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Forget Oil. These 3 AI Stocks Will Make Millionaires By 2029

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Forget Oil. These 3 AI Stocks Will Make Millionaires By 2029

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512 segments

0:00

If you put $10,000 in Micron 1 year ago,

0:03

you'd have almost $40,000 today. And if

0:06

you drop that money into SanDisk, you'd

0:08

have over $100,000 right now. That's

0:11

because these companies are solving big

0:12

bottlenecks in the AI market. So, data

0:15

centers are buying everything they make.

0:17

And in this video, I'll highlight three

0:19

more AI stocks winning big for the same

0:22

reason, making them a great way to get

0:24

rich without getting lucky. Your time is

0:26

valuable, so let's get right into it.

0:29

First things first, I'm not here to hold

0:30

you hostage. This video is all about

0:32

optical networking, and here are the

0:34

stocks I'm going to cover. Lumentum,

0:36

ticker symbol LITE, which is the leading

0:39

supplier of lasers and optical switches

0:41

for AI data centers. Coherent, ticker

0:44

symbol COHR, which builds high-speed

0:46

transceivers and optical interconnects.

0:49

And Ciena, ticker symbol CIEN, which

0:52

builds long-haul optical networks

0:54

connecting multiple data centers

0:55

together. And of course, which of these

0:58

three stocks I think is the best buy

1:00

right now. I want to make the best use

1:02

of your time, so let's start with the

1:03

big picture and cover what these

1:05

companies have in common, like their

1:07

markets, their revenues, and their

1:08

risks. Right now, AI data centers have

1:10

three big bottlenecks: compute, memory,

1:13

and networking. They're also limited by

1:15

power, so every watt of compute, memory,

1:18

and networking matters even more. GPUs

1:21

used to be the main constraint, but with

1:23

each new generation, like Nvidia's

1:25

Hopper, Blackwell, and Rubin, we have

1:27

more compute capacity than most models

1:29

actually need. So, the real limit

1:31

becomes how fast those GPUs can access

1:33

data and how quickly that data can be

1:35

moved. That's why I spend so much time

1:37

covering companies like Micron,

1:39

Broadcom, and Arista Networks, and why

1:41

they've all outperformed the market. But

1:43

something big just happened in this

1:45

space, which is why I'm making this

1:47

video right now. Google DeepMind just

1:49

released a data compression method

1:50

called Turbo Quant, which optimizes how

1:53

data is stored, retrieved, and reused by

1:55

GPUs. Without getting too into the

1:58

weeds, every time an AI model generates

2:00

a token, it has to store lots of numbers

2:02

in what's called the KV cache. For

2:04

models with billions of parameters and

2:06

long context windows, that KV cache can

2:09

eat up most of a GPU's memory. Turbo

2:11

quant is a huge deal because it cuts the

2:13

KV cache size by over 80%. It speeds up

2:17

key parts of inference by up to 8x, and

2:19

it can be applied to existing models

2:21

without any retraining or fine-tuning.

2:24

This is a big breakthrough that will

2:26

affect many parts of the AI stack. But

2:28

here's the part we care about right now.

2:30

Thanks to Turbo quant, GPUs will spend a

2:33

lot less time waiting on high-bandwidth

2:35

memory, which means they can process a

2:37

lot more tokens in the same amount of

2:39

time, as long as the network can keep

2:42

up. That means the network just became

2:44

the next big bottleneck. So optical

2:46

networking just became even more

2:48

important. At a high level, optical

2:50

networking is just networking with light

2:52

instead of electricity. Traditional

2:54

routers and switches send electrical

2:56

signals over copper wire, which works

2:58

well for short distances, but breaks

3:00

down for large distributed AI data

3:02

centers. Optical networks transmit light

3:05

through glass fibers, which can carry

3:07

much more data over much longer

3:09

distances with much lower losses and

3:11

interference. So while copper is great

3:13

inside a server or inside one rack,

3:16

serious AI clusters need optics to move

3:18

data between racks, between buildings,

3:20

and even across continents using

3:22

undersea fiber. Optical links can push

3:25

400G, 800G, or even 1.6T of bandwidth

3:29

per port. G stands for gigabits per

3:31

second. Your copper internet connection

3:33

at home is probably hundreds of megabits

3:36

to 1 gigabit per second. If you Google

3:39

internet speed test, you'll see your

3:41

current internet speeds, and hopefully

3:43

they're close to what you're paying for.

3:45

1 gigabit per second is fast enough to

3:47

stream dozens of 4K videos at a time. A

3:50

400G optical connection in a data center

3:53

is 400 times faster than that. And 1.6T

3:57

means 1.6 terabits per second, or 1600G.

4:02

That's the kind of bandwidth that large

4:03

AI clusters need as GPUs start pumping

4:06

out more tokens every second. One more

4:08

important point before we get into the

4:10

stocks. Optical networking isn't a

4:12

single product. It's a full stack. Tiny

4:15

laser chips and photonic components

4:17

generate and detect the light.

4:18

Transceivers are the little plug-in

4:20

modules that sit in a switch or in a

4:22

server port to both transmit and receive

4:25

data, which is why they're called

4:27

transceivers. They turn electrical

4:29

signals from the chip into light at one

4:31

end of the fiber, and then they turn

4:32

that light back into electrical signals

4:34

at the other end. Then, full optical

4:36

systems and software stitch all those

4:39

links together into complete networks.

4:41

Lumentum, Coherent, and Ciena dominate

4:44

different layers of the stack, making

4:46

them great ways to invest in the shift

4:48

to optical now that networking is

4:50

becoming the next major bottleneck for

4:52

AI. But, while everyone's focused on AI

4:54

and chip stocks, gold has quietly

4:56

rallied by 50% in the last year alone.

4:59

The problem is owning a single miner

5:01

usually means a single team digging

5:04

metal out of a single hole in the

5:05

ground. That's where Versamet Royalties

5:07

comes in, the sponsor of this video.

5:09

Instead of running mines, Versamet

5:11

finances them and collects a slice of

5:14

every ounce produced through royalties

5:16

and metal streaming contracts. The

5:17

higher gold and silver prices get, the

5:20

more each stream is worth. Versamet

5:22

produced over 9,800 gold equivalent

5:24

ounces in 2025, nearly double the year

5:27

before, and they're guiding to over

5:29

20,000 oz in 2026. They have an

5:32

impressive track record deploying over

5:34

$400 million across 28 royalty and metal

5:37

streams so far, giving investors

5:39

exposure to gold, silver, and copper

5:42

across multiple mines on multiple

5:44

continents, all with one ticker. And

5:46

this isn't their first rodeo. Their CEO,

5:49

Dan O'Flaherty, previously built a

5:51

royalty company that got acquired for

5:53

around $750 million

5:55

and he's running First Met with much of

5:57

the same team. No wonder more than 75%

6:00

of shares are held by strategic

6:02

investors and insiders. So, if you want

6:05

to invest in a diversified portfolio of

6:07

gold and precious metals, especially in

6:09

this economy, check out First Met

6:11

Royalties. They just began trading on

6:13

the NASDAQ on March 6th under the ticker

6:16

symbol VMET. This is not financial

6:19

advice and I'm not a licensed financial

6:21

advisor. So, do your own due diligence

6:23

before making any investment decision.

6:26

Investing in mining stocks involves

6:27

significant risk, including the possible

6:30

loss of your entire investment. So, make

6:32

sure to see the full disclosure in the

6:34

description below. All right, Lumentum,

6:36

Coherent, and Ciena all sell into the

6:39

same core markets, hyperscale cloud

6:41

providers building AI clusters, big

6:43

telecom operators upgrading their

6:45

infrastructure, and large enterprises

6:47

that need high-capacity connectivity.

6:49

That ties their revenues directly to the

6:51

same capex cycle that drives Nvidia,

6:54

Broadcom, and the rest of the data

6:56

center stack. They also have similar

6:58

business models, heavy upfront

6:59

investments in research, fabs, and

7:01

specialized manufacturing that turn into

7:03

multi-year design wins and supply

7:05

agreements for lasers, modules, and

7:08

end-to-end systems. That means their

7:09

margins depend on how fast hyperscalers

7:12

and telecom carriers are expanding.

7:14

Since the more they sell, the more

7:16

revenue they make against these big

7:17

upfront fixed costs. They also have

7:20

similar risks, like customer

7:22

concentration. A handful of cloud

7:24

providers and telecom companies account

7:26

for a big chunk of this market. So, any

7:28

pauses on spending can hit all three of

7:31

these companies at once. They also sit

7:33

in the middle of complicated global

7:34

supply chains for things like wafers,

7:37

lasers, and advanced packaging. So,

7:39

supply chain disruptions, export

7:41

controls, or tariffs can impact costs

7:43

and delay delivery timelines. And they

7:45

all have serious competition from tech

7:47

giants like Broadcom, Nokia, and Huawei,

7:50

which limit their long-term pricing

7:52

power once supply catches up with

7:54

demand. But on the flip side, they also

7:56

have the same big tailwinds. AI optics

7:58

alone are projected to jump from roughly

8:01

an $18 billion market 2025 to around $90

8:04

billion by 2030. And every time

8:07

companies like Nvidia and Google solve a

8:09

computer or memory bottleneck, they put

8:11

more pressure onto the network.

8:13

Lumentum, Coherent, and Ciena are all

8:16

positioned to capture revenue by

8:17

releasing that pressure. Let's start

8:19

with Lumentum, ticker symbol LTE,

8:22

because they're currently the leader in

8:23

lasers and optical switches for data

8:25

centers. Lumentum's latest quarter

8:27

really tells the story here. The revenue

8:30

came in at $665 million,

8:32

which is up 65% year-over-year. Their

8:35

non-GAAP operating margins came in at

8:37

25.2%

8:39

up from just 8.2% a year ago. Most of

8:42

that growth came from their component

8:44

segment, which sells the laser chips and

8:46

photonic parts that go inside high-speed

8:48

transceivers and co-packaged optics

8:50

modules for hyperscalers. When you hear

8:52

the term co-packaged optics, that just

8:55

means that the optical engines, which

8:57

are the parts with the lasers that turn

8:59

electric signals into light and light

9:01

back to electric again, sit right next

9:03

to the chip instead of at the edge of

9:05

the circuit board. Today, most switches

9:07

use pluggable transceivers in the front

9:09

panel, which means every bit of data

9:12

moves as electrical signals for several

9:14

centimeters before getting converted

9:16

into light. At 800 or even 1600G speeds,

9:20

that burns a lot of power and adds a lot

9:22

of losses. But co-packaged optics put

9:25

the lasers in the same package as the

9:27

switch chip or the accelerator, which

9:29

makes the electrical distance a few

9:31

millimeters. That 10x reduction in

9:34

distance cuts power per bit by 30 to 70%

9:38

it improves signal strength and it lets

9:40

hyperscalers keep scaling to 1.6 or even

9:43

3.2 terabit per second speeds without

9:46

melting their chips or their cooling

9:48

budgets. That's why massive AI clusters

9:50

are shifting more of their networks to

9:52

optics and Lumentum's ultra-high power

9:54

lasers and optical engines are being

9:56

built specifically for these

9:58

deployments. So, if co-packaged optics

10:00

are the future of AI networks, then

10:02

Lumentum is the company selling the

10:04

light. Lumentum's revenue from

10:05

components hit $444 million last

10:09

quarter, representing about 2/3 of their

10:11

total sales. And management is now

10:13

guiding for around $805 million

10:16

in total revenues for next quarter,

10:18

which would imply 21% growth quarter

10:21

over quarter. At OFC 2026, which is the

10:24

Optical Fiber Communication Conference

10:26

held earlier this month, Lumentum's

10:28

management laid out a path to $2 billion

10:31

in quarterly revenues within the next 2

10:33

years, roughly a 3x from here. That

10:36

number is backed by real orders. The

10:38

backlog for their R300 optical circuit

10:40

switch is now over $400 million

10:43

and they're already booking massive

10:45

orders for co-packaged optics shipments

10:47

starting in 2027. And of course, Nvidia

10:50

announced a multi-year agreement with

10:52

Lumentum earlier this month, including a

10:55

$2 billion cash investment and a

10:57

multi-billion purchase agreement for

10:59

lasers and optical engines. Nvidia gets

11:02

priority access to future capacity for

11:04

optics and Lumentum gets the funding and

11:06

demand visibility to build out a new US

11:09

fab in North Carolina to support up to

11:11

$5 billion in revenue capacity once it's

11:14

fully ramped up. For investors, the

11:16

takeaway is simple. Lumentum is becoming

11:19

a core part of Nvidia's plan to scale AI

11:21

factories. Revenues and margins are

11:23

growing fast. Their backlog points to

11:26

multi-year growth and Nvidia's $2

11:28

billion investment and purchase

11:30

commitments help lower their overall

11:32

risk. If networking really is the next

11:34

bottleneck for AI, then Lumentum is one

11:37

of the few companies positioned to solve

11:39

it, especially with Nvidia in their

11:41

corner. All right, let's cover Coherent

11:43

next, ticker symbol COHR. Coherent

11:46

reported $1.7 billion in revenue last

11:49

quarter. That's up 17% year-over-year

11:52

with non-GAAP gross margins of roughly

11:54

39% and non-GAAP earnings per share of

11:57

$1.29.

11:59

That's up roughly 35% from a year ago.

12:01

That growth comes from their data center

12:03

and communication segment, which

12:05

generated about $1.2 billion in revenue

12:08

for the quarter. That's up 34%

12:10

year-over-year and now makes up over 70%

12:13

of their total revenues. While their

12:15

legacy industrial segment stayed roughly

12:17

flat, that shift from industrial to AI

12:20

matters because of how Coherent makes

12:22

their money. Unlike Lumentum, which

12:24

focuses mostly on components, Coherent

12:27

is vertically integrated across the

12:29

whole photonics stack. They design and

12:31

manufacture their own laser chips,

12:33

package them into optical engines, and

12:35

build complete 800G and 1.6T

12:38

transceivers and other systems around

12:40

them. On their latest earnings call,

12:42

Coherent's management team said that

12:43

most of 2026 is effectively booked with

12:46

orders extending into 2027. And for

12:49

every dollar of optics they delivered,

12:51

they booked over $4 of new demand.

12:53

That's a very clear signal that demand

12:56

is far ahead of supply, giving Coherent

12:58

a very healthy revenue backlog to work

13:01

through. But a big part of Coherent's

13:02

competitive edge is their 6-in indium

13:05

phosphide wafer fabs. Let me break that

13:07

down for you. Silicon is great for

13:09

compute, but it's terrible for making

13:11

light. Indium phosphide, or InP, is

13:15

great for making and detecting the laser

13:16

light used in fiber optic networks. So,

13:19

it's the go-to semiconductor for lasers

13:21

in optical transceivers, modulators that

13:24

encode that data onto light, and

13:26

photodetectors that convert it back to

13:28

electrical signals on the other end.

13:30

Moving from 3-in to 6-in wafers lets

13:32

Coherent make more than four times the

13:34

chips per wafer while cutting die costs

13:37

by over 60%. That's a massive cost,

13:40

capacity, and margin advantage in a

13:42

supply-constrained market. At OFC 2026,

13:46

that same conference, Coherent showed

13:48

off their 1.6 terabit transceivers. They

13:51

showed off advanced optical engines and

13:53

end-to-end optical systems all built on

13:56

the 6-in InP process. And just like with

13:59

Lumentum, Nvidia signed a multi-year

14:01

strategic partnership with Coherent,

14:03

including a $2 billion investment and a

14:06

multi-billion dollar purchase commitment

14:08

for advanced lasers and optical

14:10

networking products. As an investor, I

14:13

really like Coherent's full-stack

14:14

approach to optics. While Lumentum is

14:17

leaning into lasers, optical engines,

14:19

and switches, Coherent is building the

14:21

entire chain from their 6-in wafers all

14:24

the way to high-speed transceivers.

14:26

Their revenues and margins are expanding

14:28

thanks to explosive demand from AI data

14:30

centers. While Nvidia's $2 billion

14:32

investment plus their purchase

14:34

commitments lower the risk of all that

14:36

upfront spending to ramp up production

14:38

capacity over the next few years. Talk

14:41

about a great way to get rich without

14:43

getting lucky. And that leaves us with

14:45

Ciena, ticker symbol CIEN. Ciena sits

14:48

one layer above Coherent and Lumentum,

14:51

turning all of those advanced optics

14:53

into full AI networks. Ciena just had a

14:56

record quarter, over $1.4 billion in

14:59

revenue, which is up roughly 33%

15:01

year-over-year. And their adjusted

15:03

earnings per share more than doubled

15:05

from a year ago. They ended the quarter

15:07

with a $7 billion backlog, which grew by

15:10

$2 billion in just the last 3 months.

15:13

But what's really changing for Ciena is

15:15

their customer mix. Revenue from cloud

15:17

providers grew by 76% year-over-year and

15:21

now represents roughly 40% of their

15:23

total revenue. A big shift from their

15:25

traditional telecom carrier base to

15:27

hyperscalers that are buying optical

15:29

systems and data center interconnects.

15:31

Ciena specializes in high-end optical

15:34

signaling to squeeze more data into each

15:36

fiber over longer distances. For

15:39

example, their WaveLogic 6 is the

15:41

industry's first 1.6 terabyte per second

15:44

solution that runs over a single

15:46

wavelength. That lets operators double

15:48

capacity on existing fibers while

15:50

cutting power per bit, which effectively

15:52

gives more power back to the GPUs.

15:54

They're also working on AI-ready

15:56

networks for neoscalers, which are AI

15:59

and cloud companies that want simpler,

16:01

higher capacity networks that use less

16:03

space, less power, and less cooling. The

16:05

goal here is to automate more network

16:07

operations, keep latency low, and

16:09

utilization high across AI clusters that

16:12

span multiple data centers. As an

16:14

investor, I think of Ciena as the

16:16

systems in silicon that sits one layer

16:19

above Coherent and Lumentum. Those

16:21

companies sell the lasers, the engines,

16:23

and the transceivers, while Ciena

16:24

packages them into full networks. So,

16:27

they win no matter which laser company

16:29

comes out on top. And now that we have

16:31

all that context, we can answer the big

16:33

question, which optical networking

16:35

company is the best investment right

16:37

now? And if you feel I've earned it,

16:39

consider hitting the like button,

16:40

subscribing to the channel, and sharing

16:42

this video. That really helps me out,

16:44

and it lets me know to make more content

16:46

like this. Thanks. Now, let's talk about

16:48

Lumentum, Coherent, and Ciena stock. I

16:51

think Lumentum is the most focused way

16:53

to play the component side of AI optics.

16:56

They're doing $665 million in quarterly

16:59

revenue. They're growing 66% year over

17:01

year with 42% gross margins and 25%

17:05

operating margins while guiding to even

17:07

higher margins over time. On top of

17:09

that, they're building the lasers, the

17:11

optical engines, and the switches that

17:14

are already designed into next-gen AI

17:16

networks. And they have Nvidia as a

17:18

strategic partner that de-risks a lot of

17:21

that roadmap. So, if you want exposure

17:23

to AI optical demand without paying for

17:25

full systems, Lumentum is for you.

17:28

Coherent is all about vertical

17:30

integration. They own the 6-in indium

17:32

phosphide wafer fabs, design their own

17:34

laser chips, and ship complete 800G and

17:37

1.6T transceivers. Their data center

17:40

revenue is growing fast. Their data

17:42

center backlog is growing four times

17:44

faster than their shipments. And they

17:46

have a multi-billion dollar investment

17:47

and purchase agreement with Nvidia. So,

17:50

if you're the kind of investor that

17:51

looks for vertically integrated

17:52

companies that are also funded by

17:54

Nvidia, Coherent could be for you. Ciena

17:57

sits one layer higher, turning lasers

18:00

and optical engines into full networks

18:02

that stitch AI data centers together.

18:04

They just printed $1.4 billion in

18:07

revenue, which is up 33% year-over-year.

18:10

They have adjusted gross margins in the

18:12

mid-40s and a $7 billion backlog that

18:15

gives them better revenue visibility

18:16

than most hardware companies can dream

18:18

of. With cloud and hyperscaler customers

18:21

now driving a big chunk of their

18:22

business, Ciena makes sense for

18:24

investors who want a more diversified

18:26

systems-level way to play the optical

18:28

networking buildout. Personally, I'd be

18:30

happy owning all three since that would

18:32

give me broad exposure to the whole

18:34

industry from the laser chips and the

18:36

engines all the way up to the full AI

18:38

networks. But if I had to pick a single

18:40

winner based on today's growth, backlog,

18:43

positioning, and

18:44

pick Coherent because I think their 6-in

18:47

wafer process plus Nvidia's investment

18:49

give them the deepest moat and the best

18:51

ratio of risk to reward. I'm also a huge

18:54

fan of vertical integration. But let me

18:56

know which stock you're buying below. Or

18:58

if you want me to make a deep dive video

19:00

on any of these companies. And if you

19:02

want to see more science behind the

19:04

stocks, check out this video next.

19:06

Either way, thanks for watching. And

19:08

until next time, this is ticker symbol

19:10

U. My name is Alex, reminding you that

19:13

the best investment you can make

19:15

is in you.

Interactive Summary

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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