In short
Datatrek’s Nick Colas and Jessica Rabe discuss why the U.S. has been unusually recession-resistant for ~16 years, what that implies for earnings, credit spreads, volatility, and AI-driven hyperscaler capex, and whether tech (especially semis) may underperform after extreme outperformance.
Guests
Nick Colas and Jessica Rabe are co-founders of Datatrek Research and authors of Datatrek’s Morning Briefing (daily to 1,500+ clients). They also run a YouTube channel. Colas has decades of market/recession coverage experience (autos/cyclicals noted).
Key claims
“This time is different” because the economy is more services-based, less energy-intensive, better managed/tech-enabled, more flexible labor markets, more responsive policy, and higher baseline government demand. Markets price stable earnings/cash flows, keeping VIX below ~20 and credit spreads near multi-cycle lows. AI capex is supported by perceived stability; tech’s near-term relative returns may mean-revert.
Notable examples
Auto inventory cascade (dealer 60 days inventory doubling if demand drops 50%); 1990 recession linked to oil shock; 1999 tech/ISP vs suppliers; 2000 tech break driven by Fed hikes; tech’s June 2 extremes (6+ standard deviations) and historical post-extreme mean reversion; semis’ 90-day earnings estimate revisions (semis +36.5% current/next vs MAG-8 +7.5%/+4.8%) and valuation gap (ex-Tesla semis ~52.5x vs MAG-8 ~25.9x).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOKey Question for Investors
0:16 to 1:13
Discussion on the significant question regarding CapEx spending in the stock market.
“for their clients, but not all ETFs are built the same.”
Key Question for Investors
2:02 to 2:30
Discussion on the significant question regarding CapEx spending in the stock market.
“Yeah, no, always, always my pleasure and a treat for the audience.”
An Unprecedented Economic Period
2:30 to 4:39
Exploration of the unique nature of the US economy and its recession history.
“You broadly agree with that idea, I think.”
Reasons for Economic Resilience
4:39 to 10:00
Analysis of factors contributing to the US economy's resilience against recession.
“And so the big takeaway is something feels different.”
Implications for Investors
10:00 to 14:00
Understanding how a stable economy impacts earnings, cash flow, and investment decisions.
“spending, and we're able to pull it off without a higher cost.”
The Impact of Capital Investment on AI Growth
14:03 to 15:10
Explore how a stable macro environment influences heavy capital investment in AI.
“A stable macro environment does allow for much heavier capital investment among public companies and private investors.”
Understanding Inflation and Recessions
15:10 to 17:19
Learn about the historical relationship between recessions and inflation rates.
“The first is strong equity returns obviously widen the wealth gap, which is a huge topic right now.”
Policymakers and Economic Resilience
17:19 to 19:39
Discuss how U.S. policymakers react to economic shocks and their strategies.
“Is the right way to sum that idea up that we are recession resistant, not recession proof.”
Transition to Tech Market Performance
19:39 to 19:51
Transitioning the discussion from economic factors to tech stock performance.
“Well, just generally speaking, if you think we should move, let's move.”
Tech Stock Performance Analysis
19:51 to 23:59
Analyze the recent performance of tech stocks compared to the S&P 500.
“Yeah, let's launch into the next section, just looking at time here.”
Show all 16 chapters
Earnings Revisions and Sector Rotation
23:59 to 27:35
Examine how earnings revisions influence tech sector performance and potential rotation.
“You could get into a market environment where healthcare and financials, which are two pretty big sectors, obviously not as big as tech, but all of a sudden people just have a preference for those stocks for six months.”
CapEx Spending Trends in Tech
27:35 to 28:00
Review the trends in capital expenditures among tech companies and investor confidence.
“cause this rotation, or if investors first want to hear what the hyperscalers have to say on Q2 earnings calls.”
Investor Sentiment and Stock Performance
28:00 to 29:56
Explore how investor confidence impacts stock performance, particularly in tech.
“dominant story in 2025, so far throughout 2026.”
Lessons from the Dot-Com Era
29:56 to 31:28
Discuss the shift in leadership during the tech bubble and its implications for today.
“So the Commerce Ones of the world that had a whole different way of playing, you know, the internet and the value of the internet.”
Examining Historical Trends in Tech Stocks
31:28 to 36:22
Analyze historical data on tech stock performance following market downturns.
“And it was like a new phase for the internet bull market.”
Acknowledging Expert Insights
36:22 to 36:58
Recognize the valuable insights provided by the guests regarding market trends.
“There will be more pullbacks like in any bull market, but we do continue to treat them as buying opportunities.”
Transcript
Automatic transcript. May contain errors.0:13Jessica Rabe:This episode is brought to you by Federated Hermes. Active ETFs are changing the way portfolios are built, giving advisors more flexibility for their clients, but not all ETFs are built the same. Federated Hermes puts the investments in their active ETFs through a ruthless vetting process, gaming out a wide range of market scenarios so only the strongest survive. The result, a suite of 12 active ETFs spanning the full stock and bond market. Whether you use them as core building blocks or tactical allocations, you'll get the strategies you want in a convenient ETF wrapper. Simply put, Federated Hermes has the active ETFs to help you build portfolios designed to last because they've been vetted for it.
0:52Jessica Rabe:Explore the full lineup at federatedhermes.com. slash US. ETFs are subject to risk and may lose value. Federated Securities Corp distributor, before investing, carefully consider the fund's investment objectives, risks, charges, and expenses. Read this and more information in the prospectus or summary prospectus available at federatedhermes.com slash US. Welcome back to an all new edition of What Did We Learn? On today's show, we're going 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 CapEx spending?
1:30Jessica Rabe:You guys, I actually think this is the question because this is where all the earnings growth is coming from. Okay. I'm here with Nick Colas and Jessica Rabe, my friends and the co-founders of Datatrek Research and the authors of Datatrek's morning Briefing newsletter, which goes out daily to over 1 ,500 institutional and retail clients. Nick and Jessica also have their own YouTube channel, which you can find a link to in the description below. Guys, welcome back. Somehow it's halfway through the summer. Hope you're enjoying yourselves. So far, so good. All right.
2:05Josh Brown:Thank you for having us back.
2:06Jessica Rabe:Yeah, no, always, always my pleasure and a treat for the audience. So Nick, we're going to start with you. So I guess the headline is this time is different, at least a little bit. But this framing of this being the biggest question facing investors, I really think this is the key to the second half. If we think that all of a sudden CapEx announcements and actual spending are not going to be greeted with the same amount of enthusiasm as they have been over the last couple of years, it changes an awful lot about what we think will work in the stock market and what we think may not work. You broadly agree with that idea, I think.
2:53Nick Colas:Absolutely. Okay. I couldn't say better myself. All right. So tell us what we need to know. Okay. So let's pop up the first slide because this is kind of a three-point discussion. And it really goes back to something we've been talking about with clients for the better part of one to two years now. And this is really underpinning not just the CapEx question, but literally every single important part of the market, including valuations. So let's just dig in right into it. The title of this first slide is, This Time is at least a little bit different. And the framing here is, over the last 15 years, we've had a recession in the U.S.
3:28Nick Colas:for just over two months, 1 % of the time during the pandemic crisis. In the prior 15 years, we had recession 14 % of the time. In the 15 years before that, it was 13 % of the time. So we have had literally no recession for the better part of 16 years now. And that is highly unusual. Aside from two months into the pandemic, which we'll put an asterisk on, it's been a remarkable long string of growth. And it's not like we didn't have a lot of reasons for the economy to go into recession. 2011 Greek debt crisis. 2015 global growth scare. 2018-19. First, you had a Fed policy mistake and then you had tremendous tariff and trade uncertainty.
4:08Nick Colas:21-22, an inflation surge. 22, again, the oil price spike from the Russia-Ukraine war and 500 basis points of Fed rate hikes. 2023, regional bank failures. 25 and 26, huge trade policy shock last year and an equally huge oil shock in Mideast war this year. I've been doing this 30 plus years. I can tell you any one of those would have snapped us into recession literally overnight over any one of those catalysts. And yet we didn't have a recession. And so the big takeaway is something feels different. And I covered the autos. I covered cyclicals in the 1990s. And I was acutely aware of recessions.
4:48Nick Colas:I studied recessions. We looked at it from an industrial standpoint. And this period feels very anomalous to someone like me who's been doing this such a long time that that recession framing kind of stopped working. And the question is why. So let's pop up the second presentation slide. There's a lot of possible explanations for this. And I'll just run through, I think, what is the most likely five or six. And they combine up to probably a pretty good answer. The first is we have a very services-based economy in the U.S., much less cyclical than the old manufacturing economy that we had in the 70s, 80s, and 90s.
5:22Nick Colas:We transitioned to services. Services are less cyclical. People need to have their hair cut and need health care and go to restaurants much more than they do need to buy a car or a house. Secondly, the U.S. economy has become a lot less energy-intensive.
5:37Jessica Rabe:Wait, Nick, can we back up on that first one? Absolutely. Chart off for just a moment. Let me ask a follow-up question. Yeah. It is absolutely true that a services-based economy is less cyclical simply because the overhang of high inventories in an industrial, more production-based economy is the thing that tips you into recession. When people stop ordering more parts or more finished equipment or whatever it is, they start discounting what they have. Profits fall, employment falls. There's like a whole daisy chain of things that flow from that. If we're less reliant on physical sort of inventories, it takes away one of the key drivers of what starts a recession in the first place.
6:29Jessica Rabe:Do I have that? Is that the right cause and effect?
6:31Nick Colas:It is, and I'll give you a little sort of auto framing for that. So the typical dealer keeps 60 days inventory on the lot because they know that customers want to come in and buy a car right away. So you get 60 days inventory at a certain selling rate. That selling rate goes down by 50%. All of a sudden, you have 120 days of inventory, and you stop ordering from the factory because your dealer lot is already full and now over full, given the level of demand. That reduction in production means immediate layoffs at the automotive level, not just at the assemblers, but all the parts companies, all the suppliers around them.
7:03Nick Colas:And it cascades extremely quickly. In the 1990 recession, you saw initial claims go from 300 to 500 a week in a matter of weeks after Iraq invaded Kuwait and oil prices spiked. It's an immediate effect.
7:16Jessica Rabe:Suppliers don't wait. They don't wait to see, ah, maybe this is just a dip. They say, we have too many people.
7:24Nick Colas:Yes, we have too many people. We are spending too much on CapEx. We don't have the cash to spend on CapEx. Every auto supplier I covered in the early 90s was close to bankrupt. Chrysler was essentially bankrupt, all because of an oil price spike. That was it. That was the whole story. It was amazing.
7:40Jessica Rabe:Okay, let's go back to the slide.
7:41Nick Colas:Okay, so less energy-intensive economy. These oil shocks cause recessions less frequently. Now, my personal theory is that U.S. companies are also better managed. They use technology more effectively and more efficiently. it's just a better managed system. And on top of that, U.S. workers are now more educated, better educated than in past decades. They have greater mobility. So if they lose a job, they're more likely to find a new job. At a more macro level, fiscal and monetary policy has become very responsive to shocks. And the latter, monetary policy, corrects really quickly. So Powell made a huge policy mistake in Q4 2018.
8:15Nick Colas:He reversed course literally January 4th, 2019, because he saw the VIX go to 36 and the stock market do an immediate bear market. He knew he was wrong. So that's another one. We have a tech-enabled gig economy that acts like a buffer, a bit of a buffer now for the labor force. So if you lose your job, you can get a gig job until you find your next full-time job. And then finally, and I think a lot of folks watching this will be waiting for this point, so let's give it to them. U.S. government spending has created a lot of incremental baseline demand. Deficits to GDP run at 6 % now. They ran at 3 % from 1979 to 2010.
8:51Nick Colas:So there is more government spending providing a baseload for the U.S. economy. And that's an important feature. I would, however, add this has had no effect on interest rates. Ten-year yields right now are the same as they were in 2002, 2003, 2004, when deficits were 60 % of GDP or budgeted. The entire debt load was 60 % of GDP versus 122 % now. So it's not like the market's making it pay a lot more.
9:16Jessica Rabe:It's sort of like a magic trick. We are spending at twice the level in terms of deficit to GDP, and yet the rate at which the government can borrow is unch. And that – I guess they call it a deus ex machina. So when the ancient Greek playwrights had difficulty coming up with an ending, they said, oh, and then – Apollo comes down. Right. Athena pops out and saves the day. And it's like, all right. So we've sort of had this slow rolling deus ex machina in the form of problem in the economy, no worries, more government spending, and we're able to pull it off without a higher cost. And we don't know if and when that changes, but I think that's a big one, even though you saved it for last.
10:11Nick Colas:Yeah. And I would say, very fair point about the day of six, I'm not going to ending an excellent high school classics education going on there. That's when I learned it too. But I would say that it is predicated on all the prior points on that bullet, on that chart. It is predicated on an efficient economy, a strong economy, an intelligent economy, a flexible economy. It isn't just, oh, we're going to become Zimbabwe, which was the old thing that people used to say about high deficits. This is a a very robust, large, systematically important economy, and it runs pretty well.
10:43Jessica Rabe:One last follow-up question. U.S. companies are better managed and use technology more effectively. In my opinion, of all the things on your list, this is the most underappreciated point. Like, we look at science and technology and all of these areas where there have been advances over the last 50 years. And it's just a given that we like sort of agree things have gotten better in how we build buildings, how we build infrastructure and bridge. Why can't we agree that executives today have had the ability to learn from the lessons of executives in prior decades and not make the same mistakes? Why can't we agree that the science of management, even if you think it's a quasi-science, like the executives in the 1950s, 60s, 70s didn't have the same literature to learn from that the executives of the 2020s have.
11:44Jessica Rabe:And they can see things that were not smart to do, and then they don't do them. They make other mistakes. And they'll make new mistakes.
11:53Nick Colas:I think people conflate the fact that the average CEO is on a job for like four years before they're fired with the idea that management isn't any good. In fact, management is quite strong. And I agree with you. I would argue that is better than it was 20 years ago. I see it just in covering industrial companies. It's better. The CEOs of the big three are better now. They still face a horrible industry, but they're better than the old ones. I think it's just people get confused when they see, oh, the CEO got fired. He must have sucked. Therefore, management sucks. So it's not that way.
12:24Jessica Rabe:On average, they are better than their counterparts of a generation or two ago. Yes. And part of that is because they've been able to learn from the past.
12:34Nick Colas:Yes. And embrace that knowledge. Final slide. Why all this matters, because this is obviously the linchpin to the whole discussion, and it feeds directly back up to your CapEx point at the beginning, Josh. What this means for investors, markets, and policymakers, the most important thing is a steady economy equals steady earnings and cash flow growth. That's the way it works. So we have very stable earnings growth. We have very good earnings growth right now, plus 20 % in the middle of the cycle, which is amazing, which supports high valuations. This is why the S &P is at 20 times earnings. It is not a function of some irrational exuberance.
13:08Nick Colas:It is a function of the market looking at the last 15 years and saying, earnings are pretty steady. We can pay more for them because we're not going to be disappointed next year with a big recession. It also depresses corporate credit spreads. So current investment grade spreads and high yield spreads are at multi-cycle lows. They're in like the 1th percentile. So the bond market is also saying cash flows are more stable. Secondly, it feeds long-term volatility that's below average. The VIX consistently trades below 20, which is its long-run average. And it goes there very quickly after a shock because this underlying bid, based on a stable economy and stable earnings, supports stock prices.
13:44Nick Colas:It also creates this buy-the-dip mentality feedback loop that we see among investors, not just retail but also institutional. You can buy the dip if you have confidence the economy is going to stay okay. You can't buy the dip if you don't. And that's why buy-the-dip has become such a mantra in the last five, ten years because of the stability. Now, getting to the CapEx point, this is super underappreciated. A stable macro environment does allow for much heavier capital investment among public companies and private investors. And that is the entire source of the current AI CapEx cycle. We would not be investing this much in AI if the hyperscalers looked at their businesses, which are all cyclical, right?
14:22Nick Colas:They all rely on the economy and said, oh, we have to budget an incremental 20 % cash because there could be a downturn in the next 12 months.
14:28Jessica Rabe:They're not right. They're not thinking the way the CEO of an industrial corporation may have been thinking 25 years ago. It's a totally different mentality. they're looking at a situation where yes there are still going to be ups and downs but not the unpredictability of the 70s the 80s it's just a and let's be honest many of these people weren't even alive then who are making these capex decisions that's true
14:56Nick Colas:and you know that's the bear case like oh they haven't seen a recession like okay fine but there hasn't been one and that's the more important point they haven't seen one because we stopped having them So back to the slide to finish up this thought. Two cautious points. The first is strong equity returns obviously widen the wealth gap, which is a huge topic right now. If you are fortunate enough to have saved a lot, earned a lot, saved a lot, and invested wisely, you're compounding reliably at 10 % a year. You're doubling over seven years. Anybody who can't invest, doesn't have the cash flow to invest, doesn't have that compounding, and the wealth gap increases.
15:36Nick Colas:And the final point, which is kind of where I started my thought process creating these slides, because I was thinking about Kevin Warsh giving testimony this week to Congress, his first Humphrey Hawkins. He inherits an economy with an amazing proven resilience against shocks, but also one that is prone to creating a lot of inflation more than the Fed's target because underlying demand stays strong. The easiest way to get inflation down is to have a recession. It always happens. It's why we have a 2 % inflation target in the first place, because typically a recession causes a two-point decline in inflation.
16:06Nick Colas:That's the 2 % number.
16:07Jessica Rabe:Is that right?
16:08Nick Colas:Yeah.
16:08Jessica Rabe:That's where that comes from.
16:10Nick Colas:That's where that comes from. Yeah. And the desire not to be Japan, not to have a Japan...
16:15Jessica Rabe:Because I always thought it came from, well, 3 % would be too much, but 1 % would be too little. So two? So two. It's good to know that there's more to it than that.
16:30Nick Colas:Yeah, I've done the math a bunch of times for our clients. And you go back to every recession, back to the 50s, and you get about a two-point decline. More in a bad recession, less than the even one. But 2 % is on average, right? So you add 2 to 0, you get 2. Okay. So one final look at that slide just to finish this up. So Kevin Warsh inherits an amazing system. His job, one, has to be don't screw it up. His job, two, has to be figure out how to get inflation down without actually pushing so hard. You do create a recession. So the bottom line here is this time is truly different. measureably different in many good ways.
Read the full transcript
17:05Nick Colas:It's helped a lot of people, but it doesn't make them more predictable in all ways. And so it's not like, oh, this time is different means that we're just flying into a bunch of denial. What it means is that it's different, but it's not more predictable.
17:19Jessica Rabe:Okay. Is the right way to sum that idea up that we are recession resistant, not recession proof. So you can go swimming with a water resistant watch. You shouldn't go scuba diving. And at a certain point, there will be an exogenous shock that does tip us all the way over. That's the unpredictability. But like almost by definition, it'll be an unknown unknown. And it's probably not going to be the type of thing that we used to say is consistent with sort of like a plain vanilla recession from the past, which we seem sort of impervious to. Yes.
18:01Nick Colas:Is that fair? That is fair. And I think the market also thinks that policymakers will step in extremely quickly if there is a shock, as they did in 2020. Monetary policy, fiscal policy, there is a very strong policy put, a proven policy put. And the U.S. policymakers have a very long track record, an increasing track record of doing it very aggressively and very quickly.
18:23Jessica Rabe:Well, yeah, we had a rehearsal and we had like a fire drill in 2023. They just changed the law. They didn't even vote on it. One day we had an FDIC limit of$250 ,000 for a deposit account. And then the next day it was unlimited and there was no discussion. We just policymakers came in and said, what's the problem? There are five banks where people have way too much money deposited and there are a run on those banks. OK, here's the solution. All of those banks are fine. All of those depositors are fine. And there is no FDIC limit. It may be a stated limit, but we're going to put those banks through a process and they'll be insolvent.
19:10Jessica Rabe:But the depositors will not be. And that just became what it is. And, you know, it's not the Fed or not just the Fed. That's basically the FDIC. And so every agency is thinking this way. And so there are solutions to problems that we never before thought could just spring up, but then they do. Yep. Exactly right. Okay. All right. Very, very helpful. Jessica, what's your take on this idea?
19:41Josh Brown:For my next section? Well, just generally speaking, if you think we should move, let's move. Sure. Yeah, let's launch into the next section, just looking at time here. Okay, so last time we were on, on June 8th, we showed that tech had just outperformed the S &P 500 over a 50-day window to a statistically extreme degree. And we flagged that as a warning sign for the audience. And that was right. Good call. Thanks. Since then, tech has underperformed S &P by 1.3 percentage points since we were on. So say we thought we'd update that chart and then talk about what we expect for the AI trade in the back half of this year.
20:26Josh Brown:So just starting with that updated chart, which shows rolling 50-day price returns between the S &P 500 tech sector using the XLK ETF as our proxy and the S &P from 2015 to the present. When the blue line's above the x-axis, techs outperform the S &P by the point shown on the y-axis. So getting straight into it, you can see on the right of the chart that tech beat the S &P by 29 percentage points over the prior 50 trading days on June 2nd, which was over a six standard deviation event and the most extreme reading in this data set by a wide margin. And since then, the tech sector is down 6.3 % versus a loss of 60 basis points for the S &P, lagging by a total of 5.6 points, again, since it got to that extreme on June 2nd.
21:13Josh Brown:But we also think it's constructive to look at tech's 100-day returns versus the S &P. We also have that chart all the way back to 1999. So that's about four and a half calendar months. So it's long enough to smooth out daily noise and consider structural returns across several market cycles. So you'll see also on the right side of this chart that tech outperformed the S &P by 25 points over the prior 100 trading days, again, on June 2nd. And that was over three standard deviations above the 27-year average of 1.2 points. And it's only happened 0.7 % of the time over this timeframe. So it's very rare.
21:58Josh Brown:And we can look at the last two readings we saw to kind of help frame what could happen next. So the first was 41 instances from December 1999 through April 2000. tech's average outperformance reached 30.9 points. And every single time, the following 100 days saw tech underperform and by an average of 10.8 points. And then the second was during May and June 2023, a much smaller sample at just three instances. And the pullback was mild under one point, but that's because it was right off the 2022 bear market lows. And just as excitement around AI was taking hold with the launch of ChatGPT. So overall, we think the lesson here is that what actually broke the back of tech in 2000 wasn't valuation.
22:49Josh Brown:It was the Fed. So we had sequential hikes in February, March of that year, then another 50 basis point hike in May. And that pushed policy rates to new cycle highs. And today, of course, new Fed Chair Warsh has struck a notably hawkish tone, and 2022 already showed us how brutally a hiking cycle can reprice high multiple growth names. Of course, we do have a solid labor market that remains the offsetting factor to that, but we obviously need to flag it as a key risk here. So overall, we do remain long-term bulls on U.S. large cap tech. But at these statistical extremes like we flagged last month, believing in further strong near-term gains, we think is betting against us 27 years of history.
23:36Josh Brown:So the way we frame it is 100 trading days from June 2nd when tech hit those extremes takes us through about late October. So we think it is reasonable to expect tech's relative return to pull back closer to its longer run average of 1.2 points over this period. And that may feel like a tech bear market, but we do think it is a healthy pause in a longer secular story.
24:04Jessica Rabe:And it's relative.
24:06Josh Brown:Yeah. It's relative. Good point.
24:07Jessica Rabe:You could get into a market environment where healthcare and financials, which are two pretty big sectors, obviously not as big as tech, but all of a sudden people just have a preference for those stocks for six months. Doesn't mean tech has to fall 20%, but you could just see relative underperformance and it would satisfy the mean reversion that that chart that you showed implies.
24:34Josh Brown:That's an excellent point. Yes, it's on a relative basis. You're very good at this. Really? You are. And that actually leads into my next point very well. So in the meantime, yeah, we agree. We think there will be rotation within also tech from a mechanical more so than a fundamental perspective. So if you just throw back up that graphic, thank you. So to set up this discussion, this graphic compares the MAG-8 and the S &P 500's top five semi-stocks by their weightings. sell-side analysts' 90-day earnings estimate revisions, expected earnings growth valuations, and year-to-date returns. So just go through it pretty quickly here.
25:16Josh Brown:Over the past 90 days, the MAG-8's current and next year EPS estimates increased by an average of 7.5 % and 4.8%. But for the top five semi-names, they're up an average of 36.5 % and 33%. So that's nearly five and seven times more. And this was not just one or two names carrying the groups. All five of the largest semis saw double-digit upward revisions to next-year estimates. And that momentum is also showing up in earnings growth expectations. The MAGATES implied EPS growth over the next year averages 23%. For semis, it averages 61%, so nearly triple. And then naturally, that's introduced a valuation premium for most of the semi names.
26:02Josh Brown:So excluding Tesla, the MAG-8 trade at 25.9 times forward earnings. Semi's average 52.5 times. And that's an almost 27-point premium over the MAG-8. It's a double. Yeah. It's a double. Yeah. And the stock prices already reflect all of this, too. So the five semi names are up an average of 168 % year-to-date. The MAG-8 is up just 4.5 % year-to-date. So our takeaway here is that earnings revisions have been the entire story this year, the single thing separating winners and losers inside tech. But after triple digit advances this year for all the S &P's top five semi names, the bar for them to keep outperforming is just far higher than it was six months ago.
26:50Josh Brown:So and some of these valuations like we just showed now sit well above the MAG-8. So we do think the logical call here is to expect the second half of 2026 to see tech's year-to-date laggards play some catch up. Once again, this is more mechanical than fundamental. But the more a handful of names run, the more concentrated any tech portfolio becomes in them. And the more likely that money needs to stay in tech, the more likely that money needs that money that, sorry, the more likely that the money that needs to stay in tech starts spreading into other names with lower valuations and decent fundamentals.
27:25Josh Brown:And we do think the MAG-8s collectively lower multiple combined with still solid expected earnings growth is the obvious place to go. The only question is whether valuation alone is enough of a catalyst to cause this rotation, or if investors first want to hear what the hyperscalers have to say on Q2 earnings calls.
27:47Jessica Rabe:All right. So the obvious question here then, and this gets back to the original question, we actually have seen less enthusiasm for the types of CapEx spending that was the dominant story in 2025, so far throughout 2026. The stock prices of the spenders are not reacting to the upside. And in many cases, like Meta and Oracle, we're starting to see some limitations being considered based on stock price alone. These companies are being told by Wall Street, we're not convinced that continuing at this pace is in our best interest and we're selling our shares. So now you have this separation. and I was talking with Michael Semblist from JP Morgan about this last week.
28:42Jessica Rabe:He was pointing out that in early 1999, the internet service provider stocks started going down, which was sort of a referendum on how confident investors were in the build-out of the original internet. But while that was taking place, the suppliers, the beneficiaries of the CapEx, those stocks kept going up. That's your Dell computers, your Cisco's, your Intel's. And the way he thinks about it is that was the early warning sign when the share prices of the spenders are no longer reacting positively. It's only a matter of time before the component suppliers realize that they've run off the cliff and they look down and they see nothing but a mile below their feet.
29:29Jessica Rabe:I think that is the thing most people are afraid of for the semi-stocks and the AI CapEx darlings. You guys probably have a view on that. It's a little bit outside the scope of what we're talking about today, but what do you think?
29:44Nick Colas:Can I just jump in for one second? Yeah, please. The 99 example is straight up my wheelhouse because I was trading at SAC, those stocks at the time. There's a missing piece to that analysis, and that is that it was the B2B companies that took over leadership. at the very end of that cycle. So the Commerce Ones of the world that had a whole different way of playing, you know, the internet and the value of the internet. So it was not immediately clear like, oh, well, the ISPs are rolling over, therefore the cycle's over and that's an early warning sign. No, it was investors looking at second and third and fourth order effects.
30:20Nick Colas:And I remember vividly like sitting with the guys at Commerce One, the guys at GM talking about what B2B was going to do for the entire industrial base. So it wasn't that the energy in any way diminished, honestly. It was the energy shifted. And as Jessica said, the real catalyst for that implosion, and we talked about this on the last show, the NAS was down 30 % over the course of a couple of weeks from the highs. The cause of that implosion was 110%, what Jessica said, it was the Fed. The Fed, right. The realization like, oh my God. The cost of capital. The cost of capital and the access to capital was going to go away very quickly.
30:58Nick Colas:And that was really the cause. So I take Sembo's point, but I would just say, having lived through it, it's only a piece of the story.
31:05Jessica Rabe:Okay. I think that's a really important distinction. And I was trading too, and I remember all those stocks, ITWO and CMRC. And I was in them. I had my head handed to me when the party stopped too, just like everyone else. But you're right. There was a new story that took over from the consumer internet. And all of a sudden, AOL was no longer a momentum name, but Commerce One was. And it was like a new phase for the internet bull market.
31:37Nick Colas:Yeah, that was a story for 2000, 2001, and 2002. That was supposed to be the next five-year cycle was enterprise adoption.
31:46Josh Brown:I think to your point, though, Josh, on semis, is it's like, what are the odds over the next 90 days we're going to have or over the past night, we're going to have another earnings revisions of plus 30 % over the past 90 days for semis? Like once again, that's a high bar. So I think some breathing room.
32:05Jessica Rabe:I have more conviction in the semi-capital equipment stocks just because there's such a huge concerted effort within the hyperscalers to build their own chips. And, of course, that's capital equipment business. It almost doesn't matter who's selling chips at that point for that group so long as someone is. Who's making chips, I should say. I understand, though, if the big five don't see the same vigor of upward revisions, those stocks will not be acting as well as they do today, regardless. Right. Okay.
32:44Josh Brown:I wanted, though, to just for my last section, I think this is a good time to just take a step back and look at the longer arc for tech, specifically what history says happens in year four of a run of consecutive annual gains like the one we're in right now, because we're now in year four. The Nasdaq just had three straight years of gains of 20 % or more. So 43 % in 2023, 29 % in 2024, and 20 % in 2025. And these came after a rough 2022, of course, when the comp fell 33%. So I just wanted to go into kind of what history says happens after a down year because it's pretty constructive. the Nasdaq's most common bull run lasts two years after down year, which has happened four times since 1972.
33:34Josh Brown:But three to six year runs combined are actually more common happening six out of 10 instances. And we're currently in this camp. So that's in keeping with history. But importantly, the Nasdaq has never stopped rallying at exactly four straight years since the early 70s. So if the comp is up this year, history says it should rally another one to two years. And then as for what year four actually looks like in these sequences, since that's the year we're currently in, we have a couple points here too. And yeah, thank you. That's perfect. The next graphic. Since 1972, the NASDAQ strung together three straight up years after a down year six times.
34:16Josh Brown:Four of those six times, year four was also a gain and two times it was a loss. So the odds are 67 % for a fourth year of gains. The average return across all six years is a modest 5.1%, but that's skewed lower by 2022's bear market. If you strip out the two losing years, the average year for a gain jumps to 16.8%, above the long-run average of 13.3%. But that also is itself skewed by 1998's blowout 40%, with the other three ranging from 6 % to 12%. So sorry, a lot of numbers there. But the takeaway here is that a below average gain in year four is actually the historical norm. And that's because it's really hard to surprise the market into another 20 % plus year for three straight years.
35:07Josh Brown:So the comp is up 13.1 % year to date. So it's running just below average. And I think it's worth noting that both losing years share the same root cause, and it's a reoccurring theme in this episode, a Fed rate shock. So 1994's 3 % pullback and 2022's 33 % decline both came from the Fed hiking rates. And the comp's current setup, three straight years of 20 % plus year gains after a down year, has only happened twice before. So the first was after 1994's 3 % decline. Then you had 1995, 1996, and 1997 all delivered 20 % plus years. 98, 99, of course, kept going of 40 and 68 % before the dot-com finally arrived in 2000.
35:59Josh Brown:The second was after 2018's 4 % decline. You had 2019, 2020, and 2021 all deliver 20 % plus years. Then 2022 brought the Fed-driven bear market. So again, so the takeaway here is that history says the Nasdaq should keep rallying beyond this year, barring, of course, that Fed rate shock. There will be more pullbacks like in any bull market, but we do continue to treat them as buying opportunities. We probably sound like a broken record, but we do think the 90s comparison is a useful reminder that it's a useful reminder of how much money was left on the table by investors who sold too early.
36:42Jessica Rabe:Yeah, a broken record, but continually playing the right song. and that's the name of the game of what we're all trying to do with our money is not be endlessly entertained by variety but to actually get things right and so far you guys have been incredibly prescient and you've kept us in this market and you've repeatedly told us the important things to watch for and I just want to tell you how much we and the audience appreciate it so thank you so much thank you so much
37:14Josh Brown:we love coming on All right.
37:16Jessica Rabe:So guys, once again, if you want to follow Nick and Jessica's own video channel on YouTube, there's a link in the show notes below. And we hope that you check out datatrackresearch.com and you can be on their subscription list as well, just like I am. Thank you so much, Nick and Jess. We appreciate it. We'll check in with you soon, hopefully at the end of the summer. In the meanwhile, enjoy. Thank you guys for watching. Thank you for listening. Have a great day.
From the publisher
On this episode of What Did We Learn, Josh Brown, Nick Colas and Jessica Rabe discuss whether Tech's leadership is finally cooling off, what history says about rare market extremes, the case for a rotation within mega-cap tech, why semis may have gotten ahead of themselves, and what the Nasdaq's fourth year of a bull market could mean for investors.
This episode is sponsored by Federated Hermes. Explore their full ETF lineup at https://federatedhermes.com/us
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