Why SpaceX didn't kill the AI trade
218 segments
And let's see where investors are
putting their focus in as Wall Street
wraps up a busy trading week. Joining me
now is Michael Monahan. He's a founder
ETS partner and portfolio manager.
Thanks for being here on a Friday
afternoon and a historic one. Let's just
start with SpaceX and get your your
first initial thoughts here on the first
day of trading.
>> It's great to be here and we really
appreciate the way traded sort of the
piece de resistance of the legendary
Goldman Sachs franchise IPO franchise.
They went ahead and put in a perfect 20%
pop as you talked about. But what we
really liked as real buyers, right?
We're real buyers on the open. I think
that match off they did was masterful.
So rather than giving the big pop to the
flippers, they managed that process
where they got all that flip stop stock
out, sold it to real buyers like us at a
decent price and allowed us to
participate in part of the pop. So
Goldman Sachs, the legendary IPO
franchise, I think they earned their
money today.
>> All right. Well, let's talk about the
market in general because we we saw this
week, we've seen semiconductors the
heart of this AI trade take a few
stumbles here and just getting some of
the research notes out from companies
like VandaTrack. At least on the retail
side, investors were selling some chip
stocks to make room for SpaceX. Do you
have any concern that SpaceX and these
other IPOs are going to just suck too
much money out of the system? Any any
broader market concerns there?
>> So we invest for such a long term that
we don't look at a lot of these
day-to-day moves. We know other market
participants do. So
I think people are going to go home over
the weekend and remember that Elon just
raised 80 billion, that Google raised 80
billion, that Larry's about to raise 40
billion for Oracle, and that there's
going to be a whole lot of capex going
into these names. I think the sell-off
last week of those names was really more
of a
risk management at the big pod shops and
multi strats where we saw that hot jobs
number a Friday ago. We saw a little
tilt in the market and those guys all
lean the same way. So as soon as it
started to undo they had to all undo
together.
Talking to our trading counterparties,
that seemed like what it was really more
than heavy selling. It was really just a
bit of certain guys leaning in together
had to lighten up to manage their net
net books combined with the fact there
weren't a lot of bids as everybody,
myself included, was so focused on how
we wanted to get involved with SpaceX
that I think everybody had their pencils
up this week. I think this weekend we
put our pencils back down and figure out
what we want to buy this week. We
actually bought a couple of the names
today that we were excited about based
on what we had done.
>> Yeah, let's talk about those. What else
do you like there?
>> So so so we bought for example we bought
the two Nvidias.
We bought you know the
the Neo Clouds. We bought Arrian
and so we're we're buying more names in
the the AI space. We also bought a
little Rocket Labs today as well.
>> All right. Well, let's let's go back to
last Friday because that was when we saw
the stumble and arguably the trigger
there was that hotter than expected
payrolls report and it just speaks to
the fact that we have an economy that's
a bit hotter than people expected. You
know, probably good problem to have
probably a good problem to have. But now
there are concerns that the Fed is going
to be raising rates instead of cutting
them and we're seeing one rate hike
already penciled in for the end of the
year. ECB just raised rates. How much do
interest rates factor into your your
models or is that just even too short
for term for you?
>> That's too short term for us. Um so
we're not particularly rate sensitive in
how we think about the world. Although
some of our names because they're high
growth and you have the implied interest
rates in their terminal multiples are in
there.
Um
I would make two points on jobs. Number
one, one of our concerns
earlier in the year is are we going to
destroy consumer jobs faster than we can
replace them. We're not seeing that. In
fact, we're seeing the consumer get
stronger. Those jobs were led by
restaurants where which are a leading
indicator of consumer confidence. That's
number one.
And two, I think that we'll get what I
call as a phantom rate cut, meaning the
data is showing that we probably should
raise. I think the compromise under the
new warsh regime will be we won't raise.
And in this economy with the data we're
saying it probably should be a rate
hike, but I think we won't get them and
it's what we're referring to internally
as a phantom rate, you know, phantom
rate cut.
>> I like that and I might use that. Um
let's talk about the space economy writ
large. What are some of the How do you
see this playing out in the investing
landscape because we've seen uh
initially there was the picks and
shovels trade, we've seen mega cap and
we had the hyper scalar trade. Um but
where is the next leg coming from?
>> So, I think it's a continuation of where
we're at where it's uh you know, kind of
as Jensen says it's a race to see who
can build out the lowest uh token costs
um and the folks investing in that cycle
are are going to have it. You know,
look, we're we're sold out. Uh hence why
we bought the CoreWeave and the Nebius.
Um
you know, there's just not enough
compute power right now and you know,
Elon is going to uh be putting his his
satellites up. It's going to take a year
or two. It's going to take uh
Starship getting perfected, but I think
we're just going to see a continuation
of the ongoing CapEx trade.
>> So, you you hinted at uh the downside
effects of AI which um to a large People
have gotten fired for reasons official
reasons of AI, but we've also seen uh
job creation here. But we also saw the
AI scare trade earlier this year
manifest itself. Software stocks
overall, they peaked in October of last
year and the concern is that AI was just
going to eat all these software
companies' lunch. And I think it was
definitely overblown at the time. But
when you're looking at companies to
invest in in the software space, maybe
what do you what are you looking for
there?
>> So, we're looking at we own a lot of
software and we think some of it's
durable and we think the SAS apocalypse
is overdone. But you really it needs to
be an enduring franchise. You know, we
like Salesforce.
We like Palantir.
We're of the theory that
um
enterprise software rather than being
disintermediated will be the trusted
endpoint into the enterprise. And as
long as you're in that trusted endpoint,
we think
enterprise software still has room to go
here. We think the SAS apocalypse is
well overdone.
>> Any misconceptions out there that you'd
like to clear up? It could be in the
retail space, it could be in the
institutional space.
Like any opportunities there to lean
against what the herd is saying?
>> You know, the the one thing that that we
really look at and and want to
understand and I don't know that I have
a great answer other than just reminding
people that
memory stocks and some of these
semiconductors are really cyclical
stocks. We're we have a cyclical secular
bull
and a big capex cycle, but at some
point,
you know, we we need to all keep in mind
that that semiconductors, especially
memory,
obviously outside of the high IP, right?
I'm not putting a
an Nvidia, I'm not putting into this,
but the the more commodity semi names,
those are cyclicals and as people are
trading them, they need to keep that in
mind.
Ask follow-up questions or revisit key timestamps.
In this interview, portfolio manager Michael Monahan shares his long-term investment perspective, highlighting his strategy following the SpaceX IPO and his bullish stance on AI and infrastructure investments. He discusses market fluctuations driven by short-term risk management, dismisses concerns about interest rate sensitivity, and identifies enduring value in enterprise software. Additionally, he warns investors to be mindful of the cyclical nature of commodity semiconductors despite the ongoing capital expenditure boom in the AI sector.
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