TRANSCRIPTEnglish

Cathie’s Wood’s *Wild* Stock & Crypto Targets

35m 13s5,747 words867 segmentsEnglish

FULL TRANSCRIPT

0:00

now we've got to talk Kathy Wood and

0:02

what is going on with this crazy Big

0:04

Ideas pamphlet it's 65 pages long we're

0:08

just gonna look at some of the bottom

0:09

lines and comment on them but she's got

0:11

a 65 page report on her big Ideas we

0:15

already know four or her five main

0:17

Theses for all of these public

0:19

blockchain she sees a large-scale

0:21

incorporation of blockchain tech let me

0:24

be very clear about my opinion on

0:26

blockchain Tech before I keep going here

0:28

but my opinion on blockchain Tech is

0:31

very very simple it is that in the

0:33

future there's going to be no difference

0:34

between blockchain technology which is

0:36

fantastic and you turning on your water

0:39

faucet in other words it is going to

0:41

become a commoditized uh utility I don't

0:45

want to say Monopoly because I think

0:46

there will be many different utilities

0:47

and much like in your area you might be

0:50

able to get a t or Spectrum there'll be

0:52

a few big blockchains that most people

0:54

use and they can be customized for

0:56

certain purposes or companies but I

1:00

I I don't find necessarily it's

1:02

something that we can directly invest

1:05

into without a substantial speculation

1:07

premium at this point and eventually

1:09

they'll just end up lowering costs at

1:11

corporations so I think corporations

1:13

will end up benefiting most from from

1:15

blockchain utilities uh and and so

1:18

that's probably the best place to invest

1:20

to get exposure to them is when it

1:22

becomes profitable to use blockchains

1:24

companies will be all over that

1:26

efficiency

1:27

that's my take now ai of course we

1:30

expect AI to be big we'll be talking

1:31

about that here battery storage robotics

1:34

you know Tesla for example buying their

1:36

own robotics manufacturer in 2016 uh in

1:39

Germany fantastic uh multi-nomic

1:42

sequencing or multi-ohmic whatever

1:45

genomic technology great still gonna be

1:47

a while before uh we've got substantial

1:50

Gene editing going into people who are

1:52

already live uh but uh okay it's gonna

1:55

be a space to pay attention to over the

1:57

next few decades that's that's

1:58

absolutely true uh there's talk over

2:00

here

2:01

that uh smart glasses and basically

2:04

virtual reality and augmented reality

2:06

will be constrained until we get

2:09

advances in battery energy density yes

2:13

possibly but this is actually where

2:15

apple has a very interesting potential

2:18

solution

2:20

so apple is coming out with this this uh

2:24

virtual reality and augmented reality

2:26

headset and what they're actually doing

2:28

is they're detaching the battery from

2:31

your actual head and it's probably

2:34

something you'll end up putting in your

2:35

pocket and uh then unfortunately you

2:38

have a like probably a stupid lightning

2:39

cable or something going down there but

2:42

it'll increase the functionality a lot

2:44

because the last thing you want is some

2:45

kind of headset that you can only wear

2:47

for like 20 minutes and the battery's

2:48

dead

2:49

yes in the future when boundary

2:52

technology is substantially better yes

2:54

uh it'll be a lot more convenient to be

2:57

able to use these virtual reality and

2:58

augmented reality headsets personally

3:00

though I'm very excited about being able

3:02

to the Apple headset I want to play with

3:04

that because they talk about being able

3:05

to turn a wheel much like the wheel the

3:07

Apple watch has and go from a virtual

3:10

reality Vision to an augmented reality

3:12

Vision now I personally get headaches

3:14

when I use virtual reality I think the

3:16

best kind of virtual reality will be

3:18

something more like a Google Glass where

3:20

you basically look through glass and you

3:23

see the world but you get those little

3:25

Holograms or or you know heads up

3:27

displays that can pop up I like that

3:29

idea but uh TBD the the woozy glasses

3:33

that promise to do that were not were

3:35

not very good now I thought this was a

3:38

little remarkable

3:40

is that Kathy thinks we're going to

3:42

potentially see

3:44

8.5

3:45

GDP growth between 2021

3:50

through at least 20 40. if not through

3:52

2025.

3:55

that's crazy

3:57

now oftentimes I think a lot of the

3:59

projections that Kathy and Ark invest do

4:01

and I respect them a lot I agree with

4:04

her will probably exceed GDP growth

4:06

estimates uh but I think sometimes the

4:08

projections they give are designed to

4:10

make you go that's nuts and then make

4:12

people talk about it it's a great

4:14

marketing tool fantastic marketing tool

4:18

but in order to sort of showcase how

4:21

different this would be we have this

4:23

really highly manipulated graph on the

4:25

left that takes GDP growth rates going

4:28

all the way back to I kid you not 100

4:33

000 BC

4:35

before the Common Era so in other words

4:38

one hundred thousand one hundred and two

4:41

thousand twenty three years ago

4:43

is is where we go back to starting to

4:45

measure GDP

4:47

for historical context

4:49

I don't think this is the kind of

4:50

historical context we need

4:53

but anyway

4:55

Kathy believes instead of our economy is

4:57

growing at 2.6 globally they're going to

5:00

grow at 8.5 percent

5:02

this is pretty remarkable I don't think

5:06

so uh especially with a deflation uh

5:10

coming which Kathy and I agree on that

5:12

the deflation is is probably a greater

5:14

risk than inflation uh leading to

5:17

substantial more productivity with less

5:19

spending more productivity less spending

5:21

in theory should unlock more GDP growth

5:23

or just unlocks less spending and people

5:25

investing more and if people invest more

5:27

their wealth goes up which is great but

5:30

if their wealth goes up GDP doesn't

5:31

necessarily go up because the velocity

5:33

of money on investing is like one to two

5:36

whereas the velocity of money on

5:37

spending is like four to five

5:39

so if people invest more they become

5:41

richer they're able to do more with less

5:43

but they don't necessarily contribute to

5:45

GDP as much

5:46

I don't know about that and I don't like

5:49

the manipulation of the chart so I'm

5:51

gonna give a red flag on that

5:53

now I do like this I agree with Kathy

5:56

when she says that AI training costs are

5:59

declining at an annual rate of 70

6:01

percent and that now the cost to train a

6:05

language model

6:06

has gone down from 4.6 million dollars

6:09

to just 450 000 in two years

6:13

and that AI should increase the

6:14

productivity of knowledge workers by

6:16

more than 4X now there are two things

6:18

that you need to know here number one

6:21

what should you do to prevent yourself

6:23

from getting replaced by AI there's only

6:26

one thing you can do you can be a

6:28

creative that's it you have to be able

6:30

to prove that you have creative input

6:31

otherwise you will get replaced by a

6:33

robot okay the second thing to know

6:36

about this is

6:39

I and I got a lot of a lot of like a lot

6:41

of people were freaking out at me when I

6:43

was talking about house hack using AI uh

6:46

which which we will do with with human

6:48

moderation but a lot of people were

6:50

freaking out about this because they're

6:51

like Kevin

6:53

how are you gonna spend more money on AI

6:56

than Google does that doesn't make sense

7:00

you're an idiot that's the kind of crap

7:04

that I was getting in the comments and

7:06

it basically shouted to me God you know

7:10

nothing about AI because see we can

7:13

actually build our own AI using

7:17

Google's AI that's the point so the

7:21

better things like chat GPT get and the

7:25

better things like Google AI get the

7:28

easier it is for us to use their neural

7:30

Nets train them the way we want them

7:34

and then we become more efficient so AI

7:38

is not this this crazy world of

7:42

everybody trying to build their own

7:45

house right it's not like everybody's

7:47

trying to build their own little Hut and

7:50

while that companies are creating their

7:51

own little Huts a better analogy is to

7:54

think about it as like there's a massive

7:56

house and what you're really doing is

7:58

you're kind of like expanding that

8:01

you're trying to build on top of that

8:02

house like hey let's build another

8:04

add-on and let's build a second story

8:06

all right it's it's building blocks that

8:08

are that are being created would be a

8:10

better analogy like think about it as

8:11

sort of like Legos right the better

8:13

Google gets and the larger Foundation

8:15

they build the more people can build on

8:18

top by using their products and services

8:21

with uh say like a Google AI or whatever

8:23

so I actually think it's great the

8:26

better AI gets

8:27

in in Enterprise the more companies can

8:31

implement it into their own businesses

8:32

it's fantastic absolutely fantastic

8:35

so okay some PDFs here uh or some charts

8:38

here on basically things becoming less

8:40

expensive for AI Bill fine already

8:42

talked about that uh AI could lead to a

8:45

tenfold increase in productivity vendors

8:46

could capture 10 of the value created by

8:48

the products and AI Engineers could

8:50

generate up to 14 trillion in Revenue

8:52

blah blah blah okay whatever so you get

8:54

some crazy projections here on AI but

8:57

the other argument here that Kathy makes

9:00

is that she believes that

9:03

uh AI will reduce the amount of average

9:07

hours worked per day globally even more

9:10

apparently right now the average hours

9:12

worked and I didn't know this but

9:14

apparently the average hour hours worked

9:16

daily this includes like weekends and

9:19

holidays and everything is 4.7

9:22

so on average people work about 4.7

9:25

hours a day and Kathy projects this will

9:27

go down to about 4.4 and that reduction

9:30

in worked hours will probably lead to

9:32

more time spent online

9:35

more time spent online should be good

9:38

for companies like trade desk now while

9:41

she doesn't specifically mention trade

9:43

desk

9:44

she does talk about how connected TV ad

9:47

spend should grow 20 in real terms at a

9:50

compounded annual rate especially as TV

9:53

non-digital ad spend goes digital

9:57

interesting okay

9:59

now this though I thought was a little

10:01

bit of a stretch

10:04

talking about immersive virtual

10:06

experiences should Galvanize the next

10:09

wave of Gaming

10:10

and she's using this almost

10:14

metaverse-esque example to suggest that

10:17

Disneyland in California gets about 20

10:22

million at an annualized rate uh

10:25

attendees

10:27

and that

10:28

Tommy play in Roblox or Walmart land get

10:33

more like 35 million annualized visitors

10:38

okay

10:40

first of all I don't think

10:43

focusing on what children like

10:46

five-year-olds are doing on Roblox

10:49

is at all relative to families going to

10:54

Disneyland which is extremely expensive

10:56

to travel to and extremely expensive to

10:59

stay at an extremely expensive to visit

11:02

for Park tickets and extremely expensive

11:04

when you're on the inside and you want

11:05

to even just survive on food and and

11:07

drinks that you can get there and you

11:09

can't even get alcohol and most of of

11:11

Disneyland Parks which is crazy it's

11:13

like a crime but anyway beyond beyond

11:15

focusing on that crime I I don't know

11:18

that there's any value at all and

11:20

comparing the annualized attendance to

11:23

theme parks in Roblox

11:25

to real amusement parks I I don't really

11:29

think this matters at all okay Max

11:32

attends theme parks daily in Roblox and

11:36

roller coaster tycoons daily in Roblox

11:40

that has in my opinion zero to do with

11:44

our spending when we go to an actual

11:47

theme park I don't know so I'm not

11:49

really sure where that's going but then

11:51

again you know kids do spend a lot of

11:52

money on Roblox okay then we talk about

11:54

digital wallets and how digital wallets

11:56

are taking over I'm a little skeptical

11:58

about some of this data because

12:00

a lot of people have multiple digital

12:02

wallets and I'm not sure that people

12:04

having multiple digital wallets has been

12:06

accounted for and some of these charts

12:09

and I think that's a big risk factor yes

12:11

more people are getting digital with

12:13

their wallets yes cash is going down

12:15

thankfully cash is stupid you should

12:18

never spend money uh with cash unless

12:20

you're buying drugs or things that are

12:22

illegal uh beyond that I think

12:24

everything should be on a credit card

12:26

don't use debit cards and of course we

12:29

should see digital wallet growth but

12:31

then again I've got like I feel like 17

12:33

digital wallets so I'm not confident in

12:36

in some of those charts

12:38

uh I do think it's interesting you know

12:40

Kathy makes it very clear there have

12:41

been a lot of negative things that have

12:42

happened for crypto markets positive

12:44

things that have happened for markets uh

12:46

but she talks most interestingly here

12:49

about nfts highlighting the potential

12:52

for mainstream crypto demand and

12:55

could private key cryptography in the

12:58

hands of Millions

13:00

I I I don't I don't know that I support

13:04

some of these vague claims like dozens

13:07

of companies and Publishers have

13:09

announced web 3 ambitions the only

13:11

reason companies are doing that is

13:13

because it was a fad the only reason

13:16

Disney wanted to start selling uh you

13:19

know digital versions of Spider-Man

13:22

doing stupid poses on you know Vive or

13:26

whatever is because people are actually

13:28

buying that garbage and it's just a

13:31

profit opportunity I do not actually

13:33

think that nfts have any mainstream

13:37

functionality if you're just buying

13:39

poses now it's one thing if I'm going to

13:42

be able to buy an nft and and uh you

13:45

know that gives that's like my annual

13:47

pass for going to Disney fine but if the

13:51

annual pass for Disney

13:52

I don't know what it costs let's say

13:54

it's cost a thousand bucks okay let's

13:56

say the annual cost to attend a Disney

13:58

park is a thousand dollars

14:00

am I gonna pay two thousand dollars for

14:02

the nft of that annual pass hell no

14:04

would I pay a thousand twenty five

14:07

dollars and you know I I get some other

14:10

perk that I value at twenty five dollars

14:12

would I then get the nft fine but it has

14:15

to align with the the value the value

14:17

proposition has to be so great to

14:19

convince me to actually give a crap that

14:22

it really doesn't make a difference

14:23

relative to here's your annual pass card

14:25

okay great it's now on my Apple wallet

14:28

or my you know the nft part of my Apple

14:30

wall do I really think that has some

14:33

kind of potential for massive like

14:35

revenue for companies no it's just

14:39

basically moving things from a physical

14:40

thing to a digital thing like the Apple

14:43

wallet like when I go to Dave and

14:44

Buster's now I don't use the Dave

14:47

Buster's power card anymore I used to

14:50

spend so much money as a child at Dave

14:52

and Buster's and I don't understand how

14:54

my dad pulled it off because we live

14:56

paycheck to paycheck and didn't have

14:57

money to do this but it'd still take me

14:59

to Dave Busters all the time and I'd

15:01

always play at that stupid rigged game

15:03

where the little light goes around in

15:05

the circle and then you try to hit the

15:07

dot and I'd win the jackpot a lot but we

15:10

know it's rigged uh it would I I didn't

15:13

realize it was rigged then I I refuse to

15:15

play it now because I realize it's raid

15:17

but anyway thanks uh who did it Mark

15:19

Roper I think did the piece on that but

15:21

anyway

15:22

I had the gold card back then okay I

15:24

felt powerful now I just have a stupid

15:26

little digital thing in my arm whatever

15:28

all right so uh okay yeah so we know

15:31

Bitcoin is inflation resistant but this

15:33

is ridiculous to to suggest that Bitcoin

15:36

is transparent is absolutely ridiculous

15:38

we have no idea who holds what wallets

15:42

yes we can track as things move but

15:47

so the transparency argument is not

15:49

there yet unless we know uh who who

15:52

holds every wallet address there's

15:54

really little transparency especially

15:56

when you have things like which I know

15:57

tornado cash was shut down but there are

15:59

plenty of other things like tornado cash

16:00

that make it very difficult for you to

16:02

figure out what is going on on

16:04

blockchain uh yes the theory of it is

16:07

transparent but but it's somewhat

16:09

ridiculous so uh okay Bitcoin has a

16:12

durable Network Bitcoin getting to a

16:14

trillion dollar uh market cap again uh

16:18

or or yeah uh billion okay yeah and then

16:21

Bitcoin going to a million bucks a coin

16:23

the thesis of going to a billion a

16:26

million dollars a coin

16:27

is really this thesis that it's going to

16:29

take the place of gold so let's go over

16:33

here here is the price Target assumption

16:36

so the bear case is that no corporations

16:40

want to hold Bitcoin is that in the bear

16:43

case

16:45

Global remittances so sending is five

16:48

percent okay maybe because it's easier

16:51

to send money internationally fine

16:53

Emerging Market currency point five

16:55

percent maybe it's not going great for

16:58

El Salvador right now but maybe

17:00

uh Global seizure resistant asset Global

17:05

High net worth individual deposits into

17:08

Bitcoin one percent

17:09

in her bear case she believes that

17:12

Bitcoin will represent 20 of the gold

17:14

market the gold Market's like

17:17

10 trillion dollars right now

17:19

and uh the bear case for Kathy is that

17:22

by 2030 we're going to sit at uh Bitcoin

17:27

uh two trillion dollars solely because

17:30

of gold that's a 5x from where we are

17:32

now

17:34

it's not too terribly unbelievable to

17:37

think that is possible that that that's

17:39

not terribly unbelievable so that's

17:42

that's a 5x roughly four to five vaccine

17:45

market cap 20 of gold reserves in in

17:48

Bitcoin as a digital gold especially

17:51

with its inflation resistance I'll

17:53

actually give credit to that idea do we

17:56

think it'll go to Five a 50 in the uh

17:59

the bull case over here

18:01

a little more of a stretch by 2030 Maybe

18:05

by 2040 2050.

18:07

but if the other assumptions start

18:09

getting a little extreme that

18:10

potentially five percent of all

18:12

corporate cash will be in Bitcoin or

18:14

that 25 so in other words one in four

18:18

Global remittances would be done through

18:21

BTC

18:23

and ten percent of all U.S settlement

18:26

volumes going through BTC

18:29

for banking I don't think so I think

18:32

banks will use their own blockchains but

18:35

I don't think that will have anything to

18:36

do with Bitcoin or necessarily the

18:38

Bitcoin lightning Network so

18:41

I'm very skeptical of of the bull case

18:44

scenario

18:45

uh then of course we get to the idea of

18:48

pharmaceuticals need Innovation I mean

18:50

this is very true big fan of that I

18:53

think actually the biggest risk for

18:55

Pharma

18:56

is uh what kind of Regulation we get out

19:00

of controversies like the Pfizer

19:02

controversies right because think about

19:04

it

19:05

look it's obvious Pfizer exposes itself

19:09

to the potential for gain of function

19:10

research they don't call it that they

19:13

call it directed Evolution because

19:16

basically what they're doing is they're

19:18

taking viruses and

19:21

looking at hey if we infect five monkeys

19:24

with this virus which monkey has the

19:27

most contagious strand now let's take

19:29

that really contagious monkey and infect

19:31

a bunch of other monkeys with it and

19:33

then they'll take the most contagious

19:34

out of that that is called directed

19:36

Evolution but it's dangerous because

19:39

it's likely to lead to a virus that can

19:42

actually gain functions because you're

19:45

taking the more virulent strain over and

19:47

over and over again and so there's a

19:48

risk to this sort of research

19:52

of substantially new forms of Regulation

19:55

that limit the potential for businesses

19:58

like Pfizer to actually continue

19:59

conducting this sort of research now on

20:02

one hand

20:03

this is where Society has to say how

20:05

much of that kind of studying do we want

20:07

and are we okay with that kind of

20:09

research I don't know but there's a lot

20:12

of social media backlash over that which

20:14

could potentially lead to a lot of new

20:16

regulation that actually crimps the

20:18

ability of the pharmaceutical in

20:19

Industry to continue to to innovate with

20:22

with a lot of

20:24

the type of research they do now

20:26

especially when it comes to mRNA

20:29

research

20:31

we'll see I mean it seems pretty

20:33

incredible at least the potential that

20:35

mRNA could help solve things like

20:37

cancers or cardio diseases or

20:39

neurological diseases and and so it'll

20:42

be interesting but I think there's

20:44

there's definitely a regulatory risk

20:46

factor of investing all in on genomics

20:49

and and Pharma right now and personally

20:52

I know enough to know that I know

20:56

nothing about the pharmaceutical

20:59

industry

21:00

and for me if I don't understand it I'm

21:03

not going to invest in it that's just my

21:05

taking it I do think there are going to

21:07

be some really incredible new therapies

21:10

uh in the pharmaceutical and Gene

21:13

editing world I'm really Blown Away with

21:15

the stuff that you can already do right

21:17

now even just sequencing embryos to

21:20

decide hey like which which baby uh

21:23

embryo do you want to implant in an in

21:26

vitro fertilization scenario that maybe

21:28

doesn't have certain diseases uh that

21:31

that certain members of a couple have so

21:35

you know if a couple one person and a

21:37

couple has asthma you could actually

21:39

look at the embryos and go which of the

21:41

embryos doesn't have asthma and implant

21:43

that

21:44

now that's also starting to lead to

21:46

ethical concerns over hey like are we

21:49

you know engineering children uh so

21:53

these are all going to be things that

21:55

Society sort of has to deal with uh and

21:57

uh and evaluate and I'll tell you I know

22:00

way too little about the Pharma industry

22:02

to uh to be able to place bets there

22:06

so uh but I'm very curious about it

22:08

we'll see what happens I do think

22:10

regulatory concerns are going to be a

22:11

huge potential impediment uh anyway so

22:15

uh here on the electric vehicle space

22:18

Arc forecasts that electric vehicle

22:20

prices will Decline and sales will

22:23

increase at more than a 50 annual rate

22:25

to 60 million units by 2027

22:30

I'll tell you if we're going to get to

22:31

60 million electric vehicles by 2027

22:34

there's going to be nobody other than

22:36

Tesla and maybe byd that actually have

22:39

the potential to fulfill that kind of

22:41

demand that quickly uh Ford thinks

22:44

they're going to get to 600 000 Vehicles

22:46

by 2025 and I don't believe them as far

22:48

as I could throw them

22:50

I don't believe Ford at all I think

22:52

Ford's full of crap especially having

22:54

gone through their last drawings called

22:56

it's disgusting they see their biggest

22:59

they Dodge questions on margin because

23:02

they believe for their actual electric

23:04

vehicles because they don't expect

23:05

margin on electric vehicles because they

23:07

can't figure out how to be efficient in

23:09

manufacturing they expect to make lots

23:11

of money on software but then you have

23:14

to ask yourself do you really think Ford

23:16

is a software developer

23:18

it's not a bet I would make

23:20

not at all

23:22

faster charging rates projected by Arc

23:25

kind of interesting to me especially

23:27

since uh Arc suggests that EVS have

23:30

reached price parities with internal

23:31

combustion engine vehicles I believe

23:33

this uh the EV charging rate

23:38

uh so this this forecast I also think is

23:43

actually very exciting because one of

23:45

the most frustrating things with TR uh

23:49

charging right now electric vehicles is

23:52

it takes long it still takes long you

23:55

can go to a supercharger and yes the

23:57

superchargers are great but you go to

24:00

most of the regular charging

24:01

infrastructure that we have the charge

24:03

Point Chargers uh whatever uh Electrify

24:07

America Chargers these things are slow

24:10

you're not getting a substantially fast

24:12

charge at a lot of these places you're

24:14

going to when you go to a restaurant and

24:16

oftentimes you go to let's say Disney

24:18

World where they have charge Point uh

24:20

chargers for Disneyland where they have

24:21

them you're plugging this thing in

24:23

overnight so once the Stalls are taken

24:25

they're taken for a while just to charge

24:27

one of these up so that leads to a lot

24:30

of anxiety for the potential new

24:33

Adoption of EVS a lot of folks at least

24:36

anecdotally who uh or resistant to an

24:39

Eevee or worried about the potential for

24:41

being able to charge quickly and so I

24:43

agree that charging rates need to

24:45

improve and Kathy here suggests that in

24:47

the past four years charging rates have

24:49

already improved nearly threefold from

24:52

40 minutes to 15 minutes for 200 miles

24:54

of range and during the next five years

24:57

it could drop fourfold again she

25:00

projects to getting 200 miles of range

25:03

in four minutes

25:06

now that is pretty fascinating if

25:10

there's the potential we could get down

25:11

to 200 uh miles of range in just four

25:14

minutes I think EV adoption can sustain

25:18

uh this this growth that she's

25:21

projecting getting to 60 million

25:23

Vehicles over 20 by 2027 because you

25:25

need people suggesting oh I only need to

25:27

plug in for four minutes that's less

25:28

than the time it takes to fill up my my

25:30

car with gas to get you know to 300

25:33

miles of gas uh uh range at uh at a gas

25:36

station so kind of fascinating

25:40

interesting idea battery cost decline

25:42

should continue to drive exponential

25:44

growth in EV sales

25:46

yep totally agree with that

25:48

although EV sales have scaled

25:50

exponentially the consensus forecast is

25:52

linear now I think there's the potential

25:56

and and maybe she talks about it here

25:58

but there's the potential she's not

26:00

considering the supply limitations via

26:04

lithium or battery materials needed so

26:08

in other words

26:09

the Wall Street estimates or that

26:12

electric vehicles are going to grow at a

26:14

relatively stable rate where she expects

26:16

to see this essentially explosion in

26:19

electric vehicle adoption but the

26:21

limitation of Supply chains might be an

26:25

issue here that will lower the potential

26:27

for Ev adoption uh and and restrict the

26:31

Kathy Woody and projection of EV growth

26:34

and that's not really mentioned here as

26:37

a risk factor I think it should be

26:39

mentioned

26:41

all right so then uh we've got

26:44

autonomous ride hailing scaling towards

26:47

widespread commercial adoption today

26:50

autonomous ride hailing Services Delight

26:52

Riders across 15 cities internationally

26:54

okay I don't think we're close to this I

26:58

understand that in certain cities things

26:59

are perfectly mapped out but I don't

27:02

think we're mapping the world anytime

27:04

soon

27:04

and I think even though for example

27:07

Tesla's full self-driving is pretty good

27:10

you know I give it a 90 grade Tesla's

27:15

full self-driving is still not good at

27:17

seeing dips in the road

27:19

elevation changes on the road even with

27:21

the latest software update it still does

27:23

funky things like if you need this is

27:27

probably my biggest complaint with Tesla

27:28

uh full self-driving

27:30

I'll just draw it out

27:32

okay if you are on a let's say uh uh

27:37

this is a road over here this number one

27:40

lane over here is a left turn uh Lane

27:43

that uh that sort of appears so that

27:47

means you you have a curb here and then

27:50

the left turn lane appears right and

27:52

that left turn lane is just a temporary

27:54

left turn lane so you could turn left at

27:56

a traffic intersection so you've got the

27:58

number one lane here on the left the

28:01

number two lane

28:02

is your continuation of traffic lane the

28:06

number three lane is another

28:08

continuation of traffic lane and then

28:10

your number four lane is a merge lane so

28:13

it's a temporary merge lane that then

28:16

disappears it gets curved off right

28:19

and let's say the Tesla enters uh this

28:22

space from the right I have to deal with

28:24

this regularly in multiple different

28:25

areas the Tesla enters

28:28

from the right so it's in the number I

28:31

don't know three lane over here uh on

28:33

the right

28:34

the Tesla very regularly when it has to

28:38

enter uh traffic from a right term and

28:44

it needs to end up all the way on the

28:46

right on on the left so we're gonna go

28:49

from X

28:51

to X1 that's what we need to do the car

28:54

is still regularly prefers

28:57

to go into number four get up to speed

29:01

at number three Totally Miss the left

29:05

turn panic and slow down over here and

29:08

try to come to a stop to try to go over

29:10

here does this at multiple different

29:12

intersections it still has not gotten

29:15

the mentality that maybe I should wait

29:18

for traffic to clear and instead of

29:20

going into the number four lane I should

29:22

wait until traffic's clear and go all

29:24

the way over

29:26

still not doing that now I understand

29:28

that's just software we can get there

29:30

I'm just saying it's stuff like this

29:33

it's stuff like dips in the road and

29:35

it's those more complicated scenarios

29:37

that it's still not good at yet I give

29:39

it that 10 so 90 good 10 still doing a

29:45

lot of learning

29:46

uh and I think it's going to be quite a

29:48

while before we get this sort of mass

29:49

scale of autonomous taxis hopefully it's

29:52

as Arc suggests by 2026

29:55

that might be a little optimistic now

29:57

the idea that ride hailing is an 11

30:00

trillion dollar potential addressable

30:01

Market

30:03

yeah I'll agree with this I I agree that

30:07

in the future we probably won't even

30:10

have our own cars we'll just be able to

30:13

take an iPhone app and go take me from

30:15

here to here and then you can get rid of

30:16

parking lots then you can get rid of

30:19

having a car and owning a car but that's

30:22

probably still 10 plus years away

30:25

this idea is well that taxis could

30:27

eliminate sixty percent of short haul

30:29

airline flights

30:31

also somewhat interesting because

30:34

flying sucks yeah it's you know going to

30:38

the airport dealing with TSA uh and and

30:41

having to fly you know to like say Vegas

30:43

you know a a commute from here to Vegas

30:47

is about six hours

30:49

but if I need to do that through lax I'm

30:52

looking at at least an hour of a commute

30:54

to get there you got to be two hours

30:55

early I know you could show up last

30:57

minute but then it's scary and then you

30:59

get flight delays then you gotta

31:01

actually fly then you're at the airport

31:02

then you gotta get a rental car when

31:04

you're there you're not saving any time

31:07

you're still looking at a six hour

31:09

commute you may as well have just driven

31:11

it

31:12

they have an autonomous tax you could do

31:14

it if the battery ranges are long enough

31:15

hey maybe maybe

31:19

so uh and then of course we get to

31:20

autonomous Logistics Robotics and that

31:23

so it's an interesting idea

31:26

that uh as time goes on things of course

31:29

are going to become a lot more uh

31:32

autonomous and we'll see a substantial

31:34

adoption in electric vehicles and

31:36

autonomous taxis but a lot of these

31:39

projections while they're they're

31:42

clearly on the horizon I think in the

31:44

near term

31:46

are not anywhere close to us yet full

31:48

autonomous taxis me I don't I don't see

31:51

it yet until at least 2028 and Beyond uh

31:54

at least another two to three years

31:55

beyond the projections here a million

31:58

dollar Bitcoin takes some substantial uh

32:02

especially optimistic adoption hopes

32:04

that I don't think we're going to see in

32:06

blockchain uh genomics I think are going

32:11

to get really hampered by regulation

32:13

especially where we see uh sort of

32:17

Humanity right now and it's and its

32:19

willingness to allow uh pharmaceutical

32:22

companies to essentially have free reign

32:24

on genomics and and the engineering of

32:27

uh of DNA

32:28

probably going to be some regulatory

32:30

impediments in this world and I think

32:32

this is why you've got a lot of

32:33

pharmaceutical companies kind of racing

32:35

to do as much as they can now before

32:37

they start getting limited uh and then

32:39

of course we have to consider Supply

32:40

chains for Batteries uh artificial

32:43

intelligence that's probably the place I

32:45

agree with Kathy the most in that really

32:47

you can build Ai No Matter What company

32:50

you are right now using what's already

32:52

been learned in the AI space so

32:54

absolutely agree with Kathy on the AI

32:57

space

32:58

and the potential for revolution in EV

33:01

is there it's probably going to take a

33:03

little bit longer than expected though

33:05

but overall these are very good ideas

33:07

and we are moving towards a future that

33:09

is in line with Kathy's vision of the

33:11

future uh but I'm I'm not certain how

33:14

that they will come as fast as expected

33:17

if you're able to charge at home it's

33:18

not really an issue uh in terms of fast

33:21

charging yeah maybe you got to keep in

33:23

mind though a lot of people are

33:25

frustrated about the ideas of or the

33:27

idea of of buying electric vehicles

33:30

because they they a lot of folks when

33:33

they make the decision to purchase a

33:34

vehicle they think about what they might

33:37

do not what they regularly do right so a

33:40

lot of folks are like oh well what's the

33:42

range oh can I get to Vegas and back

33:44

without having to charge like these

33:46

these ideas of

33:49

The Edge case scenario surprisingly

33:52

weigh a lot in purchasing decisions now

33:54

I'm going to make this up because I

33:56

don't know this with certainty but I

33:58

wouldn't be surprised

34:00

that the range of a vehicle probably uh

34:04

is is

34:06

a purchasing factor for that has about a

34:10

30 weight I'm making that up but I would

34:13

believe that people's decision to

34:14

purchase one car over another in the

34:16

electric vehicle space 30 percent of the

34:18

decision goes into range I'm making that

34:21

up but I would not be surprised if

34:22

that's true

34:24

on the flip side

34:26

the average daily commute for people

34:29

is about 25 miles

34:32

so really round trip you don't need more

34:35

than an 80 mile battery that that gives

34:39

you you know 50 miles for your round

34:40

trip and a little bit of bonus you

34:43

really don't need more than about 80

34:44

miles of range per day for the average

34:47

user

34:48

yet I think on average most people

34:50

substantially overvalue how much range

34:53

they actually need and that's gonna take

34:56

a while and so I think Kathy's argument

34:58

that hey well as we uh have charging

35:01

Networks that are more convincing to

35:05

buyers we will be able to sell more EVS

35:08

so I that's where I agree with her on

35:10

that argument

UNLOCK MORE

Sign up free to access premium features

INTERACTIVE VIEWER

Watch the video with synced subtitles, adjustable overlay, and full playback control.

SIGN UP FREE TO UNLOCK

AI SUMMARY

Get an instant AI-generated summary of the video content, key points, and takeaways.

SIGN UP FREE TO UNLOCK

TRANSLATE

Translate the transcript to 100+ languages with one click. Download in any format.

SIGN UP FREE TO UNLOCK

MIND MAP

Visualize the transcript as an interactive mind map. Understand structure at a glance.

SIGN UP FREE TO UNLOCK

CHAT WITH TRANSCRIPT

Ask questions about the video content. Get answers powered by AI directly from the transcript.

SIGN UP FREE TO UNLOCK

GET MORE FROM YOUR TRANSCRIPTS

Sign up for free and unlock interactive viewer, AI summaries, translations, mind maps, and more. No credit card required.