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New Deals Show AI Compute Spend Keeps Growing
Bloomberg
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3 months ago
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00:00
Your top holding is NVIDIA and all Parsley back, but Microsoft's a big one, Broadcom, Alphabet,
00:05
really all of the big winners. Is this playing out as you anticipated?
00:10
Yeah, well, I think that, you know, AI is a huge productivity driver, in my opinion,
00:15
and I think that these companies are really well positioned to essentially capture that
00:20
and be the platforms for, I think, growth in the economy. And, you know, what I'm looking for
00:25
going forward is, like, you know, the new use cases really come through, like agentic AI,
00:31
for example. I think it's, to fill this capacity, it can't just be you and me using Chacham ET.
00:36
It's got to be, you know, thousands of agents for each company, like, making decisions and executing
00:42
and unlocking, I think, labor, essentially, is what I'm looking for, and that's what's exciting
00:47
going forward. It's exciting when you see NVIDIA's name referenced in about three of the compute
00:53
deals just on this Monday alone. But take us to perhaps the one that you don't own. Interestingly,
00:58
you don't have exposure to Amazon and AWS, but it signs its deal with OpenAI. Has there been
01:02
methodology around that, about its own cloud prowess, or perhaps worries about the lack of
01:07
growth that we'd seen in previous quarters, bar from the previous numbers they just reported Friday?
01:13
Hey, well, I think that they had a nice earnings report, and I do think that there seems to be a lot
01:19
more momentum now. You know, you talk about the deal that they just did today, and just
01:24
essentially, like, rolling out a lot more compute and accelerating AWS, I think, is really good for
01:30
the business. I think they're well-positioned to essentially leverage AI in their e-commerce
01:36
business, as well as be an infrastructure provider. So, I don't think you can count them
01:40
out at all, and, you know, it's good to see them, you know, outperforming.
01:44
What's interesting is someone who got beaten up is in the portfolio, which is Meta. And I'm
01:49
interested in on your take of how we're deciding who we reward of capital expenditure and who we
01:54
don't. Yeah, well, I think that, you know, AI is a long-term investment for Meta. And I think that
02:02
the market is probably digesting the, you know, heightened level of CapEx and the depreciation
02:09
that's coming through the P&L. But I think that's a little bit too short-term to view it. And you
02:16
look past that, you know, the returns are there, and these are going to be great investments.
02:21
And, you know, Meta definitely has the digital formats to leverage, you know, AI and a tremendous
02:28
scale across customers. And so, I think it's exciting what they're doing in the SMB segment,
02:34
as well, if it unlocks a lot of ability for, you know, companies to essentially, like, reach
02:39
customers with just a credit card and asking for the ROI from ad campaigns.
02:45
I just want to go to what the president of Microsoft was telling our network a little bit earlier
02:49
today about the risks of under-investing, really, here. We spoke with Brad Smith. Just take a listen,
02:55
Tony.
02:56
Our biggest challenge is not a risk of getting ahead of demand. It's actually keeping pace with
03:02
demand. And what we are finding is that our customers, you know, whether they be enterprises
03:08
across the economy or governments or non-profits, they are looking to us to build out this capacity.
03:15
They want to use this compute. So, for us, if we build it, it will be put to use. As it's put to
03:23
use, there will be a return to our shareholders. You, of course, have exposure to Microsoft, Tony.
03:29
Brad really talking about how they're expanding more geographically as well and investing over
03:34
in the Middle East, not just taking money from the Middle East. And I'm interested in what you
03:38
think about Microsoft's need to depend on neoclouds. We saw them strike a deal with an Australian
03:42
neocloud provider for Texas data centers. Is that something you like to see, that use of their money
03:49
and capital expenditure on neocloud as well as their own?
03:52
Yeah, I think it allows them to be flexible and nimble. I think that standing up these data
03:57
centers is no small feat. And a lot of times it requires various players. It requires the data
04:03
center capacity, the power. And so I think it's encouraging to see Microsoft collaborate with the
04:09
ecosystem and plug in partners. And so to me, I think it makes sense. I think it's also a testament
04:16
to the demand signals they're seeing and kind of the workloads really take off. And, you know,
04:22
I think AI is really hard to do. Not every company that is trying to do it is successful. But I think
04:27
the ones that are finding success are, you know, seeing tremendous promise. And so I think that's
04:31
what essentially gives people confidence to invest here. Confidence to keep adding when we've seen
04:38
runaway performance, not just of NVIDIA at $5 trillion, but another one of your holdings,
04:43
Micron, for example. I mean, significant outperformance. When do you decide that
04:47
you want to cash in, profit take? Yeah, we're all constantly managing position sizes in the portfolio.
04:54
But, you know, in my opinion, I think that you want to be invested in the areas where there is
05:01
essentially a bottleneck. There's scarcity and that performance depends on it. So I think that
05:07
HBM, memory, you know, HDDs and now, you know, NAND, there's becoming more of a shortage. And so
05:15
to me, the industry is getting better and it's a critical component. So, you know, from my perspective,
05:23
there is opportunity for these companies to compound value over time. You are, of course,
05:28
equity focused. But when we have Alphabet selling debt in Europe and the U.S., any of that financing
05:35
of this AI spend give you pause? Yeah, well, I think it's novel. But, you know, you look at the
05:44
cash generation of a lot of these companies, they're really blue chip. And, you know, to me,
05:49
I think that this investment is smart. And to do some appropriate level of debt financing, I think,
05:55
can make sense. In addition, I think that the infrastructure, you know, there's a lot of debate
06:01
of, like, the useful life of this. I know that NVIDIA comes out with a new generation every year. But
06:06
I think that these are longer-lived assets than people appreciate, potentially. And they're not
06:12
just, like, three years obsolescence, but probably more like five or six. And so, you know, in terms
06:18
of the appetite to lend against it, I think that in three or four years, it's going to be more
06:23
commonly accepted. And I think we're probably on the path there. Because these are really, like,
06:27
I think, you know, revenue-generating assets. And there's a lot of productivity coming off of it.
06:33
And, Tony, that productivity, as you started the conversation, is about how we use, deploy
06:37
generative AI. And Palantir is one that really has. But how do they fight also the macro headwinds,
06:43
the government shutdown? Do you have any concerns at the valuations that some of these companies trade
06:47
at? Hey, absolutely. I mean, these are, you know, very elevated multiples. And so, they need to keep
06:55
delivering the growth here. You know, Palantir is definitely, I think, at the tip of the spear in terms
07:00
of implementing AI. I mean, they started doing that in the government. And now, the commercial
07:04
business is growing rapidly. And so, you know, I think the government's shut down. Like, I think
07:10
that's probably a temporary thing. They could get a pass for that just because the government's not
07:15
going to be shut down forever. And, you know, you look forward. I think what really matters is that
07:21
they're driving significant ROI for their customers. And they're able to do it in a way that connects
07:26
their data. And I think that's, like, the change in IT services is, I think, that you need to come
07:33
with a solution and the engineers to help your customers instead of implementing, like, a SaaS-based
07:39
off-the-shelf solution. So, I think that's what's exciting. And, yeah, we'll see later on today.
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