The END Of AI & Chips [AI STOCK DANGER]
FULL TRANSCRIPT
uh basically Nvidia sells these h100
chips and they also sell these 8800s and
uh basically they sell these
watered-down versions of some of the
high powered technology chips some of
the best products they sell watered down
versions of that to China because the
chips act has banned the full powered
high-powered versions from actually
being sold to China Nvidia and AMD have
had to deal with this for over a year
now and uh companies like Nvidia and AMD
get somewhere around 20 to 25 percent of
their revenue from China problem is now
they can't sell their best chips to
China so China is incentivized to
manufacture their own best chips by
stealing as much proprietary data as
they can from companies like Nvidia or
even asml where they publicly have
stolen Advanced lithography
euv equipment data sets from and
instruction sets from for how to
manufacture these actual machines that
make the chip
so China is realizing all right well if
we're only going to get
the cheap stuff then let's just use the
cheap stuff until we can make our own
great stuff it's literally the same
thing even at asml itself asml is only
able to sell their duv lithography
equipment to China but not their euv
equipment which is for the most advanced
stuff
so China obviously doesn't like that and
again now they're trying to create their
own companies to manufacture this
equipment and then in the meantime while
they use this watered-down equipment the
Biden Administration has realized you
know what we may not even want China to
be able to buy the water down equipment
let's just ban everything all nearly
everything related to Advanced chips so
basically what they're doing is they're
going from just Banning the most
advanced chips to closing some loopholes
to Banning even more chips
media and AMD aren't very happy about
that stock wise at least in Market
reaction which is understandable because
this should be a hit to revenue
initially we thought okay Nvidia and AMD
got this solved they basically made a
chip with some safeguards on it that uh
now they can still sell to China well
now Biden and the Biden Administration
is suggesting nah
still too much for China
obviously uh that doesn't help with a
U.S Chinese relations which actually
seemed like they were thawing as of the
Biden administration's meeting with with
Chinese officials and just actually the
last few weeks it felt like there was
almost a reset of relations coming
between the United States and China yet
here we are with more aggression coming
uh and uh you know I I'm not here to
suggest everything should be perfect we
got to roll out the red carpet for China
obviously there are a lot of criticism
staff for China but it just seems like
the more of these tensions that we have
the more complicated the relationship
gets between the United States and China
and then we start talking about war with
Taiwan again which there's a lot of talk
about Taiwan potentially creating
election risks uh or post-election risks
for China invading Taiwan the argument
has been made that well hey look if
China ends up losing uh or their party
the party their backing ends up losing
in Taiwan but buckle up but really war
with Taiwan is a topic for a different
video but it just gives you a little bit
of a sense of how much of the tension
there really is between the United
States and China
and just as we thought it was cooling it
seems like the Biden Administration has
figured out how to reactivate some of
that pain now uh so we've got that in
the world of AI then we've got this snow
Nvidia partnership people keep asking me
about so let's touch on that quickly and
then after we touch on that I really
want to give you some of my personal
thoughts about is this whole AI craze
just hype and how should we really be
positioned around it so we'll talk about
exactly that okay so regarding the snow
in video partnership uh this has been
done before this isn't like something
super crazy and unique these
Partnerships have literally been done
before snowflake had virtually the same
partnership and I think a rough easy way
to think about it is when you look at
your calendar and you see an expiration
on June 30th you go to the link down
below like meet kevin.com and you sign
up for the programs and building your
wealth because you know you're going to
lock in the best price guaranteed and
you're going to continue to get amazing
content for free as the courses grow in
value link down below right anyway so
basically what was announced is
there's this official partnership that
now uh well let me backstep for a moment
before AI was AI Big Data was like this
sexy phrase that everybody talked about
back in the day and
anybody wanted to understand how are we
going to analyze big data and it was
companies like Snowflake and palantir
let's suggested hey put all of your big
data into our bucket and our bucket
manager will draw insights for you
insights that you might not have even
realized exist it's kind of like what
palantir does with their criminal
database and their terrorism database
and their War databases where it's like
give us everything that you know and
we'll Stitch pieces of the puzzle
together that you didn't even realize
were happening this is obviously
leveraging neural Nets which is a form
of artificial intelligence it's just all
basically been rebranded as AI because
that's a sexy thing to say these days
point is Nvidia has a Nemo platform that
allows the development of language
models and a lot of these database
companies are like wait a minute we
don't want people taking their data off
of our platforms and running away to
these you know newfangled AI things so
how can we figure out how to just
Rebrand what we have as having Ai and
then maybe adding in some you know
updated features the problem is these
features don't really seem that
fantastic so I'll give you their
marketing pitch and then I'll give you
some of their example use cases
and then I'll let you decide so their
marketing pitch is that quote together
Nvidia and snowflake will create an AI
Factory that helps Enterprises turn
their own valuable data into custom
generative AI models
okay so the whole point of Snow's
existence has always been that you could
take a lot of data and do more with it
now it's just being rebranded as an AI
play okay so what is this AI Factory
what are some of the use cases well
here's the type of use case
Health Care insurance models could
answer complex questions about
procedures that are covered under
various plans
okay first of all we have language Bots
Bard
gpt4 gpt4 is pretty exceptionally great
and quite frankly what it seems like
everybody is doing is just taking gpt4
and plugging it into every stupid thing
that exists in the world
and it just does the same thing that
gpt4 does everywhere call me a little
bit cynical
but the reality is use the chatbot
doesn't matter if I have to go to the
tab for open AI or here now the idea is
that oh well you could train the
language model on your own proprietary
data fine
I'm just not convinced how profitable
that kind of service will be more so
than what the company has already been
doing do I really think this partnership
is a game changer where all of a sudden
I'm going to look at the income
statement for Snowflake and go
you've plugged the in essence I'm
oversimplifying right
gpt4 into snowflake I will Mark your
revenues up at 10 a year
beyond what I previously thought no
and that's one of the frustrations that
I have with AI but I'll get to more of
that in a moment here's another one a
financial services model could share
details about specific lending
opportunities available to retail and
business customers based on specific
circumstances
okay we don't need AI to do that I can
hand you a pamphlet that's like yo if
your credit score is 640 here's what we
got for you a crap credit card and if
your credit score is 740 we got a HELOC
for you and a personal loan for you and
you know uh you know a happy ending I
don't know whatever point is
it's not it's not the the examples
they're giving aren't that impressive
uh deploying custom llms used for
generative AI applications such as chat
Bots and intelligence search
we get it like that's that's basically
what everybody is plugging in right now
everybody's figuring out how to harness
the power of this gpt4 Innovation plug
it in so where does my cynicism come in
and what do I think is a danger for this
AI craze now keep in mind
I I feel like honestly I think sometimes
it's the most frustrating part of of
what I do is
last last fall uh I started really
getting excited about chips because
chips were crap you know nobody wanted
to touch chips it was like October uh
everybody's like dude PC demand is in
the toilet chips are dead nobody's gonna
want chips anymore and I'm like I like
that chips oh and the many fundamental
reasons for this before even AI came
around like these suckers are oversold
the orange recession is over for those
particular plays here's an opportunity
anyway so I went really heavy in chips
but now the story played out to with the
benefit of AI much faster than anybody
thought it would but now as it's playing
out I'm catching myself being like no no
no
I have my concerns about this as excited
as I am about artificial intelligence
and some of the Practical use cases
you know I I think right now you're
probably looking at maybe a 15 20
efficiency boost if you harness AI
correctly uh whether that is learning
how to speak better in presentations and
videos and being more concise and and
tone checking your your letters or
dispute resolution I mean there are so
many different things that we could do
with it it's phenomenal I mean I have a
course but this is really you know a
income course how to make more money
course how to make more money and get sh
19 done faster it features AI because
we've got about 40 AI lectures and
they're really really good and these are
practical lectures on how to actually
use this stuff rather than just the you
know the basic kind of stuff you see on
Twitter or whatever but anyway the
frustration that I have is beyond this
initial boost the Innovation that we're
seeing has gone to like zero in my
opinion I know that sounds harsh and
rough and I'm not here to be like an AI
Luddite and say oh ai's you know crap AI
is great and it's going to do great
things over time but let me do this I'm
going to graph and this is why I'm I
feel frustrated uh and I'm trying to get
to that point so
let me graph you this if I'm going to
graph the first derivative of the AI
Innovation craze here's what you got
no change no change no change
GPT and Bard and all that craze
and no chain oh no change no change no
change okay this is what it feels like
so it feels like we had this big
explosion of innovation and really like
if we if we don't go to the first
derivative the graph of AI usage
probably looks like
this skyrocketing and they kind of like
staying here right so like we've
definitely leveled up
but when you look at the first
derivative
you you you're kind of like yay we had
an innovation moment but now you're kind
of flat again or it feels like the
re-innovation isn't that great
again don't get me wrong
there's certainly improvements happening
so I think maybe the way to put this is
maybe maybe there's a you know a a slow
and steady Improvement right but even
that is is it doesn't seem to be super
rapid right now what kind of risk does
this create for chips well here's the
risk it creates
the risk it creates is growth that's
being priced into these chip companies
and this is a realistic concern it's not
just trying to bandwagon off oh it's a
red day for chips something that I've
been really trying to
I don't want to say cope with but like
deal with it's like I have this problem
because I worry about people doing this
so here's what's happening
first people are like okay nvidia's
quarterly revenue for chips is now
estimated to be you know server chips
seven billion dollars so
oh I can't wait to get over this so what
people are doing is they're annualizing
that and they're saying all right
times four so in video make 28 billion
dollars on server trips and then what
they're doing is they're gonna say all
right well it's going to grow at well if
it used to if it grew at 100 in a
quarter let's just say it'll grow at 50
a year
okay
so now what people are doing is they're
saying all right well let's go 24 25.
26 27 and they're extrapolating out all
right we're gonna go
uh and grow this over and over again uh
by 1.5 uh let's do this a little bit
better uh whatever we just quickly put
this together here so they're growing
this Revenue so rapidly that uh that
basically you've got this market pricing
and Perfection for AI growth of of 50 of
extra you know spending on server chips
but my concern is ignoring China
if your AI Innovation is maybe a little
better than this like you had a big
boost and then and then maybe you've got
you know some kind of like uh I guess if
this was a first derivative chart we'd
probably be a little bit more like
that you know where you've leveled up a
little bit
but if we go over here that's not
consistent with 50 growth over and over
and over again it's really consistent
with a lot of growth really quickly in
the next quarter or two
and then a Slowdown
in that growth rate pretty rapidly once
people have these servers in fact I've
gotten to the site at this this point of
thinking to myself
if everybody gets their age 100
how much processing power do you really
need for these chat Bots
and then you upgrade to the h100s and
then what then you're flat again and
then you get back to the slow Innovation
curve of AI until the next big explosion
in Ai and all of a sudden now instead of
projecting Nvidia having 141 billion
dollars of server chip Revenue in in
2027. maybe the more realistic thing is
okay they had 28 Bill even annualizing
that could be generous but maybe the
growth was only 25 percent
and look how remarkably the numbers
change after a few years oops let's
actually do it correctly here if your
growth rate is half and and the
difference is is massive so look at that
you're less than half by 2027 if your
growth rate is is that much slower in
this case it's 25 uh you're less than
half because of the comp nature of
compound and growth uh and that just
gets even more extended so when people
do these DCF models it's a discounted
cash flow and they're running these
numbers into 2033
you know trying to do these 10-year DCFS
on AI they're assuming that the AI
Innovation is going to keep keep growing
as rapidly as GPT did here
but it would what if it was just a flash
in the pan so I personally am frustrated
and this kind of goes back to why I said
it was frustrating because
I love the chip so much at the end of
last year
and I think chips are going to be so
important for the next decade but part
of me has the struggle of like
what if this these sales are just a
flash in the pan like we had a big boost
in sales and then we level back off
slightly above where we were before like
slightly above trend
in fact that's another way to analyze
that is like think about it like
stimulus money for covid right so so uh
let's say that the trend of personal uh
you know disposable income the trend of
personal disposable income looks like
that let's call that the trend okay and
then you get kova that comes around
and all of a sudden you get this this
whole and this massive Spike uh of of
money that people get and then you're
back to this sort of negative hole and
then you're kind of you know bouncing
back to turn this is a return to trend
and maybe maybe that trend is a little
bit higher right so maybe we say all
right now we're kind of like this and
that purple trend line actually needs to
kind of start bending up right you do
something like this and so this extra
bit right here is just the net benefit
from coven that's fine but is the trend
line here now no of course not and so
that is a concern I have for AI and I'm
concerned that analysts are pricing in
this sort of goldilock-ish this here
rather than what might just be a nominal
boost a more nominal boost so that's my
take uh let me see what other notes I
had here on the uh partnership between
Snowflake and Nvidia AI Factory was
really what they were talking about you
know I I think they uh they're trying to
lean into this idea of like don't know
what to invest in in AI well snowflake
is now the shovel seller no you're not
you're not the shovel seller Nvidia and
and tsmc and uh and asml they're the
shovel sellers
but uh oh yeah and then this like
supports text to image text image to
text like all this stuff
with their great Innovations already for
it and now what companies are doing is
they're just plugging it in like
yesterday who was it it was um I think
it was Ross he's like have you ever seen
a lion eat
it was responding to somebody's
hypothetical joke uh Omar here on
Twitter was making a joke he's like all
animals are vegans why can't we be too
obviously we know all animals aren't
vegan so he's joking but Ross replies
ever seen a lion eat like Ross he's
joking but anyway so I replied I go
Omar's story checks out
and here's a little AI generated image
of a lion and his you know fruit that
he's eating
obviously this isn't real but it looks
pretty dang awesome
and it took me all of like 10 seconds to
make
okay great is that like did that I mean
it increases my productivity somewhat
but you know to some extent
uh in this in this example it's also
just a joke uh look for some purposes
it's it's fantastic again I think AI can
give you that 15 productivity boost for
sure maybe even more if you uh implement
it correctly but uh but as far as this
uh
this all in on AI uh software makes me
the most nervous but I've started to get
nervous also about chips so uh do you
mean AI is transitory
no I don't want to say it's transitory
like it's going to be here to stay right
this is not to say it's like okay chat
GPT is here and now it's not no no that
would be like transitory I would say the
rapid boost of chips sales
might be somewhat transitory potentially
are some Industries more ripe for
Innovation from AI
well you mentioned Transportation
Hospitality entertainment I actually
think it would be more like health care
and to some extent Finance those
probably more in the future I think yes
with Transportation but that's kind of
like your FSD style artificial
intelligence I actually think that's
probably your
most intelligent artificial intelligence
to some extent that exists today is full
self-driving the Tesla fsda I think it's
really really incredible uh Hospitality
entertainment I think these might be a
little bit harder
uh these are this is so very labor
involved but uh
look I remember working at Jamba Juice
back uh how long ago was that I don't
know 15 years ago and uh one of the
managers is like oh we have this
software that's like
schedule three people for today and the
manager was looking at it going like
I think it's going to be a slow day why
does it say schedule three people like
I think it's gonna be slow and the
software had all the big data of the
prior 10 years of Jamba Juice sales
and and when people come in you know
when the humidity is this level and the
weather is this level and this is that
and a lot of the holiday schedule it
puts all that big data together
and the system's like no no listen to
the AI schedule three people so the
manager like all right whatever I'll
schedule three people and you know the
first hour of the shift the boss is like
I knew it stupid computer wasting our
money again and then all of a sudden you
get like a three hour long Rush
and then afterwards the manager's like
damn how'd the AI do that
they didn't call it AI then they kind of
the computer program
so it's all just like fittery branded
you know uh
uh anyhow those are my thoughts on on
this this AI stuff uh okay good now I
want you to know this when it comes to
AI
time is what's going to make you money
and if you can prove that value to an
employer you'll always be able to be
employed so this is another way of
making sure that you don't get replaced
but
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