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Foreign.
B
Today's show is sponsored by tukriem. Looking to diversify your portfolio beyond stocks and bonds? Commodities are getting more and more attention as we enter 2026. Trium's agricultural ETFs offer a way to access the futures prices of essential crops. These funds may help manage inflation risk and add diversification to your portfolio. Ask your financial advisor or explore Tequrium ETFs on your own. Visit tukrium.com that's T E U C R I U M.com Click the link in the show notes for more. All right, guys, welcome to an all new edition of what did we learn on today's show? We are going to attempt to answer one of the biggest questions facing the stock market today. How much more time will investors give the hyperscalers before they turn negative on all of this Capex spending? I'm here with my friends Nick Colas and Jessica Rabe, co founders of DataTrack Research and, and the authors of Datatrek's Morning Briefing newsletter, which goes out daily to over 1500 institutional and retail clients. Nick and Jessica also have their own YouTube channel, which you can find a link to in the description below. Welcome back guys. Good to see you.
C
Thank you, thank you.
A
Thank you for having us back.
B
Oh, it's my pleasure. And I miss, I missed you guys. I know it's been a whirlwind start to the year, but we're, we're back into our thing and what a great topic because Nick, you're making a pretty big pronouncement here. Big tech has 12 months to show that AI is worth it. Do you really think that that's it? The clock is ticking. They have to prove it by the end of this year.
C
The clock's been ticking for a while. I think if you look at the charts on these stocks, they're kind of flat for just not just year to date, but for the last couple of months in the end of last year. So the clock actually started probably October, maybe even September of 25. And so I think I'm being a little bit generous actually about the year timeframe.
B
Okay, and what. Just so we can frame why this matters so much before we get into the details. Why is this so important? Is this going to be. Will we see the referendum show up in the stock prices?
C
Yeah, it's the only referendum that matters, right? I mean really, we'll ultimately decide and we all know the numbers. The big tech. The top 10 names are 35 percent of the S and P. Jessica will go through this, this math, the three names we'll talk about today, Alphabet, Amazon, Meta, or 11% of the S and P. These companies, these stocks kind of define large cap returns. So it's super important.
B
Okay, so you say big tech's business model has changed dramatically in a short period. Why don't you walk us through what you're telling clients about what's happening here?
C
Sure. The way I approach this was the way I looked at auto stocks back in the 1990s, which may sound weird, but auto stocks, auto companies are hugely capital intensive. And so the same kind of analysis you use on them you can use on big tech now, which didn't used to be the case. So let's just start by looking at a couple of tables. The first one we've got is asset efficiency. Asset efficiency is revenues divided by property, plant and equipment. It's an item on the income statement, revenues and an item on the balance sheet, property, plant and equipment. And it shows you how efficient a company is with its physical capital. And the big tech companies used to be very efficient. So on average, Alphabet, Amazon and Meta ran a ratio of 2.2 times back in 2023, meaning for every dollar of capital they had, they generated over $2 in revenues, which is a great ratio. But because they've been investing so heavily and will continue to invest so heavily this year, their asset efficiency is going to be down 42% from 2023 in 2026 and a company like Alphabet will literally be half as efficient as it was just back in 2023. Other ones are 30 or over the last three years these companies have gone from being very capital efficient, kind of low capex for every dollar of revenue to not being very efficient. And I'll give you sort of one kind of scary sound bite. Ford's revenue to PPE ratio is 5x way higher than any of these companies. And Ford is a very capital intensive business. But tech has become even more capital intensive. That didn't used to be the case even three, four years ago. It is absolutely the case now and the direction is very troubling.
B
Nobody would have been able to guess what you just said, that Ford is now more efficient in what is it their revenue versus their capital expenditures, the
C
capital on their balance sheet?
B
Yeah, I don't think anybody would guess that that's the case. Can we go back to that chart so I can ask you about one stock in particular?
C
Sure.
B
I know the one Meta is cheating. Meta is okay, so Meta is committing to these long term operating leases in exchange for someone Else being willing to stand up these data centers, which is rational and I think shareholder friendly. I don't think anyone invests in Meta hoping to own piles of servers. I get it, but are we measuring them using the right yardstick, given that they're doing so much of this, not only building, but financing off balance sheet?
C
Yeah, and you raise a great point, and I'm glad you did, because the numbers that we looked at on that table do not include capitalized leases. This is just a PPE that Meta actually owns. So if you layer on that additional level of complexity, which I agree with you, is smart financing, but also worrisome financing because it's ultimately debt, then you end up with an even more capital intensive picture.
B
Okay, do people ask you specifically about that one? And was that the one that you thought I would ask you about?
C
I thought about you. I thought you'd ask about it because Meta is the only one at less than 1. So literally meta has less in revenues than it has capex, which again, crazy.
B
Yeah. So how do they prove it? What, what would, what would happen? Would the 2027 estimates start to trend back in the right direction, meaning the revenue is now catching up to all the spending that they've been doing? Or what would, what would a successful test look like?
C
That's a great question. Let's go to the next slide, which is profitability. So this is operating cash flow divided by revenues, how many dollars of cash flow they make for every dollar of revenue. And these companies, as we all know, very profitable. So running 34, 36, 39%. Average operating profit margins over the last three years, going to decline this year on average to 34%. So for every dollar of revenue, 34 cents of operating cash flow, that is down 5 points from last year. The margin compression is across the board. And the way you prove anything any investment is worth it is to show incremental margins, to show better margins. So the bottom line is we've got to see profitability begin to increase in 27 because of these investments. It's not just going to be revenue growth, it's going to be revenue growth that is profitable. And that's really the core of the issue. And again, I think we all know this, but it bears repeating. Markets do not like it when margins compress. They worry about competitive advantage, they worry about profitability, they worry about those capex budgets. So seeing margins come down this year, not a great sign. Which is just one more layer on the story of these capex numbers being scary in and of themselves. But Also worrisome because profitability is declining now.
B
Presumably the people making these spending decisions at these companies, they see the same numbers that you see. They may be looking at them differently or thinking about them differently, but the dollar amounts are the dollar amounts. They're doing this for a reason. And I think what they would say is it's not like we have a choice. It's some. Some people have called it a suicide pact. I wouldn't go that far. But you can't be in this group of companies that. And I guess we could throw Microsoft in here too, where you're going to spend materially less than your peers and be able to maintain your market share as all of these workloads move from traditional data centers to GPU stacks and AI data centers. So I think that's like the really important caveat that almost all of them have this plausible way of looking back and saying, well, what choice did we have? Do you see it the same way?
C
It's a very fair point. And let me just make one answer and then go to the last slide because I think it addresses a piece of your question. And I wrote this last night for clients. There is kind of a subtle agency problem going on between the managements of these companies and the shareholders because the shareholders can own a diversified portfolio of stocks and they don't actually care which company wins. What they want is the companies to allocate capital intelligently. The companies have a more existential problem, as you pointed out, because they can't be so far behind, they can't underinvest. And this is the wrap on Apple right now, right? They're not investing enough in AI. Fine. They might just be saying we don't know who the winners are and they'll have to run through our platform anyway, so who cares? We're not going to spend that kind of money. But the rest of them kind of do. And let me go to the third slide that we have because I think it addresses one question I think a lot of people were asking, which is how did these companies come up with the numbers that they are announcing as capex budgets for the year? And the simple answer is they figured out their operating cash flow for the year and they said we're doing all of it. And that is different from the last three years. So for example, back in 2023, these companies spent about 44% of their operating cash flow on CapEx. Then it became 50, then it became 70 last year, and this year Alphabet is going to be 103% meta is 106%. And Amazon spending way more than its operating cash flow at 133%. So these companies basically said, okay, what's the maximum we can spend on this project? And so they went to their budget department and said, hey, what are we going to make in cash flow this year? Okay, we're going to make 200 billion. Okay, cool. We're spending all of it. That's the answer. That's how they got to these numbers.
B
So you say these companies don't really have a choice. They have to do it. Falling behind is not an option in these sort of tech platform shifts. The companies that fall behind never come back. It is existential, but investors have a choice, and this is you. They don't have to wait around and see who wins the science fair. They can reallocate capital elsewhere. And I know we're going to get to that with Jessica now, but that's really the, that's the key thing is that investors could say, okay, maybe they're allocating wisely, maybe they're not. It's too soon to tell. I'm going to put this in the too hard pile and allocate somewhere else while the world figures the answer to that question out. You're probably hearing that more and more from investors as these stocks flatline. Somebody is selling.
C
Yeah, yeah, no, I think that's, that's very well put. And look there. I mean, I want to make one final point and then hand it over to Jessica because she's got a ton of good data on how this rotation is happening. But the bottom line is that investors are a little bit complicit in this bet because they're still awarding these companies huge valuations. And those valuations come from the assumption that they will find the next big thing and make a ton of money off of it. So it's not like these companies are trading at 10, 12, 15 times earnings because their capex process is broken. They're trading at 25 and 30 times because the market's giving them a vote of confidence. So management can tell investors, you're paying us to do this. This is what our stock price implies. We have to do it. There's no not doing it.
B
Yeah, okay, that's a really good point. Jessica, you say equity investors have a stark choice right now. Either stick with big tech as they shift their business model into this hyper investment mode, or go elsewhere. When I look at the stock market on a daily basis, it looks like more and more people are choosing to go elsewhere option. But why don't you tell me what it looks like from your standpoint?
A
Sure, yeah. Just building off what you're, you're saying the stark choice is really they can stick with big tech as it goes through this huge shift in their business models which is taking all their cash flows to execute and hitting margins or they can be good risk managers and park their capital elsewhere as a store story plays out. And really the macro backdrop is so good that they can justify taking, taking incremental risk. And that's proven by the fact that last year's global trade shock didn't cause a global recession. So I have three points on this topic and they're all anchored in the same index based framework and that's that there's over 2200 stocks in the MSCI All Country World Index. So of course it's just too many to evaluate individually. So investors think in terms of bucke have the S&P 500 and then you have rest of world which is the MSCI All Country X US Index or the ETF symbol is acwx. And my first point is that the S and P&ACWX's sector weightings are super different. And we have my first chart if you could please pull it up. The the S&P 500 overweights relative to ACWX are on the top and the underweights are on the bottom. So the takeaway here is that the S and p has a 17 point overweight to tech which is almost exactly equal to its combined underweights and financials and industrials and it's also meaningfully underweight materials. So the S P is structurally skewed towards growth and innovation whereas the MSCI All Country X US Index has a much stronger value and cyclical bias. The S P and ACWX also differ and that the S P is much more concentrated in its top 10 holdings which we have in our, our next table if you could please bring up. Thank you. This is where the S P and ACWX really diverge because as you can see over a third of the S P is in its top 10 holdings and in ACWX that's just 14%.
B
And you let's, let's pause on this. This isn't, this is incredible. So for those listening not watching, the largest holding in the all country world index ex is 4.1% and that's Taiwan semi which you might have guessed. The next largest holding is Samsung which is already down to 1.6%. Then you have ASML 1.6 and then they get smaller from there. Tencent is the last one above 1%. Every other international holding is less than 1% of that index. Contrast that with the S and p where Nvidia is 8, Apple is almost 7, Alphabet 5 and a half, Microsoft 5, Amazon 3 and a half, Broadcom 2 7, Meta 2 and a half. So that obviously you're talking about a lot more stocks in that all country world index universe. Of course, because it's what you say, 2200 versus 500, but that is a massive skew away from concentration.
A
Right? So and that's a great point Josh, because US mega cap tech alone accounts for about 35% of the S P versus only about 10% for comparable names in the rest of world index. Thought now we could move on to my second point. And that's just how dramatic the recent move in non US stocks has been. And this next chart shows the trailing 100 day relative price returns between the S&P 500 and rest of world stocks from 2010 to the present. And since 2010 the S& P has beaten rest of world stocks by about 3 1/2 percentage points over a typical 100 day holding period. And as you can see in this chart, this relationship is asymmetric. And that's largely because of the S P structural outperformance. When rest of world stocks catch up, the rotation tends to happen quickly and violently. So the recent, the recent 11 percentage point move in favor of rest of World over US Large cap stocks is between two and three standard deviations. So it's extremely unusual. But per usual this outperformance came right after a period when U.S. stocks were exceptionally strong, up 10 points or more than one standard deviation in September of 2025. And this next table shows what every investor knows and that's namely that the S P has outperformed rest of world's over the longer term. So the 3, 5 and 10 year annual compounded returns have beaten the S P by four to six and a half percentage points. So this really gets back at what Nick was talking about. In order for the S P to keep its long run edge, US big tech companies need to prove that their AI investments are worthwhile really over the next 12 to 24 months and frankly sooner the better. Because if the three year data starts showing rest of world outperformance, investors may start questioning whether big tech's AI investments have not fundamentally changed the story around US stocks for the worse. And that that brings me to my third and last point and that's that US Stocks have outperformed rest of world over the long term because US companies leverage disruptive innovation at scale and are laser focused on growth and profitability. And the US is also dominates the global venture capital market. Public markets have a stronger and deeper pipeline of disruptive companies focused on monetizing, monetizing gen AI because at the end of the day it's disruptive innovation that drives long run equity returns. And the US markets have a strong bench currently with SpaceX open open AI and anthropic planning to go public this year or next. And we'd rather lean on believing in the track record of American capitalism and Big Tech's history of executing on its goals than assuming, you know, suddenly that's come to an end.
B
I meet with a lot of wholesalers, or at least I used to a lot of wholesalers of equity funds. Different themes, different strategies, styles and whenever you met with the people selling international, invariably they would say when international outperforms the US it's typically not a one year phenomenon. It's usually part of a multi year cycle and if you miss it, you're going to be in big trouble with your clients. When you had that second chart up showing how, how it oscillates back and forth, I mean I guess the thing to say here is yes, it looks like there are some extended stretches in 100 day trailing returns. But like can you speak to the multi year opportunity for the person that says, let me get this straight, all country world just outperformed by what was it, 30% or just went up 30% over the last year?
C
What?
B
Why do I want to buy it now? Why do I want to allocate there now? What's the, what's the historical data driven answer to that question?
A
Well that's a really good point because I think it gets back at the crux of the issue with Big Tech and that's that they really need to prove that their AI investments are worthwhile like I was saying, within the next year or two. Because if not there's such a large part of the S P that they won't be able to mathematically outperform rest of world. So the cornerstone of the American exceptionalism trade is that US stocks outperform over three year cycles. If non US stocks outperform another year, it only gives US stocks one year to make up for those two bad years. And the market has so far, like Nick was saying, given US stocks a long leash. And if AI does pay off, then the American exceptionalism trade will continue through the end of this decade. But if not, there would be such a large paradigm shift that U.S. stocks would likely outperform through the decade because, and this, this kind of answers your question get, gets to what you're, you're asking, Josh, is money has to go somewhere. So if AI doesn't look like it's going to pan out, people are going to look elsewhere and they're going to go to non US equities because of big tech has such an outsized large weighting in the s and P500.
C
Yeah, and I would, I would add to that, Josh. I mean I, I know that argument extremely well. I, I remember working with wholesalers in the 1980s who made exactly that pitch. It's different. The question is how similar are the 2000 and tens to now versus the 80s, the 90s, the 2000s. And I think you have to make the argument that it's extremely different because you now have technology really running the ability to surprise investors to the upside. And that's been the case now for 15 years. And most tech is domiciled in the US if you look at the top those, you know, the top 10 weightings of MSCI Europe versus the US do you want to own Nestle and Roche or do you want to own Amazon and Meta? That's the key question. Japan's got a great run.
B
It depends on if there's an ROI on all the tech spend. I guess that would be how I would answer that.
C
That is the right forward looking answer for sure. But in terms of like if you had to lock your money away, let's put it this way, you lock your money away for five years and you cannot touch it. Where do you want to be? Honestly? Do you want to be MHCI Europe or us?
B
It's so funny. If I'm talking about the, the entirety of those two markets, I think I would obviously answer us. Like 99 out of 100 people I know would probably also say us. But maybe the, the value investor, if there are any left, they would still just say I want cheaper assets and for a five year hold, I'm willing to believe that ultimately somebody will care that this is selling at a discount and they might focus less on why the discount exists.
C
No, I get that, but typically not me. Not me. You know what happens when that trade works is because you're losing less money than you would be in growth, which is a Pyrrhic victory at best. Look, Jessica and I have talked about this like ad nauseam for the last couple of weeks. Just trying to suss this Out. And there is one argument for Europe and that is that the social safety nets are so strong there that you're not going to get the same labor market disruption with AI that you might in the States. Now that blows out the budgets and that increases yields. And so that's a touchy way to think about it. But that's kind of like our best argument for Europe right now.
B
Another argument for Europe is that they are going to look at the example of Japan and actually push through with the sort of massive corporate reforms that triggered a wave of domestic buying enthusiasm for their own stocks. Combining that with the threat that Russia poses to Western Europe, Eastern and Western Europe and all of these fiscal programs and all of these programs around defense spending. And I'm not saying that explains the RE rate for European stocks last year, but earnings growth definitely doesn't because there wasn't any.
C
No, no. I mean the RE rating is. The RE rating was. Well, we have to be careful about this because a big part of the quote RE rating was currency. So the euro was up, call it 10% last year. £ I think might have been up a little bit more. So a good call it third to 40% of the gains that we saw in European stocks as American investors was currency, not underlying fundamentals. The balance of it was probably some rerating because of all the things Jessica talked about. Okay, money's got to go somewhere. So we got to wait out this whole tech thing. Europe is cheap and fine. They're good companies. Let's just go there. The question is forward looking. Look, I mean the dollar could weaken another 5% this year, no problem. And European stocks on dollar terms would do fine. But that's not really the fundamental issue that we're talking about. And the last point I'd make is Japan went through the wilderness for 20 years. I mean I remember studying the Japanese stock market in Chicago and B School in 1990 as this miracle of high valuations and cross shareholders and it was all wrong. And the thing went through 40 years of nothing and then finally started coming back. So I think we have to be careful in the comparison because European stocks in Europe didn't go through that.
B
It's a really great point.
A
I would also just make the point that in thinking about rest of world stocks, yes, momentum is a super powerful factor in capital markets. But just realize like if you want to get in now, you are getting in when rest of world stocks have outperformed by 2 to 3 standard deviations over the S&P 500. That's extremely statistically. Significant. So just realize you're getting in at extreme levels.
B
Okay, so to sum up, this is the big bet that you have to make. If you're going to be long the US or overweight the US Relative to rest of world, you are de facto betting these capex investments are going to start paying off. And in order for them to matter to the stock prices, that has to happen between now and the end of this year. Shareholders are not going to give these companies a leash into 27, 28 in order to be able to prove why this makes sense. Is that where we're landing?
C
Perfect.
B
All right, guys, this has been so much fun as always. And I want to let people know if you guys enjoy learning from Nick and Jessica as much as I do, make sure you're following DataTrek on their YouTube channel and of course, DataTrekResearch.com where you can subscribe and get their daily note. And that's literally daily. They're putting out research every day. And lots of really bright, successful people on Wall street rely on Nick and Jesse Jessica's insights. And maybe you will, too. So by all means, check that out for yourselves, guys. We'll talk soon.
A
Thanks so much.
B
All right,
Podcast: The Compound and Friends
Host: Downtown Josh Brown
Guests: Nick Colas & Jessica Rabe (Co-Founders of DataTrek Research)
Date: February 23, 2026
This episode centers on the urgent, high-stakes question facing US Big Tech: With intense capital expenditure (CapEx) on AI and data infrastructure, how long will investors continue their patience before demanding clear, profitable results? Host Josh Brown, along with Nick Colas and Jessica Rabe, dig into the financial data, implications for markets, and the shifting allure of US versus international equities.
Timestamps: 01:38–02:58; 03:07–06:43
Nick Colas’ Core Thesis:
Staggering Asset Efficiency Decline:
Meta’s Off-Balance Sheet Maneuver:
Biggest Question:
Timestamps: 06:43–09:03
Margins Are Compressing:
No Real Choice for Big Tech—But Investors Have Options:
CapEx Is Consuming All Cash Flow:
Timestamps: 10:44–12:17
Timestamps: 12:17–15:54; 17:06–25:13
Jessica Rabe's Framework:
Sector Differences—Home Bias or Diversification?
International’s Recent Surge:
Why US Has Outperformed Historically:
Timestamps: 18:46–25:39
Momentum & Mean-Reversion:
US Exceptionalism vs. Change in Trend:
European & Japanese Comparisons:
Value vs. Growth Mindset:
“Big tech has 12 months to show that AI is worth it. Do you really think that that's it? The clock is ticking.”
— Josh Brown (01:38)
“Ford is a very capital intensive business. But tech has become even more capital intensive.”
— Nick Colas (04:20)
“All of this CapEx spending ... will we see the referendum show up in the stock prices?”
— Josh Brown (02:22)
“Some people have called it a suicide pact. I wouldn't go that far. But you can't be in this group of companies ... and spend materially less than your peers.”
— Josh Brown (08:23)
“Investors can own a diversified portfolio of stocks and they don't actually care which company wins... The companies have a more existential problem.”
— Nick Colas (09:22)
“If AI doesn't look like it's going to pan out, people are going to look elsewhere and they're going to go to non US equities because of big tech has such an outsized large weighting in the S&P 500.”
— Jessica Rabe (20:17)
“If you're going to be long the US ... you are de facto betting these capex investments are going to start paying off. And ... that has to happen between now and the end of this year.”
— Josh Brown (25:39)
The episode underscores a defining moment for US Big Tech and its investors: AI-driven capital expenditures must translate into clear, profitable returns by year-end or risk triggering a seismic allocation shift and a narrative change about US stock market dominance. With international equities catching a rare wave of momentum, every investor needs to decide: bet on Big Tech’s historical execution, or diversify before the tide possibly turns for good.
Further learning:
Follow Nick Colas & Jessica Rabe at DataTrekResearch.com and on YouTube.