WEBVTT - Netflix Earnings Preview, Acquisition of WWE's Raw

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<v Speaker 1>From Mahard where Innovation, money and power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>I met Ludlow in San Francisco. Caroline hides off today.

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<v Speaker 3>This is Bloomberg Technology.

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<v Speaker 4>Coming up.

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<v Speaker 3>Netflix makes a big push into live events with a

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<v Speaker 3>five billion dollar deal for WWE Raw. Full details ahead

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<v Speaker 3>and we stick with Netflix pushing ahead to results after

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<v Speaker 3>the bell and get a read on what to expect

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<v Speaker 3>from tech earnings this season. Plus Samsung exploring the development

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<v Speaker 3>of a non invasive blood sugar monitor to compete with

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<v Speaker 3>tech giants like Apple in the race for wearable dominance.

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<v Speaker 3>All that and so much more coming up up. There

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<v Speaker 3>is one main big story this morning, and it is

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<v Speaker 3>the Netflix deal with TKO, parent of WWE. Sources telling

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<v Speaker 3>us it is a five billion dollar deal over ten

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<v Speaker 3>years Monday Night Raw Live on the platform starting in

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<v Speaker 3>January of twenty twenty five, but outside of the US,

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<v Speaker 3>exclusivity on a number of WWE brands and pay per

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<v Speaker 3>view events in new markets meaning new eyeballs. Just last hour,

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<v Speaker 3>I sat down with ww president Nick Kahan.

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<v Speaker 4>Listen to this.

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<v Speaker 2>We're pleased with the deal.

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<v Speaker 1>And we love the fact that Netflix was willing to

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<v Speaker 1>take a bet on us, as we know they had

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<v Speaker 1>said previously that they were.

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<v Speaker 2>Not into sports rights.

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<v Speaker 1>The good thing about WWE, it's sports entertainment, as you

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<v Speaker 1>said before the quick break there, so we're an entertainment

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<v Speaker 1>property as much as we are a sports property. Fifty

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<v Speaker 1>two weeks a year, live, consistent programming, an audience that

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<v Speaker 1>is actually quite global if you look at India. In

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<v Speaker 1>India is not part of this deal, but if you

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<v Speaker 1>look at India with the second most popular sport in India.

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<v Speaker 2>If you look at the United Kingdom, we're the fourth

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<v Speaker 2>most popular sport there.

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<v Speaker 1>This deal will take effect in the UK, so in

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<v Speaker 1>addition to the United States, it allows us to gain

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<v Speaker 1>even a greater global.

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<v Speaker 2>Footprint as we look to expand the business.

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<v Speaker 5>Well, Nick, I want to talk a little bit more

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<v Speaker 5>about the decision to go with Netflix, go with a

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<v Speaker 5>streamer versus staying with a Comcast for example. Did this

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<v Speaker 5>purely come down to numbers where you were going to

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<v Speaker 5>get the better deal or is this in effect a

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<v Speaker 5>bet on where the future eyeballs are going to be.

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<v Speaker 1>Well, look, we continue to love NBCU. We have SmackDown

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<v Speaker 1>on USA, premiering this October. There we have our premium

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<v Speaker 1>live events formerly our pay per views like WrestleMania on

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<v Speaker 1>Peacock exclusively in the United States.

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<v Speaker 2>They've been tremendous for us.

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<v Speaker 1>With Raw, it was yet another test of someone new

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<v Speaker 1>in the space, obviously an established streaming entity, the streaming entity,

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<v Speaker 1>if you will.

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<v Speaker 2>It was a good beat by us, and we think

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<v Speaker 2>a good bet by them.

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<v Speaker 5>Let's talk about ad pricing a little bit more here.

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<v Speaker 5>Does this give you greater ad pricing power this deal?

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<v Speaker 2>We think so.

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<v Speaker 1>Look, you've seen what Amazon's been able to do on

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<v Speaker 1>their ads supported tier. Netflix is going to have great

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<v Speaker 1>success in that space. Wwe again, three hours a week

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<v Speaker 1>on Raw every week allows Netflix to monetize this deal

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<v Speaker 1>in the advertising space in a way that has not

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<v Speaker 1>been seen before.

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<v Speaker 3>And Nick Raw has this kind of super loyal and

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<v Speaker 3>sizeable audience. But there must be a part of this

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<v Speaker 3>deal where you're like, Okay, we need to think about

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<v Speaker 3>the future and growing a new audience. And I wondered

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<v Speaker 3>if there's any terms in the deal. When Netflix goes

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<v Speaker 3>away and produces a behind the scenes kind of documentary

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<v Speaker 3>exclusive to Netflix that introduces WWE to that new audience.

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<v Speaker 3>Think about, like, what am I thinking of Drive to

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<v Speaker 3>Survive and Formula one and the success that that had

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<v Speaker 3>bringing a sport to a new audience.

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<v Speaker 1>Would be a mistake by us at WWE to not

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<v Speaker 1>do that with Netflix. So assume that what you said

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<v Speaker 1>is exactly what we're all thinking, we being Netflix and WWE.

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<v Speaker 1>You saw we Drive to Survive did for Formula One.

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<v Speaker 1>As you just mentioned, we think the WWE audience, already

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<v Speaker 1>big on a global level, only gets bigger with a

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<v Speaker 1>show like that.

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<v Speaker 3>Okay, that was WWE President Nick Kahn just in the

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<v Speaker 3>last hour and my friend Bloomber's Katie Greifeld. For more

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<v Speaker 3>on this, I'm going to bring in Hang Media CEO

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<v Speaker 3>John Klein, who also served as a former president of CNN,

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<v Speaker 3>and John, you know, live Entertainment, Live Sports.

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<v Speaker 4>This is very interesting.

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<v Speaker 3>I don't think anyone saw this coming, this structure of deal,

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<v Speaker 3>nor the duration of it, all the properties themselves, just

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<v Speaker 3>your reaction to what Netflix has done here.

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<v Speaker 6>Netflix has to do things like this, They have to

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<v Speaker 6>do more of them too, and that's because what is

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<v Speaker 6>dry streaming use among consumers is not those high end,

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<v Speaker 6>expensive dramas that Netflix is famous for it is free

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<v Speaker 6>or low cost ads supported television. Basically, it's the same

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<v Speaker 6>shows you used to watch on your cable system. People

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<v Speaker 6>are now streaming in droves and what is driving that

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<v Speaker 6>behavior is predominantly sports and also news programming. So they

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<v Speaker 6>had to get into this space. I mean, I run

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<v Speaker 6>as you said, Hang is a sports streaming platform that

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<v Speaker 6>lets fans watch games on TV alongside famous athletes and celebrities,

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<v Speaker 6>and we drive ridiculously high numbers of viewers, like six

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<v Speaker 6>hundred and fifty thousand per event, plus sixty percent of

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<v Speaker 6>them are eighteen to forty four, exactly the Gen Z

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<v Speaker 6>and young millennials who all sports advertisers and teams and

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<v Speaker 6>leagues want to reach. That's who Netflix is trying to reach.

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<v Speaker 6>Now you know there. Netflix is trying to launch an

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<v Speaker 6>ad supported tier. They had a bumpy going at the beginning.

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<v Speaker 6>It seems to have at least stabilized now They have

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<v Speaker 6>something like twenty three million monthly subscribers now to the

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<v Speaker 6>AD supported tier, which is like six ninety nine per month,

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<v Speaker 6>and that represents about thirty percent of their new sign up.

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<v Speaker 6>So that's good. But it hasn't been easy and if

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<v Speaker 6>you're going to be in the ad supported business, you

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<v Speaker 6>have got to have sports look for that to try

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<v Speaker 6>to do something in news as well, because news drives

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<v Speaker 6>streaming behavior as well.

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<v Speaker 4>Well.

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<v Speaker 3>John, let's just take a look at the shares. Netflix

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<v Speaker 3>is now hire three tenths of a percent. TKO is

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<v Speaker 3>off its session highs, but is up seventeen percent. So

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<v Speaker 3>we use that to ask who got the better deal?

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<v Speaker 2>Right?

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<v Speaker 3>We are reporting, citing sources that it's five billion over

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<v Speaker 3>ten years. So let's say it's five hundred million dollars

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<v Speaker 3>a year when Comcast paid two hundred and sixty five

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<v Speaker 3>million a year.

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<v Speaker 4>For the rights.

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<v Speaker 3>Uh, it wasn't seen as a very good deal in

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<v Speaker 3>this instance.

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<v Speaker 4>Who got the better of it?

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<v Speaker 6>I think they're both winners here. You know it brands

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<v Speaker 6>WWE is forward thinking, Mate puts them smack in the

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<v Speaker 6>middle of the streaming conversation, gets their their their hot

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<v Speaker 6>property raw out of the cable world. It's going to

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<v Speaker 6>hurt USA Network as the number one show on that

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<v Speaker 6>cable channel, and so it's it's great for them and

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<v Speaker 6>for the future growth possibilities. As Nick referred to. I've

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<v Speaker 6>known Nick for a long long time and he's a

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<v Speaker 6>very savvy deal maker thinker about media. At the same time,

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<v Speaker 6>it's great for Netflix because it just pumps them with

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<v Speaker 6>some very current product that is hugely popular across a

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<v Speaker 6>lot of demos, but certainly among younger A lot of

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<v Speaker 6>LATINX viewers you know, are driven to WWE programming as well,

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<v Speaker 6>and as you had alluded in your earlier interview, the

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<v Speaker 6>programming possibilities around all the characters, you know, just imagine

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<v Speaker 6>being able to do the you know, to do their

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<v Speaker 6>version of the Last Dance dot Com entry with those characters.

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<v Speaker 3>Hey, John, sorry to interrupt. You're talking about the winners.

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<v Speaker 3>I just want to talk about a potential loser. I'm

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<v Speaker 3>looking at shares of Disney that are down one point

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<v Speaker 3>four percent, and it raises the.

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<v Speaker 4>Question, where is Disney?

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<v Speaker 3>Where's ESPN in this idea that live events call it

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<v Speaker 3>sports or live entertainment is going to go to streaming platforms.

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<v Speaker 6>And they've been very vague about their streaming plans right

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<v Speaker 6>They've said, look, we're working on a pivot from linear

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<v Speaker 6>cable delivery into streaming, but we're not going to have

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<v Speaker 6>an answer on that until twenty twenty five, which is

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<v Speaker 6>like saying forever in the world of digital I mean

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<v Speaker 6>Moore's law, everything accelerates exponentially, and so they've got to

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<v Speaker 6>be scratching their heads and trying to come up with

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<v Speaker 6>a strategy that's going to work. Now. What puts all

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<v Speaker 6>of these players in jeopardy? But Netflix included is the

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<v Speaker 6>runaway behemoth that is YouTube. YouTube is by far the

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<v Speaker 6>biggest TV network on Earth. They have something like one

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<v Speaker 6>hundred and twenty two million daily users two point seven

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<v Speaker 6>billion monthly users. And that just dwarfs a couple hundred

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<v Speaker 6>million here, one hundred million there for the other streamers.

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<v Speaker 6>And you know where YouTube they give you the product

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<v Speaker 6>for free. For the most part. You can subscribe to premium,

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<v Speaker 6>but the vast majority of users are just accessing it

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<v Speaker 6>for free. And you know, here's Netflix, It's still going

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<v Speaker 6>to charge you six dollars a month for the over

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<v Speaker 6>seven dollars a month for the ad supported tier. It's

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<v Speaker 6>not free. And so what all other streaming platforms have

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<v Speaker 6>to do is figure out a way to take share

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<v Speaker 6>from YouTube or borrow from their model better than they

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<v Speaker 6>have been.

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<v Speaker 3>John Klein of the sports streaming platform Hang Media Great

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<v Speaker 3>industry quick reaction to what is a big story Now, look,

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<v Speaker 3>the news came out this morning and you may have forgotten,

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<v Speaker 3>but after the bell, Netflix posts is quarterly earning. So

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<v Speaker 3>let's get to that with Bloomberg Intelligence and Lisquita Ang

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<v Speaker 3>and Nathan. Let's park wwe for a moment, because we

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<v Speaker 3>came into this quarter or the quarter gone saying Netflix

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<v Speaker 3>could post some big overall numbers here.

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<v Speaker 7>Oh.

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<v Speaker 8>Absolutely, I think expectations coming into this quarter ed are

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<v Speaker 8>really high, and that's because management themselves during the last

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<v Speaker 8>earning Skulls said, you know, expect pretty strong growth on

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<v Speaker 8>the back of those two initiatives. I mean we were

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<v Speaker 8>just speaking about the advertising tiers, so that's obviously a

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<v Speaker 8>huge initiative for them, as well as the you know,

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<v Speaker 8>the passwords share crackdown, what they call Paige sharing. And

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<v Speaker 8>so we are seeing pretty good subscriber numbers. We saw

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<v Speaker 8>that in the third quarter, we were expecting another nine

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<v Speaker 8>to ten million new subscriber ads. And so then if

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<v Speaker 8>you look at the whole ear of twenty twenty three,

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<v Speaker 8>Netflix would have basically gained twenty five million subscribers. That

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<v Speaker 8>puts them back in kind of that pre pandemic level.

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<v Speaker 8>I mean last year twenty twenty two, it was eight

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<v Speaker 8>or nine million new subscriber ads. That's when we had

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<v Speaker 8>that great Netflix correction, and then now in twenty twenty three,

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<v Speaker 8>they're kind of right back on track. The question is,

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<v Speaker 8>of course, what's next, right, what is the next big

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<v Speaker 8>growth catalyst for the stock?

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<v Speaker 4>Well, let's ask that question.

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<v Speaker 3>I mean, I watched Rebel Moon Part one, a child

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<v Speaker 3>Afar over the holidays. I won't give my opinion, but

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<v Speaker 3>look at IMDb and Rotten Tomatoes. So then go back

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<v Speaker 3>to WWE. You know, the content pipeline is important, but

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<v Speaker 3>this is a deal that doesn't kick untill twenty twenty five,

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<v Speaker 3>and news overnight that the film chiefs leaving to go

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<v Speaker 3>out swear.

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<v Speaker 8>Yeah, that's a really interesting point that you bring up,

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<v Speaker 8>ed because what we've seen so Netflix, as you know,

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<v Speaker 8>a few weeks ago, Netflix kind of released this first

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<v Speaker 8>really detailed what they call what we watched an engagement report,

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<v Speaker 8>where they basically said who watched what over the first

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<v Speaker 8>six months in twenty twenty three, And what we kind

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<v Speaker 8>of learned from that report was that only about you know,

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<v Speaker 8>fifty five percent of the top titles were really their originals,

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<v Speaker 8>forty five percent is licensed content. And so as we

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<v Speaker 8>kind of think about Scott Stubert leaving. You know, it

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<v Speaker 8>goes to show that licensed content can still play a huge,

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<v Speaker 8>huge role for Netflix, and that's exactly what we've been seeing.

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<v Speaker 8>I mean, we saw that massive phenomenon with Suits, which

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<v Speaker 8>kind of had you know, this huge audience based kind

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<v Speaker 8>of come back and bring interest to a show that

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<v Speaker 8>was that old and was you know, airing on a

0:12:49.440 --> 0:12:52.840
<v Speaker 8>rival TV network. And we've seen so many of these

0:12:52.880 --> 0:12:55.640
<v Speaker 8>other titles, you know, whether their movies from from the

0:12:55.679 --> 0:12:58.400
<v Speaker 8>Max service, whether there's some of the older Max shows,

0:12:58.440 --> 0:13:00.840
<v Speaker 8>all kind of finding this huge audience space and Netflix.

0:13:00.840 --> 0:13:02.640
<v Speaker 8>So one thing that we've learned is that, you know,

0:13:02.760 --> 0:13:06.079
<v Speaker 8>just for them, licensing old content can also work really well.

0:13:06.679 --> 0:13:09.520
<v Speaker 8>So they don't necessarily need to make huge bets right

0:13:09.559 --> 0:13:11.920
<v Speaker 8>now in the original show space, but they do need

0:13:11.960 --> 0:13:14.800
<v Speaker 8>to get into diverse content to really kind of attract

0:13:15.000 --> 0:13:17.920
<v Speaker 8>the advertising basin. That's exactly what this deal with TKO

0:13:18.040 --> 0:13:18.559
<v Speaker 8>is all about.

0:13:19.320 --> 0:13:19.520
<v Speaker 6>Oh.

0:13:19.640 --> 0:13:23.160
<v Speaker 3>Suits is a fan favorite of everyone on Team Bloomberg Technology,

0:13:23.480 --> 0:13:25.840
<v Speaker 3>according to the chat on My screen, and they gave

0:13:25.880 --> 0:13:28.840
<v Speaker 3>it a second life. Guitarang Nathan Bloomberg Intelligence and lists

0:13:29.120 --> 0:13:32.040
<v Speaker 3>standby Netflix earnings after the Bell will catch up tomorrow.

0:13:32.120 --> 0:13:33.840
<v Speaker 3>Now coming up, we're going to get the big picture

0:13:33.840 --> 0:13:37.520
<v Speaker 3>outlook for tech earnings overall with melag and Asino Wee

0:13:37.640 --> 0:13:42.600
<v Speaker 3>Family Offices CEO, and in the earnings context, we're looking

0:13:42.600 --> 0:13:46.520
<v Speaker 3>at shares of both Verizon and Texas Instruments. Remember Textas

0:13:46.520 --> 0:13:50.800
<v Speaker 3>Instruments after the bell, very analog focused semiconductor maker. So

0:13:50.840 --> 0:13:55.480
<v Speaker 3>many end markets. We have questions about Verizon interesting performance,

0:13:55.480 --> 0:13:58.880
<v Speaker 3>added the most mobile customers in two years. It seems

0:13:58.880 --> 0:14:01.880
<v Speaker 3>that this kind of turnaround plan the carrier is working.

0:14:02.360 --> 0:14:05.200
<v Speaker 3>Those shares up more than five percent. My goodness, what

0:14:05.280 --> 0:14:07.960
<v Speaker 3>a start to a Tuesday. This is Bloomberg technology.

0:14:17.400 --> 0:14:18.360
<v Speaker 4>Okay, it's kind of like this.

0:14:18.440 --> 0:14:22.280
<v Speaker 3>Tiptoe Tuesday when it comes to financial markets, equities kind

0:14:22.280 --> 0:14:25.680
<v Speaker 3>of stuck within narrow ranges. Earnings is a really big

0:14:25.720 --> 0:14:30.120
<v Speaker 3>factor now this week technology in particular. Verizon was out

0:14:30.120 --> 0:14:34.320
<v Speaker 3>this morning, Next up Texas Instruments. Later in the week Tesla, Intel,

0:14:34.360 --> 0:14:36.040
<v Speaker 3>and after the Bell. The big one we've been talking

0:14:36.080 --> 0:14:39.560
<v Speaker 3>about is Netflix and so at an index level, nothing

0:14:39.640 --> 0:14:41.600
<v Speaker 3>crazy in terms of movement, and in the back of

0:14:41.640 --> 0:14:44.560
<v Speaker 3>our minds we're thinking about the FED and what they

0:14:44.600 --> 0:14:47.160
<v Speaker 3>will or won't do over the course of twenty twenty four.

0:14:47.200 --> 0:14:49.200
<v Speaker 3>Delighted to say that joining us now to get through

0:14:49.480 --> 0:14:53.800
<v Speaker 3>these markets is Melagamassino. We Family Offices CEO, joining us

0:14:53.800 --> 0:14:54.520
<v Speaker 3>out of Miami.

0:14:55.200 --> 0:14:56.080
<v Speaker 4>We went into this.

0:14:56.000 --> 0:15:01.000
<v Speaker 3>Week on Bloomberg focused very much on the Magnificence seven, right,

0:15:01.080 --> 0:15:03.040
<v Speaker 3>this idea that they were where you wanted to be

0:15:03.080 --> 0:15:05.160
<v Speaker 3>in twenty twenty three. But if you look at the

0:15:05.200 --> 0:15:08.800
<v Speaker 3>earning season ahead, the expectation is that that bucket of

0:15:08.840 --> 0:15:11.840
<v Speaker 3>seven will have EPs growth of forty six percent, and

0:15:11.880 --> 0:15:14.520
<v Speaker 3>it doesn't seem to be any earnings growth elsewhere other

0:15:14.560 --> 0:15:18.240
<v Speaker 3>than maybe utilities. Do you have to be in the

0:15:18.280 --> 0:15:20.480
<v Speaker 3>Magnificent seven for the rest of twenty twenty four.

0:15:21.600 --> 0:15:24.840
<v Speaker 9>No, I think that actually we're heading into kind of

0:15:24.840 --> 0:15:28.120
<v Speaker 9>a Goldilog scenario with inflation coming down.

0:15:29.320 --> 0:15:29.520
<v Speaker 6>You know.

0:15:29.600 --> 0:15:33.760
<v Speaker 9>GDP growth for the third quarter was four point nine percent.

0:15:34.320 --> 0:15:37.000
<v Speaker 9>They estimate that it's going to be about two percent

0:15:37.920 --> 0:15:42.480
<v Speaker 9>for the fourth quarter. Unemployment is low, wages have risen

0:15:42.560 --> 0:15:46.040
<v Speaker 9>higher than inflation. Two thirds of the US economy is

0:15:46.200 --> 0:15:50.040
<v Speaker 9>consumer consumer lead. So actually I'm very bullish for the

0:15:50.200 --> 0:15:53.960
<v Speaker 9>S and P five hundred, not just for the Magnificent seven.

0:15:55.320 --> 0:15:56.960
<v Speaker 3>Every time that you and I have talked over the

0:15:57.040 --> 0:15:59.760
<v Speaker 3>last twelve months, you actually go a little bit deeper

0:15:59.760 --> 0:16:02.760
<v Speaker 3>on the technology sector, you know, into sub sectors that

0:16:02.840 --> 0:16:05.320
<v Speaker 3>you say, okay, I have a thesis here. Let's take,

0:16:05.360 --> 0:16:10.240
<v Speaker 3>for example, semiconductors. What is the twenty twenty four semiconductor

0:16:10.280 --> 0:16:12.040
<v Speaker 3>call from melag A Mesino.

0:16:13.080 --> 0:16:13.240
<v Speaker 10>Oh.

0:16:13.280 --> 0:16:16.360
<v Speaker 9>I think semiconductors will continue to be strong. I think

0:16:16.400 --> 0:16:22.240
<v Speaker 9>the whole healthcare sector can have huge profitability and efficiency

0:16:22.360 --> 0:16:25.000
<v Speaker 9>from the use of artificial intelligence. So I think what

0:16:25.040 --> 0:16:27.560
<v Speaker 9>we're going to start to see it is how different

0:16:27.600 --> 0:16:31.760
<v Speaker 9>sectors are going to start applying artificial intelligence, not just

0:16:31.840 --> 0:16:34.880
<v Speaker 9>in terms of research and innovation, but the ability to

0:16:34.880 --> 0:16:38.280
<v Speaker 9>empower their employees at their desk. And so I think

0:16:38.320 --> 0:16:41.080
<v Speaker 9>that it's going to be much more croub based than

0:16:41.120 --> 0:16:46.280
<v Speaker 9>the tech stocks. I think it's regular companies, industrial companies,

0:16:46.320 --> 0:16:48.280
<v Speaker 9>consumer staples companies, et cetera.

0:16:49.080 --> 0:16:50.280
<v Speaker 4>Have the potential to have.

0:16:50.400 --> 0:16:53.480
<v Speaker 9>Much more productivity as a result of these team tools.

0:16:53.800 --> 0:16:54.960
<v Speaker 4>I think we're in the beginning.

0:16:55.080 --> 0:16:58.000
<v Speaker 9>We're in the beginning stages of what's going to be

0:16:58.000 --> 0:17:03.080
<v Speaker 9>a transformational technology for all of industry.

0:17:03.880 --> 0:17:06.280
<v Speaker 4>How do you use AI every day?

0:17:06.760 --> 0:17:09.439
<v Speaker 3>You know, there's the investing side and where you can

0:17:09.480 --> 0:17:12.640
<v Speaker 3>allocate capital, and then there's you wake up and think,

0:17:12.640 --> 0:17:14.040
<v Speaker 3>how do I use AI today?

0:17:16.040 --> 0:17:16.560
<v Speaker 4>Well, if you.

0:17:16.520 --> 0:17:19.800
<v Speaker 9>Think about it, in our own work, we're using more

0:17:19.800 --> 0:17:23.359
<v Speaker 9>and more AI tools to actually take care of a

0:17:23.359 --> 0:17:27.440
<v Speaker 9>lot of administrative tasks that are very talented people were

0:17:27.480 --> 0:17:30.840
<v Speaker 9>doing and now you can really leverage them so that

0:17:30.880 --> 0:17:33.080
<v Speaker 9>they can use their full talents instead of spending on

0:17:33.320 --> 0:17:36.479
<v Speaker 9>a lot of administrative tasks. So I think that's just

0:17:36.520 --> 0:17:40.800
<v Speaker 9>a small sample of what AI can do to just

0:17:40.880 --> 0:17:43.440
<v Speaker 9>leverage every single company and the way that they use

0:17:43.480 --> 0:17:47.360
<v Speaker 9>their talent. I mean, I don't think. I don't I'm

0:17:47.400 --> 0:17:49.960
<v Speaker 9>not one of those people that worries about white collar

0:17:50.000 --> 0:17:52.600
<v Speaker 9>workers losing their jobs. I think AI is going to

0:17:52.640 --> 0:17:57.040
<v Speaker 9>empower and lift white collar workers to do a much

0:17:57.040 --> 0:17:57.680
<v Speaker 9>better job.

0:18:00.080 --> 0:18:05.320
<v Speaker 3>Mel there are certain sections of the technology sector that

0:18:05.400 --> 0:18:09.040
<v Speaker 3>are sensitive to rates. Higher rates discount the present value

0:18:09.040 --> 0:18:11.080
<v Speaker 3>of future cashflows is what I say on the show

0:18:11.119 --> 0:18:14.719
<v Speaker 3>all the time. And right now the market seems to

0:18:14.760 --> 0:18:19.040
<v Speaker 3>be shrugging off a pretty constant stream of FED speak

0:18:19.680 --> 0:18:23.760
<v Speaker 3>that is warning us about our anticipation at the timing

0:18:23.840 --> 0:18:27.639
<v Speaker 3>and depth of rate cuts. Why is the market not

0:18:27.760 --> 0:18:28.680
<v Speaker 3>listening to the FED?

0:18:31.320 --> 0:18:33.680
<v Speaker 9>Well, I think we've been in this tube of war

0:18:35.440 --> 0:18:38.480
<v Speaker 9>because I between what the market says and what the

0:18:38.520 --> 0:18:42.800
<v Speaker 9>FED is saying for months now, and that's what caused

0:18:42.880 --> 0:18:47.560
<v Speaker 9>volatility in the market. But I personally listen to the FED.

0:18:47.720 --> 0:18:51.800
<v Speaker 9>I think in spite of what the market would like,

0:18:51.840 --> 0:18:53.920
<v Speaker 9>I think the FED is taking its time. It's making

0:18:53.960 --> 0:18:56.119
<v Speaker 9>sure that the data that the lag effect of the

0:18:56.160 --> 0:18:59.520
<v Speaker 9>interest rate rises, that they put in place, that they're

0:18:59.520 --> 0:19:02.160
<v Speaker 9>really un stand what the data is saying before they.

0:19:02.680 --> 0:19:03.640
<v Speaker 4>Start lowering rates.

0:19:03.640 --> 0:19:05.639
<v Speaker 9>But they will lower rates, it just might not be

0:19:05.760 --> 0:19:08.440
<v Speaker 9>as fast as the market expects.

0:19:09.840 --> 0:19:10.560
<v Speaker 4>For this year.

0:19:12.040 --> 0:19:14.800
<v Speaker 3>How top of mind is geopolitical risk, and you know,

0:19:14.800 --> 0:19:17.400
<v Speaker 3>knowing that you look so closely at the chip sector,

0:19:18.040 --> 0:19:20.280
<v Speaker 3>I go straight to China in my mind when we

0:19:20.320 --> 0:19:23.400
<v Speaker 3>think about both the supply chain but also demand side

0:19:23.400 --> 0:19:24.200
<v Speaker 3>of that industry.

0:19:26.160 --> 0:19:30.840
<v Speaker 9>Well, China is I mean, China's economy is really not

0:19:30.880 --> 0:19:33.960
<v Speaker 9>doing well. And I even think the latest stimulus that

0:19:34.960 --> 0:19:37.960
<v Speaker 9>you know, the Chinese government tried to do to sort

0:19:37.960 --> 0:19:40.320
<v Speaker 9>of stabilize the stock market, it's not going to work

0:19:41.240 --> 0:19:46.240
<v Speaker 9>because there's fundamentally fundamental economic issues in China, starting with

0:19:46.280 --> 0:19:49.679
<v Speaker 9>the real estate sector but also the finance sector. And

0:19:49.760 --> 0:19:53.920
<v Speaker 9>I think the interference of the government in the business

0:19:54.400 --> 0:19:57.600
<v Speaker 9>sector has really chased away a lot of the foreign investors.

0:19:57.640 --> 0:19:59.920
<v Speaker 9>The lack of the kind of governance that were used

0:19:59.920 --> 0:20:03.119
<v Speaker 9>to seeing has chased away foreign investors, and they played

0:20:03.119 --> 0:20:07.640
<v Speaker 9>a pretty big role in China. So I think it's

0:20:07.760 --> 0:20:10.760
<v Speaker 9>different with China. The geo political issue that I think

0:20:10.960 --> 0:20:13.280
<v Speaker 9>most people worry about is actually what's going to happen

0:20:13.320 --> 0:20:17.440
<v Speaker 9>with the US election. Having said that, we just did

0:20:17.440 --> 0:20:20.159
<v Speaker 9>a study of what happens with every shock in the

0:20:20.200 --> 0:20:23.480
<v Speaker 9>stock market starting from World War Two all the way

0:20:23.520 --> 0:20:27.800
<v Speaker 9>through you know, the Israel Hamas situation, and the stock

0:20:27.880 --> 0:20:32.200
<v Speaker 9>market reacts emotionally initially, and then six months later, a

0:20:32.280 --> 0:20:33.160
<v Speaker 9>year later, it's up.

0:20:34.400 --> 0:20:38.040
<v Speaker 3>So now I'm sorry to interrupt with a short on time,

0:20:38.080 --> 0:20:40.040
<v Speaker 3>but before I lose you, I got a question from.

0:20:39.960 --> 0:20:41.840
<v Speaker 4>Our audience that's tuned in right now.

0:20:42.400 --> 0:20:45.000
<v Speaker 3>If AI will help white collar workers in the US,

0:20:45.040 --> 0:20:48.360
<v Speaker 3>as you said, what are the implications for those industries

0:20:49.080 --> 0:20:52.919
<v Speaker 3>that outsource a lot of work to workforces in India,

0:20:52.960 --> 0:20:54.760
<v Speaker 3>for example, I think.

0:20:54.720 --> 0:20:56.119
<v Speaker 4>Some of that work's going to come home.

0:20:56.960 --> 0:20:59.200
<v Speaker 9>I don't think we need to outsource. I think it's

0:20:59.200 --> 0:21:02.560
<v Speaker 9>actually going to be a huge boon for the US

0:21:02.560 --> 0:21:06.800
<v Speaker 9>economy and for our friends that are closer to US.

0:21:08.000 --> 0:21:11.080
<v Speaker 9>I think gonna We're gonna focus more on resilience.

0:21:12.080 --> 0:21:16.359
<v Speaker 3>I just cost mel Lagamassino. We family offices, sere. We

0:21:16.359 --> 0:21:18.439
<v Speaker 3>always go so broad when you join me on the program,

0:21:18.520 --> 0:21:21.840
<v Speaker 3>I really appreciate it your time today out of Miami,

0:21:22.520 --> 0:21:24.960
<v Speaker 3>time for talking tech and first Up by Jew's, once

0:21:25.040 --> 0:21:27.920
<v Speaker 3>considered one of the most valuable startups in the world,

0:21:28.040 --> 0:21:30.320
<v Speaker 3>is seeking to raise one hundred billion dollars in funds

0:21:30.440 --> 0:21:33.600
<v Speaker 3>at evaluation of less than two billion dollars to ease

0:21:33.720 --> 0:21:36.760
<v Speaker 3>its financial problems. That's down from twenty two billion dollars

0:21:36.760 --> 0:21:39.320
<v Speaker 3>in its last round in late twenty twenty two. Plus

0:21:39.359 --> 0:21:42.760
<v Speaker 3>EV sales growth may be slowing, but investor enthusiasm in

0:21:42.800 --> 0:21:46.879
<v Speaker 3>the technology is not. Danish EV charging software startup Monta

0:21:47.200 --> 0:21:50.040
<v Speaker 3>raised eighty seven million dollars in bench capital to expand

0:21:50.080 --> 0:21:52.560
<v Speaker 3>its business across Europe and the US, and a doctored

0:21:52.680 --> 0:21:56.200
<v Speaker 3>audio message of President Joe Biden urging voters in New

0:21:56.200 --> 0:21:59.800
<v Speaker 3>Hampshire not to cast their ballots in today's democratic primary

0:22:00.040 --> 0:22:03.719
<v Speaker 3>circulated over the weekend. The deep Fake alarmed the world's

0:22:03.720 --> 0:22:06.960
<v Speaker 3>disinformation experts very quick check in on the markets and

0:22:07.000 --> 0:22:10.000
<v Speaker 3>a's that one hundred not doing a great deal in

0:22:10.040 --> 0:22:13.680
<v Speaker 3>this current session, but the context this week is earnings.

0:22:13.720 --> 0:22:16.119
<v Speaker 3>Think about Netflix after the bell, Tesla's have come in

0:22:16.119 --> 0:22:19.159
<v Speaker 3>twenty four hours, Intel later in the week. It's becoming

0:22:19.200 --> 0:22:22.159
<v Speaker 3>more of a consideration for the market broadly, and there

0:22:22.160 --> 0:22:24.400
<v Speaker 3>are high hopes of the Magnificent seven. The real big

0:22:24.480 --> 0:22:27.359
<v Speaker 3>question is do we see earning's growth and do we

0:22:27.400 --> 0:22:30.160
<v Speaker 3>see key metrics beat when it comes to the much

0:22:30.240 --> 0:22:32.159
<v Speaker 3>broader name list of names that we have in the

0:22:32.200 --> 0:22:33.119
<v Speaker 3>technology sector.

0:22:33.640 --> 0:22:34.280
<v Speaker 4>Another name that.

0:22:34.200 --> 0:22:36.639
<v Speaker 3>I've been watching closely but we've talked about less in

0:22:36.680 --> 0:22:39.000
<v Speaker 3>the last week or so is Amazon. The stock actually

0:22:39.000 --> 0:22:41.760
<v Speaker 3>flatters a pancake in the current session, but a story

0:22:41.760 --> 0:22:45.080
<v Speaker 3>breaking overnight in Europe. The French regulator or a watchdog

0:22:45.720 --> 0:22:49.159
<v Speaker 3>is looking at Amazon and basically concerned about a system

0:22:49.200 --> 0:22:53.560
<v Speaker 3>it's put in place over employee surveillance monitoring the work

0:22:53.600 --> 0:22:58.199
<v Speaker 3>activities and work performance of those employees. It was a

0:22:58.200 --> 0:23:01.680
<v Speaker 3>thirty four million dollar fine. It open lower, but you

0:23:01.680 --> 0:23:03.960
<v Speaker 3>can see we've pair those losses and we're now back

0:23:04.000 --> 0:23:07.119
<v Speaker 3>with the e commerce giant trading down a tenth of

0:23:07.160 --> 0:23:10.240
<v Speaker 3>one percent. Now another story in the e commerce context.

0:23:10.240 --> 0:23:14.720
<v Speaker 3>TIMU is known as a destination for younger consumers, but

0:23:15.440 --> 0:23:19.280
<v Speaker 3>new research paints a different picture. Actually, the Chinese e

0:23:19.280 --> 0:23:24.639
<v Speaker 3>commerce app is attracting hordes of boomer and Gen X shoppers.

0:23:25.040 --> 0:23:29.080
<v Speaker 3>Let's bring in Bloomberg's boomer in chief spencer Sopa. Now

0:23:29.119 --> 0:23:31.640
<v Speaker 3>I'm that's unkind spencer. Let's bring in Bloomberg's e commerce

0:23:31.680 --> 0:23:34.919
<v Speaker 3>chief spencer Soper. I mean, this is surprising when I

0:23:34.960 --> 0:23:37.920
<v Speaker 3>hear about Timu, I hear about it from all kinds

0:23:37.960 --> 0:23:41.639
<v Speaker 3>of people. But like we suggested a younger audience. What

0:23:41.760 --> 0:23:43.480
<v Speaker 3>is the data set you got hold of and what

0:23:43.520 --> 0:23:44.199
<v Speaker 3>does it tell you?

0:23:45.680 --> 0:23:48.680
<v Speaker 11>Yeah, basically Grandma is addicted to Timus.

0:23:48.720 --> 0:23:51.399
<v Speaker 4>So that was a surprise for us too. You think

0:23:51.400 --> 0:23:52.720
<v Speaker 4>that allowed these these.

0:23:52.560 --> 0:23:57.120
<v Speaker 11>App especially mobile centered e commerce platforms like Timu, would

0:23:57.119 --> 0:23:59.240
<v Speaker 11>attract younger shoppers who are glued to their phones, But

0:23:59.400 --> 0:24:02.240
<v Speaker 11>it turns out you're seeing the most loyal shoppers in

0:24:02.280 --> 0:24:05.120
<v Speaker 11>the in the boomer category fifty nine and older. That's

0:24:05.240 --> 0:24:09.000
<v Speaker 11>data from a tain that that monitors credit card transactions

0:24:09.320 --> 0:24:11.879
<v Speaker 11>and so it and then when you think about it

0:24:11.880 --> 0:24:13.439
<v Speaker 11>and peel back a little bit, you do see that.

0:24:14.080 --> 0:24:16.199
<v Speaker 11>You know, there are a lot of gaming aspects. When

0:24:16.240 --> 0:24:17.800
<v Speaker 11>you open the app, you almost feel like you walked

0:24:17.840 --> 0:24:21.440
<v Speaker 11>into a Las Vegas casino or something. So it does

0:24:21.560 --> 0:24:24.199
<v Speaker 11>make sense that older shoppers are drawn to it.

0:24:25.200 --> 0:24:29.080
<v Speaker 3>What's interesting is that Timu has been operating in the

0:24:29.160 --> 0:24:31.440
<v Speaker 3>US for not that long, I think like twelve months

0:24:31.520 --> 0:24:33.240
<v Speaker 3>or so, right, Spencer. And one of the reasons I

0:24:33.240 --> 0:24:35.840
<v Speaker 3>love your reporting in the context of all these e

0:24:35.840 --> 0:24:37.960
<v Speaker 3>commerce companies is you go out into the real world

0:24:38.200 --> 0:24:40.359
<v Speaker 3>and you speak to people using the platform.

0:24:40.920 --> 0:24:42.639
<v Speaker 4>What did you find out there and who did you

0:24:42.640 --> 0:24:43.040
<v Speaker 4>speak to?

0:24:44.400 --> 0:24:48.000
<v Speaker 11>Yeah, we spoke to one woman in her fifties from Spokane, Washington,

0:24:48.080 --> 0:24:51.359
<v Speaker 11>out here on the West coast, and she, you know,

0:24:51.440 --> 0:24:53.840
<v Speaker 11>she said she was actually introduced to introduced to it

0:24:53.880 --> 0:24:56.080
<v Speaker 11>by your mother, who's in her seventies. So again it

0:24:56.119 --> 0:24:59.160
<v Speaker 11>reinforced that older shopper. And you know, basically she just said, hey,

0:24:59.160 --> 0:25:02.800
<v Speaker 11>look there's there's great deals on here, I can spend freely.

0:25:02.880 --> 0:25:04.000
<v Speaker 4>She'd made like thirty.

0:25:03.760 --> 0:25:08.600
<v Speaker 11>Purchases, buying all kinds of things, vases, home goods, you know,

0:25:08.680 --> 0:25:11.960
<v Speaker 11>like winter hats for her children, and she also bought

0:25:11.960 --> 0:25:14.359
<v Speaker 11>some soap dispenser and even part of the fun was

0:25:14.359 --> 0:25:15.680
<v Speaker 11>that she knows some of the stuff was going to

0:25:15.760 --> 0:25:18.760
<v Speaker 11>show up, you know and just be absolute garbage, you know,

0:25:18.760 --> 0:25:21.800
<v Speaker 11>and that's what she mentioned about about her the soap Dispenser,

0:25:21.840 --> 0:25:23.480
<v Speaker 11>that a lot of things she bought are quite nice,

0:25:23.640 --> 0:25:25.360
<v Speaker 11>but one thing that looked nice on the image, when

0:25:25.359 --> 0:25:27.080
<v Speaker 11>it got to her house, it was just a piece

0:25:27.119 --> 0:25:28.600
<v Speaker 11>of junk and all she could do was laugh because

0:25:28.600 --> 0:25:29.840
<v Speaker 11>she didn't spend that much money on it.

0:25:30.600 --> 0:25:34.360
<v Speaker 3>All right, Bobo, Spenser Sofa just terrific reporting out there in.

0:25:34.320 --> 0:25:36.800
<v Speaker 4>The real world, but also a key grasp of the data.

0:25:36.840 --> 0:25:39.639
<v Speaker 3>And let's stick with that data from Attain and bring

0:25:39.640 --> 0:25:43.200
<v Speaker 3>in Brian Mendelbaum, CEO of the Chicago research firm Attain,

0:25:43.480 --> 0:25:46.359
<v Speaker 3>which minds credit card data from a panel of around

0:25:46.400 --> 0:25:50.200
<v Speaker 3>six point five million consumers, and again Attained, the firm

0:25:50.280 --> 0:25:53.640
<v Speaker 3>behind the report that Spencer was just outlining. Brian, it's

0:25:53.680 --> 0:25:59.280
<v Speaker 3>an interesting finding, right that for ages well. For twelve months,

0:25:59.280 --> 0:26:02.240
<v Speaker 3>we believe that tea was a hit with younger generations.

0:26:02.520 --> 0:26:03.480
<v Speaker 4>You found the opposite.

0:26:03.560 --> 0:26:07.160
<v Speaker 3>Let's start by explaining the methodology of how you brought

0:26:07.200 --> 0:26:07.879
<v Speaker 3>the data.

0:26:07.640 --> 0:26:13.359
<v Speaker 7>About Yeah sure a TAIN is a commerce data platform

0:26:13.920 --> 0:26:19.399
<v Speaker 7>that enables outcomes, both driving outcomes and measuring outcomes for

0:26:19.520 --> 0:26:23.600
<v Speaker 7>brands and advertisers. And unlike retailers who can only see

0:26:23.880 --> 0:26:27.119
<v Speaker 7>really inside of their four walls or on their shopping experiences.

0:26:27.600 --> 0:26:30.199
<v Speaker 7>Attain has over six and a half million consumers that

0:26:30.240 --> 0:26:33.480
<v Speaker 7>are with their consent, sharing over a half a billion

0:26:33.560 --> 0:26:36.840
<v Speaker 7>dollars a day in sales behavior, credit card, debit cards,

0:26:36.880 --> 0:26:41.760
<v Speaker 7>basket level information, and with that data, it gives us

0:26:42.040 --> 0:26:46.720
<v Speaker 7>an unrivaled view of how consumers are actually spending their

0:26:46.760 --> 0:26:50.960
<v Speaker 7>money and their behaviors in real time across retail in

0:26:51.000 --> 0:26:54.680
<v Speaker 7>every sector of the US economy, including social commerce channels,

0:26:55.440 --> 0:26:57.280
<v Speaker 7>which are what we're talking about today.

0:26:59.240 --> 0:27:01.320
<v Speaker 4>So get me wrong, Brian.

0:27:02.000 --> 0:27:05.639
<v Speaker 3>I'm a young man, and you know sometimes when I

0:27:05.680 --> 0:27:08.000
<v Speaker 3>go onto an e commerce platform, I look at the

0:27:08.040 --> 0:27:12.840
<v Speaker 3>basket size and I say stop to stop. But if

0:27:12.840 --> 0:27:16.920
<v Speaker 3>you look at the data, the transaction size difference between

0:27:17.320 --> 0:27:20.720
<v Speaker 3>somebody that in a category I fall into and the

0:27:20.760 --> 0:27:23.680
<v Speaker 3>boomers that Spencer was talking about, it's not that different

0:27:23.920 --> 0:27:25.720
<v Speaker 3>in terms of the dollar spend.

0:27:27.080 --> 0:27:29.000
<v Speaker 6>Yeah, it's not that different terms in terms of the

0:27:29.080 --> 0:27:29.680
<v Speaker 6>dollar spent.

0:27:29.880 --> 0:27:34.000
<v Speaker 7>It's the frequency in which these boomers and gen xers

0:27:34.080 --> 0:27:37.280
<v Speaker 7>are spending on the platform. I mean, what's really surprising,

0:27:37.640 --> 0:27:39.800
<v Speaker 7>if you really think about it, is that you would

0:27:39.840 --> 0:27:43.280
<v Speaker 7>think that this would be for the gen Z economy

0:27:43.680 --> 0:27:47.840
<v Speaker 7>because they're anchored in social media, it's their primary source

0:27:47.880 --> 0:27:54.680
<v Speaker 7>of content consumption. But in this retail e commerce environment

0:27:54.720 --> 0:27:57.440
<v Speaker 7>that's been evolving, we're going through somewhat of a renaissance,

0:27:57.840 --> 0:28:02.680
<v Speaker 7>and that our data suggests that digital is nuanced when

0:28:02.680 --> 0:28:06.439
<v Speaker 7>it comes down to it, and that it's every facet

0:28:06.520 --> 0:28:09.240
<v Speaker 7>of the economy has a different market and a different

0:28:09.320 --> 0:28:12.800
<v Speaker 7>niche and advertisers need to rethink their engagement strategies if

0:28:12.800 --> 0:28:16.159
<v Speaker 7>they want to capture more market share outside of the

0:28:16.200 --> 0:28:17.200
<v Speaker 7>gen Z economy.

0:28:18.320 --> 0:28:22.040
<v Speaker 3>Brian, the data helps us understand TEAMU, But in isolation,

0:28:22.400 --> 0:28:24.800
<v Speaker 3>have you guys got any data that helps us to

0:28:24.880 --> 0:28:28.600
<v Speaker 3>understand better Team Who's performance in this market, at least

0:28:28.600 --> 0:28:32.800
<v Speaker 3>against other players like Amazon, but also Sheen is an example.

0:28:34.040 --> 0:28:38.000
<v Speaker 7>Well, our research looked at last year Amazon Prime Days

0:28:38.040 --> 0:28:40.200
<v Speaker 7>and how Amazon was doing during the holiday season.

0:28:40.320 --> 0:28:41.480
<v Speaker 6>We saw the.

0:28:41.360 --> 0:28:46.000
<v Speaker 7>Initial get gos of the holiday kickoff that Amazon sales

0:28:46.040 --> 0:28:50.400
<v Speaker 7>were relatively flat, and arguably we're talking about a small base,

0:28:51.040 --> 0:28:53.920
<v Speaker 7>but Team has been around for a year, year and

0:28:53.920 --> 0:28:57.480
<v Speaker 7>a half and their growth has been explosive over that

0:28:57.480 --> 0:28:59.720
<v Speaker 7>period of time. Again, it's off of a small base,

0:29:00.240 --> 0:29:05.920
<v Speaker 7>but we're seeing what is the remarkable points around Are

0:29:06.080 --> 0:29:11.840
<v Speaker 7>retailers going to have the strangle like Amazon, Target Walmart

0:29:11.920 --> 0:29:14.600
<v Speaker 7>have the strangle on US consumers when it comes to

0:29:14.680 --> 0:29:15.400
<v Speaker 7>quick commerce.

0:29:15.600 --> 0:29:19.120
<v Speaker 6>Or are new entrants going to enter the be in.

0:29:19.000 --> 0:29:24.160
<v Speaker 7>The market and solve a unique need for different segments

0:29:24.240 --> 0:29:26.840
<v Speaker 7>in this fractured retail economy that started to come about.

0:29:28.080 --> 0:29:30.240
<v Speaker 3>Brian, what does the real time day to tell you

0:29:30.440 --> 0:29:33.440
<v Speaker 3>about the direction for Timu as we move past the

0:29:33.480 --> 0:29:35.400
<v Speaker 3>holidays in this early part of the new year.

0:29:37.280 --> 0:29:39.000
<v Speaker 6>Well, let's take a step back.

0:29:39.520 --> 0:29:44.400
<v Speaker 7>The interesting impact here is that companies like Timu and

0:29:44.560 --> 0:29:48.800
<v Speaker 7>Chien will have on US retail like Walmart and Amazon.

0:29:48.960 --> 0:29:52.880
<v Speaker 7>Will they will consumers lean on quality and brand equity

0:29:53.000 --> 0:29:56.320
<v Speaker 7>and fast shipping, or will we see a race to

0:29:56.360 --> 0:30:00.000
<v Speaker 7>the bottom so retailers like Chian will the low price.

0:30:00.000 --> 0:30:03.160
<v Speaker 7>This is really compel consumers to test this market and

0:30:03.160 --> 0:30:06.760
<v Speaker 7>the gamification that Spencer was talking about earlier. It's too

0:30:06.840 --> 0:30:09.200
<v Speaker 7>soon to tell, but I will tell you from our

0:30:09.320 --> 0:30:13.080
<v Speaker 7>data in real time, we are seeing massive impacts of

0:30:14.920 --> 0:30:19.000
<v Speaker 7>Chian and Timu entering the US market and stealing share

0:30:19.360 --> 0:30:23.760
<v Speaker 7>from all parts of the generational spectrum in the US

0:30:23.840 --> 0:30:24.960
<v Speaker 7>academy right now.

0:30:26.000 --> 0:30:29.680
<v Speaker 3>Brian Mandelbaum, CEO of attained with their own data on

0:30:29.720 --> 0:30:32.440
<v Speaker 3>how Timu's doing in its first twelve months in the US.

0:30:32.200 --> 0:30:32.920
<v Speaker 4>Thank you very much.

0:30:33.120 --> 0:30:35.280
<v Speaker 3>Coming up here on Bloomberg Technology, we're going to take

0:30:35.280 --> 0:30:39.640
<v Speaker 3>a look at investing in Europe with Plural Platform. That

0:30:39.720 --> 0:30:53.080
<v Speaker 3>conversation coming up next. This is Bloomberg Technology. Okay, let's

0:30:53.080 --> 0:30:55.880
<v Speaker 3>dive into the venture industry in Europe with our next

0:30:55.920 --> 0:30:59.720
<v Speaker 3>VEC spotlight. Guest Taveet Henricus, one of the co founders

0:30:59.720 --> 0:31:03.360
<v Speaker 3>of tech companies Wise and partner at Plural Platform, which

0:31:03.520 --> 0:31:06.480
<v Speaker 3>just raised a new four hundred million euro fund just

0:31:06.640 --> 0:31:10.560
<v Speaker 3>eighteen months after its debut fund. And the timing of

0:31:11.120 --> 0:31:15.840
<v Speaker 3>a second fund is interesting. The venture industry had mixed

0:31:15.880 --> 0:31:19.560
<v Speaker 3>fortunes in twenty twenty three, but just explain the rationale

0:31:19.720 --> 0:31:22.720
<v Speaker 3>to raise a new fund so quickly after the last.

0:31:23.880 --> 0:31:26.400
<v Speaker 10>So we have spent the past eighteen months busy investing.

0:31:26.800 --> 0:31:29.440
<v Speaker 10>We made twenty six investments in some of the most

0:31:29.440 --> 0:31:32.520
<v Speaker 10>ambitious European firms and as such we were getting ready

0:31:32.560 --> 0:31:34.840
<v Speaker 10>to raise the next fund. So for us, it made

0:31:34.880 --> 0:31:36.920
<v Speaker 10>complete temps to go back on the market then raise

0:31:36.960 --> 0:31:39.680
<v Speaker 10>a new fund which will continue on the same strategy.

0:31:39.720 --> 0:31:41.960
<v Speaker 10>And really what we're doing is we're looking for the

0:31:42.000 --> 0:31:45.000
<v Speaker 10>most ambitious European founders.

0:31:45.680 --> 0:31:48.240
<v Speaker 3>Tat talk to me about the LPs. You know, your

0:31:48.360 --> 0:31:51.600
<v Speaker 3>europe based fund four hundred million euros is sizable.

0:31:51.920 --> 0:31:53.720
<v Speaker 4>Where did the money come from?

0:31:54.800 --> 0:31:58.040
<v Speaker 10>Most of our money came from institutional investors, A lot

0:31:58.080 --> 0:32:01.160
<v Speaker 10>of them means the US university and downs pension funds,

0:32:01.560 --> 0:32:03.920
<v Speaker 10>So the classic tier one LPs.

0:32:05.360 --> 0:32:08.680
<v Speaker 3>And what do you think is their motivation for wanting

0:32:08.720 --> 0:32:11.080
<v Speaker 3>to put capital into a venture fund right now?

0:32:12.320 --> 0:32:14.680
<v Speaker 10>So what we are building is quite new for Europe.

0:32:15.240 --> 0:32:18.400
<v Speaker 10>In Europe, there are very few venture funds where all

0:32:18.440 --> 0:32:21.160
<v Speaker 10>of the partners are ex company builders. So I do

0:32:21.280 --> 0:32:23.600
<v Speaker 10>believe that the fact that the five partners say have

0:32:23.680 --> 0:32:26.680
<v Speaker 10>all built businesses is a key reason why people are

0:32:26.680 --> 0:32:29.480
<v Speaker 10>interested in investing. And also, I think we're coming to

0:32:29.520 --> 0:32:33.040
<v Speaker 10>a point where Europe is really punching at its real weight.

0:32:33.440 --> 0:32:35.160
<v Speaker 10>You know, we are now at a point where it's

0:32:35.160 --> 0:32:38.040
<v Speaker 10>a number of new companies started in Europe has surpassed

0:32:38.080 --> 0:32:40.480
<v Speaker 10>a number of companies started in the US. So I

0:32:40.520 --> 0:32:44.040
<v Speaker 10>think investors are very excited to see a lot of

0:32:44.080 --> 0:32:46.120
<v Speaker 10>companies coming from Europe. You know, if we look at

0:32:46.120 --> 0:32:48.880
<v Speaker 10>what's come from here in the past, add em Spotify,

0:32:48.960 --> 0:32:52.360
<v Speaker 10>why is Klarna? Lots of very big companies have come

0:32:52.400 --> 0:32:53.680
<v Speaker 10>in the past decade.

0:32:55.320 --> 0:32:58.600
<v Speaker 3>So where's the next big European name? You know that list?

0:32:59.160 --> 0:33:01.840
<v Speaker 3>Those are kind of the of Europe right Spotify is

0:33:01.880 --> 0:33:06.320
<v Speaker 3>a unique example. Many of them focused on fintech, though thematically,

0:33:06.360 --> 0:33:10.480
<v Speaker 3>what areas do you see opportunity in?

0:33:10.520 --> 0:33:13.280
<v Speaker 10>Europe is a large continent and I think there is

0:33:13.280 --> 0:33:15.080
<v Speaker 10>going to be a lot of different verticals that will

0:33:15.080 --> 0:33:18.120
<v Speaker 10>be built here. We're seeing lots in climate and energy.

0:33:18.200 --> 0:33:20.720
<v Speaker 10>We've invested in a company called Field which is building

0:33:20.720 --> 0:33:24.320
<v Speaker 10>brid scale batteries. It then Sarah's lots in deep tech.

0:33:24.440 --> 0:33:29.000
<v Speaker 10>We have a company proxim of Fusion building a usion reactor.

0:33:29.280 --> 0:33:32.440
<v Speaker 10>And obviously we can't get done without mentioning AI and

0:33:32.520 --> 0:33:35.960
<v Speaker 10>the way that AI is attacking different verticals. Robbin Ai

0:33:36.040 --> 0:33:38.840
<v Speaker 10>is one of our companies helping lawyers get away from

0:33:38.880 --> 0:33:42.760
<v Speaker 10>the dodgery and do more productive work, and similarly Teton

0:33:43.160 --> 0:33:47.120
<v Speaker 10>in healthcare sector helping nurses be more productive. So I

0:33:47.160 --> 0:33:50.440
<v Speaker 10>think we'll see successes come from a variety of industries it,

0:33:51.040 --> 0:33:53.400
<v Speaker 10>but I think what kind of combines them all is

0:33:53.680 --> 0:33:57.160
<v Speaker 10>ambitious founders looking to build consequential businesses.

0:33:58.480 --> 0:34:01.640
<v Speaker 3>Robin Ai is a company known to us. The CEO

0:34:01.680 --> 0:34:05.080
<v Speaker 3>has been on the program with US quite recently. It's

0:34:05.120 --> 0:34:08.560
<v Speaker 3>interesting because robin Ai is an example of a startup

0:34:08.920 --> 0:34:11.520
<v Speaker 3>that's taking on a giant right. They think of the

0:34:11.520 --> 0:34:16.279
<v Speaker 3>integration of their technology into existing Microsoft Office. But here

0:34:16.320 --> 0:34:20.000
<v Speaker 3>in the United States it is Microsoft, Amazon Aws and

0:34:20.080 --> 0:34:22.360
<v Speaker 3>open Ai leading the charge.

0:34:22.640 --> 0:34:24.200
<v Speaker 4>I always think about it as.

0:34:23.920 --> 0:34:26.799
<v Speaker 3>Kind of little and large, and I just asked if

0:34:26.800 --> 0:34:31.440
<v Speaker 3>you could assess the chances that Europe has of bringing

0:34:31.680 --> 0:34:33.520
<v Speaker 3>a big AI player to the four.

0:34:35.360 --> 0:34:38.120
<v Speaker 10>I think there is a lot of AI talent in Europe.

0:34:38.600 --> 0:34:41.160
<v Speaker 10>You can look at some of the past geared announcements

0:34:41.200 --> 0:34:44.600
<v Speaker 10>from coming from France, for example about all alone technology,

0:34:44.920 --> 0:34:47.400
<v Speaker 10>and certainly if you look at vertical applications, you know,

0:34:47.440 --> 0:34:51.280
<v Speaker 10>I do not believe that open ai can do something

0:34:51.280 --> 0:34:53.880
<v Speaker 10>in every vertical. So what we're looking to back is

0:34:53.960 --> 0:34:57.360
<v Speaker 10>companies in a vertical and how as a proprietary data

0:34:57.680 --> 0:35:00.600
<v Speaker 10>and in these verticals. I am convin so that Europe

0:35:00.600 --> 0:35:02.759
<v Speaker 10>can build some of the champions.

0:35:04.200 --> 0:35:04.480
<v Speaker 4>Tavit.

0:35:04.520 --> 0:35:07.920
<v Speaker 3>I'm really interested in plural platforms. You have personnel in London,

0:35:08.320 --> 0:35:11.720
<v Speaker 3>you have personnel in talent. What is it like running

0:35:11.760 --> 0:35:15.080
<v Speaker 3>a venture firm that's kind of pan European. How do

0:35:15.120 --> 0:35:16.960
<v Speaker 3>you operate day to day.

0:35:18.160 --> 0:35:20.399
<v Speaker 10>Since the nature of Europe is that it's a number

0:35:20.440 --> 0:35:23.360
<v Speaker 10>of different ecosystems. So if you look at the bigger

0:35:23.400 --> 0:35:26.400
<v Speaker 10>clusters in Europe, we have UK, we have Germany, we

0:35:26.440 --> 0:35:29.600
<v Speaker 10>have Estonia, we have some Nordic city. So it's really

0:35:29.680 --> 0:35:33.120
<v Speaker 10>a question of being in touch with people in all

0:35:33.160 --> 0:35:36.480
<v Speaker 10>of these different ecosystems and making sure that the most

0:35:36.480 --> 0:35:39.120
<v Speaker 10>ambitious founders knows that the Plural is a place to

0:35:39.160 --> 0:35:40.120
<v Speaker 10>come looking for capital.

0:35:40.239 --> 0:35:45.920
<v Speaker 3>Right now, is there one particular city that you visited

0:35:46.000 --> 0:35:49.560
<v Speaker 3>recently in Europe and you thought there's something here in

0:35:49.640 --> 0:35:52.319
<v Speaker 3>terms of technology, talent or what's being built.

0:35:54.040 --> 0:35:58.200
<v Speaker 10>We have done two deals in Amsterdam recently. I think

0:35:58.280 --> 0:36:00.919
<v Speaker 10>that's something which I would not have a year ago.

0:36:01.080 --> 0:36:05.200
<v Speaker 10>So I put taps as a rising star and.

0:36:05.239 --> 0:36:07.239
<v Speaker 3>Really quick, what were those deals? Tell me about the

0:36:07.280 --> 0:36:08.280
<v Speaker 3>technology companies?

0:36:09.840 --> 0:36:12.560
<v Speaker 10>So one of the mess particle, which is a particle

0:36:12.600 --> 0:36:15.480
<v Speaker 10>printer and a company has not yet been announced, but

0:36:15.760 --> 0:36:17.120
<v Speaker 10>we'll talk about it very soon.

0:36:18.000 --> 0:36:20.440
<v Speaker 3>Okay, Well you leave us with that that tease, and

0:36:20.440 --> 0:36:22.080
<v Speaker 3>you have to come back on the program when it

0:36:22.120 --> 0:36:25.240
<v Speaker 3>is announced. Tab Henricus partner a Plural platform.

0:36:25.280 --> 0:36:26.040
<v Speaker 4>Thank you so much.

0:36:27.160 --> 0:36:32.520
<v Speaker 3>Today's going viral Oscars nominations are out and trending online.

0:36:32.560 --> 0:36:35.080
<v Speaker 3>I see it trending on X in the United States.

0:36:35.239 --> 0:36:39.520
<v Speaker 3>I see real time Google trends. The OSCARS nominations top

0:36:39.560 --> 0:36:43.000
<v Speaker 3>of the tree. But there are some major names getting

0:36:43.080 --> 0:36:48.600
<v Speaker 3>snubbed after going viral all summer. Barbie missed some big nods.

0:36:48.640 --> 0:36:53.160
<v Speaker 3>Director Greta Gerwig did not receive a nomination for directing

0:36:53.200 --> 0:36:56.600
<v Speaker 3>The Billion Dollar Film, and Margo Robbie also missed out

0:36:56.880 --> 0:37:00.600
<v Speaker 3>for Best Actress. However, the movie is contended for Best

0:37:00.680 --> 0:37:05.880
<v Speaker 3>Picture and Ken actor Ryan Gosling did get nominated for

0:37:06.040 --> 0:37:09.359
<v Speaker 3>Best Supporting Actor. But I'm also looking on social media,

0:37:09.400 --> 0:37:11.840
<v Speaker 3>and I'm looking on Google and many of you making

0:37:11.880 --> 0:37:15.600
<v Speaker 3>your views known on some of those Oscars snubs. Today's

0:37:15.600 --> 0:37:16.200
<v Speaker 3>going viral.

0:37:16.480 --> 0:37:16.760
<v Speaker 4>Okay.

0:37:16.800 --> 0:37:18.879
<v Speaker 3>The ninety six FORCADME Awards will be held on March

0:37:19.080 --> 0:37:22.120
<v Speaker 3>tenth at seven pm, live on ABC and hosted for

0:37:22.160 --> 0:37:24.960
<v Speaker 3>a fourth time by Jimmy Kimmel. Another big story that

0:37:25.000 --> 0:37:27.680
<v Speaker 3>we're watching, Ali barber Schez jumped after The New York

0:37:27.719 --> 0:37:31.440
<v Speaker 3>Times reported that founder Jack mar and Ali barbera chairman

0:37:31.560 --> 0:37:34.520
<v Speaker 3>Josie have both been buying up shares in the company

0:37:34.520 --> 0:37:37.920
<v Speaker 3>Bloomberg's Isabelle Lee joins me for more in New York.

0:37:38.360 --> 0:37:40.960
<v Speaker 3>That is a kind of story as old as time.

0:37:41.680 --> 0:37:45.719
<v Speaker 3>Executives buying up shares of company gives confidence. But in

0:37:45.840 --> 0:37:50.280
<v Speaker 3>Jack mars case, that's interesting given his current and historic

0:37:50.320 --> 0:37:51.480
<v Speaker 3>relationship with the company.

0:37:51.920 --> 0:37:54.319
<v Speaker 12>Definitely interesting and a lot of layers here. So we

0:37:54.400 --> 0:37:56.720
<v Speaker 12>have the duo snapping up shares in the fourth quarter.

0:37:56.800 --> 0:38:00.000
<v Speaker 12>Ever since the stocks price has plunged. We have Time

0:38:00.200 --> 0:38:02.400
<v Speaker 12>buying around one hundred and fifty one worth of Ali

0:38:02.440 --> 0:38:06.200
<v Speaker 12>Baba's US traded shares through his family's investment vehicle, that's

0:38:06.239 --> 0:38:09.480
<v Speaker 12>Bluepool Management. And we have Ma buying around fifty million

0:38:09.480 --> 0:38:11.960
<v Speaker 12>worth of shares in the fourth quarter. So recall that

0:38:12.000 --> 0:38:14.560
<v Speaker 12>Ma gave up his executive chairman role in twenty nineteen,

0:38:14.800 --> 0:38:17.439
<v Speaker 12>but he is still a major stockholder. And to your point,

0:38:17.680 --> 0:38:19.959
<v Speaker 12>this is kind of complex because what does this mean

0:38:20.360 --> 0:38:23.200
<v Speaker 12>too many investors, It means that really it just reflects

0:38:23.200 --> 0:38:26.080
<v Speaker 12>the belief of Ma inside that maybe Ali Baba share

0:38:26.160 --> 0:38:29.319
<v Speaker 12>is still undervalued. Recall that its shares fell sharply from

0:38:29.360 --> 0:38:32.399
<v Speaker 12>its twenty twenty peak as sharp as eighty percent. At

0:38:32.640 --> 0:38:34.960
<v Speaker 12>Ali Baba's market cap right now is harving around one

0:38:35.080 --> 0:38:38.960
<v Speaker 12>seventy five million billion rather and in twenty twenty it

0:38:39.000 --> 0:38:41.919
<v Speaker 12>was hovering around eight hundred and fifty billions, So that's

0:38:41.960 --> 0:38:43.319
<v Speaker 12>really a huge trim there.

0:38:44.280 --> 0:38:47.080
<v Speaker 3>It's worth reminding the Bluebot Technology audience that what we're

0:38:47.120 --> 0:38:49.960
<v Speaker 3>talking about right now is a seven percent gain on

0:38:50.040 --> 0:38:53.080
<v Speaker 3>the US listed shares of Ali Barber or the ADR's

0:38:53.280 --> 0:38:57.000
<v Speaker 3>American Depository receipts. But it is the China tech darling,

0:38:57.080 --> 0:38:59.000
<v Speaker 3>or at least that's up for debate. It has been,

0:38:59.360 --> 0:39:03.200
<v Speaker 3>and behind the scenes there has been this executive shuffle

0:39:03.400 --> 0:39:05.040
<v Speaker 3>that you and I have talked about over the last

0:39:05.040 --> 0:39:05.919
<v Speaker 3>few months on the show.

0:39:06.400 --> 0:39:09.080
<v Speaker 12>Yes, so this gain today is the most we'b scene

0:39:09.120 --> 0:39:12.120
<v Speaker 12>since August, but zooming out. The stock has fallen over

0:39:12.200 --> 0:39:14.719
<v Speaker 12>forty three percent in the past twelve months, and again

0:39:14.760 --> 0:39:16.840
<v Speaker 12>this isn't good news because Ali Baba used to be

0:39:16.920 --> 0:39:19.120
<v Speaker 12>the darling, used to be the crown jewel of China,

0:39:19.200 --> 0:39:22.200
<v Speaker 12>but now it's fallen behind rivals like ten Cent and PDD.

0:39:22.520 --> 0:39:25.560
<v Speaker 12>And this is why I'm in a rare public intervention

0:39:25.719 --> 0:39:28.960
<v Speaker 12>last year posted on their public forum in his company

0:39:29.239 --> 0:39:32.880
<v Speaker 12>that Alibaba should maybe course correct and he praised PDD

0:39:33.000 --> 0:39:35.480
<v Speaker 12>for a job well done. And it just really goes

0:39:35.520 --> 0:39:37.040
<v Speaker 12>to show that this is kind of like a nudge

0:39:37.040 --> 0:39:39.480
<v Speaker 12>in the shoulder for Ali Baba to probably do better.

0:39:39.520 --> 0:39:41.120
<v Speaker 12>But Mad did end on a good note and he

0:39:41.160 --> 0:39:44.319
<v Speaker 12>said Ali Baba could be successful again with hard work.

0:39:45.200 --> 0:39:45.399
<v Speaker 6>Yeah.

0:39:45.560 --> 0:39:47.839
<v Speaker 3>I was reading the New York Times report and there

0:39:47.880 --> 0:39:49.960
<v Speaker 3>is a rationale behind the current buying.

0:39:50.840 --> 0:39:53.080
<v Speaker 4>What is it is about? According to that report?

0:39:53.520 --> 0:39:55.840
<v Speaker 12>The New York Times report is saying that it's really

0:39:55.920 --> 0:39:58.799
<v Speaker 12>just not Ali Baba because overall, if you look at

0:39:58.800 --> 0:40:01.359
<v Speaker 12>the benchmark index of China, this USI index hit its

0:40:01.360 --> 0:40:03.759
<v Speaker 12>slowest in five years this week, and this is why

0:40:03.840 --> 0:40:06.880
<v Speaker 12>Chinese authorities are muling a package to stabilize and to

0:40:06.960 --> 0:40:09.680
<v Speaker 12>arrest the stock market route. They're looking at around two

0:40:09.719 --> 0:40:12.200
<v Speaker 12>hundred and seventy eight billion ED, so that's really a

0:40:12.239 --> 0:40:15.120
<v Speaker 12>significant amount, and they're looking to buy mainly from offshore

0:40:15.120 --> 0:40:18.319
<v Speaker 12>accounts of Chinese state owned companies. But if you ask investors,

0:40:18.560 --> 0:40:20.520
<v Speaker 12>some of them are kind of this illusion. They're not

0:40:20.680 --> 0:40:23.880
<v Speaker 12>feeling as optimistic because they said, Okay, this may spark

0:40:23.920 --> 0:40:27.160
<v Speaker 12>a little rebound, but it's the fundamentals that need fixing.

0:40:28.280 --> 0:40:28.560
<v Speaker 4>Okay.

0:40:28.560 --> 0:40:31.719
<v Speaker 3>Bloomberg's Isabelle Lee there on Ali Barber's US listed shares,

0:40:31.719 --> 0:40:34.720
<v Speaker 3>which as Isabelle said, are currently up around seven percent,

0:40:34.760 --> 0:40:37.760
<v Speaker 3>on track for their biggest jump since August of twenty

0:40:37.800 --> 0:40:40.440
<v Speaker 3>twenty three August last year. That does it for what

0:40:40.520 --> 0:40:43.040
<v Speaker 3>was a packed edition of Bloomberg Technology.

0:40:43.200 --> 0:40:45.280
<v Speaker 4>A big thank you to everyone that's checking out the podcast.

0:40:45.320 --> 0:40:47.640
<v Speaker 3>I know many of you listen on your way into

0:40:47.680 --> 0:40:51.000
<v Speaker 3>work on Apple, Spotify, iHeart, and just as a reminder,

0:40:51.040 --> 0:40:53.560
<v Speaker 3>we are posting the podcast to all of the Bloomberg

0:40:53.600 --> 0:40:57.480
<v Speaker 3>platforms as well. Two days in into what is quickly

0:40:57.520 --> 0:41:00.360
<v Speaker 3>becoming a week all about technology earnings, and that is

0:41:00.400 --> 0:41:03.640
<v Speaker 3>what the conversation will be on this program from San Francisco,

0:41:04.040 --> 0:41:05.839
<v Speaker 3>This is Bloomberg Technology.