A Massive Black Swan DISASTER *JUST* Hit Markets | Crash.
FULL TRANSCRIPT
Well, the market had a heart attack
today and there are three reasons for
the heart attack. The first has to do
with a major black swan in private
credit, which is exactly what we talked
about yesterday that the Fed is trying
to solve. So, we got a black swan in
private credit. We got fake news maybe
on an Oracle delay that gave the market
a heart attack and then Oracle's like,
"No, that's fake news, bro." We'll talk
about that. and then
Fed. All three of these things are big
issues going on in the market right now
and you should know about all three of
them. So, let's break them all down one
by one. First, there's something that
you have to understand and it's a little
bit complicated, but I'm going to make
it as simple as possible. When a company
goes bankrupt, they take on something
known as debtor in possession financing.
It's called a DIP loan. Okay. Now, you
might be thinking, Kevin, like this this
seems so me like micro. Why do I care
about this? You're gonna see how this
relates to the Fed, how this relates to
the entire economy because what just
happened is a very rare black swan. This
is very bizarre. You don't see this
happen almost ever. And I'm going to
give you these facts.
A DIP loan is a debtor in possession
loan. Usually these loans are given to
bankrupt companies and and we usually
think like that sounds ironic like it
why would I lend money to a bankrupt
company? They're just going to screw me,
right? The way it works is you go hey
I'm going bankrupt. So companies come in
and they're like all right well it looks
like you have some assets. We'll get in
front of all of the other shareholders
and bond holders, all the other debt
holders. We'll help you get through
bankruptcy and we'll arrange financing
for you based on what you have left,
assuming we're in front of everybody
else. Usually, these loans sell for a
massive premium because they're
considered really good institutional
debt. Like, they're considered safe. May
maybe you shouldn't use the word safe,
but they're considered
safe. Okay. Now, take a look at this.
This gray line right here you're going
to see is the 100% value line for the
bonds. That means they were selling for
a premium, right? So, so the bonds were
selling for a premium. This is normal
for a dip loan. Okay. Well, what just
happened with First Brands on the day
that the Federal Reserve said we were
going to turn on the money printer? This
could be directly related to why the Fed
turned on the money printer. What
happened with First Brands? Look at
this.
Oopsies.
That 100% bond value collapsed 60%.
This is on a company that has 10 billion
in debt. This is not normal. It is not
normal to see this happen. Now, to
understand that it is not normal, I
think it's useful to look at research
from this company called ECGI.
ECGI put this paper together back in
2022 and they talk about DTOR and
possession financing and they literally
say that at first blush loans to
bankrupt companies may seem highly
risky. However, we show that all of the
545 DIP loan facilities raised between
22 to 2019 received full repayment on
principal and interest. Full repayment.
Moreover, evidence on repayment extends
the Moody's research, which suggests
that going back to 1988, there's only
been a there's only ever been one
bankruptcy or like failure on one of
these DIP loans, basically, which
suggests that repayment risk is no worse
than institutional grade or investment
grade loans. So, basically, DIP loans
are designed to overcolateralize and
inst like insulate risk, right?
But wait a minute, if these DIP loans
are so good, why all of a sudden are we
seeing a collapse of 60% on a DIP loan
in the private credit market? Now, two
things are possible here. One thing is
possible that maybe First Brands just
really sucks.
But look at this because this is really
sus.
The very company that goes in to say
that, "Oh, First Brands is a great
company. They just have a bad balance
sheet. You should support First Brands
in Private Credit." They're called
Marathon Asset Management. The same
company that said, "Oh, guys, it's a
great company. Don't worry." The same
company actually sold their entire stake
in the new money portion of the
bankruptcy loan at or above 105 cents on
the dollar and dumped it all right
before the collapse. So the same slime
bags that said, "Guys, everything is
fine. Join the dip party dumped right
here before the big dump."
Now, this sends two signals that either
Marathon is a scam or
First Brands is is just really, you
know, this was an oopsy dupy and First
Brands is really just worse than
everybody thought. But collectively, all
of this reiterates fear about private
credit stress. And remember what we
talked about with the Federal Reserve.
The Federal Reserve needs to print
money. Today is the day they start
running the money printer to try to
reduce some of the stress in private
credit markets because if they provide
funding for banks who are seeing money
leave the banks to go to the Treasury
General account because of tax
collections and the Fed is trying to
refill money at banks. What do banks do?
Banks lend to companies like Blackstone
or Black Rockck or these management
companies so they can go make these
risky loans. But the problem is even
they are bailing out on these private
credit loans to where what's considered
safe lending is becoming unsafe.
That's a black swan. And I think that's
why the Fed is turning on the money
printer because it is so incredibly rare
to see what is considered safe in
private credit flip on its head. And
this is exactly why people are nervous
about what's going on with this Oracle
nonsense and the Oracle rumor that
started circulating. So first of all, I
want to mention a couple things here.
This morning in our alpha report I said
that there is a rotation happening out
of hardware plays for artificial
intelligence and I specifically named
bearishness on Oracle, Corewave, Nvidia
and AMD and I said that we really need
to maintain the 79 line on Coreeave. We
briefly lost that line. Fortunately,
we've recovered that. Well, you'll find
that we are well lower than where we
were when I gave that warning to people
in the alpha report this morning. Even
after this little popup recovery on
Oracle saying the news that came out was
fake news, we're still lower. And you're
seeing that on NBIS, you're seeing it on
Nvidia, on AMD, you're seeing it on
AVGO. Like if you were in the alpha
report this morning and you listened to
me say there is a rotation out of
hardware be careful you would have been
out at Broadcom at 387 versus the 364
where it sits now.
So now Broadcom isn't necessarily a bad
company. I mean look at the balance
sheet for for or uh Broadcom. It's
actually phenomenal. You know Broadcom
has $30 billion in cash and receivables.
They have $18 billion of of bills. And
sure, they have 71 billion of long-term
debt, but this is a cash flow machine.
Like, this company not only generates
massive revenues in net income, you
know, their net income is fantastic. In
the quarter, they generated $8 billion
of net income, but they literally have
$30.8 billion of cash flow per year.
They could pay off all their debt in
like two years with this cash flow and
they're not spending a lot on capex. So,
some of this selloff is likely very
overblown. But why is it overblown? It's
overblown again because of private
credit concerns. Look, folks, Deutsche
Bank is telling you what could go wrong
in the investment bubble. Debt. Debt.
Debt. Debt. Debt. Debt. Debt. Debt. Now,
we're going to talk about debt and how
this relates to private credit. I want
to mention this is exactly why my real
estate startup has zero bank debt and we
do now have a deadline to invest. So, if
you want to invest in my real estate
startup, we are closing the fund raise.
I talked to the board. We decided that
now we are profitable so far Q4 through
December 12th profitable paying any, you
know, interest on our convertible bonds.
We don't have any bank debt, so there's
no interest to pay there. Depreciation,
like all of that included, our revenues
are greater than our expenses. We just
went profitable in Q4, which is great.
Uh, but we don't need to pay, we
believe, this 5% plus upside anymore.
And so, we're going to close that round.
Obviously, anybody who invests before
December 31st locks that in, you know,
real estate backed, invest with credit
card, a wire, no fees. Obviously, I
encourage you a and wire. I don't think
people should take on debt to invest.
Read the offering circular. There's risk
with every investment, but the board
decided we're going to close this
because we're dropping our artificial
intelligence software this month. Uh the
revenues we're already seeing from our
artificial intelligence pre-sale are
really good. Like people are buying this
and the sales are great. And we're like,
we're going to end this this fundraising
round and get a new valuation and and
raise at a higher valuation maybe in the
future. But anyway, you can check that
out. But the point is debt kills
companies in a recession. Debt kills
growth. And it's not that people are
really worried that Broadcom has a lot
of debt because again in two years of
cash flow they can pay off their debt.
It's the fact that the entire industry
is backed by debt right now. In fact, I
want you to see this. There is literally
an information piece from the
information that reports that private
credit bankers are working overtime
right now to get debt allocations.
The information says bankers are working
overtime to find money for data centers.
Construction of data centers used to be
done primarily by big banks. However,
now the construction of data centers is
actually being supported by what's
called 42A private debt investments.
That's a problem. Blackstone is doing
this through their QTS fund. They just
raised $ 1.75 billion in November.
They're raising another 1.65 in August.
And Morgan Stanley predicted in July,
now this is a big deal, too. Morgan
Stanley predicted in July that private
credit would be responsible for $800
billion
of the $2.9 trillion in data center
investments. I want you to put this to
perspective for a moment.
27 out of every dollar that backs data
center debt is coming from private
credit. Do you see how this like links
together all of a sudden? So all of a
sudden you have this real risk that if
we have a black swan in private credit,
which you're literally seeing happening
at First Brands, well maybe maybe it's
unique, you know, maybe maybe First
Brands is just a fraud, but you
literally have this collapse of private
credit happening in a way that we just
don't see happening at First Brands. And
at the same time you see this private
credit collapse, you literally have
Morgan Stanley telling you that 27 cents
out of every dollar that funds data
centers is coming from private credit.
So like I'm trying to make it as simple
as possible because these institutions
like nobody's going to tell you this
stuff in a simple way and that's why I
think I exist to try to give people
perspective in a simple way and of
course shill my own stuff cuz that's my
job. Okay? I love house hack. I love my
startup. I love the stuff we sell.
Can you fault me? I feel like that's
entrepreneurship. But look at this.
Goldman Sachs writes this like really
nasty piece right here about how like
the sensitivity of global yields to
public debt has already started to
inflect higher. You don't even bother
reading this bulk. Like I I have trouble
understanding what they write here
because they speak in this jargon that's
just like can you please speak in
American. So I translated this to
freedom units and I wrote that in
English in freedom as government debt
goes up yields go up because investors
think they're getting diluted by the
government. They are by money printing.
This is true. This is a fact. The Fed is
printing $60 billion per month. Okay,
they're back to printing. And now look
at this. which increases the premiums
sought or demanded on bonds due to
inflation risks rising as well. That's
the third problem today. Schmidt,
Goulby, Hammock, all of them are are
complaining like little weeny babies
about inflation.
So that's the third problem today. More
on that in a bit. That makes debt harder
to get or less desirable because you
have to demand a higher premium which
increases the sensitivity of markets to
higher yields which means data centers
want more debt and then investors get
nervous because when you go over here
to Deutsche Bank, Deutsche Bank has this
giant piece on would the real AI bubble
please stand up and they actually make
it clear that a risk to uh this whole
data center boom isn't necessarily
Clearly this, you know, circular nature
of all this crap, you know, that's a
factor as well. But it's right here,
debt. Investment costs could spiral,
forcing companies into debt more so than
really ever before.
So this makes sense like this is all
logical and it also comes at the same
time that we are stepping up against
what what is really this you know this
is a log chart right here of the
progress that generative AI is making
and they call it a red flag and I
actually think that this is very
accurate. I think that GPT releases were
really a step change towards
encyclopedic AI not generative AI. I I
think that AI is really good at telling
you
uh data based on historic data. Like
yesterday I was looking at this historic
data on our investments like people
investing into house hack and it was
really interesting because we're getting
quote unquote more whale investors. Let
me see if I could find this. you could
and I asked Gemini and GPT to uh I like
take our data uh on investor amounts not
people's private information just like
the day they invested and uh and then
align it with um how should I put it uh
uh the day they invested oh and then the
size of their investment right and so
what they decided is they made a cut off
at $50,000 invest I'm trying to find the
darn thing oh there I found it uh They
separated uh they said anybody investing
more than 50k is a whale and anybody
investing more than uh or less than 50k
is is considered retail. And what they
said is at the beginning when we
launched our reggga
ah this is so blurry. Why is this so
chart so blurry? At the beginning when
we launched our reggga we had uh the
blue is more retail under 50k investors.
we were almost exclusively retail right
here. And what they're saying over here
is that we've had these like larger
checks come in relative to retail. And
uh you know the conclusions the AIs were
making on this sort of historic data
were like oh you know people with bigger
checks are like oh crap like you guys
are like on to something with this AI
and so you're getting substantially more
big checks. But they also said there
could also be a sign in there that you
know the smaller check folks are
struggling more in this economy and so
you're seeing a higher percentage of
richer people relative to the smaller
check. I don't I don't know. I thought
it was interesting. Who knows, right?
But when you align it with uh with what
I'm trying to say here with this sort of
hitting the wall, I personally think
that AI and this is where I was going
with this. era is really good at
analyzing patterns of the past but not
so good at generating future decisions.
This is why I don't think we have uh
such strong gen AI that that is prone to
hallucination and that's why I think on
forwardlooking stuff like artificial
general intelligence I think we're very
far away on that. The problem with that
is if it's true that we're going to hit
sort of this wall. I mean, if you look
at the data right here, if you look at
this step change up of what the GPT30
moment and 35 moment was on a
logarithmic scale, you know, we're not
making that much progress. That's a red
flag that Deutsche Bank is arguing. You
know, without getting too granular here,
right? And so that's the problem when 27
cents out of every dollar that's going
into data center expansion is driven by
private credit that's now hitting a
black swan at first brands. That's
really bad. The Fed is trying to bail
out private credit. At the same time as
you've got institutions going, "Yeah, AI
is great. We could do a lot of things
with this. Like we could do a lot to be
practical today with machine learning."
You know, like I think our real estate
AI is like it's pattern recognition.
It's it's machine learning that we
trained and we tuned to create real
productivity today. That's great. But if
people are investing as if we need data
centers for artificial general
intelligence, we're in a bubble, right?
Because I don't think we're getting to
artificial general intelligence. And if
it's supported by debt that is now
getting questioned, then that's a
problem. See here, Goldman says, "We're
also keeping NI a progress on or we're
keeping our eyes on AI progress and
doubts. AI related hardware shipments to
the US continue to increase. At the same
time, AI bubble concerns continue to
linger following Oracle's disappointing
uh earnings with investors now parsing
Broadcom's results. While we still
believe that we were are not yet in AI
bubble territory, we see the value in
regional and style diversification. I
think it's really smart to argue for
diversification right now. Like I I'm
not trying to say this to be like, "Oh,
please go diversify to house hack."
Like, that's not my point. My point is,
please, please, please, please, please.
Like, I'm I and I say it almost every
video. I'm mid-range. I'm like 5.6 or
5'8 or whatever on the Bear Bull scale.
The reason I'm not like go yolo margin.
Somebody in my live stream this morning,
they're like, Kevin, you know, there's a
dip. should I go yolo up on margin? And
like I was so disappointed that they
said that I sent out this tweet. I'm
like, let's put this into perspective.
You know, somebody's asking me to go
into margin here. Like when you zoom out
on the cues, like what the hell? No, no,
please, please, please, please, please,
please don't go into debt. Look at
what's going on with the 10 two. We are
we are like we just skyrocketed on the
10 two. Why are we skyrocketing on the
102? We're skyrocketing on the 10 two
because the two-year yield is staying
stable and the 10-year is going up. So,
we're bear steepening. What does that
mean? It means markets are saying, "Oh
crap." To save private credit, the Fed's
going to have to run the money printer
more, which means we have a greater risk
of more inflation, which means 10-year
yield premiums demanded up because you
have to compensate for potentially
higher inflation in the future because
the money printing they're doing now to
prop up the AI bubble because the Fed
realizes the only thing keeping this
economy alive right now is the AI
bubble. And if the AI bubble goes
because private credit support for this
market is going away, then you got
problems. So obviously today when Oracle
is like uh we're delaying data centers,
that was a rumor apparently. Oracle says
fake news, right? Oracle's like hey
we're delaying our open AI data center
from 2027 to 2028. Oracle tanked. You
know then it comes out that oh it's
actually just fake news. Is it though?
Is it fake news? I've I mean like don't
get me wrong, I love my Teslas, but I've
seen Elon Musk say, "Oh, that's fake
news to reporting plenty of times." Only
for it to be exactly what was actually
going on. And like I look at OpenAI and
call me jaded, but this is what I wrote.
Okay, the Oracle, this report says
Oracle has pushed back the completion
date for some models of data centers
it's developing for the artificial
intelligence model developer uh OpenAI
to 2028 from 2027. I wrote in response
to this, the delays are largely due to
labor and material shortages. By the
way, all of this is in the Meet Kevin
app by the way. Uh so like if you
download the Meet Kevin app, which is
totally free, you download the Meet
Kevin app, you could see this
you know, right here. So, you can kind
of see that data and you can kind of
like see where I get the stuff from and
my citations, my sources or whatever.
But anyway, so what did I write to this?
I go, what if this is a lie? The delays
are largely due to labor and material
shortages. What if that's a lie? What if
Oracle is delaying OpenAI data centers
because OpenAI's code red is real
despite what Altman says? And
ultimately, OpenAI is signaling that
their growth slowdown is coming. Like I
canceled my GPT subscription and I went
to Gemini a few months ago. Now what are
they doing? GPT is offering me 100% off.
You've got 100% off plus for a month. So
they're giving me 100% off to try to get
me to come back. And I'm like I don't I
don't know. You know this incredible.
That's incredible.
So uh then you know I saw these comments
from David Sachs. Now, sorry guys and
girls. Uh, I I am not going to read this
out loud, but this is what I call him.
David Saxs of I'm not going to read it
out loud. Somebody left me a comment
yesterday said, "Kevin, I try to watch
your videos with my family. You said a
bad word. I don't know if I could keep
watching." I'm like, "Okay, I won't say
poopy dupy words." So, so anyway, um,
David Saxs says, "More jobs are being
created than lost by AI." I think he's
smoking dope. Like I think he's smoking,
you know, some like deregulated cannabis
here. Like I don't know. He's on
something. I think he's he's delusional
to say that. Uh and then see China not
accepting H200s as they're an old
generation. I don't know if that's true.
I don't really have a comment here
maybe. Uh but I think this is convenient
shilling for Donald Trump and it's
likely untrue.
That's my opinion. Uh okay. So, like
when we put all of this together,
understand that Oracle CDS's just hit an
all-time high. The previous high was
12814 on 122 for Oracle. We briefly hit
the 120s during the chip recession of
2022 uh during that that Q4 time uh Q3
Q4 period. But we are now at the highest
CDS pricing, credit default swap pricing
for Oracle since 2008.
insane.
Uh, mind you, what I also think is
really cool about our machine learning
is our machine learning that we do with
our AI at house hack, you know, it's not
just some like crewappy rapper or
whatever. We don't actually rely on a
lot of server uh capacity because we can
we can analyze properties throughout the
nation once and then deliver that
analysis you know to people paying for
the service without rerunning the server
compute multiple times for each person.
So it's kind of like we have to run the
compute once and then we could feed the
answers through our SAS and just we're
like that keeps cost way down.
It's kind of clutch. Uh, sorry. I I I I
I get excited because I'm like, I see
the problems. Okay, the problems are in
debt, but that doesn't make all AI bad.
It's the problems are in private credit.
And so, this is why, you know, people
are concerned about the 102 rising and
debt because that's the only thing
propping this up right now. Uh, let's
look at some other institutional pieces
because this is bullish. Also, Goldman
Sachs actually sees an acceleration of
AI adoption supporting earnings per
share in 2026 and 27. This is bullish.
They forecast an S&P 500 growth of 12%
year-over-year in 2026.
Uh, and they think that 46% of that EPS
contribution is driven by Nvidia, Apple,
Microsoft, Google, Amazon, Broadcom, and
Meta. Now I personally am partial to um
uh the advertisers in this Meta, Google,
Netflix, you know Netflix calls their
advertising revenue insignificant. I
think that has a huge upshot and Meta
and Google are huge advertisers and I
think they all need to advertise their
products. You know I think uh there was
another piece about uh here was another
piece from Goldman about cyclical
sectors should see an acceleration next
year. They had real estate tied for
second next year for growth. That was
cool. Mostly, I think, because they see
the middle income people sort of like
actually getting back to real wage
growth next year, which I think is
supportive to rents going up. But
anyway,
uh they think that um productivity
baskets for AI come from banking,
insurance, retail, warehouse,
transportation, logistics, healthcare,
and restaurants. My favorite plays there
are things like but Palanteer's
valuation's too high. But I think rather
than picking banks or finance companies,
I like picking the companies that
support those companies. So a basket of
those would be like Palanteer,
Salesforce, UiPath. Uh those I'm excited
about. You know, one of those I think is
very cheap and is a very good
opportunity. Uh it's on our top 10
stocks to buy uh for the next 10 years
list in the alpha report. Uh remember
the alpha reports, that report I do
every morning where I'm like, "Hey, here
are the risks for the day." And uh you
get that at meet.com. And what a lot of
people are doing is they're buying the
membership uh which now includes the
Reinvest course cuz we just dropped
that. They're buying the membership with
the nine courses, the trade alerts, the
private live streams and everything.
They're buying this. Then they're using
the course member coupon to buy the
Reinvest AI. Not a solicitation. Read
the authoring circular before investing
in Reinvest. But anyway, um you know
what I thought was notably missing from
their list was the amount of
productivity potential for real estate
that you can get with AI. And I actually
think I'm ahead of a lot of the
institutions on that because I see how I
could turn AI into real productivity
uh in in in analyzing the net worth
potential boosts that you could get from
renovating real estate or acquiring real
estate and prioritizing deals and doing
that for agents as well. uh you know
automatic alerts from your agent on net
worth deals. I mean like agents would
love to pay for that and it's a tax
write off for them, right? So anyway, I
actually think I'm ahead of institutions
on that, but if you disagree with me,
that's okay. Look at these other
categories. That's what Goldman is at
least saying. But I also agree with
Goldman on that. Like that is where I
think EPS growth comes from. And that's
why I said in the alpha report this
morning that I think that you're seeing
a fade away from uh the chip sector uh
from hardware. I mean, what did I
specifically write in the alpha report
this morning? I said that Cororeweave
needs to hold up 7927
otherwise that's bearish. Uh and then as
far as uh I wrote quote I expect profit
taking in the physical chip exposure to
continue and then parenthetically I
wrote ago Eric uh Ericle Oracle AMD
Nvidia
and then I also pointed out the
amplification of the private credit
stress uh which is that first brand's
problem. So like there are issues. Some
of these things though, they're going to
create buy the dips in like the
downstream profit potential uh that you
could get from artificial intelligence.
So that's why I kind of maintain like as
long as the Fed's money printing can
kind of save the private credit problem,
you could plug this debt problem at
these data center places in place and
you can actually meaningfully recover.
So, we're really relying on the Fed to
bail us out right now because this first
brand stuff is bad. Very bad. Very bad.
Black swan. And that's Look at this. The
102 spread just shot up to 67. No, not
67. No.
No.
Oh, no. It's a sign. Okay. Historically,
why why does this matter? People ask me
like, "Kevin, why does historically this
matter?"
Okay, so historically the 102 matters
for the following reason. The 102 has
never ever gone into inversion uh and
and come out without a recession. So
understand that risk, right? And and
this is why I said to course members
this morning, companies like Carvana and
SoFi are actually or or even like
companies that don't have revenue like
um Archer Aviation have a very unique
recession risk because they don't have
cash flows to sustain the business. Like
you know we went we just went Q4
profitable. This is great because like
with house this applies to all
companies. Use this as a lesson for all
companies but like we've got 9 mil in
the bank. We got, you know, what 80 70
80 million of paid off real estate with
no bank debt. Uh we've got uh cash flow
to support our operations. Like that's
what you want. But like SoFi, for
example, I love SoFi, don't get me
wrong. I'm a member of SoFi, but they
rely on selling their stock to generate
loans. A company like Archer Aviation
relies on selling their stock because
they have no revenue. They're
pre-revenue. Carvana relies on insiders
selling the stock to buy the debt that
Carvana generates when they sell cars.
So you're kind of like creating this
cyclical, you know, debt infused stock
reliant
like process there. All of that
collapses in a recession, right? So you
want to be recession resilient. So
ironically, that's actually why I mean
like Broadcom with these these margins,
dude, they are recession resilient.
They're selling at a discount. Uh so is
Oracle. Oracle's got a lot of debt
though. I get it. I get why their CDS's
are going up, but uh you know these
companies,
their stocks can tank because of these
debt fears because the cycle might not
continue. Uh and then you have to write
down growth rates and then all of a
sudden their valuations look expensive.
That's I think why Nvidia is selling for
a discount. Why is Nvidia selling for
you know a 40% discount on their peg?
they should be worth $300 today. Well,
it's because the market goes if private
credit plumbing doesn't get solved that
future growth collapses. So, going back
to the 102, the historical significance
of the 102 is that we have never had an
inversion of the 102 yield curve and
then recovered without a recession. We
came close in 1995
and we went to shock level in in 1995.
You know, we went to about 0.55 on the
102 spread, but usually once we're
over.5, we're at shock level. And then
all it takes is a straw to break the
camel's back. So why is the 102 at 67
today? Well, because you just had a
black swan in private credit, which is
the very thing supporting
these data center buildouts, which is
the very thing supporting the whole
cycle of this this chip euphoria. I mean
again look at Deutsche Bank's piece on
the cyclical investments of the AI
bubble right so they here say that you
know Deutsche Bank JP Morgan Goldman
Sachs all of them by the way agree that
the bubble is still ahead will the real
bubble please stand up okay all of them
look at they've got a robot blowing a
bubble here and they're like it's true
that you know we have a red flag that
we're at these high valuations uh and
that maybe we hit a wall in terms of how
good this AI actually is. All of it
comes down to debt. Where is the
cyclical this there? Like yes, all this
can keep going as long as private credit
gets plugged. I mean, look at this.
Let's just follow one of these. Okay,
Oracle. So, Oracle buys 800,000 Nvidia
GPUs
and buys 50,000 MI450 GPUs from um from
AMD. Okay. Oracle then purchases
uh 300 billion worth of compute. Oh,
sorry. Open AAI purchases compute from
OpenAI. Oh my gosh. OpenAI purchases
compute from Oracle. But OpenAI gets
investments from Nvidia and AMD. And
then OpenAI spends money
on compute from Oracle who's buying
these chips. Like the basic premise is
that it's all a big cycle. It's all a
big circle, right? And the better Open
AI does, the more uh uh the valuation of
OpenAI rises, which props up the stakes
that companies have taken in OpenAI for
Nvidia or whatever. That's why when you
hear Oracle saying, "Hey, you know,
there's a rumor that maybe our data
center expansion will slow at the same
time as people are freaking out about
private credit." Wait, is it because
of labor and material shortages, or is
this actually just a lie? and OpenAI's
code rev is true and their user growth
is stalling. So they're like, "Hey,
maybe we don't need that 2027 data
center. Maybe kick the can down the road
a little bit on that." And then because
of OpenAI's request, Oracle delays the
data center. And then that gets leaked
as OpenAI is delaying the data center
because of labor and material issues
because they would never want to say
that OpenAI delayed it because the whole
Sam Alman Ponzi will collapse.
So yeah, we're at like a a precipice of
of a pile of poopy dupy.
That's why there's so much nervousness
in the markets right now. And the Fed is
literally printing money to try to stop
this and prop this up. Now,
unfortunately, we just rejected 617 on
the cues. Not great.
Not great.
Somebody's Freudian slip. They're all
the same company at this point.
That's a good one. I mean, hey, you
know, like I don't blame you saying
that. Like, it does almost feel that
way, doesn't it? It's it's kind of wild.
It's absolutely wild right now. David
writes, "Excited to be invested in
house." Well, thank you for saying that.
Uh, private equity, private investments,
and credit are intertwined through
co-investments. Private equity vehicles
generally have a 5 to sevenyear runway
for funds, which means real pain could
be unrealized for years. Yeah. But but
it's not just the potential for, you
know, the bankruptcies down the road.
The the real problem is that you got to
keep getting new debt. It's not the old
debt that's the problem. It's we need
all the new debt to come in. That's the
problem, right? So, uh
I don't know. That's why that's why when
people are like, "Kevin, is now the time
to yolo on margin?" I go, "No,
don't do that." You know, I'd much
rather turn garbage to gold and uh, you
know, in take a little Ben Mal infusion
there. You know, here's a property we
just bought at a massive discount, for
example, and we will turn this massive
turd into something beautiful just like
we just did. Like we just scanned this
property two days ago, two or three days
ago. Uh and we just removed this
kitchen. I'm about to go film it and
I'll show you a video of it later. But
we're going to And then we just leased
this property out which we just
transformed. Uh you can see new kitchen,
beautiful cabinets, lazy susans,
beautiful backyard, blahy blahy blahy.
Look at our little candalabbras. How
nice. Uh but that's what we do, you
know. and then AI on top of it
obviously. So anyway, you want to learn
more about that, go to reinvest.co. Uh
we are ending the fund raise at the end
of the month. The board decided that I
called him up. We have a board meeting
next week, but I actually I thought it
was prudent to call them up and go, "We
need to decide on this now." And so I
put all the uh you know, I put I I pled
my case to our board members and they're
like, "Kevin, you should end it. End it
December 31st." So that's what we're
doing.
All right, folks. Appreciate y'all being
here. Seriously, good luck out there. I
love y'all. And uh no matter what
happens, always remember that your boy
Meet Kevin's here with you. And we'll
make money together and we'll lose money
together. But I'll be reporting on
everything together with you. We'll see
you.
I'll call them.
>> I think that Kevin's a a brilliant guy
and I think that we'd we'd we' we'd all
be very lucky.
>> He's very talented, but I don't know
it's going to be him, but he's a very
talented guy. Kevin is much more
interested than most people, by the way,
in the balance.
>> Why not advertise these things that you
told us here? I feel like nobody else
knows about this. We'll we'll try a
little advertising and see how it goes.
>> Congratulations, man. You have done so
much. People love you. People look up to
you. Kevin Praath there, financial
analyst and YouTuber. Meet Kevin. Always
great to get your take.
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