-party charging infrastructure just has never come close to matching what the Supercharger
network was. And so given that opportunity, given excess capacity in the Supercharger network,
given excess capacity and demand from the rest of the EV world, Tesla saw an opportunity. Musk
saw an opportunity opening up, essentially, the supercharger network to these third parties.
And I could see the same thing happening here. I think the question you raise is, Travis,
is Musk going to get the timing right, or is he going to make these supply agreements too late?
There's a lot in the air right now, and it's going to take three or four years even for
this project even to come close to completion, let alone getting up to capacity. So you're right.
The timeline is going to be important. A lot of our information about this is coming from a
one-page property tax abatement application in some county in Texas. So we don't have the details
yet. But I mean, we've been around the block with Musk plenty of times. The details come when they
come and you kind of fill in the blanks. In the meantime, there's a whole bunch of people trying
to speculate about how those blanks are going to get filled. All right, Tim, let's speculate a
little bit. Okay. When you think about the investment landscape and this kind of an
announcement, the one company that came to mind for me is, I mentioned early on, TSMC has kind
of been this break on the AI build out, right? Like you can't overbuild when you can't get enough
chips. Right. We've now seen Intel, their stock has skyrocketed, which maybe gives them the cash
in the ability to invest a little bit more. We've seen Micron and other memory companies say that
they're going to build more capacity. And now you have Musk coming in as well with a $119 billion
plan. So that's an area that I'm curious to hear what you think about the supply-demand dynamics
longer term. But is there any other areas for investors for either opportunities or risks as
a supplier like this potentially comes into the market? Okay, well, let's talk about how this
probably plays out and then i'll give you a a thought i think the first thing is musk is you
know he's he's done some crazy things he's not stupid i think he he might be what my friend bill
mann likes to some kind of sometimes uh call harvard stupid where he he's so arrogant that
he thinks he can't be wrong i think that is a feature of elon musk but he knows enough to know
that he can take this in stages. And I do think there is a stage where TerraFab can come in and
solve a problem. And that's with memory. I don't know that they're going to go straight to the
most advanced chip making, Travis. I don't think they would be smart to do so. But if you are
filling part of the capacity constraints for memory, that would be super interesting. And
who do you partner with to get there? I'm not entirely sure who that would be. Wouldn't surprise
me if it was like a Samsung, but you mentioned like, who is, where do you go for investing in
this type of opportunity? I'll give you two that I think are interesting. One is you've already
mentioned, which is Intel. And I know the stock is up materially, but the stock is up materially
on Intel foundry doing nothing. It really hasn't done anything. They're the reported partner with
they are with this tariff ad with the 14 a uh yes which isn't actually operational yet but that
that's the idea i think right and so you're talking about so 14 a now it's not exactly this
but that is now you're getting under that sub two nanometer and so it does make sense like if musk
wants to compete at the most aggressive form factors to make the most aggressive compute
and if Intel can actually pull this off and have a manufacturing process down way under
two nanometer, then yeah, that is an interesting partner and it could really scale up Intel
Foundry. And if Intel Foundry becomes meaningful, billions and billions of dollars of revenue and
profit, then suddenly the math on that company looks a little different. The other I would say
is ASML because you cannot get away with building all of this stuff and not having the monopolist
for the most advanced chip making equipment. Like if you want to build.
Isn't that a break on these plans though? Sold out for the next however many years?
A hundred percent it is. Um, and there really is no, there's no sense that there is going to be
an alternative to ASML. I don't think Musk is going to build it, but ASML right now is in a
wonderful position for the next five, maybe even 10 years. Look, I don't think you're going to get
unbelievable returns on ASML, but if you or I could get 7% over 10 years and that was relatively
guaranteed in a market as turbulent as this. Would you take it? I would. So I think ASML is
interesting. Well, it definitely is going to be interesting to watch because we have the SpaceX
potential IPO coming in the next couple of months, still, I think, in the plans for June.
And what happens with Tesla? Does that get rolled into SpaceX? Do they build out a new
chip manufacturing business? Lots to watch, and we'll be covering it here. When we come back,
we were going to talk about the death of the SaaSpocalypse. SaaS stocks actually went up this
week. We'll tell you what's going on. You're listening to Motley Fool Hidden Gems Investing.
save up to $2,500 during our massive Labor Day event.
Hurry into your local Sleep Number store today, because we have your number.
One of the down parts of the market in 2026, there's been some hotspots in semiconductors,
in energy, but software, SaaS stocks. We've talked about the SaaSpocalypse on this show.
And the potential disruption or the idea of disruption has hit a lot of those stocks.
But this week, that narrative was really broken, Tim.
What earnings reports stuck out to you?
Because it seems like almost every company that reported earnings this week did not report
something that filled that SaaSpocalypse narrative.
Well, not all of them, but I think it was probably better than expected.
And I think Datadog is the one that stands out for me.
That's ticker GDOG. Rallied over 30% on results for Q1 that were just outstanding,
much better than forecasters expected. Revenue was up over 32% and passed $1 billion in a quarter
for the first time. It was really impressive. This is also a very efficient company. For
every new dollar of sales and marketing that they invest, they got back $3.74 in revenue.
new. That's the kind of thing that boosts margins and gets you free cash flow, and they
are still reducing free cash flow. I think that's good. But the real story with Datadog
here, Travis, is that they have some AI-powered products. They have one that observes the
behaviors of GPUs. Those who don't understand Datadog, what Datadog does is it looks at
the infrastructure that you have as a company. It looks at how the software is behaving,
it interacts with systems and it looks for outliers. And when it spots outliers, sometimes
it takes actions. Sometimes it reports on it. A lot of the output of that is like logs, like have
a log. It says, Hey, all this crap happened. And that is actually really, really useful.
So useful. In fact, that they said, this is from CEO, Olivier Pommel, one of the co-founders.
And apparently he went on CNBC and said, we got seven and eight figure deals with two of the world's largest technology companies and it's for their AI research labs.
Now that sounds like, you know, you are hitting all of the buzzword bingo when you say that on CNBC.
So of course, and that's actually valuable buzzwords that is, you know, trying, that's like, that's not coming out of MBA school.
No. That's what people want to hear. So it's a healthy business that is growing fast,
has good margins, has free cash flow, and is doing deals that seem to the point that you made about,
hey, maybe we're breaking the SaaSpocalypse thesis here. It feels like, oh, wait a minute,
this is a company that has AI tailwinds. And I'm just going to maintain here, Travis, that
I still think enterprise software is the single greatest distribution mechanism
for AI technology and features. I think that is true. It doesn't mean there isn't going to
be disruption. There will be disruption. But if you are an enterprise software company and you
have AI that is delivering for customers and you can charge for it, I think you're probably better
off than the market is giving you credit for. Datadog proved that this quarter.
Dan, what stuck out to you? I took a look at Digital Ocean Holdings, that's tickered DOCN.
That stock was up between 40% and 50% this week. They announced their latest quarterly results on
Tuesday, and they had a bunch of AI-related news that helped build sentiment. They launched their
AI-native cloud product during the quarter. As a result of that, they saw recurring revenue from
their segment of AI-specific customers triple year over year. They posted 22% sales growth in
the first quarter of 2026, but they now expect that 2027 revenue growth will accelerate to greater
than 50% because of its embrace in AI. And I think to Tim's point, one of the most interesting
points inside of the report was DigitalOcean said that they saw by far their biggest growth come
from customers that are spending at least a million dollars on the platform. They saw a 78%
increase in the number of million-dollar customers that they have. That, I think,
is important because the SaaSpocalypse assumes that those big clients are the ones that have
the most financial incentive to do things on their own. Yeah, they're going to vibe code
something to basically replace their suppliers. Exactly. What DigitalOcean is saying is that,
if anything, the opposite is true. It's the biggest customers that are the most likely to
value the company-specific AI integration that a DigitalOcean, that a software-as-a-service
company is doing. That, I think, is the takeaway for SaaS companies is build those relationships
with your strongest customers because they're the ones that are going to be able to
let AI evolve with you, partner with you to take the best from AI rather than becoming
shadow competitors. Yeah, Tim, we got a minute left. It seems like the story that I'm gathering
from earnings season. Zeta Global is another company that I follow. Revenue is up 50%.
Another AI tailwinds. The story here is, investors have to think about, is AI naturally something
that is a tailwind for them? Or is AI something they're trying to shove into a product that isn't
really natural? I'm thinking of ServiceNow and Salesforce are companies that have been talking
a lot about AI. They haven't quite gotten the same reaction. Yeah, that's true. You have to wonder,
It's the difference between an organic, innovative, like it comes from the ground up, versus a
bolt-on.
If it's a bolt-on, it doesn't really work.
Now, what both ServiceNow and Salesforce have working for them is data inside their systems,
and you can build around that.
But it is going to be interesting, Travis, to see not only the startups that are building
from the ground up, but also the incumbent companies who are building new features from
the ground up.
I think the latter is going to be really, really interesting to watch.
When we come back, we're going to get into a time capsule and see what Dan and Tim think
about the next 10 years. You're listening to Motley Fool Hidden Gems Investing.
We like to have a little bit of fun in this segment, and I want to get Dan and Tim to jump
in a time capsule and see what the future is going to look like a decade from now also look at this
is what is going to be in the next big thing graveyard this is the challenge with investing
with technology if you get the big things right you can make a lot of money but if you get them
wrong you can end up owning stocks that go to zero and you're wondering why that's the case so
tim i'm gonna have you go first 10 years from now are we going to be still be using llms is a
product like ChatGPT or a Claude going to look similar like it does today? Or is that going to
be a thing of the past? No, I think it's going to be totally different. And by the way, what I love
about this, there's something internally we do on the investing team. It's something that Bill
came up with. I'm giving Bill way too much credit right now. So this is very uncomfortable for me.
This is very, very uncomfortable for me, but I will give him credit on this. We call it the
DeLorean exercise. So you called it a time capsule, but it's the DeLorean exercise from
back to the future where you go to the future and then you work back to the present. And so
if I do that into the DeLorean here, and in this case, I believe that what we see from these LLMs
right now is nothing like what we'll see 10 years from now. Usually technology over time abstracts
and the abstract layers get more and more abstracted. In this case, I think they get
more and more embedded. So you're not conversing like you do right now. It is entirely embedded
inside the system doing something. It is intelligent. It is acting with AI, but it is
embedded to an experience. So let's say you want to rent a car. Certainly, there is AI going to be
involved in that but your interaction will be say the voice interface or it'll be the phone
it'll be a chat but you're not really so is siri in a really good spot then that's the that's what
comes to mind maybe like maybe i i could see that but i just think embedded not explicit i think is
the big takeaway for me dan what do you think about the future of llms i i'd agree with that
in the sense that I mean there's still you know when I was a kid and learning programming I learned
machine language and there's still machine language out there it's just so deeply embedded
in language after language after model that nobody hardly anybody would be able to follow the path
all the way down to the zeros and ones that that make the computer do the things that the computers
are doing. So for me, it's going to be a question of user experience more than anything else. I
think that what the chatbots are doing are collecting valuable data on how do their human
users best relate to AI technology. They'll take that data. They will try to come up with form
factors that will better give the information that the most people want the most. And if there's a
way to facilitate that, if there's a way to streamline it, then yeah. For now, chatbots are
an effective way to get the data, but there's going to be more efficient ways to get the data
in the future. And that's the direction that I think most AI adopters are going to go in to try
to maximize that flow, the most relevant information as quickly as possible. And as Tim says, as a
result, it's not going to look the same. It's going to be a much more streamlined way of getting to
whatever it is that you want to do. So Tim, how does that impact a company like OpenAI? Again,
a company that could go public later this year. A lot of their value, I think, real or not, is
in the fact that they own ChatGPT. They have 800 million plus users using their products.
That consumer business is extremely valuable. Does that itself get abstracted away? And then
you're basically just a model company. And maybe that model layer is being commoditized too.
This is such an interesting thought process for investors because I think
what we see as value today may not be valuable 10 years from now at all.
Absolutely. This is why. So this is the right question, Travis, because this is why you are
seeing OpenAI build out an ecosystem. Why are they building out a browser? It sounds crazy that
they would build out a browser. Everybody's got a browser. The reason is you must own the portal.
Guess who owns the portal right now? That is not OpenAI. That is Alphabet. Alphabet owns the
portal. The reason we know this is because Chrome is everywhere. Chrome is the portal.
My OpenAI account, by the way, is a sign-in with Google.
So I've always thought that was a fascinating dynamic between us two.
So the portal is the thing.
You have to own the portal if you want to dominate.
And right now, OpenAI is in the race to own the portal, but they do not own the portal.
They don't.
And so whoever owns the portal is going to have real command, like a real grip.
on this side of the industry. This is why Alphabet has persisted and why they couldn't
be so easily disrupted by chatbots. All right, let's move on to the next one. Dan,
what is autonomous driving going to look like 10 years from now? Just to kind of lay the context,
Waymo is doing something like 500,000 rides a week. So they are out there. That is real.
They're really the only company that has scaled at all. Tesla is still kind of in this early
testing phase, but there's a dozen other companies. But 10 years from now, what does
this business look like? I think it's much bigger. I think it's going to take off. And it's much to
my consternation because there's nothing that I like better than getting behind the wheel of my
Mazda Miata and getting out on an open road somewhere. You can still do that, I think,
and I can ride in autonomous vehicles. It's all fine. It's allowed for sure. But right now,
it's funny. I've been to several big cities where there are extensive experimentation going on. I
was in Vegas a couple of months ago is the one that's most obvious. And they had the Waymo,
they had the Amazon products. There's all kinds of cars competing for eye time in the big markets,
but not seeing passengers in them for the most part yet. I think that the younger generations
are much more willing, much less excited about driving themselves, much more excited about putting
the time of their commute to work. And so I do think that all of this, yes, it's been a long
time coming. Yes, regulation has been slow. Yes, the promises have outpaced the reality.
But I do think that we eventually get there. And I'm also heartened by the work that we saw
recently over the past week or two from Joby Aviation, finally getting that electric vehicle
takeoff and vertical takeoff and landing experiment from a Manhattan helipad out to a JFK
airport on Long Island. That is a fascinating area for me. That's probably not a 10-year item.
That is probably a 20, 25-year item. But yeah, I do think autonomous driving is coming and there
will be huge demand for it from people who are not like me, but who are much happier not letting
somebody else take care of the transportation. Tim, I want to frame this even a little differently
to you. When Uber launched, it was the idea of getting into a stranger's car to take a ride
somewhere was crazy. And now it's just something that people, millions of people do every single
day, do we look back on autonomous driving as a similar step change in how we think about
transportation in general? I think we look back on autonomy
10 years from now as something that is a given. I think autonomy is a given. Is autonomous driving
a given? That I don't know. And what I mean by this is that, again, going how technology
historically has developed. Right now, autonomous driving is this big, massive thing. All the roads
have to be mapped, and we have to be able to have vehicles that can go anywhere autonomously.
I think this breaks down to very purpose-built use cases, and it doesn't always have to be a car.
it can be you know short hop so like cities can have autonomous vehicles that get you places so
like if you have for example a downtown civic transportation system might be light rail
would that light rail be autonomous i think it would be would you have short haul trains that
also are autonomous yeah i could absolutely see that of course will there be my trucks is another
thing we've been talking about for a long time. I mean, if you have, just think about something
that is predefined, purpose-built. Wherever there is a predefined route, I think autonomy
really has a chance to take over that use case. If it's wide open and really hard to define,
autonomy is going to be harder to disrupt that particular use case. But there's plenty that are
predefined, Travis. And I think autonomy takes those over. All right, Dan, I think I'm more on
your side with the bullishness, but my question for you is I have a nine-year-old, a five-year-old
and a one-year-old. At what point are they not going to learn how to drive? We live in the
suburbs. I'm assuming they would, even today, would get their license at 16. But are any of
those kids going to just say, yeah, you know what, Waymo or whatever it is, is ample. I don't even
going to need to learn. You're it's already happening, Travis. I mean, you're going to do
the right thing. You're going to teach your kids the skills that they need to live. We're getting
a manual. That's what we're going to do. That's right. That's right. You got to know how to do
the stick shift just in case. Right. No, seriously, I, it can happen at any moment, but, but like Tim
says, you know, I think that the, the predictability and therefore the ease of putting autonomous
driving into motion in areas and in use cases where there's greater predictability, it's higher,
it's easier to do than it is in unpredictable ways. And so odds are probably better that
those kids, if they're taking a school bus to school, that the school bus might be autonomous
than that they would then say, well, you know, I need to get from a certain point to some other
unpredictable point sometime in the future. Nevertheless, you know, the one-year-old,
I mean, you know, it's a 15-year time horizon. Yeah. I think that they're definitely going to
have the option, whether they're going to say, you know what, I like to drive. That's up to you,
dad. You got to figure that out. All right. Well, I'll try to sear them in the right direction.
All right. Let's end on this one. This has been a fascinating space to watch and that is
space cell service. You have something like SpaceX with their service. They're working
with T-Mobile. You have AST Space Mobile. It's one of those concepts that makes a ton of sense
in theory, but then in practice, you look around and you go, well, isn't a landline always going
to be faster? I have a fiber line coming into the house. There's 5G service ample around most cities
in the US and even around the world. So Dan, is space cell phone service going to be one of those
things that we look back and go, man, that changed everything? Or is that going to be in the technology
graveyard, at least for investors 10 years from now? Yeah, see, I hate to do this. I hate to do
the lawyer thing. I don't think that it's going to be like that everybody's got space cell service
on their phone. I don't think that the land-based networks are going to go away or going to get
fully replaced. But it's such a hugely valuable niche service that I don't think it's going to go
away either. One case in point. Does that mean that you can make money on it? That would be my
angle here because some of these companies are incredibly highly valued. So do they live up to
that economic potential? That I think, so can you make money on it? The answer is yes. Can you make
enough money on it to justify current valuations? That's more questionable. The way that you make
money on it is by identifying and carving out niche markets and then extracting the most value
from those markets. What we've seen lately that I'm aware of, Starlink just recently did a big
price increase for its general aviation customers. If you're going more than 100 knots, they
increased the price of Starlink service, it's like fivefold. While they have come back down and said,
okay, maybe we're not going to give that because there were a whole bunch of GA folks that were
just appalled by that and saying, hey, you got us to spend $600, $800 on a receiver.
And now suddenly, you're jacking the monthly subscription price up and threatened all kinds
of stuff. That I didn't think was going to go anywhere. But you've seen this from companies
like Garmin, ticker GRMN, where yes, their primary GPS technology got commoditized.
but there are niche purposes like aviation, like marine, where you're able to charge a lot more
because the marginal utility is a lot higher in those use cases. Same is going to be true for
this. Companies that are able to discreetly serve those markets and extract full value from them,
I think are going to be financially successful. Again, not sure if it's enough to justify
the valuations involved at this point, but they're not going to just disappear.
Tim, quickly, do you think we're going to have space phones, or is this kind of a flash in the
pan? Maybe, but I've got a simple phrase here for you, Travis, on making money in a sector like
this. Picks and shovels, baby. Picks and shovels. I'll tell you why. None of this works unless you
get more miniaturized satellites and you really introduced massive cost reductions in the unit
cost of launches. You have to have more mini satellites. You have to be able to launch them
effectively. You have to be able to launch them even probably from like you need to have space
platforms in which you can repair and also launch new mini satellites that would allow this kind of
network to act pervasively and give you the kind of coverage that would make these things affordable.
But that's the move. The phones themselves, who cares? The network itself, yeah, there's
infrastructure that needs to be built there. None of it matters. Not a lick of it matters
unless you get incredible unit economics in launch and mini-satellite. That would be where I'm
looking. That makes sense. Well, when we come back, we're going to get to the stocks on our
radar. You're listening to Motley Fool, Hidden Gems Investing.
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we like to end with stocks on our radar tim you're up first what do you got i got sport radar so dan
this is ticker srad they provide data to sports leagues and to gamblers and they got absolutely
crushed by two pretty damning short seller reports this was recently that accused them of doing
business with illegal gambling sites which is not great company has since denied the claims but
here's what's interesting, Dan. They just reported this week their earnings and revenues up 11.9%,
free cash flow up 37.5%. And I like this, following that report, CEO and founder Karsten
Koral bought 340,000 shares on the open market. That's sweet, sweet insider buying. I think that's
a signal that we should pay attention to. So Sportradar, ticker S-R-A-D. Dan Boyd,
What do you think about Sport Radar? Yeah. Illegal gambling, insider buying.
What's not to love there, Travis? I didn't have Tim as the one with the
controversial pick today. But Dan Kaplinger, what's on your radar this week?
Dan, I'm pitching another bargain stock opportunity. MercadoLibre ticker,
M-E-L-I, is down 10% after first quarter results. Revenue, very strong for the Latin American
e-commerce company, but profits were down. They missed the consensus forecast by quite a bit.
The concern here is that part of MercadoLibre's business is its MercadoPago credit division. It
has been boosting the amount of leverage it has as it extends credit to more customers.
U.S. investors seem to be concerned about that, but MercadoLibre knows its environment. It knows
its geography. It knows its customers. Big gains in merchandise volume over the e-commerce site,
total payment volume on the financial side, other key metrics. Long-term thesis is intact here,
and getting to buy on a 10% dip, I think, is a value opportunity for you.
Dan Boyd, what do you think about a discount for MercadoLibre?
Well, we all know that U.S. investors have never been wrong about anything ever,
So, we can take that to the back there. I think MercadoLibre is a great company. They have a long
history of doing a lot of cool things. They've been making money for a long time. I've already
been sold on MercadoLibre, and I don't think that potentially illegal gambling is going to
unseat them this time around. All right. So, well, congratulations to Dan Kaplinger
for taking the stocks on Dan's watch list this week. For Dan Kaplinger, Tim Byers,
and Dan Boyd behind the glass, I am Travis Hoyum. Thanks for listening to Motley Fool
Hidden Gems Investing. We'll see you here tomorrow.
