The Next Tech Boom Is Optics (3 Stocks to Buy Now)
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https://www.youtube.com/watch?v=EWN7tpFUYYM
Statut
Analyzed
Demandé Le
June 26, 2026 at 06:00 AM
Performance Globale
-11,45%
Recommandations
MU
BUY
"“you were recommending MU how long ago? This was last year.”"
Contexte: Bridget references Lucas’s prior newsletter recommendation: “I think it's also important to point out on your newsletter you were recommending MU how long ago? This was last year.”
Prix à la date de publication: $1 213,56
Prix de clôture du dernier jour: $991,64
(Jul 10, 2026)
Bénéfice/Perte:
$-221,92
(-18,29%)
CIEN
BUY
"“This is a wonderful name and I think this is a great buying opportunity on a pullback.”"
Contexte: Discussing Ciena (misstated as “ticker CN”) during a pullback: “This is a wonderful name and I think this is a great buying opportunity on a pullback.”
Prix à la date de publication: $484,69
Prix de clôture du dernier jour: $462,34
(Jul 10, 2026)
Bénéfice/Perte:
$-22,35
(-4,61%)
CIEN
BUY
"“I think this one is in the penalty box and it's a great entry for a very big long-term story.”"
Contexte: Further reinforcing entry timing for Ciena: “I think this one is in the penalty box and it's a great entry for a very big long-term story.”
Prix à la date de publication: $484,69
Prix de clôture du dernier jour: $462,34
(Jul 10, 2026)
Bénéfice/Perte:
$-22,35
(-4,61%)
Transcription Complète
It's one of the fastest growing sectors of the
market right now, but these are names you may not have heard of yet. Joining us today is Lucas
Downey with Tradesmith. He is going to be going over three optic stocks and talking about
this sector and why there is still a ton of opportunity for growth here. Lucas, I'm so glad
to have you on the show. Always good to have new guests here. Would love to start out with your
take on kind of the whole AI market. I know that is your specialty. It's an area that you are
constantly looking in and that big discussion this week especially is how much room can be left
in this AI story. Have we reached the the full growth or is there still opportunity for investors
here? Bridget, thanks for having me. Yeah, I mean AI has really taken everybody by storm including
Wall Street. Over the past year, we have really come to understand that there are layers to the
AI data center buildout. I'm sure you're hearing that from other guests. they're building them day
after day across this country and even globally. So what I try to do is look at all of the layers
and there's really five key tenants, five pillars to an AI data center. So the first part right that
most of us know is kind of the infrastructure. So you think about land, you think about site
development and all that type of stuff. Then you get into power, right? Because you got to power
all of these data centers. Okay? So that's your utilities, your generators, things like that. Then
you got to cool everything. So there's that third layer that's cooling. Then you get into compute
and memory. It's kind of like the brain of the AI data center. Micron just had blowout earnings.
So this has been kind of the key bottleneck over the past year. And then as we're getting into
today is that fifth layer that's networking and connectivity. So you got to think in terms of
listen there's high-speed networking, there's pipes, there's fiber, there's optics. All of this
is being refreshed as people find new technologies to build these data centers. Yeah. Every area
you just talked about, all those bottlenecks of where there's so much demand to build out all
of the AI infrastructure around the country, really around the world, is where we're seeing
so much growth. Again, Micron is a great thing to bring up this morning because it's what everyone's
talking about. Their earnings are unreal. Um seeing I think at least something over 80%
margins, which is just unheard of in a market. So it just shows how much money is flowing into this
area right now. And I also that word bottlenecks, we had one of your colleagues, Keith Kaplan, the
CEO of Tradesmith, was on just last month talking about those AI bottleneck. So I'll link that
interview at the end of this one. So make sure you you take a look at that where he talks about some
of those areas specifically. But this optics area, the the cables involved in the buildout of the
AI data centers, it's not something that on this show we've covered all too much. which I know
we've heard a few different names here and there because they've seen tremendous growth, but the
names that you have for us today are very, very different. So talk a little bit more about what
this entire little group of stocks have in common, why there's such demand for them in this AI story
right now. So you know, if you think about the AI infrastructure capex, it's approaching a trillion
dollars, right? So this is big money that is being spent to upgrade basically the newest technologies
out there. And so as it relates to networking and connectivity, there's this huge global shift
that's happening away from copper and into optical links. So this is glass. This is using light,
right? And so this gives these data centers a lot of interesting advantages. One is it can be
less latency. Speed is very important, right? As we go in, we use these large language models,
everything's kind of refreshing and caching, right? because there's just so much compute
that is passing through all of the wires. Also, um there's less heat that is involved when
you have glass and fiber, right? And so that means you don't have to cool it as much. So
there is a cost savings and that is why there is this huge buildout that is happening. And as
we get into other stocks that we'll talk about, there are some players that are getting these
multi-year deals with hyperscalers, right? So this isn't like a 2026 story. This is till 2030 and
beyond. And that just goes to show just how big of a buildout this is. And again, I just want to use
the word bottleneck. There is only so much of this uh component to go around that we are starting
to see bottlenecks in the optics space. We're going to get to the three names where you see
a lot of those bottlenecks happening right now. But before we do, I have one other burning
question and that's that these companies, they're not brand new. This isn't like new technology,
is it? I feel like this is something that's been around for a while. It's just being re repurposed
and the demand is being renewed because of these data center buildouts. Is that right? That's
correct. So, yes, some of these companies have been around for over a hundred years. Companies
are starting to see, wow, new technologies are coming about. Oh, look at what they're building
out. And then you start to see that, oh, I want to get that technology into into our data
centers, right? And so when you think of optics, it's really uh five to six different layers to
this. So the first thing is, you know, you got to generate the light. Second thing is that it's got
to travel through the fiber cables. Then you kind of have this traffic direction, right? That you
have to the signaling. Then you have the physical connections, right? Putting everything together.
So this is all the suppliers. Then you have the manufacturing, the optical components, and then if
you get real nitty-gritty, you really have to keep the signals clean. So there's a cleaning component
that goes into um all of this ecosystem. Yeah, you are clearly understand the technicals very well.
And I know that this sector, the AI buildout, is your specialty and it's what you write about in
your newsletter, the Tradesmith Investment Report. If you want to learn more from Lucas and his team
at Tradesmith with specific information on some of the biggest latest trends in the AI buildout,
well, good entry points on different names entering the race, and then times when it's time
to cash out on some of the names you've invested in, that's what this newsletter covers. You can
get a special offer for our Market Beaters today by scanning the QR code or going to the link in
the description to sign up for the investment report newsletter today through Tradesmith. Again,
we've got that link for you in the description. Okay, Lucas, let's get into your list today.
And the first optic stock that you are looking at. The first one we're going to be looking at
is Anthanol. And this is ticker AP. Amphanol. It's one of the world's largest manufacturers of
electronic connectors and interconnect solutions. So, think about connections. They had some
big uh acquisitions last year that's really helping them in the optics space. But I think
the easiest way to think of them is, you know, they're not making the lasers or the chips, but
it's more that they are leading in the connectors, the cables, assemblies, all of that. It's a
$200 billion market cap firm, and they just had one of the biggest earnings blowouts of the
season. So, revenues came in at 7.62 billion. This is way above the street analyst estimates
of 7.08 billion. EPS also beat. Their guide was well above. And so I think these are the types
of companies, right? They come out, they report, they beat, they raise, they tell you that, you
know what, demand is very, very robust. And so these companies get rerated. And so this is one of
my favorite names to play the optical move. Yeah, that earnings report is what stood out to
me. I was just looking at it and was like, "Wow, this is quite an earnings beat for this
company." Is this the first quarter that we've seen that from this company? Is it just starting
or have they had a track record over the last few quarters of kind of similar story? They've
had a track record of beating, but I think the magnitude of this latest beat is what kind of got
everybody on their side of the boat. You start to see analysts start to revise their numbers higher.
That is a key note that Wall Street's been behind the ball on this name. And again, it's just one
of these multi-year, you know, segments that are playing out through the data center buildout. So,
this is a great company. It's not slowing down anytime soon. Yeah, that's the question everyone
has is, is it going to slow down? Can this growth story continue? Every time we talk about these
kinds of AI infrastructure stories, I hear from viewers who say, "Well, it's already gone up so
much." And this one has had a tremendous year. It's up about 71% in the last year. It It's not
the biggest AI growth story we've seen in a year, but it is already doing really really well. So,
what is your uh outlook for growth for this one over the next few years? What's your time horizon
looking at this stock too? Okay, so time horizon is very important. So we're definitely looking
at multi-year and this is one of those names that have doubledigit revenue and earnings growth uh
out for the next few years. So again, it's not a 2026 or even 2027 story out to 2028. This company
is really starting to see the inflection points right now. So this is a core name and a space
that really isn't stopping. And as we get into the second name, I think it'll make it clear just how
big and just how widespread, you know, the whole optical buildout really is. Now, before we get
to that other name, another quick question about the optics uh layout because we don't talk about
it too often on the show. So, for some people, it's really understanding uh the unique space that
this company fills compared to the others we're going to get to. I really want to see a little bit
about that competitive space in the optics area. Do some of these companies work together? Are they
directly competing? Do they do they fill different needs within the optic space? Yeah. So, Anthenol,
I mean, it's really physical connections. So, you think high-speed connections, interconnects. So,
they're linking all of the components, right? So, you got to think racks, got to think servers,
you got to think systems. So, every connection, it counts in the world when you're talking about
moving in nanoseconds, right? And so, this is uh a lot of different connections over a very robust
ecosystem. And I think that's what makes Amphanol very very unique here. All right, so a unique
first company, not a stock figure we've ever had on the show before. So really good to hear new
names that are doing so well uh and seeing some really strong earnings right now. Let's get to the
second company on your list of optics companies here watching. Yeah. So the the next one is a a
name that you know a lot of us have probably heard of and this is Corning. The ticker is GLW. And
they really are just fiber cables. I mean it is as simple as that and they are really at the center
of the manufacturing of the next generation of optic cables. So they're really your global leader
foundational technology data transmission. What is really interesting about this company is they
have really uh linked some massive hyperscaler deals. So just recently they had a deal with
Nvidia and this is a US manufacturing optical connectivity for AI infrastructure and basically
Corning is going to increase their USbased optical connectivity 10x and US fiber capacity by more
than 50%. Okay, so that was one deal. Then I believe it was last week they announced a
deal with Amazon. This is a multi-billion dollar deal for US fiber manufacturing as well.
So this is a huge name. They're linking a lot of these big companies that are not stopping the data
center buildout at all. Right? And you're talking about cables that span oceans. Okay. So this is a
massive monumental buildout that is happening and this company is just right at the center of this
whole revolution. Yeah, you can absolutely see that in the price action on this stock. You look
at the chart and it's had a tremendous year. So going back to that that main question that a lot
of our viewers have when they look at these stocks is it's run up so much already. This is a name
like you said many people are familiar with. But let's look at your your time horizon and growth
predictions on where this company could go. Those deals that you just said are a good indicator that
that growth story may not be over yet. Yeah. So this is really a 2028 story. So they recently were
at a JP Morgan conference and they highlighted that their sales run rate is projected to reach
20 billion by the end of this year, 30 billion by 2028. Then they even ventured to say that 40
billion by 2030. So you got to see the longer term uh horizon here. Also for this year EPS is slated
to be $3.19. It's going to bump up to $421 and then it's going to accelerate to 575 in 2028. So,
I think this whole refresh, this revamp, it's got a lot of excitement. That's why you're seeing the
stock start to perform. But what I think is these numbers can be revised higher because if they can
link deals with Nvidia, they can link deals with Amazon, there's going to be more hyperscalers that
are going to want to work with Corning. Yeah, that growth projection is really interesting to see how
much demand they're expecting. I think the next question is can they keep up with that demand?
How's production going? How's that that backlog of theirs going to do with all this demand coming
in? Well, I think that's why they're partnering so that they can build out further capacity. I think
that was the key takeaway whenever they launched this huge deal with Nvidia. Uh because there just
isn't enough components out there. So, we have to build that capacity. So they're taking funds from
Nvidia to to kick everything off and then they're going to be bringing more and more manufacturing
through the US. So this is a big construction story that is multi-year in the making. Yeah,
that's the thing with these AI infrastructure stocks is it's not just a one-time deal that the
deal is signed and that's the the only contract they have coming in. That buildout takes so long.
So the story and growth story is also longer for a lot of these names even though they've already
seen some some really good performance so far. I want to talk about what you mentioned with the
the last stock and that's analysts catching up to the kind of growth that they're seeing. You
look at this one, it's already soaring above that consensus price target. We are starting to
see some higher price revisions. But what do you think about where the analyst community sets on
their their price targets for a stock like this versus what we're seeing in the orders and the
backlog and the demand for what they're offering? I think as more and more of the analysts start to
learn about these companies, right? They start to speak to these companies, I think they're going
to come to the realization that their numbers are too low. Instead of just looking at analyst price
targets, I look at what they're saying in terms of the the EPS. And every time they launch any
of these deals, right, whether it's with Nvidia, whether it's with Amazon, you see that a group
of analysts just revise their earnings up. So, if you can imagine, it just continues to go up and
to the right. Um, and I look at these numbers on a weekly basis, and you know, I'm plotting them in
in my models, but it is just clear as day that the analysts are always playing catch-up with a lot of
these leaders. And so, I think their price targets are going to continue to just go up and up. You've
been hearing lately how people are starting to, you know, all of the sudden raise micron numbers,
right? They literally sat on it for all of a year and then it goes for like a thousand points higher
where they come out and they they raise. Um, so I think you're going to start to see that in
the optical space as well. That's such a great comparison of the analyst community catching up on
Micron and we heard from so many viewers who said, "Well, Micron's already run its course. It's
already gone up too high. We don't want to get in now." And then we continue to see that
raise that you were talking about. So relying on what the analysts are saying, they're also
just trying to figure out exactly what these companies are valued at because this AI buildout
story is so unique and it's happening so rapidly. So I think that's a great point. I think it's
also important to point out on your newsletter you were recommending MU how long ago? This was
last year. So we were very fortunate to to be way ahead of analysts and really Wall Street on that
trade. Yeah, that's exactly what you cover in your newsletter. So again, if you want to take a look
at Lucas's newsletter where he is focused in on getting ahead of that AI story and sharing it with
his subscribers, you can check out this special offer by scanning the QR code or going to the
link in the description for again a special rate at joining the investment report for Tradesmith.
It's a great way to get ahead of some of these names and the growth story that is still very much
unfolding. Lucas, let's get to that last name in the optics story that you are following today.
Yeah. So, the last name is going to be Sienna, and this is ticker CN. And I like to think
of them in terms of a traffic cop, right? So, they're routing the light speeded signals to all
of the destinations, right? So, it's got to make sure it gets to where it needs to go. They've got
deals with hyperscalers. Um, and you just have to think of the scale that's across all the the
optical network and think of it as a distributed, you know, AI system, right? There's all these
clusters and all these different locations. And so Sienna really specializes in making sure
that everything gets to where it needs to go. And you know what, they also have some software. They
have automation tools. Um, but this is a critical component player to hyperscalers. It's all about
bandwidth and just really moving all of that data, getting it to where it needs to go. This is a name
we've had on the show before. I've heard this one before, but I think for me, this this sector is so
new, it's hard to differentiate what areas these three different companies fill. So can you share
a little bit more about how Sienna is providing a different product than the other two names
we just shared? Sure. So just think in terms of systems traffic direction. It's really more of
an intelligent networking systems where they're routing light. They're optimizing bandwidth and
they're also reducing congestion that can happen with all of these different interconnects. They're
really key of making sure that all of the data that is being transmitted that it gets exactly
where it needs to go. And listen, sometimes you've got thousands and thousands of different packets
of data that are communicating all over the place. Sienna is going to make sure that all of that
gets to where it needs to go. Yes, you can have the best memory chips out there. You can have the
the best compute space, but unless it has the good connection, we know this in cameras. if we don't
have a good cord connecting our camera to our system, uh, nothing works. So, that connector is
just as important and such a a critical component of the whole data center AI story. So, this is
a a great company to look at, but the chart on this one is a little bit different than the other
two that we just covered. Zanna is in a little bit of a pullback right now. It's had a tremendous
runup, still up nearly 500% for the year. So, was it just naturally time for that pullback
because of the the amazing run this stock has had? What's your thought on what is happening with this
stock chart today? Sure. I think you know as as we are in the the heat of summer, we've got a lot
of rebalancing that's happening this week. You got the Russell reconstitution. Even next week,
you got a big quarter end rebalance. I mean, we're talking serious money is just being
mechanically moved around and so different stocks are getting moved all over the place.
They're getting moved up, they're getting moved down. This is a wonderful name and I
think this is a great buying opportunity on a pullback. I think this is a long run story.
The reason for that if you go back to their earnings they blew away EPS $164 this is versus
estimates of 146 revenues were up and away also for their fullear guide they took that up to 6.3
billion well above the estimates of 6.15 billion they noted margin expansion all right these are
the things that you want to hear also for full year 2026 estimates are for EPS to come in right
around $653 it's going going to go up to $965 next year and then it's going to balloon to $1428. One
thing I like to focus on is where is the earnings, right? Because if earnings continue to go up and
they are every time you run the numbers eventually the stock is going to follow those earnings. I
mean that's why we invest in the first place, right? To get a share of future earnings. I think
this one is in the penalty box and it's a great entry for a very big long-term story. Yeah, I
think it's so key for investors to to focus on those earnings and to focus on the fundamentals
of how much money is this company bringing in and what are they expected to continue bringing in in
the future. But right now, especially this week, it feels like there's so much market sentiment
tied to the entire AI growth story. And so would love to hear your thoughts for this name as well
as the other names we covered in this video. just talking about how to navigate the different fears
and the headlines that can come about when we see these random pullbacks in the entire big tech
market when we start to see renewed fears of an AI bubble. Uh this has been the ongoing eb
and flow story uh in AI stocks for really the last two years almost especially the last year.
What do you do with those kinds of moments in the market? Yeah. No, that's a great question. I
mean one thing that we specialize at tradesmith investment report is we also are looking at at
money flows and so that's where I spent a lot of my career on institutional trading desk trying
to understand like is this a real pullback or is it more of a rotational pullback one thing that
I found that was very interesting over the past couple of years is a lot of stocks used to move in
these sectors right so you'd get long tech you get long you know this other area but then we started
to notice that markets moving more thematically, right? And so you started to see these baskets
start to uh really shape up together. So maybe memory and storage started to move, maybe optical.
And I think as long as you're kind of following the money and you're realizing that there's just
rotations that are happening as these stocks are pulling back, it leads us to believe that this
isn't, you know, market uh money coming out of the market. It's just people just doing rotations
for all different types of of reasons. And it all comes back to a couple of things. One is earnings
continue to get revised higher. And it's not day after day. It has been month after month nonstop.
And even still, if you just listen to earnings, we're about to be at earnings season in the
next couple of weeks. Just like people were wrong about Micron, you know, the last three,
four quarters in a row. they're probably going to be wrong on a lot of these companies. And so I
think people should step back. There's going to be some volatility in the summer. There's going to
be some volatility um all the time. But I think if you are looking for highquality companies,
right, where they've got great management, they have these long-term deals, you got to think
big, massive themes. Then these are the companies that you're going to want to be focused on. And
last, I would say is as long as the earnings, right? As long as analysts continue to take those
numbers up, chances are the stock is going to be rerated higher after the shallow correction
happens. Such good information for investors today. Lucas, thank you so much for your time.
It was so great to have you on the show. Again, if you want to learn more about the AI bottleneck
story and where so much of this money is flowing for the buildout of the entire AI infrastructure,
make sure to watch this video with Cube Kaplan we had on last month. It has so much good information
about the AI story and some specific stocks that are very interesting in the AI buildout
story, too. You can watch that full interview