WEBVTT - Twitter vs. Threads and Alibaba Surges

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<v Speaker 1>From the heart where Innovation, money and power Collie in

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<v Speaker 1>Silicon Valley, NBN. This is Bloomberg Technology with Caroline Hide

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<v Speaker 1>and Ed Ludlow.

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<v Speaker 2>I'm Caroline Hyde at Bloomberg's Wheldo quarters in.

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<v Speaker 3>New York, and I'm Ed Ludlow out here in San Francisco.

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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 2>We'll break down the battle between Twitter and Threads. Is

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<v Speaker 2>the new platform hits seventeen million users like Elon Musk's

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<v Speaker 2>company threatens legal action.

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<v Speaker 3>Against Meta Plus, Ali Barber surges as China finds Ang

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<v Speaker 3>Group and ten Cent, signaling the end of a regulatory

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<v Speaker 3>crackdown could be near. We'll have more details.

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<v Speaker 2>Ahead, and we'll get inside into Apple's vision pro plans

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<v Speaker 2>as it read is a slow rollout of the three

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<v Speaker 2>and a half thousand dollars headset. All that so much

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<v Speaker 2>more to calm. Let's stick with threads and pieces, say

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<v Speaker 2>Bloomg opinion columnists Davely has been writing all about it.

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<v Speaker 2>It talks about how it was like run into a

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<v Speaker 2>destination wedding with familiar faces but a pretty unfamiliar setting. Eventually,

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<v Speaker 2>someone might be brave enough to quietly mutter, So do

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<v Speaker 2>you think it'll last.

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<v Speaker 4>That's Ring M.

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<v Speaker 2>Blomberg, opinion tech columnist Daily. With all the analogies, it

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<v Speaker 2>was a beautiful analogy of a destination wedding. Before I

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<v Speaker 2>get into the wedding gifts that we're giving them of

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<v Speaker 2>our privacy data and the money that they might be

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<v Speaker 2>able to reap off the back of it, I want

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<v Speaker 2>to ask just how this day too, of the destination

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<v Speaker 2>wedding is going. Is the party still there is at

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<v Speaker 2>hot people remaining dedicated?

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<v Speaker 4>Well, I think day.

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<v Speaker 5>Two may be the wedding itself. Right, everyone's here, The

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<v Speaker 5>people who perhaps slow from other places have arrived.

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<v Speaker 4>Soon.

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<v Speaker 5>I guess we're going to start having questions about what

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<v Speaker 5>exactly the staying power of this network is. And I

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<v Speaker 5>think already you're starting to see people sort of pick

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<v Speaker 5>apart what the future of Threads might be depending on

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<v Speaker 5>what they're going to be allowed to do on the platform,

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<v Speaker 5>allowed to say on the platform. There's been some unease

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<v Speaker 5>about how tightly linked it is to Instagram, for example,

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<v Speaker 5>and also people have been saying, well, where are all

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<v Speaker 5>the feat If you go on Twitter, you can do spaces,

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<v Speaker 5>you can do direct messages, you can do many other

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<v Speaker 5>things that right now threads can't do. Adam Musseeri, the

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<v Speaker 5>CEO of Instagram, he's there saying, don't worry, we're working

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<v Speaker 5>on it.

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<v Speaker 4>We're going to get to that.

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<v Speaker 5>You just have to be patient, because what, of course

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<v Speaker 5>they did was because Elon Musk was having such trouble

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<v Speaker 5>with Twitter. They moved it forward so they could capitalize

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<v Speaker 5>on that trouble. And so it's not perhaps quite as

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<v Speaker 5>ready as they might have wanted it to be at

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<v Speaker 5>the point that they brought it onto the market. But

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<v Speaker 5>that initial reaction seventy million people, even though it's Facebook

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<v Speaker 5>and they have this big head start with Instagram obviously,

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<v Speaker 5>getting seventy million people to download a new app in

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<v Speaker 5>the space of a couple of days, I mean, it's

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<v Speaker 5>a remarkable feat of onboarding.

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<v Speaker 4>Really.

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<v Speaker 2>Now you're mentioning your musk in a wedding, there's always

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<v Speaker 2>that moment where you can say, does anyone here perhaps speak

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<v Speaker 2>against this nutal? And I feel like Elil Musk's that

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<v Speaker 2>guy who's just walked into the church and saying, I

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<v Speaker 2>protest you cannot get married.

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<v Speaker 4>What is going on?

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<v Speaker 2>What is and what is the realism of this legal letter?

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<v Speaker 2>Because he sends a few around as the mistership prop.

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<v Speaker 5>He does, he does, and the particular lawyer that sent

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<v Speaker 5>the letter has been Elon Musk's right hand man in

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<v Speaker 5>all of his legal battles, and you know, I've been

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<v Speaker 5>in the court room for many of them. I mean, look,

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<v Speaker 5>until we see the substance of any complaint, I think

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<v Speaker 5>it's really hard to note, right.

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<v Speaker 4>I mean, because the.

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<v Speaker 5>Letter made some claims that there was people at Meta

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<v Speaker 5>that had been taken from Twitter purposely to build threads, even.

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<v Speaker 2>Though Twitter have lost so many employing white.

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<v Speaker 5>I mean, they let them go themselves and perhaps they've

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<v Speaker 5>gone on to new jobs at Meta. They've said no

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<v Speaker 5>form of Twitter employees were involved in the creation of threads,

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<v Speaker 5>and so I think it's really up to Elon Musk

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<v Speaker 5>and his lawyer to bring that evidence and say here's

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<v Speaker 5>why we think we have a complaint. There's a big

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<v Speaker 5>jump between threatening to take legal action and actually taking

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<v Speaker 5>legal action, and so I think until we see that moment,

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<v Speaker 5>that's when we really know how serious Elon Musk feels

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<v Speaker 5>about being copied by Meta.

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<v Speaker 3>Just a quick point, Karen Dave, I read that letter

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<v Speaker 3>that was sent on must behalf to Zuckerberg and Meta's

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<v Speaker 3>legal counsel.

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<v Speaker 4>So what's funny.

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<v Speaker 3>Linda Yakarino, the CEO of Twitter, is not one of

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<v Speaker 3>the co signatories, and she's not in copy either. It

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<v Speaker 3>is sent on Elon Musks behalf to Meta Dave.

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<v Speaker 4>What do you make of that?

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<v Speaker 5>Well, I think this is another question, isn't it of

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<v Speaker 5>the degree to which Linda Yakarino is in charge of

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<v Speaker 5>Twitter at all? I mean, when Twitter was having its

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<v Speaker 5>issues last weekend with the big rape limiting problems where

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<v Speaker 5>you could only see a certain number of tweets, the

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<v Speaker 5>CEO of the company didn't say anything for several days,

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<v Speaker 5>and her interactions were only to like the tweets that

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<v Speaker 5>Elon Musk had been posting. And even when she was

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<v Speaker 5>first put into that job, I wrote at the time,

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<v Speaker 5>and many others did, that there's only ever really going

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<v Speaker 5>to be one person in charge of Twitter, and that's

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<v Speaker 5>Elon Musk. And we've just seen that yet again with

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<v Speaker 5>like you say this letter. One of the things I

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<v Speaker 5>think is striking about the lawyer in particular is that

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<v Speaker 5>it wasn't that long ago that he was describing his

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<v Speaker 5>role as no longer being at Twitter, and that he

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<v Speaker 5>was still Elon Musk's personal lawyer, but his business with

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<v Speaker 5>Twitter had taken a backseat and the company was dealing

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<v Speaker 5>with itself.

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<v Speaker 4>And so this may be an instance.

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<v Speaker 5>And we've seen it from Elon Musk in the past,

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<v Speaker 5>this maybe an instance where he's just incensed personally and

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<v Speaker 5>wants to go after this. But again, until we see

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<v Speaker 5>exactly what he thinks his case is, it's very hard

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<v Speaker 5>to address.

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<v Speaker 4>You know what the merits are of that.

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<v Speaker 3>Let's get back to the technology and the platform, right

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<v Speaker 3>You point out in the Bloomberg opinion column that the

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<v Speaker 3>onboarding is a big part of this. You can just

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<v Speaker 3>simply take your Instagram following convert it over to threads.

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<v Speaker 3>And you know, Caroline's heard me say this a few

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<v Speaker 3>times in the last few days. I went back and

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<v Speaker 3>looked at Twitter's s one. It took them a year

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<v Speaker 3>to get from thirty million users to seventy million between

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<v Speaker 3>March or twenty ten and March twenty eleven. Met has

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<v Speaker 3>done it in forty eight hours.

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<v Speaker 5>I mean, it's clearly a huge competitive advantage to have

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<v Speaker 5>Instagram in your back pocket to launch a new social network.

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<v Speaker 5>I think one of the interesting comparisons that I've seen

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<v Speaker 5>recently is Facebook Meta has only managed to get two

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<v Speaker 5>hundred thousand people into the metaverse, right, so this has

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<v Speaker 5>already been vastly more successful than what their big strategy

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<v Speaker 5>was meant to have been. I mean, look, it's being

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<v Speaker 5>able to bring those Instagram followers over is obviously a

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<v Speaker 5>great benefit.

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<v Speaker 4>What I do think would be an issue.

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<v Speaker 5>And something that I've heard people sort of talking about,

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<v Speaker 5>is you know, what does that say about the nature

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<v Speaker 5>of what Threads is going to be Because Twitter was

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<v Speaker 5>a very diverse grouping of people on the Internet, whereas

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<v Speaker 5>Instagram was particularly popular with influencers and creators and some

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<v Speaker 5>of the more sort of celebrity culture online. And I

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<v Speaker 5>think one of the risks might be that while Threads

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<v Speaker 5>may be a Twitter killer, so to speak, it may

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<v Speaker 5>not eventually be a Twitter replacement. You know, there could

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<v Speaker 5>be a shift of people going from one platform to

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<v Speaker 5>the other, but we might still lose what made Twitter

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<v Speaker 5>a worthwhile place to be on the Internet, which is why,

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<v Speaker 5>you know, when you look at some of these new alternatives,

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<v Speaker 5>the smaller alternatives like blue Sky and T two and

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<v Speaker 5>spill and we don't have time to say them all,

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<v Speaker 5>I suspect they might be feeling quite downheartened by the

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<v Speaker 5>fact that Meta have done this, But actually I think

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<v Speaker 5>in time there will still be space for these, for

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<v Speaker 5>these smaller alternatives.

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<v Speaker 2>And to that point you mentioned their Marsterden. There's also

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<v Speaker 2>Blue Sky. These are decentralized. And what's been interesting is

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<v Speaker 2>this talk of a fediverse and the fact that eventually

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<v Speaker 2>Threads could be built upon, you know, one of these

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<v Speaker 2>overall protocols where you could take your people, your followers

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<v Speaker 2>with you and share them amongst all these sorts of

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<v Speaker 2>social media platforms. When do you think that might happen?

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<v Speaker 2>Because we got teased it and then it didn't go live,

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<v Speaker 2>of course, because they sort of pushed forward the outlet.

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<v Speaker 5>Yeah, I mean, it's certainly something they've committed to. I'd

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<v Speaker 5>like to see it quite soon. I think that would

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<v Speaker 5>be one thing that could convince me that Meta is

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<v Speaker 5>serious about being more open with the Internet.

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<v Speaker 4>This is them.

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<v Speaker 5>I think it depends what they see the value of

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<v Speaker 5>threads being right, if Threads is a way to bring

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<v Speaker 5>people into the Facebook family of apps as they call them,

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<v Speaker 5>with the view of having more engagement on Instagram, more

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<v Speaker 5>engagement on the Facebook Blue app, the main app, which

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<v Speaker 5>is really not the place where things happen anymore, then

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<v Speaker 5>it could potentially be useful.

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<v Speaker 4>But yes, you're right, they could lose the ability.

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<v Speaker 5>To own this entire community, put their ads in there,

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<v Speaker 5>monetize it as much as possible. And that's where I

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<v Speaker 5>think the most difficult thing for Threads is going to

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<v Speaker 5>be almost fighting against the instincts of Meta the company.

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<v Speaker 5>They want to have the control, they want to eventually

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<v Speaker 5>monetize it. You'd think, if history is to go by,

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<v Speaker 5>monetize it within an inch of its life, basically, and

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<v Speaker 5>yet that might be the death knel for it. So

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<v Speaker 5>the degree to which it will be open with these

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<v Speaker 5>other with the rest of the fediverse, that feels like

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<v Speaker 5>a very interesting experiment. Whether Metro is going to be

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<v Speaker 5>corporately comfortable with that, I think that's a big test.

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<v Speaker 3>What was it that Jack Dorsey said, Caro, we wanted

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<v Speaker 3>flying cars and instead we got seven Twitter clones debate

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<v Speaker 3>for another program, I think Dave Lee Bloomberg Opinion check

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<v Speaker 3>out his latest opinion column on bloombog dot com. Thank

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<v Speaker 3>you very much, all right, the show continues coming up.

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<v Speaker 3>Today's June jobs report showed relatively strong gains in the

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<v Speaker 3>labor market We're going to talk to Kara Brennan, Chief

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<v Speaker 3>People OFFICO officer over at Lattice about the trends that

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<v Speaker 3>she's seeing in the technology sector. This is Bloomberg Technology.

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<v Speaker 2>Looks some pretty mixed macro signals today from the US

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<v Speaker 2>labor market.

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<v Speaker 4>Let's go through them.

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<v Speaker 2>Because jobs growth melling out a little bit, they're still

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<v Speaker 2>increasing at a faster than expected pace. In the last month.

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<v Speaker 2>US added two hundred and nine thousand non farm jobs

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<v Speaker 2>in June, making it the smallest advance it's the end

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<v Speaker 2>of twenty twenty, but those wage gains still show the

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<v Speaker 2>inflationary pressure of this pretty resilient labor market, and of

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<v Speaker 2>course unemployment rate coming in at three point six percent.

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<v Speaker 2>We're lucky enough to be able to discuss all of this.

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<v Speaker 2>The Cara Brennan, San Francisco based Chief People officer over

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<v Speaker 2>atlettis great towsent time with your Caaren. What did you make?

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<v Speaker 2>Are you glass half empty? Glass off full? We somewhere

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<v Speaker 2>in the middle.

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<v Speaker 6>I'd say I'm probably somewhere in the middle. What I

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<v Speaker 6>can say is that among our five thousand customers who

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<v Speaker 6>are chief people officers, heads of people, there's a lot

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<v Speaker 6>of discussion about what the second half of this year

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<v Speaker 6>looks like in preparation for next year. I do think

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<v Speaker 6>that the medium term, people are optimistic from sitting in

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<v Speaker 6>my seat, because we're seeing really great talent in the market,

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<v Speaker 6>and we're seeing some softening in some of our businesses

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<v Speaker 6>as it relates to software sales and others. Is softening

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<v Speaker 6>of the of the really tough times that we've been

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<v Speaker 6>through over the past six to twelve months. So we're

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<v Speaker 6>seeing those glimmers, but I can tell you that right

0:11:16.040 --> 0:11:19.199
<v Speaker 6>now we're still in a place where we're all very conservative.

0:11:20.160 --> 0:11:25.199
<v Speaker 6>Headcount is really being thoughtful in terms of who we're

0:11:25.200 --> 0:11:27.560
<v Speaker 6>going to hire, where we're going to hire, and we're

0:11:27.640 --> 0:11:31.720
<v Speaker 6>keeping a very close eye on the compensation data because

0:11:31.720 --> 0:11:35.160
<v Speaker 6>what we're seeing is reflecting what these broader trends are

0:11:35.200 --> 0:11:36.760
<v Speaker 6>as well well.

0:11:36.800 --> 0:11:41.160
<v Speaker 3>In the technology sector. What do wages look like? How

0:11:41.160 --> 0:11:46.040
<v Speaker 3>competitive is it from it but using compensation as a proxy.

0:11:46.679 --> 0:11:51.080
<v Speaker 6>Yeah, what's interesting is our data legs behind the real market.

0:11:51.160 --> 0:11:54.160
<v Speaker 6>We know it does by about six months. So we're

0:11:54.200 --> 0:11:57.040
<v Speaker 6>still seeing data that was from the end of last

0:11:57.120 --> 0:12:00.200
<v Speaker 6>year that's still very high. And the hope is is

0:12:00.200 --> 0:12:04.000
<v Speaker 6>that we will see some of those rates come down

0:12:04.559 --> 0:12:08.160
<v Speaker 6>ultimately so that we can have better balance in terms

0:12:08.200 --> 0:12:11.280
<v Speaker 6>of our salary spin, which, as everyone knows, is around

0:12:11.679 --> 0:12:16.760
<v Speaker 6>a seventy percent of our total spin as businesses. We

0:12:16.800 --> 0:12:19.000
<v Speaker 6>are starting to see that. We're starting to see that

0:12:19.160 --> 0:12:24.240
<v Speaker 6>in some of those really spiky roles are top engineering roles,

0:12:25.200 --> 0:12:28.400
<v Speaker 6>some of our roles on the sales side. We're seeing

0:12:28.440 --> 0:12:31.640
<v Speaker 6>some of that come down, But it's not across the board.

0:12:32.480 --> 0:12:36.719
<v Speaker 2>I mean, AI, I can imagine prompt engineers, you name

0:12:36.760 --> 0:12:39.440
<v Speaker 2>it are going to be still pretty demanded for and

0:12:39.600 --> 0:12:43.560
<v Speaker 2>recompensed in light of that car up. Do you feel though,

0:12:43.600 --> 0:12:46.400
<v Speaker 2>the bracing that we had in the tech sector of

0:12:46.520 --> 0:12:50.640
<v Speaker 2>yet more job losses, yet larger ten twenty percent cuts,

0:12:50.800 --> 0:12:52.920
<v Speaker 2>is that a thing of the past Now people right

0:12:53.000 --> 0:12:54.400
<v Speaker 2>size to a certain degree.

0:12:56.320 --> 0:12:56.880
<v Speaker 4>In general.

0:12:57.000 --> 0:13:01.680
<v Speaker 6>Yes, that's what I'm hearing from our customers, the folks

0:13:01.679 --> 0:13:04.640
<v Speaker 6>that are now focused on the people that they have

0:13:04.800 --> 0:13:07.880
<v Speaker 6>in seat, knowing that the growth is slowed for the

0:13:07.920 --> 0:13:10.240
<v Speaker 6>second half of this year. But I do feel like

0:13:10.280 --> 0:13:12.480
<v Speaker 6>people feel like their hands are on the wheel now

0:13:12.960 --> 0:13:15.520
<v Speaker 6>and they're able to look forward to the next six

0:13:15.600 --> 0:13:18.680
<v Speaker 6>months with the plan that's realistic. It's very different than

0:13:18.760 --> 0:13:21.400
<v Speaker 6>this time last year when nobody knew what was happening,

0:13:21.400 --> 0:13:23.040
<v Speaker 6>and we were all trying to manage to it.

0:13:23.720 --> 0:13:26.240
<v Speaker 2>Well, said Ed. I mean when we look at the

0:13:26.280 --> 0:13:28.760
<v Speaker 2>broader labor data and on FUM payrolls, it's very hard

0:13:28.760 --> 0:13:31.760
<v Speaker 2>to really discern what's happening at a tech level, and

0:13:31.800 --> 0:13:35.480
<v Speaker 2>indeed how broad the tech issues are the asyncratic to

0:13:35.640 --> 0:13:38.079
<v Speaker 2>that particular sector or speak more broadly to for the

0:13:38.120 --> 0:13:38.960
<v Speaker 2>overall environment.

0:13:40.240 --> 0:13:42.480
<v Speaker 3>Yeah, I mean, let me jump in here Carol real quick,

0:13:42.520 --> 0:13:44.880
<v Speaker 3>because I think Caroline's raised a really good point that

0:13:45.000 --> 0:13:49.560
<v Speaker 3>what I hear from founders, public company executives and everyone

0:13:49.640 --> 0:13:53.200
<v Speaker 3>in between doesn't match the data. Think about the challenger

0:13:53.280 --> 0:13:55.719
<v Speaker 3>Christmas in Gray. We put so much emphasis on that

0:13:56.120 --> 0:13:59.640
<v Speaker 3>and all the layoffs that were announced, but those were announced,

0:13:59.640 --> 0:14:03.040
<v Speaker 3>not necessarily enacted. And there are loads of companies I

0:14:03.080 --> 0:14:06.480
<v Speaker 3>know that are scrambling to find people they're desperate to hire.

0:14:06.960 --> 0:14:09.160
<v Speaker 3>Why is there some inconsistency there?

0:14:10.440 --> 0:14:13.400
<v Speaker 6>Think consistency is that we had a period of time,

0:14:13.559 --> 0:14:16.280
<v Speaker 6>the two years during the pandemic where we were just

0:14:16.640 --> 0:14:20.400
<v Speaker 6>hiring to hire, honestly, and what we've done is gone

0:14:20.440 --> 0:14:24.880
<v Speaker 6>back to what the foundation of good businesses and knowing

0:14:24.920 --> 0:14:27.640
<v Speaker 6>that we have to build for the future state, and

0:14:27.680 --> 0:14:30.040
<v Speaker 6>we have to have the right people in the right seats.

0:14:30.280 --> 0:14:33.480
<v Speaker 6>So what has happened on the HR side is there

0:14:33.600 --> 0:14:37.000
<v Speaker 6>been lots of meetups, lots of webinars, lots of discussion

0:14:37.040 --> 0:14:40.400
<v Speaker 6>about org design and how to make sure that you're

0:14:40.440 --> 0:14:43.720
<v Speaker 6>optimizing the performance and productivity of the people who are

0:14:43.720 --> 0:14:47.080
<v Speaker 6>in the seat. We know that because that's what Lattis does.

0:14:47.120 --> 0:14:49.840
<v Speaker 6>We're a talent management platform. We've seen the usage of

0:14:49.880 --> 0:14:53.880
<v Speaker 6>our tool increase month over month and year every year

0:14:54.000 --> 0:14:56.720
<v Speaker 6>from our customers. People want to do a better job

0:14:56.720 --> 0:14:59.120
<v Speaker 6>of managing the talent they have. It's not a hiring

0:14:59.160 --> 0:14:59.920
<v Speaker 6>spree anymore.

0:15:01.800 --> 0:15:02.000
<v Speaker 4>Carr.

0:15:02.160 --> 0:15:05.960
<v Speaker 3>You know this sector. You know Silicon Valley. Elon Musk

0:15:06.000 --> 0:15:10.960
<v Speaker 3>and his lawyer have threatened to sue Meta claiming abusive

0:15:11.040 --> 0:15:16.800
<v Speaker 3>trade secrets and through the employment of Twitter employees. Can

0:15:16.840 --> 0:15:18.880
<v Speaker 3>you enforce an NDA in Silicon Valley? What do you

0:15:18.960 --> 0:15:19.800
<v Speaker 3>make of that situation?

0:15:21.320 --> 0:15:26.400
<v Speaker 6>I can't speak to Elon and Meta's particular situation. What

0:15:26.440 --> 0:15:30.240
<v Speaker 6>I can tell you is, in my experience, we're very

0:15:30.280 --> 0:15:34.560
<v Speaker 6>clear in Silicon Valley that the state of California does

0:15:34.600 --> 0:15:37.920
<v Speaker 6>not allow non competes to be enforced. For the most part,

0:15:38.360 --> 0:15:43.880
<v Speaker 6>depends on the specific situation. And I've seen lots of

0:15:43.920 --> 0:15:47.440
<v Speaker 6>CEOs and lots of nasty letters in the course of

0:15:47.480 --> 0:15:50.680
<v Speaker 6>my career. And know that sitting in the seat that

0:15:51.040 --> 0:15:54.160
<v Speaker 6>you move on, you bring your talent in and you're

0:15:54.200 --> 0:15:56.880
<v Speaker 6>not as concerned about non competees as you might be

0:15:56.920 --> 0:15:57.640
<v Speaker 6>in other states.

0:15:58.680 --> 0:16:01.320
<v Speaker 3>Car Brennan, Chief people of Sir laddis always on the

0:16:01.360 --> 0:16:04.120
<v Speaker 3>heartbeat of the tech sector. What's going on in jobs?

0:16:04.120 --> 0:16:14.520
<v Speaker 3>Thank you so much for your time time for talking tech.

0:16:14.600 --> 0:16:18.280
<v Speaker 3>First up, Samsung reported a forty six billion dollar decline

0:16:18.360 --> 0:16:21.280
<v Speaker 3>in sales, it's worst in quarterly revenue since two thousand

0:16:21.280 --> 0:16:25.400
<v Speaker 3>and nine. The tech company's operating profit plus ninety six percent,

0:16:25.680 --> 0:16:28.520
<v Speaker 3>but still ahead of market expectations. Is the demand for

0:16:28.560 --> 0:16:32.680
<v Speaker 3>electronics and memory chips has slowed, and US audit officials

0:16:32.680 --> 0:16:35.560
<v Speaker 3>have started a new round of inspections for New York

0:16:35.640 --> 0:16:38.840
<v Speaker 3>listed Chinese companies. The inspection comes there's a trade walk

0:16:38.960 --> 0:16:42.960
<v Speaker 3>on technology from AI to chip manufacturing continues to mount.

0:16:43.040 --> 0:16:47.000
<v Speaker 3>Tensions between the world's two largest economies. Plus China imposed

0:16:47.000 --> 0:16:49.480
<v Speaker 3>more than one billion dollars in fines on tech giants

0:16:49.520 --> 0:16:52.840
<v Speaker 3>and and ten cents, signaling an end to a crackdown

0:16:53.000 --> 0:16:55.520
<v Speaker 3>on a sector that wiped out billions in market value

0:16:55.760 --> 0:16:58.520
<v Speaker 3>and derailed the world's biggest IPO.

0:16:58.240 --> 0:17:00.600
<v Speaker 2>Carol, And let's dig in on that because some policy

0:17:00.680 --> 0:17:02.800
<v Speaker 2>saving mag News is Isabelle Lee is with us to

0:17:02.880 --> 0:17:05.840
<v Speaker 2>just break down why the shares have popped quite so

0:17:06.000 --> 0:17:08.440
<v Speaker 2>much for the likes of Ali Baba for ten cent,

0:17:09.080 --> 0:17:11.359
<v Speaker 2>it's a hefty fine. But is it just relief that

0:17:11.440 --> 0:17:12.960
<v Speaker 2>this over it?

0:17:13.040 --> 0:17:16.160
<v Speaker 7>Definitely is? It sounds kind of counterintuitive, But then many

0:17:16.200 --> 0:17:18.920
<v Speaker 7>of the analysts are saying that, okay, maybe this will

0:17:18.920 --> 0:17:20.880
<v Speaker 7>put a lid to the multi year crack that we've

0:17:20.920 --> 0:17:22.760
<v Speaker 7>seen in the tech sector that costs some of the

0:17:22.760 --> 0:17:25.840
<v Speaker 7>Wall Street's biggest firms to call China uninvestable, and we've

0:17:25.840 --> 0:17:28.840
<v Speaker 7>seen some of the biggest companies shed billions of dollars.

0:17:28.840 --> 0:17:30.800
<v Speaker 7>But then now if that's going to be over and

0:17:30.840 --> 0:17:33.480
<v Speaker 7>they can move on, and there are some speculations that, oh,

0:17:33.520 --> 0:17:36.560
<v Speaker 7>maybe this can pave the way for another renewed attempt

0:17:36.600 --> 0:17:39.480
<v Speaker 7>for ant to have an IPO. Possibly, but more people

0:17:39.520 --> 0:17:42.600
<v Speaker 7>are just relieved. Even the NaSTA China Golden Dragon indexes

0:17:42.680 --> 0:17:43.560
<v Speaker 7>up around three percent.

0:17:44.560 --> 0:17:46.000
<v Speaker 4>What is moving on look like? Then?

0:17:46.119 --> 0:17:48.040
<v Speaker 3>You know, we talk about the breakup of Ali Baba

0:17:48.080 --> 0:17:50.040
<v Speaker 3>as an example, and what might be spun off.

0:17:50.920 --> 0:17:54.240
<v Speaker 7>Yes, exactly. So we know that China has been really

0:17:54.280 --> 0:17:56.400
<v Speaker 7>cracking down on the tech firms and this may look

0:17:56.480 --> 0:17:59.440
<v Speaker 7>like the end of it. Like Ali Baba CEO Jack

0:17:59.520 --> 0:18:04.520
<v Speaker 7>Ma came in March, there's a renewed appetite to kind

0:18:04.520 --> 0:18:07.040
<v Speaker 7>of reinvigorate the tech sector and that's how many people

0:18:07.040 --> 0:18:09.960
<v Speaker 7>are seeing. But this thing is an ANTIPO isn't looking

0:18:10.040 --> 0:18:13.440
<v Speaker 7>like it's going to happen anytime soon because their bottom

0:18:13.440 --> 0:18:16.760
<v Speaker 7>line is really not looking good. Their December earnings quarter

0:18:17.080 --> 0:18:19.480
<v Speaker 7>was down fifty six percent. And if you go technically,

0:18:20.040 --> 0:18:21.879
<v Speaker 7>if you want a list in China so called a

0:18:22.000 --> 0:18:24.520
<v Speaker 7>share market, you shouldn't have had a change in corporate

0:18:24.600 --> 0:18:26.960
<v Speaker 7>leadership in the past three years two years for the

0:18:27.080 --> 0:18:29.600
<v Speaker 7>Shanghai Star market and one year for Hong Kong. But

0:18:29.640 --> 0:18:31.800
<v Speaker 7>still at least hopes are there and that's probably what's

0:18:31.880 --> 0:18:32.960
<v Speaker 7>buoying the market.

0:18:33.320 --> 0:18:35.920
<v Speaker 2>Just take us back a little bit as well as

0:18:35.920 --> 0:18:39.640
<v Speaker 2>to what's shifted in China's mindsot why have we sort

0:18:39.640 --> 0:18:41.800
<v Speaker 2>of come to the end of the scrutiny we have.

0:18:41.920 --> 0:18:45.480
<v Speaker 7>At least people are saying it's because when China locked

0:18:45.480 --> 0:18:49.040
<v Speaker 7>down during the pandemic it really wasn't good for their economy,

0:18:49.119 --> 0:18:52.199
<v Speaker 7>and when they were going to reopen, even strategists here

0:18:52.200 --> 0:18:53.840
<v Speaker 7>in Wall Street thought that there would be a boom

0:18:53.840 --> 0:18:56.159
<v Speaker 7>and that global growth will write on that, but that

0:18:56.320 --> 0:18:58.640
<v Speaker 7>so called boom didn't quite happen. So I think they're

0:18:58.680 --> 0:19:01.879
<v Speaker 7>just really trying to revive their sector, and tech is

0:19:01.880 --> 0:19:04.159
<v Speaker 7>the biggest so why not try to do that? And

0:19:04.520 --> 0:19:06.359
<v Speaker 7>if it will be good for China, it'll also be

0:19:06.400 --> 0:19:08.920
<v Speaker 7>good for the world, like even for here in the US.

0:19:08.960 --> 0:19:11.280
<v Speaker 7>So it's really just that shift in mentality and who

0:19:11.280 --> 0:19:12.720
<v Speaker 7>wants to be called uninvestable?

0:19:12.720 --> 0:19:14.480
<v Speaker 4>I think, so that's one.

0:19:14.680 --> 0:19:25.280
<v Speaker 3>All right, Bloombergs Isabelle Lee. Welcome back to Bloomberg Technology.

0:19:25.440 --> 0:19:27.000
<v Speaker 3>Ed Ludlow here in San Francisco, and.

0:19:27.000 --> 0:19:28.639
<v Speaker 2>I'm Caroline heid in New York. Let's just check in

0:19:28.680 --> 0:19:30.680
<v Speaker 2>on the new favorite platform for everyone to be getting

0:19:30.680 --> 0:19:32.240
<v Speaker 2>to know each other a slightly different destination.

0:19:32.280 --> 0:19:33.160
<v Speaker 4>We're all talking about.

0:19:33.000 --> 0:19:38.160
<v Speaker 3>Threads flat on a Friday talking Threads up almost four

0:19:38.200 --> 0:19:42.160
<v Speaker 3>percent over five sessions, excluding July the fourth. Let's talk

0:19:42.200 --> 0:19:45.080
<v Speaker 3>more on Threads and bring in Stephen Wolf Perera, Three

0:19:45.080 --> 0:19:48.480
<v Speaker 3>Parts Studios, Chief business officer. You are a multi platform

0:19:48.560 --> 0:19:52.320
<v Speaker 3>entertainment company. I know you you're close to Threads and

0:19:52.359 --> 0:19:56.639
<v Speaker 3>how it came about. Did what you saw on launch

0:19:56.680 --> 0:19:59.520
<v Speaker 3>with Threads match what Meta told you it was going

0:19:59.600 --> 0:19:59.800
<v Speaker 3>to be?

0:20:01.560 --> 0:20:02.080
<v Speaker 4>Absolutely?

0:20:02.119 --> 0:20:07.080
<v Speaker 8>I mean it's just been I think, exceeding everyone's expectations

0:20:07.240 --> 0:20:10.879
<v Speaker 8>for it to launch and for literally the onboarding to

0:20:11.000 --> 0:20:13.359
<v Speaker 8>be less than four seconds. Cause if you have an

0:20:13.359 --> 0:20:16.760
<v Speaker 8>Instagram account, you effectively just poured over all that information

0:20:16.920 --> 0:20:19.200
<v Speaker 8>data and now you're able to kind of bring that over.

0:20:20.160 --> 0:20:24.040
<v Speaker 8>It's just been wildly successful, I think, beyond everyone's expectations.

0:20:24.240 --> 0:20:26.480
<v Speaker 8>I read a stat today that was over fifty million

0:20:26.480 --> 0:20:30.080
<v Speaker 8>subscribers already on the platform. So when you have three

0:20:30.080 --> 0:20:33.000
<v Speaker 8>billion users across all of metas you know apps, you

0:20:33.000 --> 0:20:35.720
<v Speaker 8>know being used every single day, uh, three billion people

0:20:35.880 --> 0:20:38.120
<v Speaker 8>being able to kind of solve that cold star problem

0:20:38.359 --> 0:20:40.719
<v Speaker 8>of getting audience, you know, finding how to bring your

0:20:40.760 --> 0:20:42.320
<v Speaker 8>followers over onto a new platform.

0:20:42.480 --> 0:20:43.480
<v Speaker 4>I think they've really done well.

0:20:44.080 --> 0:20:47.479
<v Speaker 2>H You are someone who helps tell stories. How are

0:20:47.560 --> 0:20:50.840
<v Speaker 2>brands telling stories on this new platform? How playful? How

0:20:51.160 --> 0:20:53.480
<v Speaker 2>how different are we seeing things evolve over that?

0:20:54.720 --> 0:20:56.080
<v Speaker 4>I I think that's a great point, Caroline.

0:20:56.119 --> 0:20:58.840
<v Speaker 8>I mean to see some of the brands really understand

0:20:58.840 --> 0:21:02.320
<v Speaker 8>that this is a different medium and it's not images, right,

0:21:02.320 --> 0:21:05.159
<v Speaker 8>it's not video, it's text, and so being very witty

0:21:05.240 --> 0:21:07.800
<v Speaker 8>understanding how do you have your brand voice come through?

0:21:08.040 --> 0:21:09.439
<v Speaker 8>I think that something got a lot of brands are

0:21:09.480 --> 0:21:10.600
<v Speaker 8>excited about because right.

0:21:10.520 --> 0:21:12.679
<v Speaker 4>Now it's fun. It is positive.

0:21:13.320 --> 0:21:15.520
<v Speaker 8>You don't have all the trolls and all the cesspool

0:21:15.560 --> 0:21:18.200
<v Speaker 8>of so many different other platforms. So the fact that

0:21:18.280 --> 0:21:21.280
<v Speaker 8>you have brands like American Eagle, Wendy's, you know, just

0:21:21.320 --> 0:21:23.000
<v Speaker 8>you know, follow some of their threads and you know,

0:21:23.080 --> 0:21:25.840
<v Speaker 8>it's it's funny. And I feel like that's kind of

0:21:25.880 --> 0:21:28.840
<v Speaker 8>this gone by era of the early days of social

0:21:28.880 --> 0:21:31.119
<v Speaker 8>where people were really excited to kind of open up

0:21:31.200 --> 0:21:33.520
<v Speaker 8>the app and see what people were saying, what brands

0:21:33.520 --> 0:21:35.600
<v Speaker 8>were saying, and of course what creators are going to

0:21:35.640 --> 0:21:37.200
<v Speaker 8>be saying, including celebrities.

0:21:38.320 --> 0:21:40.840
<v Speaker 3>Stephen, just an update for you and our Bloomberg Technology

0:21:40.920 --> 0:21:43.480
<v Speaker 3>audience when you were racing over to our La studio,

0:21:44.119 --> 0:21:48.520
<v Speaker 3>Mark Zuckerberg updated, it's seventy seven zero million now on

0:21:48.640 --> 0:21:51.200
<v Speaker 3>board onto threads. So there you go.

0:21:52.720 --> 0:21:53.320
<v Speaker 4>But it's interesting.

0:21:53.680 --> 0:21:56.480
<v Speaker 8>I think he said something actually in the thread talking

0:21:56.480 --> 0:21:59.239
<v Speaker 8>about he wasn't really thinking about monetization until they hit

0:21:59.320 --> 0:22:02.560
<v Speaker 8>a billions describers and so obviously this is one of

0:22:02.640 --> 0:22:07.080
<v Speaker 8>the fastest app launches in history. Certainly very exciting to

0:22:07.080 --> 0:22:10.200
<v Speaker 8>see this trajectory. But let's see that billion dollar or

0:22:10.320 --> 0:22:12.960
<v Speaker 8>that billion subscriber threshold and see what's going to happen

0:22:12.960 --> 0:22:13.560
<v Speaker 8>when they hit that.

0:22:13.560 --> 0:22:16.399
<v Speaker 2>Soon that billion, I think it was like on clear

0:22:16.480 --> 0:22:19.760
<v Speaker 2>path to a billion. What do you think about the

0:22:19.840 --> 0:22:23.440
<v Speaker 2>monetization options here and how they do that while also

0:22:23.520 --> 0:22:28.560
<v Speaker 2>pretending well eventually to be within the federverse to be decentralized.

0:22:28.760 --> 0:22:31.639
<v Speaker 2>Is it that the advertising remains in the app and

0:22:31.680 --> 0:22:34.040
<v Speaker 2>then if it's moving across to different use cases and

0:22:34.119 --> 0:22:37.320
<v Speaker 2>masterden you wouldn't be advertised against like what wore the

0:22:37.320 --> 0:22:38.680
<v Speaker 2>discussions like and can.

0:22:39.320 --> 0:22:41.639
<v Speaker 8>Yeah, So I just got back from ken Lyons the

0:22:42.000 --> 0:22:46.280
<v Speaker 8>International Festival of Advertising Creativity Alvin Bowles, who's met as

0:22:46.400 --> 0:22:50.520
<v Speaker 8>new Global VP of their Global Business group. Alvin is

0:22:50.560 --> 0:22:52.960
<v Speaker 8>now kind of overseeing what brands are going to be

0:22:53.040 --> 0:22:55.760
<v Speaker 8>doing on their platform across all the different apps you know,

0:22:55.800 --> 0:22:58.560
<v Speaker 8>from obviously Instagram, WhatsApp, Facebook Blue.

0:22:59.200 --> 0:23:00.680
<v Speaker 4>But the reality is this was.

0:23:00.640 --> 0:23:03.199
<v Speaker 8>Something that was really being you know, I think on

0:23:03.280 --> 0:23:06.159
<v Speaker 8>everyone's lips trying to understand how are we going to

0:23:06.200 --> 0:23:08.800
<v Speaker 8>really integrate how we're going to use this and certainly

0:23:08.840 --> 0:23:12.680
<v Speaker 8>when can we actually buy ads across you know, the threads,

0:23:12.720 --> 0:23:15.880
<v Speaker 8>you know, kind of engagement and users and targeting advertising.

0:23:16.080 --> 0:23:17.440
<v Speaker 8>I think all that is going to be in a

0:23:17.480 --> 0:23:20.040
<v Speaker 8>wait and see because again, I think they want to

0:23:20.080 --> 0:23:23.320
<v Speaker 8>really build the engagement, build the audience. And when you

0:23:23.359 --> 0:23:25.919
<v Speaker 8>think about celebrities, you know, certainly I work with al

0:23:25.960 --> 0:23:27.960
<v Speaker 8>Hindu the best. He's the biggest Latino actor.

0:23:27.720 --> 0:23:28.240
<v Speaker 4>In the world.

0:23:28.520 --> 0:23:31.000
<v Speaker 8>You know, he is a comedian, so you know, he's

0:23:31.040 --> 0:23:33.440
<v Speaker 8>excited about getting onto threads to kind of talk about

0:23:33.480 --> 0:23:36.040
<v Speaker 8>ways to engage his audience in you know, certainly lots

0:23:36.040 --> 0:23:38.880
<v Speaker 8>of different languages. So when you see brands really trying

0:23:38.880 --> 0:23:40.960
<v Speaker 8>to figure out when can we engage, I think there's

0:23:40.960 --> 0:23:42.040
<v Speaker 8>going to be a little bit of a weight and

0:23:42.160 --> 0:23:44.720
<v Speaker 8>see from metap because they really want to make sure

0:23:44.760 --> 0:23:47.040
<v Speaker 8>that it's a safe place that they want the positivity

0:23:47.040 --> 0:23:47.400
<v Speaker 8>and the fun.

0:23:49.440 --> 0:23:51.480
<v Speaker 3>So how do you now think about Twitter and what

0:23:51.680 --> 0:23:55.119
<v Speaker 3>was the talk about Twitter can lyon? You know, is

0:23:55.160 --> 0:23:58.280
<v Speaker 3>this to kind of eat Twitter's lunch scenario to your mind?

0:23:59.720 --> 0:24:02.040
<v Speaker 8>So well, it's at a little bit of an inflection point.

0:24:02.080 --> 0:24:04.200
<v Speaker 8>I know, lots of people like to dunk on Twitter.

0:24:04.280 --> 0:24:07.760
<v Speaker 8>And again, Linda's been there for you know, eleven seconds, right,

0:24:07.800 --> 0:24:10.440
<v Speaker 8>so certainly she is going to uh have her work

0:24:10.520 --> 0:24:12.399
<v Speaker 8>out out for her. But the reality is, you know,

0:24:12.440 --> 0:24:15.920
<v Speaker 8>Twitter wasn't uh represented at camlines the way they used

0:24:15.920 --> 0:24:17.080
<v Speaker 8>to be. Uh, you know, there used to be a

0:24:17.119 --> 0:24:19.840
<v Speaker 8>big Twitter beach that was no longer there. They didn't

0:24:19.960 --> 0:24:23.520
<v Speaker 8>uh have that space. But obviously they're focused on a

0:24:23.560 --> 0:24:26.280
<v Speaker 8>really big vision and a big plan around X, and

0:24:26.359 --> 0:24:28.919
<v Speaker 8>so I would say don't count them out. They obviously

0:24:29.000 --> 0:24:31.280
<v Speaker 8>are trying to do something different. They want to take

0:24:31.280 --> 0:24:33.840
<v Speaker 8>it into a different direction. Elon obviously is thinking about

0:24:34.040 --> 0:24:36.000
<v Speaker 8>taking this into that super app of X.

0:24:36.840 --> 0:24:39.400
<v Speaker 4>So I feel that Linda is really.

0:24:39.119 --> 0:24:41.879
<v Speaker 8>Smart and obviously she is an active dialogue with so

0:24:41.880 --> 0:24:44.720
<v Speaker 8>many different brands and advertisers. And when you see you

0:24:44.720 --> 0:24:46.919
<v Speaker 8>know kind of what folks are doing, whether it's you know,

0:24:47.000 --> 0:24:49.280
<v Speaker 8>Marsa Thalberg over at Sea World, or you're looking at

0:24:49.400 --> 0:24:51.680
<v Speaker 8>Deacon Morgan Chase and you know Carla Hassen, or you know,

0:24:51.720 --> 0:24:53.959
<v Speaker 8>all these different companies that are trying to figure out

0:24:54.160 --> 0:24:55.919
<v Speaker 8>where am I going to engage, how am I going

0:24:56.000 --> 0:24:57.560
<v Speaker 8>to find audience, and how do I really get my

0:24:57.600 --> 0:24:59.560
<v Speaker 8>message out there? I feel like these are the different

0:24:59.600 --> 0:25:01.679
<v Speaker 8>ways brands are going to be looking to engage.

0:25:02.200 --> 0:25:06.240
<v Speaker 3>You know, Linda Yakarino, you have history in that relationship,

0:25:06.240 --> 0:25:09.159
<v Speaker 3>but will you put money to play it in the

0:25:09.200 --> 0:25:12.080
<v Speaker 3>Twitter platform right now?

0:25:12.600 --> 0:25:14.760
<v Speaker 8>As you know three Pass you know, certainly we will

0:25:14.800 --> 0:25:18.080
<v Speaker 8>because we actually have some films launching this fall. We

0:25:18.160 --> 0:25:20.800
<v Speaker 8>actually have a film that one Sundance called Radical that's

0:25:20.840 --> 0:25:23.840
<v Speaker 8>going to be coming out in October. So absolutely, I mean,

0:25:23.840 --> 0:25:25.919
<v Speaker 8>we want to be where the audience is. And you know,

0:25:25.960 --> 0:25:27.879
<v Speaker 8>to this day, you know, Twitter is still have a

0:25:27.960 --> 0:25:31.760
<v Speaker 8>very active, engaged audience base. Obviously there's concerns around you know,

0:25:31.840 --> 0:25:34.080
<v Speaker 8>kind of privacy or you know, the rhetoric or whatever

0:25:34.119 --> 0:25:36.240
<v Speaker 8>it is, but there's still a very active audience. And

0:25:36.320 --> 0:25:38.800
<v Speaker 8>you know, when you see Olheno with you know, one

0:25:38.800 --> 0:25:40.879
<v Speaker 8>of the largest you know, kind of social footprints, he

0:25:40.920 --> 0:25:43.800
<v Speaker 8>has over eighty million flowers across all social Twitter is

0:25:43.800 --> 0:25:46.000
<v Speaker 8>obviously a platform that we're still involved with, but we're

0:25:46.000 --> 0:25:47.560
<v Speaker 8>still going to be looking for other platforms.

0:25:48.840 --> 0:25:51.680
<v Speaker 3>Stephen Wolf Perera Three PUS Studios, thank you for joining

0:25:51.760 --> 0:25:53.879
<v Speaker 3>us out there in La c S.

0:25:54.040 --> 0:25:54.600
<v Speaker 4>Thanks so much.

0:25:55.440 --> 0:25:58.640
<v Speaker 3>Right, another top story here on Bloomberg Technology, Apple's headset

0:25:58.720 --> 0:26:02.960
<v Speaker 3>will be available in retail stores early next year, but

0:26:03.040 --> 0:26:05.680
<v Speaker 3>the rollout it's going to be a little slope. Mark

0:26:05.720 --> 0:26:09.119
<v Speaker 3>German as the details. Next, this is Bloom Big Technology.

0:26:18.800 --> 0:26:19.000
<v Speaker 7>Time.

0:26:19.080 --> 0:26:21.560
<v Speaker 2>Now for VC round up by d you. Once India's

0:26:21.600 --> 0:26:25.080
<v Speaker 2>most valuable upstart is internal after missing a deadline on

0:26:25.119 --> 0:26:27.440
<v Speaker 2>financial statements giving payments on a one point two billion

0:26:27.480 --> 0:26:30.200
<v Speaker 2>dollar alone and now that crisis is setting alarm bells

0:26:30.240 --> 0:26:34.479
<v Speaker 2>throughout India's VC world, prompted Bloom Ventures, for example, one

0:26:34.480 --> 0:26:37.159
<v Speaker 2>of India's biggest venture capital firms, to cut back on

0:26:37.240 --> 0:26:40.800
<v Speaker 2>what they call frivolous investments and to push portfolio companies

0:26:40.840 --> 0:26:45.840
<v Speaker 2>to increasingly shift focus to profitability. Meanwhile, while when Old

0:26:45.920 --> 0:26:48.720
<v Speaker 2>is New again, Albert Einstein might have died in ninety

0:26:48.760 --> 0:26:51.840
<v Speaker 2>fifty five, but the physicist is still a prolific conversationalist.

0:26:52.359 --> 0:26:55.199
<v Speaker 2>As a chatbot of course, character Ai, one of the

0:26:55.280 --> 0:26:58.120
<v Speaker 2>strangers startups on the Heyhi scene, but valued at one

0:26:58.119 --> 0:27:02.000
<v Speaker 2>billion dollars Einstein. Einstein has responded to one point six

0:27:02.119 --> 0:27:07.520
<v Speaker 2>million messages apparently, from theories of relativity to pat recommendation Zed.

0:27:08.760 --> 0:27:11.000
<v Speaker 3>That is the best story we've done on the Bloombog

0:27:11.080 --> 0:27:16.080
<v Speaker 3>technology ever. That's a big sta wow Yeah, no, it's

0:27:16.080 --> 0:27:20.320
<v Speaker 3>a big sayman, but Einstein's back baby. Apple's headset is

0:27:20.359 --> 0:27:23.359
<v Speaker 3>coming soon ish to store near you.

0:27:23.480 --> 0:27:24.520
<v Speaker 4>Bit of a hard pivot there.

0:27:24.560 --> 0:27:27.560
<v Speaker 3>The tech giant planning a retail launch of its Vision

0:27:27.560 --> 0:27:31.280
<v Speaker 3>Pro headset, but only in select US markets early next

0:27:31.359 --> 0:27:36.520
<v Speaker 3>year before expanding further. Bloomberg's Mark Gunman broke those details overnight. Mark,

0:27:36.600 --> 0:27:40.080
<v Speaker 3>there is a very clear strategy here according to your reporting.

0:27:41.160 --> 0:27:43.679
<v Speaker 9>Yeah, I wonder what Albert Einstein would think about virtual

0:27:43.720 --> 0:27:47.520
<v Speaker 9>reality and the Vision Pro. But in terms of this story,

0:27:47.560 --> 0:27:49.320
<v Speaker 9>so what we're hearing is that there's going to be

0:27:49.359 --> 0:27:51.520
<v Speaker 9>a bit of a slow goo ramp up to the

0:27:51.560 --> 0:27:54.320
<v Speaker 9>Apple Vision Pro launch. This is a thirty five hundred

0:27:54.320 --> 0:27:59.399
<v Speaker 9>dollars device. It requires an immense amount of customization, the logistics,

0:27:59.520 --> 0:28:01.160
<v Speaker 9>the way they're going to launch this thing a both

0:28:01.240 --> 0:28:04.119
<v Speaker 9>online and in stores. It's a very cumbersome process. So

0:28:04.160 --> 0:28:07.000
<v Speaker 9>here's how it's going to work. Early next year, so

0:28:07.040 --> 0:28:09.200
<v Speaker 9>early twenty twenty four in the US, you'll be able

0:28:09.200 --> 0:28:11.840
<v Speaker 9>to order the device either online or in an Apple

0:28:11.880 --> 0:28:14.679
<v Speaker 9>retail store. If you're buying it in a retail store,

0:28:14.800 --> 0:28:17.480
<v Speaker 9>if you're in one of those major markets La New York,

0:28:17.600 --> 0:28:22.320
<v Speaker 9>San Francisco, Texas. In those retail stores, those bigger stores,

0:28:22.359 --> 0:28:26.400
<v Speaker 9>you'll have a new virtual reality Vision Pro experience area

0:28:26.480 --> 0:28:29.639
<v Speaker 9>where you can buy the device, experience the device, have

0:28:29.760 --> 0:28:32.720
<v Speaker 9>it set up, and customize, get training on it. Right

0:28:32.800 --> 0:28:34.520
<v Speaker 9>If you're in a smaller market store, you'd be able

0:28:34.560 --> 0:28:36.119
<v Speaker 9>to go in there and buy it, maybe in a

0:28:36.160 --> 0:28:39.200
<v Speaker 9>small corner at a table somewhere, But over time it'll

0:28:39.280 --> 0:28:41.880
<v Speaker 9>ramp up that new experience center. But the important thing

0:28:41.880 --> 0:28:43.560
<v Speaker 9>to note is you'll be able to buy the vision

0:28:43.600 --> 0:28:46.960
<v Speaker 9>Pro in any US retail store from.

0:28:46.760 --> 0:28:47.200
<v Speaker 1>The get go.

0:28:47.720 --> 0:28:50.920
<v Speaker 9>Where things get complicated is if you have a vision prescription,

0:28:51.360 --> 0:28:55.120
<v Speaker 9>so you'll have to upload your vision prescription to a website,

0:28:55.160 --> 0:28:58.040
<v Speaker 9>either through Apple or through Zice because Apple doesn't want

0:28:58.080 --> 0:29:01.880
<v Speaker 9>you handing that medical information directly to an Apple retail employee.

0:29:01.960 --> 0:29:05.280
<v Speaker 9>You'll do that at the time of purchase, either online

0:29:05.720 --> 0:29:08.320
<v Speaker 9>or Another important factor is it's going to be sold

0:29:08.360 --> 0:29:11.000
<v Speaker 9>by appointment only in stores, so when you make that appointment,

0:29:11.200 --> 0:29:12.480
<v Speaker 9>they'll upload that information.

0:29:13.320 --> 0:29:17.000
<v Speaker 2>Mark the slow rollout. How much of that is about

0:29:17.160 --> 0:29:21.080
<v Speaker 2>market education, about trying to navigate demand, and how much

0:29:21.160 --> 0:29:23.200
<v Speaker 2>is it the supply side that also holds it up.

0:29:24.040 --> 0:29:27.600
<v Speaker 9>I think it's a combination of all three, but definitely

0:29:27.680 --> 0:29:31.800
<v Speaker 9>I would lean mostly towards supply. Right they don't have

0:29:31.920 --> 0:29:34.320
<v Speaker 9>enough supply to do a global launch at this point.

0:29:34.480 --> 0:29:36.600
<v Speaker 9>They think they'll have enough supply by the tail end

0:29:36.640 --> 0:29:40.000
<v Speaker 9>of twenty twenty four or into twenty twenty five, and

0:29:40.080 --> 0:29:41.880
<v Speaker 9>so what they're going to do is they're going to

0:29:41.960 --> 0:29:45.320
<v Speaker 9>launch in Asia in early twenty twenty five. At the

0:29:45.400 --> 0:29:49.040
<v Speaker 9>end of twenty twenty four, they'll be launching in Canada.

0:29:48.480 --> 0:29:49.200
<v Speaker 4>And the UK.

0:29:49.960 --> 0:29:54.000
<v Speaker 9>Over time, they're going to expand to France and Germany. Basically,

0:29:54.040 --> 0:29:56.880
<v Speaker 9>they're going to probably get to about ten major regions

0:29:57.160 --> 0:29:59.920
<v Speaker 9>by the end of twenty twenty five. In twenty two

0:30:00.480 --> 0:30:03.080
<v Speaker 9>they're also looking at expanding to resellers as well.

0:30:04.080 --> 0:30:07.080
<v Speaker 2>Fascinating the way in which these things, the logistics of

0:30:07.120 --> 0:30:09.040
<v Speaker 2>getting this into our hands. Mark German, with all the

0:30:09.040 --> 0:30:11.800
<v Speaker 2>news as we know, we thank you so much. Meanwhile,

0:30:11.960 --> 0:30:14.520
<v Speaker 2>well let's talk about what's going viral right now. The

0:30:14.560 --> 0:30:17.440
<v Speaker 2>Barbie movie. It has sixty four years, the Barbie doll

0:30:17.520 --> 0:30:21.040
<v Speaker 2>has been both an icon and an embarrassment. Now with

0:30:21.240 --> 0:30:24.720
<v Speaker 2>Greta Gerwig's new film, Mattel, the company that builds them,

0:30:24.760 --> 0:30:26.960
<v Speaker 2>is now trying to prove that Barbie isn't hopelessly out

0:30:26.960 --> 0:30:27.320
<v Speaker 2>of date?

0:30:27.920 --> 0:30:28.320
<v Speaker 4>Did that?

0:30:28.360 --> 0:30:30.360
<v Speaker 2>Betpan out? We're going to see. Let's bringing billiam ogs

0:30:30.400 --> 0:30:32.520
<v Speaker 2>Thomas Buckling for more on that, because there's been a

0:30:32.520 --> 0:30:35.440
<v Speaker 2>beautiful big take written by billiam Bag today all about

0:30:35.800 --> 0:30:38.520
<v Speaker 2>how the birth of this occurred, and really all goes

0:30:38.560 --> 0:30:41.280
<v Speaker 2>back to Mattel realizing that they're an IP company as

0:30:41.320 --> 0:30:43.800
<v Speaker 2>much as they're a toy company.

0:30:44.120 --> 0:30:46.400
<v Speaker 10>Absolutely, that's soritally right. And you know, before I launch

0:30:46.400 --> 0:30:47.520
<v Speaker 10>into BET, I had to say that I was just

0:30:47.560 --> 0:30:49.560
<v Speaker 10>watching Mark Gooman and Second Mons temper each others of

0:30:49.600 --> 0:30:54.480
<v Speaker 10>his Pete Walls madst the interview from there, So it's

0:30:54.520 --> 0:30:57.280
<v Speaker 10>incredibly interesting. I mean Ian Craze, the CEO of Mattel,

0:30:57.320 --> 0:30:59.440
<v Speaker 10>who came in to run the company in twenty eighteen,

0:31:00.200 --> 0:31:03.040
<v Speaker 10>background has been in entertainment for really most of his career,

0:31:03.520 --> 0:31:05.320
<v Speaker 10>so I think that when he took hold of Mattel,

0:31:05.400 --> 0:31:08.680
<v Speaker 10>he realized, Look, we've got these phenomenal brands, including Barbie,

0:31:08.760 --> 0:31:12.760
<v Speaker 10>Hot Wheels, Barney and more that would be perfectly suited

0:31:12.800 --> 0:31:15.320
<v Speaker 10>to the screen. And what's interesting is that Barbie has

0:31:15.360 --> 0:31:17.840
<v Speaker 10>had its rations on screen, whether it's video games or

0:31:17.840 --> 0:31:20.240
<v Speaker 10>whether it's straight to TV films, but it's the first

0:31:20.240 --> 0:31:24.200
<v Speaker 10>time ever that's had a comprehensive theatrical release helmed by

0:31:24.200 --> 0:31:26.880
<v Speaker 10>Greta Girl because you know, and produced by Warner Brothers.

0:31:26.920 --> 0:31:28.400
<v Speaker 10>That a cost one hundred million dollars.

0:31:30.160 --> 0:31:33.680
<v Speaker 3>Thomas producer John Harland makes a really good point, which

0:31:33.720 --> 0:31:38.000
<v Speaker 3>is that the hype around this has been astonishing. It's

0:31:38.120 --> 0:31:42.040
<v Speaker 3>been everywhere social media, on all the streaming platforms. I

0:31:42.080 --> 0:31:45.240
<v Speaker 3>see ads for it. But the origins of this product,

0:31:45.280 --> 0:31:48.640
<v Speaker 3>the history of Barbie. Some people say, actually, this is

0:31:48.640 --> 0:31:50.960
<v Speaker 3>a pretty big risk for the company. Explain that to me.

0:31:52.400 --> 0:31:53.120
<v Speaker 4>That's actually right.

0:31:53.160 --> 0:31:55.080
<v Speaker 10>So I think mention it when Barbie launched in nineteen

0:31:55.080 --> 0:31:57.959
<v Speaker 10>fifty nine, and she was immensely popular for several decades.

0:31:58.000 --> 0:31:58.640
<v Speaker 4>I mean, she was.

0:31:58.560 --> 0:32:02.440
<v Speaker 10>Modeled on the German build Lily, and you know, in

0:32:02.480 --> 0:32:05.480
<v Speaker 10>a country that had recently embraced the eranism. So I

0:32:05.480 --> 0:32:08.120
<v Speaker 10>think that, you know, the marketing of the doll at

0:32:08.120 --> 0:32:12.360
<v Speaker 10>its early stages, blue eyed blonde Head appealed to you know,

0:32:12.400 --> 0:32:16.120
<v Speaker 10>a set number of people, but wasn't necessarily that wide ranging. Now,

0:32:16.280 --> 0:32:19.160
<v Speaker 10>Barbie's brand actually suffered because it was being perceived as

0:32:19.240 --> 0:32:22.400
<v Speaker 10>very elitist in the past couple of decades and I

0:32:22.400 --> 0:32:23.840
<v Speaker 10>think that what this film is going to try to

0:32:23.880 --> 0:32:27.040
<v Speaker 10>do is really undo a lot of those preconceived notions

0:32:27.320 --> 0:32:30.480
<v Speaker 10>that Barbie is only suitable to a set demographic by

0:32:30.480 --> 0:32:33.120
<v Speaker 10>making her more accessible. And that really follows the trend

0:32:33.160 --> 0:32:36.440
<v Speaker 10>of actually making the doll itself more accessible. A number

0:32:36.480 --> 0:32:39.800
<v Speaker 10>of Barbies have been produced, you know, in current times

0:32:39.840 --> 0:32:43.560
<v Speaker 10>that have, for example, alopecia or down syndrome or different

0:32:43.600 --> 0:32:46.200
<v Speaker 10>skin tones in a bit to actually build the brand

0:32:46.240 --> 0:32:48.080
<v Speaker 10>into something a lot more accessible than it has been

0:32:48.120 --> 0:32:48.560
<v Speaker 10>in the past.

0:32:48.840 --> 0:32:52.720
<v Speaker 2>I mean, I go back to that amazing outfit by

0:32:52.840 --> 0:32:56.320
<v Speaker 2>jay Z and Beyonce when they came as Barbie dolls,

0:32:56.360 --> 0:32:58.760
<v Speaker 2>really to highlight the point it was a Halloween costume

0:32:59.400 --> 0:33:02.080
<v Speaker 2>to that end. If this does do well and there

0:33:02.080 --> 0:33:05.120
<v Speaker 2>are limitations, we understand, you know, they've rouffle feathers to

0:33:05.160 --> 0:33:08.840
<v Speaker 2>put it mildly in Vietnam, But what do they manage

0:33:08.880 --> 0:33:10.560
<v Speaker 2>to make this a sequel if it goes well, if

0:33:10.560 --> 0:33:12.840
<v Speaker 2>they managed to overcome those issues of Nam.

0:33:13.680 --> 0:33:16.440
<v Speaker 10>There are some ongoing considerations. I believe, according to a

0:33:16.480 --> 0:33:20.720
<v Speaker 10>familiar that a sequel is perhaps being put into development.

0:33:21.040 --> 0:33:22.920
<v Speaker 10>It all depends on how well the film does. I mean,

0:33:22.960 --> 0:33:25.320
<v Speaker 10>as ed rightly pointed out that the hype for this

0:33:25.880 --> 0:33:29.800
<v Speaker 10>is really unmatched in recent times in Hollywood. I think that,

0:33:29.880 --> 0:33:31.280
<v Speaker 10>you know, the only film that I can think of

0:33:31.320 --> 0:33:34.880
<v Speaker 10>that's had as much hypersthisis maybe the Avatar sequel. Certainly,

0:33:34.920 --> 0:33:37.840
<v Speaker 10>nothing this year has even come close. And we're observing

0:33:37.880 --> 0:33:39.680
<v Speaker 10>the tracking for this film that is to say, how

0:33:39.680 --> 0:33:42.600
<v Speaker 10>it's going to perform on this opening weekend, and the

0:33:42.680 --> 0:33:45.480
<v Speaker 10>tracking jumped domestically by fifty four percent just in the

0:33:45.560 --> 0:33:48.040
<v Speaker 10>last week alone. Set to open at about one hundred

0:33:48.040 --> 0:33:50.760
<v Speaker 10>and ten million dollars. Now, if the film can grows

0:33:50.800 --> 0:33:52.440
<v Speaker 10>you know, something like half a billion, which is a

0:33:52.520 --> 0:33:55.080
<v Speaker 10>fall ask but not impossible given some of the hype

0:33:55.120 --> 0:33:58.360
<v Speaker 10>around it, then I'm fairly certain that a sequel would

0:33:58.360 --> 0:33:59.200
<v Speaker 10>be put into production.

0:34:00.760 --> 0:34:03.800
<v Speaker 3>A right Bloomberg Thommas Buckley with the Barbie latest Thank You,

0:34:12.719 --> 0:34:16.080
<v Speaker 3>Time for Another Story and You. Study from Watchfinder showed

0:34:16.120 --> 0:34:18.920
<v Speaker 3>that as many as ten percent of the watches received

0:34:18.920 --> 0:34:22.799
<v Speaker 3>from sellers last year were determined to be fakes during

0:34:22.800 --> 0:34:27.000
<v Speaker 3>an authentication process, and half of those fakes were Rolexes.

0:34:27.040 --> 0:34:29.319
<v Speaker 3>And the problem is set to become worse for the

0:34:29.320 --> 0:34:33.040
<v Speaker 3>twenty seven billion dollars secondary market as fakes become more

0:34:33.040 --> 0:34:35.840
<v Speaker 3>sophisticated and hard at a spot. The question out for you,

0:34:35.960 --> 0:34:39.080
<v Speaker 3>Caroline is how does technology fix that?

0:34:39.400 --> 0:34:41.600
<v Speaker 2>And there's a will, there's a way ed, and let's

0:34:41.600 --> 0:34:43.879
<v Speaker 2>bring in someone who knows the luxury space specifically using

0:34:43.880 --> 0:34:47.760
<v Speaker 2>technology to verify goods. Entropy authentication uses like a combination

0:34:47.800 --> 0:34:51.839
<v Speaker 2>of artificial intelligence, of course it does, and microscopy. Microscopy,

0:34:51.840 --> 0:34:54.680
<v Speaker 2>of course, the objectively kind of says is the authenticity

0:34:54.680 --> 0:34:57.279
<v Speaker 2>of an item. I'm pleased to say the founders with us,

0:34:57.440 --> 0:35:03.400
<v Speaker 2>the CEO of Entropy, it's video tun Okay, how does AI?

0:35:03.760 --> 0:35:07.560
<v Speaker 2>How does micross compy help in the scenarios? What exactly

0:35:07.560 --> 0:35:08.759
<v Speaker 2>are you doing and able to tell us?

0:35:09.040 --> 0:35:12.879
<v Speaker 11>Sure? Firstly, thanks for having me. And what we do

0:35:13.120 --> 0:35:17.440
<v Speaker 11>is we use visual we use images. We run images

0:35:17.840 --> 0:35:21.320
<v Speaker 11>through AI models and help them understand the minute differences.

0:35:21.400 --> 0:35:23.719
<v Speaker 11>So my new share per se and this could be

0:35:23.920 --> 0:35:29.120
<v Speaker 11>at such a deep resolution that it's almost impossible, not impossible,

0:35:29.120 --> 0:35:34.120
<v Speaker 11>but almost impossible for counterfeiters to actually beat that. And

0:35:34.800 --> 0:35:37.600
<v Speaker 11>we train computers at scale to understand these differences. And

0:35:37.640 --> 0:35:41.640
<v Speaker 11>then when our customers, anybody needs on demand authentication, Someone

0:35:41.719 --> 0:35:43.200
<v Speaker 11>has an item in front of them and they need

0:35:43.239 --> 0:35:47.279
<v Speaker 11>to know if it's real or not. We are providing

0:35:47.320 --> 0:35:50.279
<v Speaker 11>them the ability to take images of the item, ship

0:35:50.320 --> 0:35:52.520
<v Speaker 11>it out of the cloud. AI says yes or no.

0:35:52.680 --> 0:35:54.920
<v Speaker 11>If it's a yes, then we give them a certificate

0:35:54.920 --> 0:35:56.080
<v Speaker 11>and a financial guarantee.

0:35:56.080 --> 0:36:00.000
<v Speaker 4>So it's almost like insurance videos.

0:36:00.080 --> 0:36:03.600
<v Speaker 3>Where's the technology come from? Have you developed this yourself

0:36:04.160 --> 0:36:07.640
<v Speaker 3>or you're bringing in the software component from a third party?

0:36:08.760 --> 0:36:14.240
<v Speaker 11>No, everything is built in house, including the microscopy even

0:36:14.360 --> 0:36:17.880
<v Speaker 11>any other camera information that we get is all processed

0:36:17.920 --> 0:36:20.920
<v Speaker 11>in house. The data we collect and we train computers

0:36:21.560 --> 0:36:24.319
<v Speaker 11>on is also completely in house, which makes it kind

0:36:24.320 --> 0:36:29.680
<v Speaker 11>of unique and also valuable. And yeah, I mean when

0:36:29.719 --> 0:36:31.719
<v Speaker 11>we started this there was no one else doing it.

0:36:31.719 --> 0:36:33.839
<v Speaker 4>It was also a weird thing to do. Think about it.

0:36:35.120 --> 0:36:38.080
<v Speaker 11>You're a Bloomingdale's, would you expect someone to walk around

0:36:38.120 --> 0:36:40.719
<v Speaker 11>with a device like that? But it turns out there's

0:36:40.719 --> 0:36:43.080
<v Speaker 11>a lot of value because about ten to twelve percent

0:36:43.120 --> 0:36:45.440
<v Speaker 11>of all the items that we authenticate our counterfeit.

0:36:45.480 --> 0:36:46.960
<v Speaker 4>And this is only with businesses.

0:36:47.239 --> 0:36:50.640
<v Speaker 2>Wow, what's interesting. I'm looking at a handbag and can

0:36:50.760 --> 0:36:53.680
<v Speaker 2>really understand how your technology would work for that. Are

0:36:53.719 --> 0:36:56.120
<v Speaker 2>there items we were just talking about watches that sort

0:36:56.120 --> 0:36:58.040
<v Speaker 2>of impossible because you've got to basically take the thing

0:36:58.080 --> 0:37:00.400
<v Speaker 2>apart to be able to take the photos. Where are

0:37:00.400 --> 0:37:02.520
<v Speaker 2>the limitations? Where is the scalability for you?

0:37:02.840 --> 0:37:07.160
<v Speaker 11>Sure so scalability where scalability is available in almost any

0:37:07.239 --> 0:37:10.600
<v Speaker 11>category where there are kind of fits. Because the beauty

0:37:10.640 --> 0:37:15.160
<v Speaker 11>of AI is this flywheel of learning and improving constantly. Typically,

0:37:15.239 --> 0:37:18.879
<v Speaker 11>when you do that long enough and at large scales enough,

0:37:19.480 --> 0:37:23.080
<v Speaker 11>you are disincentivizing counterfeiters from constantly going off of that

0:37:23.120 --> 0:37:26.080
<v Speaker 11>space making better quality fakes because at some point that

0:37:26.360 --> 0:37:29.280
<v Speaker 11>their margin is at a ceiling, right, so you're always

0:37:29.320 --> 0:37:31.719
<v Speaker 11>half a step ahead. So that's where the scalability and

0:37:31.760 --> 0:37:35.040
<v Speaker 11>the AI piece is useful. Limitations wise, I think you

0:37:35.160 --> 0:37:37.120
<v Speaker 11>raise a very good point. When it comes to certain

0:37:37.160 --> 0:37:39.400
<v Speaker 11>types of goods, there's form and there's function.

0:37:40.040 --> 0:37:40.200
<v Speaker 4>Right.

0:37:40.520 --> 0:37:42.680
<v Speaker 11>Forum is say a handbag or a shoe, or a

0:37:42.719 --> 0:37:46.000
<v Speaker 11>piece of a paddle or an necessity. Function would mean

0:37:46.120 --> 0:37:47.000
<v Speaker 11>does it work well?

0:37:47.080 --> 0:37:49.120
<v Speaker 4>Right? So for a whilech you need to do both.

0:37:49.239 --> 0:37:53.040
<v Speaker 11>AI is excellent at form, might not be the most

0:37:53.040 --> 0:37:55.640
<v Speaker 11>ideal solution at function, but there are other ways. So

0:37:55.680 --> 0:37:57.799
<v Speaker 11>the question is how can you put both together in

0:37:57.840 --> 0:37:58.680
<v Speaker 11>a seamless way.

0:37:58.880 --> 0:37:59.880
<v Speaker 4>That's what we're working on.

0:38:00.480 --> 0:38:02.680
<v Speaker 2>Come back when you nailed the watch market as well.

0:38:02.760 --> 0:38:04.319
<v Speaker 2>Really great to have some time with you. Thank you

0:38:04.640 --> 0:38:07.800
<v Speaker 2>for any of us on their Entropy founder and CEO.

0:38:08.120 --> 0:38:11.080
<v Speaker 2>We thank him while we all suddenly consider our goods

0:38:11.080 --> 0:38:13.200
<v Speaker 2>and whether they're real or not. And I mean that

0:38:13.239 --> 0:38:15.279
<v Speaker 2>does it for this edition of Bloomberg Technology. It's been

0:38:15.280 --> 0:38:17.320
<v Speaker 2>a very quick, short week, but a fun one.

0:38:17.600 --> 0:38:20.719
<v Speaker 3>Yeah, a short week dominated by threads, but there's a

0:38:20.760 --> 0:38:24.080
<v Speaker 3>lot more to recap. It's interesting how real focus on

0:38:24.120 --> 0:38:26.399
<v Speaker 3>social media, so much going on in China. A lot

0:38:26.400 --> 0:38:29.520
<v Speaker 3>with the hardware side, with Apple and Mark German's reporting,

0:38:29.520 --> 0:38:31.040
<v Speaker 3>so you can recap it. Don't forget.

0:38:31.239 --> 0:38:32.240
<v Speaker 4>We have our podcast.

0:38:32.280 --> 0:38:34.319
<v Speaker 3>You can find it on the Bloomberg terminal as well

0:38:34.320 --> 0:38:39.080
<v Speaker 3>as online on Apple, Spotify, and iHeart, wherever you choose

0:38:39.280 --> 0:38:42.279
<v Speaker 3>to get your podcasts. A short week, a big week

0:38:42.320 --> 0:38:44.399
<v Speaker 3>in the world of technology, coming up from New York

0:38:44.440 --> 0:38:48.040
<v Speaker 3>and San Francisco. This is Bloomberg Technology.