JPMorgan’s Playbook for a 10-15% Correction (or Worse) — ft. Michael Cembalest | Prof G Markets
1706 segments
Today's number, 104,000. That's how many
pounds a sperm whale that washed up on
an Nantucket beach this week weighed. Oh
gosh. This just everybody sit back and
buckle up. Okay, so I've never had an
unplanned pregnancy, uh, Ed, because
when my sperm [music] finally reaches
the egg, the egg swipes left.
My sperm really aren't like swimmers,
Ed. They're more like a slow jogger
being chased by a lame dog.
Um, my sperm are not really swimmers.
They're more like uh an old man browsing
at a Costco who's looking for
gluten-free peanut butter who just had
cataract surgery. Like, it's
well-intentioned, but it's just not
going to reach the goal. [laughter]
>> I could do this all day. I could I By
the way, I made up the last one myself.
Ed. [laughter]
[music]
Ed, do you have a nickname for your for
your sperm?
>> No, I I I'm not quite there yet. I'm not
really going to play ball with you on
this one. [laughter]
>> Also, let me give you a little tip. Just
just while we're barreling towards
cancellation, even Claire looks
horrified. It's important and it's fun
that every time you orgasm, you yell out
the same thing. It's really important.
You have to come up with the same thing.
This is the part where you go, "What do
you yell out, Scott? [laughter]
I told you I'm not playing ball with
you.
>> Ed's got his face in his hands. This is
not CM. Joe Kernan.
>> I'm not I'm not going to do you the
service of asking the question.
>> Surrender, Dory. That's what I yell out
from the Wizard [laughter] of Oz. That's
what I yell out. And my other Wizard of
Oz references, I I yell out, "I'm
melting." [laughter]
[snorts] That's why the fans tune in.
>> That's why they tune in. Next up, JP
Morgan, chief economist for the last
time. [laughter]
>> Uh, how are you, Ed?
>> I'm doing well, Scott. How are you
doing?
>> I'm good. I've been in LA the last few
days and I'm at the Beverly Hills Hotel.
>> Nice.
>> Where they're charging me $1,800 a night
so I can have a construction site above
my room.
>> But they they stopped the construction.
I mean, just off Mike here, you gave the
front desk a call. He asked them to stop
hammering and they did it. Pretty
baller. Good stuff.
>> Yeah. No, I I carry a lot of weight
here. Yeah, it's [laughter] uh they're
very scared of me.
>> Number one client. Um, so what what have
been the highlights from LA just before
we get into this conversation?
>> I had a dinner last night with like a
small dinner with eight people and I'm
totally name dropping. What the
Um, and Larry David. I sat next to Larry
David.
>> Wow. How was that?
>> He is literally the same person in real
life. It's not a show. It's a camera
following around. He showed up. He's
like, "Nice to meet you." He's like,
"Why do they serve odd derves?" He like
goes into a bit. He's like like he's
like why would I like I hate Uber. Do
you hate Uber? Let me talk about Uber
for He's literally I'm like oh my god
it's the show. The guy just shows up and
starts doing these bits. Uh but he's
very funny. He seems pretty nice. His
wife is lovely. I don't know. I enjoyed
>> How did you wind up at a dinner with
Larry David?
>> I'm what you call right now like an
intellectual support animal. And that is
all these rich people think it's
interesting to have me over for dinner
[laughter]
and talk about my book. Like so I think
there's two or three of these people
every year where they're like, "Okay,
let's all get together and and also at
the dinner was my role model Sam Harris
and I always enjoy seeing Sam."
>> So when you get invited as the
intellectual support animal, do you feel
a pressure to provide the intellectual
support?
>> Yeah, that's why you're there.
>> Is that fun? That sounds stressful.
Maybe that's why Larry David was doing
his bit. He was the comedic support
animal.
>> The answer is yes. And I find as I get
older. They called me and they were
going to invite this fairly
famous tech couple and I said, "No, I'm
like, I just don't want to I don't want
to meet them. I don't want to talk about
them. I don't I don't I I find that
stuff is increasingly intimidating me
and I don't want to I mean, you know
what? I'd rather just stay at home and
watch Netflix and have some big Filipino
man reheat my soup six or seven times
and just sort of start peeing in
bottles, grow my nails really long.
[laughter]
Surrender, Dorothy, [laughter]
should we should we get to AI and the
economy? Ed, [laughter]
>> you want to move on now?
>> Somebody gave me mushroom chocolates
over the weekend. Just saying.
[laughter] Just saying.
>> Okay, well that explains a lot. All
right, let's get to the economy.
[laughter]
>> Okay, now that we know what happened in
LA this weekend, here is our
conversation with Michael Semblas, the
chairman of market and investment
strategy for JP Morgan Asset [music] and
Wealth Management. Michael, thanks for
joining us again on Profy Markets. Good
to see you. Morning. So, I'm going to
dive right into the questions that we
have because we've only got you for so
long. Um, just some context. So, last
[music] week we had Professor Asworth
Deodorin on our podcast. He presented
what we think is kind of the most
bearish position we've ever seen from
him. And this is a very level-headed,
calm guy. Um, who basically told us that
he thinks that everything in the stock
market is overvalued. He said there's no
place to hide in stocks. And I'm just
going to play you a short clip uh that
kind of summarizes what he thinks right
now.
>> To the extent that there's going to be a
correction, there's no place to hide in
stocks. I I can't see a way because if
the mag 10 go down by 40%. It's not like
the industrials are going to hold their
value while this happens. The panic that
that's going to create is going to
ripple through stocks. You're an
investor primarily invest in stocks and
bonds. My advice is even though
historically you might never have
invested in non-financial asset
categories, this might be a time where
you think about, you know, kind of at
least moving a portion of your portfolio
know bigger chunk than ever into cash or
something close to cash or maybe even
collectibles, things that I I've never
owned collectibles, but you know, for
the first time in my investing history,
I'm saying maybe I should hold something
that is not going to be affecting
inflation. goes to 10%, there's a mark
in an economic crisis that is cat
potentially catastrophic.
>> So, we were very
u struck by everything he said in that
interview. Um, what do you think,
Michael? Is is he right? Are you
concerned like he is? What are your
reactions?
>> It's hard to react to somebody that
doesn't have a long-term track record of
this is when I bought, this is when I
sold, this is what I bought, this is
what I sold. You know, professors are
basically running fantasy baseball teams
by coming out inter intermittently and
telling you what who what their trades
are. It's not real money. It's not real
life. And so, you know, the purpose of
Morning Star and Liipper and a lot of
other entities out there is to kind of
track the people that actually manage
money. How do they do over the long run?
Um, and things like that. So, it's it's
a little abstract. I a better example
might be the cash stockpile that's
that's accumulating at Berkshire Hathway
is probably a an a much better indicator
of of people that are having trouble
putting money to work because they can't
find any value and certainly it's
challenging right now. There's a ton of
dry powder in the in private equity and
venture that still has to be put to work
and so it's a challenging time. um his
his premise of I think I heard him say
10% inflation like I'm I'm I'm not
prepared to quite buy into a 10%
inflation forecast nor am I prepared to
buy into the the certainty of a 10%
sorry a 40% correction in the MAG 10 or
MAG 7. Those stocks have gone up a ton
and a passing wind could cause profit
taking right um similar to what took
place earlier this year with the dollar.
Dollar went down 10%. It was at its post
financial crisis high. As soon as any
asset falls by 10%, Nuriel Rubini and
the rest of the people come out of the
woodwork and say, "Okay, this is it.
This is the big one. Everything's going
to go down from here." And then, of
course, the dollar's been flat since
then. The dollar has been actually flat
since our podcast in May. So, the last
time I was on this show, you know, I
think people have to have some kind of
discipline to recognize that when assets
are trading at 20 to 25 year highs, they
can correct by 10 or 15%. it it doesn't
necessarily unfold and unravel into the
big 40% corrections that we had in 2009
and then he had in 2001. So it's it
sounds I mean we're positioning more
defensively than we have but it you know
what he's describing there is is a
bridge too far. Plus, our normal
balanced and conservative portfolios
already have 30 to 40% in cash, cash
equivalents, gold, very diversified
hedge funds, municiples,
um, some short duration preferred and
things like that. Just to play defense
for Asaf, you know, we that clip that we
got was the most bearish string of
sentences that he he uttered. um
otherwise I think if you listen to the
full podcast it would sound less
hyperbolic perhaps but you know in some
he's concerned um but also so is
everyone else and right now this this AI
bubble more and more people are talking
about it more and more people are
googling it we're now beginning to see a
little bit of a correction in in tech
stocks as we speak
>> small
>> uh small [snorts]
um the fears of this AI bubble
are quite strong or stronger than they
have been before. Um what do you make of
those fears? Do you think that they are
warranted? Um and how are you at JP
Morgan uh thinking about it?
>> Something like 75% of all of the
revenues, profits, and capital spending
since November 2022 have come from 40 AI
related stocks. So there's there's
there's almost no justification to spend
time on anything but this. And I try to
be an even keel kind of person, but the
meta number threw me. You know, a
company announcing that they're spending
65 to 70% of their revenues on capital
spending and R&D without even knowing
what the destination is that they're
going to. As an investor, that doesn't
fill me with a lot of good feeling about
where we're going to be two years from
now. And it was only two years ago that
they did this. they reached the same
peak of 65% of revenues investing in the
metaverse, which obviously hasn't really
turned out to be anything. So, um,
there's a lot more behind this
particular generative AI boom, but the
numbers I I put together something,
Scott, I think you'd appreciate this
that you like this kind of historical
context. The tech capital spending in
2025
is equal relative to GDP of
the moon landing, the Manhattan project,
the interstate highway system,
electrification of farming, the tribal
bridge, the Minttown tunnel, the Golden
Gate Bridge, and the Hoover Dam
>> combined. Yeah.
>> Wow.
>> Yeah.
>> There's all these futurists hovering
around like bats telling us how all of
this is going to magically make some
fantastic future. And there are surely
bits and pieces of evidence here and
there of real productivity gains coming
from this. But um this is a this is a
scarier version of the ICT revolution of
the early 90s. The only silver lining
that I latch on to
is that whether it's 2001 or the casino
buildout, airlines, fiber optics,
um the the the the Calpine gas turbine
era, all of those capital spending booms
were financed with debt. And this one,
with the exception of Oracle, is being
financed with internally generated cash
flow. But that simply means it can go on
for longer before it gets unplugged by
the debt markets. It doesn't relieve you
of the ultimate need for there to be
substantial profit generation to
remunerate the trillion two of capital
that's been spent since November 2022.
>> I want to recognize I'm I'm feeling
defensive around my colleague. I've been
following ASW for 20 years and he does
the work around valuations and there's
few people in the alternative investment
space or investors that at least in my
observation have been more right more
often than him and it did rattle us cuz
he generally I want to acknowledge your
point uh it's easier to sound smart when
you're a catastrophist you just sound
smarter right and the the best traders
the best historians the best politicians
have aired on the side of asking
themselves what could go fight, you
know, and cuz the markets over the
medium and long term are up and to the
right. So, I want to acknowledge that
the I want I want to put forward a
thesis and have you respond to it. And
that is if you look at every single of
the company one of the companies we're
talking about, they have all had years
where they're down 50 to 70% in that
12-month period. And the thing that's
scary now is if a company like Nvidia,
which hasn't had one of those years, I
don't think, or maybe it did in 2022, if
that happens to a company that's now got
the market cap [snorts] of the GDP of
whatever Germany, that that that might
take the entire market down that
essentially America has become so
fragile because it is now a giant bet on
AI. And if open AI which you know I mean
60% of cap 60% of revenues on capex is
one thing as far as I can tell open AI
is about at you know 30 times 30 times
the revenue going into capex. If open AI
or some big customers here's the thesis
and you you tell me where I got this
wrong. Some standard S&P companies
PepsiCo Caterpillar PNG announced look
AI is great but we are out over our
skis. We're not seeing the return we'd
hope for. We're scaling back the
investment. Open AAI in the secondary
market trades way down and then o and
then Nvidia is is goes down 60% which
would not be unusual. it wouldn't look
cheap. And then we have a $3 trillion
destruction in the capital markets and
we basically overnight have flat
markets, GDP growth of zero and the
whole market, you know, if these
companies sneeze, we're not catching a
cold, we're catching pneumonia. Has the
thing that worries me the most and I
want to get your response is we have
inadvertently turned our markets into
into a very fragile house of cards.
There's the S&P 490 and there's the S&P
10 and right now everything is banking
on these 10 companies living up to these
extraordinary expectations. Your
thoughts?
>> I agree with most of that. Um, one of
the data points that was really
disturbing is two years ago someone
talking about GDP growth would not have
mentioned tech capital spending. It
would have been a rounding error. Last
quarter it was a third of GDP growth and
US GDP growth would already be 1% if it
weren't for this tech AI buildout. And
you know how people get upset when the
private sector gets bailed out by the
public sector. I would argue this year
Generative AI has bailed out the public
sector like the you know these the
hyperscalers bailed out the Trump
administration because without them
they'd be staring a 1% GDP growth number
in the face
>> and having to explain it which they're
in really no position to do. And by the
way, I don't think it's a coincidence
that uh we we track all of the country
product tariff matrix combinations. Um
the AI infrastructure about 70 to 90% of
those imports are exempt from tariffs
right now. So the the those sectors and
companies have also done a very good job
navigating however one has to these days
um Washington in order to get their
imports which are critical to their
survival exempt from tariffs. So, yeah,
I'm I'm nervous about it. Um, again, the
the the fact that it's being financed
through cash flow
means that we don't have quite the same
risk of a sudden seize up because, you
know, bonds can't be placed. Um, you
know, you're not going to have a hung
bridge loan that that gets like the
broker dealers in trouble and have to go
to the Fed's primary dealer credit
facility. You're not have something like
that. Um, Oracle is really the only one
that's financing any material amount of
this through debt,
>> my understanding. So, Oracle is is
raising a ton of debt and it's it's, you
know, capital markets are concerned
about this and that and we're seeing
that reflected in the stock price is
essentially underwater since the um
since the the deal with with OpenAI was
announced for my understanding though is
that the other big hyperscalers are
going out and beginning to raise debt.
Um, I mean, we just saw a big
announcement from Amazon. I think we saw
that from Meta a couple weeks ago as
well. I don't know the exact numbers,
but my understanding is they are going
and financing this with a ton of debt.
Perhaps not debt that they necessarily
have to raise. Perhaps they have the
cash surplus to to to finance this, but
they are going and raising debt. And
it's record amounts of debt that they
are raising. Is that wrong? Of the 40
companies I mentioned, there's AI
stocks. 30 are technology what you and I
would agree are technology companies.
Five are capital equipment companies
like GE Vernova that make the turbines.
And then five are utilities. Let's look
at the 30 AI stocks. Something like 25
of them actually have negative net debt
to Ebbitar ratios because they have more
cash and cash equivalents on their
balance sheet than debt. So for the most
part, um the debt's not an issue. The
Oracle is an exception and is in part a
reflection of the fact that or that that
Ellison's been buying back stock for 15
years and you know taking taking money
out that way. At some point Oracle is
going to have to be recapitalized if
it's going to be borrowing like this.
The Meta deal was interesting and when I
explain how I view it, you'll probably
say, "Well, that that's even scarier
than if it was Meta."
>> I hear it. The meta partnership with
Blue Owl that borrowed 27 billion in the
investment grade bond markets was an SPV
with a strange French name and the debts
not consolidated onto Meta's balance
sheet. Initially, I was concerned that
that was some kind of slight of hand.
It's not. It's worse.
They basically have walk away rights
every four years and a declining
residual value guarantee. Blue Owl's
holding the bag. So, Blue Owl is at
risk. If at any point Meta basically
says, you know, this this we're not
getting a return on this particular data
center complex, we're out. And Blue and
the people that have put up the money
for Blue Owl are the ones holding the
bag. So I think S&P was right to kind of
withhold consolidation of that
obligation, but it says it says a lot
about the underwriting discipline that's
taking place in in you know in private
credit and in other places that are
financing these data centers because
they're the ones that are taking the
risk. It's essentially releasing risk
the likes of which you've seen forever
in the commercial real estate markets.
>> So it sounds like someone is on the
hook. In this case, it's Blue Owl and
we're probably seeing equivalence in
these other debt deals. And by the way,
we're seeing this kind of reflect in the
stock right now. Blue Owl is publicly
traded and it's been it's declining this
week. Um, but is the is the conclusion
then? Because it sounds like you agree
with ASW. We are seeing some we're
seeing some form of a bubble. People are
exuberant. There's a lot of hype and a
lot of excitement that isn't fully
tethered to reality right now when it
comes to AI. But it sounds like where
you disagree is the extent and scale of
the damage that we're going to see if
something blows up or at least the
likelihood that there will be some sort
of blowout.
>> Last year was a perfect example. My
forecast for the year was the Trump
people were going to break something.
We'd have a 15% to 20% correction, but
stocks would end the year higher than
where they began. Um it happened within
50 days 50 days of the inauguration.
They broke everything. Um markets went
down. They eventually came back. I I
wouldn't I wouldn't describe any of the
subsequent recovery as as as the
byproduct of administration policy, but
I think I think you and Scott are right,
which is it would be kind of shocking if
you didn't have some kind of profit
taking correction
in 2026 at some point on the order of 10
to 15%. It would be I'd be I'd be really
surprised not to see that. The the big
question is if you told me the draw down
is 12%. I don't really have to make any
substantial portfolio allocation changes
here. We can we can work through that
with the way that we manage money. If
it's 40, that's different. And so that's
the that's essentially the big call that
asset allocators and Orisa plans and
endowments and foundations have to make.
Are we looking at a 12 to 15% correction
or are we looking at something that's
going to end up at 40 right now? uh with
with a little bit of Fed easing and and
some steady momentum, I I'm I'm I'm more
inclined to think of the 12 to 15 and
the 40.
We'll be right back after the break. And
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>> We're back with property markets.
>> I just want to unpack something you said
about the Trump administration would not
have nearly the cloud cover for some of
the things he was doing. If if these 10
companies were off, the S&P would be
flat or down. GDP I the stuff I've said
is that we'd actually be already be in a
recession.
>> Y
>> So he has a vested interest in this boom
continuing, right? I won't even say this
bubble but this boom continuing doesn't
that I feel like all paths lead to the
same place and that is the government
will back the debt to continue to make
these extraordinary capital purchases
which in my view weakens the strength
and integrity of the US debt markets or
treasuries and is like a further move
into socialism. But I predict he is
going to back uh these companies. Not
the other, not the real economy, not the
main street economy, not the 490
companies in the S&P that got to
actually compete in the capital markets.
But he has such a vested interest in the
in the music continuing here that the
government will step in and offer in
some way to back the exceptional capital
expenditures such so they can continue
to make them and that is only inflating
the bubble to very dangerous territory.
your thoughts on that thesis?
>> That would worry me if I saw it. Um I
would they've done a couple things so
far that I would in fairness put in
different bucket. I like I you know
Jamie is a very inspirational CEO and
one of the things I admire most about
him is he calls it like he sees it,
right? So um
they've done a couple of deals with MP
Materials and Intel. Both of those deals
fall under traditional industrial policy
of of trying to rescue supply chains
that are rapidly diminishing in the
United States with respect to domestic
semiconductor production and critical
minerals.
>> I think you're being generous when they
pick one company and take a stake and
they take a golden share in one steel
company. I would argue that is not
structural or there's not a systemic
strategy there. That's the blood sugar
of a man who thinks he can run these
businesses better than the private
sector. I'm going to disagree with you
on that one and NP materials in
particular. Um I mean they they have
provided a price floor on on neodymium
and praise demium which is needed by the
US military. It's the last man standing
in that sector. Um I if you told me that
that an adi a presidential
administration had to administer an
industrial policy to pick winners and
losers,
this might be the last administration I
would want to see do that. That said,
you know, you don't get to pick your
time and place. And as things stand
right now, China has a chokeold on those
critical minerals. And whatever
administration is is in power is
responsible for making sure uh
particularly with China flexing its
muscles on export controls that we start
the process of trying to rebuild both
mining and processing of critical
minerals. If you can't do that, you've
got a wide range of both renewable
energy and military applications that
will soon become untenable. That has to
be done. I I I would have preferred for
Eisenhower to do it. Okay. But, you
know, I'm 63. So, uh I probably would
have preferred for George Bush Senior to
do it. Um right. I'm not sure I would
have wanted Obama to do it. Those I'm
not sure I would have wanted Jennifer
Granholm to do it. Um so, but you don't
get to pick your time and place. Intel
was different. There's there's no
guarantee of demand. There's no price
floors. It's basically just a cash
infusion. And based on everything I
understand about Intel, their problem
isn't money. So, the worst thing about
that one is I don't even think whatever
it is they did is going to be very
impactful.
But I I and I but I do expect to see
more
intervention by the administration
in in companies that represent the the
tail end of surviving supply chains,
whether it's ship building or anything
else. And and I'm actually I'm actually
I'm I'm not a I'm not a heritage KO guy.
So I'm in support of that. you oversee
and kind of set the strategy and the
narrative and the theme for one of the
deepest pools of capital in the world.
What other than just moving to cash and
maybe that's the only thing you can do.
How do you I don't want to say become
defensive but just recognize that
traditionally when stocks are this fully
valued the markets tend to have a pretty
serious correction or go flat for 10
years like how is your recommended asset
reallocation
what has it been what are you
recommending to those deep pools of
capital uh other than just going into
cash
>> so the answer to that question I think
you'll find interesting because it's
less about changing the asset allocation
of of the different portfolios it's more
about explaining to clients that they
they may be better off switching from
balanced to conservative or from growth
to balanced. When we define the risk
contours of a balanced portfolio, there
are certain parameters that we can go
outside of but usually tend not to want
to do. And so if if if we're really
feeling that the risk return of a growth
portfolio is changing, we would rather
have the student body, you know, change
from being premed to pre-law and migrate
down to the balanced portfolio risk
rather than have to turn the balanced
portfolio or the growth portfolio into
something it isn't. because there's
always going to be people with
generational money or or or quite
frankly
this the city of Chicago, Cook County,
Illinois, New Jersey, plans that are
kind of on paper in extreme distress.
[clears throat]
They their inclination is to take a lot
of risk. And so I don't want to change
what a growth portfolio does because
there are people that are going to
allocate to that and have have every
right to expect a growth portfolio to be
positioned the way a growth portfolio
looks. So part of our job is to explain
to whoever wants to listen that that the
risk return is skewing because of where
the valuations are. So you might want to
kind of move down the portfolio chain.
What does a balanced or more defensive
portfolio look like for those I mean
just at a very high high level general
level like what is that portfolio look
like bonds versus stocks
>> you're talking about 30 to 40% of the
portfolio being in some combination
of cash
short-term A1 P1 commercial paper um m
municiples for taxable clients um super
diversified
um hedge funds like 30 to 40 of them
where where like the V turns out to be
something like five or 6%.
Um and uh some preferred stock things
like that. So you you're kind of taking
a lot of the directional beta risk out
of it. Um you you would
>> you know you're obviously positioning
much more defensively. Healthcare is
trading at like the cheapest valuation
on record relative to itself and
relative to the market. So if you're
going to take a position someplace,
go someplace where you can be paid for
the risk a little bit better, you know?
So stuff like that.
>> How is tech uh valued at large right now
in terms of paying you for the risk? The
first thing people tend to do is say I'm
going to look at the PE of tech and then
I'm going to look at the PE of something
else whether it's industrials or basic
materials consumer discretionary or
staples. But for a hundred years people
have been adjusting PE ratios for growth
like for earnings growth and ROE and ROA
and capital efficiency. So if and one of
the things we do and we share this in
all our publications is we plot both
stocks and sectors and industries with
return on equity on the x- axis and
either PE or price to book on the y-
axis. And so
there's a lot more consistency to the
way the market's valued once you adjust
for earnings growth. Now you may think
the slope of the curve is too steep and
I wouldn't disagree with you but to just
kind of look at PE differentials is
really missing the point that even
before this generative AI boom and we
roll back the clock to 2019 the tech
sector had double the margins of the
rest of the market. They had become the
things that the tech investors of 2000
would eventually dream they would be
which is highly capital efficient
lowemployment businesses with huge
operating margins. So that's what they
were even before this whole AI boom
started.
>> Yeah. Something that I was thinking
about after we spoke with Assworth. I
mean his his core valuation tool is the
equity risk premium which basically you
know he's taking the the rate of return
on stocks minus the risk-free rate and
that and he sort of plots that out.
>> Yeah.
>> And you don't you you're not a fan.
[laughter]
>> It doesn't have any nuance to it. It
doesn't look at earnings growth and it
doesn't differentiate between sectors
and you know and it's I understand why
people want to look at it over the
really long run. It can be obviously a
helpful tool.
>> Yeah. I Well, I think it's it's helpful.
It's helpful when you're trying to take
a bird's eye view and understand where
we are in terms of sentiment. And the
thing that kind of surprised me is, you
know, we're at around 3.7% by that
measure. And, you know, to be fair to
him, he says, you know, anything below
4% is a little bit dangerous. But we're
also nowhere near where we were in 99
when it was around 2%. And you know, you
you're someone I mean, you were a
managing director during the the the.com
boom and bust. you were you were the
chief investment officer of JP Morgan
during the 2008 financial crisis. So
you've seen these cycles before and I
think what we're describing here is like
how do we put this in the context of not
just tech versus industrials versus
consumer but how do we put it in the
context of all of history and what does
this look like compared to previous
crises and previous cycles.
>> I couldn't sleep
in March of 2008. like I couldn't sleep.
Um the things that we were seeing on a
daily basis were so bad.
Um and and we knew that it was infecting
the entire like network of the financial
system and we went underweight both
stocks and high yield. The only mistake
we made is we didn't do more of it. Just
to show you how hidden those risks were,
JP Morgan, which is an exceptionally run
bank, bought a couple of billion dollars
worth of Fanny and Freddy preferreds
that summer for its own balance sheet
three months before they went to
conservatorship. Right? So that's how
hidden the the depth of the problems
were. Um 2001 was easier because the
companies weren't making any money. And
so as long as you had some degree of
discipline and support from your
investment committee to to to go through
a period of temporary underperformance
as the market was rocking, you did fine,
right? And so that in a way that was the
easiest one. Um uh I I remember
um we had this annual MD meeting and um
the chairman at the time invited a
company to come speak to us in 1999. He
invited a CEO to come on stage and
address all the MDs and he was the CEO
of a company called the globe.com. So I
pulled up the globe.com on Bloomberg and
I hit dees and it said this company has
no business model at the time. [snorts]
So we're sitting there like the chairman
has invited a guy who runs a company
with no business model to address us. I
think we're underweight now. Right. I
mean so that that was [laughter] pretty
easy. Th this this is this is a harder
one.
because you know in many ways Google's
one of the most successful companies in
the history of the markets. Um I I
personally think their AI related
language model products are better than
everybody else and I think they're the
long-term winners in this race. And so I
I have a lot of respect for what that
company's accomplished. Um you know I I
I have similar feelings about what
Amazon and and Microsoft are doing. Um,
but like Microsoft signed a deal
recently
with Constellation Energy to turn back
on a nuclear power plant in um,
>> Three-Mile Island.
>> Three Mile Island. They've agreed to pay
something in the neighborhood of $130 a
megawatt hour. Now, most of your
listeners don't know what that means.
That's double wholesale power prices for
for an average 20-year, you know, PPA
agreement. The other risk that we need
to acknowledge is we're getting closer
to a power wall
that will prevent OpenAI from getting
anywhere near like they've announced
partnerships with Broadcom, Oracle, AMD,
and Nvidia that would require 30
gigawatts of power, which is the
equivalent of 16 Hoover Dams. Like,
that's just not going to happen.
>> [snorts]
>> So what what we're trying to figure out
is how much of what's in the price of
this whole AI boom is the expectation
that these announcements are actually
going to come to fruition under some 3
to 5 year time frame because it's
impossible.
>> Yeah, it seems it seems kind of obvious
to almost everyone that the I mean if
you look at the numbers when you see the
the amount of power that it's going to
take to build out AI the way OpenAI
would like it's like oh yeah that's
that's not possible. And you know, one
of the things that we've been talking a
lot about recently is that crazy
interaction between Sam Alman and Brad
Gersonner. I don't know if you saw this,
where Brad Gersonner says, you know,
you're going to spend, you're making $13
billion in revenue. You you plan to
spend $1.5 trillion over the next few
years. How are you going to pay for it?
To which Salman responds, if you want to
sell your stock, you can. Be my guest.
There are plenty of other buyers out
there who would love to buy OpenAI
stock.
>> [laughter]
>> It sounds like what happens when when
there's a syndicated loan
um distribution now on Wall Street,
there's so much demand that if you if
you press the button that says on the
syndicate call, I have a question about
the documents, you get disconnected.
Like if you have a question on the docs,
we you don't need to be part of the
syndicate. So that those I would agree
with you. Those are the signs that are
kind of telling me that we've entered
into a period where where the the
risk-taking isn't there. Um that the
underwriting has gotten sloppy. Um when
we look at like in the inards of the
private credit markets, private credit
five years ago was substantially
different than leverage loans in really
boring ways having to do with
maintenance covenants, IP blockers, and
all sorts of stuff. And over that 5year
period, it's converging rapidly towards
the leverage loan market, which
basically doesn't apply much of an
underwriting
wall at all. You know, so we're we're
we're kind of preparing for a uh um
profit taking spark that comes from
things we might not be able to
anticipate,
a violent, you know, correction in over
bid assets.
um and then some period of kind of
recovery and calm that follows.
>> In a previous life, Michael, I used to
take boards and management teams outside
and do scenario planning as as an
exercise for how they allocate their
capital. And if I were going to do this
for a bank or anyone else, there's a
couple scenarios I want to outline and
you tell me if they're realist
realistic, if you think they might
happen, and if so, how to respond.
The first scenario is all right. Built
into these baked into these valuations
of these AI companies is what I've read
the assumption that they're going to be
able to find or inspire across their
clients 3 to 5 trillion in incremental
revenues or efficiencies. Now I don't
see a lot of AI moisturizer out there.
What I do see is companies saying okay
we're cutting our legal expenses. We're
cutting compliance. There's real savings
and efficiencies. which is sort of Latin
for layoffs. And if you think that 160
million people in the nation work, if
half of them are in industries immune to
AI, chiropractors, you know, welders, 80
million are quote unquote vulnerable. If
you were to not inspire, which I have
not seen, a ton of incremental revenue
growth from AI products, but but all
efficiencies, say a trillion a year,
$100,000 average load per job, you're
talking about a destruction in the labor
market of 10 million jobs a year across
the 80 million jobs that are vulnerable
or a 12 a.5%
labor destruction per year in certain
industries, which may not sound like a
lot, but that's chaos. or or these
companies valuations get cut in half. I
I see this as a pretty definitive fork
in the road. Either pretty much chaos in
the labor markets for the next 3 years
or these companies adjust down their
expectations and valuations.
What are your thoughts on that scenario?
>> Those are some important questions. Um
[laughter] that says it all.
The first kind of thought piece that
OpenAI published after GPT was released
was a piece that kind of jumped out and
said Generative AI is going to be
complimentary to workers and not
destructive. And I remember thinking,
uhoh, it's going to be bad [laughter]
because they they they they they were
ready to go out of the gate with a paper
to defend the labor market of this stuff
like right away to try to get out in
front of it, which which which
demonstrates that they kind of knew what
this would would be able to do to
certain industries. You know, the other
thing that happened uh and I wrote about
this a couple months ago, there was a
couple of papers that came out. There
was there's this chart showing that the
um unemployment rate for reaching
college graduates for the first time in
about 60 years is higher now than the
overall unemployment rate rather than
lower. So the first two pieces that come
out say it has nothing to do with
generative AI. So you know you go to the
back and you like who wrote this piece
and as you unravel the threads they're
Silicon Valley think tanks. And so then
I kind of went to David Our and Darren
Osamoglu at Harvard at MIT and and um um
John Bjolson at Stanford. You get a
different answer which is yes, it's kind
of looking like generative AI is
beginning to affect um uh those young
college graduates. So so we're starting
to see that. We made this pyramid of
things about AI and the bottom of the
pyramid is the most ubiquitous thing you
can find which is like futurist
forecasts and all sorts of stuff and
then as you go a little narrower it's
um study lab studies of AI doing non-b
businessiness related things. They're
great, right? It's it plays chess. It
plays go. It plays It can do all sorts
of non-b businessiness related things
extremely well. It can play your Wordle
for you, right? Then now let's see how
does it do in actual business related
tasks. Pyramid's getting narrower, but
there are some studies out there showing
this in a lab setting. Then you want
like surveys of adoption, but then you
get those kind of bland, you know, cream
of chicken soup pieces from McKenzie
where all they do is call companies and
say, "Hey, do are you using it?" Right?
And you [snorts] don't really learn
anything from that. And then you keep
going up the pyramid to hardcore stuff
where what are the revenue and profit
and productivity consequences of doing
this stuff? There's only a handful of
those. And what you can't find at all is
the top of them pyramid which are
pathways
explicit pathways to profitability for
generative AI adoption for the
hyperscalers. [music]
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>> I think China's pissed off. I I think
they're sick of trying to figure out the
US China relationship, plan their
economy, and they're diversifying away
from us. 24% of their exports used to
come to the US, now 17. But they really
feel as if they have, I believe they
feel we have declared economic war on
them. and that they are going to punch
back. And one way they might punch back
or what I would do if I were she, we run
companies for profit. They sort of run
companies for control and geopolitical
advantage. And if I were them, I would
begin a government sponsored drive of
capital and strategy to essentially
engage in
what in the 80s they did with steel, but
with AI and engage in massive AI
dumping. and that is create a ton of
LLMs that have near par technically to
US LLMs and then dump them into mark the
market you know uh kind of these openw
weight open-source LLMs that basically
do what China does and that is offer 95
97% of the premium high-end US product
for 5% of the price and then essentially
cut go for the jugular just flood the
market with openweight LLMs and AI
products for nearfree that takes down
massively erodess the margin power of
these companies takes them down and
thereby takes the US economy down. Your
thoughts?
>> So the the outlook for this year has
four major risks. Number one is the
power constraint wall. Number two is the
thing you just said which is that China
basically scales the moat on its own. As
as recently as three years ago that
scenario you just described would have
been impossible. Um, China is the
world's leader in a lot of things. You
know, fish, they've made more fusion
advances. They're ahead in genetic
testing of certain new drugs. They have
there's a really cool thing that looks
at the complexity of exports. Um, it's I
think the it's one of the Harvard labs
that does it. They've converged now with
the United States. So, the complexity in
the industrial complexity and
sophistication of their exports has
matched that of the United States. But
as recently as 5 years ago, they
couldn't figure out the semiconductor
thing. And the through a combination of
ingenuity and theft, they have now
acquired um a lot of things. There's a
long list of people that used to work
for for you know either TSMC or ASML
that are now working for Huawei. And
Huawei has announced that next year they
expect to sell to your points got a chip
cluster
that matches or exceeds the performance
of what you can get from Nvidia.
Um now it's got more it it matches the
power the chip on a per chip basis. It's
only let's say a third as powerful but
they say fine we'll just use three times
as many chips. And so that's they're
they're trying to use a combination of
brain and brawn to do that. I I that
feel that kind of still feels twina's
on a really long-term journey and I
would agree that that is very much
explicitly their goal. I want to talk
more about the your 2026 outlook. Um so
you mentioned that the number one risks
or the number one risk is power
constraints. We don't have enough power
to build all the things that we want to
build particularly AI. You said number
two is China. Uh what else should we
know in terms of risks?
>> Well, the two other ones is the the the
more that China is able to
[sighs and gasps]
rely on its own chip ecosystem, the that
means that number three risk has to be
Taiwan because um you know the the
Taiwan essentially was always
protected by the fact that China relied
90% for its advanced chips on Taiwanese
output. you know, the the day we wake up
and that number is below 50%. I think
you have to start to re-evaluate some of
the geopolitical contingencies around
this whole thing. Um, there's great
work. CSIS is the best think tank in the
world on this kind of stuff. And they
showed us some data. Something like 85%
of Chinese military assets are in the
Taiwanese Strait. They have been
partnering with Russia to do drills on
how to drop heavy equipment out of
specially designed parachutes from
helicopters. Um, you know that this is
this is moving in another direction in
another clear direction here. Uh, and
again, you don't know when and you don't
know how and you don't know why. And
maybe it's a quarantine, maybe it's a
blockade, maybe it's not a full-out
invasion. But there are going to be some
challenging times for the west
within the next 5 years as it relates to
its almost exclusive reliance on this
you know Nvidia ASML TSMC partnership.
And then the fourth one is the stuff
we've been talking about which is this
kind of collective
metaverse moment where investors in
aggregate say like okay it's not a waste
of money but the we don't we can't see
the ROI we're going to take profits
until we have a clearer vision of of
where this is going. I I'm still digging
through it. There was a for every good
paper there's a negative paper right so
that for every good paper on AI adoption
there was one that you should read it it
came from this group called MIT Nanda
NDA
>> yeah the 95% one yeah
>> yeah like you know I read through the
details on that one that uh those are a
lot of companies that that kind of tried
it played around with it and said you
know what we're just going to keep doing
things the way we're doing them
>> the other um thing that the outlook
mentions there are three forces that
will define next years market. Um they
are according to your report AI. We've
discussed that. I think everyone
understands that global fragmentation
and inflation. Describe global
fragmentation and inflation for us.
>> Let me just summarize by saying like the
the Fed is is facing a peculiar fork in
the road here. It's not a violent
differential, but there's a meaningful
differential right now between we look
at the PMI surveys, right? The ISM and
PMI surveys of prices paid. those are
going up. Uh the PMI survey is on labor,
they're going down, right? So what's a
Federal Reserve to do when you have a
dual mandate that are going in opposite
directions? Um historically, the Fed has
almost never cut rates when prices paid
surveys are going up. Why would they,
right? I mean, you'd be easing into an
inflationary environment. Um it looks
like they're going to do that and it's a
it's a huge gamble. Um the gamble is
that the inflationary increase is tariff
related and once it makes its way
through the system it will not ignite
some kind of wage price spiral and
inflation will be coming down by the
spring and the Fed will be vindicated.
But that's that's a big bet and that's
the bet that's you know that we're
looking at as we're heading into you
know the end of the year and early next
year and the markets are pricing in a
couple of cuts here uh because of that.
Um, I'm I'm less worried about tariffs
than immigration policy as it relates to
this stuff we're talking about. I I
think the president is less committed to
some of these things than he appears to
be. Um, they're they're already adding
massive numbers of products to the
exemption list of tariffs. So, I think
the tariff stuff will turn out to be
less damaging.
But the um the latest data from the Fed
is that 50,000 payroll growth is is is
inflationary. Like the nu of inflation
for wages is 50,000, right? So they
Yeah, they shut the border. We all
understand what political forces they
were reacting to. But the United States
needs people to grow. And if if if you
get wage inflation at 50,000 payroll
growth, you have a labor supply problem.
And so they're they're gonna have to
they're gonna have to make a change
soon on that one or else they're going
to have bigger problems.
>> Yeah. The report also says it says um
tariffs are here to stay no matter what
the Supreme Court rules. What are you
thinking about in terms of the Supreme
Court ruling on tariffs right now?
>> You know Gorsuch has been kind of
tilting his showing I don't know the
poker analogy because I don't play I
don't gamble. Um but what what is is it
the thing where you hold your cards and
people can see what you have or
something? I mean, he's he's been
showing his cards a little um during
during the hearing and um I think he and
Barrett will side with the Liberals and
um that would reduce the effective
tariff rate from like 15 to 7 and then
they would try to replace 2 or 3% of
them with some other clauses, but a
bunch of them get defanged and are not
so easy to replace. Do you think there
might be a ruling where they have to pay
back the tariffs to the companies the
tariffs were imposed on?
>> I do over some period of time and you
know they would make that as difficult
as possible and you know that it would
be extremely messy um you know it would
be you know think think about the
messiness of the PPP loans as people
started to kind of clean up after them.
I mean the it's it's it's a messy thing
to do. And of course the the Doge people
cut a lot of the staffing as it relates
to the enforcement and tracking of this
stuff. So one of the reasons the tariffs
haven't been quite as much of an impact
on the economy is a lot of companies are
recategorizing goods so that they fall
under different tariff buckets that they
may not necessarily supposed to apply
to. But if you've gutted the enforcement
of the people that look at that then
that's what companies are going to do.
So, um, you know, earlier in the year, a
lot of people were trying to convince me
that there was this holistic vision that
they had about what they were trying to
accomplish. And I'm I'm I've struggled
with that because I see too many
policies that conflict with each other.
Like, if you're really trying to attract
foreign direct investment, why would you
expel all of those South Korean factory
workers? There's just too many policies
that don't seem to be aligned with what
the administration says its goals are.
So, which has given me less confidence
that that they that there's a kind of a
a playlist here that is all adding up to
some big coherent grand vision. You've
got to work over time to justify how it
all makes sense and how it all plays
into a specific strategy and then which
leads you to believe okay that's not
what's happening. This is this is policy
by tweets.
>> If you have time on the weekend and you
really want to, you know, read something
interesting, the Washington Post had an
editorial recently from every single
living prior surgeon general about what
they thought about the leadership at
HHS. And uh I'm not going to go into any
more detail. [laughter]
Okay, we'll check it out on our own
time. Um just start Final question from
me. Scott might have one as well. Um,
we've talked about some kind of
concerning stuff on this podcast and you
said that you thought it was, and
correct me if I'm wrong, you thought it
would be unlikely to see some sort of
profit taking event to the tune of 10 to
12 to 15%.
>> No, that's the one I thought was likely.
>> I I misspoke. That's what I meant. That
is a likely scenario. You That's almost
your base case for next year. and
perhaps there is a a more shocking event
like 40%. But you're thinking, you know,
you're going to see 10, 12, 15%
correction. Um, for for someone who has
kind of a regular portfolio, a regular
investor who is, you know, dollar cost
averaging into the market, into the S&P,
they've been doing that for a few years,
maybe they haven't looked at bonds too
closely in the past. What is your
general advice for those people going
into 2026? How should they think about
their portfolio and how should they
invest right now?
>> Well, you know, based on what we've just
discussed, it would make sense to start
accumulating some
dry powder to take advantage of whatever
opportunities may exist. A lot of times
when you get selloffs like that, a bunch
of things sell off. All of a sudden, you
start seeing industrial and utility
preferred stock sell off two to three
points, which is can be the equivalent
of 50, 60, 80 basis points. So, you
know, um having having some spare cash
and and and credit to be able to draw on
when these things happen can be helpful.
Um a lot of these things tend to be very
v-shaped, right? If you look back at
almost every single one of these
corrections, including the one that
happened last year, there's this rapid
violent unwinding of risk. Uh I think a
lot of the hedge fund, the big risk
parity funds are kind of um partially
responsible for that. But then it tends
to snap back where it comes back roughly
at the same speed at which it declined.
In in that regard,
individual investors have an advantage
over some of the large institutional
investors. I mean, the average the
average endowment or foundation meets
quarterly. They're they're not even set
up to respond to some of these things.
>> Yeah.
>> So, um I think it's, you know, in retail
investors have at least the flexibility
to try to act when these things happen.
>> Make the bull case for 2026. you start
seeing more concrete evidence of of AI
adoption
that companies are willing to pay for
and
you you you start seeing
productivity benefits that are based
equally on revenues and not entirely on
the backs of lower rates of hiring. Um,
China starts to cut back on its excess
production policy. They announced this
involution campaign a few months ago
that's designed to make Chinese
companies more profitable by telling
them to stop overproducing. I'll believe
it when I see it. Um, you get fiscal
stimulus in Europe in part because Trump
is basically forcing them to defend
themselves. Uh, another policy that I
think is long overdue, um, Europe agreed
in 2006 to spend 2% of GDP on defense
and it took them until 2021 to finally
get there. And, uh, so you're starting
to see more defense spending in Europe,
which is stimulative. And um and then in
the US the Fed is vindicated
where inflation starts to roll over
aided and emedded by an enormous amount
of multif family and single family real
estate supply uh pushing down housing
related inflation.
and and the administration figures out
through some combination of relaxation
in certain regulations and things like
that
to to ramp up US oil and gas production.
So energy prices come down. So that's
that's kind of your your bull case.
Michael San is the chairman of market
and investment strategy for JP Morgan
Asset and wealth management. a global
leader in investment management and
private banking with $6 trillion dollars
of client assets under management
worldwide. He's responsible for the
development of market and investment
insights across the firm's institutional
funds and private banking businesses.
Michael joined JP Morgan in 1987. His
previously served as chief investment
officer for the firm's global private
bank and head strategist for emerging
markets fixed income. And you can
discover more of his insights by reading
Eye on the Market or listening to his
podcast by the same name, Michael. Uh,
always really insightful. Uh, really
appreciate your time. Thank you.
>> Good to see you, Michael.
>> Thank you very much. Good to see you,
Scott.
>> Ed, what' you think?
>> Uh, I thought that was very I He knows
everything, which is so It's so helpful.
Um I mean he's kind of overseeing one of
the largest
portfolios in terms of
aumumumumumumumumumumumumumumumumumumumum
in the world. So I mean he's got so much
data.
Um I I I'm
I think I agree with him on pretty much
everything he said. I mean our reactions
to interview I thought it was really
striking but I didn't feel quite as
bearish um as as Professor Deodum was
when we interviewed him. I feel like
Michael's sentiment is more where I'm at
right now in terms of valuations. Um,
where I'm kind of expecting some sort of
correction, but not something that is
kind of going to cause a a major major
crisis. So,
yeah, I thought that was informative,
made me feel maybe a little better. I
think he's very measured because he the
last thing he wants to do is spook, you
know, the $2 trillion in value or in
assets they oversee. But he sounded
he sounded measured and a little bit I
don't want to say nervous but and I
might be it might be just confirmation
bias but whether it's Sam Alman or Alex
Kart getting defensive or deodorant
saying
Asworth is the least panicked person
I've ever met and and then Michael sort
of Michael seems really measured not to
a fault but really measured like Okay, I
don't want to I don't want to spook all
the capital I oversee, but I'm having a
tough time defending this market. Um,
and I think part of the reason he's in
the position he is is this guy is just
he's very measured. He just doesn't
scare easily, right? But I don't know.
And again, I I can't figure I can't sus
out [snorts]
like when I hate everyone around me, I
know it's my depression. like when I
literally hate everybody. Um I know it's
my depression speaking and I'm pretty
convinced now we're in for a serious
pretty rocky road in the next 12 months
and I can't I can't sus out my old man
boomer anger from the actual data. But
the data I just think looks I think if
the market goes down 40% if the NASDAQ
goes down 40% in the next 90 days or 100
we're going to be like well of course it
did. I think it's going to be
like the most obvious thing in the
rearview mirror that it happens. So, but
anyways, back to Michael. I I like him
because he's measured and just I like
that he pauses and thinks about
questions. He wants to answer them
answer them correctly.
>> I appreciate that too. Yeah. And and you
know what he saids with what you're
saying. I think he he is anxious and
kind of expressed that. I mean, he said
that his base case is a 10 to 12 to 15%
correction, which is kind of a big deal
in and of itself. I mean, the question
is, do you think it's going to be like
that or do you think it's going to be
40%, which again, he didn't rule out. He
said that it was unlikely. He doesn't
think it's going to happen, but he
didn't fully rule it out. I think the
the the the part that he's gotten right
is that there is crazy amounts of
leverage and debt that's being
accumulated, but only in certain
contained spaces. So, he mentioned
Oracle. I've talked about how Open AI,
they haven't gotten there yet, but
they're going to have to raise huge
amounts of debt in order to support the
amount of um AI that they want to build
and and spend on over the next few
years.
uh he mentioned Blue Owl and the idea
that Meta is raising debt but using
these SPVS to sort of protect
themselves. So I think where he's
probably right is that the debt and the
leverage that we're seeing isn't quite
as systemic as we've seen in previous
crises which is probably going to be a
good thing. It means that whatever
correction we see is going to be at
least more contained than it has been in
previous crises. I think that's quite a
a a sound analysis. The question then
becomes, well, how much more debt are we
going to see in the pipeline? I mean, is
it just Oracle or are we going to start
seeing crazy amounts of debt from Amazon
and Microsoft and Meta? Are they going
to ramp it up? Um, that that that's sort
of the next question. But in terms of
his views on like what the implosion
will look like, um [music] I think he I
think he's pretty spot on.
Thank you for listening to Prof Markets
from Prof Media. If you liked what you
heard, give us a follow and join us for
a fresh take on markets on Monday.
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Ask follow-up questions or revisit key timestamps.
This video discusses the current state of the economy, focusing on the AI bubble, potential market corrections, and global economic fragmentation. Michael Semblas from JP Morgan Asset and Wealth Management provides insights into these topics, contrasting his views with more bearish predictions from other economists. Key discussion points include the sustainability of the AI boom, the role of tech companies in GDP growth, the potential for market downturns, and geopolitical risks associated with China and Taiwan. Semblas also touches upon government intervention in the economy, the impact of tariffs, and the Federal Reserve's challenges in managing inflation and labor market issues. The conversation highlights concerns about high valuations, excessive debt accumulation in specific sectors, and the potential for significant market corrections.
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