Exploring the frontiers of Technology and AI
Ejaaz:
This week, every famous investor in America published their investment portfolios for the world to see.
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We're talking about over $200 billion worth of investments across the entire
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AI stack from the likes of Warren Buffett, Ray Dalio, and even our good friend Leopold Ashenbrenner.
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And at surface value, it might look like it's quite bearish.
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They sold a lot of major stocks, including Nvidia and some memory stocks as well.
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But if you look carefully, there's two specific layers within the AI theme that
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they've not only doubled down on, but have increased the pie.
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There's never been more money in the AI sphere before. And we're going to unpack
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all of these and more on today's episode.
Josh:
There was an episode that we recorded on July 31st in reference to Leopold's
Josh:
13F, where we said his next 13F filing is going to be one of the most exciting
Josh:
episodes of all time. And listen, we are here.
Ejaaz:
It's exciting.
Josh:
It's exciting, guaranteed. I will say it's not exactly how we imagined this
Josh:
forecast going, because what we're looking at here is basically a memoritum,
Josh:
how do you say it when someone died?
Ejaaz:
Like Leopold's dead. Moratorium. Yeah. Yes.
Josh:
That's what we're looking at. We're looking at a sheet of paper from a company
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that no longer exists because as we know, Leopold was liquidated tragically.
Josh:
Now, 13 Fs, we might want to start there just so you kind of have an idea of
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what's going on here. Basically, any company that trades
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equities over $100 million must disclose their positions quarterly within 45
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days of the quarter end. So what we're looking at here and throughout this episode
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is what those snapshots look like across all the top investment firms in the
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country and in the world.
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And we're going to try to derive some conclusions from that.
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But to start, we have to go to Leopold's portfolio because everyone's going
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to want to know what were the stocks that he was in that blew him up?
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Because as we know from the previous episode, which if you haven't watched,
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I highly suggest the Wall Street darling no longer owns public positions.
Josh:
And it's because we have some numbers and it looks like the largest holding
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by far was Sandisk and Micron.
Josh:
He was very much memory pilled. I think the tough thing about this is like directionally,
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I think he was correct. He just got totally liquidated, but Sandisk's position
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was 28.5% of the book. He had Micron at 28% of the book.
Josh:
And then, I mean, together, that's over half of the book is in Micron.
Josh:
And then there's Bloom Energy at nine and a half percent. We know how much he was up on that.
Josh:
We have TSMC, Nebius, Core, we have a couple of the neoclouds,
Josh:
and then everything else combines for about 18% of the portfolio.
Josh:
So he was heavily, heavily, heavily involved in these memory stocks.
Josh:
We know he was using some leverage, and it appears as if that's what blew him up.
Ejaaz:
Yeah. So the saddest part about this is probably all of these positions have been decimated.
Ejaaz:
I saw rumors, I think it was reported from Bloomberg about a week ago that he
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now has a casual, you know, 500 to a billion dollar open equity position,
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but the majority still lies in his anthropic stake for now.
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But I think if we look at the Leopold thesis in general, which was doubling
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down on AI infrastructure, particularly in memory and neoclouds,
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That thesis is still very alive and well.
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And let's like pause on the memory position. It's had a pretty rocky month.
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If you remember, I think two weeks ago, we were reporting on SK Hynex reporting
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their best quarterly earnings ever.
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They made more money in a single quarter than they did in the entire year last year.
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But their stock tanked about 20% the preceding week.
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And so the thesis behind that was people thought that memory investors were
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too overleveraged and that we were reaching a top where GPU infrastructure,
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NVIDIA, and all the people that were buying memory could not want to buy more memory.
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Recent news has been revealed from SanDisk over their investing day that not
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only is that not true, but all these major investors that we're going to be
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covering in this episode today have doubled down and bought more,
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especially at the lows recently.
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And also SanDisk in particular has developed this new type of memory.
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It's called high bandwidth flash. And I just want to take like 20 seconds to describe what this is.
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There's a couple different types of memory. There's DRAM, which is like your standard memory type.
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There's HBM, which is your high bandwidth memory, which is specialized for AI GPU specifically.
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And then there's this thing called high bandwidth flash, which is this new thing,
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which was created by SanDisk and honestly dominated by them.
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And it's used for like inference mainly. and inference recently has become like
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the major trend in AI. It's actually consuming so much CapEx spend for the hyperscalers
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from Google, Amazon, and the likes.
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And so SanDisk in particular stands to benefit the most from this.
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And they have this new memory type, which is being ordered or backlogged already into the end of 2027.
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So this is a new revenue opportunity for them. And we haven't seen exceeding
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demand like this ever before. So the point is memory, the memory argument is
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still very strong. And Leopold was right. He just, he was too over-leathered, man.
Josh:
That's the tragic part. is like the thesis is coherent and it still stands.
Josh:
And there was nothing wrong about his positions or his like directional ideas
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of where the market was going.
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He just did it all wrong because he was using improper position sizing and most
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importantly, leverage. I mean, this is what happens when you use leverage.
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Everybody knows this. So I think it's an interesting peek into what could have
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been like directionally, the stock names look strong. It's just the way he positioned
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didn't look nearly as strong.
Josh:
There is another company who reported their 13F this week that I think it's
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worth highlighting who is.
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When you think of the strongest, they're about as strong as it gets.
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These people have been around forever. This is Warren Buffett's Berkshire Hathaway.
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They are always really interesting because they move in a way similar to the
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way Apple does. They move very slow.
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They're normally the last mover. When they do so, they do so with a tremendous
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amount of size and conviction.
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Now, as we know, Berkshire Hathaway is no longer run by Warren Buffett.
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Unfortunately, no longer run by Charlie Munger either. And Greg Abel is now
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at the helm of this. So Greg Abel is the new guy in charge. And he has joined
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Berkshire and has begun deploying capital at pretty high rates.
Josh:
The biggest ad of the quarter, which was 17 billion added, was for Google or
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Alphabet, which was really surprising to see because why would they be buying
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Google instead of buying the memory companies? And I think we have like a thesis.
Josh:
I'll cover the rest first before we get into why.
Josh:
But it looks like they've added 44% of Delta, of Macy's, of Lenar.
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So they're very much moving towards a
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This is kind of like the Joshua Kushner thing where they're like,
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okay, who's been around forever? And then who's going to win on the frontier?
Josh:
And that feels like kind of how Warren Buffett and Berkshire are placing themselves
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here. But the Google thing, I want to talk about the Google thing,
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EJS. Why are they buying so much Google?
Ejaaz:
So I think it's a thesis that you and I have been very fond of for over many years now.
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Google is the only company on earth that owns the entire stack for AI.
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Now, I just want to emphasize how important this is. Like, they're not only
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creators of AI models, but they're also creators of custom GPUs that run and train those AI models.
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They're also creators of the distribution platforms. The number one in the world,
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by the way, you've got Google search. Obviously, you've got Gmail,
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you've got G Suite, you've got Android, you've got so many different Google
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products that distribute to hundreds and hundreds of millions of people every single day.
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So they have the ultimate distribution platform, but they also own all the infrastructure,
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the power that is required to fund all of this.
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And they have amazing amounts of capbacks. I think Google actually this year
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takes the crown for spending the most. I think they're on track to spend around
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$250 billion by the end of the year.
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If Google is the only company that owns or dominates across the entire stack
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in AI, that is an amazing company to own because they can fine tune each of
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the different layers for their particular product.
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So why that's important is let's say you look at Google search data and you
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notice that customers really like buying houses in a specific area at this time
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of the year, they can orient their own AI model to
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Produce and serve up adverts or suggestions to people to shop in a particular type of way.
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And that kind of uniformity or like hyper-specificity is really hard to nail
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down if you are just a model lab creator or if you're just a GPU producer.
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So that's really powerful for the thesis in general for Google.
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Now, my question to you, Josh, is do you think...
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This happened before the fallout within Google. When Dan Sosibis stepped aside,
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Jeff Dean left, I have a feeling it is. So I wonder if they've cut down their
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position since, but I still think Google's a good bet.
Josh:
Yeah, I would bet this happened beforehand. And I would bet that it's also not
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really going to change their mind because I don't think it materially affects
Josh:
the business. In fact, it may be a positive.
Josh:
It's like, I remember seeing this post from a long time ago that was basically
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like, Google isn't taking themselves seriously until they start firing the leadership
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that put them in this position.
Josh:
And I mean, in a way, that's kind of what's happening here.
Josh:
The leadership who put them in this position where they had all the technology
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did not capitalize is starting to rotate and cycle out. There is Fresh Blood,
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who I'm sure is very hungry.
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Sergey Brin is back. He is kind of in wartime mode.
Josh:
And I mean, Google is this remarkably incredible business. And what we're going
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to find as we go through the remaining 13 filings here is that,
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I mean, spoiler alert, the two biggest winners this quarter are Amazon and Google.
Josh:
Everyone loves the hyperscalers. Everyone loves the people who are spending
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huge amounts of CapEx because it's easy for them to project revenues.
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For these newer companies, when they spend a lot of money, it's high risk.
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They haven't proven their revenue over time.
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But in the case of Google, they're projecting unbelievable margins on their Google Cloud services.
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They have the increasing capability of building their own hardware chips,
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like their TPUs and their Ironwoods that they have.
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And they have this entire ecosystem that they've built with a very strong moat.
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And it seems like that's not going anywhere anytime soon. So Google is just
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this unbelievable business.
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Same thing with Amazon. They're companies with huge amounts of capital on their
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balance sheets. They're companies that are spending it.
Ejaaz:
These things are pretty underpriced, man. They're pretty underpriced.
Josh:
On a relative basis, they're not trading at a very high multiple,
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even though they're the only companies with proven track records that are showing quarter over quarter.
Josh:
We're spending all this capex, but look at the returns that we've had on this capex.
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There's this amazing stat about Google and I have no idea what the specifics
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are, but I remember reading it and being like, oh my God, this is so right.
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Where every dollar Google invested yielded say like $2.8 in return or something
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like that, where since, since the inception of the company.
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So when you hear a company like Google, who is one of the best capital allocators
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in the world over the course of the last three decades saying,
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not only are we going to spend a lot of money, because we are so high conviction
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that these investments will pay off in the long run, I think you gotta get pretty
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excited about that because as a capital allocator, there's not many people better than Google.
Josh:
So that is why I presume Berkshire, we see taking a pretty large position in this.
Josh:
But now we have to move over to what feels like a home for us.
Josh:
I think this is the Brad Gershner, the Gavin Baker, the NVIDIA portfolio.
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These are what the companies that I think like, when we think of the companies
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we wanna invest in, this feels most true to me at least.
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The number one holding of all of them, NVIDIA.
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Like $2 billion is just crazy. It's like $1.9 billion they have.
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Second for Brad Gerstner is Cerebrus at $1.6 billion. Then there's Meta, TSM, CoreWeave, ARM.
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Gavin Baker, on the other hand, $4.7 billion position in SpaceX,
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then Micron, Cerebrus, Astero Labs, Siena, and Credo.
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Those bottom ones I don't even recognize, but that's kind of how we could think
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of the top two, perhaps like Twitter traders, the top traders on X.
Josh:
Here's kind of the position that they find themselves in.
Ejaaz:
Yeah, I mean, if I were to bucket these investors in a particular group,
Ejaaz:
it's like the forward looking group, right? They're like the higher risk takers,
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but they're playing with like much bigger capital allocations.
Ejaaz:
It's funny you mentioned the SpaceX 4.6 billion position from Gavin Baker.
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This was his biggest win. I was listening to a podcast of him on the All In show just yesterday.
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And he was basically like, yeah, this is like one of my biggest winnings.
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But like what I'm most excited about right now is the power and optics trade,
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which seemingly is a big theme amongst these particular investors in particular.
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So just to give you a kind of like lay of the land, when you invest in AI,
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the typical names that people look at are things like NVIDIA,
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they look at some of the hyperscalers that were mentioned already,
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which is like Google and Amazon.
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And then if you kind of dig a layer deeper, they're like, oh no,
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all these guys are going to need a lot of memory.
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So you invest in the likes of SanDisk, Micron, SK Hynix, these are names that
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we've already mentioned on the show multiple times before.
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But something that we haven't really opined on is this idea of power.
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So if you have all these expensive GPUs that NVIDIA is making,
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if you have all this memory to make these GPUs,
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you still need power to turn these things on. But also, there is tons of data
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that these GPUs are generating that they need to kind of like transfer between these GPUs.
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And that's something that Gavin Baker specifically has identified really early on.
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And he's winning quite a lot through the likes of companies like Coherent Corp.
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So let me explain sort of very quickly why this is important.
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So if you look at the sector of photonics, which basically means light.
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When you have a ton of GPUs in your data centers, it gets really arduous to
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transfer data between these GPUs, especially if you rack up hundreds of thousands
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of millions of GPUs, which is what Elon Musk is basically doing.
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Right now, the way to transfer data between GPUs is using copper wires,
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and it uses electricity.
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It's pretty good. It's been used for decades now at this point,
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But we've reached a point where there's so many GPUs that it becomes incredibly
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inefficient and cost inefficient as well. So you waste power and you waste a lot of money.
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The solution to this is basically using light. And you heard me correctly,
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like literal light to transfer data. And this solves a problem where it's much,
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much cheaper and you can transfer data at rapid speeds over very great lengths.
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And the only way to do this is through companies like Coherent,
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through companies like GE Vanova, who basically create the materials and the
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kind of tiny infrastructure tools that kind of like latch onto your GPUs that'll
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allow yourself to do this.
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And we've seen this trade become quite consensus over the years so far.
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You look at Coherent Group is kind of like one of the major manufacturers here,
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which Gavin Baker has taken a pretty big position in. And year to date, they're up 85%.
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If you look at this position actually here on our artifact that we have here,
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he's taken a major position in Astero Labs, which helps with the interconnects
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between GPUs. So basically like the plumbing,
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The wiring, the ability to transfer tons of data and information across the
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GPUs is where all the money has been flowing. And it's not just a Gavin Baker thing.
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It is a Brad Gerstner thing. And it is pretty similar across traditional investors
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as well, including like Ray Dalio. So it's cool to see. And I think it's something
Ejaaz:
that I'm keeping my eye on quite astutely, actually.
Josh:
You can kind of see these companies based on their size and their risk exposure
Josh:
going out the curve. Like we have Berkshire, who's right at the core.
Josh:
You're buying Amazon, you're buying Google.
Josh:
Those types of companies are going to be slower more steady growth much more
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stable then there's people like gavin people like brad gerstner they're going
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the next concentric circle out of the sloop they're going to the infrastructure layer
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what is required in order to generate tokens it's optics it's memory it's like
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going further and further out the stack that's kind of what we're seeing with
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them and it has been playing out really well another thing i wanted to mention
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in Gavin's portfolio is that
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he has a huge $2.3 billion.
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Position on QQQ puts.
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And for those that aren't familiar, that basically means he's buying the right
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to own shares of the QQQ, which is representative of the index at the current
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price, meaning it's insurance in the case that it goes down.
Josh:
So I find this interesting too. And we saw this with Leopold's portfolio as well, where everyone
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has this or not everyone, but there are a few people that have this hedge baked
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into their portfolios currently where if the market goes down they can still
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survive they're really just making a very specific hyper concentrated bet in this case on ai hardware
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the infrastructure layer so even if they're wrong even if the market does go down
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but ai hardware still continues to do well they can win and i find it interesting
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that they do have this hedge put in place which is kind of cool there's also
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nvidia which i found interesting
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and apparently they they also filed a 13f because they i mean as a company they
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own quite a bit of things the first one being intel they own 30 billion dollars
Josh:
of intel which is great a pretty large position yeah i mean good good place
Josh:
to be it's funny you think of intel and nvidia as like.
Josh:
Total competitors but nvidia owns like quite a big chunk of change in that company
Josh:
nvidia also has a second biggest holding being spacex which we all know i mean
Josh:
this clearly makes sense spacex is going to
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be exclusively buying nvidia gpus to power all the new data centers then also
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there's core weave there's coherent there's nokia there's synopsis
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there's this interesting thing where there is kind of like the circular economy
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type questions going on we're like okay nvidia invests core we have a nebius
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then they take that capital to buy nvidia gpus which shows up as nvidia revenue
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they have these companies on their cap table that they are investing in and
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therefore collecting revenue from.
Josh:
I mean, at the end of the day, this is kind of the general play from the people
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who are in the trenches in the world of AI.
Josh:
A lot of infrastructure, a lot of those like higher level purchases into Intel,
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into SpaceX, into the neoclouds. That's what they're thinking about.
Ejaaz:
If you are considering investing in this space, the number one North Star you
Ejaaz:
should always ask yourself is,
Ejaaz:
will the demand for AI products, AI tools, AI models be greater 10 years from now than it is today?
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If your belief is yes, then all of these things, infrastructurally,
Ejaaz:
especially involved in physical atoms like GPUs, like energy,
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like power, is all going to be required and going up.
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Now, of course, you need to make sure that you are backing the types of companies
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and builders that are actually going to execute on this.
Ejaaz:
And when I think of like the dummies guide to what to kind of like support,
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I look at NVIDIA's portfolio, essentially, because there's no one better than
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Jensen Huang, who has a much deeper insight as to what is actually being built
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and where the demand actually is.
Ejaaz:
He said on a recent, I think it was like an interview panel,
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or maybe it was like at one of these conferences that he spoke at,
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that people are questioning
Ejaaz:
Whether some of these AI labs or some of these hyperscalers are actually seeing
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demand for the AI models and products that they're offering,
Ejaaz:
like Microsoft and Google, for example, prior to their quarterly earnings,
Ejaaz:
everyone was doubting them.
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Then they released their quarterly earnings. And not only has their revenue
Ejaaz:
gone up like 5x over the last quarter, but they've also seen revenue margins specifically go up.
Ejaaz:
And it's the same trend that you see across neoclouds, hyperscalers,
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as well as some of these CPU companies.
Ejaaz:
So you see his biggest position is a $30 billion stake in Intel.
Ejaaz:
Now, I want to remind everyone that I think it was midway last year that he
Ejaaz:
put a $5 billion investment into Intel to own, I think it was like,
Ejaaz:
what was it, like a 5% stake in them?
Ejaaz:
He invested alongside the US government.
Ejaaz:
And the main reason for that was unclear at the time, but today is very clear.
Ejaaz:
Intel creates bleeding-edge CPUs. In order to orchestrate all these hundreds
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of thousands of GPUs, you need
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things like CPUs to make sure that your AI agents make the right tool calls
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and to make sure that they operate efficiently and fast enough for you to get
Ejaaz:
your answer to your prompt.
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And this is what all of these companies are that NVIDIA is investing in.
Ejaaz:
And you see this collectively across so many of the different funds.
Ejaaz:
They're betting on AI demand just being higher.
Ejaaz:
And if that's the case, then you're going to need more neoclouds.
Ejaaz:
You're going to need more hyperscalers you are going to need way more ai models
Ejaaz:
and you're going to need a way to route across all of them you need the power
Ejaaz:
to like power all of them so this just makes a lot of sense to
Josh:
Me yeah no it's pretty interesting i guess now we could kind of move down to
Josh:
the like the rapid fire versions of just like who who is left here one of the
Josh:
noteworthy investors bill ackman
Josh:
we have uh he is positioning himself mostly in payments which i find interesting
Josh:
his new positions are visa mastercard,
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s&p global and netflix which is a little bizarre and when you think about that
Josh:
one you're like huh why payments and then you think well who did stripe just
Josh:
acquire um it's just acquired open router it's like it turns out payment infrastructure
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is due for an entire overhaul
Josh:
and it seems like if
Josh:
you are betting on that you are almost shorting visa and mastercard uh not buying
Josh:
visa mastercard so i'd love to talk about,
Josh:
why i'd love to ask him like why are you going along these companies when everybody's
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actively working to sabotage and destroy them.
Josh:
Like the credit card providers, for those who don't know, they normally take
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an X amount of pennies and like 2.9%, 2.7% of every transaction, fairly large.
Josh:
And a lot of people are kind of sick of paying that. And it seems like AA agents
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are needing their own infrastructure lay in order to make these payments.
Josh:
So I find the Visa and MasterCard pretty interesting.
Josh:
There's a few other noteworthy ones. There's...
Josh:
This guy, Sam Klarna, who runs apparently $5.4 billion worth of money.
Josh:
His number one is Amazon. I mean,
Josh:
it seems like there's a lot of people in Amazon being the number one.
Josh:
Tiger Global, I think they had theirs as number one. Also, David Tepper,
Josh:
his number one was Amazon. A lot of people are really excited about Amazon.
Ejaaz:
I'm just looking at this and I'm seeing like a lot of confusion.
Ejaaz:
Like you've got Bill Ackman buying all the finance rail companies,
Ejaaz:
but he's trimming Amazon down 25%. Then you got Seth Klarman buying Amazon.
Ejaaz:
On. Then you got Terry Smith dumping Visa, dumping Alphabet.
Ejaaz:
And so I'm like, okay, some of these funds kind of agree with each other. Some of them don't.
Ejaaz:
I think on your point around why Ackman might be buying the financial rails
Ejaaz:
and why Stripe just acquired Open Router, I'm realizing that
Ejaaz:
the whole thesis of plumbing AI, I want to buy tokens and I want to convert
Ejaaz:
those tokens into intelligence that makes my business earn more money.
Ejaaz:
Stripe is perfectly positioned for that. Visa and MasterCard perfectly positioned
Ejaaz:
for that because they already have the distribution to all of these different
Ejaaz:
companies' financial books, right? They're already getting paid.
Ejaaz:
So for them to flip on a switch and say, hey, we can also provide you and serve
Ejaaz:
you the inference for all these different models might actually be really attractive.
Ejaaz:
Maybe that's my tinfoil hat guess, but.
Josh:
Yeah, well, all of these things also require agents. And we're going to have
Josh:
to talk about agents again because of our friend and sponsor Ledger,
Josh:
who is building an infrastructure for agents in which there's a three part solution.
Josh:
If the agents propose, the humans
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approve, the Ledger signer enforces the transactions that are being made.
Josh:
They built this really neat Ledger agent stack that allows you to use their
Josh:
open source tools to work with agents because chances are, I mean,
Josh:
if you're building with agents, you're pretty worried about security.
Josh:
There's been a lot of breakouts from companies like open ai and anthropic recently
Josh:
you want to lock that down you do so with this hardware
Josh:
process that ledger has they work with cloud code they work with codex it works
Josh:
with cursor it's all totally open source for you to try out today and you can find more in
Josh:
the link in the description below thank you to ledger for sponsoring this video
Josh:
and as we get to the final segment of the show we have to make the you have
Josh:
to answer the question like okay what is the smart money actually buying in
Josh:
consensus after going through all these portfolios after seeing all these companies
Josh:
what are the largest winners and losers and we have this really nice chart on
Josh:
screen for those who are watching on spotify youtube wherever you get your videos
Josh:
it shows kind of where everyone's been adding and i see this line down the board
Josh:
of tepper who seems to have added like pretty much everything they're going across the board.
Ejaaz:
He's the new leopold dude
Josh:
Uh it seems like tepper's like really making a strong play into amazon alphabet
Josh:
tsmc power energy neoclouds spacex but what we do see is the most amount of
Josh:
dots out of all of these funds across Alphabet.
Josh:
Everyone's really bullish on Google. People want to own the company that's spending
Josh:
how many hundreds of billions of CapEx this year with how large profit margins
Josh:
in their cloud infrastructure with like a new leadership team that's coming
Josh:
in probably a little more hunger than the old. It seems like this new...
Josh:
Beginning for Google almost. And the hope is that a lot of people can capitalize on that.
Josh:
The next most popular, I guess there's three of them here. It's Amazon, TSMC, and SpaceX.
Josh:
Those all seem like pretty amazing opportunities. Amazon, we know,
Josh:
is pretty much one of the largest mag seven companies for AI exposure.
Josh:
You get AWS, you get the sneaky anthropic stake for the company,
Josh:
and then you get terranium chips,
Josh:
which are all three huge verticals that can play a large role in the earnings
Josh:
of amazon i think people are pretty excited about these large cap companies
Josh:
spacex again goes without saying we have 25 episodes on why they're going to
Josh:
be one of the most valuable companies in the world
Josh:
people are excited about ai data centers in space they're excited about grok
Josh:
getting on the frontier they're excited about the data center build out there's
Josh:
a lot of things to be excited about there and then tsmc
Josh:
It's just buying the picks and shovels, man. Someone's got to make the chips.
Josh:
TSMC is pretty damn good at it.
Ejaaz:
I think when we look at this, it gives you a clear idea of where the consensus
Ejaaz:
of investments are in AI right now.
Ejaaz:
Like you look at Amazon Alphabet, that's not new news from like a couple of
Ejaaz:
years back when these companies were making very heavy capex investments in AI in general.
Ejaaz:
I still think that they have a long way to go.
Ejaaz:
And I don't quite believe people think that AI is going to be as big as they
Ejaaz:
could potentially conceive.
Ejaaz:
Like when I look at Andy Jassy, CEO of Amazon's reports on AWS,
Ejaaz:
I can't help but think that, I can't help but get like incredibly bullish about it because
Ejaaz:
it's not only him making, what
Ejaaz:
is it, like a $200 billion investment this year in AI CapEx, but it's him
Ejaaz:
Showing us publicly, by the way, this is all reported on, the revenue and margins
Ejaaz:
that are expanding for the company itself.
Ejaaz:
So when you look at that and look at the investment, it kind of makes a lot
Ejaaz:
of sense. Bear in mind, Andy Jassy has been running AWS well before he was CEO
Ejaaz:
of Amazon. So he knows the infrastructure in and out the best,
Ejaaz:
better than anyone, right?
Ejaaz:
So when he says things like this, it's very important, I think, to pay attention.
Ejaaz:
Now, if you lower your gaze to the bottom of this stack, it tells you where
Ejaaz:
the money is effectively going to go.
Ejaaz:
It's going to be in things like power and energy. It's going to be in things
Ejaaz:
like payments and memory. Now, memory is already quite a consensus trade.
Ejaaz:
But as you can see, a lot of people got scared after the Leopold blowout.
Ejaaz:
Now, is it just a blot that was based off of leverage?
Ejaaz:
Or have we reached some kind of top that maybe makes no sense?
Ejaaz:
We're going to have to see over the next couple of months.
Ejaaz:
It's my belief that like, memory is constrained by physical atoms.
Ejaaz:
We do not have enough plumbing and chip fabs out there to meet demand going
Ejaaz:
into 2028. I just want to emphasize that
Ejaaz:
All the supply that is available for memory for next year is completely sold out.
Ejaaz:
You've got SanDisk literally inventing brand new forms of memory to be able
Ejaaz:
to serve up demand just to kind of get memory into the hands of AI providers.
Ejaaz:
Now, when you look at payments, this is kind of like a brand new thing,
Ejaaz:
you know? Maybe we'll have a few more episodes in the future about this,
Ejaaz:
but you've got Stripe just acquiring Open Router. You've got Ramp creating their
Ejaaz:
own router. There's a lot of movement in the AI router side of things,
Ejaaz:
and that's a thesis to unpack on a separate episode.
Ejaaz:
And then you have neoclouds and power and energy, which has been the case for
Ejaaz:
so many years at this point, where we have all these GPUs, we're going to have
Ejaaz:
way more GPUs in the future, and we don't have enough power to serve for this.
Ejaaz:
So we're looking into nuclear, we're looking into solar, we're looking into
Ejaaz:
ripping jet engines off planes and trying to like spit it up at the back of
Ejaaz:
a data center, which is what Elon Musk is literally doing.
Ejaaz:
He bought a company to help him do that. And so I think we're going to see a
Ejaaz:
bunch more of these investments, whether it pays out or whether it plays out
Ejaaz:
is something we're going to see over the next couple of months.
Ejaaz:
It's my strong belief that we will but again this could all be a house of cards
Ejaaz:
and a lot of people think so and so i don't want to negate that fact
Josh:
It's also worth noting that these aren't uh specific ai filings for 13f companies
Josh:
like these are just the standard 13fs it just so happens that it seems like
Josh:
a lot of the large funds are investing in ai which is interesting is like if
Josh:
if everyone's focused here is there an edge elsewhere is there some place that
Josh:
other people aren't looking because everyone is seemingly interested in figuring
Josh:
out how this ai trade plays out possibly
Josh:
probably i don't see my voice tesla anywhere come on where's the love over there,
Josh:
but it's interesting it's interesting to think like okay well if everyone's
Josh:
focused on these things is there an edge is there alpha elsewhere that we may
Josh:
be able to extract from the market like it's interesting.
Ejaaz:
No one's holding nvidia josh like some of the like the major company that's making these these gpus
Josh:
Yeah, that was a, yeah, actually Nvidia was missing from most of these, huh?
Josh:
Except for, I believe, Gavin Baker, maybe, has it as his largest holding.
Josh:
I think he's Jensen's biggest bull. He probably owns quite a bit.
Josh:
Warren Buffett's still, Berkshire Hathaway's biggest holding is Apple.
Josh:
And I find it ironic that it's been the biggest holding forever because everyone's
Josh:
just kind of forgot about it.
Josh:
They've moved past it. And yet Apple is currently sitting here,
Josh:
the most valuable company in the world, even more so than Nvidia.
Josh:
So it's pretty interesting to see kind of how these companies structure themselves,
Josh:
see which ones are more nimble, like Leopold, and getting blown out of their
Josh:
portfolios, which ones have been around since the beginning of time, like Berkshire.
Josh:
And they're actually just long, some of these fantastic companies that is now
Josh:
the most valuable company in the world.
Josh:
And perhaps you can use that to kind of gauge your risk tolerance and see where
Josh:
your personal portfolio fits into this.
Josh:
But that is the entirety of the episode today. I want to just thank everyone
Josh:
so much for watching, for being here with us, for hearing about the aftermath
Josh:
of the Leopold blow up i thought this would be exciting for different reasons,
Josh:
but um unfortunately it is exciting because we get to see the final holdings
Josh:
before everything exploded and now what you're looking at is probably the citadel
Josh:
portfolio because they bought the entire thing in a single block of trades so.
Ejaaz:
Which there are about two and a half x just fyi from that
Josh:
Purchase imagine oh my.
Ejaaz:
God two weeks also didn't leopold make like a 500 million dollar private investment
Ejaaz:
I saw his report on like Bloomberg or Reuters or somewhere.
Josh:
Yeah, man, he's down, but far from out.
Ejaaz:
He'll be back. Dude, he's already back. He's back. Where did he get that cash?
Josh:
It's going to, you know, it's going to be really fun. You know what you really
Josh:
need to stick around for is the next Leopold 13F. Because then we'll see what
Josh:
rises from the ashes. It's like, okay, like what is left? Is it going to be zero?
Josh:
Is he even going to have enough money on the balance sheet to be required to file a 13F?
Josh:
We will see. I suspect the answer will be yes. I suspect it is a Phoenix rising
Josh:
from the ashes, a strong comeback.
Josh:
But that's the update if you enjoyed this episode as always uh first thank you
Josh:
so much for watching we really appreciate you sticking around till the end
Josh:
second uh don't forget to share with a friend who might also enjoy don't forget
Josh:
to give us a thumbs up on youtube or wherever you view your podcast eejus any
Josh:
final parting thoughts before we head out of here today.
Ejaaz:
No i uh i'm curious for the folks who are listening who i i get are very investor
Ejaaz:
oriented are there any layers of the stack or if there are any companies that
Ejaaz:
were missed like we would love to to hear about it like leave us in the comments
Ejaaz:
a note, DM us, whatever.
Ejaaz:
We're always looking for like where the edge might potentially be.
Ejaaz:
And, you know, Josh and I have got our rose-tinted glasses on, right? We love memory.
Ejaaz:
We love power. We love NVIDIA. We love Google. So if you have any ideas,
Ejaaz:
let us know. But that I think is it.
Ejaaz:
And yeah, we will see you guys on the next one.