WEBVTT - Bloomberg Daybreak Holiday Special - New Years Day 2024

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<v Speaker 1>Thanks for joining us for this special edition of Bloomberg Daybreak.

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<v Speaker 1>I'm Nathan Hager Pay Happy New Year, everybody. Of course,

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<v Speaker 1>markets are closed as we kick off twenty twenty four. Well,

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<v Speaker 1>they're back. Last summer, you may recall we brought you

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<v Speaker 1>a special high tech roundtable with Gene Munster, managing partner

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<v Speaker 1>at Deepwater Asset Management, and wet Bush Securities senior equity

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<v Speaker 1>research analyst Dan Ives. This was about halfway through the

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<v Speaker 1>trading year. Well, now, we thought we'd bring the guys

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<v Speaker 1>back to see how their stock picks fared since they

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<v Speaker 1>last joined us on the fourth of July, and we'll

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<v Speaker 1>look as well at some of the trends that could

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<v Speaker 1>shape the tech sector well into twenty twenty four. Well,

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<v Speaker 1>let's start things off with you, Dan and remind our

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<v Speaker 1>listeners just what you liked and didn't like when it

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<v Speaker 1>comes to tech stocks back in the summer.

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<v Speaker 2>Listen, Apple and Microsoft to me are the table pounders

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<v Speaker 2>here along with Tessa.

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<v Speaker 3>Because of the growth themes.

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<v Speaker 2>That are going on for Cloud, Microsoft and the Della

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<v Speaker 2>continues to be the core Cloud and AI name the

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<v Speaker 2>names right now. If you looked up disaster in the dictionary,

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<v Speaker 2>you'd see the tickers, lift and Snap.

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<v Speaker 3>Those are names under new circumstance.

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<v Speaker 2>What I focus on despite maybe the stocks that have

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<v Speaker 2>obviously sold off significant.

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<v Speaker 1>Okay, so since the fourth of July, Dan Apple's gained,

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<v Speaker 1>Microsoft's up about ten percent, Tesla's down about ten percent.

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<v Speaker 1>Kind of nailed it on the Apple Microsoft story. But

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<v Speaker 1>Tesla's been a little more complicated.

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<v Speaker 3>Yeah, it has. I think they've essentially gone through a

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<v Speaker 3>price war, especially in China, and I think what we're

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<v Speaker 3>starting to see with electric vehicles is this is I

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<v Speaker 3>still viewed as an air pocket period for Tesla, but

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<v Speaker 3>no doubt for the first time they're going through some

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<v Speaker 3>challenges and you know, I think right now for twenty

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<v Speaker 3>four it's about standing firm on margins, no more price cuts,

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<v Speaker 3>and starting to ramp unit volume. That's going to be

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<v Speaker 3>the name of the game for Tesla. But is Geneo

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<v Speaker 3>as well when you look out this is still second

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<v Speaker 3>third inning of a nine inning game in terms of

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<v Speaker 3>this gross story.

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<v Speaker 1>Well, gene can't let you off the hook here. Let's

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<v Speaker 1>take a listen to your July fourth picks.

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<v Speaker 4>Now, on the standout side, is Google still not getting

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<v Speaker 4>the credit what they've done in AI remember in twenty

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<v Speaker 4>seventeen they said they're an AI first company of some

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<v Speaker 4>of the smartest people on it. Yes, there's going to

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<v Speaker 4>be some sort of a bump in the road related

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<v Speaker 4>to their revenue, but I think we haven't even seen

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<v Speaker 4>the beginning of what they're going to.

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<v Speaker 3>Do in AI.

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<v Speaker 4>And then I would put Apple in there. I think

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<v Speaker 4>Vision Pro is one that is going to surprise investors

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<v Speaker 4>over the next few years. And a third one, a

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<v Speaker 4>much smaller one, is Zillo. They can use AI to

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<v Speaker 4>finally fix this estimate. I think that's going to benefit Zilo.

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<v Speaker 4>And on the ones that we're a little bit more

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<v Speaker 4>cautious on, We're negative on Lift. They've obviously had some problems.

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<v Speaker 4>Don't want to pile on that, but I'll put Lift

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<v Speaker 4>in that category.

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<v Speaker 1>We're going to have to pile on Lift just a

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<v Speaker 1>little bit. But first Gene, you'll be happy to know

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<v Speaker 1>Google parent Alphabet up about fifteen percent since the fourth

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<v Speaker 1>of July. We mentioned Apple as well, it's higher. Zillow's

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<v Speaker 1>up about ten percent. That AI call does seem like

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<v Speaker 1>it had some pretty decent rethrow.

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<v Speaker 4>We're getting some tracks that I mean it is. This

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<v Speaker 4>is a theme that Dan and I operate in on

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<v Speaker 4>a daily basis, which we're seeing where the world's going

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<v Speaker 4>the next few years. It takes time to get there,

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<v Speaker 4>and Zillo is starting to do that. The zestament has

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<v Speaker 4>been broke for a long time. It's just starting to heal.

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<v Speaker 4>I think that that's going to add better transparency, better

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<v Speaker 4>accuracy to what people is. The largest part of their

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<v Speaker 4>net worth is is their home and I think that

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<v Speaker 4>taking some of the friction out of understanding the value

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<v Speaker 4>of your home I think is valuable. And on top

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<v Speaker 4>of that, you get a natural boost which I think

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<v Speaker 4>is going to come to some of these real estate

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<v Speaker 4>tech companies in the next year, just because raids as

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<v Speaker 4>they even stabilize and maybe they get better, maybe they

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<v Speaker 4>go down stabilization. I think it's going to be benefit

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<v Speaker 4>just across the board and Zillo. Other companies beyond zill

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<v Speaker 4>in real estate tech that have been to say they've

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<v Speaker 4>been obliterated over the last couple of years as an understatement,

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<v Speaker 4>but I think they're due for a bounce back. Now.

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<v Speaker 1>I want to talk about both the really good calls

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<v Speaker 1>that you both had, but you both mentioned Lift as

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<v Speaker 1>a stock that you didn't like. You might be surprised

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<v Speaker 1>to hear that since that fourth of July call, Lift

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<v Speaker 1>has gained about fifty five zero percent. Dan any regrets.

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<v Speaker 3>I mean, look, you're going to see maybe people talking

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<v Speaker 3>about could this get acquired? Could it be a restructuring

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<v Speaker 3>story activist. So that's definitely some of the stuff that's

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<v Speaker 3>happened with LYFT. But the reality is they have averaged

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<v Speaker 3>like uphill challenges, and this is one where Uber continues

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<v Speaker 3>to be our table pounder. You focus on your flowers,

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<v Speaker 3>not your weeds. That's how you lift. It's the little

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<v Speaker 3>brother Tuber.

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<v Speaker 1>How about you, Gene, you still love sour on Lift?

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<v Speaker 4>Yeah, it's painful to hear that that it's up to

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<v Speaker 4>fifty five percent since I was negative on it, and

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<v Speaker 4>I have a similar type of view, is that wish

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<v Speaker 4>we would have been more positive on it six months ago,

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<v Speaker 4>and then all the way we like to think about

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<v Speaker 4>it deep waters that there's no rear ver mirror and

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<v Speaker 4>we have to look forward. And I'm on that same

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<v Speaker 4>page that Dan is. I think that Uber is by

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<v Speaker 4>far and away orders a magnitude better positioned, and I

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<v Speaker 4>think that going forward, wish I would have gotten it

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<v Speaker 4>right going forward, still think this company is going to

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<v Speaker 4>be structurally challenged in the next few years.

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<v Speaker 1>So going forward, let's talk about the names that did

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<v Speaker 1>really well, those calls that you both had. Microsoft Alphabet

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<v Speaker 1>part of those Magnificent seven that have really driven the

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<v Speaker 1>rally this year. Dan, When we see the kind of

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<v Speaker 1>games that we've seen from those names, in particular Microsoft Alphabet,

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<v Speaker 1>at what point do the megacaps start to look stretched

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<v Speaker 1>to you?

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<v Speaker 3>I mean, I still believe we're in the be just

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<v Speaker 3>the beginning of this AI revolution. So when I look

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<v Speaker 3>at Microsoft, you know, we spend so much of our

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<v Speaker 3>time traveling around the world trying to understand the monization

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<v Speaker 3>of AI from Microsoft. For every one hundred dollars of

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<v Speaker 3>cloud spend on Azure Wen, there's incremental thirty five to

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<v Speaker 3>forty of AI spend. You put that together, a year

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<v Speaker 3>from now, we're looking at a mark cap that's probably

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<v Speaker 3>closer to four trillion than three trillion. So I think

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<v Speaker 3>the golden story under Nadella is just starting to take

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<v Speaker 3>place in terms in Redmond.

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<v Speaker 1>You still piling in to Microsoft as well, Gene.

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<v Speaker 4>We do own it. We think that they're well positioned,

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<v Speaker 4>and you know, I just want to put a little

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<v Speaker 4>bit of A. I guess my view on what Dan

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<v Speaker 4>said related to where AI is and where it's potentially going.

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<v Speaker 4>And you know, we've been struggling over the past year

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<v Speaker 4>to try to put context into the significance of this.

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<v Speaker 4>There seems to be this tripping over each other in

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<v Speaker 4>terms of what are the adjectives to describe it. So

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<v Speaker 4>I'm going to take a shot at it. Here is

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<v Speaker 4>that I would put electricity in a scale of one

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<v Speaker 4>to one hundred, one hundred being most transformative. Electricity is

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<v Speaker 4>at one hundred. I would put AI at ninety or

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<v Speaker 4>ninety five, the Internet at fifty, the smartphone at thirty

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<v Speaker 4>three d TV if you're curious, as a negative five.

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<v Speaker 1>Been a while since we thought about shot correct.

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<v Speaker 4>The reason why I put that into context is it

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<v Speaker 4>I think illustrates how bullish we are and we think

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<v Speaker 4>we're going to see We're in nineteen ninety five and

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<v Speaker 4>we haven't even started to see the enthusiasm around A

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<v Speaker 4>and we think we're gonna get a point where the

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<v Speaker 4>optimism around it in three to five years is going

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<v Speaker 4>to be deafening and it's gonna be a bubble. Good

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<v Speaker 4>news is going into this. I think you are owning

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<v Speaker 4>companies like Microsoft and Google and Apple are going to

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<v Speaker 4>benefit from this massive run up. You gotta be careful

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<v Speaker 4>on the opposite side of it. We learned that. But

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<v Speaker 4>I'm agree with this thought that Microsoft is one of

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<v Speaker 4>those foundational AI companies, thanks obviously to their partnerships, and

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<v Speaker 4>they're gonna benefit from it.

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<v Speaker 1>Interesting that you say it's gonna be a bubble, Gene,

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<v Speaker 1>because when you have the kind of valuations that we've

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<v Speaker 1>seen for these companies and so much focus this year

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<v Speaker 1>on this Magnificent seven, a lot of folks are wondering

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<v Speaker 1>whether we might be in the bubble already. Dan, I'm

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<v Speaker 1>guessing that's not your view just yet.

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<v Speaker 3>Why look, I think it look a lot of the

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<v Speaker 3>work that even Gene, you know, Dug and his team

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<v Speaker 3>done in deep water, it just shows similar to our work.

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<v Speaker 3>We are in their early days of monization. So I

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<v Speaker 3>don't view it as a bubble. This is not a

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<v Speaker 3>nineteen ninety nine two thousand movement. It's a nineteen ninety

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<v Speaker 3>five movement and the monization of AI is just starting.

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<v Speaker 3>We viewed as a trillion dollars of incremental spend over

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<v Speaker 3>the next decade. As at his the shores of tech.

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<v Speaker 3>I view this not the time to go deep into

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<v Speaker 3>the caves like a lot the bears have done this year,

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<v Speaker 3>missing out. This is the time to basically get the

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<v Speaker 3>popcorn and get ready for what we've used a new

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<v Speaker 3>tech bulmarket.

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<v Speaker 1>Are we at the start of a bull market in tech?

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<v Speaker 1>For you, Geene?

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<v Speaker 4>I think so. I think that to put there where

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<v Speaker 4>we're currently in terms of evaluation, where we were in

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<v Speaker 4>two thousand, call it the Nasdaq is twenty five or

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<v Speaker 4>so multiple or twenty twenty five multiple, and at the

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<v Speaker 4>peak of the bubble it was almost a two hundred

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<v Speaker 4>multiple earning it's multiple, and so we it's just a

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<v Speaker 4>very it's just a lot to go. I agree with Dan.

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<v Speaker 4>I just love the way he can just capture exactly

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<v Speaker 4>how to think about these getting a popcorn and sitting

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<v Speaker 4>back and just watching this happen, because it's going to happen.

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<v Speaker 4>And so I think we're just have We're at a

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<v Speaker 4>point right now. I've been for the last two years.

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<v Speaker 4>I've been more on the cautious side, and I am

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<v Speaker 4>just extremely excited about how this AI is going to

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<v Speaker 4>impact and bring a lot of just generate a lot

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<v Speaker 4>of wealth for investors in the next three to five years.

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<v Speaker 4>I do I actually have a question Nathan again for

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<v Speaker 4>Dan on this topic around Okay, and.

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<v Speaker 1>Well, let's get to that question in just a moment,

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<v Speaker 1>because we do have a lot more to unpack here

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<v Speaker 1>when it comes to the Magnificent seven and the AI story.

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<v Speaker 1>So we'll let you pose that question to Dan as

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<v Speaker 1>we continue this conversation on big tech in the new

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<v Speaker 1>year on this special edition of Bloomberg and Daybreak. It

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<v Speaker 1>is now eighteen minutes past the hour on Nathan Hager

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<v Speaker 1>and this is Bloomberg. Welcome back to the special edition

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<v Speaker 1>of Bloomberg Daybreak. The markets are closed for the New

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<v Speaker 1>Year's holiday. I'm Nathan Hager. We are back with Gene

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<v Speaker 1>Monster managing partner, Deepwater Asset Management and Wetbush Security senior

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<v Speaker 1>equity research analyst, Dan Ives and Gene Before we were

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<v Speaker 1>so rudely interrupted by the break, you had a question

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<v Speaker 1>you wanted to post a Dan, So go ahead.

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<v Speaker 4>It feels like Dan, you know, on the same page

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<v Speaker 4>in terms of how impactful AI. It's going to be

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<v Speaker 4>a massive impact. There's an opportunity of the next three

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<v Speaker 4>to five years for wealth creation as the synergies and

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<v Speaker 4>the revenue opportunities start to emerge from these companies around AI.

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<v Speaker 4>It sounds like in general we're on the same page.

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<v Speaker 4>And my question is this more about twenty twenty four.

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<v Speaker 4>Do we think we're actually going to see some of

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<v Speaker 4>the monetization for AI in twenty twenty four or is

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<v Speaker 4>it going to be more just announcements and building towards

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<v Speaker 4>better products that start to have an impact on revenue

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<v Speaker 4>in twenty five, twenty six, twenty seven.

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<v Speaker 3>H Gee, I think you nailed that. I think that's

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<v Speaker 3>the biggest question. And to our point, there all the

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<v Speaker 3>research we've done, I think we see monization front and

0:12:16.760 --> 0:12:20.600
<v Speaker 3>center from copile, it from some of the hyperscale players,

0:12:21.160 --> 0:12:23.760
<v Speaker 3>starting as early as March and April, and I think

0:12:23.840 --> 0:12:26.320
<v Speaker 3>that is going to be the tip of the iceberg

0:12:26.679 --> 0:12:28.920
<v Speaker 3>to this broader trend we're seeing right now. We have

0:12:28.960 --> 0:12:32.319
<v Speaker 3>over eighty use cases based on our survey work four

0:12:32.400 --> 0:12:34.520
<v Speaker 3>or five months ago, bay less than fifteen. And I

0:12:34.559 --> 0:12:37.800
<v Speaker 3>think that you filew like Nathan Gene knows this so well.

0:12:38.160 --> 0:12:41.400
<v Speaker 3>You follow the use cases. That's the yellow brick road

0:12:41.640 --> 0:12:43.200
<v Speaker 3>to the winners and who you want to play.

0:12:43.320 --> 0:12:46.560
<v Speaker 1>Okay, Well, if you've got eighty use cases Dan, and

0:12:46.600 --> 0:12:49.080
<v Speaker 1>you've narrowed it down to that a dozen or so,

0:12:49.320 --> 0:12:52.280
<v Speaker 1>what do you think of the most likely use cases

0:12:52.440 --> 0:12:55.480
<v Speaker 1>that we could see start to bear fruit in this

0:12:55.559 --> 0:12:57.840
<v Speaker 1>new year, Because, like as GEDD was saying, the big

0:12:57.960 --> 0:13:01.400
<v Speaker 1>question is there's so much prompt around AI, you got

0:13:01.400 --> 0:13:03.520
<v Speaker 1>to think that maybe this is the year that a

0:13:03.520 --> 0:13:05.360
<v Speaker 1>lot of these companies are going to have to show

0:13:05.400 --> 0:13:07.400
<v Speaker 1>that the promise leads to results.

0:13:07.520 --> 0:13:10.720
<v Speaker 3>Yeah, And I think where you're seeing it first areas

0:13:10.760 --> 0:13:15.520
<v Speaker 3>of financial some of the regulatory insurance. There's massive use

0:13:15.600 --> 0:13:20.720
<v Speaker 3>cases around that actuaries are using that we're seeing from

0:13:20.720 --> 0:13:24.920
<v Speaker 3>an unstructured data perspective. Banks are going after, they're diving

0:13:25.000 --> 0:13:28.880
<v Speaker 3>to deepend the pool. The use cases are massive, and financials,

0:13:28.960 --> 0:13:34.720
<v Speaker 3>life insurance. I also think we're seeing massive use cases healthcare, hospitals.

0:13:35.040 --> 0:13:41.080
<v Speaker 3>Science is a very very big focus. And then ironically, government,

0:13:41.240 --> 0:13:44.640
<v Speaker 3>which usually is so far behind, we're seeing a lot

0:13:44.679 --> 0:13:47.200
<v Speaker 3>of use cases when it comes to on DoD and

0:13:47.280 --> 0:13:50.760
<v Speaker 3>on defense and military and some of the agencies. And

0:13:50.800 --> 0:13:53.720
<v Speaker 3>that's why we view this as probably the biggest transformation

0:13:53.800 --> 0:13:57.160
<v Speaker 3>that we've ever seen, especially going back to mid nineties.

0:13:57.360 --> 0:14:00.120
<v Speaker 1>That's really fascinating because we have seen a lot of

0:14:00.120 --> 0:14:03.280
<v Speaker 1>the big banks, in particular Gene is trying to get

0:14:03.320 --> 0:14:06.120
<v Speaker 1>ahead of the trend on AI and getting those use

0:14:06.200 --> 0:14:11.640
<v Speaker 1>cases implemented. Where do you see the most promising use

0:14:11.720 --> 0:14:15.840
<v Speaker 1>cases for AI right now, Well, it's.

0:14:15.800 --> 0:14:19.000
<v Speaker 4>In twenty twenty four. I agree with Dan on this

0:14:19.280 --> 0:14:21.840
<v Speaker 4>concept of copilot, and I think that when he talks

0:14:21.840 --> 0:14:26.000
<v Speaker 4>about those eighty features, that's like real substance. There's real

0:14:26.360 --> 0:14:29.760
<v Speaker 4>utility that's being delivered next year. When I saw some

0:14:29.880 --> 0:14:33.760
<v Speaker 4>of these products previewed by Microsoft in twenty twenty three

0:14:33.960 --> 0:14:37.640
<v Speaker 4>around copilot, my sense was we're going to see these

0:14:37.720 --> 0:14:40.600
<v Speaker 4>in five years, and then they start talking about them

0:14:40.640 --> 0:14:44.280
<v Speaker 4>being available in two months. It just hit home how

0:14:44.360 --> 0:14:47.040
<v Speaker 4>fast things are moving. So I think that you will

0:14:47.040 --> 0:14:51.520
<v Speaker 4>see an uptake small uptake and Microsoft revenue next year.

0:14:51.760 --> 0:14:54.240
<v Speaker 4>I think another company that's going to benefit from this

0:14:54.320 --> 0:14:57.160
<v Speaker 4>is you know, outside of the banking don't spend as

0:14:57.240 --> 0:14:59.520
<v Speaker 4>much time on the banking side specifically, but we spend

0:14:59.520 --> 0:15:02.320
<v Speaker 4>a lot of time on social side. And I think

0:15:02.360 --> 0:15:06.760
<v Speaker 4>companies like Meta and even though it's not the AI

0:15:07.320 --> 0:15:11.760
<v Speaker 4>quote AI product, I think AI making content easier to

0:15:11.840 --> 0:15:17.880
<v Speaker 4>generate and really making the algorithms more I would say

0:15:17.920 --> 0:15:21.440
<v Speaker 4>for lack of a better word, addictive and to increase engagement.

0:15:21.560 --> 0:15:23.880
<v Speaker 4>I think you're going to continue to see where it

0:15:23.920 --> 0:15:28.480
<v Speaker 4>actually presents itself is the growth in daily active users

0:15:28.520 --> 0:15:30.320
<v Speaker 4>and time spent the metric they don't give out, but

0:15:30.400 --> 0:15:34.120
<v Speaker 4>daily active users continues in this two three percent year

0:15:34.120 --> 0:15:35.560
<v Speaker 4>of year, which is a hard number to grow and

0:15:35.640 --> 0:15:38.520
<v Speaker 4>it's close. It's over two billion. I think that that

0:15:38.680 --> 0:15:41.200
<v Speaker 4>is going to be how I think we're going to

0:15:41.280 --> 0:15:47.160
<v Speaker 4>see AI impacting these businesses and that's real and we're

0:15:47.160 --> 0:15:49.520
<v Speaker 4>going to start to see. Of course, obviously the hardware

0:15:49.560 --> 0:15:51.960
<v Speaker 4>side and video will continue to be a big beneficiary,

0:15:52.000 --> 0:15:55.760
<v Speaker 4>maybe a little bit with amw AMD and then play

0:15:55.800 --> 0:15:58.400
<v Speaker 4>it forward. I think twenty five twenty six is when

0:15:58.920 --> 0:16:02.600
<v Speaker 4>things really get and when it comes to monetization around AI.

0:16:03.200 --> 0:16:06.400
<v Speaker 1>No I want to ask you Dan to think about

0:16:06.600 --> 0:16:09.840
<v Speaker 1>AI getting more implemented in social media. There's so much

0:16:09.960 --> 0:16:13.920
<v Speaker 1>question around social media, whether it's too addictive right now,

0:16:13.920 --> 0:16:16.880
<v Speaker 1>and then when you think about artificial intelligence getting wrapped

0:16:16.880 --> 0:16:18.720
<v Speaker 1>into it, whether that could create even more of a

0:16:18.760 --> 0:16:23.600
<v Speaker 1>backlash around social media and AI more broadly. There's still

0:16:23.640 --> 0:16:27.360
<v Speaker 1>a lot of concern, isn't there that artificial intelligence has

0:16:27.400 --> 0:16:29.400
<v Speaker 1>the risk of getting to and meshed in our lives.

0:16:29.560 --> 0:16:29.760
<v Speaker 2>Yeah.

0:16:29.800 --> 0:16:32.840
<v Speaker 3>Look, it's been a concern and that's not going away.

0:16:33.000 --> 0:16:35.280
<v Speaker 3>But I think with Jane's talking about, I think is

0:16:35.680 --> 0:16:38.920
<v Speaker 3>a very important issue because when you look what's happened

0:16:38.960 --> 0:16:41.320
<v Speaker 3>in social media and you look at Facebook, and you

0:16:41.360 --> 0:16:45.560
<v Speaker 3>look at Google and snap TikTok and everything else, I

0:16:45.560 --> 0:16:49.600
<v Speaker 3>mean AI, the monization's real in terms I mean from

0:16:49.720 --> 0:16:55.400
<v Speaker 3>better words, essentially targeting, advertising, ramping. The regulators right now

0:16:56.240 --> 0:16:59.400
<v Speaker 3>are in the right lane in a minivan going twenty

0:16:59.400 --> 0:17:04.080
<v Speaker 3>five miles. The technologies a ferrari left ling going ninety

0:17:04.119 --> 0:17:08.800
<v Speaker 3>five and the reality is regulatories despite all the noise,

0:17:08.920 --> 0:17:10.960
<v Speaker 3>it's not stopping this free graine.

0:17:11.080 --> 0:17:14.439
<v Speaker 1>But that's the thing though, If the regulation stays in

0:17:14.520 --> 0:17:17.800
<v Speaker 1>the slow lane, it raises the question once again about

0:17:17.840 --> 0:17:22.960
<v Speaker 1>whether artificial intelligence has a risk of outrunning itself and

0:17:23.320 --> 0:17:27.159
<v Speaker 1>getting two out of control. What's the concern Do you

0:17:27.280 --> 0:17:29.040
<v Speaker 1>have that concern, Jane.

0:17:28.960 --> 0:17:32.320
<v Speaker 4>Well, I think that there's the companies know. I think

0:17:32.359 --> 0:17:36.320
<v Speaker 4>the companies are really defining and driving AI, know of

0:17:36.359 --> 0:17:39.879
<v Speaker 4>what the risks are, and I think, as I agree,

0:17:40.000 --> 0:17:43.000
<v Speaker 4>I love that analogy. Dan, You are just wonderful at

0:17:43.040 --> 0:17:46.680
<v Speaker 4>these analogies that far they're in the Ferrari and ripping along,

0:17:47.040 --> 0:17:50.600
<v Speaker 4>and they know that I'm going to try my best

0:17:50.640 --> 0:17:53.800
<v Speaker 4>to stick with this Ferrari example, but they know that

0:17:54.040 --> 0:17:56.040
<v Speaker 4>if you go take it to one hundred and eighty

0:17:56.040 --> 0:17:59.639
<v Speaker 4>miles an hour, you could crash and then you're done.

0:18:00.160 --> 0:18:04.040
<v Speaker 4>And I believe that these companies know about the existential

0:18:04.119 --> 0:18:07.240
<v Speaker 4>risk from AI, and there is, and they know that

0:18:07.480 --> 0:18:10.600
<v Speaker 4>the risk is can be pretty it could be a

0:18:10.640 --> 0:18:14.080
<v Speaker 4>significant negative to humanity. I'm not an alarmist, but I

0:18:14.119 --> 0:18:18.440
<v Speaker 4>think that people when we talk to you know, Doug

0:18:18.480 --> 0:18:20.960
<v Speaker 4>from our team, Dan mentioned him. He is the smartest

0:18:21.000 --> 0:18:23.960
<v Speaker 4>guy on AI and he does a ton of interviews

0:18:24.000 --> 0:18:28.120
<v Speaker 4>with founders and AI, and that's something that's on their mind.

0:18:28.160 --> 0:18:32.440
<v Speaker 4>And so Nathan, I think that they're going to there's

0:18:32.480 --> 0:18:35.880
<v Speaker 4>going to be this actually self regulation piece sounds bizarre

0:18:35.880 --> 0:18:39.560
<v Speaker 4>when it comes to tech and not in regulating to

0:18:39.560 --> 0:18:43.760
<v Speaker 4>be nice and not you know, for the greater good

0:18:43.760 --> 0:18:47.719
<v Speaker 4>of all humanity, regulating AI to make sure that humanity

0:18:48.480 --> 0:18:51.600
<v Speaker 4>stays around. I think that that is as bizarre as

0:18:51.640 --> 0:18:55.600
<v Speaker 4>it is, it's a real topic, and I feel that

0:18:55.440 --> 0:18:59.720
<v Speaker 4>the knowledge of the existential risk will prevent very bad things.

0:19:00.080 --> 0:19:01.879
<v Speaker 4>As Dan said, the regulars are going to try to

0:19:01.960 --> 0:19:04.000
<v Speaker 4>keep up with AI and they're just they're not going

0:19:04.040 --> 0:19:05.280
<v Speaker 4>to have a chance to keep up with it.

0:19:05.480 --> 0:19:07.840
<v Speaker 3>And Nathan I would just say one, Dan Jean, sounds

0:19:07.920 --> 0:19:10.840
<v Speaker 3>very important when you talk about what's happened in self regulation.

0:19:11.080 --> 0:19:15.520
<v Speaker 3>The other overarching theme is US first China. For the

0:19:15.560 --> 0:19:19.480
<v Speaker 3>first time in years, US is ahead of China. So

0:19:19.600 --> 0:19:22.399
<v Speaker 3>the issue from a belt way to a two perspective,

0:19:22.480 --> 0:19:25.040
<v Speaker 3>where you are do you shoot yourself in the foot

0:19:25.320 --> 0:19:27.439
<v Speaker 3>at a time that you're in arms race with China?

0:19:27.520 --> 0:19:30.959
<v Speaker 3>Where right now we have the golden Child's Nvidia, Microsoft

0:19:31.040 --> 0:19:34.000
<v Speaker 3>Open AI in the US And that's the balance.

0:19:34.040 --> 0:19:35.600
<v Speaker 1>And that's the thing. I mean, we're right at the

0:19:35.600 --> 0:19:39.200
<v Speaker 1>start of how to think about this technology and twenty

0:19:39.240 --> 0:19:43.480
<v Speaker 1>twenty four really could be the year that things really

0:19:43.680 --> 0:19:45.840
<v Speaker 1>start to come into focus when it comes not just

0:19:45.880 --> 0:19:49.280
<v Speaker 1>to how to apply artificial intelligence, but how to keep

0:19:49.280 --> 0:19:51.200
<v Speaker 1>it under control. And we're going to carry on this

0:19:51.240 --> 0:19:55.080
<v Speaker 1>conversation focused on tech with a Gene Monster of Deep

0:19:55.160 --> 0:19:58.160
<v Speaker 1>Water and Dan Ives of web Bush. Take a closer

0:19:58.160 --> 0:20:01.679
<v Speaker 1>look as well at this mag Magnificent seven, those seven

0:20:01.840 --> 0:20:05.520
<v Speaker 1>tech stocks that have really driven the stock rally this

0:20:05.600 --> 0:20:09.959
<v Speaker 1>year that says this holiday edition of Bloomberg Daybreak continues.

0:20:10.119 --> 0:20:13.840
<v Speaker 1>It is thirty five minutes past the hour. I'm Nathan Hager,

0:20:14.240 --> 0:20:22.200
<v Speaker 1>and this is Bloomert. Welcome back to this special edition

0:20:22.280 --> 0:20:25.280
<v Speaker 1>of Bloomberg Daybreak. The markets are closed on the New

0:20:25.359 --> 0:20:28.280
<v Speaker 1>Year's holiday. I'm Nathan Hager, and we are back now

0:20:28.280 --> 0:20:31.760
<v Speaker 1>with Dan Ives, senior equity research j analyst at Wedbush Securities,

0:20:32.000 --> 0:20:36.080
<v Speaker 1>and Gene Munster, managing partner over at Deepwater Asset Management.

0:20:36.160 --> 0:20:39.080
<v Speaker 1>It's been such a fascinating discussion so far, guys, about

0:20:39.160 --> 0:20:44.320
<v Speaker 1>artificial intelligence, and so much of what's driven this excitement

0:20:44.359 --> 0:20:48.520
<v Speaker 1>around AI is these seven stocks, the so called Magnificent

0:20:48.640 --> 0:20:55.240
<v Speaker 1>Seven in Nvidia's one of them, along with Alphabet, Amazon, Apple, Meta, Microsoft, Tesla.

0:20:55.760 --> 0:20:59.320
<v Speaker 1>Think I got them all? Those seven stocks altogether doubled

0:20:59.359 --> 0:21:03.000
<v Speaker 1>in value in twenty twenty three on the Bloomberg Magnificent

0:21:03.040 --> 0:21:06.399
<v Speaker 1>seven Total Return Index. So I want to ask you,

0:21:06.480 --> 0:21:10.800
<v Speaker 1>first off, gene was AI alone the biggest driver of

0:21:10.840 --> 0:21:13.360
<v Speaker 1>these gains? And do you see it continuing in the

0:21:13.359 --> 0:21:14.480
<v Speaker 1>next into this year.

0:21:14.760 --> 0:21:18.640
<v Speaker 4>I think AI was a quarter of the of the gains,

0:21:18.760 --> 0:21:22.520
<v Speaker 4>and some companies, more like Nvidia was one hundred and

0:21:22.560 --> 0:21:25.680
<v Speaker 4>fifty percent of it. In Google's case, it was there's

0:21:25.680 --> 0:21:28.840
<v Speaker 4>a lot of debate where investors stand on Google relative

0:21:28.840 --> 0:21:33.399
<v Speaker 4>to AI, but I think the biggest driver in twenty

0:21:33.440 --> 0:21:35.879
<v Speaker 4>twenty three. We came off of twenty twenty two where

0:21:36.560 --> 0:21:39.560
<v Speaker 4>tech was a four letter word, and now we go

0:21:39.600 --> 0:21:43.720
<v Speaker 4>into twenty three where there's just this optimism that rates

0:21:43.720 --> 0:21:45.879
<v Speaker 4>are going to start to stabilize or go down, and

0:21:46.560 --> 0:21:49.439
<v Speaker 4>then so you have not only the benefit of wanting

0:21:49.480 --> 0:21:53.600
<v Speaker 4>to have growth, but there's still this flight to quality,

0:21:53.640 --> 0:21:55.159
<v Speaker 4>and so I think that that benefits some of the

0:21:55.160 --> 0:21:58.560
<v Speaker 4>Magnificent seven. I think company like Apple, world's greatest company

0:21:58.640 --> 0:22:02.600
<v Speaker 4>you have, they've been pretty quiet when it comes to AI,

0:22:02.680 --> 0:22:05.000
<v Speaker 4>and the stocks at fifty five percent this year, well

0:22:05.000 --> 0:22:08.199
<v Speaker 4>ahead of the NASDAC, and so I think that I

0:22:08.200 --> 0:22:11.119
<v Speaker 4>think that AI has played part of it, but also

0:22:11.240 --> 0:22:14.879
<v Speaker 4>the bigger part is just our lives are becoming more

0:22:14.880 --> 0:22:16.280
<v Speaker 4>dependent on these companies.

0:22:17.000 --> 0:22:20.240
<v Speaker 1>How do you see it, Dan? What drove the Magnificent

0:22:20.320 --> 0:22:21.840
<v Speaker 1>seven rally and does it continue?

0:22:22.040 --> 0:22:25.440
<v Speaker 3>I think a big part was these tech companies, after

0:22:25.520 --> 0:22:28.520
<v Speaker 3>spending money like nineteen eights rock stars, you know for

0:22:28.640 --> 0:22:30.879
<v Speaker 3>many years, they started cut costs. I mean that was

0:22:30.920 --> 0:22:34.480
<v Speaker 3>the Zuckerberg your turnaround. I think you say the same

0:22:34.520 --> 0:22:38.399
<v Speaker 3>thing at Google and others, So they prepared for a

0:22:38.440 --> 0:22:42.000
<v Speaker 3>hard landing, but instead we got a Pillsbury dough Boys

0:22:42.080 --> 0:22:45.480
<v Speaker 3>soft landing numbers were ahead expectators. I think that was

0:22:45.520 --> 0:22:49.160
<v Speaker 3>a big piece. And then AI, it's the gold rush.

0:22:49.440 --> 0:22:53.440
<v Speaker 3>You put that in there. Combined that creates what we've seen,

0:22:53.680 --> 0:22:58.399
<v Speaker 3>especially where so many investors, institutionally speaking, we're yelling fire

0:22:58.400 --> 0:23:02.720
<v Speaker 3>in a crowded theater. Now into twenty twenty four, now

0:23:02.760 --> 0:23:06.199
<v Speaker 3>the real monization starts to happen. So I view it

0:23:06.240 --> 0:23:09.800
<v Speaker 3>as kind of again, this is in ninety five going

0:23:09.840 --> 0:23:11.600
<v Speaker 3>into what I've used a three year stretch.

0:23:11.880 --> 0:23:14.800
<v Speaker 1>Geene, you mentioned that twenty twenty two was the year

0:23:14.880 --> 0:23:17.480
<v Speaker 1>when tech was a four letter word. Obviously this past

0:23:17.520 --> 0:23:21.480
<v Speaker 1>year much different story. What's to say that we don't

0:23:21.520 --> 0:23:24.840
<v Speaker 1>see cyclicality in twenty twenty four that we could see

0:23:24.920 --> 0:23:26.560
<v Speaker 1>up and downs once again for tech?

0:23:26.840 --> 0:23:29.680
<v Speaker 4>You know, people like Dan and I we obsess about

0:23:29.960 --> 0:23:32.600
<v Speaker 4>where the world's going, what the next three to five

0:23:32.680 --> 0:23:35.119
<v Speaker 4>ten years look like, how it's going to change our lives.

0:23:35.720 --> 0:23:40.240
<v Speaker 4>And when it comes to markets, there's this other piece

0:23:40.280 --> 0:23:45.240
<v Speaker 4>to it, which is around interest rates and money flows,

0:23:45.520 --> 0:23:49.400
<v Speaker 4>and it's something that we're not experts on and we

0:23:49.480 --> 0:23:53.399
<v Speaker 4>don't we're not economists, but unfortunately it does have an impact.

0:23:53.440 --> 0:23:56.040
<v Speaker 4>And so when we think about twenty twenty four and

0:23:56.080 --> 0:24:00.119
<v Speaker 4>think about you know the impact of money flow and

0:24:00.119 --> 0:24:02.879
<v Speaker 4>and rates and the market saying there's going to be

0:24:03.160 --> 0:24:06.200
<v Speaker 4>rate cuts next year, if that happens, it's going to

0:24:06.280 --> 0:24:09.040
<v Speaker 4>be really positive for even though they're anticipated, it will

0:24:09.080 --> 0:24:12.399
<v Speaker 4>be positive for these tech socks. I believe even a

0:24:12.440 --> 0:24:16.760
<v Speaker 4>stable rate environment. This is contrarian, but I believe even

0:24:16.800 --> 0:24:19.920
<v Speaker 4>a stable rate environment, so the FED doesn't really move

0:24:20.000 --> 0:24:22.560
<v Speaker 4>rates in twenty twenty four, I actually think it's going

0:24:22.600 --> 0:24:25.120
<v Speaker 4>to be okay and positive for tech stocks, and because

0:24:25.440 --> 0:24:29.200
<v Speaker 4>we've been through such a crisis over the past twenty

0:24:29.280 --> 0:24:33.359
<v Speaker 4>four months related to uncertainty around rates. Even though they're higher,

0:24:33.359 --> 0:24:35.239
<v Speaker 4>even though they're not necessarily going down, the fact if

0:24:35.240 --> 0:24:38.399
<v Speaker 4>they stay stable, I think that's going to allow more

0:24:38.680 --> 0:24:42.880
<v Speaker 4>inflows into tech just because the discounting mechanism that interest

0:24:42.960 --> 0:24:46.080
<v Speaker 4>rates have on it. And so I'm really optimistic about

0:24:46.080 --> 0:24:48.600
<v Speaker 4>tech and twenty four, even though it's had a great

0:24:48.720 --> 0:24:50.879
<v Speaker 4>run in twenty three, I think it's going to be

0:24:50.880 --> 0:24:53.679
<v Speaker 4>the first year of that three to five year ramp

0:24:53.720 --> 0:24:56.840
<v Speaker 4>going into what's going to be Again, I believe it

0:24:56.880 --> 0:24:59.520
<v Speaker 4>will be a bubble, but we got a long way

0:24:59.560 --> 0:25:01.080
<v Speaker 4>to go from where we're at to the top of

0:25:01.080 --> 0:25:01.560
<v Speaker 4>that bubble.

0:25:01.920 --> 0:25:06.920
<v Speaker 1>And clearly, Dan, you're bullish, megabullish on tech. I mean,

0:25:07.320 --> 0:25:09.800
<v Speaker 1>the stocks that we've been talking about have managed to

0:25:09.840 --> 0:25:14.480
<v Speaker 1>power through despite massive rate hikes from the Federal Reserve.

0:25:15.440 --> 0:25:19.160
<v Speaker 1>How does it keep going? How does that monetization continue

0:25:19.160 --> 0:25:20.160
<v Speaker 1>into twenty twenty four.

0:25:20.320 --> 0:25:22.959
<v Speaker 3>Well, first, I think street numbers are under estimated by

0:25:23.000 --> 0:25:26.160
<v Speaker 3>five ten percent for twenty four, so as numbers are

0:25:26.200 --> 0:25:28.639
<v Speaker 3>going to move higher into twenty four and twenty five

0:25:29.520 --> 0:25:32.919
<v Speaker 3>fed despite all the jaw booning boy that cried wolf.

0:25:32.960 --> 0:25:36.080
<v Speaker 3>They're cutting whether it's two or three times, probably starting

0:25:36.119 --> 0:25:39.119
<v Speaker 3>in the spring, and then you start seeing more and

0:25:39.119 --> 0:25:41.480
<v Speaker 3>more of this monization that happens not just with mag

0:25:41.560 --> 0:25:45.479
<v Speaker 3>seven but across broader tech. And what that's also going

0:25:45.560 --> 0:25:48.480
<v Speaker 3>to do, it's going to stimulate M and A. I

0:25:48.480 --> 0:25:50.399
<v Speaker 3>think there's going to be just a tidal wave of

0:25:50.560 --> 0:25:53.800
<v Speaker 3>M and A the FTC con that's kind of us

0:25:53.840 --> 0:25:56.400
<v Speaker 3>a mosquito now that I mean, it's black eye after

0:25:56.480 --> 0:25:59.560
<v Speaker 3>black eye, especially in Microsoft, Activision and the others, Big

0:25:59.600 --> 0:26:01.760
<v Speaker 3>text free daymore so you can see a lot of

0:26:01.840 --> 0:26:05.199
<v Speaker 3>big deals you probably have. You know, the markets is

0:26:05.280 --> 0:26:09.080
<v Speaker 3>really gonna, I think, go into this next phase of

0:26:09.160 --> 0:26:13.800
<v Speaker 3>this modernization and what that does. It creates this bull

0:26:13.880 --> 0:26:16.120
<v Speaker 3>market that we've already begun in tech.

0:26:16.560 --> 0:26:19.200
<v Speaker 1>It's an interesting idea to think about these big tech

0:26:19.240 --> 0:26:22.240
<v Speaker 1>companies getting even bigger through M and A. Is that

0:26:22.359 --> 0:26:25.320
<v Speaker 1>something that's on your radar as well, Gene.

0:26:25.800 --> 0:26:28.000
<v Speaker 4>I think we're gonna see more M and A. I

0:26:28.000 --> 0:26:30.480
<v Speaker 4>think the biggest I love to have the conversation with

0:26:30.600 --> 0:26:33.680
<v Speaker 4>Dan around Apple and AI and how they're thinking about

0:26:33.880 --> 0:26:37.040
<v Speaker 4>leveraging other models or building their own foundation model. To me,

0:26:37.160 --> 0:26:42.840
<v Speaker 4>that's kind of the topic of the breakouts we're gonna do.

0:26:43.160 --> 0:26:48.320
<v Speaker 4>We usually wait till the I would recommend checking out

0:26:48.800 --> 0:26:53.400
<v Speaker 4>Dan's projections predictions for twenty twenty four. We always does

0:26:53.400 --> 0:26:56.560
<v Speaker 4>such a good job on it from our perspective. I

0:26:56.600 --> 0:26:59.320
<v Speaker 4>think that a huge topic is going to be you know,

0:26:59.359 --> 0:27:02.359
<v Speaker 4>what is Apple going to do relative to AI? And

0:27:02.359 --> 0:27:04.560
<v Speaker 4>I think that there could be some M and A

0:27:04.800 --> 0:27:07.119
<v Speaker 4>related to that, whether it's next year or the year after.

0:27:07.680 --> 0:27:09.399
<v Speaker 4>And I think we will see more M and A.

0:27:09.560 --> 0:27:11.280
<v Speaker 4>I don't know if it's going to be Blockbuster M

0:27:11.320 --> 0:27:14.639
<v Speaker 4>and A, but I think there will be some Blockbuster

0:27:14.760 --> 0:27:17.920
<v Speaker 4>M and A related to AI companies like Anthropic for example.

0:27:18.200 --> 0:27:22.000
<v Speaker 1>Interesting raises a question as well, Dan, whether we continue

0:27:22.040 --> 0:27:24.480
<v Speaker 1>to see this kind of outperformance from just these seven

0:27:24.520 --> 0:27:27.040
<v Speaker 1>stocks in particular, or whether we start to see a

0:27:27.040 --> 0:27:29.720
<v Speaker 1>little bit more of a broadening when it comes to

0:27:29.880 --> 0:27:32.159
<v Speaker 1>the tech story. Are you looking at some other names

0:27:32.520 --> 0:27:34.720
<v Speaker 1>that could start to outperform this year?

0:27:34.880 --> 0:27:37.240
<v Speaker 3>Yeah, I think the broadening starts to happen. You look

0:27:37.280 --> 0:27:39.879
<v Speaker 3>at what I've used, the messy of AI poun Teer.

0:27:40.400 --> 0:27:42.719
<v Speaker 3>I think from a use case pure play, it's one

0:27:42.720 --> 0:27:47.320
<v Speaker 3>of the best out there names like Mango, dB, Snowflake

0:27:47.520 --> 0:27:50.400
<v Speaker 3>or just some examples. And then I think the install

0:27:50.440 --> 0:27:53.040
<v Speaker 3>based plays is not just what's happened Redmond in the

0:27:53.040 --> 0:27:57.200
<v Speaker 3>trophy case, what Adobe's doing, what Salesforce dot com is doing.

0:27:57.400 --> 0:28:00.800
<v Speaker 3>Now you're taking AI into these massive installed bases, and

0:28:00.840 --> 0:28:03.520
<v Speaker 3>I think that's why it's really giving a renaissance of growth.

0:28:03.880 --> 0:28:07.080
<v Speaker 3>And I think that's something that you know when you

0:28:07.240 --> 0:28:09.440
<v Speaker 3>go with Gene and I do just like he said,

0:28:09.440 --> 0:28:11.600
<v Speaker 3>and he does a great job in his podcast with Doug,

0:28:12.320 --> 0:28:15.520
<v Speaker 3>we're looking at let's just don't focus on valuations. What's

0:28:15.520 --> 0:28:19.040
<v Speaker 3>focused the next two three, five years, and that's where

0:28:19.080 --> 0:28:21.960
<v Speaker 3>this Fourth Industrial Revolution is happening.

0:28:22.160 --> 0:28:25.800
<v Speaker 1>I want to ask aswell about in video. Obviously it

0:28:25.960 --> 0:28:31.240
<v Speaker 1>was the big focal point for AI chips gene Does

0:28:31.320 --> 0:28:33.760
<v Speaker 1>in Nvidia need to watch its back when it comes

0:28:33.760 --> 0:28:37.159
<v Speaker 1>to that kind of dominance. Are other players nipping it

0:28:37.240 --> 0:28:37.760
<v Speaker 1>its heals?

0:28:38.920 --> 0:28:42.360
<v Speaker 4>Not yet? The key question within video right now is

0:28:42.400 --> 0:28:44.320
<v Speaker 4>what's their growth going to be in twenty twenty five

0:28:44.400 --> 0:28:47.440
<v Speaker 4>The streets looking for fifteen percent revenue growth one to five.

0:28:48.280 --> 0:28:51.320
<v Speaker 4>That growth has been ripping a lot higherbe two hundred

0:28:51.320 --> 0:28:55.120
<v Speaker 4>percent in the or in the quarter that just ended

0:28:55.240 --> 0:28:56.440
<v Speaker 4>ends at the end of this month, at the end

0:28:56.480 --> 0:29:00.960
<v Speaker 4>of January. The As far as comp ddition, we're invested

0:29:01.240 --> 0:29:05.240
<v Speaker 4>at deep Water. We invest in both venture private companies

0:29:05.240 --> 0:29:08.440
<v Speaker 4>and public companies the whole spectrum of tech, and we

0:29:08.480 --> 0:29:12.520
<v Speaker 4>are invested in companies that are building chips to compete

0:29:12.600 --> 0:29:16.680
<v Speaker 4>with Nvidia, and just knowing what their timeframe is, it's

0:29:16.680 --> 0:29:19.040
<v Speaker 4>still a few years out before they get the chips

0:29:19.080 --> 0:29:21.680
<v Speaker 4>taped to a point where they can actually be deployed.

0:29:21.720 --> 0:29:25.120
<v Speaker 4>So I think that AMD Intel aren't going to make

0:29:25.200 --> 0:29:27.680
<v Speaker 4>much of a dent in this and there's just going

0:29:27.760 --> 0:29:30.280
<v Speaker 4>to be such a massive infrastructure build. I think in

0:29:30.400 --> 0:29:32.720
<v Speaker 4>VideA is still in a great place. I think I'd

0:29:32.800 --> 0:29:35.600
<v Speaker 4>rather have my money in companies like Apple or Google,

0:29:35.640 --> 0:29:37.280
<v Speaker 4>but in Vidia still in a great spot.

0:29:37.320 --> 0:29:38.880
<v Speaker 1>All Right, We've still got a little bit of time

0:29:39.000 --> 0:29:42.960
<v Speaker 1>left to continue this tech conversation a few more minutes

0:29:43.000 --> 0:29:46.400
<v Speaker 1>time with Gene Mounster of a deep Water Asset Management

0:29:46.440 --> 0:29:50.240
<v Speaker 1>and Dan Ives over web Bush Securities. So we'll continue

0:29:50.240 --> 0:29:52.720
<v Speaker 1>this tech roundtable with more of a look ahead to

0:29:53.120 --> 0:29:55.840
<v Speaker 1>what's in store for big tech in twenty twenty four.

0:29:56.280 --> 0:30:00.440
<v Speaker 1>As this holiday edition of Bloomberg Daybreak continues, it is

0:30:00.640 --> 0:30:04.240
<v Speaker 1>fifty minutes past the hour. I'm Nathan Hager, and this

0:30:04.960 --> 0:30:12.440
<v Speaker 1>is going to welcome back to this special edition of

0:30:12.440 --> 0:30:15.720
<v Speaker 1>Bloomberg Daybreak. The market is closed for the New Year's holiday.

0:30:15.960 --> 0:30:18.640
<v Speaker 1>I'm Nathan Hager wrapping up this hour now focused on

0:30:18.720 --> 0:30:22.080
<v Speaker 1>tech with Gene Monster of Deepwater Asset Management and web

0:30:22.120 --> 0:30:25.560
<v Speaker 1>Bush Securities. Dan Ives. Guys, since it is the new year,

0:30:26.040 --> 0:30:28.640
<v Speaker 1>let's hear some resolutions. Dan, what are you hoping to

0:30:28.640 --> 0:30:30.480
<v Speaker 1>see out of tech in twenty twenty four?

0:30:30.760 --> 0:30:32.719
<v Speaker 3>I mean, I think tech stocks are gonna be up

0:30:32.720 --> 0:30:35.160
<v Speaker 3>twenty five percent a year from now when the bell

0:30:35.240 --> 0:30:39.560
<v Speaker 3>rings going into twenty five. What I'm really focused on

0:30:39.760 --> 0:30:42.680
<v Speaker 3>is M and A that I think is going to

0:30:42.880 --> 0:30:48.000
<v Speaker 3>really cataize these names, but a really monization of AI,

0:30:48.240 --> 0:30:52.680
<v Speaker 3>the AI party. It's only nine thirty pm, it's not

0:30:52.800 --> 0:30:54.200
<v Speaker 3>two am, so.

0:30:54.200 --> 0:30:57.400
<v Speaker 1>The ball hasn't dropped just yet. What about Eugene your

0:30:57.440 --> 0:30:59.000
<v Speaker 1>New Year's resolutions for tech.

0:31:00.000 --> 0:31:02.479
<v Speaker 4>I think we're going to see some fracturing in the

0:31:02.560 --> 0:31:05.560
<v Speaker 4>Mega seven. I think companies like Apple and Google are

0:31:05.560 --> 0:31:07.080
<v Speaker 4>going to be Microsoft are going to be in a

0:31:07.080 --> 0:31:09.959
<v Speaker 4>great place, and the rest just aren't going to perform

0:31:10.000 --> 0:31:11.800
<v Speaker 4>at that same level. And I think we're going to

0:31:11.800 --> 0:31:16.920
<v Speaker 4>start to see more, I think more performance from some

0:31:16.960 --> 0:31:19.440
<v Speaker 4>of these companies that have been kind of left out

0:31:19.520 --> 0:31:22.400
<v Speaker 4>in part because of just stabilizing interest rates. We have

0:31:22.440 --> 0:31:26.160
<v Speaker 4>a deep water Frontier Tech ETF. It's powered by innovator

0:31:27.280 --> 0:31:30.880
<v Speaker 4>Tickeers Loup, so it invests in these call it sub

0:31:30.880 --> 0:31:34.040
<v Speaker 4>one hundred billion dollar market cap transformative tech companies. But

0:31:34.080 --> 0:31:38.720
<v Speaker 4>that's one segment that I'm really optimistic about how that

0:31:38.840 --> 0:31:41.720
<v Speaker 4>kind of sub one hundred billion dollar tech trade works

0:31:41.720 --> 0:31:42.640
<v Speaker 4>in twenty twenty four.

0:31:43.000 --> 0:31:46.000
<v Speaker 1>Since you mentioned some individual stocks there, Gene and since

0:31:46.040 --> 0:31:48.200
<v Speaker 1>we started this hour with a look back at your

0:31:48.320 --> 0:31:50.920
<v Speaker 1>likes and dislikes. What are some of your likes and

0:31:50.920 --> 0:31:54.280
<v Speaker 1>dislikes when it comes to individual tech stocks at the

0:31:54.320 --> 0:31:55.720
<v Speaker 1>start of this new year.

0:31:55.720 --> 0:32:00.120
<v Speaker 4>So it's Google and Apple on the largest side. I

0:32:00.120 --> 0:32:04.239
<v Speaker 4>think that what Google is doing is I think what

0:32:04.240 --> 0:32:07.120
<v Speaker 4>they've showed it was a heavily edited video, but what

0:32:07.160 --> 0:32:09.520
<v Speaker 4>they showed with Gemini was impressive, and I think it's

0:32:09.560 --> 0:32:14.160
<v Speaker 4>going to really emerge that GPT from open Ai and

0:32:14.520 --> 0:32:16.440
<v Speaker 4>Gemini from Google are going to be the two foundation

0:32:16.520 --> 0:32:19.080
<v Speaker 4>models that are kind of front and center. So I

0:32:19.080 --> 0:32:21.760
<v Speaker 4>have to see that as being a positive. And then Apple,

0:32:22.200 --> 0:32:26.680
<v Speaker 4>people forget there's I mean, Dan wrote the book on this,

0:32:26.840 --> 0:32:30.320
<v Speaker 4>but just to strengthen what's going on with the iPhone,

0:32:30.360 --> 0:32:32.080
<v Speaker 4>I think is going to be a positive. But also

0:32:32.720 --> 0:32:35.320
<v Speaker 4>I think vision Pro is really going to It's not gonna,

0:32:35.920 --> 0:32:38.440
<v Speaker 4>I think, surprise people in twenty twenty four, but I

0:32:38.480 --> 0:32:40.800
<v Speaker 4>think twenty twenty four is the year where investors get

0:32:40.800 --> 0:32:43.840
<v Speaker 4>their hands on these vision pros and the light goes

0:32:43.880 --> 0:32:47.320
<v Speaker 4>on that this is really something different. It's spatial computing.

0:32:47.400 --> 0:32:50.360
<v Speaker 4>Bringing the physical and the real world together is something

0:32:50.400 --> 0:32:53.920
<v Speaker 4>that is magical, and I think they're going to start

0:32:53.960 --> 0:32:57.080
<v Speaker 4>to anticipate that vision pro over the next three five

0:32:57.120 --> 0:32:59.160
<v Speaker 4>plus years is going to be a bigger part of

0:32:59.200 --> 0:33:01.600
<v Speaker 4>Apple's business. I think that's going to be positive for Apple.

0:33:02.080 --> 0:33:04.440
<v Speaker 4>And then kind of in the smaller I just generally

0:33:04.480 --> 0:33:08.000
<v Speaker 4>think about kind of this this group of the sub

0:33:08.080 --> 0:33:11.440
<v Speaker 4>one hundred billion I mentioned our et off that kind

0:33:11.440 --> 0:33:12.200
<v Speaker 4>of plays into that.

0:33:12.920 --> 0:33:15.240
<v Speaker 1>Dan, I know you've got a four trillion dollar valuation

0:33:15.480 --> 0:33:19.080
<v Speaker 1>call on Apple, so you definitely like that stock. What

0:33:19.120 --> 0:33:20.800
<v Speaker 1>other stocks do you like in twenty.

0:33:20.560 --> 0:33:22.560
<v Speaker 3>Four Well, I think this is going to be the

0:33:22.640 --> 0:33:26.000
<v Speaker 3>year for AI. I look at names like Pall and Teer,

0:33:26.440 --> 0:33:29.520
<v Speaker 3>Mango dB, and I think the rerating that happens on

0:33:29.600 --> 0:33:33.720
<v Speaker 3>Google and Amazon it's just starting when it comes to AI.

0:33:34.120 --> 0:33:36.920
<v Speaker 3>But ultimately at the top of that mound is Microsoft,

0:33:36.920 --> 0:33:39.560
<v Speaker 3>and I think that's a four trillion dollar markap by

0:33:39.640 --> 0:33:40.800
<v Speaker 3>early twenty five.

0:33:41.360 --> 0:33:45.080
<v Speaker 1>What about dislike Stan Well dislikes to me, it's really

0:33:45.160 --> 0:33:45.920
<v Speaker 1>low quality.

0:33:46.000 --> 0:33:49.480
<v Speaker 3>I mean that's why I continue you lift, you know, snap,

0:33:49.680 --> 0:33:52.800
<v Speaker 3>if you looked up in the dictionary, disaster continues to be.

0:33:53.000 --> 0:33:55.920
<v Speaker 3>You know, it's dogate the homework excuse quarter after quarter.

0:33:56.240 --> 0:33:58.560
<v Speaker 3>Those are the two in local quality names that stay

0:33:58.560 --> 0:33:59.400
<v Speaker 3>away from.

0:33:59.120 --> 0:34:01.160
<v Speaker 1>How about you're justslike Genemunster.

0:34:00.920 --> 0:34:04.680
<v Speaker 4>My dislikes would be Netflix. I think that Netflix, it's

0:34:04.720 --> 0:34:08.319
<v Speaker 4>just not a compelling growth story, and I think that

0:34:08.719 --> 0:34:10.200
<v Speaker 4>in the midst of and they just don't really have

0:34:10.239 --> 0:34:13.440
<v Speaker 4>a good AI play and so still a large company.

0:34:13.600 --> 0:34:16.120
<v Speaker 4>Is still a two hundred and fifteen billion dollar market

0:34:16.120 --> 0:34:18.719
<v Speaker 4>cap that is in a hyper competitive market with not

0:34:18.880 --> 0:34:20.040
<v Speaker 4>much innovation going on.

0:34:20.360 --> 0:34:23.719
<v Speaker 1>Okay, we'll see if those hold up as we get

0:34:23.719 --> 0:34:26.320
<v Speaker 1>to the rest of twenty twenty four. Here. So great

0:34:26.400 --> 0:34:29.200
<v Speaker 1>to have both the guys for the entire hour, Gene Munster,

0:34:29.800 --> 0:34:33.720
<v Speaker 1>managing partner at Deepwater Asset Management and Dan Ives, senior

0:34:33.719 --> 0:34:36.840
<v Speaker 1>equity research analyst at Webbush Securities. Let's see if we

0:34:36.880 --> 0:34:38.879
<v Speaker 1>can make this a tradition. Happy New Year to both

0:34:38.960 --> 0:34:41.400
<v Speaker 1>of you, and thanks to you as well for joining

0:34:41.440 --> 0:34:44.040
<v Speaker 1>us on this New Year's holiday. But stay right here.

0:34:44.200 --> 0:34:47.319
<v Speaker 1>The day's top stories and global business headlines are coming

0:34:47.400 --> 0:34:50.439
<v Speaker 1>up right now.