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Yardeni Discusses Shift on Magnificent Seven Tech Stocks
Bloomberg
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2 days ago
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00:00
is now recommending effectively going underweight the mega cap tech stocks versus the rest of the
00:06
S&P 500. Veteran strategist Ed Yadani says he sees more competitors coming for the juicy profit
00:14
margins of the Max 7. Yadani is also seeing little reason to stay overweight on the US
00:20
in the all country world MSCI portfolio. Some global peers have outperformed the S&P 500 this
00:26
year on cheaper valuations and the weaker dollar. Let's talk to the man himself. Ed Yadani is
00:32
president at Yadani Research. And Ed, why that change? It is a massive change for you.
00:38
Well, it's always time to think about the future when you get to the end of a year.
00:44
2025 is almost over. We're now thinking about 2026. I've been recommending overweighting
00:50
information technology communication services since 2010. The problem is it's worked all too
00:57
well. The two sectors now account for a humongous 45% of the market cap of the S&P 500. Of course,
01:07
their earning share has also increased, but nowhere near as far. And the same thing can be said about
01:14
looking at the US versus the global economy. When you look at the US MSCI relative to the world MSCI
01:22
index, what you see is the US now accounts for 65% of the market cap of the world stock market.
01:29
So it's hard to recommend overweighting something that's already quite overweight. I mean, if you just
01:35
told people just to maintain the current weight of the index, that would still be an overweight position
01:41
relative to what most people would think would be a diversified portfolio.
01:47
And what's fundamentally changed? Because when we talk about overstretched valuations,
01:54
they've been that way for a very long time now. And when you take a look at the AI cycle,
01:58
people still point to how it is still at the nascent stage.
02:02
Well, I would say with regards to the Magnificent Seven, what I think has changed is they're competing
02:09
more aggressively against each other and they've got more competition coming out of nowhere and
02:15
somewhere on a regular basis here. We recently saw that Google introduced Gemini 3, which suddenly
02:23
made everybody kind of reconsider just how strong the position is of open AI and open AI's relationship
02:30
to lots of other AI-related companies. And then just at the same time, DeepSeq came back. Remember,
02:38
DeepSeq, when it introduced its model back in January of this year, kind of shocked everybody
02:46
because they were able to put together a pretty good AI model that worked as well as some of the other
02:53
ones in the United States. But apparently it was trained on chips that cost a lot less.
02:58
And now it looks like they're doing it again. And there's some talk that the latest version
03:02
of the DeepSeq model is just as good as Gemini 3. So there's a lot of competition. The profit margins
03:09
have been awfully high for the Magnificent Seven. That usually invites a lot of competition. And that's
03:16
exactly what's happening. And by the way, once you look at the S&P 500 and look outside of the
03:23
Magnificent Seven, there's what I call the impressive 493. There's still plenty of good
03:29
stocks out there of companies that are going to be using all these technologies, are using all these
03:35
technologies to increase their productivity and to increase their profit margins. So I think
03:41
broadening out a portfolio from the Magnificent Seven to the 493 makes sense to me.
03:47
So I think that's the best way.
03:49
So I think that's the best way.
03:51
So I think that's the best way.
03:52
So I think that's the best way.
03:53
So I think that's the best way.
03:54
So I think that's the best way.
03:55
So I think that's the best way.
03:56
So I think that's the best way.
03:57
So I think that's the best way.
03:58
So I think that's the best way.
03:59
So I think that's the best way.
04:00
So I think that's the best way.
04:01
So I think that's the best way.
04:02
So I think that's the best way.
04:03
So I think that's the best way.
04:04
So I think that's the best way.
04:06
So I think that's the best way.
04:07
So I think that's the best way.
04:08
So I think that's the best way.
04:10
So I think that's the best way.
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