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Outlook | Unlocking Value of Sillica 30/03/2026

56:38EnglishBy Outlier InsightTranscribed Jul 17, 2026
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0:00

Okay, guys. Let me introduce myself, my name is

0:02

Farel.

0:04

I am one of the analysts at Outlier

0:07

Inside. Okay, today I will discuss

0:10

about the silica industry with the title

0:13

Unlocking Value of Silica.

0:17

Okay, first of all,

0:20

before we discuss silica

0:22

further, we have to know for ourselves

0:24

that we have to know that

0:27

silica is a mining commodity,

0:29

friends,

0:31

yes. So

0:33

we have to know that there are

0:36

several types of mining, namely

0:40

open pit, underground mining, and

0:43

dragging. Well, these three have different

0:46

characteristics, friends.

0:48

Firstly, this open pit has a

0:50

large production volume which is positive.

0:54

The second is simple technology.

0:56

Third, scalable production and

0:59

fast and easy access. So because

1:02

the structure of the open pit mining

1:05

is open, it is easier for the ee to

1:08

lift the mining materials

1:11

from the bottom to the top

1:13

because it can be accessed by the ee through

1:17

normal logistics. So there is no need for

1:19

any kind of

1:22

ordinary technology because you can

1:25

access it easily using trucks and

1:27

other things.

1:29

[clears throat] The production is also large

1:30

because the guys are efficient from

1:32

top to bottom, they can carry

1:35

mining products and

1:37

mining goods. Well, but there are

1:39

minuses and there are negatives. The negative

1:41

is that because it has to rotate from top to

1:43

bottom, the

1:45

fuel consumption is high, which is wasteful,

1:48

right? And the second

1:52

is that it requires a large area of ​​land, so it requires a

1:54

large permit, which is bureaucratic, which is

1:58

difficult, right? If, for example, it is assisted,

2:01

if it is mined, the

2:02

bureaucracy is difficult, right? So getting a

2:04

big permit is also quite difficult.

2:07

[snort]

2:07

Then the third is sensitivity to the

2:09

weather, especially rainy weather and

2:11

hot weather. Because what is below

2:13

, underground, is further

2:17

from the surface, the closer it is to the

2:19

earth's core, so it is also hotter

2:21

when it is hot. And also the

2:24

dry dust also makes the temperature

2:27

feel hotter for workers.

2:31

[clears throat]

2:31

But on the other hand, on the other hand, when it

2:34

rains, it's more dangerous

2:36

because if there's

2:40

a lot of soil in this open pit, it's

2:42

slippery, friends. If it rains, the

2:45

trucks also have to have

2:48

more fuel,

2:49

use more fuel

2:51

because it is slippery, a lot of

2:54

energy is wasted when the truck

2:58

wants to go up the slippery road, that's

3:00

a lot of energy wasted, it's not

3:02

efficient in terms of distance and energy.

3:06

Well, next there is also

3:09

underground mining. Well, underground

3:11

mining is like underground mice

3:13

that go into the ground

3:15

to make tunnels. Well, underground

3:18

mining is different from open pit.

3:20

Underground mining does not dig up the

3:22

top part of the earth. They

3:25

go into the ground to make

3:27

tunnels for exploration. Well,

3:30

there are pluses and minuses too, especially the

3:33

deeper exploration. It's clear,

3:35

friends, because he's underground

3:37

mining, so eh, they can

3:40

focus more deeply rather than sideways. For

3:44

example, if the open bit is sideways,

3:45

right? If underground mining is

3:48

deep, it is because it is looking for

3:50

something that is in another place, eh,

3:53

not just in that place. For

3:56

example, if there is an open bid, the same things are being

3:57

dug, not looking for anything, that's the

4:00

term compared to underground

4:02

mining. But the

4:05

positive thing is that underground mining

4:07

doesn't damage the surface, friends. The

4:09

trace of destruction is lower because

4:11

it enters the ground which

4:12

does not need to be destroyed, does not need to

4:13

be baled, etc.

4:17

The third is that the quality of the

4:19

mining product is usually higher

4:20

because it is mixed

4:22

with less other materials such as

4:25

ferrous, such as soil, such as boron

4:30

and others. And the last

4:32

advantage is that it is not affected

4:34

by the weather, friends. So

4:36

because it's underground,

4:37

if it rains, you won't

4:39

feel it.

4:41

Well, but there are drawbacks too, my

4:42

friends. The downside is that

4:44

the technology has to be advanced and expensive,

4:46

friends. Because the

4:49

corridors he made had to be

4:51

reinforced with

4:53

iron structures. So, if it's not

4:55

reinforced, it will collapse, right?

4:57

If it collapses, it will

5:00

increase business costs even

5:01

more and be more dangerous than an

5:04

open pit because the employees could be

5:07

disciplined.

5:09

Furthermore, the production volume is

5:12

also smaller, friends, in

5:13

underground mining because it is not

5:16

as efficient as open pit mining and lastly, the

5:19

labor is more expensive. As

5:21

we know, the riskier

5:23

a job is, the higher the

5:25

salary. Well, the last one is

5:28

dragging.

5:30

This is the dragging that is in the rivers,

5:32

friends. River banks to

5:35

take silica sand and

5:37

others. Well, there are pluses and minuses too, my

5:39

friends. The plus is that the

5:41

transportation costs are low because ee

5:45

he is on top, he is on the

5:48

outermost mainland.

5:51

The second is that the operation is very

5:53

efficient because there is no need to

5:54

mine very deep.

5:56

the material is also quickly moved from

5:58

place to place.

6:01

And the last one is not much,

6:02

there is no need for a lot of hauling trucks because

6:04

most of the dragging is done using something

6:06

like boats or

6:07

small trucks. Not like a

6:09

mining truck that is open bit. Well, there are

6:12

downsides too, my friends. The downside

6:14

is that not all locations can be used for

6:17

dragging. So, depending on

6:19

location, it is limited. And secondly,

6:22

the quality of the mine is usually

6:24

worse than open pit and

6:25

underground. And finally the

6:27

mining results are mixed with

6:30

other components.

6:32

Well, besides finding out

6:36

the types of mines, we also have to

6:37

know the types of silica deposits.

6:40

Well, the first one is quarzitide.

6:42

Quartzide is a type of silica that is

6:45

formed from rocks, friends.

6:47

Quartz rock. Well, this is the natural

6:50

deposit priority. Purity is

6:53

purity, yes. The purity of

6:56

this natural Quartz deposit is 90 to 98%.

7:01

Sometimes people know that silica is

7:03

just sand, my friends. In

7:04

fact, silica originally came from

7:07

rock. Well, what has become sand is

7:10

actually rocks that have been

7:13

eroded because the water has eroded them and moved

7:17

to another place to become sand and mixed

7:19

with the soil and

7:23

other elements. Well, next there is

7:25

fine quartz. This quartz findine is also similar

7:27

to quartzide, which is a rock,

7:29

friends. Well, the natural deposit

7:32

purity is higher than

7:33

quartzide, namely 95 to 99%.

7:38

higher. And the last one is

7:41

silica sand, friends. Well, so

7:43

here is the form of sand. The

7:47

natural deposit content is lower,

7:48

of course, because it is mixed with

7:51

other components, namely 85 to 95%

7:54

silica sand. Well,

7:58

these three types of deposits each

8:01

have their own characteristics,

8:03

friends. Well, if it's quartz, the

8:05

deposit reserves are large. The processing

8:07

yield is higher in Heilir

8:09

Puritus because it is higher, but

8:12

the margin is moderate because the costs are

8:15

also higher, right? Meanwhile, the

8:17

COG of fine quartz is

8:21

cheaper because

8:26

this fine quartz comes from a natural deposit and

8:28

its priority is already high, so the cost

8:30

at the factory is lower. There is no

8:32

need to purify it much because it is

8:34

already pure from the start. The

8:36

processing yield is also higher

8:38

because it has been delayed from

8:40

the beginning so it doesn't need to be cut much

8:42

by processing, eh, the yield.

8:46

Then the fourth, the third is that

8:47

the capex is cheaper than

8:49

quarzide and finally the margin is

8:51

higher than quarzit. But let

8:55

's also discuss

8:57

silica sand. Carry on. Well, this silica sand is

9:01

actually a

9:03

component, eh, the positive thing is that the KPX is

9:05

cheaper per ton. The

9:08

production volume is also large and the

9:11

exploration costs are very, very cheap,

9:12

friends. So, there's no need to bomb it,

9:15

no need to destroy it, no

9:17

need to cut it into pieces or anything like that. Just

9:21

scoop it up, just scoop it up like

9:23

that. Well, but we know that

9:26

everything that is positive has its negatives

9:28

too, right? Well, the negative here is that the

9:30

CEOG quarzide is high because it requires a

9:32

lot of processing in its heilir.

9:35

For example, here there is drilling, blasting,

9:38

crushing which causes

9:40

higher energy consumption, friends.

9:42

That's the downside.

9:44

And secondly, KPEX is more expensive and

9:47

intensive because it requires a large factory and

9:49

fixed assets. Well, if

9:52

the volume of this fine quartz is small, the

9:55

minus is that he gets less.

9:59

and its supply reserves are also more

10:00

limited than the quad.

10:03

Another downside is that exploration is more

10:05

expensive, even though the COG is cheaper,

10:10

but exploration is more expensive

10:12

because it is more difficult to find quartz,

10:14

friends.

10:16

And finally, the operational rotation speed is

10:18

lower than

10:20

quartz. So because there are fewer of them, they are

10:21

rarer, so

10:23

their operational cycle is also lower. So,

10:26

what are the disadvantages of silica sand? The downside is that

10:28

the deposit is low purity, so

10:31

it is more expensive to get it to smelter grade

10:34

because it needs to be purified again, which is

10:39

more steps

10:41

than if it was pure from the start.

10:43

Well,

10:45

[snort][clears throat]

10:46

to get into heilir products is

10:48

too far and too expensive. Because

10:50

I said earlier that the purity needed to

10:52

enter the smelter is already difficult,

10:55

let alone entering the

10:58

downstream product. Well, that costs more to

11:02

refine again. Well, another downside

11:05

is that the margin is thin and it is not suitable

11:07

for selling to the B2B industry because

11:10

B2B also needs margins, right? I ee ee

11:15

my friends also, if you have a business,

11:18

you definitely want a high margin, it's

11:20

impossible to want a

11:21

low margin like that, friends. So

11:24

we have the logic that ee for B2B

11:27

must have a margin that can provide margin

11:30

to our clients, which is

11:32

also a business.

11:36

[clears throat]

11:38

Next is why

11:42

this silica ee is associated with

11:44

semiconductors.

11:46

Well, as we should know,

11:49

there are properties of

11:51

ee that can conduct and not

11:53

conduct electricity. The first

11:55

is that the conductor conducts

11:57

electricity, my friends. And while the

11:59

insulator is the opposite, namely

12:01

holding electricity. So, here I

12:04

divide which ones are conductors and

12:06

which ones are insulators.

12:08

One of the insulators is rubber,

12:10

friends, rubber

12:12

and also wood, friends. The wood is

12:15

one of the installers. Meanwhile, the

12:18

most conductive conductor

12:19

is copper, friends. Suitcases,

12:22

and gold. So, where is the position of

12:25

silica as a semiconductor?

12:27

It's in the middle, folks. I

12:29

call it control

12:31

conductivity. So, the conductivity is

12:34

controlled, not too much

12:38

to conduct, but not too much to

12:42

repel either. So, he has the advantage

12:44

of control.

12:47

Well, this is the flow of downstreaming,

12:50

friends. The first thing we know for

12:51

ourselves is that in the quartz mine it goes into

12:54

the feeder. Well, this feeder is a tool

12:58

for

13:00

moving mining materials

13:03

. So, ee goes from the feeder

13:07

to the crusher, friends. The crusher is

13:08

ground but not yet smooth,

13:11

friends. The mash is still

13:12

rough. That's why it has to be put back into the

13:16

tool called balk. The balm is ground

13:18

again as a powder. So, after it becomes

13:22

powder, clean it with water.

13:25

Our initial product, namely

13:29

crystalline, emerged.

13:31

After it becomes crystalline, we need

13:32

oil for emm

13:36

or gasoline to send

13:40

our product to the smelter, friends. This is the

13:42

first number of hilisasi. The smelter is

13:44

going uh midstream from upstream to

13:48

midstream. So, this crystal goes into the

13:51

smelter and is put into what is called an

13:54

electric arc furnace. These crystals

13:58

will be burned until they melt.

14:01

Then after melting it goes into the

14:03

LED storage,

14:06

eh, the result of the electric arc is called that.

14:09

the technique is tapping. Well, next

14:11

is molding. Molding is

14:13

forming the results of this ledel, which is

14:17

formed in molding so that it will

14:20

produce the second product of the hilalization,

14:23

namely the metallurgical silicon block.

14:26

So, is this enough to

14:29

enter the solar panel and ee

14:32

chip industry? Not yet, friends. So we have to

14:34

have something called high grade refinery.

14:37

We send here also need

14:38

oil.

14:40

Well, here there are chemical processes

14:43

to break down impurities or

14:47

impurities.

14:49

Well, these impurities contain a

14:51

lot of them. There's iron, there's a suitcase, there's

14:54

gold maybe, there's land. So,

14:57

when used in the high-grade EE refinery, it

15:02

will be separated by chemicals

15:05

which will later become the output gas.

15:08

This gas is in the gas column.

15:12

[clears throat] Well, this gas is for ee

15:15

processes to separate

15:17

impurities. Well, later the remaining residue

15:21

after it has become very pure becomes

15:24

what is called polysilicon, remember. It is

15:26

like a lump of silicon resulting from

15:30

refined silicon metallurgy

15:33

. Well, is that enough

15:35

? That's not enough, folks.

15:37

It will go into a machine called the

15:39

Chozarski Furnance, where it will be cleaned

15:42

again, melted again, and made into

15:45

crystals, friends. Well, that

15:47

requires a huge amount of electricity.

15:49

After that, what will it do for

15:51

wafer manufacturing

15:53

? For cutting, trimming, and also

15:56

diapping, friends. Lapping and

15:58

polishing. What is the purpose? Cut it to

16:00

make small shapes like

16:02

this. Round plates,

16:05

circular plates, and also

16:08

lapping and polishing. The aim is

16:10

to make sure that the wavers are not

16:14

contaminated with dust

16:17

and soil. So it has to be really

16:19

clean, guys. This also uses

16:21

electricity. So from upstream to

16:23

downstream we already have the assumption

16:26

that the first COG is electricity

16:29

and also gasoline. Next is this

16:32

is uh the flow of COGS in the

16:38

[cough][clears throat]

16:39

process and COGS in the refinery.

16:42

First we have to remove the chloride

16:43

, metal chloride. Well, throw it away

16:46

using these gases, friends.

16:47

Chloride gas and also hydrogen chloride.

16:51

eh silicon

16:55

eh warm polysilicon is formed with impurities of

16:59

6N. 6N means 6 times 6, eh 9

17:03

times 6, sorry, that's 6n. For example, if 9 is

17:07

7N, then 9 is 7 times that, which means 7N, right? Well,

17:10

6M is suitable for entering the

17:13

solar waver industry. Later, after

17:17

entering the solar rover industry, it will be

17:18

processed again through texturing, diffusing,

17:21

and doping. Doping is gridded,

17:23

folks. So, this will

17:26

be shaped so that the lights

17:28

can be made into light that

17:30

produces electricity. So, after that,

17:34

make this ee solar waver into a

17:38

solar cell, okay? Well, this solar cell is a

17:41

waver that can

17:44

produce

17:46

electricity from sunlight because it is

17:48

reflected from all kinds of things.

17:50

So I don't really understand the process,

17:53

but that's roughly the picture,

17:56

friends. So, after the solar

18:00

panels, we will move to the chips. Well,

18:04

this chip is higher, folks.

18:06

the purities must be higher, much

18:08

higher. That's why we need a

18:10

lot of additional CO2, namely chlorine

18:12

gas again, hydrogen chlorine again,

18:15

trichlorosine, what is this ee again and also

18:18

hydrofluoric acid again. Well, to

18:21

create these 11N wavers, the

18:24

purity of the friends must also be high.

18:26

So this purity is lower, this purity is

18:28

higher. For CO gas, the

18:31

grade is also higher. We have to

18:33

remove carbon, remove phosphorus, remove

18:35

boron, then make

18:38

pure silicon 11n. 9 is 11 times 9 9 9 9 9

18:42

to 11. Well, after that, after

18:46

the purity is 11n, the polysilicon

18:50

will be cut into silicon waver

18:52

purities. Bear silicon waver purities.

18:55

Well, because

18:58

11 in is expensive, that's why it needs more

19:01

repetitive processes,

19:03

Friends, use COG here. Well,

19:07

after we get silicon wavers

19:10

to enter the chip industry, we

19:12

must have a machine called

19:14

photolithography. Well, in this lithography photo

19:17

, these wavers will be fired by a

19:19

laser. This laser is used to make the

19:21

transistors in the

19:23

waveforms. Electrical lines were made

19:25

. Well, in

19:27

these electrical lines, if you have ever seen them

19:29

on a cellphone, there are like lines.

19:31

These lines are for conducting

19:33

electricity actually and can also be for

19:36

controlling electricity as well. That's why we

19:39

use lasers because the smaller they are,

19:41

the more efficient they are. If you use

19:43

physical, it won't work,

19:45

friends. Because the

19:46

things that make the chip are too big.

19:49

Meanwhile, if you use a laser, you can

19:51

make

19:53

as many chips as possible on one wafer as possible.

19:55

Produces waver chips.

19:58

The name of the process in photolithography

20:00

is fotolavik

20:02

like that. Well, this column is

20:06

actually for distalization, my

20:07

friends. So, this wasting is

20:09

called distalization. I call it

20:12

this step-by-step process until the

20:15

purest distalation is depth of

20:18

separation distallation.

20:21

Okay, let's continue.

20:23

Well, here is the estimate from

20:26

my calculations, friends. So

20:28

if this 1 ton is going to be

20:33

silicon wafer and be uh solar wafer I

20:36

found that there will be something called

20:38

processing yield loss from

20:42

uh its purity. So, if we want to

20:45

purify, we have to

20:47

throw away a lot of things, friends. In

20:49

this rock, there are many other chemicals,

20:52

many other compounds that must be

20:53

removed, such as boron,

20:55

aluminum, nickel, for example, or

20:58

others. Well, what we

21:00

need to make wave silicon and

21:02

solar silicon is

21:06

real silica, which if possible has a

21:09

higher priority,

21:13

pure silica. We don't want

21:16

silica mixed with iron and everything.

21:18

That's why here, ee, we

21:20

estimate that each

21:24

healing process is also different,

21:25

Friends. For example, like here,

21:27

from high-grade quartz stone

21:30

to silicon wafer, the reduction is

21:34

80%, friends. 7 78 to 80%. Come

21:37

here to the silicon policy, remember that ee

21:41

is midstream, it's down 65%

21:45

to 70%, friends. So 1 ton.

21:46

So the remaining T 3.0

21:50

tons is the same as up to 30 3.5 tons. Meanwhile, the

21:54

silicon waver is 0.2 tons to

21:58

2.2 tons. Well,

22:01

we have to pay attention to this processing yield, friends.

22:03

Because we count it from tons. If

22:06

we count 1 ton of quartz stone,

22:08

don't count 1 ton of bear silicon

22:11

wover because that's too biased,

22:12

friends. Well, these are the

22:15

prices that I took from the

22:18

siuan index reference for metallurgical silicon

22:21

block and have been adjusted. So, all of

22:24

this has been adjusted with the

22:26

processing yield. Well, what

22:29

you need to know is that not all

22:31

quartz stones can be used as silicon

22:34

wavers.

22:36

Well, this low grade is only for

22:38

buildings, right? Most likely just go into

22:40

another crystal. can't get to the

22:42

metallurgical silicon block. Well,

22:45

meanwhile, the mat grade or medium

22:48

grade can be inserted into the silicon

22:50

block. But to get into the

22:53

silicon waver and bear solar waffer is

22:56

too far and too expensive to

22:58

make the natural deposit

23:01

more pure. Meanwhile, the high grade is

23:03

because it is pure from the start.

23:05

So to enter the solar wafer

23:07

and silicon waver, it's just a matter of

23:09

continuing the purity. there was no

23:10

need for him to separate them like that from the very beginning

23:13

.

23:15

Well, this next is gross value

23:18

creation by revenue yield adjusted. Well,

23:20

so because I have just adjusted from 1

23:24

ton of stone it will make eh only

23:29

0.4 tons of silicon remember, Friends. Eh,

23:32

silicon block sorry. Yes, the silicon block

23:36

loses 40% 60% of its total mass.

23:41

Next, remember that silicon has

23:43

decreased by 70%, friends. 65 to 70%.

23:47

So, we see here that this

23:50

is

23:52

value creation from the price of goods

23:55

that has been adjusted to the

23:59

processing yield.

24:00

So, if 1 ton of quartz is

24:03

made into chips, the price

24:06

can increase from 40 times to 1000 times

24:08

. I use that range so that the

24:11

standard deviation I'm talking about is

24:14

more meaningful because the prices of

24:18

goods in this industry are quite high,

24:21

my friends. So, the indexes are

24:22

not all the same. There are countries

24:25

where the prices or

24:28

quality are different and so on. So

24:31

we use range, guys.

24:34

So, from the deposit, we can see from the

24:37

silicon block, remember, from solar to chips, the

24:39

value creation is very large,

24:41

friends, in terms of selling price. But

24:44

is that selling price enough? Well, we

24:46

have to know about the materials industry first.

24:50

So, this purity is just purity is the

24:55

key, the key is purity. If

24:58

the purity is low, it is

24:59

only used as an industrial material, namely for

25:03

construction purposes such as ordinary building sand

25:06

. But if the purity increases

25:08

slightly, it will enter the glass industry,

25:10

which also has a larger margin. And

25:12

the last, eh, the second last,

25:17

eh, is from the solar panel industry and the

25:19

chip industry which have even higher

25:21

purity.

25:23

Next, this is

25:25

my own calculation and

25:29

refers to the research that I

25:30

found, namely that the COG of this quartz stone is

25:32

30 to 70 tons. China and

25:37

ASEAN must adjust to the COGS

25:40

that reaches downstream. Because if we

25:43

just talk about price, that's also pointless.

25:46

We want profit not only from

25:48

price, not only from revenue. So, uh,

25:51

high turnover, if the COG is set high, it's also

25:53

useless. Well, I will uh adjust the

25:57

yield from COGS

26:00

quartz stone to COGS wafer uh solar

26:03

and also silicon and polysilicon remember

26:06

and also silicon block metallurgy. So,

26:10

uh,

26:11

I want to find the GPM or gross

26:14

profit margin.

26:16

Well, after that, we also need to know

26:18

how heavy the investment is for KEX,

26:22

how much it takes to make

26:23

these products. It turns out that from

26:27

crystalline KX to metallurgical silicon

26:29

block it is still low. But when you

26:33

enter the warm polysilicon kapex, it

26:36

becomes even higher, friends.

26:38

Well, this is the highest, friends.

26:39

Because to enter the raw

26:41

silicon wafer and also raw silicon, eh

26:45

waver,

26:47

eh solar wafer and silicon waver, it

26:50

requires lower kapex than

26:52

silicon policy because to enter

26:54

here it is only for cutting and

26:57

polishing, right? So you don't need

26:59

much. What is needed here is a lot

27:01

because it requires distillation from

27:03

refineries and others. And I

27:06

found the GPM from the range in several

27:08

countries from the world to China and

27:11

also Europe that the GPM is

27:13

metallurgical silicon block 0 to

27:15

62%.

27:17

When we talk about GPM, it's impossible for it to be

27:18

negative. And after that

27:21

this silicon policy is 0 to 51%. R la solal

27:25

wafer ini 0 ke 52% dan juga R

27:28

silicon wover. 0 to 80%.

27:31

Well, this is just GPM, friends, right?

27:35

We will adjust the GPM

27:37

to the price set from the

27:39

revenue. So, GPM is from revenue, not

27:41

from last year's GPM COGS,

27:44

friends. Uh, COGS of previous item.

27:47

Well, this is the value

27:50

creation triangle according to the EBITDA or

27:53

earnings before interest depreciation and

27:55

amortization yield adjusted estimation.

27:58

So this has been adjusted by the yield, eh

28:02

processing yield, sorry. And it

28:04

has also been adjusted with the gross profit

28:06

margin, eh, against the

28:10

prices of the goods. Here are

28:13

the prices, we can see them here, the

28:17

prices are this much. Let's say the profit margin is

28:19

10,000, the profit margin is 80%, which

28:23

means the 8,000 margin is the net, eh,

28:26

gross profit margin. But that's from 1

28:29

ton, folks. Because

28:31

this year we don't all have it, we are affected

28:34

by processing yield. So,

28:36

this year, if we enter the

28:37

chip industry, how much will the chip industry

28:40

decline?

28:42

70 to 80%. 78 to 80%. This means that

28:46

if for example the price of this deposit is

28:49

10, the margin is 20%, which means

28:55

10 dollars, 20%, which means 2. Well, when the

28:59

price in the waver

29:01

chip industry is 1,000 dollars, the

29:04

margin is 80% of 1,000,

29:06

friends, so the margin is 200, right?

29:08

Sorry, the margin is 1,000 dollars, 800 margin.

29:13

So, we calculate from the margin

29:16

in the mine, which was previously 10 dollars, a

29:20

20% margin is 20 dollars, sorry, so it becomes 800, that is, the

29:25

value creation has increased.

29:27

Well, this value creation is caused by the

29:30

technology to process it,

29:32

friends.

29:36

Okay, let's continue. Eh, here I am

29:40

explaining about the

29:43

logistics distribution for the COGS of the

29:47

silica industry, ee, which I explained earlier,

29:49

there are several chemicals, gases and

29:53

others, I assume that

29:56

they all buy them, friends.

29:57

Because not all countries have all the

30:00

goods they need. so I

30:02

came to the conclusion to

30:04

take the country with the biggest exporter

30:07

only. Well, for example like

30:10

this. I got the hydrogen chloride

30:13

from Germany because COGES is the

30:15

largest exporter in the

30:17

hydrogen chloride industry.

30:22

Then chlorine gas. I got this chlorine gas

30:25

from Canada because it is the

30:26

biggest exporter. And this one is

30:29

hydrogen chloride and also hydrofluoric acid

30:33

from China, friends. Well, so

30:35

I made this to see the sensitivity

30:39

to oil prices and also war,

30:40

friends. As is currently

30:42

happening in Iran and also America. Well,

30:47

from Germany, you can go directly to Asia

30:51

via Sues or overland via

30:54

Hormus, right, friends? This is very

30:57

sensitive to the price of

30:59

oil, my friends. Because here in

31:01

Sues there is a conflict from Israel, there is a

31:04

conflict from Yemen too, Haut. And

31:07

here too, there is danger, friends, there are

31:09

pirates from Somalia or

31:11

sea pirates, yes, friends. so it

31:13

will require a bigger cost

31:15

in terms of oil.

31:17

If, for example, this is circulating from Germany,

31:20

this is even bigger, Friends, in terms of

31:21

oil costs. So it's a dilemma.

31:23

So I wrote here sensitive

31:26

to war, Friends. Well,

31:29

Canada is not directly sensitive

31:31

, but it is sensitive to

31:34

oil prices. Well, because this is far,

31:36

friends. from Canada to China is

31:37

how many thousand kilos or Indonesia is even

31:40

further. So I wrote here

31:42

not to be sensitive about war, but

31:44

indirectly, right, friends? Well,

31:47

next in China. Well, this China is

31:49

interesting, friends. So the two

31:51

components for this refinery are

31:55

[snort] in China, folks. Well,

31:58

if we were producing in

32:00

Indonesia, we wouldn't be sensitive to

32:03

war because it's close and not

32:05

blocked by Hormus and Sues. And

32:09

if, for example, it were made in China, the

32:11

downstream would be even more profitable because

32:13

China already has its own raw materials.

32:17

Well, next I've given

32:20

my variable importer the boxes

32:23

for COGS and all that. I

32:25

divide the three important variables, namely

32:28

logistics.

32:30

How are the logistics? Yes, the

32:34

medium is sensitive to the

32:36

Middle Eastern War for its shipping.

32:38

I've already made the assumption. And the

32:43

second thing is the same as before, if this is a war

32:45

on oil prices. If there is a war in

32:48

winter, it will definitely be correlated with

32:50

oil prices. But I wrote this in e-oil

32:53

price itself because Canada is

32:55

not sensitive to war, but

32:57

indirectly it is sensitive to

32:59

oil prices for shipping.

33:02

Then the third one is, oh,

33:05

I wrote this wrong, it should be

33:08

here. I'll delete this later. Okay,

33:10

next is FX volatility. Yes, of course,

33:12

friends, in

33:14

exports and imports, there is definitely a

33:17

currency risk. So,

33:20

next from logistics we

33:23

move on to production, friends.

33:25

Production from upstream to downstream,

33:27

friends. The first is regulation

33:29

and bureaucracy. Well, we have to

33:32

monitor our friends, what are the current regulations

33:34

in Indonesia? Well, or

33:36

what about in China?

33:38

This is related to demand too but

33:40

later. Well, the next thing is that

33:43

production requires electricity and cabbage, it

33:46

requires coal, it requires electricity, right,

33:49

to produce it, which I

33:50

have already made, so there are two COGS,

33:53

electricity and also the most

33:54

important oil. Okay, next is

33:57

material price.

34:01

What happened earlier, what gas was there, we also

34:03

have to pay attention to all of that, friends. in terms of

34:05

price, supply, and also the contract.

34:09

If, for example, the company has a

34:10

contract, friends. And the

34:11

last one is demand, yes. So, I

34:14

entered this demand as an important

34:15

variable to see whether

34:18

anyone in this industry would want it or not.

34:21

Well, this is where the economic multiplier comes from.

34:24

Well, the purpose of government demand is

34:27

to multiply the economy,

34:29

right? So, will

34:32

using these derivative products from

34:34

silica multiply their economy?

34:37

So I put it into the important

34:39

variables to see whether the government

34:41

wants to enter the

34:44

silica industry or not to expand

34:46

their economy. Well, that's a

34:48

potential demand. Well, next

34:51

is green energy efficiency. I

34:54

put it in here because ee is like China.

34:57

China, ee, because of the

35:00

large-scale electricity production from

35:02

coal, it also causes high pollution, right?

35:05

So the silica industry offers

35:09

efficiency from green energy, for

35:12

example. And the third is tech

35:15

innovation such as microchips and

35:18

others. I don't want to

35:20

discuss this anymore because it's too long for the

35:22

innovation tag. Next we will

35:26

discuss the 100 year marathon. So

35:30

we know for ourselves that the current macro event

35:32

is that China wants to fight the US,

35:34

friends, as the

35:36

second superpower or even wants to be the

35:39

first. The main competitors are

35:42

microchips and also solar panels from the

35:46

silica industry. Well, what's interesting

35:49

is that the microchip and solar panel are

35:52

n't just made from valves.

35:54

So, there are items that are

35:58

complementary, yes. Eh, sorry, what is complementary or

36:00

substitution? Just a moment, my

36:03

friends. So, to make

36:05

this solar panel, you also need glass, right,

36:07

friends? So, to make

36:09

solar panels, even though we can't

36:11

sell the solar panels because we ca

36:13

n't process them, at least we can make

36:15

the glass. same goes for HP too. At

36:19

least if we can't

36:20

make the microchip, at least we can

36:24

make the glass. Okay, next is

36:28

here I have explained about what

36:30

I have made about the

36:33

distribution of

36:35

activity from solar or from the sun.

36:38

The first is the annual average of

36:40

temperature and sunlight irradiance,

36:43

right here, sunlight irradiance and also

36:46

annual sunlight exposure, friends.

36:49

So there are three different things that we

36:51

have to understand to understand solar

36:55

activity.

36:56

Here I have made a graph

36:58

from someone's research. So, this

37:03

is an output effectiveness graph. So,

37:06

the effectiveness of this solar panel

37:10

will vary depending on the temperature. Well, so

37:14

this is the solar panel.

37:21

Well, so this solar panel is actually

37:24

[clears throat]

37:25

effective in generating electricity if,

37:30

uh,

37:33

if the sunlight is high,

37:36

friends. Not from

37:39

the temperature. Well, you can see that

37:42

if the temperature is 70

37:44

Celsius, you can only get

37:46

this much voltage.

37:49

So, he can't capture power

37:52

from the sun's brightness or

37:54

irradiance to this extent. For

37:56

example, if the temperature is only 25 Celsius.

38:00

Here, you can also see that there is a marginal

38:02

effect, friends. The expectations are

38:04

up to here, right? But

38:06

because of the temperature,

38:09

the temperature is getting higher at a

38:11

certain level, at certain levels,

38:16

our expectations will be increasingly

38:19

ineffective. The initial effect is that

38:22

the expectations are this high because

38:24

the temperature is getting higher, 35 degrees

38:29

is no longer effective, but if

38:30

the temperature only reaches 30 degrees, it's

38:32

still the same, it's normal. Well, we're

38:35

back here. Come back here. Well, let's

38:39

see here, the green ones

38:42

that I have marked are the

38:45

most effective areas for

38:48

making solar panels. The first is the

38:50

annual average temperature. Well, the

38:53

temperature here is low, friends.

38:55

Here the temperature is not too

38:57

high on average throughout the year in

38:59

this green-green area. This one is

39:03

red Indonesia, right? This Brazil is red

39:05

because it is on the equator, right? Well, but

39:08

is it only temperature that we can

39:10

measure?

39:13

There is another one, namely sunlight irradiance or the

39:16

power of sunlight. It's clear,

39:19

friends. Bright not hot. Well,

39:22

we see this here most clearly. I

39:25

radians is this yellow area

39:27

, friends. The highest,

39:28

yellow to white here. Sahara region,

39:32

China region, India region, America and

39:35

others.

39:37

Well, the average irradiance is almost the same for

39:40

all of them, friends. But

39:41

the temperature is different, my friends. Well,

39:43

so high irradiance, low temperature

39:45

is good.

39:47

Low irradiance, low temperature,

39:50

bad. Then the irradiance is high,

39:53

the temperature is very high. yeah, it's ugly

39:55

too. So we see here this is

39:58

red, this is yellow, it means it's normal, it's

40:00

bad. For example, if it's green here,

40:03

the temperature is low but the

40:06

irradiance is high, friends. Well, it's

40:08

very effective

40:10

from a geological perspective, from a scientific perspective,

40:14

not from a cost perspective. So the

40:16

last one is annual sunlight

40:17

exposure. So how many

40:20

hours of sunlight exposure do you have in 1 year? Well, let's

40:23

see here in China, in Arabia, in

40:26

America it's yellow, friends. It has

40:29

long sunlight exposure, my

40:32

friends. Yes, right? Well, the sunlight

40:35

exposure is long, so the

40:38

countries on this green line have the

40:41

best clean energy from

40:44

solar panels. So my thesis

40:47

is that there will be a lot of demand from

40:49

these countries, especially during times of

40:51

war, right? War causes

40:53

logistics to stall. So,

40:55

rocks can't pass, oil

40:57

can't pass. So the electricity

40:59

must come from another source. And

41:02

one of them is solar panels, which are

41:03

green, efficient, and

41:06

only require the sun, friends, in

41:08

terms of cost to produce them

41:12

like that. Okay, next [clears throat]

41:15

I've made a table for uh cost

41:18

and benefit range estimation, okay. We

41:21

know that there is no range,

41:23

no fixed estimate, or

41:26

fixed price in this world because every

41:28

region is different, friends.

41:30

Well, that's why I gave this range

41:32

for global, friends. So that the

41:34

standard deviation is further.

41:38

The first one [clears throat] there are solar, wind,

41:41

gas, coal, and nuclear as a

41:44

comparison of energy, ee

41:48

what kind of energy generators are there. Well,

41:51

next is the

41:54

matrix, friends. That is

41:55

CO2/KWH or kW/h. Then there is capex live

42:01

lifetime capex per uh kilow hour in USD

42:05

and COGS of course and the risks,

42:07

guys. As well as compatible terrain

42:10

for installing the power plant

42:12

. Not all terrain mods

42:13

can be equipped with the same power generator

42:15

. yes. Here, the greener the more

42:19

effective. The redder the ee, the less

42:21

effective it is. If the green is low, this

42:23

means it is effective, but not that effective

42:26

. Well, firstly, let's look at solar energy,

42:29

ee, the green side is not as

42:34

effective as nuclear energy, but ee,

42:37

the risk and CO2 are very effective,

42:40

friends, for generating electricity,

42:42

right? And if we look at gas, the

42:45

CO2/KWH

42:47

is not effective, friends.

42:48

He's red. Moreover, coal is even redder per

42:52

kilowatt hour. It's even higher in

42:54

carbon, right?

42:57

But higher col than gas.

42:59

That's why I saw, I gave it

43:01

this color. Well, but this gas kapex is

43:04

very cheap, Friends.

43:06

Very effective. He uses gas pipes and then

43:09

turns them into turbines, as far as I know, the

43:11

gas then

43:13

turns the turbine. But as far as I know,

43:16

but I don't know, ee, as far as I know.

43:19

Well, next, the kapex of this coal is

43:22

cheaper, ee more expensive than

43:26

all of them, friends. But the

43:27

most expensive thing is nuclear, the most

43:30

inefficient. So nuclear is actually

43:32

the most efficient in terms of CO2/kW

43:35

hour.

43:36

[snorts]

43:37

But [clears throat]

43:39

everything's red, guys. Kapex,

43:41

COGS, Risk and so on.

43:45

But I forgot to provide another matrix,

43:48

namely the land requirements,

43:50

friends. So you have to pay for the land

43:52

too, right? So, actually, if we

43:54

talk about ee solar solar

43:58

panels,

44:01

what is it?

44:08

So I forgot to give the

44:10

land variable,

44:13

friends. Because when we talk

44:15

about planets, we need a large area of ​​land

44:16

to build them. So,

44:19

later on another day,

44:23

I will discuss the issuers of solar

44:25

power solar panels. Okay,

44:28

besides that [clears throat]

44:30

we can see from the market share of

44:33

Global Solar Installation

44:36

2023. Well, it turns out we found that

44:41

uh I found that the

44:43

largest solar panel installation is

44:45

in China, friends. The majority in 2023

44:48

is 51%.

44:50

Well, so I see this, in

44:53

China there is mass production of solar

44:56

panels, friends.

44:58

What used to be expensive to install

45:01

solar panels, is now cheaper because of

45:02

mass production. Well, that's why I

45:06

want to get this Chinese market,

45:08

one of the reasons is

45:09

[cough][clears throat]

45:11

in terms of irradiance,

45:14

irradiance, temperature, and also sunlight

45:17

exposure are very effective for friends

45:19

in China and also in the US, right

45:22

[cough][clears throat] US is 8%, well, Europe is also

45:26

big. Well, that's why [snorts]

45:28

I see there's demand. If,

45:30

for example, the US and China want to go to

45:32

war, they have more

45:34

energy resilience because they don't need to import

45:36

from abroad. Ee as COGS,

45:39

for example, coal needs to be imported, gas

45:42

also needs to be imported. Europe is why when

45:44

the gas was shut off from the ee pipes in

45:47

Russia, they were overwhelmed with energy. But

45:50

if they have solar panels, then

45:52

they don't need any gas, right?

45:54

Well, that's it, folks.

45:59

Well,

46:00

sorry. Well, so we see here from

46:03

Medan too, friends.

46:06

Medan also has an influence, friends.

46:08

Because not all types of

46:10

power plants can be planted with

46:14

everything.

46:16

Okay, guys. One of them is

46:19

win. Well, I have this question. Surely

46:22

you will ask, there will be those who

46:24

ask, "Why doesn't China

46:27

just use turbines, friends? Use win ee

46:30

turbines like in the Netherlands, right? Well,

46:32

here we see

46:34

there must be a wide, open plain,

46:38

right? Meanwhile, China, we see here, the

46:42

topography is high, friends.

46:44

There are white ones even in Tibet,

46:46

right? Tibet is high, right?

46:49

[cough]

46:50

[clears throat]

46:51

This is suitable for solar because

46:53

ee the area is open. If for example

46:56

in the mountains, there are

46:58

not many mountains in China, there are

47:00

not many trees, friends in the

47:02

Himalayas near Uigur,

47:05

Uigur places don't need

47:07

many trees and in fact these mountains are

47:10

more efficient precisely because no one

47:13

lives there so it's cheap to build

47:15

solar panels, yes, to cook to

47:18

install there, so the

47:20

cost is cheaper. And if we look at the world,

47:23

it's flat, right. If for example there

47:25

are no mountains, it's flat. Well, when there are mountains,

47:29

ee the same amount of land compared to

47:33

flat ones is bigger. Because mountains

47:35

fold like this, right? So he can

47:37

install more.

47:40

[cough][clears throat] He has

47:41

additional space than the flat ones.

47:44

Meanwhile, this wind turbine or ee turbine

47:48

like in the Netherlands requires a flat one. It

47:50

can't be installed in

47:52

high places, friends. In

47:54

the mountains, they can't be

47:55

installed because it's too risky if

47:58

there's a landslide or

47:59

something, it's expensive to build it

48:02

again.

48:05

Okay, next is the speculative

48:08

story in Indonesia. Well, I see

48:10

there are issuers that produce

48:13

silica. One of them is MITI, KKGI,

48:15

cuan and kelas.

48:18

[snorts]

48:19

MITI and kelas are not yet operational,

48:21

friends. So I see MITI is

48:24

still speculative. Kas is also still

48:26

speculative, but he has already received a permit,

48:28

friends. MITI's consensus permit

48:31

is a very large permit,

48:33

friends. 9,000 hectares, 9,800 hectares.

48:37

While this kelas is only 400 hectares.

48:40

Well, here I can see this

48:42

speculative story that we can take

48:44

to add to our position as a

48:48

retailer Investors,

48:51

so we can gain from the speculative

48:53

story, we have to see

48:55

what the catalysts are. Well, this is my

48:58

estimate from several sources, which

49:00

says MITI is 90 to 97%.

49:03

Yes, it's bad for solar fans,

49:06

and microchips aren't yet available. But

49:10

at least, if there's expansion in the future,

49:12

building refineries and all sorts of things, it

49:15

could be better than the

49:17

others. Because they have a

49:19

higher land consensus, even though it's not operational yet.

49:22

This isn't operational yet, and logistics

49:24

are cheap, friends, by geography.

49:26

I'll explain later in the

49:27

next section.

49:29

And at MITI, Sandiaga Uno is

49:31

certainly affiliated with him, right? [clears throat]

49:36

So, mining requires stricter regulations,

49:39

so it needs

49:41

stronger political figures. Well,

49:43

next there's class. This cash is

49:45

smaller, and the purity can't be estimated, it

49:48

can't be estimated, I

49:50

can't find any data sources. And

49:52

there's KKGI, which also can't be

49:54

estimated. And finally, there's profit,

49:56

friends. KKGI and profit are already

49:58

operational, friends, eh

50:02

mining The silica.

50:04

Well, and the estimate is based on geology.

50:08

I didn't find this, uh, uh, the

50:12

sources of profit, but based on the

50:15

geology, the profit in East Kalimantan is

50:20

91 to 99%, friends. Uh, the

50:22

purity. Even if I'm wrong, but

50:24

at least the purity there is on

50:27

average that much from the geology

50:31

I read on Google. Okay, the second thing

50:34

is the location, I don't know yet,

50:36

friends.

50:38

I don't know the boundaries of this profit yet. Well,

50:40

clearly, it's in

50:42

East Kalimantan in the

50:45

next part, uh, I'll discuss that.

50:47

[clears throat]

50:49

[snorts]

50:50

Well, here, this profit is not clear

50:53

because it doesn't have boundaries in

50:55

this area.

50:58

And what's the advantage?

51:00

The infrastructure is more complete,

51:01

friends. in East Kalimantan.

51:04

[snorts]

51:05

But the downside is we don't know

51:09

where the mining location is that extracts it. Meanwhile,

51:11

the infrastructure is

51:13

poor, but uh, it's close, friends. Mind

51:16

to port. Mind to port. What's the distance from the

51:19

mine to the

51:22

e-port? Uh, port.

51:25

So, the ee port is close to the mine, the

51:29

mine is also close to the port.

51:31

So, operations can be

51:32

potentially cheaper. That's why I'm

51:37

including MITI here because it has

51:39

potential.

51:41

So, let's take a look at this for a moment

51:44

before we judge, let's discuss

51:47

MITI first. Well, MITI is

51:51

close to the port.

51:54

So, for e-ports, importing materials

51:57

from abroad, like gas

52:00

and also data, uh, sori data, and also

52:04

chemicals and other things. The data

52:07

I mentioned earlier, I

52:10

presented, is

52:12

cheaper for MITI because it's close

52:15

to the port. Imports there are close, only 2

52:19

to 10 kilos, and exports are also close,

52:21

2 to 10 kilos, so it has the potential to be a

52:24

low-cost producer, friends. Well,

52:26

I don't know the location of this cuan

52:28

,

52:30

but it seems more central than

52:32

MITI, which is closer to the sea.

52:36

[snort]

52:37

[clears throat]

52:38

So, finally, uh, we'll judge the silica

52:43

industry in Indonesia.

52:45

The first is demand.

52:47

This demand is dark green, Friends, I see

52:49

good demand. In terms of exports, there's the

52:52

fight between America and China, and the

52:55

Middle East conflict, so

52:57

energy will need to be sought alternatively. Not

53:00

to mention the narrative from ee China that wants to

53:03

reduce dependence on oil, wants to

53:06

use electric cars and everything

53:08

electric. If you go to Concing, a

53:11

modern city in China, everything is

53:13

based on electricity, friends. That's why

53:15

I see where this is good,

53:17

friends. If everything

53:18

uses electricity, it will require

53:20

more power, so diesel will

53:23

decrease, and electric power will be in

53:26

higher demand. So there's market share

53:28

that

53:30

ee is taking. So we're making the distribution

53:33

mild, mild-effective. So, in

53:36

the distribution, there are some COGS that

53:39

must be imported, related to the war.

53:43

There are also those that aren't like that, like ee,

53:47

who had two COGS in China. The

53:50

last one—uh, sorry, the last one is the

53:53

supply. I also

53:54

see good supply, friends, because

53:56

the supply is abundant, but the value

53:59

creation is large, friends, right?

54:02

So, abundant, large value creation

54:05

means the margin is very large,

54:07

friends, not eroded by

54:10

price increases. sensitive. So, silica is

54:12

not price sensitive because it has a

54:14

large supply. But if it

54:16

is downstreamed, the value creation is large

54:19

so the CO2 remains the same, but

54:22

the margins can be higher. If,

54:23

for example, the technology is more advanced, it can be

54:25

made into iPhones,

54:27

things like that, right?

54:30

But the processing in Indonesia

54:33

is poor, friends. There are no

54:35

revenues, no refineries, right? We can't

54:38

make wafers, we don't have

54:40

photolithography machines and other things

54:43

. So I see

54:45

the processing is very poor in

54:46

Indonesia. So we can only export

54:48

it for ee

54:51

[clears throat]

54:52

to become solar wafers or

54:55

silicon wafers. Now, the next thing

54:57

is regulation. Well, the regulation for

55:00

silica is unclear. I haven't

55:01

found regulations that are as strict

55:03

as coal, nickel, and

55:06

gold. Well, I see the potential, my

55:09

friends, very good

55:11

potential. Logically, if we

55:14

can't make wafers, at

55:17

least we can make glass. If,

55:20

for example, they want to make solar

55:22

wafers, solar panels need a

55:24

lot of glass.

55:25

Want Making a cellphone requires a lot of glass,

55:28

making an e-laptop requires a lot of glass.

55:31

Electric cars also require a lot of glass.

55:33

That's why I see this industry as having

55:36

high potential, friends. Okay.

55:39

Okay, next is a quote

55:42

from One Buffet. For those of you who are still

55:45

confused about research, like, "Bro, I'm

55:47

afraid of making a mistake." "It's also a headache to find the data.

55:50

" Well, we can

55:52

estimate. That's why Warren Buffett once

55:55

said, "It's better to be roughly right

55:58

than precisely wrong." So it's

56:02

better to be a little bit right

56:06

than to be totally wrong for one

56:09

buffet. And these are eh quotes that

56:12

can be used to make a reset.

56:15

And these are the resources,

56:18

eh, data and also

56:21

facts that I used from

56:24

these websites to make the research that

56:28

I presented earlier. Okay, that's all

56:31

from me. E hope you learn,

56:34

Friends. Goodbye.

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