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Data Center Buildout Going Too Far: Bokeh Capital's Forrest
Bloomberg
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2 days ago
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00:00
You're joining us now on the theme of the day, I think.
00:02
It has been all about data centers, whether it's 50 billion coming from Anthropic,
00:06
whether we're thinking about Meta continuing its focus in Wisconsin.
00:10
But why do you think it's too much too soon from the Wall Street's perspective?
00:15
Well, for a lot of reasons.
00:17
Living in a virtual world, as most of Silicon Valley does,
00:22
it's really hard, whatever they have to, you know, go out into the real world and do physical things.
00:28
And that's what we're talking about with data centers.
00:30
We need power.
00:32
We need really kind of exotic.
00:37
They're kind of boring buildings, but they need to be very uniform,
00:41
and there's only certain kind of people that can build them.
00:44
And then we have the demand.
00:46
So I've seen some reports, maybe on Bloomberg,
00:49
about how some data centers that are already established are having problems, you know, selling their capacity.
00:56
So we have a lot of physical world problems.
01:00
But I think my biggest thing is, is I'm not a believer that we really need all these data centers.
01:07
I think human beings are incredibly smart and are going to work around what we're doing now,
01:12
which is the brute force method of training large language models.
01:17
I believe in AI, just not AI as it's presented right now.
01:21
So, Kim, there's the rub, right?
01:23
Because you're not just saying that we've got utilities issues, power issues, supply chain issues.
01:27
You're saying we're going to innovate ourselves out of that.
01:29
Are we going to the United States or is it going to be Asia?
01:31
Well, right now it looks like Asia was first on track with the whole DeepSeq product that they came out with, right?
01:39
We can quibble about if they unfairly used OpenAI to leverage, but they did leverage.
01:47
And that's the most important part.
01:49
They thought out of the box as opposed to saying, you know,
01:52
we need to have the state of Texas be one big data center.
01:55
I'm using hyperbole here.
01:57
But, you know, they thought about how can we do this differently?
02:01
And I think ultimately it's a good race between the U.S. and the West in general and China
02:07
about who is going to be able to come up with usable AI that doesn't, you know,
02:13
break the bank and cost every last dollar that Microsoft, Meta and the rest of them have.
02:21
Kim, you've presented your thesis.
02:23
So as an investor, custodian, fiduciary of your clients,
02:28
how do you invest to support the thesis you've just outlined?
02:33
Sure.
02:34
Well, I think we have to have many options, right?
02:38
We do own some NVIDIA, but we also own AMD, Micron and believe it or not, Intel.
02:47
AI is real and AI is going to have very different needs.
02:50
Kim, sorry, may I just, may I just interrupt you?
02:53
Like the AMD story today, the whole thing is predicated on the idea that they do participate
02:59
in some massive data center build out.
03:01
And you just said we don't need the data centers.
03:04
Well, there's going to be some data centers, but not as many as are planned currently.
03:09
And I think that's the big thing that even, you know, last week's big cha-cha-cha in the world of AI
03:17
was the Brad Gessner and Sam Altman interview where, you know, they're saying,
03:24
where are you getting the money, Sam?
03:25
So, I mean, there's a lot of concern about the whole theory of we need all of these data centers.
03:31
But I think over time we need them.
03:34
But isn't AMD currently trading in a valuation that is pricing in an enormous data center boob
03:39
that will come to light?
03:42
Or are you thinking actually AMD at this price is reflective of perhaps not such a significant build out?
03:49
Well, I am.
03:50
And the other thing is, is whenever we discover that we don't need the brute force method,
03:55
these chips will be instrumental in that, right?
03:59
So I think we're going to deploy money.
04:02
It's just differently than the way we're currently thinking.
04:05
How about that?
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