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A Lot Can Go Wrong for Nvidia, Says Analyst Goldberg
Bloomberg
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1 day ago
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00:00
NVIDIA on track to become the first five trillion dollar company as President Donald Trump fuels
00:05
hopes of Blackwell chip sales in China. Jay Goldberg of Seaport Global holds the sole
00:11
sale rating on NVIDIA with a $100 price target saying there's a lot more that can go wrong with
00:17
NVIDIA than can go right. Jay joins us now for more. Jay, welcome back to the program, sir.
00:22
NVIDIA 73 buys, six holds, your sale. Jay, what can go wrong? Well, I think there's a lot that can go
00:31
wrong. There's just not as much that can go right as well, right? NVIDIA is the most scrutinized
00:37
company on the planet. Investors track it down to every detail. Everyone looks at all the supply
00:42
chain data coming out of Asia. We know what their capacity is. They say they're sold out this year.
00:47
They say they're probably going to be sold out next year. Once you're sold out, how do you go up from
00:51
there, right? There's some talk that maybe they got some more capacity, but there's not a lot of
00:56
upside, right? And that's part of the reason China is such a focus topic is because that's sort of the
01:02
one swimming factor quarter to quarter, as opposed to you start to look through the downside risks here
01:09
is AI is, I maintain it's a bubble. No offense to Tony, who was just on, but I think there's a lot of,
01:18
there's only really six companies driving all this spend. And you sort of look through the chain
01:23
of what's going on in the data center construction, electricity, supply chain, the increasingly
01:28
labored financial engineering that's going into putting these deals together. And I just think
01:34
there's a lot of things that could sort of throw a wrench in the works. Jay, what if, though, the
01:40
president of the United States does strike a deal on Blackwell chips? Would that change your mind
01:44
about NVIDIA and the price target? No, I think that's, that's the, that's the big swing factor
01:49
quarter to quarter. They, they wrote those chips off a few, what, two quarters ago. What's going to
01:56
happen with their China, their China parts? I think we all anticipate there's going to be some resumption
02:01
of sales into China. So I don't think that's the, yes, it's, it is some upside, but I don't think it's,
02:06
it's a sort of, I don't think it changes the overall arc here. China is 20% of sales,
02:11
something like that. So. You have a sell on NVIDIA and you think we're in a bubble.
02:15
If you think back to the dot-com era, NVIDIA equals who?
02:21
NVIDIA equals Amazon, right? Amazon went up a whole bunch and then it fell a whole bunch and
02:27
then it came back. And I think that's what we're going to see here too, right? I agree. AI has the
02:31
potential to be immensely powerful and NVIDIA is really well positioned for that. But I think that
02:36
they're going to be growing pains. No technology this big has ever been adopted in a straight line.
02:41
They're going to be hiccups. They're going to be pullbacks. I think it's just going to take us
02:44
a few more years to figure out what AI is actually useful for and what it's good at and what are the
02:48
underlying business models. And there are going to be some, some pretty, pretty serious swings in
02:54
share prices between now and then. If it's reminiscent of Amazon, then at what level would you want to
03:00
get in? Because I imagine everyone listening to this thinks, oh, Amazon, I wish I had bought that
03:04
sometime in the past. Well, buying Amazon in 1999 and then holding it, it probably took another 10
03:11
years for it to get back to that price. So I think there is going to be disruption in the whole AI
03:18
chain. Right. And so I know that any sort of quarter to quarter dips, people will just buy
03:24
into weakness. But I do think there are sort of more fundamental issues here around the adoption
03:29
of AI, how long it's going to take and how some of these deals, how some of these big data center
03:34
things that are baked into numbers, how do those actually get built? Right. What happens if one of
03:38
these major AI labs can't build their data center in time, they can't get the electricity or they
03:47
can't get the funding right? I think that slows things down. I think that, you know, and then I
03:51
think there's risks in consumer adoption. We still don't have a really good consumer AI app. And I think
03:57
at some point, all of this spend has to be justified. And the return on that investment is not entirely
04:06
clear in a lot of these cases. Jay, could you just describe, spend some time on describing what
04:09
that moment of realization would look like when the other 70 plus names get what you're looking
04:15
for? What does that actually look like? Because your price target right now at 100. I just wonder
04:19
what the rest of the market would look like if we came down from 200 to 100. So I probably have to
04:24
review my price target. I'll give you that. But I do, like I said, I think, I think what happens is
04:29
over the next year or so, gravity just reasserts itself, right? I'm increasingly concerned by some
04:37
of the financing that's taking place in some of these neocloud deals, some of these data centers.
04:42
I think that's sort of almost a house of cards in some cases. There are good companies there too,
04:48
but there are just so many of these companies chasing this build. But when you get down to root
04:54
demand, it's all coming from the same six companies, right? And I think if you push those
05:00
companies on what their business case for all this massive spending on NVIDIA parts is,
05:06
it's challenging for them to come up with a clear, coherent business case for it, right? And in that
05:12
kind of situation where they're sort of investing heavily, spending huge amounts of money based on
05:18
some form of fear of somebody else getting to some unspecified destination first, that's a very
05:23
heavily psychologically driven spending wave. And that can, just as easily that came on,
05:29
it can also turn off quickly too. And so I think what we'll see, probably not in this earning season,
05:34
but somewhere in next year, we'll start to see some easing back, some lowering of CapEx.
05:40
And that sort of causes everything to reset.
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