Nvidia faces growth challenges despite strong AI demand

Wealth Mindset
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9 Video Views·Mar 18, 2025
Nvidia (NVDA) stock is in focus as the chipmaker kicks off its annual GPU Technology Conference (GTC) in San Jose, California.
We've got to talk a little NVIDIA, the only member of the Magnificent Seven in the green
pre-market this morning.
It comes as the tech giant's GTC-AI conference kicks off in San Jose, but our next guest
isn't sure that this will be enough to snap the tech route here.
Ahead of CEO Jensen Huang's highly anticipated keynote address tomorrow, we have Maribel
Lopez, Lopez Research founder, for more on what to expect from the conference.
Maribel, thanks for taking the time this morning.
What are you going to be looking out for?
I'm looking out for Jensen's discussion of the next wave of post-Blackwell chips and
how that's going to enable us to get to another higher level categorization of AI beyond where
we are today.
I think that's what he's gunning for tomorrow.
And do you think that that is going to be enough to lead to a significant recovery in
the stock, just given the amount of selling that we have seen from NVIDIA shareholders?
What I see with AI right now is really NVIDIA is the best game in town if you're looking
for investing in AI.
They're the company that sells the picks and shovels.
Everybody's going to continue to buy them for the foreseeable future.
But there's still quite a bit of discussion about how do we get back to really extreme
growth and better margins for NVIDIA.
So I think there's going to be some discussion in the investor community about how do we
navigate that.
And so with that in mind, you acknowledge what is the major consideration for investors,
which is the growth ramp and then the stalling out.
And then the other side of that is, OK, the deceleration.
What type of deceleration are you anticipating here within that growth figure and how that
kind of measures up to some of the investor expectations?
Where we are right now is the Blackwell chip ramp is back on track.
They are actually pulling that in significantly.
It's had some impact on their margins, but they're going to sell through on that.
And they're looking at the next generations.
What we see needing to happen moving forward in this space is there's a 10x performance
improvement that will get us to the next wave beyond reasoning or even more reasoning
within an AI.
AI is talking to AIs.
But that is not a short term growth ramp.
That is not something that you could see really happening in the 2025 timeframe.
That's going to be the next wave in 2026.
So I think it's going to be a rough navigation period in between.
But the reality of the situation is NVIDIA is selling everything it can make right now.
So therefore, have we priced in that everything that they can make right now?
That's a bit unclear.
So we'll have to see how the investors are feeling about do they think that there's more
potential upside to the hyperscalers?
The hyperscalers have been very clear that they are going to build to enterprise demand.
They're not going to overbuild for demand.
So really, I think we won't know the answer to this question until we start to see how
companies like Microsoft, AWS, Google, IBM, how they are actually positioning what's
going on with AI in the enterprise.
And Maribel, I hear you painting sort of a longer term bull case for NVIDIA, but I just
wonder what's going to get us back to the prior all time high that we had in mid
February. Are some of the product announcements and the longer term plans going to be
enough for investors to recover some of what they've lost by holding NVIDIA in the
short term? I think in the post keynote after tomorrow, there's going to be tremendous
enthusiasm for the future of NVIDIA because Jensen does tell the story of how AI will
evolve very successfully.
He's done that in all of his conferences.
But the reality of the matter is we've been very aggressive on NVIDIA stock and we've
been very aggressive as a market on AI in general.
And now we're at that rubber meets the road standpoint where will actual buyers be
buying enough of cloud computing, AI technology to actually keep this wave going?
And I think we've got a good six months where there's still a lag between what we want
to have happen and what buyers are actually buying.
And so considering the run up that we've seen and appreciation in the share price for
NVIDIA over the course of the larger AI theme, is that still the best in class trade for
that theme? If you're looking at AI, they actually are the people that sell AI
technology. Every single hardware vendor is standing up strategies at GTC over the
course of this week to talk about how they're working in with NVIDIA, how they're
putting NVIDIA in their stack.
So I think that they're going to continue to have high sell through on their top line
for their products.
There's no one else in the market that is doing the kind of AI sales that NVIDIA has
been doing. But that's at a chip level.
I mean, everything beyond that is like goes from chips.
Then it goes to cloud. Then it goes to software.
And we are just not at the software level yet.
So right now, NVIDIA seems to be the game to beat.
Another potential catalyst for NVIDIA is quantum.
And we spoke with the CEO of D-Wave about their earnings in their quantum supercomputer.
To what extent do you see quantum computing as a potential tailwind or headwind for
NVIDIA, especially given some of that competition that we're seeing?
Quantum is another one of those categories that fits into more of a long game strategy.
I absolutely believe that quantum will happen.
We've seen tremendous progress from all of the companies that are building quantum this
year, even having said that, most organizations are doing quantum for the research
community. It's a long lead time from the research community out into the general
enterprise. So I don't think that this is really going to be driving significant revenue
growth for anyone in tech for some time.
All right, Maribel, we got to leave it there.
Thanks so much for joining us.
Thank you.
