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We Need to Talk about Tesla Stock

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0:00

Bloomberg is out this morning to shill

0:02

Tesla, which is somewhat surprising, but

0:04

a lot of really good notes out this

0:06

morning from Bloomberg. First, Tesla's

0:08

self-driving technology could be safer

0:12

than Whimos given its vast mileage data

0:15

collected if their crash data

0:17

mythologies are comparable. Tesla

0:20

reports about 0.15 crashes per 1 million

0:24

miles of vehicle vehicle miles driven

0:27

versus Whimo's average 1.16

0:30

crashes uh per 1 million miles driven.

0:34

Now, I'm just going to throw in my

0:35

comment here that Whimo has literally no

0:39

driver. Tesla, you've got uh you know,

0:43

this is the crash rate on autopilot. So

0:46

you have autopilot miles that you're

0:49

comparing this to plus a human driver to

0:52

take over. So a little bit of adjusting

0:54

probably required there. But that's also

0:56

a pretty significant difference, right?

0:58

0.15 crashes per 1 million miles driven

1:02

and Whimo's average being 1.1

1:05

uh crash per million miles driven. That

1:08

said, you've had substantially more

1:10

miles driven with Teslas. You've had 3

1:13

billion miles driven with Teslas. and 22

1:17

million Whimo miles. So 22 million

1:22

Whimo miles uh divided by 1.16

1:27

implies 19 incidents, right?

1:31

But if I go to Tesla's 3 billion, that's

1:36

that's pretty low. 4.5 when you get

1:39

that. That's pretty dang low. Uh so very

1:43

very low on robo taxi induced accidents

1:45

there. So you've got a pretty bullish

1:47

Bloomberg here. Since Tesla since 2023,

1:50

Tesla's FSD software has tracked 2 and a

1:52

half billion miles, almost 62 times

1:55

Whimo's miles. Although in fairness also

1:58

Whimo is only operating in very geoenced

2:01

areas. Whimo's higher incident rate

2:03

likely stems from its small size with

2:05

only a thousand vehicles versus Tesla's,

2:07

you know, one 1.6 6 mill

2:10

probably way more by now. Uh once

2:12

regulatory hurdles are cleared, Tesla is

2:14

poised to expand faster than any

2:16

existing robo taxi thanks to a sheer

2:19

volume and linear tech stack.

2:23

Interesting. So very bullish piece here

2:26

from uh Bloomberg today. They also say

2:28

that Tesla's vehicles cost 17th that of

2:32

Whimo's despite its early lead in robo

2:35

taxis for Whimo. Whimo faces a scaling

2:38

challenge versus Tesla with about 1500

2:41

vehicles in service after 7 years of

2:44

operations. Its growth remains

2:46

constrained due to a lack of car

2:48

producing capabilities. The

2:50

discontinuation of its current and only

2:52

model, the Jaguar Ipace, forced Whimo to

2:56

seek new partners. Yet Tesla is already

2:59

equipped with mass production capability

3:01

with full control over manufacturing and

3:03

a self-operated platform. These are

3:05

advantages that they're giving Tesla

3:06

here. This idea that Tesla's

3:08

manufacturing them. Tesla has their own

3:11

platform. Tesla self-insures. Whimos

3:14

don't manufacture. Whimo doesn't have

3:16

insurance. It's all third party based.

3:19

Uh and then the mileage that you've got

3:20

driven here is is you know substantially

3:23

larger obviously for Tesla. Any robo

3:27

taxi company that lacks manufacturing

3:30

might be replaced if a leader exhibits

3:32

true scale. That's interesting. So

3:35

they're basically saying if you don't

3:36

have manufacturing, you don't have a

3:38

moat to protect yourself as a robo taxi

3:42

vehicle. Very interesting. They also

3:45

talk about how Tesla's vehicle costs

3:48

about 17th that of the price of a Whimo,

3:53

which is somewhat an ode I feel like to

3:56

what Elon Musk said when he said, "Ah,

3:58

Whimos, they cost Whimo."

4:03

There's also this uh talk about

4:05

robotics. Humanoid robotics hold the key

4:08

to a manufacturing future. They uh in

4:12

here say the robots are coming,

4:15

especially in manufacturing and that

4:18

human robotics are the only solution to

4:20

being able to manufacture more because

4:22

companies simply can't hire enough

4:24

people at an affordable level. So in

4:27

other words, you want to revive US

4:29

domestic manufacturing, maybe you need

4:32

the robots to do the work. The broader

4:34

picture doesn't scream worker shortage

4:36

and get me robots now except in

4:38

manufacturing. The BLS reported 381,000

4:42

unfilled manufacturing jobs in April. Uh

4:46

that's a lot. Uh with some reports

4:49

quoting 450,000 vacancies in

4:52

manufacturing. So in a weird way,

4:56

even though we talk about job vacancies

4:58

declining in manufacturing, you have

5:00

this wide opening of available jobs for

5:03

people. So you want a job, you know, go

5:05

into manufacturing, but then again, who

5:07

wants to work in manufacturing?

5:09

Looking at those unfilled factory

5:11

positions, it's hard to turn that one

5:13

around. solution is robots

5:18

uh AI and robots combined to get

5:22

manufacturing plans to fill those

5:24

vacancies required with robots. Uh this

5:28

uh sets the stage for a Tesla Optimus

5:31

push, especially with Tesla being one of

5:33

the front runners in humanoid robotics

5:35

in addition to like Figure or Anthropic

5:37

or others. And then of course the

5:39

Chinese have plenty a bunch of robots

5:41

too with Amazon talking about

5:42

potentially uh using humanoid robotics

5:46

to partner with human drivers which is

5:48

kind of wild that we'd have humanoid

5:50

robotics delivery packages before we

5:52

have robo taxis at least broadly

5:54

self-driving cars. You've got uh you

5:56

know beyond FSD, right? Uh this idea

6:00

that you could buy a Chinese humanoid

6:02

robotic and have it basically deliver

6:04

boxes in a neighborhood at the same time

6:06

as the driver is delivering boxes. So,

6:08

you try to sort of double up your

6:10

delivery efforts here. Somewhat

6:12

interesting.

6:14

Uh, let's see here. We've got last week

6:17

Tesla filed a lawsuit against another

6:19

engineer about former um IP that was

6:22

stolen from the hand sensors. We covered

6:24

that story. Honestly, I mean, just

6:26

reading the Tesla complaint, it doesn't

6:28

look good for that person who stole the

6:30

stuff. I mean, Tesla seems to have all

6:31

the receipts to show when this

6:33

individual accessed sensitive Tesla

6:35

information.

6:37

uh also been tracking Agility Robotics

6:39

Digit. Bloomberg reported more than a

6:42

year ago that Amazon was piloting a 5'9

6:45

in humanoid in a Seattle warehouse,

6:47

picking bins off shelves and fing them

6:49

to conveyors.

6:50

That's separate from that Chinese robot.

6:53

the um CEO of that company said that

6:57

Digit is already working alongside

6:58

people at Amazon and logistics for dull

7:01

and repetitive tasks, tasks that most

7:04

humans seek to avoid and that it's not

7:07

science fiction and it's already

7:08

happening. It's pretty remarkable. And

7:11

again, that's one of the the advantages

7:13

that Tesla has. It's not so much the

7:16

robotic technology,

7:18

it's who can actually manufacture all

7:21

the robots. And I think that's one of

7:22

the reasons why we've seen Tesla perform

7:25

so well uh really over the last couple

7:28

years here in in their sort of recovery

7:30

coming out of the uh 2022 crash is

7:33

mostly because there's so much

7:35

enthusiasm around robotics and the

7:38

potential that uh Elon's legacy and

7:40

government was able to pave the way for

7:43

uh humanoid robots or uh self-driving uh

7:47

robo taxis with more broad adoption. So

7:50

it makes sense because Tesla not only

7:53

having the AI or the concepts, you know,

7:57

the actual servos to operate robotics or

8:00

whatever, they have manufacturing, which

8:02

unfortunately is terrible in high

8:04

interest rate environments selling to

8:06

consumers. Fortunately, a lot of

8:08

robotics, if we're going to fill

8:09

manufacturing jobs, don't need to be

8:11

sold to people, right? Like selling to

8:16

people

8:17

generally requires lower interest rates.

8:19

Look at the solar industry. Look at

8:21

Tesla stock during the highest of

8:22

interest rate environments. It's

8:24

challenging. But if you can potentially

8:26

open up a vertical of manufacturing for

8:28

the government like a military defense

8:30

contractor or you open the door to

8:34

manufacturing for,

8:36

you know, really rich corporations like

8:39

what we've seen with Google uh and Meta

8:42

and Microsoft buying from TSM, you know,

8:45

Nvidia chips and otherwise. Well, now

8:47

all of a sudden you're manufacturing for

8:48

a very rich cohort. And I would argue

8:51

that, you know, manufacturers in

8:53

America, especially if you combine

8:55

Donald Trump's full depreciation

8:57

benefits, you know, robots in a few

8:59

years could be very interesting because

9:01

you could buy a robot for 25K or

9:03

whatever, fully depreciate it year one

9:05

thanks to Donald Trump's, you know, big

9:07

beautiful bill and and capital

9:09

infrastructure um uh incentives. And and

9:13

now you look and go, okay, well, who's

9:14

actually making the robots? Well, you

9:15

can get a Chinese robot or you could get

9:17

a Tesla made robot. And then that's kind

9:20

of where, you know, price is really

9:22

going to be the war. Tesla's basically

9:24

the only US-based uh mass manufacturer

9:29

for for robots that we could tell at

9:30

this point. There are plenty of

9:31

prototypes, but beyond that, it's going

9:33

to be China. And so then the question

9:35

becomes, are we going to import Chinese

9:38

robots or are we going to prevent the

9:40

importation of Chinese robots like we

9:42

prevent the importation of Chinese cars?

9:44

I mean, if we are to say that, you know,

9:46

oh, companies will just buy Chinese

9:48

robots instead of US robots, well, then

9:50

why don't we all have Chinese cars?

9:52

Well, because we've been protecting our

9:53

US industry through protectionist

9:55

policies, and it's possible the same

9:56

thing could happen with Tesla. So, that

9:59

said, you know, I still think the

10:00

valuation is a little bit stretchy for

10:01

Tesla. We've thought this for a while.

10:03

you know, the manufacturing business is

10:04

maybe worth at the moment based on sales

10:07

today, you know, a buck 40 a share, 140

10:10

bucks or so. Uh, which gives you about

10:13

$190 of premium for that future

10:16

potential in manufacturing for robotics

10:19

along with obviously uh the the robo

10:22

taxi division. That said,

10:26

kind of a good point here from

10:27

Bloomberg. you know, you've got

10:29

optimistic data on safety. You've got

10:32

progress on robo taxi. Obviously, I

10:34

don't think it'll go as quickly as as uh

10:36

Elon pitches in terms of like broader

10:39

based robo taxi adoption, but but when

10:41

it comes, the one who could print robo

10:43

taxis would almost certainly be Tesla

10:45

over Whimo, unless they just pick up

10:47

leftover inventory from uh you know,

10:49

like Toyotaas or whatever and partner

10:50

with Toyota. Although, I actually feel

10:52

like I did hear about a Toyota

10:53

partnership between the two. That would

10:55

be interesting. Let me just double check

10:56

this. Toyota Whimo. Did they ever

11:00

Yeah. See, and that that makes a lot of

11:03

sense. Look at that. This just happened.

11:05

Oh, and I've been on this page before.

11:06

I've highlighted this. Whimo and Toyota

11:08

outline strategic partnership. So, to

11:10

me, this is a way of saying like Whimo

11:13

is realizing that Tesla is coming and

11:15

the advantage Tesla has is

11:16

manufacturing. Well, we already import a

11:19

lot of Toyotas. So, could Toyota be the

11:22

manufacturer for those robo taxis? And

11:24

then you wonder could someone like a TSM

11:28

basically you know Taiwan Semiconductors

11:31

could they get into manufacturing robots

11:33

to where it's not necessarily Chinese

11:35

companies but so like Chinese adjacent

11:37

right you know I I suppose if we're

11:40

talking about Taiwanese manufacturing

11:42

some OG Chinese would say that's also

11:45

Chinese manufacturing but then we get

11:47

into a whole geopolitical issue and we

11:50

don't need to go down that road. So, but

11:52

honestly, I mean, broadly bullish there

11:53

on Tesla. Uh, I will say again, I think

11:56

that I mean, you know this already. This

11:58

is old news. I think the market is a

12:00

little frothy right now. Uh, but um

12:03

let's take a look at Tesla's current

12:05

valuation where we sit. So, I want to

12:08

just see because these the estimates for

12:10

Tesla's growth have really been rising

12:13

uh over the past few I would say about

12:16

eight weeks or so. It seems like every

12:18

time I load up a financial analysis on

12:20

Tesla, the Wall Street forecast for

12:22

future earnings growth is just going up

12:24

and up and up. So, I think the last

12:26

analysis I did is we were at like 40

12:30

2% EPS growth. Current estimates are 508

12:35

plus 30.38.

12:38

Uh, there we go. I did that right. Okay.

12:40

30

12:43

Let me do this again. I'll just put it

12:44

down. 50.08 08 + 30.38 EPS growth plus

12:50

30.18 +

12:53

43.26 = / 4. Oh, interesting. They

12:58

actually got written down a little bit.

12:59

So now the average 4-year forward growth

13:01

is sitting at about 38.4.

13:04

And so 38.4 327 on the stock divided by

13:08

192 it's trading for 170 times divided

13:11

by 38.4. Dude, Tesla's trading for a 4.4

13:14

at 4 peg right now. I mean, that's

13:17

that's half as expensive as Palunteer,

13:20

and that's not anything to brag about

13:21

right now. So, definitely no panic in

13:24

the stock market valuation, that's for

13:25

sure. But uh very interesting to see the

13:28

sooths like the doomers at Bloomberg

13:31

actually writing such optimistic things

13:33

about Tesla over

13:36

uh you know Whimo and more of like the

13:38

the Google uh you know child uh that

13:43

Bloomberg I feel like usually likes to

13:45

prop up. Speaking of Google, by the way,

13:47

I did save this piece which I may as

13:49

well just quickly mention. Oh, there

13:51

goes my phone. Uh, Google search is

13:54

fading. The whole internet could go with

13:56

it. I thought this was very interesting.

13:58

Searches rapid decline. Growth rates for

14:03

US search traffic has been slowing

14:05

across various sectors. Oh, why thank

14:07

you. Uh, uh, for the past year, but the

14:11

decline accelerated in May across

14:14

sectors of the internet economy. This

14:16

has been one of my biggest concerns for

14:18

Google is that you know Google like AI

14:22

is basically replacing the need for for

14:25

Google search. I feel like this looks a

14:26

little bright but anyway uh what we have

14:28

are various different charts travel and

14:30

tourism falling off a cliff uh in May

14:34

down 20.2%. News and media down 17.1

14:38

e-commerce down 19.2 finance down 7.4

14:42

food and drink down 7.4 for lifestyle

14:45

and fashion down 4.6.

14:48

So, you know, it goes to show that, you

14:50

know, even though Google runs Whimo, it

14:53

doesn't necessarily mean they're going

14:54

to have the greatest staying power,

14:55

especially since, you know, what 56% of

14:57

their business is relying on search uh

15:00

revenues right now. So, like, in other

15:02

words, a decline or pain in search

15:04

revenues could actually potentially

15:06

limit their their funding capability for

15:08

even other projects. Maybe not. They've

15:10

got plenty of stock that they can

15:11

dilute, but uh roughly one in five

15:13

visits to the world's top internet sites

15:16

begin in search engines.

15:19

Uh okay.

15:21

Oh, that's interesting.

15:24

Uh for Trip Advisor, it's 58%.

15:28

And for Yelp, it's 51%. For Wikipedia,

15:32

it's 63%. Now, that's really interesting

15:35

because if people are searching in

15:36

Google less, Yelp could get smoked, Trip

15:40

Advisor could get smoked, and Wikipedia

15:42

could get smoked. I totally could see

15:45

that because if AI is just going to give

15:47

you the recommendations, you don't

15:49

necessarily need Yelp or Trip Adviser or

15:51

Wikipedia. That's interesting. That's

15:53

very interesting. AI search engines have

15:55

replaced about 10% of traditional search

15:58

so far. This is a Baron piece, by the

16:00

way. Google is pushing back by adding AI

16:02

powered summaries at the top. Uh, and

16:05

maybe that'll help or not because so far

16:08

the numbers keep going down. Uh, last

16:10

month, search referrals to the top US

16:12

travel and tourism sites tumbled 20%.

16:15

These are these charts are referrals to

16:17

to those industry websites. Uh, the

16:20

trend is clear. Search is drying up and

16:22

Google is no longer the clear-cut way to

16:24

drive audiences to websites. Business

16:26

Insider cut 21% of its staff citing

16:30

traffic drops outside of its control.

16:33

Reddit, social media site and source of

16:36

answers to many random questions gets

16:39

57% of its search, you know, referrals

16:43

from search, making deals with AI

16:47

critical.

16:48

Uh, that's interesting. Reddit could get

16:51

smoked by this. I I do see Reddit

16:53

results a lot for like random questions

16:55

in the Q in uh in Google. So I could see

16:58

that monthly US search traffic to

17:01

Schwab.com fell for the first time in at

17:03

least two years according to similar web

17:05

down 14%. A year ago, search referral

17:08

referrals to Schwab were up 179%.

17:11

Search to Netflix was down 23%. Although

17:14

how many people are actually searching

17:15

for Netflix on Google? Reddit has become

17:18

the battleground for the search's

17:20

future. stock is down 28% so far this

17:22

year as people worry about slowing user

17:24

growth to Reddit. I don't really like

17:27

Reddit. I like going on there and

17:28

trolling people in the real estate

17:30

section, but uh this is very interesting

17:32

and it kind of shows you that, you know,

17:34

Google as sort of a legacy operator

17:36

could have some headwinds that actually

17:38

might even in my opinion distract from

17:40

their Whimo business as they try not to

17:43

um essentially collapse or or see the

17:46

most the largest and most important

17:48

portion of their business collapse. So,

17:50

uh, cool piece by Barons, and I feel

17:52

like it kind of connects nicely to this,

17:55

uh, uh, Tesla Doomberg shilling. Anyway,

18:00

uh, if you found any of this helpful,

18:01

uh, make sure to get life insurance in

18:02

as little as 5 minutes because that

18:04

makes sense. Uh, it's a paid promotion

18:06

of the channel. It, uh, takes you less

18:08

than 5 minutes to sign up. You get life

18:09

insurance. You get a 1 million, 2

18:10

million, 3 million, 4 million, whatever

18:12

policy within 5 minutes. You can Apple

18:14

pay an Android pay for it. And, uh,

18:17

yeah, it's awesome. Go check it out. All

18:18

right. Oh, interesting. I don't have the

18:21

AI mode here, but I have it on this

18:23

other computer on a on a Windows

18:25

computer. I actually have there's a

18:26

button up here on Google search where I

18:28

could turn on AI mode. Uh, and it's

18:30

basically just an opportunity to chat

18:33

with, you know, the Google AI or

18:35

whatever. But, and then of course you

18:37

get this AI overview. So, you could, you

18:40

know, have this conversation in the AI

18:42

overview. I could go into AI o AI mode

18:45

or whatever. I think one of the problems

18:47

though with these AI overviews is not

18:49

that it's not good. I like them. I think

18:51

the AI overviews are good for Google.

18:53

But it's that if people aren't going to

18:55

this box anymore because this box

18:57

instead is Perplexity or GPT or Grock,

19:02

uh well well then you know your moat has

19:04

basically been reduced to that of a

19:06

commodity and and that's not good for

19:08

Google. Why not advertise these things

19:09

that you told us here? I feel like

19:11

nobody else knows about this. We'll

19:12

we'll try a little advertising and see

19:14

how it goes. Congratulations, man. You

19:15

have done so much. People love you.

19:17

People look up to you. Kevin Praath

19:19

there, financial analyst and YouTuber.

19:21

Meet Kevin. Always great to get your

19:22

take.

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