WEBVTT - Single Best Idea with Tom Keene: Ives and Munster

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News.

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<v Speaker 2>A special edition of Single Best Idea. It has been

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<v Speaker 2>life changing. There are two groups of people, those that

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<v Speaker 2>are in technology and those that are not. And maybe

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<v Speaker 2>you're in technology through individual stock ownership. Maybe you're looking

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<v Speaker 2>at a Bentley this weekend off your Nvidia purchases, or

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<v Speaker 2>maybe not. Maybe in your four oh one K you've

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<v Speaker 2>got a tech overweight or a tech nonweight. But in

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<v Speaker 2>America there's exactly two groups of people. Long ago, in

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<v Speaker 2>far away, there was a guy in a normal business

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<v Speaker 2>suit at Webbush. Long ago in far away, there was

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<v Speaker 2>a guy up in Minnesota with Piper Jeffrey holding court

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<v Speaker 2>on technology. Some of us took notes, and some of

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<v Speaker 2>us got very lucky by believing in what Dan Eyes

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<v Speaker 2>and Gene Munster said. This is the highlight of the

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<v Speaker 2>summer on technology. Bloomberg Daybreak are Nathan Hager with Ives

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<v Speaker 2>and Munster.

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<v Speaker 1>Thank you so much for joining us for this special

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<v Speaker 1>edition of Bloomberg Daybreak. US markets are closed for the

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<v Speaker 1>Independence Day holiday. I'm Nathan Hager coming up this hour.

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<v Speaker 1>They correctly predicted the artificial intelligence boom that led to

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<v Speaker 1>record highs for several tech companies this year. Now they're

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<v Speaker 1>back to assess whether this high tech bull has more

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<v Speaker 1>room to run or whether it's headed into bubble territory.

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<v Speaker 1>Joining us for the entire hour, our Gene Munster, managing

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<v Speaker 1>partner at Deepwater Asset Management, and web Bush Security, senior

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<v Speaker 1>equity research Channalyist Dan ives gentlemen, thanks once again for

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<v Speaker 1>joining us for this special roundtable discussion on all things tech.

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<v Speaker 1>And Dan, I want to start with you because you

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<v Speaker 1>really have been out front on the bull case for

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<v Speaker 1>AI over the last well really a couple of years now.

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<v Speaker 1>So here's what you had to tell us around this

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<v Speaker 1>time last fourth of July.

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<v Speaker 3>My opinion, it's a fourth Industrial Revolution that's playing out

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<v Speaker 3>in front of our eyes. We believe this is the

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<v Speaker 3>start of a new tech bull market, and which is

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<v Speaker 3>why we think second half of the year tech could

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<v Speaker 3>be up fifteen, potentially twenty percent in a much broader

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<v Speaker 3>rally because of what's happening from a growth perspective. I

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<v Speaker 3>think it's ais tip of the iceberg.

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<v Speaker 1>And since then, the Magnificent seven stocks tracked by Bloomberg

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<v Speaker 1>are up fifty five zero percent on the total return.

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<v Speaker 1>Where Dan can these megacap tech names keep up that

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<v Speaker 1>kind of momentum.

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<v Speaker 3>Look, it's nine pm. Still in this party, this AI

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<v Speaker 3>party that I believe goes to four am. I mean,

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<v Speaker 3>this is the start of a two year tech cycle

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<v Speaker 3>because it's something where it's the multiplier for every dollar

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<v Speaker 3>spent on nvidio chip, there's an eight to ten multiplier

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<v Speaker 3>across software, across infrastructure, across the rest of that. That's

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<v Speaker 3>why this is a nineteen ninety five movement, not a

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<v Speaker 3>ninety nine nine movement. Get out the popcorn, we shoe

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<v Speaker 3>detect bile market continues.

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<v Speaker 1>So let's bring you in on this, Gene. Here's what

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<v Speaker 1>you had to tell us about big text potential this

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<v Speaker 1>time last year.

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<v Speaker 4>There's gonna be some ebbs and flows in terms of

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<v Speaker 4>the stocks in the near term, but I think that

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<v Speaker 4>it will ultimately meet, exceed, will comfortably exceed all of

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<v Speaker 4>the hype. And the hype is just intense. I mean,

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<v Speaker 4>this universal optimism around it seems hard to believe, but

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<v Speaker 4>I think it is. There is substance behind it.

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<v Speaker 1>One year later, Gene is the substance still backing up

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<v Speaker 1>the hype.

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<v Speaker 4>It is, and that's the part that Dan and I

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<v Speaker 4>keep a close eye on. As every quarter and in

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<v Speaker 4>the middle the quarters, tracking how these companies are doing.

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<v Speaker 4>Is it ultimately exceeding meeting disappointing to what those bars

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<v Speaker 4>are and it's so far it's just been exceeding really

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<v Speaker 4>across the board in vidious numbers. Of course, is the

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<v Speaker 4>bell weather. Dan talks about the chips piece, that being

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<v Speaker 4>the front end of it and that multiplier effect, But

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<v Speaker 4>that's where I'm focused heavily on, is just what's going

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<v Speaker 4>on the hardware side. Micron had exceeded estimates guided inline

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<v Speaker 4>for the for the September core for their August quarter,

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<v Speaker 4>which in AI world that may be viewed as a

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<v Speaker 4>slight disappointment, but it did include an acceleration in revenue growth,

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<v Speaker 4>so it's going from eighty two to ninety percent. So, Nathan,

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<v Speaker 4>this is all intact, and my view that the substance

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<v Speaker 4>will exceed the hype continues to be confirmed as we progress.

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<v Speaker 1>Well, let's talk a little bit more about in video

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<v Speaker 1>because obviously there's been so much attention on the AI chip. Darling, Dan,

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<v Speaker 1>You've called Jensen Wong the CEO, the godfather of AI.

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<v Speaker 1>But godfathers often have targets on their backs. I mean,

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<v Speaker 1>how big a target is in video right now. When

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<v Speaker 1>it comes to the overall chip space.

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<v Speaker 3>Look, they're a target, but it's their world and everyone

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<v Speaker 3>else's paying rent In terms of where we are, I mean,

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<v Speaker 3>they're chips, they're GPUs and we've seen this across the

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<v Speaker 3>you know, across the board in our trips to Asia.

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<v Speaker 3>It's the new oil, the new gold, and at the

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<v Speaker 3>top of the mountain it's the godfather of AI. Jensen

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<v Speaker 3>and Nvidia. In that mount rushmore of AI along with

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<v Speaker 3>the Della and others that want to join. But this

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<v Speaker 3>is they're miles ahead of the competition. It'll ebb and

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<v Speaker 3>flow a year from now. I think we're looking at

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<v Speaker 3>three four trillion dollar markaps Apple, Microsoft and Nvidia, And

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<v Speaker 3>as Jeans talked about throughout the year, it's far through

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<v Speaker 3>the trees. You don't get too caught up with sometimes

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<v Speaker 3>the gyrations we tweet quarter quarter it's where this is

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<v Speaker 3>all going.

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<v Speaker 1>Well, we have seen gyrations just in recent weeks since

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<v Speaker 1>the ten for one stock split for in Vidia gene.

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<v Speaker 1>Where do you see in Nvidia going at this point?

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<v Speaker 4>I mean, that's exactly it. This is just gyrations and

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<v Speaker 4>it's I believe it's going higher. I think it could

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<v Speaker 4>go materially higher. And it comes to a basic question

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<v Speaker 4>that investors have to ask themselves, and it's do you

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<v Speaker 4>believe if you believe that we're in currently a generative

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<v Speaker 4>AI inspired world it hasn't really taken impact on most

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<v Speaker 4>of our lives, but a generative AI inspired world. And

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<v Speaker 4>if you believe that eventually that leads to artificial general intelligence,

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<v Speaker 4>which is a light year ahead of genitive AI. And

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<v Speaker 4>if you believe that superintelligence is somewhere on the horizon

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<v Speaker 4>five to ten twenty years on the horizon, if you

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<v Speaker 4>believe that that is the future, which I hold those

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<v Speaker 4>then and video is going a lot higher in video

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<v Speaker 4>if AI works, in Vidia has to work.

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<v Speaker 1>Speaking with Gene Munster, the managing partner at Deepwater Asset Management,

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<v Speaker 1>and Dan Ives, senior equity research analyst at web Bust Securities,

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<v Speaker 1>joining us in studio, Gene is joining us via zoom, Dan,

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<v Speaker 1>where do you see the trajectory for in video? I mean,

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<v Speaker 1>you've talked a lot about how the run seems like

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<v Speaker 1>it has legs. What turns in video from the kind

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<v Speaker 1>of growth that we've seen over the last several months

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<v Speaker 1>to something of more stability.

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<v Speaker 3>I mean, the use cases are just starting, so when

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<v Speaker 3>you look a numbers, the street is still behind where

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<v Speaker 3>the demand and where numbers actually go. So we could

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<v Speaker 3>go through intra court people saying in type and stock

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<v Speaker 3>sell off, but it all comes down to demand, and

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<v Speaker 3>we are still in from baseball perspective, we're in the

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<v Speaker 3>top of the second, bottom of the first in terms

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<v Speaker 3>of where this is all heading, and they're the only

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<v Speaker 3>show in town in terms of those chips. That's why

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<v Speaker 3>I believe this is one where they continue to defy

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<v Speaker 3>show numbers that I think are jaw droppers, and now

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<v Speaker 3>the second, third, fourth derivatives hit across the rest of tech.

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<v Speaker 1>Well, when it comes to that demand piece, Gene, I mean,

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<v Speaker 1>can in Vidia meet the kind of demand that we've

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<v Speaker 1>seen from a lot of its enterprise customers. Can the

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<v Speaker 1>suppliers that in Vidia relies on meet that kind of demand?

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<v Speaker 4>The best thing, the answer to simple answer is no,

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<v Speaker 4>because everything that Dan's talking about that this early innings

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<v Speaker 4>and we're just starting to build this infrastructure. Despite the

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<v Speaker 4>breathtaking growth that Nvidia has had, we're just still early

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<v Speaker 4>and we're going to see a whole new class. It

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<v Speaker 4>has been the hyperscalers. We're going to see a whole

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<v Speaker 4>new class of enterprisers. There's be industrial AI, there'll be

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<v Speaker 4>sovereign AI from countries, and so they will start to

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<v Speaker 4>be buying these chips, and ultimately I think it will

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<v Speaker 4>be very difficult for TSM to keep up with in

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<v Speaker 4>Vidia's demand. It's a great thing for investors because of course,

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<v Speaker 4>when they have good numbers and they say we can't

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<v Speaker 4>keep up, that allows investors to kind of continue to

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<v Speaker 4>maintain a lot of their optimism. And so I think

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<v Speaker 4>it's actually okay that it'll be fine for the stocks

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<v Speaker 4>that in Vidia can't keep up with this demand. And

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<v Speaker 4>I had a question for Dan, and you know, when

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<v Speaker 4>I think about this kind of evolution and what's going

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<v Speaker 4>on now is generative AI, and then how would you

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<v Speaker 4>I describe there's a light year gap between generative AI

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<v Speaker 4>and general intelligence because this is where you and I

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<v Speaker 4>we're focused. The reason why we're not worried about quarters

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<v Speaker 4>is worth thinking two three years down the road. And

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<v Speaker 4>how do you think about that piece of it, the

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<v Speaker 4>general intelligence piece of it, relative or just in terms

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<v Speaker 4>of the the applications that could present themselves and the

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<v Speaker 4>opportunity for wealth creation around.

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<v Speaker 3>Yeah, it's a great question. And look, Gene, I think

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<v Speaker 3>from everything, all the work we've done around the world,

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<v Speaker 3>we think about sixty percent of data that's never been

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<v Speaker 3>able to be cracked or used by enterprises and ultimately

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<v Speaker 3>by consumers is now going to get unlocked. And you're

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<v Speaker 3>going to have on the consumer side hundreds of apps

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<v Speaker 3>while them through Apple. That is how most consumers are

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<v Speaker 3>going to interact with AI in a way that they

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<v Speaker 3>couldn't even imagine today. Enterprise is the same thing. As

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<v Speaker 3>much as it's scary sci fi twenty first century, I

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<v Speaker 3>think the reality is is that enterprises are finding massive

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<v Speaker 3>use cases ROI, and that's why we believe there's a

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<v Speaker 3>lot of these companies ten hours in earnings could be

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<v Speaker 3>fourteen to fifteen.

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<v Speaker 1>In terms of the advances that we could see. It

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<v Speaker 1>raises a lot of questions when you talk about a

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<v Speaker 1>leap from the kind of large language models that we're

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<v Speaker 1>seeing now to this general intelligence. It raises the questions

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<v Speaker 1>about whether artificial intelligence is advancing too fast for companies

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<v Speaker 1>and people to keep up with the moral questions as well.

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<v Speaker 1>I wonder how Gene, you think about some of those

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<v Speaker 1>questions As a lot of these big tech companies do

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<v Speaker 1>try to get to some of these massive leaps that

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<v Speaker 1>used to be science fiction, but do seem like they're

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<v Speaker 1>becoming that much closer to science fact.

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<v Speaker 4>Yeah, the numbers are supporting it, just in terms of

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<v Speaker 4>the breath taking expansion and intelligence of these models. Just

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<v Speaker 4>to put some perspective around it, open AIGPT three had

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<v Speaker 4>about one hundred and twenty billion parameters. They haven't given

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<v Speaker 4>the numbers for four to oh, but it's estimated to

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<v Speaker 4>be about a trillion. And that's kind of a simple

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<v Speaker 4>way to think about how smart the model is is

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<v Speaker 4>to look at the number of parameters. Think of this

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<v Speaker 4>as it's over a period of a year, it's getting

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<v Speaker 4>going almost a ten x improvement and intelligence. So this

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<v Speaker 4>these are kind of growth curves that are that just

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<v Speaker 4>we haven't seen makes the Internet growth look JV and

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<v Speaker 4>I think when it comes to the pauses, Dan and

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<v Speaker 4>I have talked about the benefits the benefits for companies

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<v Speaker 4>to continue to build into this, and I think it's

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<v Speaker 4>I appreciate your point about how can this be? You know,

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<v Speaker 4>what are the negative sides? And I would just my

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<v Speaker 4>view is this you can debate a lot of angles

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<v Speaker 4>around how can this be negative or positive? I think

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<v Speaker 4>the one piece that cannot be debated is it's going

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<v Speaker 4>to get harder for people to distinguish what is truth

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<v Speaker 4>and fiction and all the ramifications around that. I think

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<v Speaker 4>you can You're going to see more tribalism. I think

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<v Speaker 4>people just because you're going to get progressively easier to

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<v Speaker 4>get fed what you want to hear. And so I

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<v Speaker 4>think that that sides the most actually concerning part of

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<v Speaker 4>me and just think about like global stability is just

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<v Speaker 4>how AI is going to be used to influence how

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<v Speaker 4>people think. I'm not worried about robots shooting people up

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<v Speaker 4>or anything like that. I think it's this is just

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<v Speaker 4>about how AI influences how we think.

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<v Speaker 2>Now.

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<v Speaker 1>I want to get deeper into those questions as we

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<v Speaker 1>get deeper into the program. But Dan, just to close

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<v Speaker 1>out this segment, I mean, we've seen these massive multiples

0:13:22.600 --> 0:13:25.360
<v Speaker 1>for in Nvidia and other companies like it in terms

0:13:25.400 --> 0:13:28.840
<v Speaker 1>of you know, the levels the valuations that they're trading at.

0:13:29.080 --> 0:13:32.040
<v Speaker 1>Is that a new normal? These kinds of massive priced

0:13:32.040 --> 0:13:34.559
<v Speaker 1>earnings ratios that we're seeing for companies like in Vidio.

0:13:34.679 --> 0:13:37.080
<v Speaker 3>I mean, that's been what we've talked about it's a

0:13:37.120 --> 0:13:40.480
<v Speaker 3>new normal. I think how many have missed this. They

0:13:40.520 --> 0:13:44.200
<v Speaker 3>go back to their historical DCF spreadsheets while they're in

0:13:44.200 --> 0:13:48.679
<v Speaker 3>their hibernation monas bears it's a new error.

0:13:49.040 --> 0:13:51.719
<v Speaker 1>And we'll continue this roundtable discussion with Dan Ives of

0:13:51.760 --> 0:13:54.880
<v Speaker 1>Webbush and Gene Munster of Deepwater Asset. Is this special

0:13:54.920 --> 0:13:58.280
<v Speaker 1>fourth of July edition of Bloomberg Daybreak continues. It's twenty

0:13:58.320 --> 0:14:01.559
<v Speaker 1>minutes past the hour. I'm Nathan, and this is Bloomberg.

0:14:11.640 --> 0:14:14.760
<v Speaker 1>Welcome back to this special edition of Bloomberg Daybreak. I'm

0:14:14.800 --> 0:14:17.640
<v Speaker 1>Nathan Hager. US markets are closed for the fourth of July,

0:14:17.840 --> 0:14:20.200
<v Speaker 1>but we're breaking out the fireworks for a high tech

0:14:20.280 --> 0:14:23.600
<v Speaker 1>power hour. We're back with Dan Ives, senior equity research

0:14:23.680 --> 0:14:27.320
<v Speaker 1>analystic web Bush Securities, and deep Water Asset Management's managing

0:14:27.360 --> 0:14:30.400
<v Speaker 1>partner Gene Munster. And guys. We've been talking a lot

0:14:30.440 --> 0:14:33.280
<v Speaker 1>about Nvidia for obvious reasons. I want to get into

0:14:33.320 --> 0:14:36.560
<v Speaker 1>some other names, though, with exposure to the AI space,

0:14:36.680 --> 0:14:39.800
<v Speaker 1>there has been a lot of talk about Tesla as

0:14:39.840 --> 0:14:42.920
<v Speaker 1>a potential AI play. Dan, I know you've been bullish

0:14:42.920 --> 0:14:45.680
<v Speaker 1>on this stock for quite some time. How important is

0:14:45.800 --> 0:14:48.120
<v Speaker 1>artificial intelligence going to be? Though? When it comes to

0:14:48.200 --> 0:14:49.720
<v Speaker 1>Tesla's longer term growth.

0:14:49.800 --> 0:14:52.880
<v Speaker 3>It's the wingepin to the bull case. Because I've never

0:14:53.040 --> 0:14:56.880
<v Speaker 3>viewed Tesla as an auto company, as a car company.

0:14:56.880 --> 0:15:00.200
<v Speaker 3>I viewed a disruptive tech and when we I think

0:15:00.200 --> 0:15:03.560
<v Speaker 3>about autonomous and FSD, even when some of the things

0:15:03.560 --> 0:15:07.920
<v Speaker 3>that are happening in China the next five, eight, ten years,

0:15:08.200 --> 0:15:10.720
<v Speaker 3>the biggest bowl case for Tesla is I could argue

0:15:10.760 --> 0:15:15.320
<v Speaker 3>it's probably the most undervalued AI name in the market

0:15:15.440 --> 0:15:18.760
<v Speaker 3>relative to use cases. That's what we're focused on. It

0:15:18.760 --> 0:15:21.200
<v Speaker 3>it's very easy to focus on, Okay, they missed deliveries

0:15:21.240 --> 0:15:24.720
<v Speaker 3>by x amount, that's far as through the trees. We

0:15:24.720 --> 0:15:29.520
<v Speaker 3>were focused on AI, FSD, autonomous and I know gene

0:15:30.000 --> 0:15:32.400
<v Speaker 3>Is does a ton of work here, a ton of

0:15:32.400 --> 0:15:35.960
<v Speaker 3>great work in terms of autonomous FSD, and I think

0:15:36.080 --> 0:15:39.480
<v Speaker 3>this to me is a new it's really going to

0:15:39.520 --> 0:15:42.359
<v Speaker 3>be in transformation that we see in the auto industry.

0:15:42.600 --> 0:15:45.800
<v Speaker 1>Well, gene Is that central to how you see Tesla

0:15:46.040 --> 0:15:47.440
<v Speaker 1>right now. I mean, there have been a lot of

0:15:47.480 --> 0:15:51.440
<v Speaker 1>promises over the years from Elon Musk about how the

0:15:51.560 --> 0:15:56.360
<v Speaker 1>data that Tesla's been able to collect from drivers over

0:15:56.400 --> 0:15:59.800
<v Speaker 1>the years is going to feed into artificial intelligence potentially.

0:15:59.800 --> 0:16:02.160
<v Speaker 1>Do you see that paying off anytime soon.

0:16:02.720 --> 0:16:03.080
<v Speaker 2>I do.

0:16:03.160 --> 0:16:05.760
<v Speaker 4>I think it's going to pay off faster than what

0:16:05.840 --> 0:16:07.880
<v Speaker 4>people expect. I think we're going to have a GPT

0:16:08.120 --> 0:16:11.360
<v Speaker 4>moment when it comes to autonomy and you look at

0:16:11.360 --> 0:16:13.680
<v Speaker 4>the broader auto space. This has kind of been a

0:16:13.720 --> 0:16:16.560
<v Speaker 4>surprising year where there's been more investment. Late last year

0:16:16.600 --> 0:16:19.560
<v Speaker 4>we saw companies pairing back, some of the big auto

0:16:19.600 --> 0:16:22.280
<v Speaker 4>paying back in their investment in autonomy. We've seen more

0:16:22.480 --> 0:16:25.520
<v Speaker 4>increases this year from some of the traditional ones. But

0:16:25.600 --> 0:16:29.520
<v Speaker 4>that said, Tesla still is far and above making the

0:16:29.560 --> 0:16:33.760
<v Speaker 4>most investments in this and really, as Dan mentioned, this

0:16:33.840 --> 0:16:37.840
<v Speaker 4>is really the central opportunity to invest in Teslas around

0:16:37.880 --> 0:16:40.920
<v Speaker 4>what they're going to do with autonomy and what I

0:16:40.920 --> 0:16:42.640
<v Speaker 4>think is beyond So Nathan, I think it's going to

0:16:42.720 --> 0:16:44.760
<v Speaker 4>come earlier than what we think. My prediction is that

0:16:45.680 --> 0:16:50.680
<v Speaker 4>if you're probably seven eight years old today, you're never

0:16:50.880 --> 0:16:52.640
<v Speaker 4>going to have the need to drive a car, So

0:16:52.640 --> 0:16:55.800
<v Speaker 4>I think within the next five years. I think it

0:16:55.840 --> 0:16:58.680
<v Speaker 4>could be as early as two or three years. The

0:16:58.800 --> 0:17:01.280
<v Speaker 4>legislation piece is going to be the big one holding

0:17:01.320 --> 0:17:03.200
<v Speaker 4>this up, and then one other piece to the Tesla

0:17:03.440 --> 0:17:05.520
<v Speaker 4>AI story. We're gonna hear more about it obviously on

0:17:05.560 --> 0:17:08.280
<v Speaker 4>August eighth when they show their three new vehicles, and

0:17:08.400 --> 0:17:10.080
<v Speaker 4>if us he's going to be a big part of

0:17:10.119 --> 0:17:14.080
<v Speaker 4>that lineup. But one other piece is related to Optimists,

0:17:14.119 --> 0:17:16.480
<v Speaker 4>and it's almost like, I don't know how you feel

0:17:16.480 --> 0:17:20.560
<v Speaker 4>about this, Dan, about when you talk about Optimists with investors,

0:17:20.920 --> 0:17:24.760
<v Speaker 4>it is if there's a sense like you almost lose

0:17:24.840 --> 0:17:28.679
<v Speaker 4>credibility to say that it has real potential because it

0:17:28.840 --> 0:17:32.440
<v Speaker 4>just seems so far far down the road. If something

0:17:32.440 --> 0:17:36.560
<v Speaker 4>good happens in Optimists, the stock doesn't move. But I

0:17:36.600 --> 0:17:38.680
<v Speaker 4>think that's another big piece. I love your take, Dan,

0:17:38.840 --> 0:17:42.080
<v Speaker 4>just on like, is Optimists something that an investors should

0:17:42.080 --> 0:17:42.800
<v Speaker 4>care about today?

0:17:42.880 --> 0:17:45.280
<v Speaker 3>Yeah, exactly Jane's point. If I bring that up in

0:17:45.320 --> 0:17:51.360
<v Speaker 3>an investor meeting, it's like the laughter just starts, Well,

0:17:51.960 --> 0:17:53.239
<v Speaker 3>how could you even talk about that?

0:17:53.480 --> 0:17:53.680
<v Speaker 2>Yeah?

0:17:53.680 --> 0:17:55.399
<v Speaker 1>I mean because a lot of the thing is that,

0:17:55.520 --> 0:17:57.440
<v Speaker 1>you know, there have been a lot of promises over

0:17:57.480 --> 0:18:00.240
<v Speaker 1>the years for Elon Musk that autonomous is going to

0:18:00.280 --> 0:18:02.240
<v Speaker 1>pay off, There's going to be a robo taxi. Obviously

0:18:02.280 --> 0:18:07.280
<v Speaker 1>there's the August eighth unveil that we're expecting, but there's

0:18:07.359 --> 0:18:10.439
<v Speaker 1>been a lot of expectation over the years and not

0:18:10.840 --> 0:18:14.520
<v Speaker 1>as much payoff arguably that many investors might be looking for.

0:18:14.640 --> 0:18:17.720
<v Speaker 3>But I would I'd agree, but also disagree, because the

0:18:17.760 --> 0:18:20.520
<v Speaker 3>point is there was a point where if you said

0:18:20.640 --> 0:18:26.119
<v Speaker 3>Tesla's going to be producing a million units per year exactly,

0:18:26.160 --> 0:18:30.480
<v Speaker 3>and Gene remembers, they'd be like, wow, you must drank

0:18:30.480 --> 0:18:32.680
<v Speaker 3>a lot of rose or had a good Friday night.

0:18:33.080 --> 0:18:35.919
<v Speaker 3>And now we're coast to two million, and look at

0:18:36.000 --> 0:18:39.080
<v Speaker 3>profitability when in today how much free cash are the

0:18:39.160 --> 0:18:41.520
<v Speaker 3>general relative to when they were losing money?

0:18:41.920 --> 0:18:44.760
<v Speaker 1>Now you could argue that maybe I'm looking at the

0:18:45.200 --> 0:18:47.520
<v Speaker 1>trees for the forest here. But you know, there has

0:18:47.600 --> 0:18:50.600
<v Speaker 1>been some reporting from Bloomberg Green in recent weeks that

0:18:50.640 --> 0:18:53.760
<v Speaker 1>Tesla looks like it's on track to lose you know

0:18:53.880 --> 0:18:56.880
<v Speaker 1>something that's been a bragging point for several years, it's

0:18:57.000 --> 0:19:02.119
<v Speaker 1>electric vehicle market majority in the US. Gene just to

0:19:02.200 --> 0:19:07.960
<v Speaker 1>that point about Tesla as its base business of electric

0:19:08.040 --> 0:19:11.480
<v Speaker 1>vehicle manufacture, how much is it at risk of letting

0:19:11.520 --> 0:19:14.160
<v Speaker 1>the competition eat into its market share?

0:19:14.520 --> 0:19:17.840
<v Speaker 4>I think competitions in a much worse spot than people

0:19:18.040 --> 0:19:21.760
<v Speaker 4>understand right now. And I mentioned some of the step

0:19:21.800 --> 0:19:24.000
<v Speaker 4>forwards that some of these traditional autels have made around

0:19:24.040 --> 0:19:26.920
<v Speaker 4>FSD in the past six months. But if you look

0:19:26.920 --> 0:19:29.640
<v Speaker 4>at collectively what they've done over the past year, absent

0:19:29.680 --> 0:19:34.399
<v Speaker 4>what Volkswagen's recent investment in Rivian, they've taken five steps back.

0:19:34.960 --> 0:19:38.359
<v Speaker 4>They want to protect, largely protect their gas business, and

0:19:38.520 --> 0:19:41.280
<v Speaker 4>making an electric car is different than making a gas car.

0:19:41.520 --> 0:19:45.040
<v Speaker 4>This is the difference between making a lawnmower and a supercomputer.

0:19:45.600 --> 0:19:48.200
<v Speaker 4>And I think that what you will see is, even

0:19:48.200 --> 0:19:50.840
<v Speaker 4>though there's been some improvements in market share here and there,

0:19:51.119 --> 0:19:55.800
<v Speaker 4>their ability to scale at a profitable rate is going

0:19:55.840 --> 0:19:58.520
<v Speaker 4>to be challenging, and ultimately, I think it's a catch

0:19:58.560 --> 0:20:02.280
<v Speaker 4>twenty two. I think Tesla is going to end up

0:20:02.840 --> 0:20:06.720
<v Speaker 4>with twenty twenty five percent market share of cars in

0:20:06.760 --> 0:20:08.639
<v Speaker 4>the US. It's down from where it's at today, but

0:20:08.760 --> 0:20:11.840
<v Speaker 4>that is unprecedented kind of market share. One in four

0:20:11.880 --> 0:20:14.680
<v Speaker 4>cars to be Tesla. But I think the reason why

0:20:14.720 --> 0:20:17.919
<v Speaker 4>is it will be the best car for the best price,

0:20:18.400 --> 0:20:20.800
<v Speaker 4>given the features, and I don't think other car companies

0:20:20.840 --> 0:20:22.239
<v Speaker 4>are going to be able to largely keep up.

0:20:22.359 --> 0:20:25.280
<v Speaker 1>You're talking about total market share, not just evis.

0:20:25.040 --> 0:20:27.840
<v Speaker 4>Total market share correct. I think that twenty twenty five

0:20:27.920 --> 0:20:31.440
<v Speaker 4>percent is I'm talking ten years down the road here,

0:20:31.480 --> 0:20:34.880
<v Speaker 4>but I think that that is something again because they

0:20:34.880 --> 0:20:37.720
<v Speaker 4>can scale at a profit way. The consumer brand matters

0:20:37.720 --> 0:20:40.760
<v Speaker 4>and cars a lot, but ultimately they want the best value.

0:20:41.119 --> 0:20:44.200
<v Speaker 1>Speaking with Genemunster of deep Water Asset Management and Dan

0:20:44.280 --> 0:20:47.360
<v Speaker 1>Ives of web Bush Securities, and just to wrap things

0:20:47.440 --> 0:20:51.040
<v Speaker 1>up a little bit on Tesla, Dan, do you feel

0:20:51.320 --> 0:20:55.560
<v Speaker 1>like the company is back on track with Elon Musk

0:20:55.640 --> 0:21:02.040
<v Speaker 1>after all the rigmarole around x formerly Twitter, the pay package,

0:21:02.240 --> 0:21:05.680
<v Speaker 1>the reincorporation, all those questions that when Elon Musk's way,

0:21:05.800 --> 0:21:08.640
<v Speaker 1>is Elon Musk still the guy for this company?

0:21:08.680 --> 0:21:11.760
<v Speaker 3>I mean, look, Tesla's must Musk is Tesla. So that's

0:21:11.800 --> 0:21:14.720
<v Speaker 3>why everything that in terms of that twilight zoning that

0:21:14.720 --> 0:21:17.440
<v Speaker 3>we saw in Delaware with the com package, even though

0:21:17.480 --> 0:21:21.200
<v Speaker 3>shareholders approved it. The point is that we're not talking

0:21:21.240 --> 0:21:25.119
<v Speaker 3>about Tesla being a trillion two trillion dollar markap without Musk.

0:21:25.600 --> 0:21:27.200
<v Speaker 3>I mean, you're talking about what i'd argue Meyer and

0:21:27.240 --> 0:21:31.600
<v Speaker 3>day Albert Einstein of course has flaws, has issues. We

0:21:31.640 --> 0:21:34.320
<v Speaker 3>all know it in terms of what comes with Musk.

0:21:35.080 --> 0:21:39.360
<v Speaker 3>But when you look at autonomous, you look at when

0:21:39.400 --> 0:21:42.359
<v Speaker 3>you actually go through the factories, when you go through Austin,

0:21:42.400 --> 0:21:45.119
<v Speaker 3>you go through Freemont. You're in Nevaden, you see the

0:21:45.160 --> 0:21:48.040
<v Speaker 3>actual battery factor. You go to China, you have a

0:21:48.080 --> 0:21:50.119
<v Speaker 3>different perspective what they've been able to do, and then

0:21:50.160 --> 0:21:52.359
<v Speaker 3>you look at all these other EV players that have fallen.

0:21:52.400 --> 0:21:56.480
<v Speaker 3>It's a graveyard. Because they talk a game, big game,

0:21:57.080 --> 0:22:01.119
<v Speaker 3>but as Gene said perfectly, the reality is so much

0:22:01.200 --> 0:22:04.240
<v Speaker 3>more difficult. And I think even in Detroit they figured

0:22:04.280 --> 0:22:07.000
<v Speaker 3>out with Marry and what Farley's seen as well, how

0:22:07.040 --> 0:22:09.000
<v Speaker 3>hard is to produce evs profitably.

0:22:09.200 --> 0:22:11.080
<v Speaker 1>I want to shift to another company that both of

0:22:11.119 --> 0:22:14.840
<v Speaker 1>you follow very closely, that is Apple, and just to

0:22:14.880 --> 0:22:17.880
<v Speaker 1>stick with the artificial intelligence theme as well, we've got

0:22:18.040 --> 0:22:22.600
<v Speaker 1>Apple Intelligence rolled out at the latest Worldwide Developers Conference. Gene,

0:22:22.640 --> 0:22:25.040
<v Speaker 1>I know you follow this company very closely. Is Apple

0:22:25.480 --> 0:22:27.000
<v Speaker 1>back on track when it comes to AI?

0:22:27.760 --> 0:22:29.840
<v Speaker 4>They are, And this is just going to be the

0:22:30.000 --> 0:22:32.879
<v Speaker 4>sleeper AI story of the next three to five years.

0:22:33.440 --> 0:22:36.600
<v Speaker 4>And the AI piece isn't going to start impacting, probably

0:22:36.760 --> 0:22:40.800
<v Speaker 4>start until the December quarter. The streets having some nice improvements,

0:22:41.040 --> 0:22:43.480
<v Speaker 4>going from three four or five percent year VIA revenue

0:22:43.480 --> 0:22:46.399
<v Speaker 4>growth in the next few quarters seven percent next year. I

0:22:46.400 --> 0:22:48.280
<v Speaker 4>think that number is going to be closer to ten

0:22:48.280 --> 0:22:51.840
<v Speaker 4>percent plus revenue growth for twenty twenty for calendar twenty five,

0:22:53.000 --> 0:22:58.000
<v Speaker 4>So I think that effectively. And Dan, I've seen your

0:22:58.040 --> 0:23:00.520
<v Speaker 4>work on this. I think you've been just on just

0:23:00.600 --> 0:23:04.000
<v Speaker 4>as this is the best consumer facing AI company. I

0:23:04.040 --> 0:23:06.679
<v Speaker 4>think that's the language that you've used. I agree with that.

0:23:06.800 --> 0:23:09.240
<v Speaker 4>I think that when you think about AI, a lot

0:23:09.240 --> 0:23:10.920
<v Speaker 4>of the attention goes to Nvidio kind of on the

0:23:10.960 --> 0:23:14.560
<v Speaker 4>build side. When it comes to consumer AI, Apple is

0:23:14.720 --> 0:23:18.880
<v Speaker 4>best positioned, I think, to bring hardware, software services. It's

0:23:18.920 --> 0:23:22.119
<v Speaker 4>their taglines. But it's true too, nobody brings it better

0:23:22.359 --> 0:23:26.160
<v Speaker 4>together better. What that means is the average person who

0:23:26.200 --> 0:23:30.280
<v Speaker 4>today has little exposure to AI will have a lot

0:23:30.320 --> 0:23:33.280
<v Speaker 4>of exposure as this gets weaved into the fabric of

0:23:33.280 --> 0:23:35.640
<v Speaker 4>Apple's products, and that's a revenue opportunity for app.

0:23:35.760 --> 0:23:38.960
<v Speaker 3>And I'd say that was a drop the mic type

0:23:39.480 --> 0:23:42.240
<v Speaker 3>what Gene just said. And I know Gene talks about

0:23:42.680 --> 0:23:46.080
<v Speaker 3>like twenty percent, right, twenty percent of the world, like

0:23:46.200 --> 0:23:49.600
<v Speaker 3>consumers will interact with AI through Apple, through through an

0:23:49.640 --> 0:23:54.920
<v Speaker 3>Apple device. And it's so true because when you look

0:23:55.040 --> 0:23:59.400
<v Speaker 3>at what they did with WWDC, if the initial reaction

0:23:59.640 --> 0:24:03.200
<v Speaker 3>member moose in the street, they can't see forest through trees. Right,

0:24:03.200 --> 0:24:05.760
<v Speaker 3>they've missed Apple from five hundred billion to three trillion,

0:24:05.800 --> 0:24:08.320
<v Speaker 3>they'll miss it three to four trillion. Oh, I didn't

0:24:08.359 --> 0:24:14.919
<v Speaker 3>see anything big Yet you have savants like Gene, and

0:24:14.960 --> 0:24:17.600
<v Speaker 3>then I file in terms of like the way I

0:24:17.760 --> 0:24:20.320
<v Speaker 3>view to be in there, I'm like, this is it?

0:24:20.640 --> 0:24:20.720
<v Speaker 2>This?

0:24:21.240 --> 0:24:25.919
<v Speaker 3>Because every consumer AI is now goes through Coopertino and Apple.

0:24:25.960 --> 0:24:28.600
<v Speaker 3>And guess what that means. That's gonna be a whole

0:24:28.680 --> 0:24:32.160
<v Speaker 3>other renaissance going terms the AI driven upgrade cycle on iPhone,

0:24:32.440 --> 0:24:35.879
<v Speaker 3>but also services those applications hundreds and hundreds that are

0:24:35.880 --> 0:24:38.480
<v Speaker 3>gonna be built. That's for consumers.

0:24:38.680 --> 0:24:40.240
<v Speaker 2>So do you see how long?

0:24:40.560 --> 0:24:42.800
<v Speaker 4>How long does it take for as soon as they

0:24:42.800 --> 0:24:45.960
<v Speaker 4>turn on Apple Intelligence and these new phones come out,

0:24:46.240 --> 0:24:49.000
<v Speaker 4>how long does it take for the kind of the

0:24:49.160 --> 0:24:51.879
<v Speaker 4>word of mouth like people handing their phones to someone

0:24:51.880 --> 0:24:54.960
<v Speaker 4>else and showing the generative features on it? How long

0:24:55.000 --> 0:24:57.760
<v Speaker 4>do you think it takes to start to accelerate the

0:24:57.840 --> 0:24:58.600
<v Speaker 4>iPhone growth?

0:24:58.640 --> 0:25:01.439
<v Speaker 3>Well, I think it's gonna be quick. Think I think

0:25:01.480 --> 0:25:03.840
<v Speaker 3>it's actually gonna be within the cycle even going into

0:25:03.880 --> 0:25:08.040
<v Speaker 3>holiday season. But neither I'd say what Gene's talking about.

0:25:08.080 --> 0:25:09.760
<v Speaker 3>Let's say me and Gene are at dinner in the

0:25:09.880 --> 0:25:12.600
<v Speaker 3>six to one to two. Okay, Okay, We're sitting there

0:25:12.640 --> 0:25:15.600
<v Speaker 3>and Gene show me his new iPhone sixteen is all

0:25:15.640 --> 0:25:17.919
<v Speaker 3>these and I'm like, oh, how do I? Oh? No,

0:25:18.040 --> 0:25:20.800
<v Speaker 3>I can't do that if I have an iPhone fourteen

0:25:21.520 --> 0:25:25.160
<v Speaker 3>or an iPhone thirteen. So this is going to catalyze

0:25:25.760 --> 0:25:28.600
<v Speaker 3>the beginning of an AI driven supercycle.

0:25:29.400 --> 0:25:32.639
<v Speaker 1>How does that play out into some of Apple's smartphone

0:25:32.640 --> 0:25:35.240
<v Speaker 1>competitors like Samsung, Apple.

0:25:35.080 --> 0:25:38.840
<v Speaker 3>Plays chess, they play checkers. Because it goes back to

0:25:39.000 --> 0:25:42.440
<v Speaker 3>two point two billion iOS devices one point five billion iPhones.

0:25:42.760 --> 0:25:46.000
<v Speaker 3>I mean, that's the difference between Apple and everyone else.

0:25:46.840 --> 0:25:50.560
<v Speaker 3>And I pose a question of Gene. Gene, what's your

0:25:50.680 --> 0:25:54.320
<v Speaker 3>view of when everyone goes to you or the Apple

0:25:54.720 --> 0:25:57.680
<v Speaker 3>they're late to the game, like they're late on AI.

0:25:58.240 --> 0:26:01.400
<v Speaker 3>They've missed it. So what would you say to.

0:26:01.400 --> 0:26:04.520
<v Speaker 4>That AI hasn't even started? How can you be late

0:26:04.560 --> 0:26:07.880
<v Speaker 4>to something that hasn't started? And when I now define

0:26:07.880 --> 0:26:11.800
<v Speaker 4>that is that typical person has heard probably heard about AI,

0:26:11.920 --> 0:26:15.200
<v Speaker 4>but actually doesn't use it. The reason why open Ai

0:26:15.520 --> 0:26:19.679
<v Speaker 4>is giving away this incredibly intelligent model by the world's

0:26:19.680 --> 0:26:24.000
<v Speaker 4>smartest foundation model for Apple is because the power of

0:26:24.040 --> 0:26:27.359
<v Speaker 4>their distribution, and that piece is just that is a

0:26:27.359 --> 0:26:31.280
<v Speaker 4>tsunami that's getting unleashed that Apple has just been waiting

0:26:31.320 --> 0:26:35.040
<v Speaker 4>to turn onto the market, and so my sense is

0:26:35.119 --> 0:26:38.199
<v Speaker 4>that time is in the Apple's favor. They waited, they

0:26:38.320 --> 0:26:41.880
<v Speaker 4>put together the right lineup for AI, and now they're

0:26:41.920 --> 0:26:45.359
<v Speaker 4>going to get a chance for everyday people to experience it.

0:26:45.320 --> 0:26:47.280
<v Speaker 1>And we're going to get more into where we are

0:26:47.680 --> 0:26:50.720
<v Speaker 1>in this artificial intelligence cycle. As we wrap up this

0:26:50.880 --> 0:26:54.160
<v Speaker 1>hour long big tech roundtable with Gene Monster of Deepwater

0:26:54.200 --> 0:26:56.920
<v Speaker 1>Asset Management and Dan Ives of web Bush Securities, as

0:26:56.960 --> 0:27:01.000
<v Speaker 1>the special edition of Bloomberg Daybreak continues thirty seven minutes

0:27:01.040 --> 0:27:04.720
<v Speaker 1>past the hour, I'm Nathan Hager, and this is bloom Brown.

0:27:14.960 --> 0:27:17.879
<v Speaker 1>Welcome back to this special edition of Bloomberg Daybreak. I'm

0:27:17.920 --> 0:27:20.720
<v Speaker 1>Nathan Hager. US markets are closed for the fourth of

0:27:20.800 --> 0:27:23.399
<v Speaker 1>July holiday and it's time to close out this special

0:27:23.480 --> 0:27:26.040
<v Speaker 1>high tech roundtable. We have been spending the entire hour

0:27:26.160 --> 0:27:29.480
<v Speaker 1>with Gene Munster, managing partner in Deepwater Asset Management and

0:27:29.560 --> 0:27:33.640
<v Speaker 1>Wedbush Security senior equity research analyst Dan Ives. And Dan,

0:27:33.680 --> 0:27:35.840
<v Speaker 1>I want to pick up on a point that Jane

0:27:35.880 --> 0:27:39.080
<v Speaker 1>made at the end of the last segment that you know,

0:27:39.119 --> 0:27:43.639
<v Speaker 1>we're still at the start of this artificial intelligence boom,

0:27:43.840 --> 0:27:47.159
<v Speaker 1>and how can companies be left behind if we're just

0:27:47.280 --> 0:27:50.359
<v Speaker 1>at the start of it. Do you see companies that

0:27:50.520 --> 0:27:53.280
<v Speaker 1>could be left behind in the aim?

0:27:53.440 --> 0:27:55.640
<v Speaker 3>I think many. I mean I've met with many companies

0:27:55.680 --> 0:27:59.080
<v Speaker 3>They'll say AI thirty times in an hour, and I

0:27:59.200 --> 0:28:02.480
<v Speaker 3>leave the the meeting being like, oh, it's gonna be

0:28:02.520 --> 0:28:06.040
<v Speaker 3>a rough road. So the point is like, it's about

0:28:06.080 --> 0:28:12.560
<v Speaker 3>the technology, the software engineers, the install base, your sales execution.

0:28:12.680 --> 0:28:15.119
<v Speaker 3>I mean, look, if someone told you Dell was an

0:28:15.160 --> 0:28:17.960
<v Speaker 3>AI place six months ago, you say, no way, what

0:28:18.080 --> 0:28:20.800
<v Speaker 3>could oracle? So the stronger are gonna get stronger when

0:28:20.800 --> 0:28:23.080
<v Speaker 3>the losers are going to be a glad The niche

0:28:23.119 --> 0:28:27.119
<v Speaker 3>players squeezed out of sales cycles don't have the scale

0:28:27.320 --> 0:28:32.000
<v Speaker 3>lead to the game lose software engineers. AI engineers are rare,

0:28:32.359 --> 0:28:34.679
<v Speaker 3>right in terms of where we are today. So I

0:28:34.760 --> 0:28:38.360
<v Speaker 3>do think this is gonna be one like strong gets stronger,

0:28:38.520 --> 0:28:39.760
<v Speaker 3>And that's just the reality.

0:28:39.880 --> 0:28:43.280
<v Speaker 1>What do you see things gene? Are there companies that

0:28:43.320 --> 0:28:44.200
<v Speaker 1>could be left behind?

0:28:44.600 --> 0:28:47.920
<v Speaker 4>I think that most companies will have a benefit, but yes,

0:28:47.960 --> 0:28:51.120
<v Speaker 4>there'll be companies that will get left behind. They won't

0:28:51.120 --> 0:28:52.920
<v Speaker 4>be able to keep up. And I think that what

0:28:52.960 --> 0:28:55.920
<v Speaker 4>we've seen is that in the hardware world that is

0:28:55.960 --> 0:28:58.840
<v Speaker 4>where all the action is today. The software software companies,

0:28:58.880 --> 0:29:01.200
<v Speaker 4>the big software companies are based flat. They're down a

0:29:01.200 --> 0:29:04.520
<v Speaker 4>few percent this year, which is remarkable compared to the

0:29:04.520 --> 0:29:07.840
<v Speaker 4>hardware which is up called average fifty percent. So I

0:29:07.880 --> 0:29:11.000
<v Speaker 4>think where the companies get left behind is this up

0:29:11.000 --> 0:29:13.280
<v Speaker 4>and coming class. And at deep Water we focus on

0:29:13.920 --> 0:29:16.080
<v Speaker 4>we have the benefit of doing both public and private.

0:29:16.120 --> 0:29:19.120
<v Speaker 4>And on the private side there is these anointed AI

0:29:19.200 --> 0:29:21.680
<v Speaker 4>companies some of them some of them everyone's heard of

0:29:21.760 --> 0:29:25.080
<v Speaker 4>open ai and Xai, but there's other ones that people

0:29:25.680 --> 0:29:28.560
<v Speaker 4>haven't heard of, like Data Bricks and Andril. And I

0:29:28.640 --> 0:29:31.560
<v Speaker 4>think that there is going to be a class that's

0:29:31.600 --> 0:29:34.240
<v Speaker 4>going to go public in twenty five, twenty six, twenty

0:29:34.280 --> 0:29:37.640
<v Speaker 4>seven that is going to challenge some of the software

0:29:37.680 --> 0:29:41.720
<v Speaker 4>companies that have had great businesses for the last fifteen years.

0:29:41.760 --> 0:29:44.360
<v Speaker 4>And so I think I don't have the these three

0:29:44.400 --> 0:29:46.200
<v Speaker 4>companies are going to be at risk, but I would

0:29:46.240 --> 0:29:49.400
<v Speaker 4>just point out this. I think that the private software

0:29:49.520 --> 0:29:55.200
<v Speaker 4>opportunity around AI is going to be headlines in twenty five,

0:29:55.240 --> 0:29:56.280
<v Speaker 4>twenty six, and twenty.

0:29:56.080 --> 0:29:59.640
<v Speaker 1>Seven speaking of headlines. When we have this kind of

0:29:59.760 --> 0:30:02.920
<v Speaker 1>ma massive run in the stocks and a lot of

0:30:02.920 --> 0:30:05.800
<v Speaker 1>these companies that we talk about day in and day out,

0:30:05.840 --> 0:30:08.800
<v Speaker 1>there's been a lot of regulatory scrutiny as well. I'm

0:30:08.840 --> 0:30:11.480
<v Speaker 1>thinking particularly about a lot of the action that's been

0:30:11.480 --> 0:30:15.680
<v Speaker 1>happening in the European Union when it comes to Apple, now,

0:30:15.760 --> 0:30:21.240
<v Speaker 1>Meta platforms, Dan. Is that a potential risk, potential head

0:30:21.320 --> 0:30:26.360
<v Speaker 1>risk for some of these companies. The idea of regulatory scrutiny.

0:30:26.480 --> 0:30:29.680
<v Speaker 3>Look, I think right now, regulatory is in a mini

0:30:29.760 --> 0:30:33.680
<v Speaker 3>van going fifty five miles an hour in the right lane,

0:30:33.800 --> 0:30:36.240
<v Speaker 3>and in the left lane is the technology in the

0:30:36.280 --> 0:30:41.000
<v Speaker 3>Bugatti going one hundred miles an hour? The point is regulatory.

0:30:41.560 --> 0:30:45.360
<v Speaker 3>I view it as more background there every look the certainties.

0:30:45.400 --> 0:30:50.840
<v Speaker 3>When you wake up coffee, you're gonna get deleyed on

0:30:50.920 --> 0:30:55.160
<v Speaker 3>some mass transportation train plane and the EU is going

0:30:55.240 --> 0:30:58.880
<v Speaker 3>to find a big tech player. So the point is

0:30:59.200 --> 0:31:02.480
<v Speaker 3>this is I think the streets almost become immune and

0:31:02.560 --> 0:31:06.680
<v Speaker 3>I don't see that it spoils the AI party, which

0:31:06.720 --> 0:31:09.320
<v Speaker 3>I believe. It's still nine pm and it goes to

0:31:09.400 --> 0:31:14.640
<v Speaker 3>four am. Geane, do you think Europe just falls so

0:31:14.880 --> 0:31:20.000
<v Speaker 3>far behind us? Asia other parts of the world because

0:31:20.040 --> 0:31:21.880
<v Speaker 3>of this regulatory.

0:31:23.800 --> 0:31:27.280
<v Speaker 4>I think that at the highest level, Yes, I think

0:31:27.320 --> 0:31:30.600
<v Speaker 4>that their restrictive policies are going to have an impact.

0:31:30.640 --> 0:31:32.960
<v Speaker 4>You need to be embracing these and so I do

0:31:33.000 --> 0:31:35.760
<v Speaker 4>think that there's risk what the EU is doing as

0:31:36.240 --> 0:31:41.440
<v Speaker 4>risk beyond what the regulators understand, and so my general

0:31:41.520 --> 0:31:44.680
<v Speaker 4>sense is that they need to make some changes. It's

0:31:44.680 --> 0:31:47.720
<v Speaker 4>not going to happen. I love your analogy about things

0:31:47.760 --> 0:31:50.360
<v Speaker 4>you can depend on in life. Yes, the EU finding

0:31:50.360 --> 0:31:52.840
<v Speaker 4>some going after some big tech company, and I would

0:31:52.840 --> 0:31:54.840
<v Speaker 4>just add one other piece just around this. It's just

0:31:54.880 --> 0:31:57.400
<v Speaker 4>a chess match. And the reason why, just to put

0:31:57.400 --> 0:32:00.000
<v Speaker 4>another point on what Dan said, the reason why invest

0:32:00.320 --> 0:32:03.920
<v Speaker 4>don't care is because they understand that these big tech

0:32:03.920 --> 0:32:07.080
<v Speaker 4>companies can find ways to get around any of the regulations,

0:32:07.120 --> 0:32:12.960
<v Speaker 4>effectively dampening what their potential penalties are. And so I'm

0:32:13.000 --> 0:32:16.120
<v Speaker 4>more confident that big tech can figure it out and

0:32:16.120 --> 0:32:17.320
<v Speaker 4>get around these hurdles.

0:32:17.720 --> 0:32:20.880
<v Speaker 1>Well, what should investors be worried about when it comes

0:32:20.920 --> 0:32:26.040
<v Speaker 1>to the growth that we've seen in AI companies gene Well.

0:32:25.840 --> 0:32:29.720
<v Speaker 4>This is one of the bizarre parts of this piece.

0:32:29.760 --> 0:32:32.360
<v Speaker 4>And Dan and I were around during the Internet bubble,

0:32:33.080 --> 0:32:36.960
<v Speaker 4>and the analogy. I'd say the thing that when I

0:32:36.960 --> 0:32:40.320
<v Speaker 4>get asked like what's most concerning, it's around how it's

0:32:40.320 --> 0:32:42.320
<v Speaker 4>going to impact how we think and how we feel

0:32:42.360 --> 0:32:45.160
<v Speaker 4>about each other. I talked about that earlier. But from

0:32:45.480 --> 0:32:51.920
<v Speaker 4>the standpoint of what's concerning to stop this, I think

0:32:51.960 --> 0:32:56.000
<v Speaker 4>the only things would be something around availability of power

0:32:56.600 --> 0:33:01.640
<v Speaker 4>and maybe something around Taiwan. But beyond the ad this

0:33:02.000 --> 0:33:05.560
<v Speaker 4>is this rocket is going to take off, and I'm

0:33:06.280 --> 0:33:10.440
<v Speaker 4>I always embrace like identifying what the real risk is,

0:33:10.480 --> 0:33:13.160
<v Speaker 4>and they're pretty distant this is going to happen.

0:33:13.840 --> 0:33:17.520
<v Speaker 1>We're speaking with Gene Munster, managing partner Deepwater Asset Management,

0:33:17.600 --> 0:33:22.240
<v Speaker 1>and Dan Ives's senior equity research analyst at web Bush Securities.

0:33:22.800 --> 0:33:25.160
<v Speaker 1>You're talking about it as a nine pm and a

0:33:25.240 --> 0:33:29.080
<v Speaker 1>four am party, Dan, but do you see any potential

0:33:29.200 --> 0:33:34.560
<v Speaker 1>risks to the AI run. Could we be driving these

0:33:34.560 --> 0:33:36.240
<v Speaker 1>companies up into an asset bubble?

0:33:36.760 --> 0:33:39.680
<v Speaker 3>I mean, I think there's a two year bull cycle.

0:33:40.200 --> 0:33:43.200
<v Speaker 3>I mean at points when we get towards three thirty

0:33:43.200 --> 0:33:47.440
<v Speaker 3>four am, there will be issues, especially for ones that

0:33:47.520 --> 0:33:51.920
<v Speaker 3>don't actually execute, but I see it it's an auto bond.

0:33:52.480 --> 0:33:56.040
<v Speaker 3>We'll have some issues with quarters and air pockets and

0:33:56.080 --> 0:33:59.360
<v Speaker 3>worries and bears that have been negative and tech philist

0:33:59.480 --> 0:34:02.280
<v Speaker 3>you know since two thousand and nine, come out again

0:34:02.360 --> 0:34:05.320
<v Speaker 3>saying that this is a bubble. The reality is it's

0:34:05.360 --> 0:34:09.279
<v Speaker 3>a Fourth Industrial Revolution plan out and some look, some

0:34:09.360 --> 0:34:12.239
<v Speaker 3>are gonna look at this party from the outside and

0:34:12.280 --> 0:34:13.799
<v Speaker 3>they'll be like, you know what, I'm just gonna eat

0:34:13.840 --> 0:34:17.520
<v Speaker 3>ice cream in my room. Guess what, let's meet at

0:34:17.600 --> 0:34:21.000
<v Speaker 3>six am for breakfast. I'll go to the party, they go,

0:34:21.160 --> 0:34:23.560
<v Speaker 3>and who had the better night? And the point is,

0:34:23.680 --> 0:34:25.719
<v Speaker 3>I think as it all plays out, that's it. This

0:34:25.800 --> 0:34:29.080
<v Speaker 3>is a tech bowl marker. You could deny it, the

0:34:29.239 --> 0:34:33.440
<v Speaker 3>multiplier impacts. Just starting with Godfather of Ai Jensen a video.

0:34:33.880 --> 0:34:36.040
<v Speaker 1>Just to carry over the analogy. What's the risk of

0:34:36.080 --> 0:34:37.240
<v Speaker 1>a six am hangover?

0:34:37.920 --> 0:34:40.719
<v Speaker 3>First of all, there's after parties at five and six am,

0:34:41.040 --> 0:34:44.640
<v Speaker 3>and then even in those you'll have some that fall

0:34:44.680 --> 0:34:46.880
<v Speaker 3>by the wayside. But if you focus on the winners

0:34:46.920 --> 0:34:50.520
<v Speaker 3>and keep the thesis again, we're gonna be talking about

0:34:50.680 --> 0:34:55.879
<v Speaker 3>four trillion, five trillion dollar mark aps Nazdak twenty twenty two,

0:34:56.280 --> 0:35:01.160
<v Speaker 3>twenty five K over the next three four five years.

0:35:01.160 --> 0:35:04.640
<v Speaker 1>In my opinion, is that something that you agree with Gene.

0:35:06.280 --> 0:35:08.440
<v Speaker 4>Yes, I mean, I like Dan's party analogy is much

0:35:08.480 --> 0:35:11.160
<v Speaker 4>more of my baseball analogies. But I'm at the third

0:35:11.200 --> 0:35:14.120
<v Speaker 4>inning of this, and we think we're in the early

0:35:14.160 --> 0:35:16.400
<v Speaker 4>stages of a three to five year bull market, and

0:35:17.080 --> 0:35:19.399
<v Speaker 4>I don't I wouldn't. Don't worry about the after don't

0:35:19.400 --> 0:35:21.360
<v Speaker 4>worry about the hangover. At this point, I think you

0:35:21.960 --> 0:35:25.960
<v Speaker 4>just embrace that this is as the substance will exceed

0:35:26.000 --> 0:35:29.200
<v Speaker 4>the hype and we've got some great years ahead of

0:35:29.280 --> 0:35:29.960
<v Speaker 4>us from the market.

0:35:30.280 --> 0:35:30.360
<v Speaker 2>Now.

0:35:30.400 --> 0:35:33.120
<v Speaker 1>Obviously we've been talking a lot about the Magnificent seven

0:35:33.200 --> 0:35:38.000
<v Speaker 1>stocks and VideA leading the way in lots of aspects.

0:35:38.080 --> 0:35:41.279
<v Speaker 1>But as we close out this our guys, let's talk

0:35:41.320 --> 0:35:44.880
<v Speaker 1>a little bit about some of the names that maybe

0:35:44.920 --> 0:35:52.040
<v Speaker 1>you'd advise investors to steer clear of entirely. Start with you, Gene, Well.

0:35:51.880 --> 0:35:54.439
<v Speaker 4>This is one that I've had talk about in the past.

0:35:54.520 --> 0:35:57.239
<v Speaker 4>I've been wrong. I'm gonna stick with it. It's Netflix.

0:35:58.600 --> 0:36:02.239
<v Speaker 4>It's a bigger company, and it's one that has a

0:36:02.360 --> 0:36:05.120
<v Speaker 4>benefit to AI, but it's not like a true AI company.

0:36:05.120 --> 0:36:07.440
<v Speaker 4>It's content, and I think that there is a shift

0:36:07.480 --> 0:36:09.960
<v Speaker 4>going on in content to the creator economy. Let's think

0:36:10.000 --> 0:36:13.440
<v Speaker 4>of it as what's happened in YouTube and TikTok multiplied

0:36:13.440 --> 0:36:18.000
<v Speaker 4>by many times, and I think Hollywood's going to get disrupted.

0:36:18.000 --> 0:36:20.120
<v Speaker 4>I think companies like Netflix are going to get disrupted,

0:36:20.239 --> 0:36:24.040
<v Speaker 4>and I think that it's just not that exciting of

0:36:24.080 --> 0:36:25.960
<v Speaker 4>a story on top of it interesting.

0:36:26.800 --> 0:36:30.600
<v Speaker 1>What's your view on where the entertainment industry is going down?

0:36:31.400 --> 0:36:35.120
<v Speaker 3>I mean, look, I think you could play the scary

0:36:35.280 --> 0:36:37.520
<v Speaker 3>sort of angle we saw with some of the Hollywood

0:36:37.560 --> 0:36:40.120
<v Speaker 3>strikes in terms of how it's going to impact negatively.

0:36:40.680 --> 0:36:43.680
<v Speaker 3>I actually think it's going to create sub industries and

0:36:43.719 --> 0:36:48.239
<v Speaker 3>companies that are massively successful streaming. There is a revolution

0:36:48.440 --> 0:36:52.359
<v Speaker 3>going on. It's content driven, and you're going to see

0:36:52.400 --> 0:36:56.920
<v Speaker 3>more and more entertainment companies, applications going to be built

0:36:57.040 --> 0:37:00.600
<v Speaker 3>on top of watching sports, watching entertainment, gonna be able

0:37:00.640 --> 0:37:04.040
<v Speaker 3>to go into a movie, whether it's a vision pro

0:37:04.200 --> 0:37:07.480
<v Speaker 3>or others that you'll be bringing in. The point is this,

0:37:08.080 --> 0:37:11.080
<v Speaker 3>things are gonna be happening over the coming years that

0:37:11.160 --> 0:37:13.560
<v Speaker 3>you never would have imagined today, and there's gonna be

0:37:13.640 --> 0:37:17.160
<v Speaker 3>winners from that and losers. And I think that's something

0:37:17.280 --> 0:37:20.040
<v Speaker 3>as it all plays out. That's why you listen to

0:37:20.120 --> 0:37:24.400
<v Speaker 3>people like Gene because they don't get nerve on quarters.

0:37:24.400 --> 0:37:27.400
<v Speaker 3>They don't all of a sudden like so many others,

0:37:28.080 --> 0:37:30.560
<v Speaker 3>just follow the herd and go negative. That the farest

0:37:30.600 --> 0:37:33.719
<v Speaker 3>through the trees. That's why if Gene was a pilot,

0:37:34.320 --> 0:37:37.880
<v Speaker 3>I'd be I'd be in three a drinking cabernet. I

0:37:37.880 --> 0:37:40.520
<v Speaker 3>feel I'm pretty comfortable watching Netflix over.

0:37:40.320 --> 0:37:44.560
<v Speaker 1>There in first class. What about winners, dan Ives, what

0:37:44.560 --> 0:37:46.600
<v Speaker 1>what are your biggest names that you're looking at to

0:37:46.840 --> 0:37:49.040
<v Speaker 1>really do well in the long term.

0:37:49.080 --> 0:37:52.040
<v Speaker 3>I think the MESSI of AI pounteer front and center.

0:37:52.080 --> 0:37:56.440
<v Speaker 3>I think names like service Now Oracle with the renaissance

0:37:56.480 --> 0:38:01.360
<v Speaker 3>of growth. I look at names like Mango, dB you know,

0:38:01.400 --> 0:38:04.080
<v Speaker 3>and then of course Microsoft being one of our top picks.

0:38:04.200 --> 0:38:06.399
<v Speaker 3>I think what's gonna happen is in software and even

0:38:06.480 --> 0:38:10.600
<v Speaker 3>cybersecurity themes that CrowdStrike, Z scale pow out. Though there's

0:38:10.600 --> 0:38:13.400
<v Speaker 3>gonna be a massive talent in terms of these AI

0:38:13.640 --> 0:38:17.880
<v Speaker 3>driven workloads as the Batanga ten from send me to software.

0:38:18.760 --> 0:38:22.359
<v Speaker 1>Of course, uh, we know your coverage of Apple and

0:38:22.760 --> 0:38:25.319
<v Speaker 1>some of the other big cap tech names. Geene, what

0:38:25.360 --> 0:38:28.840
<v Speaker 1>are some of your biggest winners As we think farther

0:38:28.920 --> 0:38:31.680
<v Speaker 1>ahead into where we could be in this tech cycle.

0:38:32.960 --> 0:38:35.600
<v Speaker 4>Apple is going to surprise people over the next few years.

0:38:35.800 --> 0:38:39.960
<v Speaker 4>I think Tesla is going to surprise people around these

0:38:40.040 --> 0:38:41.759
<v Speaker 4>variant vehicles that they're going to come up with. And

0:38:41.800 --> 0:38:44.719
<v Speaker 4>I think there's gonna be some legs to Optimus on

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<v Speaker 4>the where else, as I mentioned, spent a lot of

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<v Speaker 4>time on the private side. I think companies like Xai

0:38:50.320 --> 0:38:54.240
<v Speaker 4>are gonna be one of the anointed foundation models. Data Bricks,

0:38:54.280 --> 0:38:57.680
<v Speaker 4>I think is another company I mentioned Andrew before. This

0:38:57.719 --> 0:39:00.359
<v Speaker 4>is kind of the future of defense tech. And well,

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<v Speaker 4>those three are difficult to invest in today, they soon

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<v Speaker 4>in matter of a few years, will be public.

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<v Speaker 1>Really appreciate having you both on to take this longer

0:39:09.719 --> 0:39:13.919
<v Speaker 1>term view in an hour long roundtable discussion on this

0:39:14.200 --> 0:39:17.640
<v Speaker 1>massive bull run that we continue to see in the

0:39:17.719 --> 0:39:20.279
<v Speaker 1>tech space. Thanks to both of you for being with

0:39:20.360 --> 0:39:23.720
<v Speaker 1>us Web Bush Security Senior Equity research channalyst Dan Ives

0:39:24.080 --> 0:39:28.280
<v Speaker 1>along with Gene Munster, managing partner at Deepwater Asset Management,

0:39:28.320 --> 0:39:31.279
<v Speaker 1>spending the entire hour with us on this special edition

0:39:31.400 --> 0:39:32.520
<v Speaker 1>of Bloomberg Daybreak.

0:39:32.680 --> 0:39:35.160
<v Speaker 2>So there's Dan Ives and Gene Munster with Nathan Haggard.

0:39:35.239 --> 0:39:38.440
<v Speaker 2>Look for Bloomberg Daybreak way too early in the morning,

0:39:39.000 --> 0:39:42.600
<v Speaker 2>and then of course look for Bloomberg surveillance on YouTube,

0:39:42.680 --> 0:39:46.840
<v Speaker 2>on Apple car play, on Android Auto, and on Apple podcast.

0:39:46.920 --> 0:39:58.520
<v Speaker 2>So special edition of single Best I You