WEBVTT - Elon Musk Chooses New CEO

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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 Vallet NBN. This is Bloomberg Technology with Caroline Hyde

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<v Speaker 1>and Ed lud Love.

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<v Speaker 2>I'm Caroline Hyde at Bloomberg's Weld headquarters in New York

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<v Speaker 2>and Ourmed Ludlow in San Francisco.

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<v Speaker 3>This is Bloomberg Technology.

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<v Speaker 2>Coming up and changing of the guard. Over at Twitter,

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<v Speaker 2>Elon Musk announces he's stepping aside as CEO. We'll bring

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<v Speaker 2>in the details on the successor Claus.

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<v Speaker 4>We'll talk artificial intelligence and how companies are implementing guardrails

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<v Speaker 4>to deliver and embed AI responsibly.

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<v Speaker 2>And soft Bank has begun testing investor appetite for the

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<v Speaker 2>IPO of ARM, seeking as much as ten billion dollars.

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<v Speaker 2>Will bring you that and so much more this hour

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<v Speaker 2>as we look at what market sentiment is like to

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<v Speaker 2>round out this week, pretty dire, really collapsing on the

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<v Speaker 2>ten am mark here in the United States, as we

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<v Speaker 2>get the University of Michigan sentiment from the consumer right

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<v Speaker 2>now that still sees inflation at about three percent for

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<v Speaker 2>the next five to ten years. That inflationary pressure still

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<v Speaker 2>pushing down there for on the tech stocks on the day,

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<v Speaker 2>we're seeing the two year yield actually rise some nine

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<v Speaker 2>basis points. How much is a federal reserve going to

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<v Speaker 2>have to tackle that embedded view of the consumer Aware

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<v Speaker 2>inflation is heading, of course, we've also got anxiety about

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<v Speaker 2>a ceiling about the banking system, plenty still to chew

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<v Speaker 2>on as we head towards the weekend. Interesting moves in

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<v Speaker 2>the emerging markets as well. Keep an eye on Turkey,

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<v Speaker 2>which looks pretty buoyant from the banking system there as

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<v Speaker 2>they look towards a key vote. Could Ernuwan be waved

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<v Speaker 2>goodbye to this weekend? And also look at South Africa.

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<v Speaker 2>We've got the rand really collapsing on the day as

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<v Speaker 2>we see concerns about the relationship between South Africa and

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<v Speaker 2>the US, all to do with Russia supply of arms.

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<v Speaker 2>Let's pick it on agear, because I want to look

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<v Speaker 2>at what's happening in terms of crypto and dollar has

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<v Speaker 2>had a real rally this week on the back of

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<v Speaker 2>some of these inflation concerns and the slowdown in the

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<v Speaker 2>overall jobs data as well. We're seeing bitcoin off by

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<v Speaker 2>nine percent on the course of the week, ed quite

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<v Speaker 2>a sell off, in fact, the first back to back

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<v Speaker 2>weekly loss a bitcoin since back in March. But dive

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<v Speaker 2>into some of the micromovers and starts today.

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<v Speaker 4>Yeah, look, it's a kind of markets day where there's

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<v Speaker 4>a lack of news headlines, particularly in the technology sector.

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<v Speaker 4>I look at some of the megacaps. Actually, one mover

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<v Speaker 4>to the upside is Alphabet, the parent of Google, up

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<v Speaker 4>by six tenths of a percent. You see some of

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<v Speaker 4>its megacap peers moving to the downside, dragging down the

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<v Speaker 4>nas That one hundred is an example for the Alphabet

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<v Speaker 4>actually on track for its best week since mid March.

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<v Speaker 4>I think there's a lot of momentum in this name

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<v Speaker 4>from all the news we got from the Google io

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<v Speaker 4>around what they're actually doing in AI. This show Bluemberg

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<v Speaker 4>Technology today is going to have.

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<v Speaker 3>A big AI theme.

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<v Speaker 4>But we're not seeing sort of news driven moves in

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<v Speaker 4>the markets. Apart from Tesla. Let's take a look at

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<v Speaker 4>this stock. It's interesting had been higher at the open,

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<v Speaker 4>markedly higher, up by a couple of percentage points. We're

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<v Speaker 4>now softer by one point four percent. Three factors in

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<v Speaker 4>the market, one the principal one being we do have

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<v Speaker 4>a new CEO at Twitter, Linda Yakarino. We will get

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<v Speaker 4>into that momentarily. Also news elsewhere that they've raised prices

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<v Speaker 4>incrementally on the Model Y in the US two hundred

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<v Speaker 4>and fifty dollars and on some of the more expensive

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<v Speaker 4>models like Model why sorry, more expensive models like the

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<v Speaker 4>Model Let's having a one thousand dollar price bump. In China,

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<v Speaker 4>there is a soft recall for a software fix on

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<v Speaker 4>Regenerative breaking one point one million units or so. A

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<v Speaker 4>lot happening. But we're down one and a half percent

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<v Speaker 4>on Tesla. I think a lot of this has the

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<v Speaker 4>market's passing. What's happening at Twitter Elon Musk's other company.

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<v Speaker 2>Yeah, that's stick into that, of course, because he is

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<v Speaker 2>announcing said it last night. In fact, stepping down, stepping

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<v Speaker 2>back is Twitter CEO in the next coming weeks, and

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<v Speaker 2>reports now name NBC ad chief Linda Yacarino as his

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<v Speaker 2>successor for more let's bring him luez Asha Counts interestingly,

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<v Speaker 2>comcast down a little bit on the news that they're

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<v Speaker 2>losing this ad chief over at NBC Universal. But we

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<v Speaker 2>do see finally what someone who gets advertising been paired

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<v Speaker 2>with someone who gets the technology.

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<v Speaker 5>Yeah, it's huge, right, Twitter is advertising revenue has declined

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<v Speaker 5>about fifty percent maybe more since must have over he's

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<v Speaker 5>really alienated a lot of advertisers with some of his

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<v Speaker 5>erratic decision making and things like getting into a spat

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<v Speaker 5>with the ex employee who was disabled and making comments

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<v Speaker 5>that were perceived by some to be sexist against women,

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<v Speaker 5>and all these sorts of things have really driven advertisers away.

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<v Speaker 5>So bringing in someone like Linda, who has such deep

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<v Speaker 5>experience in the advertising industry, has those relationships, has an

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<v Speaker 5>amazing reputation like that could be huge for Twitter and

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<v Speaker 5>really rebuilding trust with advertisers.

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<v Speaker 4>Caroline Asha Elon Musk has tweeted in the last fifteen minutes,

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<v Speaker 4>let's bring that up and show our audience. He says,

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<v Speaker 4>I am excited to welcome Linda Yakarino as the new

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<v Speaker 4>CEO of Twitter. So there you have it, official confirmation.

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<v Speaker 4>He tags Linda Yakarino and says that you'll focus primarily

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<v Speaker 4>on business operations while he focuses on product design, new technology.

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<v Speaker 4>Looking forward to working with Linda to transform this platform

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<v Speaker 4>into X the everything app. That is the kind of

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<v Speaker 4>key key part right that this is one step to

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<v Speaker 4>a bigger project.

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<v Speaker 3>Asia. Yeah.

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<v Speaker 5>Musk has talked a lot about this idea of having

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<v Speaker 5>an everything app, right, modeling on something like we chat

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<v Speaker 5>in China where you can book events and tickets and

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<v Speaker 5>pay for things. So he's talked a lot about that

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<v Speaker 5>and sort will be interesting to see if he's actually

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<v Speaker 5>able to execute on that idea. And then we know, right,

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<v Speaker 5>a number of weeks ago he put Twitter underneath this

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<v Speaker 5>holding company called X.

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<v Speaker 6>Right, so technically Twitter Inc.

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<v Speaker 5>Doesn't exist, but it's underneath this company called X and

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<v Speaker 5>it's part of his vision to sort of make Twitter

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<v Speaker 5>an app that can do everything.

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<v Speaker 2>I've got to sort of reflect on all the messiness

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<v Speaker 2>of all of this. So a shit because if we

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<v Speaker 2>reflect on what's just happened to comodcasts NBC Universal, they're

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<v Speaker 2>about to go to their advertising community, they're about to

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<v Speaker 2>have their upfronts. They're about to be pitching how you

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<v Speaker 2>should be lining up your advertising against some of their

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<v Speaker 2>online offerings, and particularly on Peacock, and the main women

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<v Speaker 2>to do that has just exited stage left in quite

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<v Speaker 2>a sort of erratic manner. It can't be a great

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<v Speaker 2>end to that part of her career and start on

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<v Speaker 2>the next one.

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<v Speaker 6>Yeah, it has to be difficult, right.

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<v Speaker 5>She was really integral to NBC efforts like Peacock, which

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<v Speaker 5>is you know, the ad supporters dreaming service, to even

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<v Speaker 5>establishing partnerships and relationships with some of the tech companies

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<v Speaker 5>including Twitter, Snapchat, YouTube and others, and then even huge

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<v Speaker 5>events like the Super Bowl in the Olympic Games. So

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<v Speaker 5>she had a really really important role at NBCU, and

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<v Speaker 5>so I can imagine it's going to be tough now

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<v Speaker 5>that that she's leaving at this last moment when she

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<v Speaker 5>had a lot of those relationships and was responsible for

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<v Speaker 5>a lot of those relationships with advertisers. Good for Twitter,

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<v Speaker 5>but obviously really tough for NBCU, which has had its

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<v Speaker 5>own sort of internal praders with the past as well.

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<v Speaker 4>Yeah, with the departure of their leader in recent weeks.

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<v Speaker 4>It's interesting the CV Asia. We reported in October that

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<v Speaker 4>when Elon Musk brought in those private investors for ex

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<v Speaker 4>Corps now EX Holdings, he stayed in writing the plan

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<v Speaker 4>to take the company known as Twitter public again in

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<v Speaker 4>a three to five year horizon. But you look at

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<v Speaker 4>Lindy Yakarino, she doesn't have CEO experience and there are

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<v Speaker 4>still advertiser concerns, right, I mean, just give us the

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<v Speaker 4>latest on the advertiser flight and the impact of revenue.

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<v Speaker 5>Yeah, so the last time we looked at the numbers

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<v Speaker 5>here at Bloomberg, right, it was still a large majority

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<v Speaker 5>of advertisers on Twitter had left. So advertising revenue was

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<v Speaker 5>down amongst the top ten advertisers from like seventy million

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<v Speaker 5>to something like seven million, So it was a huge,

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<v Speaker 5>huge decline. And even today, advertisers that I've spoken to

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<v Speaker 5>are still a little bit concerned about brand safety. So

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<v Speaker 5>some of you may have noticed on Twitter there seems

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<v Speaker 5>to have been almost a rise in misinformation and hate speech.

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<v Speaker 5>Advertisers are concerned about that. They're concerned about some of

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<v Speaker 5>must own tweets himself and some of his erratic decision making,

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<v Speaker 5>and so advertisers still have a lot of concerns about Twitter.

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<v Speaker 5>And honestly, Twitter was not always necessarily a top advertising

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<v Speaker 5>destination anyways, just because it's a lot smaller than its

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<v Speaker 5>competitors like Meta. So there's still going to be a

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<v Speaker 5>lot of challenges in getting advertisers back and really ensuring

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<v Speaker 5>them that when they put an advertisement on Twitter, it's

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<v Speaker 5>not going to appear next to some misinformation or fake news,

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<v Speaker 5>that it's going to appear next to tweets that are

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<v Speaker 5>saved and are not going to damage their brand reputation.

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<v Speaker 4>All right, Bloomberg seish accounts, thank you so much, busy

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<v Speaker 4>twenty four hours for you and I both so Carral

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<v Speaker 4>investors poured nearly four billion dollars into tech stocks over

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<v Speaker 4>the course of the week. But Bank of America is

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<v Speaker 4>splashing cold water on this rally, saying this prolonged period

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<v Speaker 4>of economic decline in the US were royal technology stocks

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<v Speaker 4>at the time where they're attracting a way of investor money.

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<v Speaker 4>A team led by Michael Harnett expects a recession to

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<v Speaker 4>crack credit and tech just as it did back in

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<v Speaker 4>two thousand and eight. And there's so many eye to

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<v Speaker 4>this debate, right. There's those that look at the megacaps

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<v Speaker 4>and say balance sheet and trench market position, look at

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<v Speaker 4>the activity in the corporate credit sector, the demand detect

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<v Speaker 4>is there. Bank of America things differently.

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<v Speaker 2>Yeah. I mean, whether you see big tech as some

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<v Speaker 2>sort of haven in downturns or whether you see it

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<v Speaker 2>as a bet still on growth. And let's just look

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<v Speaker 2>at the growthier part of this, because the exuberants around

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<v Speaker 2>a lot of these tech stocks I think of in

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<v Speaker 2>video I think has some of the chick names. It's

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<v Speaker 2>largely on the back of artificial intelligence, isn't it? And

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<v Speaker 2>I thought there was a great note from Sotschen today.

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<v Speaker 2>Key Stretchers is over there saying, look, actually all the

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<v Speaker 2>main driving force of the equity rally this year and

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<v Speaker 2>the SMP, it's all artificial intelligence. It's a strip away

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<v Speaker 2>that sort of euphoria around certain AI stocks and actually

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<v Speaker 2>the SMP would be in the red for this year.

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<v Speaker 2>I'm loving this from Nash Cabra. It was really interesting.

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<v Speaker 2>He's riding over in London, but they really cite the

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<v Speaker 2>ninety six percent increase and in video overall, but Alphabet

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<v Speaker 2>the Microsoft's what would happen if we sort of took

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<v Speaker 2>away some of Alxuberant said.

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<v Speaker 3>We saw it in the private markets.

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<v Speaker 4>First, think back weeks months ago, all the money going

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<v Speaker 4>to AI startups, and then the last three weeks what

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<v Speaker 4>happened earning season. And this is what I've been looking

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<v Speaker 4>at on the Bloomberg terminal, which is a fantastic chart

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<v Speaker 4>that to how our chart's chief and I have been

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<v Speaker 4>passing over. So go back all the way to twenty fifteen,

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<v Speaker 4>and this is a basket of around twenty of the

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<v Speaker 4>biggest technology names across the S and P five hundred

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<v Speaker 4>and as that one hundred like nada zero mentions of

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<v Speaker 4>the phrase artificial intelligence or AI.

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<v Speaker 3>Fast forward to the first quarter of.

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<v Speaker 4>Twenty twenty three and across the earnings cool transcript. That's

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<v Speaker 4>what we've analyzed, more than two hundred mentions just for

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<v Speaker 4>that basket of twenty companies. That's a massive ramp up

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<v Speaker 4>in activity. It's been gaining. But look, first quarter of

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<v Speaker 4>twenty twenty three, this is the here and now. AI

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<v Speaker 4>is everything for corporate America.

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<v Speaker 2>It is, but with that exuberance comes for many a

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<v Speaker 2>healthy Joseph caution, A healthy Dooseph, how do you inject

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<v Speaker 2>artificial intelligence into your business model in this safe way?

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<v Speaker 2>We're going to have that exact conversation right now, ed

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<v Speaker 2>because Navrida sings with us AI found a CEO GOODEOII

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<v Speaker 2>is actually a responsible oftificial intelligence governance platform. Basically, you

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<v Speaker 2>are empowering organizations to what delivered to embed AI, but

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<v Speaker 2>do it responsibly, do it proactively, monitor it, manage it.

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<v Speaker 2>And I'm interested in Nevrena, how many companies you think

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<v Speaker 2>are actually holding back on interjecting generative AI because they

0:11:22.200 --> 0:11:24.720
<v Speaker 2>are worried about some of the risks that are involved.

0:11:26.120 --> 0:11:27.960
<v Speaker 7>Thank you so much for having me And what a

0:11:28.000 --> 0:11:32.079
<v Speaker 7>critical topic right now, Carolyn, VA are seeing across the industry.

0:11:32.160 --> 0:11:36.600
<v Speaker 7>Right now, generative AI already reinventing businesses. The top of

0:11:36.640 --> 0:11:40.160
<v Speaker 7>mind questions for many of our customers is, you know,

0:11:40.160 --> 0:11:43.320
<v Speaker 7>how can they continue innovating responsibly or get crushed by

0:11:43.320 --> 0:11:47.120
<v Speaker 7>this generative AI wave. So right now, the top of

0:11:47.200 --> 0:11:49.920
<v Speaker 7>mind question that we are hearing across our customers and

0:11:49.920 --> 0:11:55.120
<v Speaker 7>partners is how can I adopt GENITIVEVII confidentally and responsibly

0:11:55.600 --> 0:12:01.080
<v Speaker 7>to make sure that the risks like copyright, appy IP leakage, plagiarism, etc.

0:12:01.559 --> 0:12:02.240
<v Speaker 6>Are under check.

0:12:03.760 --> 0:12:07.240
<v Speaker 2>Your background is fascinating because you're building this way of

0:12:07.320 --> 0:12:10.040
<v Speaker 2>monitoring and doing it responsibly. You used to be a

0:12:10.040 --> 0:12:12.720
<v Speaker 2>director of product over at Microsoft. Thinking about the ways

0:12:12.760 --> 0:12:17.199
<v Speaker 2>in which AI can be commercialized. Is corporate America at

0:12:17.200 --> 0:12:21.960
<v Speaker 2>this moment being thoughtful enough? Is VC private money being

0:12:22.000 --> 0:12:24.360
<v Speaker 2>thoughtful enough about the guardrails and known to go in

0:12:24.400 --> 0:12:26.960
<v Speaker 2>place at the same time as the exuberance around just

0:12:27.000 --> 0:12:27.520
<v Speaker 2>the innovation.

0:12:29.080 --> 0:12:32.120
<v Speaker 7>You know, Carolyn, there is some momentum, but it needs

0:12:32.120 --> 0:12:34.560
<v Speaker 7>to be more. As you can imagine, Now it's not

0:12:34.720 --> 0:12:37.880
<v Speaker 7>about just winning the DEI. It is also about how

0:12:37.960 --> 0:12:40.280
<v Speaker 7>you win the DEI. And this is where you're going

0:12:40.320 --> 0:12:44.320
<v Speaker 7>to start seeing a lot of differentiation among organizations that

0:12:44.440 --> 0:12:46.040
<v Speaker 7>actually are more just leaders in.

0:12:46.000 --> 0:12:46.920
<v Speaker 6>This age of AI.

0:12:47.600 --> 0:12:50.040
<v Speaker 7>Where there is investment in the I governance, where there's

0:12:50.160 --> 0:12:53.720
<v Speaker 7>investment in oversight, whether investment is not in not only

0:12:53.840 --> 0:12:58.040
<v Speaker 7>understanding AI risk but managing them at scale while also

0:12:58.120 --> 0:13:01.319
<v Speaker 7>keeping an eye out to future regular that's where we

0:13:01.400 --> 0:13:04.479
<v Speaker 7>are going to see the wins emerging in the ecosystem.

0:13:04.800 --> 0:13:09.440
<v Speaker 7>So AI governance is certainly underfunded and certainly you know,

0:13:09.520 --> 0:13:11.400
<v Speaker 7>becoming top of mind, but we need to see more

0:13:11.440 --> 0:13:13.280
<v Speaker 7>progress and momentum in this space.

0:13:14.080 --> 0:13:17.800
<v Speaker 4>And avery in a good morning to you government compliance

0:13:17.880 --> 0:13:21.400
<v Speaker 4>doing business with the public sector. What level of government

0:13:21.480 --> 0:13:24.839
<v Speaker 4>clients does CREDO have. Are you able to offer your

0:13:24.880 --> 0:13:27.880
<v Speaker 4>services to the federal government as an example?

0:13:29.240 --> 0:13:29.960
<v Speaker 7>Absolutely?

0:13:30.160 --> 0:13:30.199
<v Speaker 8>Ed.

0:13:30.600 --> 0:13:33.480
<v Speaker 7>So recently we announced a very strong partnership with booths

0:13:33.559 --> 0:13:36.840
<v Speaker 7>Allen that exactly that focus. As you can imagine, there's

0:13:36.880 --> 0:13:41.360
<v Speaker 7>been an emerging discussion Invice House around how do you

0:13:41.480 --> 0:13:45.280
<v Speaker 7>know make sure that frameworks like billa frids are implemented

0:13:45.360 --> 0:13:49.880
<v Speaker 7>appropriately across US agencies so that we're always keeping you know,

0:13:50.000 --> 0:13:53.360
<v Speaker 7>US citizens right. Central to this conversation, the creator AI

0:13:53.480 --> 0:13:56.679
<v Speaker 7>right now is working across United States government as well

0:13:56.720 --> 0:13:59.360
<v Speaker 7>as this partners like Booze Alan so that we can

0:13:59.400 --> 0:14:04.080
<v Speaker 7>bring AI governance as a mechanism for them to activate

0:14:04.200 --> 0:14:07.520
<v Speaker 7>AI adoption. But due to again safely and.

0:14:07.480 --> 0:14:14.000
<v Speaker 4>Responsibly, there's a debate within the artificial intelligence community AI

0:14:14.160 --> 0:14:17.880
<v Speaker 4>native or AI adjacent startup founders basically looking at regulation

0:14:18.040 --> 0:14:21.320
<v Speaker 4>and saying, well, if we think about healthcare or education,

0:14:21.440 --> 0:14:26.200
<v Speaker 4>those are highly regulated industries where the consumer faces high

0:14:26.200 --> 0:14:29.480
<v Speaker 4>prices or there are still risks in place. What is

0:14:29.520 --> 0:14:33.800
<v Speaker 4>the benefit of focusing on a commercial guard rail versus

0:14:34.040 --> 0:14:36.000
<v Speaker 4>seeking comprehensive regulation.

0:14:37.720 --> 0:14:39.520
<v Speaker 7>Yeah, you know, ed, I think this is where we

0:14:39.680 --> 0:14:43.200
<v Speaker 7>have to really strike a right balance between innovation and

0:14:43.400 --> 0:14:48.040
<v Speaker 7>regulation that supports that innovation. And you know, there's global

0:14:48.040 --> 0:14:51.320
<v Speaker 7>initiatives that I'm actually actively involved in. TRETO as involved

0:14:51.320 --> 0:14:54.760
<v Speaker 7>in again to make sure that AI governance and oversights

0:14:55.040 --> 0:14:58.920
<v Speaker 7>are cross the entire value chain from design, development to

0:14:59.160 --> 0:14:59.880
<v Speaker 7>procurement and.

0:14:59.840 --> 0:15:01.320
<v Speaker 6>New of EI systems happen.

0:15:01.760 --> 0:15:04.120
<v Speaker 7>And so you know, this is an opportunity for us

0:15:04.440 --> 0:15:07.560
<v Speaker 7>to really bring in private and public sectors together to

0:15:07.800 --> 0:15:11.520
<v Speaker 7>ensure that policy goes hand in hand with innovation, so

0:15:11.560 --> 0:15:15.080
<v Speaker 7>that it can become an accelerant rather than a deterrent

0:15:15.480 --> 0:15:17.080
<v Speaker 7>to the THEI innovation.

0:15:18.520 --> 0:15:21.320
<v Speaker 4>Never in a sing creto AI CEO, thank you for

0:15:21.400 --> 0:15:25.560
<v Speaker 4>your time. Now sticking with AI, the music industry's biggest

0:15:25.600 --> 0:15:29.560
<v Speaker 4>threat now is AI generated songs that are going viral.

0:15:29.840 --> 0:15:33.560
<v Speaker 4>Industry executives, most notably Spotify CEO Daniel Eck, have been

0:15:33.640 --> 0:15:37.720
<v Speaker 4>quick to promise heightened vigilance on behalf of labels, artists,

0:15:37.760 --> 0:15:40.240
<v Speaker 4>and copyright holders. But while the platforms are sizing up

0:15:40.360 --> 0:15:43.840
<v Speaker 4>the new disruptive force, labels and managers say that fraud

0:15:44.240 --> 0:15:47.800
<v Speaker 4>is already rampant. User generated content and bogus tracks may

0:15:47.840 --> 0:15:51.160
<v Speaker 4>now can account for ten percent of all streams.

0:15:51.200 --> 0:15:54.400
<v Speaker 2>Karen, amazing those statistics. I mean, well, let's shift get

0:15:54.440 --> 0:15:55.600
<v Speaker 2>us a little bit ed. We've going to go to

0:15:56.080 --> 0:15:58.280
<v Speaker 2>an old school in the world of technology. We're going

0:15:58.320 --> 0:16:02.000
<v Speaker 2>to Squarespace with the man who built it twenty years ago.

0:16:02.040 --> 0:16:05.960
<v Speaker 2>The CEO howses website still such a prominent building platform.

0:16:06.000 --> 0:16:09.000
<v Speaker 2>How's it developing tools necessary to serve small businesses? And

0:16:09.080 --> 0:16:11.040
<v Speaker 2>let's face it, we'll ask a question about AI or two.

0:16:11.040 --> 0:16:13.280
<v Speaker 2>I'm sure that's next. As a Bloomberg.

0:16:27.880 --> 0:16:31.160
<v Speaker 4>Squarespace, known for its suite of services in website building,

0:16:31.200 --> 0:16:34.680
<v Speaker 4>domains and marketing tools, is reaffirming's mission to serve small

0:16:34.720 --> 0:16:39.080
<v Speaker 4>businesses and creatives after twenty years of operations. We welcome

0:16:39.120 --> 0:16:42.320
<v Speaker 4>its founder and CEO, Anthony Casalina to the program. Anthony,

0:16:42.360 --> 0:16:44.920
<v Speaker 4>Good afternoon to you out in New York. Good morning

0:16:44.920 --> 0:16:47.520
<v Speaker 4>here from in San Francisco. You had earnings on Tuesday

0:16:48.040 --> 0:16:50.520
<v Speaker 4>and you raised four year guidance for revenue, and I

0:16:50.520 --> 0:16:52.680
<v Speaker 4>want to get right to it and ask how much

0:16:52.720 --> 0:16:55.600
<v Speaker 4>of that confidence is driven by the moment we're having

0:16:55.600 --> 0:16:56.000
<v Speaker 4>in AI.

0:16:58.240 --> 0:16:58.400
<v Speaker 9>Yeah.

0:16:58.600 --> 0:17:01.440
<v Speaker 10>First off, thank you for having me, and you know,

0:17:01.600 --> 0:17:04.000
<v Speaker 10>just a fantastic quarter for us. We were able to

0:17:04.000 --> 0:17:07.320
<v Speaker 10>beat and raise, maintain our strong cash flow profile, and

0:17:07.320 --> 0:17:12.000
<v Speaker 10>continue to accelerate growth, which is really fantastic. Another point

0:17:12.000 --> 0:17:14.720
<v Speaker 10>on the quarter is that trial starts, a number of

0:17:14.760 --> 0:17:18.560
<v Speaker 10>people trying our core product was the highest of any quarter,

0:17:18.640 --> 0:17:20.399
<v Speaker 10>even including pandemic.

0:17:19.920 --> 0:17:21.680
<v Speaker 1>Quarters, which were record high for us.

0:17:23.000 --> 0:17:25.040
<v Speaker 10>You know, as you mentioned and as I you know,

0:17:25.320 --> 0:17:27.880
<v Speaker 10>spent a lot of time talking about on our earnings call,

0:17:28.760 --> 0:17:31.399
<v Speaker 10>AI is something that's you know, we actually know a

0:17:31.440 --> 0:17:34.560
<v Speaker 10>lot about our industry is no stranger to it.

0:17:34.760 --> 0:17:36.439
<v Speaker 1>I would say two things about it.

0:17:36.720 --> 0:17:39.439
<v Speaker 10>One is sort of you know where scort space is

0:17:39.560 --> 0:17:42.400
<v Speaker 10>right now and where we're going in terms of where

0:17:42.400 --> 0:17:47.080
<v Speaker 10>we take things with AI. So Scortespace stopped the need

0:17:47.280 --> 0:17:49.399
<v Speaker 10>for a lot of people who use our platform for

0:17:49.520 --> 0:17:53.080
<v Speaker 10>programming websites about two decades ago, so that's not something we,

0:17:54.119 --> 0:17:57.240
<v Speaker 10>you know, are planning on necessarily using AI for at

0:17:57.240 --> 0:17:59.960
<v Speaker 10>this time. You know, once you get start up with scores,

0:18:00.520 --> 0:18:02.440
<v Speaker 10>we do a lot more than just generate a website.

0:18:02.440 --> 0:18:08.080
<v Speaker 10>We hosted, deal with bandwidth, cybersecurity, DDoS protection, dns as

0:18:08.080 --> 0:18:12.320
<v Speaker 10>a seal, certificates, domain registration, you know, just a myriad

0:18:12.359 --> 0:18:15.919
<v Speaker 10>of things that you need after you, you know, have

0:18:16.040 --> 0:18:18.680
<v Speaker 10>designed the website, and we do that for sixteen dollars

0:18:18.760 --> 0:18:22.000
<v Speaker 10>a month as a starting point, so you know that

0:18:22.040 --> 0:18:25.240
<v Speaker 10>stuff is as relevant as ever for our customers. I'll

0:18:25.280 --> 0:18:28.000
<v Speaker 10>say two things about how we've been incorporating AI in

0:18:28.080 --> 0:18:30.760
<v Speaker 10>large language models today and where we're going to be

0:18:30.760 --> 0:18:33.960
<v Speaker 10>incorporating them in the future. So one of the main

0:18:34.000 --> 0:18:36.800
<v Speaker 10>reasons why people have a trouble starting with scorespace is

0:18:36.840 --> 0:18:38.960
<v Speaker 10>they say their content is not ready, they don't have

0:18:39.000 --> 0:18:40.920
<v Speaker 10>the images they need for their site. They don't know

0:18:40.960 --> 0:18:43.119
<v Speaker 10>how to write an about page, they don't have their copyright.

0:18:43.520 --> 0:18:47.240
<v Speaker 10>So actually, this past Monday, right before earnings, we introduced

0:18:47.320 --> 0:18:53.320
<v Speaker 10>chat Beat GPT based large language model content generation in

0:18:53.840 --> 0:18:55.520
<v Speaker 10>all of our text fields and we launch that and

0:18:55.560 --> 0:18:56.920
<v Speaker 10>beta to our circle community.

0:18:57.240 --> 0:18:58.840
<v Speaker 1>So we're super excited about that.

0:18:59.359 --> 0:19:02.560
<v Speaker 2>The other place, did that moment that you announced that

0:19:02.600 --> 0:19:07.080
<v Speaker 2>you were integrating with open AI, did that clearly make

0:19:07.119 --> 0:19:09.360
<v Speaker 2>a lift? Did your people start to turn to say

0:19:09.359 --> 0:19:11.919
<v Speaker 2>this is exciting, this is going to change dull or

0:19:11.920 --> 0:19:13.359
<v Speaker 2>are they just like yes, obviously?

0:19:14.800 --> 0:19:16.639
<v Speaker 10>I think it was more of yes, obviously. You know,

0:19:16.680 --> 0:19:19.320
<v Speaker 10>we've been aware of these models for months. I mean,

0:19:19.400 --> 0:19:22.040
<v Speaker 10>AI has been part of setup in our industry for

0:19:22.119 --> 0:19:25.440
<v Speaker 10>I believe about eight years, so we've been looking at

0:19:25.440 --> 0:19:28.600
<v Speaker 10>it extensively, which kind of brings me to the second

0:19:28.600 --> 0:19:32.159
<v Speaker 10>place where we're incorporating AI. In Q one, we launched

0:19:32.160 --> 0:19:35.800
<v Speaker 10>something called Scorespace Blueprint, which lets people get started building

0:19:35.800 --> 0:19:39.040
<v Speaker 10>a template and bypassing our template store, that's a perfect

0:19:39.040 --> 0:19:42.640
<v Speaker 10>spot for us to integrate essentially prompt engineering on top

0:19:42.680 --> 0:19:44.959
<v Speaker 10>of a large language model. You can tell us more

0:19:44.960 --> 0:19:47.600
<v Speaker 10>about what you want and we can generate those sections

0:19:47.640 --> 0:19:50.159
<v Speaker 10>for you so that you don't have to be picking

0:19:50.160 --> 0:19:52.680
<v Speaker 10>a full template out at once. So perfect place is

0:19:52.680 --> 0:19:55.000
<v Speaker 10>where we expect to see a lot of AI tailwinds.

0:19:55.800 --> 0:19:58.880
<v Speaker 2>It's interesting, isn't it, ed at the moment that poor

0:19:58.920 --> 0:20:00.840
<v Speaker 2>people come on to want to talk about their general

0:20:00.880 --> 0:20:03.439
<v Speaker 2>earnings and we go straight for the AI focus. But

0:20:03.480 --> 0:20:05.639
<v Speaker 2>a lot of this is about how on earth ed

0:20:05.720 --> 0:20:07.760
<v Speaker 2>I think people are going to be coding in the future.

0:20:07.840 --> 0:20:09.600
<v Speaker 2>People are going to be burning in the future.

0:20:10.080 --> 0:20:12.960
<v Speaker 4>Anthy I have to ask you on self reflection how

0:20:13.080 --> 0:20:15.840
<v Speaker 4>much you feel an existential threat. The debate that I

0:20:15.880 --> 0:20:20.320
<v Speaker 4>hear daily is do we even need computer scientists anymore?

0:20:20.480 --> 0:20:21.359
<v Speaker 3>Do we need coding?

0:20:21.400 --> 0:20:23.800
<v Speaker 4>I know that you explained that you've taken that process

0:20:23.800 --> 0:20:26.160
<v Speaker 4>away twenty years ago, but you look at the demos

0:20:26.160 --> 0:20:27.960
<v Speaker 4>from Google on Wednesday.

0:20:27.960 --> 0:20:28.440
<v Speaker 3>I was there.

0:20:28.720 --> 0:20:32.280
<v Speaker 4>Look at what open ai demonstrates. Anyone can request code

0:20:32.440 --> 0:20:35.560
<v Speaker 4>and do anything with the code generated. So what's the

0:20:35.560 --> 0:20:36.640
<v Speaker 4>point in squarespace?

0:20:38.440 --> 0:20:38.680
<v Speaker 1>Oh?

0:20:38.800 --> 0:20:41.280
<v Speaker 10>I mean the point in squarespace is the list of

0:20:41.320 --> 0:20:42.080
<v Speaker 10>things I rattled.

0:20:42.119 --> 0:20:43.880
<v Speaker 1>After you have the code.

0:20:44.280 --> 0:20:47.240
<v Speaker 10>After you have the code, you have to hosted, provide

0:20:47.240 --> 0:20:50.040
<v Speaker 10>bandwidth storage, get a content, delivering a network on there,

0:20:50.600 --> 0:20:53.800
<v Speaker 10>prevent against data as attacks, get DNS running, get your

0:20:54.000 --> 0:20:57.160
<v Speaker 10>domain running. Squarespace does our ad for sixteen dollars a month.

0:20:58.200 --> 0:21:00.840
<v Speaker 10>If you were to also then pretend, not pretend, but

0:21:00.920 --> 0:21:04.560
<v Speaker 10>believe that all of our you know, all the programmers

0:21:04.560 --> 0:21:07.280
<v Speaker 10>in the world are suddenly going to be out of jobs,

0:21:07.280 --> 0:21:11.120
<v Speaker 10>which I certainly don't believe, then it would be very

0:21:11.160 --> 0:21:13.760
<v Speaker 10>interesting because then we would be modeling our company at

0:21:13.800 --> 0:21:16.200
<v Speaker 10>what something like a seventy percent free cash flow after

0:21:16.240 --> 0:21:18.600
<v Speaker 10>we can run it without employees or something that's nothing

0:21:18.640 --> 0:21:21.800
<v Speaker 10>we believe in. You know, we we have a fantastic

0:21:21.800 --> 0:21:24.199
<v Speaker 10>creative and engineering team and we're building that team not

0:21:24.359 --> 0:21:27.240
<v Speaker 10>thinking about a world where they don't exist. Further, in

0:21:27.800 --> 0:21:31.959
<v Speaker 10>other areas, like you know, customer support, We've had AI

0:21:32.000 --> 0:21:37.000
<v Speaker 10>based chatbots implemented for over five years. We monitored reflection relates.

0:21:37.040 --> 0:21:42.359
<v Speaker 10>Those are only better with GPT models, So we anticipate. Yeah,

0:21:42.520 --> 0:21:45.280
<v Speaker 10>really a lot of tailwinds from these technologies being incorporated

0:21:45.320 --> 0:21:48.120
<v Speaker 10>in the Squarespace, in the content generation, in a setup process,

0:21:48.480 --> 0:21:50.280
<v Speaker 10>and we think it doesn't really crack much at all

0:21:50.320 --> 0:21:51.840
<v Speaker 10>from the infrastructure we provide.

0:21:52.200 --> 0:21:54.639
<v Speaker 2>Anthony, great to have you, thanks for talking us to

0:21:55.000 --> 0:21:58.320
<v Speaker 2>Anthony Casselina that his CEO and founder a Square Space

0:21:58.520 --> 0:22:01.440
<v Speaker 2>from New York. From San Francisco. Listen, bloomg.

0:22:13.960 --> 0:22:17.200
<v Speaker 3>Welcome back to Bloomberg Technology. I med Love in San Francisco.

0:22:17.280 --> 0:22:19.160
<v Speaker 2>I'm Caroline hid in New York. Let's get to these

0:22:19.160 --> 0:22:21.639
<v Speaker 2>markets today, ed, because it's an interesting one as we

0:22:21.720 --> 0:22:22.960
<v Speaker 2>just see a little bit of caution as to go

0:22:22.960 --> 0:22:24.800
<v Speaker 2>into the weekend. We have the macro data looking a

0:22:24.840 --> 0:22:26.800
<v Speaker 2>little ugly if you look at the inflationary pressures, the

0:22:26.840 --> 0:22:30.040
<v Speaker 2>perspective of the consumer, the eumish data, we're down by

0:22:30.040 --> 0:22:32.560
<v Speaker 2>seven ten percent now, so tech takes a hit when

0:22:32.560 --> 0:22:34.439
<v Speaker 2>we've got inflation front and center because we think the

0:22:34.440 --> 0:22:36.399
<v Speaker 2>Fed's going to have to hike two year yield up

0:22:36.400 --> 0:22:38.320
<v Speaker 2>eight basis points. In the back of that bitcoint actually

0:22:38.320 --> 0:22:40.320
<v Speaker 2>having a bit of an ugly week and indeed down

0:22:40.400 --> 0:22:42.080
<v Speaker 2>some two percent on the day. It's down more than

0:22:42.119 --> 0:22:44.400
<v Speaker 2>ten percent nine percent over the course of the training week.

0:22:44.440 --> 0:22:46.480
<v Speaker 2>That's because of the strength in the US dollar as

0:22:46.520 --> 0:22:49.520
<v Speaker 2>well as warries, perhaps a little bit about the liquidity

0:22:49.640 --> 0:22:52.040
<v Speaker 2>out there and some of the regulatory risk. Let's plick

0:22:52.040 --> 0:22:53.920
<v Speaker 2>it on and look at how individual stocks are doing

0:22:53.920 --> 0:22:55.520
<v Speaker 2>on the day. Because Google, I have to say you

0:22:55.520 --> 0:22:57.560
<v Speaker 2>were there on Wednesday, Google, I owe, this has really

0:22:58.000 --> 0:23:01.159
<v Speaker 2>lit the fire beneath some Google Stock of late and

0:23:01.160 --> 0:23:03.320
<v Speaker 2>we're seeing Alphabet shares that seven tenths of an percent

0:23:03.359 --> 0:23:05.480
<v Speaker 2>and one of the biggest contributors to the points on

0:23:05.520 --> 0:23:07.800
<v Speaker 2>the upside at leads for some of the benchmarks. Today

0:23:08.000 --> 0:23:10.000
<v Speaker 2>we're seeing it up what ten percent of the course

0:23:10.000 --> 0:23:11.840
<v Speaker 2>of the week, best week since the end of March.

0:23:12.080 --> 0:23:15.080
<v Speaker 2>First Solar interesting buying a company in Europe. We don't

0:23:15.080 --> 0:23:17.119
<v Speaker 2>often see a company really shoot higher when it's spending

0:23:17.119 --> 0:23:20.040
<v Speaker 2>some money, but it seems to be really net additive

0:23:20.080 --> 0:23:22.639
<v Speaker 2>to the overall business offering. We're up twenty three percent

0:23:22.840 --> 0:23:25.280
<v Speaker 2>on First Solar, and I'm looking at Comcast down by

0:23:25.320 --> 0:23:27.840
<v Speaker 2>three tens percent. Of course, the owner of NBC Universal,

0:23:27.880 --> 0:23:30.560
<v Speaker 2>which today we understand ed, is having to say farewell

0:23:30.600 --> 0:23:33.760
<v Speaker 2>to their ad chief of MBC and we know where

0:23:33.760 --> 0:23:35.720
<v Speaker 2>they're going. Twitter. We'll talk about that in a minute.

0:23:36.240 --> 0:23:36.720
<v Speaker 1>We will.

0:23:36.800 --> 0:23:39.280
<v Speaker 4>Those are your tech markets. These are your tech headlines

0:23:39.320 --> 0:23:42.080
<v Speaker 4>in talking tech. First up, vin Fast, the ev maker

0:23:42.119 --> 0:23:45.639
<v Speaker 4>founded by Vietnam's richest person, going public via spack in

0:23:45.680 --> 0:23:48.960
<v Speaker 4>what would be the largest ever US listing buyer company

0:23:49.080 --> 0:23:51.760
<v Speaker 4>from Southeast Asia. The deal will give vin Fast and

0:23:51.800 --> 0:23:55.760
<v Speaker 4>equity value of about twenty three billion dollars. Sticking with

0:23:55.800 --> 0:23:58.919
<v Speaker 4>EV's Tesla facing issues in China, the TV maker will

0:23:58.960 --> 0:24:01.240
<v Speaker 4>need to fix almost every car it's ever sold there

0:24:01.520 --> 0:24:04.119
<v Speaker 4>due to a breaking and acceleration defect. Is actually on

0:24:04.160 --> 0:24:07.560
<v Speaker 4>the generative regenerative breaking. It could increase the crash of

0:24:07.960 --> 0:24:10.240
<v Speaker 4>a risk of a crash according to the regulator there,

0:24:10.400 --> 0:24:13.720
<v Speaker 4>impacting about one point one million vehicles. But it is

0:24:13.760 --> 0:24:17.040
<v Speaker 4>a software over the air update that we should point out.

0:24:17.080 --> 0:24:19.760
<v Speaker 4>And back in the US, Tesla has tweaked prices of

0:24:19.760 --> 0:24:22.280
<v Speaker 4>its vehicles for the third time in less than a month,

0:24:22.359 --> 0:24:25.000
<v Speaker 4>adding one thousand dollars to the prices of its Model

0:24:25.200 --> 0:24:27.520
<v Speaker 4>X and Model S. The base model s Now costs

0:24:27.520 --> 0:24:30.359
<v Speaker 4>a little more than eighty eight thousand dollars, still about

0:24:30.359 --> 0:24:33.320
<v Speaker 4>sixteen thousand less than it was at the start of

0:24:33.359 --> 0:24:33.680
<v Speaker 4>the year.

0:24:34.080 --> 0:24:35.800
<v Speaker 2>Carac Yeah, and we've got to sit with sort of

0:24:35.800 --> 0:24:38.560
<v Speaker 2>the Tesla theme, or at least its leader, because Tesla's

0:24:38.640 --> 0:24:41.560
<v Speaker 2>shares have been battered around a little bit today because well,

0:24:41.600 --> 0:24:44.240
<v Speaker 2>maybe its focus of Elon Musk is going to turn

0:24:44.280 --> 0:24:46.919
<v Speaker 2>his attention back to it. Why because maybe he can

0:24:46.960 --> 0:24:48.439
<v Speaker 2>take his foot off the gas a little bit when

0:24:48.480 --> 0:24:51.120
<v Speaker 2>it comes to leading Twitter. Of course, let's talk about

0:24:51.160 --> 0:24:53.640
<v Speaker 2>all of this when we're thinking about the leadership at Twitter.

0:24:53.680 --> 0:24:56.760
<v Speaker 2>Who's coming in with Cla diez ortis of course taking

0:24:57.160 --> 0:24:59.640
<v Speaker 2>the focus on the change of leadership and the future

0:24:59.640 --> 0:25:03.000
<v Speaker 2>of the so social media giant. And you're now, of course,

0:25:03.040 --> 0:25:07.879
<v Speaker 2>Kwina Perkins, VC SCOUT, former Twitter executive. What are you

0:25:08.280 --> 0:25:11.880
<v Speaker 2>making of the fact that, ultimately Twitter's had to realize

0:25:12.160 --> 0:25:14.439
<v Speaker 2>that Elon Musk is great on the tech side of things,

0:25:14.840 --> 0:25:17.080
<v Speaker 2>but they need someone who gets the advertising side of things.

0:25:18.240 --> 0:25:19.480
<v Speaker 6>I think it's so interesting.

0:25:19.520 --> 0:25:21.520
<v Speaker 11>I think, you know, Elon Musk may be a genius,

0:25:21.560 --> 0:25:24.439
<v Speaker 11>but we all make mistakes, including Elon, and it's just

0:25:24.560 --> 0:25:27.280
<v Speaker 11>very interesting to see sort of six months into this journey,

0:25:27.320 --> 0:25:31.479
<v Speaker 11>his realization that advertising, which made up ninety percent of

0:25:31.520 --> 0:25:35.399
<v Speaker 11>Twitter's business, really does matter and keeping those advertisers happy

0:25:35.440 --> 0:25:38.240
<v Speaker 11>and close is really important. And so this move is

0:25:38.400 --> 0:25:41.720
<v Speaker 11>just absolutely a step in that direction, a step in

0:25:41.800 --> 0:25:44.399
<v Speaker 11>hopefully a positive direction to turn around Twitter as a

0:25:44.400 --> 0:25:47.800
<v Speaker 11>business and bring back advertisers to the platform.

0:25:48.359 --> 0:25:52.439
<v Speaker 4>Claire Linda Yakarino, what's your reaction to her as a

0:25:52.480 --> 0:25:53.520
<v Speaker 4>CEO at Twitter.

0:25:54.520 --> 0:25:56.160
<v Speaker 6>I think it's super interesting.

0:25:56.400 --> 0:26:00.679
<v Speaker 11>I am interested to see how this goes forward. You know,

0:26:00.840 --> 0:26:05.199
<v Speaker 11>she and Elon gave a presentation last month at a

0:26:05.200 --> 0:26:08.520
<v Speaker 11>summit in which she seemed to really have a handle

0:26:08.640 --> 0:26:12.080
<v Speaker 11>on his personality, and you know she was even encouraging him.

0:26:12.119 --> 0:26:14.520
<v Speaker 11>You know, advertising is important, Elon, Why don't you get

0:26:14.520 --> 0:26:17.400
<v Speaker 11>off the Twitter at three am? So I think there's

0:26:17.440 --> 0:26:20.439
<v Speaker 11>hope here that she will be able to bring some

0:26:20.920 --> 0:26:25.600
<v Speaker 11>hast and some leadership to the company, which it really needs.

0:26:25.680 --> 0:26:28.520
<v Speaker 11>I mean, as I said, the revenues have just plummeted.

0:26:28.600 --> 0:26:30.560
<v Speaker 11>We know that, you know, advertising revenue used to make

0:26:30.600 --> 0:26:32.760
<v Speaker 11>up ninety percent of Twitter's business, and we know that

0:26:32.760 --> 0:26:35.879
<v Speaker 11>that advertising revenue is down about sixty percent now. And

0:26:35.920 --> 0:26:37.840
<v Speaker 11>what it really needs, what Twitter really needs is a

0:26:37.920 --> 0:26:40.640
<v Speaker 11>leader who can come in and court those global advertisers

0:26:40.640 --> 0:26:42.280
<v Speaker 11>to come back to the platform.

0:26:42.720 --> 0:26:46.640
<v Speaker 4>You were at Twitter twenty ninety twenty fourteen Corporate Social Innovation.

0:26:46.680 --> 0:26:48.200
<v Speaker 3>At one point I think somebody.

0:26:47.880 --> 0:26:51.640
<v Speaker 4>Called you the woman who got the Pope onto Twitter.

0:26:52.640 --> 0:26:55.760
<v Speaker 4>What will they be calling Linda Yakarino. What kind of

0:26:55.800 --> 0:26:58.240
<v Speaker 4>impact beyond just ad sales do you think she can

0:26:58.280 --> 0:27:00.800
<v Speaker 4>do to help the platform?

0:27:01.080 --> 0:27:04.120
<v Speaker 11>I think the potential here is pretty incredible. The first

0:27:04.119 --> 0:27:06.160
<v Speaker 11>thing she's going to have to do is get back

0:27:06.359 --> 0:27:09.320
<v Speaker 11>and court all those advertisers again, people she's worked with

0:27:09.480 --> 0:27:13.119
<v Speaker 11>very closely over her long career at NBC Universal, And

0:27:13.200 --> 0:27:15.120
<v Speaker 11>what she's going to have to convince them is that

0:27:15.160 --> 0:27:19.760
<v Speaker 11>stability and security are back. And that's of course why

0:27:19.840 --> 0:27:23.120
<v Speaker 11>advertisers left the platform, their concerns about stability and their

0:27:23.160 --> 0:27:27.040
<v Speaker 11>concerns about security, the rise of hate speech, the reintroduction

0:27:27.200 --> 0:27:30.000
<v Speaker 11>of a bunch of formerly banned accounts, and so that's

0:27:30.040 --> 0:27:32.760
<v Speaker 11>going to be her first sort of step is to

0:27:32.760 --> 0:27:36.640
<v Speaker 11>make sure advertisers feel safe and feel excited to use

0:27:36.760 --> 0:27:39.120
<v Speaker 11>the platform again. And then beyond that, I think one

0:27:39.119 --> 0:27:41.440
<v Speaker 11>of her biggest challenges is going to be looking at

0:27:41.440 --> 0:27:42.680
<v Speaker 11>how she can accomplish all.

0:27:42.600 --> 0:27:44.280
<v Speaker 6>This with a really reduced headcount.

0:27:44.400 --> 0:27:47.359
<v Speaker 11>We know that at NBC right now she leads a

0:27:47.400 --> 0:27:49.520
<v Speaker 11>team of about two thousand, which is about the size

0:27:49.520 --> 0:27:51.720
<v Speaker 11>of Twitter as it is right now. But you know,

0:27:51.800 --> 0:27:54.359
<v Speaker 11>Twitter is made up of a ton of engineers, and

0:27:54.440 --> 0:27:57.280
<v Speaker 11>she's going to get She's going to require a media

0:27:57.359 --> 0:27:59.800
<v Speaker 11>team and the need to sort of build that back

0:27:59.880 --> 0:28:01.960
<v Speaker 11>up again, and that's going to be really interesting to

0:28:01.960 --> 0:28:04.880
<v Speaker 11>see how she's able to do that on such limited numbers.

0:28:05.040 --> 0:28:05.760
<v Speaker 6>Staff numbers.

0:28:06.200 --> 0:28:09.200
<v Speaker 2>You point out the challenges here, and ultimately the way

0:28:09.200 --> 0:28:11.600
<v Speaker 2>in which this has been announced, dare I say, is

0:28:11.640 --> 0:28:13.680
<v Speaker 2>a complete mess. It is not how I would want

0:28:13.720 --> 0:28:15.480
<v Speaker 2>to be taking on a new role, to have to

0:28:15.520 --> 0:28:18.159
<v Speaker 2>exit like that, to have to enter like that. And

0:28:18.720 --> 0:28:21.240
<v Speaker 2>many have said, and maybe I'm just seeing it more

0:28:21.280 --> 0:28:23.399
<v Speaker 2>because I'm a woman, but they said, look, this is

0:28:23.440 --> 0:28:26.040
<v Speaker 2>a so called sort of glass cliff. This is once

0:28:26.119 --> 0:28:28.359
<v Speaker 2>again a diverse leader being handed a bit of a

0:28:28.359 --> 0:28:29.280
<v Speaker 2>poison chalice here.

0:28:30.720 --> 0:28:32.040
<v Speaker 6>It's super fascinating.

0:28:32.080 --> 0:28:34.960
<v Speaker 11>So there's a study from some researchers at the University

0:28:35.040 --> 0:28:37.399
<v Speaker 11>of Ethics and that's been sort of going viral on

0:28:37.440 --> 0:28:40.440
<v Speaker 11>Twitter because it was republished in Harvard Business Review, And

0:28:40.560 --> 0:28:43.720
<v Speaker 11>essentially it shows that in times of crisis, In times

0:28:43.720 --> 0:28:47.400
<v Speaker 11>of crisis is in a business generally the markets prefer

0:28:47.680 --> 0:28:52.200
<v Speaker 11>a leader who has stereotypically feminine or qualities of a woman, essentially,

0:28:52.280 --> 0:28:54.320
<v Speaker 11>and yet when a business is sort of doing well,

0:28:54.360 --> 0:28:57.520
<v Speaker 11>we tend to prefer the stereotypical qualities of a man.

0:28:57.680 --> 0:29:01.600
<v Speaker 11>So it's not a surprise that if an extreme moment

0:29:01.800 --> 0:29:06.040
<v Speaker 11>of necessary turnaround that Twitter requires right now, that they're

0:29:06.040 --> 0:29:09.640
<v Speaker 11>going out and seeking a female leader. What we can

0:29:09.680 --> 0:29:11.880
<v Speaker 11>hope is that she can turn this around and it

0:29:11.920 --> 0:29:16.160
<v Speaker 11>won't just be sort of a failed experiment.

0:29:16.280 --> 0:29:16.480
<v Speaker 3>Right.

0:29:17.480 --> 0:29:20.040
<v Speaker 2>And it's interesting, of course that Elon Musk is going

0:29:20.080 --> 0:29:22.880
<v Speaker 2>to the CTO role, so it feels as though the

0:29:23.040 --> 0:29:25.600
<v Speaker 2>delineation is clear. He's very much going to be about

0:29:25.640 --> 0:29:28.920
<v Speaker 2>innovation on the platform. She's going to be about how

0:29:28.960 --> 0:29:30.920
<v Speaker 2>you sell it and bring safety back. Is that the way?

0:29:31.040 --> 0:29:32.400
<v Speaker 2>Do you think that's a good allign It's a good

0:29:32.440 --> 0:29:33.200
<v Speaker 2>way of splitting it.

0:29:34.160 --> 0:29:35.920
<v Speaker 6>I think that's a good analysis.

0:29:35.960 --> 0:29:37.959
<v Speaker 11>But I think I would highlight here that you know,

0:29:38.000 --> 0:29:41.560
<v Speaker 11>this is a huge thing for him to acknowledge, right,

0:29:41.600 --> 0:29:45.960
<v Speaker 11>I mean, the CEO is, for all intentsive purposes, in

0:29:45.960 --> 0:29:47.000
<v Speaker 11>a management role.

0:29:46.840 --> 0:29:48.320
<v Speaker 6>In charge of the CTO.

0:29:48.440 --> 0:29:50.800
<v Speaker 11>And this is very different than the tune he was

0:29:50.840 --> 0:29:53.120
<v Speaker 11>singing six months ago when he bought the platform, right

0:29:53.120 --> 0:29:55.800
<v Speaker 11>that we're going to create a super app, that we're

0:29:55.800 --> 0:29:57.200
<v Speaker 11>going to have payments, that we're going to do all

0:29:57.200 --> 0:29:59.720
<v Speaker 11>these really exciting things that are going to require tons

0:29:59.720 --> 0:30:02.160
<v Speaker 11>of in on the side of tech. And now he's saying, hey,

0:30:02.200 --> 0:30:06.200
<v Speaker 11>you know, actually we need a CEO who really knows advertising,

0:30:06.240 --> 0:30:09.240
<v Speaker 11>who really knows numbers, who really knows the business side

0:30:09.280 --> 0:30:12.400
<v Speaker 11>of things. So I think it's a really fascinating turnaround

0:30:12.600 --> 0:30:14.440
<v Speaker 11>and I can't wait to see what happens.

0:30:15.600 --> 0:30:17.520
<v Speaker 4>I would also point out that he's going to the

0:30:17.560 --> 0:30:21.840
<v Speaker 4>executive chair role, so he's kind of giving himself that

0:30:22.080 --> 0:30:25.160
<v Speaker 4>position of oversight alongside CTO.

0:30:25.640 --> 0:30:26.320
<v Speaker 3>It's interesting.

0:30:26.400 --> 0:30:29.880
<v Speaker 4>I don't think Jack Dawsey was CEO when you were there.

0:30:29.880 --> 0:30:33.080
<v Speaker 4>You were there two thousand, ninety twenty fourteen, and Jack

0:30:33.120 --> 0:30:37.400
<v Speaker 4>Dorsey was technically CEO from twenty fifteen. But Jack was

0:30:37.440 --> 0:30:42.520
<v Speaker 4>also criticized for sort of having this non CEO persona.

0:30:42.600 --> 0:30:46.880
<v Speaker 4>He was not a pencil pushing executive. How did that

0:30:46.960 --> 0:30:51.000
<v Speaker 4>dynamic work at the company? You know, how important is

0:30:51.040 --> 0:30:54.160
<v Speaker 4>it to have somebody that's more technologically focused driving their

0:30:54.160 --> 0:30:55.400
<v Speaker 4>platform like Twitter forward.

0:30:56.640 --> 0:31:00.360
<v Speaker 11>Well, typically in Silicon Valley that's incredibly important, right from

0:31:00.400 --> 0:31:05.000
<v Speaker 11>the perception of how you're hiring the most incredible staff

0:31:05.080 --> 0:31:08.960
<v Speaker 11>and how you're raising venture dollars obviously not relevant right now.

0:31:09.040 --> 0:31:11.400
<v Speaker 6>To Elon, that's super, super important.

0:31:11.600 --> 0:31:15.000
<v Speaker 11>And so to be one of the largest tech companies

0:31:15.080 --> 0:31:17.680
<v Speaker 11>out there and to have a CEO who is not

0:31:17.800 --> 0:31:21.120
<v Speaker 11>technical is very interesting. And again I go back to

0:31:21.120 --> 0:31:23.600
<v Speaker 11>why I think this is such an admission on the

0:31:23.600 --> 0:31:27.560
<v Speaker 11>part of Elon that some of his experiments really didn't

0:31:27.600 --> 0:31:30.440
<v Speaker 11>work and didn't work to such an extent that they've.

0:31:30.360 --> 0:31:33.000
<v Speaker 6>Got to change up dramatically here.

0:31:34.320 --> 0:31:37.280
<v Speaker 11>I think with this change, you're going to see a

0:31:37.320 --> 0:31:41.120
<v Speaker 11>lot of going back to the way Twitter used to be,

0:31:41.640 --> 0:31:44.240
<v Speaker 11>and that may be really challenging for Elon and he

0:31:44.360 --> 0:31:47.240
<v Speaker 11>may really not like a lot of it. So, I mean,

0:31:47.280 --> 0:31:49.480
<v Speaker 11>there's a lot to kind of wade through here.

0:31:50.400 --> 0:31:51.560
<v Speaker 4>I just want to go back some of the reporting

0:31:51.600 --> 0:31:53.360
<v Speaker 4>we talked about earlier in the show, which is that

0:31:53.400 --> 0:31:58.160
<v Speaker 4>we reported in October when Elon brought back brought on

0:31:58.200 --> 0:32:01.080
<v Speaker 4>private investors to the new entity, telling them that plan

0:32:01.560 --> 0:32:04.200
<v Speaker 4>is to take this entity public again in a three

0:32:04.280 --> 0:32:05.480
<v Speaker 4>to five year time horizon.

0:32:05.520 --> 0:32:06.640
<v Speaker 3>So I find that interesting.

0:32:06.960 --> 0:32:09.280
<v Speaker 4>I also find like what Twitter is interesting in Caro

0:32:09.640 --> 0:32:12.239
<v Speaker 4>Taker Carlson the most recent example, So what we're going

0:32:12.280 --> 0:32:14.640
<v Speaker 4>to have news shows based on Twitter now?

0:32:14.920 --> 0:32:16.840
<v Speaker 2>Well, and that's what's so interesting. You'll hear a lot

0:32:16.880 --> 0:32:19.120
<v Speaker 2>of news executives sort of always wanting to know when

0:32:19.160 --> 0:32:21.360
<v Speaker 2>it's going to work in tandem with social media and

0:32:21.960 --> 0:32:25.720
<v Speaker 2>clear to that point, is that still an area that

0:32:25.760 --> 0:32:27.920
<v Speaker 2>you're interested in the fact that Tucker Carlson's going to

0:32:27.920 --> 0:32:30.840
<v Speaker 2>go and build something almost bespoke for Twitter. It's about

0:32:30.960 --> 0:32:33.200
<v Speaker 2>that seems to be more about the subscription side of things,

0:32:33.200 --> 0:32:36.080
<v Speaker 2>because he's not a man that actually really managed to

0:32:36.120 --> 0:32:38.080
<v Speaker 2>tantalize that many advertisers.

0:32:39.080 --> 0:32:42.160
<v Speaker 11>I don't think he is a man that tatalizes many advertisers.

0:32:42.200 --> 0:32:44.760
<v Speaker 11>I think that's accurate to say, yes, and then again,

0:32:44.760 --> 0:32:46.400
<v Speaker 11>we're getting back to subscription side.

0:32:46.440 --> 0:32:47.880
<v Speaker 6>So clearly Elon is.

0:32:47.800 --> 0:32:51.520
<v Speaker 11>Not giving up his dreams of, you know, charging users

0:32:51.520 --> 0:32:53.880
<v Speaker 11>to use the platform and have that to be a

0:32:53.920 --> 0:32:58.320
<v Speaker 11>really big business, but he is acknowledging that, hey, ninety

0:32:58.320 --> 0:33:01.640
<v Speaker 11>percent of revenue came directly from advertisers, and we need

0:33:01.680 --> 0:33:03.720
<v Speaker 11>to at least get back a little bit to the

0:33:03.800 --> 0:33:07.080
<v Speaker 11>way things used to be in order to keep Twitter

0:33:07.240 --> 0:33:09.720
<v Speaker 11>more or less on an even keel. Although I don't

0:33:09.760 --> 0:33:12.200
<v Speaker 11>think anyone could ever say Twitter is on an even

0:33:12.240 --> 0:33:12.920
<v Speaker 11>keel right now.

0:33:13.520 --> 0:33:17.040
<v Speaker 2>Well said kind of Perkins Lacy Scout, former Twitter executive

0:33:17.160 --> 0:33:19.160
<v Speaker 2>playas is. It's great to have some time with you

0:33:19.520 --> 0:33:20.600
<v Speaker 2>over there in Argentina.

0:33:20.960 --> 0:33:23.760
<v Speaker 3>Ed, Yeah, I enjoyed that one. We covered a lot

0:33:23.760 --> 0:33:24.080
<v Speaker 3>of ground.

0:33:24.120 --> 0:33:27.560
<v Speaker 4>They're coming up AI's impact on customer service. We're going

0:33:27.600 --> 0:33:30.960
<v Speaker 4>to scuss all that and more with nice CEO Barrack Elm.

0:33:31.240 --> 0:33:51.120
<v Speaker 8>Next, this is Bloomberg, and what we're seeing today is

0:33:51.120 --> 0:33:53.800
<v Speaker 8>a lot of AI tourists pretending to be AI natives.

0:33:53.840 --> 0:33:55.480
<v Speaker 8>You know, there's a lot of companies who are not

0:33:55.600 --> 0:33:58.360
<v Speaker 8>selling solutions. They're ultimately just selling vaporware.

0:33:59.440 --> 0:34:03.080
<v Speaker 2>Alex talking toughly the CEO of SCALEAI when it calls

0:34:03.160 --> 0:34:06.520
<v Speaker 2>AI tourists. Let's talked to more about the rise of

0:34:06.560 --> 0:34:08.520
<v Speaker 2>generative AI at this moment. Some of the players that

0:34:08.520 --> 0:34:11.000
<v Speaker 2>have been in the AI space more broadly for more

0:34:11.000 --> 0:34:13.880
<v Speaker 2>than a hot second, like Nice Tech company that has

0:34:13.920 --> 0:34:16.319
<v Speaker 2>been powering customer services for eighty five percent of the

0:34:16.320 --> 0:34:20.479
<v Speaker 2>fortune one hundred companies with artificial intelligence. Nice CEO rag

0:34:20.480 --> 0:34:24.759
<v Speaker 2>Iliam Elam is with us now. But it's interesting. You

0:34:24.760 --> 0:34:27.239
<v Speaker 2>have twenty five thousand organizations more than one hundred and

0:34:27.239 --> 0:34:30.399
<v Speaker 2>fifty countries. This is about customer experience and the use

0:34:30.440 --> 0:34:33.479
<v Speaker 2>of AI. How have you been folding generative AI into

0:34:33.520 --> 0:34:34.040
<v Speaker 2>that offering?

0:34:35.040 --> 0:34:37.320
<v Speaker 9>So, you know, if you think about our space, we

0:34:37.840 --> 0:34:41.879
<v Speaker 9>cater to thousands of organizations around the world that are

0:34:41.920 --> 0:34:45.440
<v Speaker 9>serving consumers, and we operate in the space of customer service,

0:34:45.440 --> 0:34:48.280
<v Speaker 9>and we have that platform of organization when it comes

0:34:48.280 --> 0:34:53.280
<v Speaker 9>to provide service to customers. When you know what AI

0:34:53.480 --> 0:34:57.000
<v Speaker 9>brings to the customer service ARAA, I feel back with

0:34:57.080 --> 0:35:00.640
<v Speaker 9>the customer service domain is a true game changer because

0:35:00.640 --> 0:35:03.799
<v Speaker 9>this industry has been struggling with three very important thing.

0:35:04.000 --> 0:35:07.279
<v Speaker 9>First is you know, the lack of skilled labor, the

0:35:07.320 --> 0:35:11.920
<v Speaker 9>ability to take decision in a very fast velocity, and

0:35:12.160 --> 0:35:15.840
<v Speaker 9>mess personalization at scale. Yes, and that's exactly what AI

0:35:16.000 --> 0:35:19.360
<v Speaker 9>can do to this industry. However, there is nothing generic,

0:35:19.400 --> 0:35:22.600
<v Speaker 9>if you'd like, about what those organizations needs when it

0:35:22.640 --> 0:35:24.839
<v Speaker 9>comes to AI. And this is exactly where we are

0:35:24.880 --> 0:35:27.640
<v Speaker 9>and our company come into the picture.

0:35:27.680 --> 0:35:30.720
<v Speaker 2>You're seeing growth of course, posting what twenty five percent

0:35:30.719 --> 0:35:33.960
<v Speaker 2>in the cloud revenue part of the business growth, But

0:35:34.120 --> 0:35:35.920
<v Speaker 2>are you worried about some of the competitors that are

0:35:35.920 --> 0:35:38.600
<v Speaker 2>coming on the space. If everyone suddenly starts being an

0:35:38.640 --> 0:35:42.840
<v Speaker 2>AI specialist, if everyone can suddenly start changing up a business.

0:35:42.880 --> 0:35:45.120
<v Speaker 2>I mean, I think this week alone we've had IBM,

0:35:45.360 --> 0:35:49.000
<v Speaker 2>what's the next, We've had slacked well slax owner salesforce

0:35:49.040 --> 0:35:52.120
<v Speaker 2>talking about how they're having the GPT within some parts

0:35:52.120 --> 0:35:55.480
<v Speaker 2>of their business. Everyone's now offering this to their customers.

0:35:55.880 --> 0:35:57.360
<v Speaker 9>I would sell in the countrary. First of all, We

0:35:57.680 --> 0:35:59.840
<v Speaker 9>reported our ERNIXT yesterday and as you said, we had

0:35:59.840 --> 0:36:03.160
<v Speaker 9>an outstanding earnings with twenty five percent growth in the cloud,

0:36:03.200 --> 0:36:06.759
<v Speaker 9>driven by both cloud and AI. But when it comes

0:36:06.800 --> 0:36:09.200
<v Speaker 9>to AI, although you know we all experience so far,

0:36:09.239 --> 0:36:12.520
<v Speaker 9>almost all of us experience the beauty of GENERATIVEI, when

0:36:12.520 --> 0:36:15.640
<v Speaker 9>it comes to deploying it in customer service for organization,

0:36:16.080 --> 0:36:19.239
<v Speaker 9>there is nothing generic about it. Actually, we see for

0:36:19.320 --> 0:36:21.960
<v Speaker 9>our customers that are divided into two camps, those that

0:36:22.000 --> 0:36:24.280
<v Speaker 9>says I will never put it in my customer service

0:36:24.360 --> 0:36:27.640
<v Speaker 9>environment because it's not secured and I cannot control it,

0:36:27.680 --> 0:36:30.200
<v Speaker 9>and the other that see the value but are concern

0:36:30.239 --> 0:36:33.760
<v Speaker 9>about taking something that generic and try it and doesn't work.

0:36:34.120 --> 0:36:36.680
<v Speaker 9>Because what you need you actually need to treat that

0:36:36.760 --> 0:36:39.960
<v Speaker 9>AI as one of your employee and as a brand.

0:36:40.200 --> 0:36:43.520
<v Speaker 9>You want the AI to serve your brand, your reputation,

0:36:43.840 --> 0:36:45.840
<v Speaker 9>and meet your business goal. So it needs to be

0:36:45.920 --> 0:36:50.080
<v Speaker 9>trained with a lot of information, information of tens of

0:36:50.160 --> 0:36:53.920
<v Speaker 9>billions of pass interactions with customers, and it's a proprietor

0:36:54.040 --> 0:36:56.799
<v Speaker 9>information that you don't want to provide to the generative AI,

0:36:57.440 --> 0:36:59.560
<v Speaker 9>and that's why they come to us to our platform.

0:36:59.600 --> 0:37:02.800
<v Speaker 9>We have I have done data that is extremely almost

0:37:02.880 --> 0:37:06.040
<v Speaker 9>impossible to replicate given our history and the.

0:37:05.960 --> 0:37:06.960
<v Speaker 3>Breadth of our offering.

0:37:07.400 --> 0:37:10.600
<v Speaker 9>It's also both having it in a very secured environment

0:37:11.040 --> 0:37:14.440
<v Speaker 9>and you have to the domain expertise, so it actually

0:37:14.600 --> 0:37:17.239
<v Speaker 9>raises I would say, the bulio of entry when it

0:37:17.320 --> 0:37:19.960
<v Speaker 9>comes to technology in the space of customer service.

0:37:20.080 --> 0:37:21.960
<v Speaker 2>Gosh ed. It takes me back to the conversation we

0:37:22.000 --> 0:37:24.120
<v Speaker 2>had a couple of months ago with Kathy Wood talking

0:37:24.160 --> 0:37:27.080
<v Speaker 2>about it all being about the power of your proprietary data.

0:37:27.640 --> 0:37:31.120
<v Speaker 2>But also, I mean that isn't to say though, that

0:37:31.239 --> 0:37:35.120
<v Speaker 2>still everyone's coining a term or using and referencing AI,

0:37:35.239 --> 0:37:37.520
<v Speaker 2>no matter what part of the industry or what kind

0:37:37.560 --> 0:37:38.239
<v Speaker 2>of company you are.

0:37:38.320 --> 0:37:41.040
<v Speaker 4>Right now, you make a really interesting point, both on

0:37:41.080 --> 0:37:43.800
<v Speaker 4>proprietary data and referencing the term back.

0:37:44.239 --> 0:37:45.840
<v Speaker 3>I have free time on my hands.

0:37:45.600 --> 0:37:47.320
<v Speaker 4>So I went through every single one of your earnings

0:37:47.320 --> 0:37:52.239
<v Speaker 4>transcripts for the last year seventy four. Mentioned AI in

0:37:52.320 --> 0:37:55.680
<v Speaker 4>the earning school twenty four hours ago. In the same

0:37:55.800 --> 0:38:01.359
<v Speaker 4>quarter a year ago sixteen mentioned to AI the quarter previous,

0:38:01.480 --> 0:38:04.759
<v Speaker 4>Going back to the fourth quarter fifty eight, how much

0:38:04.840 --> 0:38:07.799
<v Speaker 4>pressure are you under to talk a big game around AI.

0:38:08.880 --> 0:38:11.520
<v Speaker 9>I don't think it's a matter of pressure. I think

0:38:11.560 --> 0:38:14.279
<v Speaker 9>that we actually see it in our business. This is

0:38:14.320 --> 0:38:17.440
<v Speaker 9>the type of discussions we have with our customers today.

0:38:17.760 --> 0:38:20.920
<v Speaker 9>You know, our business up until several years ago was

0:38:20.960 --> 0:38:24.120
<v Speaker 9>concentrated more on what we call the contact center, but

0:38:24.239 --> 0:38:27.279
<v Speaker 9>all of a sudden, with AI, we actually covered the

0:38:27.440 --> 0:38:30.839
<v Speaker 9>entire journey of the customer. And we spend the last

0:38:30.840 --> 0:38:34.680
<v Speaker 9>several years deploying and building AI capabilities that are injected

0:38:34.680 --> 0:38:38.160
<v Speaker 9>and infusing our platform, and it is today one of

0:38:38.200 --> 0:38:39.840
<v Speaker 9>the things, one of the two things that are driving

0:38:39.880 --> 0:38:42.480
<v Speaker 9>our business A is the shift to the cloud. That

0:38:42.640 --> 0:38:46.680
<v Speaker 9>is still in the early innings in the customer service part,

0:38:46.760 --> 0:38:50.360
<v Speaker 9>and even earlier than that is the AI. So actually

0:38:50.440 --> 0:38:53.840
<v Speaker 9>we see it as the greatest opportunity we had for

0:38:53.960 --> 0:38:56.640
<v Speaker 9>nights for our company since I remember, and I've been

0:38:56.680 --> 0:38:57.960
<v Speaker 9>with the company for twenty.

0:38:57.719 --> 0:39:00.879
<v Speaker 4>Five years, ROCKI did be on the on the top

0:39:00.920 --> 0:39:03.160
<v Speaker 4>and bottom line. I just give us some guidance going

0:39:03.200 --> 0:39:06.120
<v Speaker 4>forward the rest of this year. What does your customer

0:39:06.320 --> 0:39:08.960
<v Speaker 4>base look like is their confidence to spend right now?

0:39:09.680 --> 0:39:10.799
<v Speaker 3>So we had the.

0:39:10.920 --> 0:39:13.720
<v Speaker 9>Beat both on top line and bottom line, as you've mentioned,

0:39:13.719 --> 0:39:16.279
<v Speaker 9>and we raised the guidance for the for the rest

0:39:16.280 --> 0:39:18.600
<v Speaker 9>of the year. You know, we operate in a space

0:39:18.680 --> 0:39:22.440
<v Speaker 9>that even in this economy, enterprises understand. They see need

0:39:22.480 --> 0:39:26.359
<v Speaker 9>to differentiate and protect their brand, elevate their brand, and

0:39:26.440 --> 0:39:29.759
<v Speaker 9>of course providing out sending experiences to their customers. So

0:39:29.800 --> 0:39:33.040
<v Speaker 9>we are a mission critical solution for them and they

0:39:33.040 --> 0:39:37.919
<v Speaker 9>actually continue to invest and invest even significantly, and that's

0:39:37.920 --> 0:39:39.560
<v Speaker 9>why we raised the guidance.

0:39:39.239 --> 0:39:39.600
<v Speaker 7>For the year.

0:39:40.080 --> 0:39:43.640
<v Speaker 4>Nice CEO name of the company, nice, nice guy to

0:39:43.880 --> 0:39:47.120
<v Speaker 4>Nice CEO, Barack Eyelam, thank you, thank you very much.

0:39:56.160 --> 0:39:58.640
<v Speaker 2>Let's just talk about the founder of SoftBank Group, Masayoshi

0:39:58.640 --> 0:40:01.600
<v Speaker 2>san is now personal on the hook for about five

0:40:01.640 --> 0:40:04.000
<v Speaker 2>point two billion dollars on side deals he set up

0:40:04.040 --> 0:40:06.360
<v Speaker 2>at the company. That's after the company's a vision fund

0:40:06.400 --> 0:40:09.000
<v Speaker 2>Bench Capital. Arm ended the fiscal year with a record

0:40:09.040 --> 0:40:12.920
<v Speaker 2>thirty two billion dollar loss. It's the world's largest technology investor.

0:40:13.080 --> 0:40:16.200
<v Speaker 2>Was look, he's been battered by losses of unlisted startups

0:40:16.200 --> 0:40:19.120
<v Speaker 2>in his portfolio. However, there is one company that he's

0:40:19.160 --> 0:40:22.120
<v Speaker 2>looking to list again. Let's think about how much SoftBank

0:40:22.160 --> 0:40:24.520
<v Speaker 2>is coming. Measuring investor interest in an IPO of its

0:40:24.600 --> 0:40:28.160
<v Speaker 2>chip maker arm Leanna Baker, Bloomberg News US Deal's managing

0:40:28.280 --> 0:40:30.520
<v Speaker 2>editor is here with the details. Of course, the company

0:40:30.520 --> 0:40:32.600
<v Speaker 2>that they took private, now they want to take public

0:40:32.640 --> 0:40:34.520
<v Speaker 2>and what is the interest site for it?

0:40:35.480 --> 0:40:38.000
<v Speaker 12>So it's funny that you mentioned that they were facing

0:40:38.080 --> 0:40:40.799
<v Speaker 12>losses of thirty two billion, because that's almost what they

0:40:40.840 --> 0:40:43.960
<v Speaker 12>spent on ARM back in twenty sixteen, and now it's

0:40:44.000 --> 0:40:47.479
<v Speaker 12>time to cash out. You might remember that ARM tried

0:40:47.520 --> 0:40:50.840
<v Speaker 12>to sell to Nvidia two years ago. That deal never happened,

0:40:51.440 --> 0:40:54.080
<v Speaker 12>So this is really a chance for SoftBank to recoup

0:40:54.480 --> 0:40:57.279
<v Speaker 12>some losses for the rest of their portfolio. And ARM

0:40:57.360 --> 0:40:59.759
<v Speaker 12>right now could be worth anywhere from thirty billion to

0:40:59.800 --> 0:41:02.719
<v Speaker 12>set and debillion. Since it's still early, we don't know

0:41:02.760 --> 0:41:05.160
<v Speaker 12>where the valuation will come in. What we do know

0:41:05.280 --> 0:41:07.320
<v Speaker 12>is that this IPO is likely going to be the

0:41:07.320 --> 0:41:09.800
<v Speaker 12>biggest of the year, certainly the biggest in the tech space.

0:41:10.760 --> 0:41:12.920
<v Speaker 4>It's interesting, I remember when we went through the Rivian

0:41:13.000 --> 0:41:16.120
<v Speaker 4>IPO process in November twenty twenty one, which seems like

0:41:16.160 --> 0:41:19.200
<v Speaker 4>a lifetime ago now, but you get big institutionals buying

0:41:19.239 --> 0:41:22.480
<v Speaker 4>blocks of shares, there was demand. Do we have any

0:41:22.520 --> 0:41:26.040
<v Speaker 4>guide of how interested those institutionals are for this one?

0:41:27.640 --> 0:41:31.399
<v Speaker 12>So these are tests, the water meetings is what they're called.

0:41:31.440 --> 0:41:34.440
<v Speaker 12>So these aren't, you know, a formal road show we're

0:41:34.480 --> 0:41:37.919
<v Speaker 12>going to see those closer to after Labor Day when

0:41:38.200 --> 0:41:41.520
<v Speaker 12>this IPO is looking to launch. So now these meetings

0:41:41.520 --> 0:41:44.000
<v Speaker 12>are very early. They're just trying to get an indication

0:41:44.600 --> 0:41:47.200
<v Speaker 12>of where we could see that valuation come in. I

0:41:47.239 --> 0:41:49.719
<v Speaker 12>mentioned it's a huge range right now, so probably in

0:41:49.719 --> 0:41:52.560
<v Speaker 12>the next few weeks, ARM will have some sense of

0:41:52.600 --> 0:41:55.120
<v Speaker 12>where things are. But again it is early, and the

0:41:55.200 --> 0:41:57.600
<v Speaker 12>IPO process has changed in the past few years. It

0:41:57.680 --> 0:42:00.560
<v Speaker 12>used to be that these meetings didn't happen, but IPOs

0:42:00.600 --> 0:42:03.280
<v Speaker 12>tend to run smoother when you bring an investors early.

0:42:04.040 --> 0:42:06.200
<v Speaker 2>Many of those Brits still smarting about the fact that

0:42:06.200 --> 0:42:08.000
<v Speaker 2>it's not going to be listening in London quite as

0:42:08.040 --> 0:42:10.480
<v Speaker 2>soon as they hope. Lou mostly Ana Baker absolutely brilliant,

0:42:10.480 --> 0:42:12.880
<v Speaker 2>Thank you so much for bringing us that. And interesting,

0:42:12.960 --> 0:42:15.160
<v Speaker 2>isn't it ed As we talk about just the private

0:42:15.239 --> 0:42:18.400
<v Speaker 2>valuations around AI. We talked to publicly traded companies thinking

0:42:18.400 --> 0:42:21.240
<v Speaker 2>about AI, and then we think about companies that totally

0:42:21.320 --> 0:42:23.319
<v Speaker 2>different but in the chip designing business that are looking

0:42:23.320 --> 0:42:25.319
<v Speaker 2>at the list. It feels a more buoyant kind of

0:42:25.320 --> 0:42:26.640
<v Speaker 2>conversation we're having at the moment.

0:42:27.160 --> 0:42:29.840
<v Speaker 4>Yeah, like ARM is an AI adjacent company, the chips

0:42:29.880 --> 0:42:32.799
<v Speaker 4>IT designs are at the cutting edge of technology. Will

0:42:32.800 --> 0:42:34.560
<v Speaker 4>it be a player in AI? There is a thought

0:42:34.840 --> 0:42:38.280
<v Speaker 4>school of thought that says yes. Look at the banks, Goldman, JP, Morgan, Barclay's.

0:42:38.440 --> 0:42:41.440
<v Speaker 4>According to sources, what did Leanna say? A smooth IPOs

0:42:41.480 --> 0:42:42.080
<v Speaker 4>what we're hoping for?

0:42:42.360 --> 0:42:42.600
<v Speaker 7>M h.

0:42:43.040 --> 0:42:44.880
<v Speaker 2>Well, We've got so much more to discuss. That's the

0:42:44.960 --> 0:42:47.480
<v Speaker 2>end of this edition of Bloomberg Technology. But what's our next?

0:42:47.640 --> 0:42:47.680
<v Speaker 12>Ed?

0:42:48.320 --> 0:42:50.600
<v Speaker 4>Well, you can check out the podcast or join us

0:42:50.640 --> 0:42:54.080
<v Speaker 4>on Twitter spaces right now on Twitter, do it.

0:42:54.360 --> 0:42:55.200
<v Speaker 3>This is Bloomberg