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Welcome back everyone. 
Today on the Joseph Carlson 

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Show, Salesforce has reached an 
all new high, trading up to $338

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per share. 
Now Salesforce was undervalued a

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couple months ago. 
It's something that I've been 

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talking about for some time. 
So the stock could be just 

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moving up because a pure 
valuation means, but it seems 

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like there's more to the story. 
Just a couple days ago, 

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Salesforce announced that 
they're hiring 1000 new 

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salespeople to sell one product,
one single product that Marc 

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Benioff has been talking about 
called Agentforce. 

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And again, they're hiring 1000 
people just to sell this one 

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thing. 
So what is Agent Force and why 

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is it making the stock go up 5% 
today? 

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We're going to be taking a look.
We also have news that Netflix 

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has surged past $800 per share. 
It's on its way to $1000, up 71%

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year to date. 
It's one of the best performing 

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companies in the market. 
And Netflix is the chameleon 

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stock. 
It's ever changing, ever 

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evolving. 
Management continually changes 

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what Netflix is doing from being
a pureplay streaming company 

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where you can share passwords, 
the one where you can no longer 

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share passwords because they 
implemented a password crackdown

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to a company where they would 
never have advertising to. 

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Now they have a cheaper 
advertising tear. 

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And the next thing that this 
chameleon stock may be going 

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into and maybe a game changer 
for this company is live TV. 

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Now, we've seen little hints of 
this before, small live things, 

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but we're going to be taking a 
look at this new strategy for 

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Netflix and how it may change 
the company. 

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Now we also have news that 
crypto, specifically Bitcoin is 

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surged to $82,000. 
This has created a lot of FOMO 

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in the crypto markets. 
Lots of people chasing these 

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gains. 
I'll be going over why I'm never

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going to own crypto, why I don't
buy it. 

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And then we also finally have 
take two interactive CEO going 

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on ACNBC and giving perhaps the 
best explanation of what 

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artificial intelligence actually
is. 

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Needless to say we have a full 
episode, a ton of news to get 

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into. 
If you like all this type of 

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content, just make sure you 
subscribe to the channel, hit 

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the like button. 
Let's go ahead and get started 

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now we start off the day with 
news that sales for stock is 

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surging. 
It's reached a stock price of 

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$338 per share. 
It's up 5% today because of news

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that they're launching this new 
product and hiring 1000 new 

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salespeople. 
Now before we jump into today's 

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news, I just want to give a 
rewind of my ownership of this 

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company because it's been a bit 
of a interesting one. 

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It's gone through a little bit 
of drama. 

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If we look at my ownership of 
Salesforce, we can jump into the

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passive income portfolio. 
Salesforce is one of my larger 

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holdings in my main portfolio. 
So we have it right here in the 

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tech category and we look how 
this ones doing now. 

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It's a 70 around $74,000 
position with $13,500 in the 

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green. 
So it's a relatively big 

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position. 
I'm up around 25% on it, $13,000

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in the green. 
But that wasn't always the case.

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Just a few months ago this 
position was in the red. 

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So what happened with 
Salesforce? 

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Well, Salesforce is a company 
that I bought in my initial buy.

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I don't buy companies all at 
once. 

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I usually do a buy of like 1/2 
size position and then I see 

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what happens over the next 30 or
60 days. 

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The stock rockets up. 
I just keep it a half size 

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position. 
If the stock drops, I typically 

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add more to it. 
In this case, right after I 

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bought Salesforce, the stock 
dropped 16%. 

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So that's always an embarrassing
situation when I make a video 

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saying I think a company's 
undervalued. 

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I think it's a great company. 
I think they're going to do 

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really well. 
I buy a bunch of the stock and 

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then the stock price drops 16%. 
That's always an embarrassing 

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thing. 
I look silly after that, but in 

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this case I didn't think the 
drop was warranted. 

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Now if we look at a video 
rewinding 5 months ago, this is 

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a video precisely on the day of 
the 16% drop from Salesforce. 

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So let's go through my thoughts 
at that time where Salesforce 

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dropped down to a stock price of
$220.00. 

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So the stock. 
Is now down around 17%. 

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It's getting punished if you're 
new to the market and you have 

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added. 
I'll just freeze it right there.

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If we rewind, you can see right 
there in the video, Salesforce 

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is $226, down 16 1/2 percent. 
Again, the stock price today is 

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338. 
So it's come a long ways, but 

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this is my perspective at the 
time after a massive 

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disappointing result to this 
earnings after investors were 

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just tossing the stock. 
Aside, it's getting punished. 

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If you're new to the market and 
you have to add experience in 

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companies like this, this can be
a little startling. 

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It can be a little frightening, 
like you're doing something 

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wrong. 
My opinion on this company and 

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these earnings is I feel no 
stress in the situation. 

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I thought that this was actually
pretty decent earnings. 

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I realize they have mixed 
guidance. 

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I don't think it's crazy the 
stock is selling off, but I'm 

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not concerned about this at all.
When I look at Salesforce, it's 

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pretty simple. 
I'm just going to be buying more

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of the stock, I really am. 
I'm going to be putting in a 

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small order tomorrow and I'll be
buying it throughout the week 

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next week. 
I just think Salesforce is a 

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winner. 
I really do this. 

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Doesn't change my mind. 
A single quarter of mixed 

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guidance does not change my 
thesis overall on the company. 

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Salesforce is a highly 
profitable dominant enterprise 

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cloud business in five different
business segments. 

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Now, again, now it's during a 
time period where investors were

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very bearish on Salesforce, 
sentiment was negative. 

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But that video showed that you 
can separate your sentiment from

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the rest of the markets, but you
don't have to follow the pack 

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and become gloomy when other 
investors are selling out of a 

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company. 
The reality of the situation is 

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during that time period where 
Salesforce sold down 17% after 

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this earnings report, Salesforce
stock was fine. 

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The numbers were fantastic. 
In fact, Salesforce during this 

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quarter, this very quarter 
posted record high free cash 

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flow. 
Investors are overall emotional.

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They're overall driven by 
narrative. 

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This is why it's important to 
follow the fundamentals of a 

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company. 
Investing back into the company 

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during this drop of course, 
lowered my cost basis on the 

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stock and made it so that the 
subsequent recovery made me more

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gains in the process. 
In a way, I would have made less

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money on Salesforce if the stock
went directly up then had it 

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fallen and I bought more during 
the dip. 

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And This is why volatility, if 
used correctly, often leads to 

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better returns, not worse. 
That decision to focus on the 

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fundamentals and buy more 
Salesforce during that sell off 

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is what turned this position 
from a $4000 loss to a $13,500 

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gain. 
Salesforce has always had the 

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catalyst of a low valuation. 
In fact, it's always been 

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cheaper than almost every other 
enterprise application software 

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company. 
In fact, I think it's cheaper 

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than literally all of them. 
There's a video where I went 

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over highlighting that all these
companies, ServiceNow, Palantir,

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Microsoft, Adobe, DocuSign, so 
on and so forth, are more 

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expensive than Salesforce. 
So this company has always been 

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discounted to some extent. 
And the reason for this 

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discounting has been because of 
one reason Salesforce has been 

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unable to sell the narrative 
that they are an AI company. 

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Now Salesforce is surging 
because investors finally might 

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be coming on board that 
Salesforce is possibly 

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potentially an AI play. 
And that is because Salesforce 

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is apparently hiring 1000 
additional employees to just 

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sell an AI product. 
For a company the size of 

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Salesforce, that is a lot of 
employees. 

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To put that in perspective, a 
company that's an AI company 

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that's often compared to 
Salesforce is Palantir. 

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Palantir's total number of 
employees is around 33137 

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hundred in this case. 
So Palantir has under 4000 

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employees total for the entire 
corporation. 

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So you can see that put in 
perspective here, Salesforce is 

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hiring 1000 people just to sell 
this single product, this one AI

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product called Agentforce. 
But that also raises a question,

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what is Agentforce? 
Part of the difficulty of 

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investing in a company like 
Salesforce is figuring out what 

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the company actually does. 
In the case of Salesforce, 

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generally it's ACRMA, customer 
relationship management tool, 

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which basically just manages 
overall your customer 

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relationships, the billing, the 
acquisition of customers, 

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customer support and so on. 
So that in and of itself is not 

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too complex. 
Salesforce is the dominant 

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player in that sphere. 
They have some competitors, but 

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they're by far the biggest. 
But Agentforce is something 

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different, something newer, and 
something apparently AI. 

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Now, when I looked at different 
descriptions of what Agentforce 

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actually is, there's some hair 
that are a little bit 

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descriptive. 
For example, we have the CEO 

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Marc Benioff explaining on a 
podcast what Agent Force 

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actually does. 
Listen to his explanation. 

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Releasing Agent Force and we are
getting ready to transform all 

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of these incredible Trail 
Blazers we have all over the 

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world into being Agent Blazers. 
And that idea that we've taken 

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the community into the cloud, 
into social, into mobile, into 

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AI with Einstein, into data, 
with data cloud, with analytics,

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with Tableau, and with 
collaboration with Slack. 

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But now we're taking them into a
whole new world, which is 

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building an agentic layer for 
their companies. 

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And that idea of an agentic 
layer, a layer where agents are 

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doing, acting, taking actions, 
reasoning, operating on your 

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behalf, this is a very new 
component of computer science. 

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Did you get all that? 
Neither did I. 

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It's difficult to understand 
what these tools actually do 

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when the CEO talks in such vague
terms. 

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But Marc Benioff, again, is a 
salesperson. 

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He's trying to talk in very 
glowing terms about his tool 

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rather than descriptive 
applications of the product. 

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When we look at what this new 
product actually does, this 

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video I believe gives the best 
description. 

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Every company has more jobs to 
be done than resources available

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to do those jobs. 
An agent force helps you build 

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and customize autonomous AI 
agents to help with those jobs. 

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Like an AI service agent that 
deflects incoming support cases 

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by responding intuitively and 
conversationally to resolve 

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customer inquiries that a chat 
bot never could. 

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Or an AI sales development agent
that proactively works leads by 

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contacting customers, responding
to their questions, and 

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scheduling meetings. 
So one of them is a basically 

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like a chat bot but enhanced 
with AI. 

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But it's interesting they 
highlight another one here that 

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proactively goes after leads, 
the salespeople that Salesforce 

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are hiring to sell Agentforce. 
They're selling a product that 

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in a way replaces salespeople. 
An interesting conundrum where 

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they're hiring salespeople to 
sell something that makes it so 

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you need less salespeople. 
We see that going on with these 

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companies right now. 
This one is is literally the 

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application here is Salesforce 
Agentforce will go after your 

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leads and start going through 
the funnel and working the 

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funnel. 
Needs by contacting customers, 

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responding to their questions 
and scheduling meetings, or an 

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AI sales coach agent trained on 
your best practices that attends

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calls with your new sales reps 
and provides helpful real time 

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tips and objection handling. 
These are just a few of the 

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standard agents included with 
Agentforce, but you can also 

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create your own custom AI 
agents, which you'll do by 

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describing a natural language, 
the jobs you want those agents 

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to do, and then equipping those 
agents to do those jobs with the

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workflows and actions you've 
already built in Salesforce. 

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Your agents will then work 
inside the guardrails you've 

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established to do these jobs, 
reasoning intuitively to respond

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reliably to complex request. 
So here you can build new agents

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based on plain text 
descriptions, and it will look 

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at your overall CRM, which 
Salesforce already has all that 

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data. 
Because if you're using 

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Salesforce, you're going to have
all your company's information 

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already in the CRM and it uses 
all of that context with your 

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description to carry out any 
task you want. 

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So it's like you can make many 
employees within your own system

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to do different tasks and you 
can give them different 

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guardrails. 
Now whether or not this makes 

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Salesforce an AI company or 
whether they're still a non AI 

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company at the end of the day 
doesn't really matter. 

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And this is something that 
investors often miss. 

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I've highlighted this over and 
over again. 

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Artificial intelligence in and 
of itself is not what generates 

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returns. 
Returns can be amplified by 

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00:12:07,360 --> 00:12:10,920
newer technologies, but at the 
end of the day, being able to 

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00:12:10,920 --> 00:12:14,600
get a return on your investment,
being able to generate real cash

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00:12:14,600 --> 00:12:17,440
flows, is what gives investors 
true returns. 

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00:12:17,680 --> 00:12:20,640
So it doesn't matter whether a 
company is Texas Roadhouse and 

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00:12:20,640 --> 00:12:23,880
they have nothing to do with AI,
they can still have amazing 

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00:12:23,880 --> 00:12:26,200
returns. 
Whether or not Salesforce is an 

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00:12:26,240 --> 00:12:30,200
AI company or not an AI company 
is not my primary concern here. 

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00:12:30,680 --> 00:12:34,000
The concern is that Salesforce 
can make money from this tool. 

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00:12:34,080 --> 00:12:35,920
The reason that I believe 
Salesforce is going to make a 

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00:12:35,920 --> 00:12:38,520
bunch of money from this is 
because they already maintain 

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00:12:38,520 --> 00:12:42,080
the dominant market position in 
the CRM category. 

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They have well in excess of 
150,000 businesses using their 

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product. 
So these thousand new 

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00:12:47,800 --> 00:12:50,600
salespeople are already going to
have a huge existing customer 

250
00:12:50,600 --> 00:12:52,760
pool to sell to. 
And I think that's going to make

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00:12:52,760 --> 00:12:55,800
the job a lot easier than cold 
calling different businesses. 

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So ultimately, time will tell if
Agentforce becomes a successful 

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00:12:59,200 --> 00:13:01,880
tool for Salesforce. 
But if I had to guess right now,

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I think they're going to make a 
lot of money with it. 

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00:13:03,560 --> 00:13:07,040
Now moving on, we have news that
Netflix surpassed $800 per 

256
00:13:07,040 --> 00:13:08,880
share. 
This, of course, has been one of

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00:13:08,880 --> 00:13:10,800
the core holdings in My 
Portfolio. 

258
00:13:11,120 --> 00:13:12,800
It's really carried a lot of 
weight. 

259
00:13:12,840 --> 00:13:15,200
This one has done the heavy 
lifting in this portfolio. 

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00:13:15,520 --> 00:13:18,920
Now it's an $85,000 position. 
It's done really well. 

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00:13:18,920 --> 00:13:21,360
I'm really proud of Netflix. 
It's one that I'm really glad 

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00:13:21,360 --> 00:13:23,560
that I decided to double down on
and hang in there with. 

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00:13:23,920 --> 00:13:27,400
But Netflix is a company that 
overall I would describe as the 

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00:13:27,400 --> 00:13:30,480
chameleon, and it's been 
described that way many times, I

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00:13:30,480 --> 00:13:33,560
think accurately. 
So because Netflix evolves, they

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00:13:33,560 --> 00:13:35,720
change over time. 
They change their strategy. 

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00:13:35,720 --> 00:13:38,680
They evolve from renting DVDs to
doing online streaming. 

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00:13:38,920 --> 00:13:41,520
They evolve from just licensing 
other people's content to 

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00:13:41,520 --> 00:13:44,600
original content. 
They evolved from just doing a 

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00:13:44,640 --> 00:13:48,800
subscription only sharing plan 
to just a no sharing plan. 

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00:13:49,120 --> 00:13:51,840
They evolved from doing no 
advertising to now having an ad 

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00:13:51,840 --> 00:13:53,960
tear. 
And the next evolution in 

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00:13:53,960 --> 00:13:57,560
Netflix may be live TV. 
Netflix, home of the binge 

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00:13:57,560 --> 00:13:59,000
watch. 
Try something new. 

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00:13:59,000 --> 00:14:01,320
Live TV Now. 
They note that a lot of people 

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00:14:01,320 --> 00:14:04,120
aren't quite used to this. 
The presence of live programming

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00:14:04,120 --> 00:14:07,160
at Netflix is still a bit 
strange and disorienting, even 

278
00:14:07,160 --> 00:14:10,280
for the people who work there. 
After all, the company created 

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00:14:10,280 --> 00:14:13,000
its streaming service as an 
alternative to live TV. 

280
00:14:13,280 --> 00:14:16,680
While cable asks viewers to show
up at a certain time and place, 

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00:14:16,920 --> 00:14:19,760
Netflix allows customers to 
watch what they want, when they 

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00:14:19,760 --> 00:14:22,200
want, and without obligatory 
advertising. 

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00:14:22,240 --> 00:14:24,480
But they note that there's a 
specific reason why Netflix 

284
00:14:24,480 --> 00:14:26,280
might be pushing into live 
programming. 

285
00:14:26,520 --> 00:14:30,520
Live programming is particularly
complementary to advertising. 

286
00:14:30,960 --> 00:14:34,120
So as they're trying to grow 
their ad tear that only has like

287
00:14:34,120 --> 00:14:37,640
40 million users, they also want
to grow out their live 

288
00:14:37,640 --> 00:14:39,920
programming to complement that 
ad tear. 

289
00:14:39,920 --> 00:14:42,360
So basically what Netflix has 
been doing for the past two 

290
00:14:42,360 --> 00:14:45,520
years is perfecting their live 
streaming technology. 

291
00:14:45,680 --> 00:14:48,160
And they're kind of doing this 
secretly in the background. 

292
00:14:48,440 --> 00:14:52,000
They're doing small live tests 
with small shows that don't 

293
00:14:52,000 --> 00:14:55,400
really have big consequences if 
there's problems just as tests. 

294
00:14:55,400 --> 00:14:58,120
And they're even testing big 
events happening, like big 

295
00:14:58,120 --> 00:15:00,360
adverse events. 
For example, during the live 

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00:15:00,360 --> 00:15:03,360
taping of Gad and Khalif, 
Netflix intentionally shut off 

297
00:15:03,360 --> 00:15:06,800
its servers on the West Coast to
replicate a system failure. 

298
00:15:07,080 --> 00:15:10,000
And they said the transfer to 
the East Coast was seamless. 

299
00:15:10,080 --> 00:15:13,040
Once they get this tested and 
they get it perfect, then they 

300
00:15:13,040 --> 00:15:16,280
feel more comfortable doing the 
events like the Jake Paul Mike 

301
00:15:16,280 --> 00:15:19,800
Tyson fight or the WWE. 
That's going to be every single 

302
00:15:19,800 --> 00:15:23,360
week coming in 2025. 
This is another move, another 

303
00:15:23,360 --> 00:15:26,240
directional move that I think 
will benefit the Netflix 

304
00:15:26,240 --> 00:15:28,400
customer. 
They'll create more value, more 

305
00:15:28,400 --> 00:15:32,000
pricing power for Netflix and a 
broad swath of customers to 

306
00:15:32,000 --> 00:15:33,680
begin with. 
They're still going to have 

307
00:15:33,680 --> 00:15:37,080
their huge on demand library, 
but now they're sprinkling in 

308
00:15:37,080 --> 00:15:39,840
these fun live events every so 
often. 

309
00:15:39,880 --> 00:15:42,400
And I think the more that they 
can do this, the more successful

310
00:15:42,400 --> 00:15:45,640
the company will be. 
Netflix is headed towards $1000.

311
00:15:45,640 --> 00:15:47,000
It's going to get there 
eventually. 

312
00:15:47,240 --> 00:15:50,040
It's just a matter of time. 
Now moving on, we have news that

313
00:15:50,040 --> 00:15:53,320
crypto markets are doing well. 
Bitcoin is surging. 

314
00:15:53,320 --> 00:15:57,920
It's now at 85,000, almost 
$86,000 for a single Bitcoin. 

315
00:15:58,400 --> 00:16:00,040
And a lot of people point this 
out. 

316
00:16:00,040 --> 00:16:02,360
They go, Joseph, have you 
noticed crypto? 

317
00:16:02,360 --> 00:16:03,920
Have you noticed Bitcoins going 
up? 

318
00:16:04,560 --> 00:16:06,000
And in most cases, I just ignore
it. 

319
00:16:06,160 --> 00:16:08,720
It's not something that I'm 
really that interested in. 

320
00:16:08,720 --> 00:16:10,520
It's not something I do analysis
on. 

321
00:16:10,800 --> 00:16:13,800
It's not something that I really
commentate on all that often. 

322
00:16:14,320 --> 00:16:17,400
And the main reason why if I'm 
looking at any type of Bitcoin 

323
00:16:17,560 --> 00:16:21,120
crypto, any type of asset like 
this, I don't have anything 

324
00:16:21,120 --> 00:16:23,280
against them. 
I have no ill will for them. 

325
00:16:23,280 --> 00:16:26,960
I don't really care if they go 
up or down in value, but it goes

326
00:16:26,960 --> 00:16:29,960
against my investing philosophy 
of where I put money to generate

327
00:16:29,960 --> 00:16:32,480
wealth. 
What I do with My Portfolio is I

328
00:16:32,480 --> 00:16:37,280
invest in assets where I would 
make money even if other 

329
00:16:37,280 --> 00:16:39,040
investors never invested in 
them. 

330
00:16:39,480 --> 00:16:41,880
Meaning that they're things that
in and of themselves have 

331
00:16:41,880 --> 00:16:45,360
intrinsic value, that the thing 
that I'm buying in and of itself

332
00:16:45,440 --> 00:16:48,600
has intrinsic worth. 
Now, when we look at crypto or 

333
00:16:48,600 --> 00:16:52,120
Bitcoin, the value that you're 
getting is derived off of what 

334
00:16:52,120 --> 00:16:53,720
other people are willing to pay 
for it. 

335
00:16:54,280 --> 00:16:58,800
So the reason that it's at 
$85,800 is a lot of people are 

336
00:16:58,800 --> 00:17:02,240
trying to buy the same thing. 
There's not a lot of supply and 

337
00:17:02,240 --> 00:17:03,840
there's a lot of demand for the 
same thing. 

338
00:17:04,160 --> 00:17:07,400
With stocks, it's different. 
Of course, stocks can go up. 

339
00:17:07,400 --> 00:17:09,800
If a lot of people try to buy 
the same stock, they can push 

340
00:17:09,800 --> 00:17:13,040
the price up. 
But if a stock goes down far 

341
00:17:13,040 --> 00:17:16,160
enough and it generates cash 
flow, it doesn't really matter 

342
00:17:16,160 --> 00:17:18,160
if other people buy the stock or
not. 

343
00:17:18,400 --> 00:17:21,079
It has an intrinsic value floor 
of what it's actually worth. 

344
00:17:21,560 --> 00:17:24,960
For example, if everybody was to
hypothetically sell out of a 

345
00:17:24,960 --> 00:17:29,320
company like Salesforce or like 
Netflix, if every single person 

346
00:17:29,320 --> 00:17:33,120
sold out of it and I was the 
sole owner of it, I'd be super 

347
00:17:33,120 --> 00:17:35,680
wealthy. 
I'd have $5 billion or $7 

348
00:17:35,680 --> 00:17:38,800
billion of cash flow every year 
that I could extract out of 

349
00:17:38,800 --> 00:17:41,320
those companies. 
Being the sole owner makes me 

350
00:17:41,320 --> 00:17:44,000
wealthier. 
In those cases, having less 

351
00:17:44,000 --> 00:17:45,560
ownership, it makes me less 
wealthy. 

352
00:17:45,560 --> 00:17:48,560
If you compare that to Bitcoin, 
if everyone else sold you all of

353
00:17:48,560 --> 00:17:52,280
their Bitcoin, if they sold 100%
of theirs and you owned all the 

354
00:17:52,280 --> 00:17:56,280
Bitcoin in the world, 100% of 
it, it wouldn't really be worth 

355
00:17:56,280 --> 00:17:58,920
anything. 
The value in and of itself is 

356
00:17:58,920 --> 00:18:02,200
derived by the fact that other 
people own it and are willing to

357
00:18:02,200 --> 00:18:04,600
buy it. 
That's what creates the value. 

358
00:18:04,600 --> 00:18:07,720
With Bitcoin, I don't like 
owning assets where the sole 

359
00:18:07,720 --> 00:18:11,240
value of it is derived on what 
other people are willing to pay.

360
00:18:11,560 --> 00:18:14,600
With stocks, the sole value of 
them are not derived on what 

361
00:18:14,600 --> 00:18:17,800
other people are willing to pay.
That can cause temporary price 

362
00:18:17,840 --> 00:18:21,240
fluctuations, but the cash flows
determine the true value of the 

363
00:18:21,240 --> 00:18:23,720
stock. 
So I invest in assets that have 

364
00:18:23,720 --> 00:18:26,240
intrinsic value derived by cash 
flows. 

365
00:18:26,600 --> 00:18:29,400
I don't invest in Bitcoin, I 
don't invest in gold. 

366
00:18:29,720 --> 00:18:32,960
I don't invest in any type of 
speculative asset like paintings

367
00:18:32,960 --> 00:18:35,520
or anything. 
We have to resell it to gain 

368
00:18:35,520 --> 00:18:37,520
value. 
I invest in productive companies

369
00:18:37,520 --> 00:18:40,080
that grow their cash flows and 
they can return those cash flows

370
00:18:40,080 --> 00:18:41,680
back to shareholders. 
Now moving on. 

371
00:18:41,680 --> 00:18:44,400
Finally, we get to the news that
one of the companies that's best

372
00:18:44,400 --> 00:18:47,120
position to take advantage of 
artificial intelligence, of 

373
00:18:47,120 --> 00:18:49,800
course, gaming companies. 
One of the companies that has 

374
00:18:49,800 --> 00:18:53,800
the most anticipated game of the
past decade is Take Two 

375
00:18:53,800 --> 00:18:56,440
Interactive, which is the 
creators of Grand Theft Auto 

376
00:18:56,760 --> 00:18:59,000
Grand Theft Auto 6 is coming out
next year. 

377
00:18:59,080 --> 00:19:03,640
Now the CEO of Take Two 
Interactive went on the CNBC and

378
00:19:03,640 --> 00:19:06,000
although I think he has some 
interesting thoughts overall in 

379
00:19:06,000 --> 00:19:08,320
the company, the biggest thing 
that stuck out during this 

380
00:19:08,320 --> 00:19:11,520
interview is his assessment of 
what artificial intelligence 

381
00:19:11,560 --> 00:19:15,200
actually is and what it's not. 
Here's his thoughts on AI. 

382
00:19:15,800 --> 00:19:18,240
In terms of AI, look, the 
interactive entertainment 

383
00:19:18,240 --> 00:19:21,640
business has been in AI forever.
And let me just remind you, AI 

384
00:19:21,640 --> 00:19:24,040
stands for artificial 
intelligence, which is an 

385
00:19:24,040 --> 00:19:25,880
oxymoron. 
There is no such thing. 

386
00:19:26,320 --> 00:19:29,280
It's just a description of a 
digital tool set, and that 

387
00:19:29,280 --> 00:19:33,400
digital tool set will affect 
every part of our lives in the 

388
00:19:33,400 --> 00:19:37,800
same way that when we got 
smartphones, they affected every

389
00:19:37,800 --> 00:19:40,480
part of our lives. 
So how does it affect us right 

390
00:19:40,480 --> 00:19:43,640
now with Take Two interactive 
games and what will it in, let's

391
00:19:43,640 --> 00:19:46,040
say 2-3 years? 
I would love to say that it's 

392
00:19:46,040 --> 00:19:48,720
going to make things cheaper, 
quicker, better or easier to 

393
00:19:48,720 --> 00:19:50,400
make hits. 
I don't think that's the case. 

394
00:19:50,440 --> 00:19:54,240
All of our tools do help us 
become more efficient and that's

395
00:19:54,240 --> 00:19:56,520
a part of our three-part 
strategy, creativity, 

396
00:19:56,520 --> 00:20:00,200
innovation, efficiency. 
That said, it'll be 

397
00:20:00,200 --> 00:20:01,880
commoditized. 
Everyone's going to have access 

398
00:20:01,880 --> 00:20:03,960
to the same tools. 
That is the history of tool 

399
00:20:03,960 --> 00:20:05,680
sets. 
What it means though, is our 

400
00:20:05,680 --> 00:20:09,600
creative people will be able to 
to do fewer mundane tasks and 

401
00:20:09,600 --> 00:20:11,720
turn their attention to the 
really creative tasks. 

402
00:20:11,720 --> 00:20:13,280
But they'll be the ones doing 
the creative. 

403
00:20:13,280 --> 00:20:14,920
Decisions on this? 
Absolutely. 

404
00:20:14,920 --> 00:20:17,600
You know the machines can't make
the creative decisions for you. 

405
00:20:17,760 --> 00:20:20,000
It seems like he's throwing a 
little bit of cold water there 

406
00:20:20,000 --> 00:20:22,840
on many of the things said about
artificial intelligence, but I 

407
00:20:22,840 --> 00:20:25,440
think he's right. 
He says that it overall is a 

408
00:20:25,440 --> 00:20:28,320
commodity, and I think that's 
going to be the case with AI. 

409
00:20:28,640 --> 00:20:31,520
Most of the things that you can 
benefit from AI are going to be 

410
00:20:31,520 --> 00:20:33,680
commoditized. 
We've seen that with so many 

411
00:20:33,680 --> 00:20:36,800
different things from chat 
models and LLMS. 

412
00:20:36,800 --> 00:20:38,480
We've seen it with image 
generators. 

413
00:20:38,720 --> 00:20:40,640
We've seen it with things that 
can answer questions. 

414
00:20:41,160 --> 00:20:42,880
It's getting quickly 
commoditized. 

415
00:20:42,880 --> 00:20:45,640
The things that artificial 
intelligence do, you're finding 

416
00:20:45,640 --> 00:20:47,840
more and more examples of 
different companies doing it. 

417
00:20:48,240 --> 00:20:51,520
But he is correct in saying it's
taking away more mundane tasks 

418
00:20:51,640 --> 00:20:53,840
at different companies. 
They're simply going to be 

419
00:20:53,840 --> 00:20:56,720
iteratively more efficient. 
And if I had to think of a group

420
00:20:56,720 --> 00:21:00,120
of companies that likely aren't 
commodities with AII, think the 

421
00:21:00,120 --> 00:21:03,320
most difficult ones to replicate
are the ones that require heavy 

422
00:21:03,320 --> 00:21:05,600
CapEx. 
The companies like Amazon, 

423
00:21:05,600 --> 00:21:09,360
NVIDIA, companies like Google 
Cloud, and of course Microsoft. 

424
00:21:09,680 --> 00:21:13,200
The ones that are the big cloud 
hyperscalers are the most 

425
00:21:13,200 --> 00:21:16,160
difficult to replicate because 
it requires the most capital. 

426
00:21:16,480 --> 00:21:19,320
But other companies that are 
using different AI products to 

427
00:21:19,320 --> 00:21:22,200
enhance their customer 
experience, that can be easily 

428
00:21:22,200 --> 00:21:23,960
replicated. 
I think it gives a good nuanced 

429
00:21:23,960 --> 00:21:26,280
take on AI. 
That's it for this episode. 

430
00:21:26,280 --> 00:21:28,000
Hope you enjoyed. 
See you in the next one.

