Forget Oil. These 3 AI Stocks Will Make Millionaires By 2029
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If you put $10,000 in Micron 1 year ago,
you'd have almost $40,000 today. And if
you drop that money into SanDisk, you'd
have over $100,000 right now. That's
because these companies are solving big
bottlenecks in the AI market. So, data
centers are buying everything they make.
And in this video, I'll highlight three
more AI stocks winning big for the same
reason, making them a great way to get
rich without getting lucky. Your time is
valuable, so let's get right into it.
First things first, I'm not here to hold
you hostage. This video is all about
optical networking, and here are the
stocks I'm going to cover. Lumentum,
ticker symbol LITE, which is the leading
supplier of lasers and optical switches
for AI data centers. Coherent, ticker
symbol COHR, which builds high-speed
transceivers and optical interconnects.
And Ciena, ticker symbol CIEN, which
builds long-haul optical networks
connecting multiple data centers
together. And of course, which of these
three stocks I think is the best buy
right now. I want to make the best use
of your time, so let's start with the
big picture and cover what these
companies have in common, like their
markets, their revenues, and their
risks. Right now, AI data centers have
three big bottlenecks: compute, memory,
and networking. They're also limited by
power, so every watt of compute, memory,
and networking matters even more. GPUs
used to be the main constraint, but with
each new generation, like Nvidia's
Hopper, Blackwell, and Rubin, we have
more compute capacity than most models
actually need. So, the real limit
becomes how fast those GPUs can access
data and how quickly that data can be
moved. That's why I spend so much time
covering companies like Micron,
Broadcom, and Arista Networks, and why
they've all outperformed the market. But
something big just happened in this
space, which is why I'm making this
video right now. Google DeepMind just
released a data compression method
called Turbo Quant, which optimizes how
data is stored, retrieved, and reused by
GPUs. Without getting too into the
weeds, every time an AI model generates
a token, it has to store lots of numbers
in what's called the KV cache. For
models with billions of parameters and
long context windows, that KV cache can
eat up most of a GPU's memory. Turbo
quant is a huge deal because it cuts the
KV cache size by over 80%. It speeds up
key parts of inference by up to 8x, and
it can be applied to existing models
without any retraining or fine-tuning.
This is a big breakthrough that will
affect many parts of the AI stack. But
here's the part we care about right now.
Thanks to Turbo quant, GPUs will spend a
lot less time waiting on high-bandwidth
memory, which means they can process a
lot more tokens in the same amount of
time, as long as the network can keep
up. That means the network just became
the next big bottleneck. So optical
networking just became even more
important. At a high level, optical
networking is just networking with light
instead of electricity. Traditional
routers and switches send electrical
signals over copper wire, which works
well for short distances, but breaks
down for large distributed AI data
centers. Optical networks transmit light
through glass fibers, which can carry
much more data over much longer
distances with much lower losses and
interference. So while copper is great
inside a server or inside one rack,
serious AI clusters need optics to move
data between racks, between buildings,
and even across continents using
undersea fiber. Optical links can push
400G, 800G, or even 1.6T of bandwidth
per port. G stands for gigabits per
second. Your copper internet connection
at home is probably hundreds of megabits
to 1 gigabit per second. If you Google
internet speed test, you'll see your
current internet speeds, and hopefully
they're close to what you're paying for.
1 gigabit per second is fast enough to
stream dozens of 4K videos at a time. A
400G optical connection in a data center
is 400 times faster than that. And 1.6T
means 1.6 terabits per second, or 1600G.
That's the kind of bandwidth that large
AI clusters need as GPUs start pumping
out more tokens every second. One more
important point before we get into the
stocks. Optical networking isn't a
single product. It's a full stack. Tiny
laser chips and photonic components
generate and detect the light.
Transceivers are the little plug-in
modules that sit in a switch or in a
server port to both transmit and receive
data, which is why they're called
transceivers. They turn electrical
signals from the chip into light at one
end of the fiber, and then they turn
that light back into electrical signals
at the other end. Then, full optical
systems and software stitch all those
links together into complete networks.
Lumentum, Coherent, and Ciena dominate
different layers of the stack, making
them great ways to invest in the shift
to optical now that networking is
becoming the next major bottleneck for
AI. But, while everyone's focused on AI
and chip stocks, gold has quietly
rallied by 50% in the last year alone.
The problem is owning a single miner
usually means a single team digging
metal out of a single hole in the
ground. That's where Versamet Royalties
comes in, the sponsor of this video.
Instead of running mines, Versamet
finances them and collects a slice of
every ounce produced through royalties
and metal streaming contracts. The
higher gold and silver prices get, the
more each stream is worth. Versamet
produced over 9,800 gold equivalent
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this isn't their first rodeo. Their CEO,
Dan O'Flaherty, previously built a
royalty company that got acquired for
around $750 million
and he's running First Met with much of
the same team. No wonder more than 75%
of shares are held by strategic
investors and insiders. So, if you want
to invest in a diversified portfolio of
gold and precious metals, especially in
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Royalties. They just began trading on
the NASDAQ on March 6th under the ticker
symbol VMET. This is not financial
advice and I'm not a licensed financial
advisor. So, do your own due diligence
before making any investment decision.
Investing in mining stocks involves
significant risk, including the possible
loss of your entire investment. So, make
sure to see the full disclosure in the
description below. All right, Lumentum,
Coherent, and Ciena all sell into the
same core markets, hyperscale cloud
providers building AI clusters, big
telecom operators upgrading their
infrastructure, and large enterprises
that need high-capacity connectivity.
That ties their revenues directly to the
same capex cycle that drives Nvidia,
Broadcom, and the rest of the data
center stack. They also have similar
business models, heavy upfront
investments in research, fabs, and
specialized manufacturing that turn into
multi-year design wins and supply
agreements for lasers, modules, and
end-to-end systems. That means their
margins depend on how fast hyperscalers
and telecom carriers are expanding.
Since the more they sell, the more
revenue they make against these big
upfront fixed costs. They also have
similar risks, like customer
concentration. A handful of cloud
providers and telecom companies account
for a big chunk of this market. So, any
pauses on spending can hit all three of
these companies at once. They also sit
in the middle of complicated global
supply chains for things like wafers,
lasers, and advanced packaging. So,
supply chain disruptions, export
controls, or tariffs can impact costs
and delay delivery timelines. And they
all have serious competition from tech
giants like Broadcom, Nokia, and Huawei,
which limit their long-term pricing
power once supply catches up with
demand. But on the flip side, they also
have the same big tailwinds. AI optics
alone are projected to jump from roughly
an $18 billion market 2025 to around $90
billion by 2030. And every time
companies like Nvidia and Google solve a
computer or memory bottleneck, they put
more pressure onto the network.
Lumentum, Coherent, and Ciena are all
positioned to capture revenue by
releasing that pressure. Let's start
with Lumentum, ticker symbol LTE,
because they're currently the leader in
lasers and optical switches for data
centers. Lumentum's latest quarter
really tells the story here. The revenue
came in at $665 million,
which is up 65% year-over-year. Their
non-GAAP operating margins came in at
25.2%
up from just 8.2% a year ago. Most of
that growth came from their component
segment, which sells the laser chips and
photonic parts that go inside high-speed
transceivers and co-packaged optics
modules for hyperscalers. When you hear
the term co-packaged optics, that just
means that the optical engines, which
are the parts with the lasers that turn
electric signals into light and light
back to electric again, sit right next
to the chip instead of at the edge of
the circuit board. Today, most switches
use pluggable transceivers in the front
panel, which means every bit of data
moves as electrical signals for several
centimeters before getting converted
into light. At 800 or even 1600G speeds,
that burns a lot of power and adds a lot
of losses. But co-packaged optics put
the lasers in the same package as the
switch chip or the accelerator, which
makes the electrical distance a few
millimeters. That 10x reduction in
distance cuts power per bit by 30 to 70%
it improves signal strength and it lets
hyperscalers keep scaling to 1.6 or even
3.2 terabit per second speeds without
melting their chips or their cooling
budgets. That's why massive AI clusters
are shifting more of their networks to
optics and Lumentum's ultra-high power
lasers and optical engines are being
built specifically for these
deployments. So, if co-packaged optics
are the future of AI networks, then
Lumentum is the company selling the
light. Lumentum's revenue from
components hit $444 million last
quarter, representing about 2/3 of their
total sales. And management is now
guiding for around $805 million
in total revenues for next quarter,
which would imply 21% growth quarter
over quarter. At OFC 2026, which is the
Optical Fiber Communication Conference
held earlier this month, Lumentum's
management laid out a path to $2 billion
in quarterly revenues within the next 2
years, roughly a 3x from here. That
number is backed by real orders. The
backlog for their R300 optical circuit
switch is now over $400 million
and they're already booking massive
orders for co-packaged optics shipments
starting in 2027. And of course, Nvidia
announced a multi-year agreement with
Lumentum earlier this month, including a
$2 billion cash investment and a
multi-billion purchase agreement for
lasers and optical engines. Nvidia gets
priority access to future capacity for
optics and Lumentum gets the funding and
demand visibility to build out a new US
fab in North Carolina to support up to
$5 billion in revenue capacity once it's
fully ramped up. For investors, the
takeaway is simple. Lumentum is becoming
a core part of Nvidia's plan to scale AI
factories. Revenues and margins are
growing fast. Their backlog points to
multi-year growth and Nvidia's $2
billion investment and purchase
commitments help lower their overall
risk. If networking really is the next
bottleneck for AI, then Lumentum is one
of the few companies positioned to solve
it, especially with Nvidia in their
corner. All right, let's cover Coherent
next, ticker symbol COHR. Coherent
reported $1.7 billion in revenue last
quarter. That's up 17% year-over-year
with non-GAAP gross margins of roughly
39% and non-GAAP earnings per share of
$1.29.
That's up roughly 35% from a year ago.
That growth comes from their data center
and communication segment, which
generated about $1.2 billion in revenue
for the quarter. That's up 34%
year-over-year and now makes up over 70%
of their total revenues. While their
legacy industrial segment stayed roughly
flat, that shift from industrial to AI
matters because of how Coherent makes
their money. Unlike Lumentum, which
focuses mostly on components, Coherent
is vertically integrated across the
whole photonics stack. They design and
manufacture their own laser chips,
package them into optical engines, and
build complete 800G and 1.6T
transceivers and other systems around
them. On their latest earnings call,
Coherent's management team said that
most of 2026 is effectively booked with
orders extending into 2027. And for
every dollar of optics they delivered,
they booked over $4 of new demand.
That's a very clear signal that demand
is far ahead of supply, giving Coherent
a very healthy revenue backlog to work
through. But a big part of Coherent's
competitive edge is their 6-in indium
phosphide wafer fabs. Let me break that
down for you. Silicon is great for
compute, but it's terrible for making
light. Indium phosphide, or InP, is
great for making and detecting the laser
light used in fiber optic networks. So,
it's the go-to semiconductor for lasers
in optical transceivers, modulators that
encode that data onto light, and
photodetectors that convert it back to
electrical signals on the other end.
Moving from 3-in to 6-in wafers lets
Coherent make more than four times the
chips per wafer while cutting die costs
by over 60%. That's a massive cost,
capacity, and margin advantage in a
supply-constrained market. At OFC 2026,
that same conference, Coherent showed
off their 1.6 terabit transceivers. They
showed off advanced optical engines and
end-to-end optical systems all built on
the 6-in InP process. And just like with
Lumentum, Nvidia signed a multi-year
strategic partnership with Coherent,
including a $2 billion investment and a
multi-billion dollar purchase commitment
for advanced lasers and optical
networking products. As an investor, I
really like Coherent's full-stack
approach to optics. While Lumentum is
leaning into lasers, optical engines,
and switches, Coherent is building the
entire chain from their 6-in wafers all
the way to high-speed transceivers.
Their revenues and margins are expanding
thanks to explosive demand from AI data
centers. While Nvidia's $2 billion
investment plus their purchase
commitments lower the risk of all that
upfront spending to ramp up production
capacity over the next few years. Talk
about a great way to get rich without
getting lucky. And that leaves us with
Ciena, ticker symbol CIEN. Ciena sits
one layer above Coherent and Lumentum,
turning all of those advanced optics
into full AI networks. Ciena just had a
record quarter, over $1.4 billion in
revenue, which is up roughly 33%
year-over-year. And their adjusted
earnings per share more than doubled
from a year ago. They ended the quarter
with a $7 billion backlog, which grew by
$2 billion in just the last 3 months.
But what's really changing for Ciena is
their customer mix. Revenue from cloud
providers grew by 76% year-over-year and
now represents roughly 40% of their
total revenue. A big shift from their
traditional telecom carrier base to
hyperscalers that are buying optical
systems and data center interconnects.
Ciena specializes in high-end optical
signaling to squeeze more data into each
fiber over longer distances. For
example, their WaveLogic 6 is the
industry's first 1.6 terabyte per second
solution that runs over a single
wavelength. That lets operators double
capacity on existing fibers while
cutting power per bit, which effectively
gives more power back to the GPUs.
They're also working on AI-ready
networks for neoscalers, which are AI
and cloud companies that want simpler,
higher capacity networks that use less
space, less power, and less cooling. The
goal here is to automate more network
operations, keep latency low, and
utilization high across AI clusters that
span multiple data centers. As an
investor, I think of Ciena as the
systems in silicon that sits one layer
above Coherent and Lumentum. Those
companies sell the lasers, the engines,
and the transceivers, while Ciena
packages them into full networks. So,
they win no matter which laser company
comes out on top. And now that we have
all that context, we can answer the big
question, which optical networking
company is the best investment right
now? And if you feel I've earned it,
consider hitting the like button,
subscribing to the channel, and sharing
this video. That really helps me out,
and it lets me know to make more content
like this. Thanks. Now, let's talk about
Lumentum, Coherent, and Ciena stock. I
think Lumentum is the most focused way
to play the component side of AI optics.
They're doing $665 million in quarterly
revenue. They're growing 66% year over
year with 42% gross margins and 25%
operating margins while guiding to even
higher margins over time. On top of
that, they're building the lasers, the
optical engines, and the switches that
are already designed into next-gen AI
networks. And they have Nvidia as a
strategic partner that de-risks a lot of
that roadmap. So, if you want exposure
to AI optical demand without paying for
full systems, Lumentum is for you.
Coherent is all about vertical
integration. They own the 6-in indium
phosphide wafer fabs, design their own
laser chips, and ship complete 800G and
1.6T transceivers. Their data center
revenue is growing fast. Their data
center backlog is growing four times
faster than their shipments. And they
have a multi-billion dollar investment
and purchase agreement with Nvidia. So,
if you're the kind of investor that
looks for vertically integrated
companies that are also funded by
Nvidia, Coherent could be for you. Ciena
sits one layer higher, turning lasers
and optical engines into full networks
that stitch AI data centers together.
They just printed $1.4 billion in
revenue, which is up 33% year-over-year.
They have adjusted gross margins in the
mid-40s and a $7 billion backlog that
gives them better revenue visibility
than most hardware companies can dream
of. With cloud and hyperscaler customers
now driving a big chunk of their
business, Ciena makes sense for
investors who want a more diversified
systems-level way to play the optical
networking buildout. Personally, I'd be
happy owning all three since that would
give me broad exposure to the whole
industry from the laser chips and the
engines all the way up to the full AI
networks. But if I had to pick a single
winner based on today's growth, backlog,
positioning, and
pick Coherent because I think their 6-in
wafer process plus Nvidia's investment
give them the deepest moat and the best
ratio of risk to reward. I'm also a huge
fan of vertical integration. But let me
know which stock you're buying below. Or
if you want me to make a deep dive video
on any of these companies. And if you
want to see more science behind the
stocks, check out this video next.
Either way, thanks for watching. And
until next time, this is ticker symbol
U. My name is Alex, reminding you that
the best investment you can make
is in you.
Ask follow-up questions or revisit key timestamps.
This video examines the vital role of optical networking in the evolving AI landscape. As bottlenecks in compute and memory are increasingly mitigated by innovations like Google DeepMind's 'Turbo Quant,' data movement has become the new critical constraint. The video highlights three key companies—Lumentum (LITE), Coherent (COHR), and Ciena (CIEN)—that are uniquely positioned to solve this network bottleneck, analyzing their market roles, strategic partnerships with Nvidia, and individual growth prospects within the optical stack.
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