WEBVTT - iPhone Sales Drop and APEC Kicks Off in San Francisco

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<v Speaker 1>From Mahard where Innovation, money and power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlove.

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<v Speaker 3>I'm Caroline Heine blombergsweltad quarters in New York and I

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<v Speaker 3>met Ludlow in San Francisco.

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<v Speaker 2>This is Bloomberg Technology coming up.

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<v Speaker 3>We'll have full market coverage ahead. Inflation, those worries they

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<v Speaker 3>call the rate hike bets come down? Will this fuel

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<v Speaker 3>still the tech sector rally?

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<v Speaker 2>As apet gets underway in San Francisco, tech executives look

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<v Speaker 2>to meet with China's g will bring you the detail.

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<v Speaker 3>And Apple's largest assembler of iPhones, well, it warns of

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<v Speaker 3>a sales drop as demand concerns linger in the smartphone market.

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<v Speaker 2>There's a lot happening in the show today, and the

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<v Speaker 2>stocks behind me kind of reflect the stories we'll cover.

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<v Speaker 2>We're going to look at fox Conn in its earnings,

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<v Speaker 2>the main contract manufacturer that assembles the iPhone, a worrying outlook,

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<v Speaker 2>but Apple actually up moving higher. Grinder had strong earnings

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<v Speaker 2>to stock up significantly. We will speak to the Grinder CEO,

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<v Speaker 2>and then finally Alphabet, parent company of Google. We're going

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<v Speaker 2>to go to our reporter to talk about what YouTube's

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<v Speaker 2>doing in the context of AI generated content and content moderation.

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<v Speaker 2>In terms of the stock story, there is one name

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<v Speaker 2>that is a big story in its own right, and

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<v Speaker 2>that is in Vidia Video Shares around one and a

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<v Speaker 2>half percent in the session, but currently up for a

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<v Speaker 2>tenth straight day, and if they close highering in the green,

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<v Speaker 2>that ten day win streak matches the record that in

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<v Speaker 2>Vidia set in December of twenty sixteen. It is the

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<v Speaker 2>best performing stock on the S and P five hundred

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<v Speaker 2>year to date. It is the best performing stock on

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<v Speaker 2>the Nasdaq one hundred year to date, and its gain

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<v Speaker 2>is almost two hundred and forty percent year to date.

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<v Speaker 2>The story in the near term has been around AI

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<v Speaker 2>right in their products announcements, but also in this session

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<v Speaker 2>getting a boost from that call of an expected inflation

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<v Speaker 2>print is paused.

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<v Speaker 3>The so called Magnificent seven, those key stocks that are

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<v Speaker 3>just driven some of the rally throughout the year. Is

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<v Speaker 3>it still times you're buying into them? Well, please to

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<v Speaker 3>welcome the perfect guests Leafetangla Investment CIO Nancy Tangla, who

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<v Speaker 3>I think has some key thoughts on really whether there's

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<v Speaker 3>still fuel to the fire of the tech rally. Is

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<v Speaker 3>there when you're getting these sorts of information prints.

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<v Speaker 4>Oh absolutely, I'm in the market loves it.

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<v Speaker 5>But let's also not forget that these stocks have been

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<v Speaker 5>delivering all the way through the rate hype regime from

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<v Speaker 5>the Fed, and then again with inflation higher. We have

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<v Speaker 5>argued that inflation comes down symmetrically, but not necessarily literally

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<v Speaker 5>so linearly. So I think that this is a good number,

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<v Speaker 5>not a huge surprise, and we'll see what happens in December.

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<v Speaker 5>But you know, Caroline, I wrote a piece that this

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<v Speaker 5>market is analogous to nineteen ninety, where we had inflation above.

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<v Speaker 4>Three percent for the entire.

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<v Speaker 5>Decade, yields between five and eight percent on average for

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<v Speaker 5>the entire decade, a war, a recession credit like we

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<v Speaker 5>have now. And then in addition to that, the indices

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<v Speaker 5>we're up, you know, four hundred percent over four hundred

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<v Speaker 5>percent for the Dow in S ANDP and eight over

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<v Speaker 5>eight hundred percent for the Nasdaq.

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<v Speaker 2>The nancy. To be clear in your mind, have we

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<v Speaker 2>hit peak rate.

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<v Speaker 6>Ed?

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<v Speaker 5>I think so, But that doesn't mean we're not going

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<v Speaker 5>to continue to see volatility. I think you know, we've

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<v Speaker 5>never had this much supply come on so quickly, and

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<v Speaker 5>so I think we'll continue to get you know, the

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<v Speaker 5>market will react to bits of news. We'll see what

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<v Speaker 5>the PPI says, But in general, I think we're kind of.

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<v Speaker 3>There, going back to that nineties reminiscing and perhaps echo

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<v Speaker 3>that we currently see in the current market. Nancy, is

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<v Speaker 3>it that therefore we can continue to run on the

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<v Speaker 3>same sort of seven names that the market has loved

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<v Speaker 3>us far, or do you need to get broader, wider

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<v Speaker 3>and where you anticipate some of the gains are going

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<v Speaker 3>to come from.

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<v Speaker 5>I do think you need to get wider, Caroline. I

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<v Speaker 5>mean I think we need industrials to work again, maybe energy.

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<v Speaker 5>I think financials have to do some of the heavy lifting.

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<v Speaker 5>But in general, if you look at the Magnificent Seven,

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<v Speaker 5>this is not my work, it's Jason Trennard said strateigis,

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<v Speaker 5>and he separated it out as its own sector. Margins

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<v Speaker 5>are growing faster, earnings and revenue growth growing faster than

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<v Speaker 5>the rest of market and rest of technology, and so

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<v Speaker 5>I think you have to give them the tip of

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<v Speaker 5>the hat and say I may not want to own

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<v Speaker 5>all of them, but I want to own some of them.

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<v Speaker 5>And I need to have them in my portfolio because

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<v Speaker 5>the tailwinds, the secular tailwinds, are at their back.

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<v Speaker 2>Speaking of tailwinds, Nancy, you heard me talk about Nvidia

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<v Speaker 2>at the top of the program, up for a tenth

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<v Speaker 2>straight day, matching it's record run that it's set in

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<v Speaker 2>twenty sixteen. It is the best performing stock on both

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<v Speaker 2>S and B five hundred and as that one hundred.

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<v Speaker 2>What do you make of that run? What is your

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<v Speaker 2>attitude towards it?

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<v Speaker 5>I wished I owned it.

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<v Speaker 4>It was never cheap enough for us.

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<v Speaker 5>It was for about twenty minutes on one day, and

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<v Speaker 5>then we just missed it. I think importantly, what you

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<v Speaker 5>know from last quarters earnings is that the multiple actually

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<v Speaker 5>went down despite the stock running up.

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<v Speaker 4>So I think this is one of those stocks like.

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<v Speaker 5>Amazon a decade ago, like Walmart two or three decades ago,

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<v Speaker 5>that you just step aside and let it run and

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<v Speaker 5>hopefully you own it. We owned Broadcom, so we you know,

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<v Speaker 5>we've had some of the benefits of AI chip and

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<v Speaker 5>cloud computing. We own a lot of the Magnificent seven,

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<v Speaker 5>we just don't own that name. I think if you

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<v Speaker 5>own it, you keep it and let it run, and

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<v Speaker 5>if you don't own it.

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<v Speaker 4>You wait on all of these stocks for pullbacks.

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<v Speaker 3>And what would be the spalk of a pullback do

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<v Speaker 3>you think, Nancie, Well, I.

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<v Speaker 5>Think we got one in October, so in September, I

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<v Speaker 5>think if we and that was based on you know,

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<v Speaker 5>the FED saying they were going to be higher for longer,

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<v Speaker 5>But I would argue in the medium term that doesn't

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<v Speaker 5>matter because we've had much higher rates and strong investment performance,

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<v Speaker 5>particularly from technology, and then I think if we get

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<v Speaker 5>conflicting data and we just continue to hear the FED speak,

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<v Speaker 5>the market is still reacting to that on a daily basis.

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<v Speaker 5>But I would point out that the reason I think

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<v Speaker 5>you want to own these stocks for the long term

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<v Speaker 5>is that in periods of tight labor markets, and they're

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<v Speaker 5>historically been three or four but one again that's mostly analogous,

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<v Speaker 5>which is around the eighties nineties, these stocks, the spend

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<v Speaker 5>in technology has gone up, and then these stocks have outperformed.

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<v Speaker 4>So I don't think the trade's over.

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<v Speaker 5>Someday it will be, but I think for now you

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<v Speaker 5>do want to wait for volatility, maybe a week earnings report,

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<v Speaker 5>a FED another FED speak period where we get you know,

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<v Speaker 5>some conflicting data like we did from pal meeting.

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<v Speaker 4>He was a little more dubvish.

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<v Speaker 5>Last speech he was less so, and the market took

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<v Speaker 5>into heart those are your times.

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<v Speaker 4>That's the time when you stepped in.

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<v Speaker 3>Stepping in two well and in videos we're just hearing

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<v Speaker 3>from ed is at more than two hundred percent. Microsoft

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<v Speaker 3>just hugely outperformed, so has the likes of even Meta

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<v Speaker 3>in this year of efficiency. Nancy, can you talk about

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<v Speaker 3>if there's any consistency on what you're seeing in some

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<v Speaker 3>of the companies that you like. Is there anything that

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<v Speaker 3>makes them stand out uniquely that therefore once you make

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<v Speaker 3>to add because I know you take individual names and

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<v Speaker 3>bring them to us.

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<v Speaker 4>Yeah, so I'm happy to do that.

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<v Speaker 5>So I think I don't know that you would necessarily

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<v Speaker 5>recall this, but we were adding to the group blast fall.

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<v Speaker 5>There was not a good piece of news to be found,

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<v Speaker 5>but they were slowly and quietly delivering strong earnings growth.

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<v Speaker 5>So the names that are in our twelve Best Ideas

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<v Speaker 5>portfolio are Microsoft, strong management team. As you'res taking share,

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<v Speaker 5>they've got they're going to monetize AI. We're seeing them

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<v Speaker 5>cram it into every nick and cranny of offices and

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<v Speaker 5>every other aspect of their business. The deal went through

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<v Speaker 5>with Activision, they launched three sixty five co pilot. I

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<v Speaker 5>think you're going to see this company continue to take

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<v Speaker 5>share and dominate.

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<v Speaker 4>And it's been a you know, it's an obvious.

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<v Speaker 5>Name, but I don't think you want to walk away

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<v Speaker 5>from it at these levels. Adobe is the unsung hero

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<v Speaker 5>of AI. It's also a good management team. That is

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<v Speaker 5>our theme. We paid very close attention to management. I

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<v Speaker 5>think that's the name you want to buy on pullbacks.

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<v Speaker 5>It's a little rich right now service now I've talked

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<v Speaker 5>about before on your program. Bill McDermott delivered a beat

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<v Speaker 5>beaten Rays last quarter, and he's a great salesman and

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<v Speaker 5>he knows how to run the business. They are taking

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<v Speaker 5>it spend away from other providers because they're in the

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<v Speaker 5>sweet spot of navigating cloud computing and generative AI computing.

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<v Speaker 4>And then Amazon.

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<v Speaker 5>I think Tony Jasse got Tim cooked when he took over.

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<v Speaker 5>I bought Apple after Tim Cook was heralded as no

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<v Speaker 5>Steve Jobs, and that was in about twenty twelve to

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<v Speaker 5>twenty thirteen. We were adding to our Amazon last year.

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<v Speaker 5>I think you can still buy it here. He has

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<v Speaker 5>figured it out. He's cut costs, and we're paying very

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<v Speaker 5>close attention to the healthcare portion of their business. But

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<v Speaker 5>the cloud business is still growing remarkably. I think that's

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<v Speaker 5>the name you just buy and you put it away.

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<v Speaker 2>Nancy, you didn't mention Mark Zuckerberg. You mentioned everyone else.

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<v Speaker 2>Meta is a magnificant, magnificent seven stock. Do you hold

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<v Speaker 2>Zuckerberg in the same leadership bracket as those No, So.

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<v Speaker 4>We owned it many years ago.

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<v Speaker 5>We described ourselves as reluctant shareholders. We sold it at

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<v Speaker 5>levels at about current levels and a little bit higher.

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<v Speaker 4>We missed getting back in.

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<v Speaker 5>But as with Google, though, we do own some of Google,

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<v Speaker 5>not in our twelve Best Ideas portfolios, as the names

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<v Speaker 5>I just discussed were. But we don't like the two

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<v Speaker 5>share class. It's really an advertising business. I think the

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<v Speaker 5>metamist step and the spending at both companies needs to

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<v Speaker 5>be rained in. With Google, we're a little more optimistic

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<v Speaker 5>because we like Ruth Kretts in the new role as president,

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<v Speaker 5>but I know you can still make money on it.

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<v Speaker 5>I just think there's better places and more interesting places

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<v Speaker 5>to be, and I don't like I haven't really been

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<v Speaker 5>thrilled with the leadership. Even though the stock price is

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<v Speaker 5>delivered and they cut costs.

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<v Speaker 4>That's great. You can only do that for so long.

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<v Speaker 3>Nancy. We always love you coming here giving us our

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<v Speaker 3>straight talk. Talking about the individual names as well, Nancy

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<v Speaker 3>Tenglo Investments. Always great to catch up with you. Thank

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<v Speaker 3>you very much. Indeed. Meanwhile, speaking of CEOs in San Francisco,

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<v Speaker 3>all eyes are on APEC has lead us on the

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<v Speaker 3>world of tech attend hopeful in fact for an audience

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<v Speaker 3>with one China President Xi Jinping. In fact, CEOs of

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<v Speaker 3>Microsoft City, Tesla, they're all looking to meet with the president.

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<v Speaker 3>She and according to sources, he's even expected to hold

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<v Speaker 3>a dinner with some executives for many corporations that the

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<v Speaker 3>agenda is simple. They're ready to get back to business

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<v Speaker 3>in China.

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<v Speaker 2>End and part of the agenda for Jijingping to meet

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<v Speaker 2>with President Biden is to announce an agreement that would

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<v Speaker 2>see Beijing crackdown on the manufacturer and export of fentanyl.

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<v Speaker 2>According to sources, sentinal crisis is something I discussed with

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<v Speaker 2>San Francisco Mayor London Breed have listen.

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<v Speaker 6>Just to work with the US and to ensure that

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<v Speaker 6>the resources that are being sent out of China that

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<v Speaker 6>come into either the US or Mexico are cut off

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<v Speaker 6>to the fullest extent possible, that we work together in

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<v Speaker 6>order to ensure that this deadly poison that is killing

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<v Speaker 6>people in San Francisco in significant numbers and all over

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<v Speaker 6>the country, that we're able to combat this to stop it.

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<v Speaker 2>So San Francisco, Carrie becomes the center of the US

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<v Speaker 2>China relationship this week, right the social issue of fentanyl,

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<v Speaker 2>the supply chain for that that we discussed, and then

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<v Speaker 2>all of these CEOs who basically say, let's get back

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<v Speaker 2>to good terms with China.

0:11:48.000 --> 0:11:50.520
<v Speaker 3>And it's interesting who might likely be there, And of

0:11:50.559 --> 0:11:53.640
<v Speaker 3>course we know Tesla has key supply chain issue with Shanghaim,

0:11:53.679 --> 0:11:56.959
<v Speaker 3>particularly in China. More broadly, what was interesting sort of

0:11:57.040 --> 0:11:59.040
<v Speaker 3>who's not there? And I know Tim Cook's just been

0:11:59.080 --> 0:12:02.720
<v Speaker 3>to China himself. Notable that as like a California executive,

0:12:02.760 --> 0:12:05.680
<v Speaker 3>not their metal we understand, of course, stunning to sell

0:12:05.720 --> 0:12:08.400
<v Speaker 3>their VR equipment in China. Interesting that Zucker isn't there either.

0:12:09.520 --> 0:12:11.680
<v Speaker 2>Yeah, and AI again is going to be a talking

0:12:11.720 --> 0:12:13.960
<v Speaker 2>point because while there's some kind of move forward on

0:12:14.000 --> 0:12:17.439
<v Speaker 2>the relationship, in the background, used to have US technology

0:12:17.480 --> 0:12:21.040
<v Speaker 2>export curves on chips to China that have directly impacted

0:12:21.200 --> 0:12:23.920
<v Speaker 2>the AI supply chain. So a big week ahead.

0:12:24.280 --> 0:12:26.800
<v Speaker 3>I'm sure it feels pretty busy where you are. Meanwhile,

0:12:26.840 --> 0:12:29.840
<v Speaker 3>coming up, look Iphonemaker on Hi public arm of Fox

0:12:29.920 --> 0:12:33.160
<v Speaker 3>gone growing concerns, sales may drop in the current quarter.

0:12:33.600 --> 0:12:36.160
<v Speaker 3>We'll have more on its tep it out look. That's

0:12:36.240 --> 0:12:39.040
<v Speaker 3>next for the look. And you're looking at some particular movers.

0:12:39.880 --> 0:12:43.800
<v Speaker 2>Yeah. Fiska, the ev maker, down eighteen point two percent

0:12:43.880 --> 0:12:46.439
<v Speaker 2>over the last couple of days, twenty four percent in

0:12:46.480 --> 0:12:49.079
<v Speaker 2>this session, delayed its ten Q It has got all

0:12:49.160 --> 0:12:53.720
<v Speaker 2>kind of material weakness and accounting issues, revenues missing estimates,

0:12:53.720 --> 0:12:57.760
<v Speaker 2>and basically it's behind schedule on delivering its contract manufactured

0:12:57.840 --> 0:13:00.679
<v Speaker 2>evs a name we continue to track. This is Bloom

0:13:00.679 --> 0:13:13.880
<v Speaker 2>by Technology. Okay, time for talking tech and first up

0:13:14.040 --> 0:13:18.240
<v Speaker 2>see Southeast Asia's biggest internet company is reeling from profit loss.

0:13:18.280 --> 0:13:21.320
<v Speaker 2>In its third quarter, the single war based company posted

0:13:21.320 --> 0:13:24.000
<v Speaker 2>a net loss of one hundred and forty nine million dollars,

0:13:24.040 --> 0:13:26.480
<v Speaker 2>compared with a profit of three hundred and twenty two

0:13:26.559 --> 0:13:29.240
<v Speaker 2>million dollars the previous quarter. The e commerce growth in

0:13:29.240 --> 0:13:32.760
<v Speaker 2>the region has been pressured by macro conditions and intense

0:13:32.800 --> 0:13:37.160
<v Speaker 2>competition in the sector, and Snap is reportedly teaming up

0:13:37.160 --> 0:13:40.240
<v Speaker 2>with Amazon to let its users shop for products directly

0:13:40.480 --> 0:13:43.480
<v Speaker 2>from ads on the Snapchat app. Shares arising after The

0:13:43.520 --> 0:13:47.280
<v Speaker 2>Information reported that the deals being launched for US customers.

0:13:47.480 --> 0:13:49.800
<v Speaker 2>This comes after last week's news of a similar deal

0:13:49.800 --> 0:13:53.960
<v Speaker 2>with Meta for shopping on Facebook and Instagram. Plus Huawei

0:13:54.000 --> 0:13:58.040
<v Speaker 2>and Jiaomia leading the resurgence in China's smartphone market. Phone

0:13:58.040 --> 0:14:00.559
<v Speaker 2>sales are up eleven percent in the first four weeks

0:14:00.559 --> 0:14:03.600
<v Speaker 2>of last month compared to the same period a year ago,

0:14:03.679 --> 0:14:08.040
<v Speaker 2>according to Counterpoint Research. The domestic brands picked up the slack,

0:14:08.480 --> 0:14:11.880
<v Speaker 2>while Apple's latest set of phones had an unusually muted

0:14:11.960 --> 0:14:13.679
<v Speaker 2>debut in China so far.

0:14:13.840 --> 0:14:17.240
<v Speaker 3>Carol, and let's stick on that muted demand for some

0:14:17.320 --> 0:14:21.200
<v Speaker 3>of Apple's iPhones and what that means for its key manufacturer, Honheim.

0:14:21.360 --> 0:14:25.000
<v Speaker 3>It's actually been revising its outlook after profits they'd beat expectations,

0:14:25.040 --> 0:14:27.680
<v Speaker 3>but revenue still under pressure. Remember this is the public

0:14:27.720 --> 0:14:29.480
<v Speaker 3>arm of Fox Cone and it's been warning that sales

0:14:29.520 --> 0:14:32.960
<v Speaker 3>may four. This demand for the iPhone remains come in flux.

0:14:33.200 --> 0:14:35.720
<v Speaker 3>Frankly to say that we're joined by Mandinkxing Bloomberg Intelligence

0:14:35.720 --> 0:14:39.760
<v Speaker 3>senior technology analysts. And perhaps not that surprising given that

0:14:39.840 --> 0:14:42.320
<v Speaker 3>we know that there's sort of a cultural backlash somewhat

0:14:42.360 --> 0:14:44.960
<v Speaker 3>against Apple use of the phones in government as well.

0:14:45.000 --> 0:14:47.040
<v Speaker 3>But how much is it starting to be reflected in

0:14:47.080 --> 0:14:47.760
<v Speaker 3>the supply chain?

0:14:48.040 --> 0:14:51.080
<v Speaker 7>Well, so think of you know, how these companies are

0:14:51.080 --> 0:14:54.640
<v Speaker 7>connected TSMC and Fox Cone and if you see weakness,

0:14:54.680 --> 0:14:58.920
<v Speaker 7>you know, with TSMC calling out PCs and smartphones continuing

0:14:58.960 --> 0:15:01.520
<v Speaker 7>to be weak, it's not a surprise that, you know,

0:15:01.680 --> 0:15:03.600
<v Speaker 7>Fox can't did the same. End at the end of

0:15:03.640 --> 0:15:06.840
<v Speaker 7>the day, the consumer electronics market, we don't know if

0:15:06.840 --> 0:15:10.520
<v Speaker 7>it is bottom. Everyone keeps talking about it. With PCs,

0:15:10.560 --> 0:15:12.840
<v Speaker 7>we saw a couple of data points this quarter that

0:15:13.080 --> 0:15:16.160
<v Speaker 7>suggested a bottom, but we don't know that yet. And

0:15:16.200 --> 0:15:20.280
<v Speaker 7>I think this is a confirmation that consumer maybe week,

0:15:20.400 --> 0:15:23.160
<v Speaker 7>you know, in the first half of next year as well.

0:15:23.400 --> 0:15:25.120
<v Speaker 2>A lot of this man deep is like reading the

0:15:25.160 --> 0:15:28.640
<v Speaker 2>tea leaves of third party data and suppliers.

0:15:28.800 --> 0:15:28.960
<v Speaker 1>Right.

0:15:29.000 --> 0:15:31.600
<v Speaker 2>Go back to Apple's earnings and Tim Cook talked about

0:15:31.840 --> 0:15:34.520
<v Speaker 2>when he visited the country, they claim to have the

0:15:34.560 --> 0:15:38.200
<v Speaker 2>top four smartphone handsets in a market that they saw

0:15:38.280 --> 0:15:41.160
<v Speaker 2>as contracting, and you kind of draw the conclusion. What

0:15:41.520 --> 0:15:45.000
<v Speaker 2>does that mean you're taking market share? What do we

0:15:45.080 --> 0:15:47.800
<v Speaker 2>wait for to know what's really happening with Apple on

0:15:47.880 --> 0:15:48.840
<v Speaker 2>the data side.

0:15:49.280 --> 0:15:52.400
<v Speaker 7>I mean, look with Apple, clearly you know the iPhone

0:15:52.520 --> 0:15:56.000
<v Speaker 7>fifteen isn't going to be a big upgrade cycle, That's

0:15:56.000 --> 0:15:58.320
<v Speaker 7>what it seems like. And everyone is talking about what

0:15:58.360 --> 0:16:01.000
<v Speaker 7>they can do at the chip level to really drive that,

0:16:01.080 --> 0:16:05.560
<v Speaker 7>you know, gen AI kind of adoption at the edge level.

0:16:05.600 --> 0:16:09.760
<v Speaker 7>But look for fox Con, it's more about what else

0:16:09.800 --> 0:16:13.360
<v Speaker 7>can they diversify with? And there is demand for AI servers.

0:16:13.400 --> 0:16:16.760
<v Speaker 7>In fact, in video when they are making these Genei servers,

0:16:17.000 --> 0:16:20.280
<v Speaker 7>they're having TSMC make the chip and fox Con is

0:16:20.320 --> 0:16:24.320
<v Speaker 7>the assembler. So clearly there is demand when it comes

0:16:24.360 --> 0:16:27.840
<v Speaker 7>to AI servers. I think it's just the consumer side

0:16:27.920 --> 0:16:31.720
<v Speaker 7>is continues to be weak, and these companies, all of

0:16:31.720 --> 0:16:35.880
<v Speaker 7>them TSMC, fox Con, have a pretty sizeable consumer explosure.

0:16:35.920 --> 0:16:38.240
<v Speaker 7>In fact, I would say it's almost sixty percent of

0:16:38.280 --> 0:16:41.200
<v Speaker 7>their business, whereas AI servers is still less than five

0:16:41.240 --> 0:16:43.160
<v Speaker 7>percent of their overall footprint.

0:16:44.000 --> 0:16:46.840
<v Speaker 2>All right, man, deep seeking it to Bloomberg Intelligence, Thank.

0:16:46.680 --> 0:16:57.120
<v Speaker 3>You shares a grinder absolutely popping. Today. Let's talk about

0:16:57.200 --> 0:16:59.800
<v Speaker 3>the social the dating app as it raises its soliet guidance,

0:17:00.120 --> 0:17:02.400
<v Speaker 3>a third quarter revenue that's higher than thirty nine percent

0:17:02.440 --> 0:17:04.240
<v Speaker 3>year every year. But now I'm on the CEO of

0:17:04.280 --> 0:17:06.480
<v Speaker 3>Kind George Harrison. George is great to have you on

0:17:06.520 --> 0:17:09.159
<v Speaker 3>the show, and just this growth is managing to be

0:17:10.080 --> 0:17:12.240
<v Speaker 3>what's driving it at the moment. Is it all about subscriptions.

0:17:13.320 --> 0:17:16.200
<v Speaker 8>It's almost all coming from subscriptions and add on products.

0:17:16.280 --> 0:17:19.000
<v Speaker 8>We did have a great quarter growth, third nine percent

0:17:19.080 --> 0:17:20.840
<v Speaker 8>year of a year, and a lot of it had

0:17:20.840 --> 0:17:24.000
<v Speaker 8>to do with us launching a weekly pricing option. Users

0:17:24.000 --> 0:17:26.199
<v Speaker 8>have been asking for a lower priced tier that they

0:17:26.240 --> 0:17:28.359
<v Speaker 8>could use to entry point into the product on a

0:17:28.359 --> 0:17:31.920
<v Speaker 8>paying basis, and we launched that you know, earlier this year,

0:17:31.960 --> 0:17:33.879
<v Speaker 8>and the results of that have been really really positive,

0:17:33.920 --> 0:17:37.919
<v Speaker 8>So really happy about that. Now Grinder is really under monetized.

0:17:37.920 --> 0:17:40.840
<v Speaker 8>Our conversion to paying customers is much lower than our

0:17:40.880 --> 0:17:43.080
<v Speaker 8>peer set, partly because we've never really focused on that.

0:17:43.119 --> 0:17:45.040
<v Speaker 8>It was all about offering a lot of free features

0:17:45.160 --> 0:17:47.560
<v Speaker 8>versus paying features. And now as we transition to offering

0:17:47.600 --> 0:17:49.879
<v Speaker 8>more paying features, I think we're seeing really positive results

0:17:50.200 --> 0:17:52.080
<v Speaker 8>and there's a lot more room to continue with that

0:17:52.320 --> 0:17:55.280
<v Speaker 8>because obviously, where like half the pair penetration that somewhere

0:17:55.320 --> 0:17:56.320
<v Speaker 8>up years are so.

0:17:56.359 --> 0:17:59.560
<v Speaker 3>Let's talk about thirteen and a half million average monthly users.

0:18:00.200 --> 0:18:02.679
<v Speaker 3>Then if you're managing to continue to grow, do you

0:18:02.760 --> 0:18:05.480
<v Speaker 3>spend do you invest? Is it more about marketing? Is

0:18:05.520 --> 0:18:08.439
<v Speaker 3>it about branding? Is about more actually the underlying product

0:18:08.480 --> 0:18:10.760
<v Speaker 3>and perhaps into weaving AI within it.

0:18:11.440 --> 0:18:14.199
<v Speaker 8>Yeah, almost all of our investments are around people to

0:18:14.280 --> 0:18:17.399
<v Speaker 8>build technology and product because we have a ton of

0:18:17.440 --> 0:18:20.600
<v Speaker 8>opportunity to create new features that yous want. For example,

0:18:20.640 --> 0:18:22.359
<v Speaker 8>right now we're working on teleport, which is going to

0:18:22.440 --> 0:18:24.679
<v Speaker 8>let users show themselves in different market from the one

0:18:24.720 --> 0:18:27.560
<v Speaker 8>they're in today, something that you have been asking for

0:18:27.560 --> 0:18:30.800
<v Speaker 8>for a long time. We spend virtually no money on marketing.

0:18:31.480 --> 0:18:34.480
<v Speaker 8>It's like less than one percent of our revenue this year,

0:18:35.280 --> 0:18:37.440
<v Speaker 8>and we'll expect that number to go up a little

0:18:37.440 --> 0:18:39.040
<v Speaker 8>bit as we focus on our brand to tell our

0:18:39.119 --> 0:18:41.240
<v Speaker 8>story a little better, but it's going to be pretty minor.

0:18:41.680 --> 0:18:44.520
<v Speaker 8>We don't do a pair acquisition. We're really fortunate that

0:18:44.920 --> 0:18:47.800
<v Speaker 8>it's the product and the fact that people already know

0:18:47.800 --> 0:18:50.320
<v Speaker 8>about us that drives that use a growth are My

0:18:50.440 --> 0:18:52.520
<v Speaker 8>growth is also really strong and has been for a

0:18:52.560 --> 0:18:55.240
<v Speaker 8>long time now, but it's all driven by word of

0:18:55.320 --> 0:18:58.760
<v Speaker 8>mouth and by top of funnel user products that we build,

0:18:59.040 --> 0:19:01.520
<v Speaker 8>like albums for exams that went live last year. We

0:19:01.520 --> 0:19:04.600
<v Speaker 8>added video to albums this year, and you know, users

0:19:04.600 --> 0:19:06.760
<v Speaker 8>have loved that. Over a billion albums shared in less

0:19:06.800 --> 0:19:09.120
<v Speaker 8>than a year, which is really fantastic.

0:19:10.400 --> 0:19:14.520
<v Speaker 2>So, George, forty percent top line growth, twenty percent paying

0:19:14.600 --> 0:19:18.399
<v Speaker 2>user growth, and then eight percent active user growth. What

0:19:18.440 --> 0:19:21.720
<v Speaker 2>should that tell us about who's using the platform and

0:19:21.800 --> 0:19:22.960
<v Speaker 2>how they're using it?

0:19:24.040 --> 0:19:25.520
<v Speaker 8>Yeah, so, I mean, I think it's telling you that

0:19:25.600 --> 0:19:28.080
<v Speaker 8>as we launch more features that people want to pay for,

0:19:28.400 --> 0:19:31.440
<v Speaker 8>a larger percentage of people will convert to becoming pain customers.

0:19:31.480 --> 0:19:32.879
<v Speaker 8>And we have a lot more to do on that

0:19:32.960 --> 0:19:35.840
<v Speaker 8>over the next couple of years. And then we also

0:19:35.920 --> 0:19:38.240
<v Speaker 8>know that younger people come back to the platform. Right,

0:19:38.480 --> 0:19:40.760
<v Speaker 8>Unlike a lot of other social products that have been

0:19:40.800 --> 0:19:44.119
<v Speaker 8>replaced by one platform by the next, etc. Right, TikTok

0:19:44.200 --> 0:19:47.800
<v Speaker 8>replacing Instagram and so forth, that hasn't really happened in

0:19:47.840 --> 0:19:50.520
<v Speaker 8>our space. The users have been coming back to Grinder

0:19:50.720 --> 0:19:54.880
<v Speaker 8>as they've kind of become eighteen plus, in part because

0:19:55.040 --> 0:19:57.080
<v Speaker 8>they know that that's where everybody else in that community is.

0:19:57.119 --> 0:19:58.920
<v Speaker 8>And so the community aspect of brind It really helps

0:19:58.920 --> 0:20:01.240
<v Speaker 8>with that, and that something that we want to continue

0:20:01.280 --> 0:20:03.840
<v Speaker 8>to lean in on now. At the same time, we

0:20:03.880 --> 0:20:06.160
<v Speaker 8>do see a lot of opportunity with what i'd call

0:20:06.200 --> 0:20:09.000
<v Speaker 8>older users. Now that's not that much older. We're talking

0:20:09.000 --> 0:20:12.720
<v Speaker 8>about thirty to forty year olds. That cohort of gay

0:20:12.760 --> 0:20:15.280
<v Speaker 8>men in particular wants to start thinking about dating, and

0:20:15.320 --> 0:20:17.920
<v Speaker 8>so there's a lot of opportunity to enable dating products

0:20:17.920 --> 0:20:20.119
<v Speaker 8>for them, which we already have a lot of dating

0:20:20.480 --> 0:20:23.720
<v Speaker 8>relationships that develop on Grinder. About one and four gay

0:20:23.760 --> 0:20:26.880
<v Speaker 8>relationship with the US originates on Grinder, but we think

0:20:26.880 --> 0:20:28.680
<v Speaker 8>we have a much better user set for them to

0:20:30.800 --> 0:20:32.840
<v Speaker 8>date better and to meet people a lot better, and

0:20:32.960 --> 0:20:34.840
<v Speaker 8>AI is a big part of that. Cal And mentioned

0:20:34.840 --> 0:20:38.320
<v Speaker 8>that a minute ago matching is a really huge opportunity

0:20:38.320 --> 0:20:41.000
<v Speaker 8>for aim baously because big data is so valuable in

0:20:41.000 --> 0:20:43.240
<v Speaker 8>that regard, and that's something we will invest money and

0:20:43.280 --> 0:20:44.080
<v Speaker 8>effort into as well.

0:20:44.320 --> 0:20:47.520
<v Speaker 3>So it's quickly. You stole some headlines with your return

0:20:47.600 --> 0:20:50.120
<v Speaker 3>to office policies and the fact that really cut down

0:20:50.119 --> 0:20:51.919
<v Speaker 3>on some of the people that you employ. How has

0:20:51.920 --> 0:20:54.399
<v Speaker 3>that affected the business briefly.

0:20:55.119 --> 0:20:56.600
<v Speaker 1>It's going to have no impact on this year.

0:20:56.640 --> 0:20:59.159
<v Speaker 8>Obviously, we raise guidance now twice and so business is

0:20:59.160 --> 0:21:00.960
<v Speaker 8>doing really well and able to build all the things

0:21:00.960 --> 0:21:02.800
<v Speaker 8>we need to build, and we're not at any way

0:21:02.800 --> 0:21:05.720
<v Speaker 8>concern about that for next year as well. I think

0:21:05.760 --> 0:21:08.800
<v Speaker 8>what it does, you know, allow us to opportunity to do,

0:21:08.840 --> 0:21:10.640
<v Speaker 8>is to attract people who really want to go after

0:21:10.680 --> 0:21:13.600
<v Speaker 8>audacious goals, who want to go solve in possible things

0:21:13.720 --> 0:21:17.320
<v Speaker 8>and you know, deliver really great results for both our shareholders.

0:21:16.800 --> 0:21:17.439
<v Speaker 1>And our users.

0:21:17.760 --> 0:21:20.159
<v Speaker 8>Grinder is this amazing place where you both can have

0:21:20.200 --> 0:21:22.920
<v Speaker 8>a really great business and also do really awesome things

0:21:22.960 --> 0:21:24.800
<v Speaker 8>for the user base. And we'll continue to.

0:21:24.720 --> 0:21:27.760
<v Speaker 2>Do that, all right, Grind. The CEO, George Harrison, thank

0:21:27.800 --> 0:21:28.840
<v Speaker 2>you so much for your time.

0:21:35.840 --> 0:21:37.119
<v Speaker 3>Welcome back to Bluemertnalogy.

0:21:37.160 --> 0:21:39.560
<v Speaker 2>I'm Caline Hid in New York and Amed Ludlow in

0:21:39.560 --> 0:21:41.680
<v Speaker 2>San Francisco. Carra quit check in on the markets. The

0:21:41.720 --> 0:21:44.399
<v Speaker 2>story really one of eco data, right. We got that

0:21:44.440 --> 0:21:47.720
<v Speaker 2>inflation print sowing cooling inflation broadly. You look at the

0:21:47.760 --> 0:21:50.399
<v Speaker 2>n AS that one hundred almost two percentage point, and

0:21:50.440 --> 0:21:52.280
<v Speaker 2>you were talking, Cara about the kind of shorter end

0:21:52.320 --> 0:21:55.120
<v Speaker 2>of the curve US tenure yield. Also seeing the you'll

0:21:55.200 --> 0:21:58.320
<v Speaker 2>pull back down some seventeen basis points. Why do we

0:21:58.359 --> 0:22:01.200
<v Speaker 2>cover rates well, the impact equity markets as you see

0:22:01.200 --> 0:22:03.680
<v Speaker 2>behind me, But it's kind of interesting how the conversation

0:22:03.760 --> 0:22:06.560
<v Speaker 2>might change into private markets as well. Right when interest

0:22:06.640 --> 0:22:08.879
<v Speaker 2>rates started to take off in the back half of

0:22:08.920 --> 0:22:12.120
<v Speaker 2>twenty twenty one, what happened global VC funding came down.

0:22:12.280 --> 0:22:14.879
<v Speaker 2>So even though the conversation now is about whether or

0:22:14.880 --> 0:22:17.240
<v Speaker 2>not we're at peak rate, it's going to impact public

0:22:17.280 --> 0:22:19.320
<v Speaker 2>and private markets going forward, which is something we love

0:22:19.359 --> 0:22:20.240
<v Speaker 2>to discuss on the show.

0:22:20.880 --> 0:22:23.840
<v Speaker 3>It satinly Is and that intersection. But actually what we

0:22:23.840 --> 0:22:26.720
<v Speaker 3>also love to discuss is the fact that technology hits

0:22:26.720 --> 0:22:28.879
<v Speaker 3>every single industry group, and not always in the most

0:22:28.920 --> 0:22:31.400
<v Speaker 3>positive manner, in particular when it comes to cyber attacks. Look,

0:22:31.600 --> 0:22:33.880
<v Speaker 3>just days after the Industrial and Commercial Bank of China

0:22:33.880 --> 0:22:36.560
<v Speaker 3>got hit with that ransomware attack, members of the management

0:22:36.600 --> 0:22:38.760
<v Speaker 3>we understand from dropped on a plane over the weekend

0:22:38.800 --> 0:22:41.920
<v Speaker 3>to reassure market participants. Right here in the United States,

0:22:42.200 --> 0:22:44.879
<v Speaker 3>the officials spoke with hundreds of MEMBO firms of the

0:22:44.880 --> 0:22:49.520
<v Speaker 3>Securities Industry and Financial Markets Association, according to sources, but

0:22:49.560 --> 0:22:52.880
<v Speaker 3>it's still unclear when the stricken systems will actually start

0:22:52.880 --> 0:22:55.119
<v Speaker 3>functioning again. Of course there's a big impact on the

0:22:55.160 --> 0:22:56.040
<v Speaker 3>all important.

0:22:55.680 --> 0:22:59.560
<v Speaker 2>Bond market ed a stick with cyber and data security

0:22:59.560 --> 0:23:02.879
<v Speaker 2>and bringing Rebrix ceob posting at Rebriks just put out

0:23:02.920 --> 0:23:07.080
<v Speaker 2>its latest data security report, and I guess the best

0:23:07.080 --> 0:23:10.280
<v Speaker 2>phase to start is from a technology perspective. What was

0:23:10.320 --> 0:23:15.000
<v Speaker 2>the conclusion? What is the threats that data holders data

0:23:15.080 --> 0:23:16.560
<v Speaker 2>users around the world face right now?

0:23:17.240 --> 0:23:20.520
<v Speaker 9>It's a cyber mayhem out there. What our research report

0:23:20.560 --> 0:23:24.720
<v Speaker 9>found was one in three people lost their personal information

0:23:25.080 --> 0:23:27.680
<v Speaker 9>and they don't even know about it. Personal informations such

0:23:27.720 --> 0:23:32.159
<v Speaker 9>as social security number and other contact information. And what

0:23:32.280 --> 0:23:36.760
<v Speaker 9>is also interesting is that two out of the three

0:23:36.840 --> 0:23:40.320
<v Speaker 9>organizations have data growing so fast that they can't even

0:23:40.680 --> 0:23:43.560
<v Speaker 9>keep up with the data security. Ninety eight percent of

0:23:43.600 --> 0:23:47.240
<v Speaker 9>the IT leaders are saying that they can't secure the

0:23:47.920 --> 0:23:50.480
<v Speaker 9>data because the data growth is so much. Just look

0:23:50.520 --> 0:23:54.600
<v Speaker 9>at what happened at MGM. MGM had one hundred million

0:23:54.680 --> 0:23:58.359
<v Speaker 9>dollar cost because a lot of their customers grid card information,

0:23:58.680 --> 0:24:01.640
<v Speaker 9>contact information was actually stolen.

0:24:01.720 --> 0:24:03.760
<v Speaker 2>I think the staggering figure that jumps out of may

0:24:04.119 --> 0:24:07.240
<v Speaker 2>is that one in two or fifty percent of all

0:24:07.280 --> 0:24:11.560
<v Speaker 2>companies that have had some kind of loss of data

0:24:11.600 --> 0:24:14.280
<v Speaker 2>from a cyber ins Then where is the threat coming

0:24:14.280 --> 0:24:16.280
<v Speaker 2>from you know, traditionally we'd say, oh, well it's coming

0:24:16.320 --> 0:24:19.520
<v Speaker 2>from Russia or China. Is that still the case.

0:24:19.800 --> 0:24:22.840
<v Speaker 9>It's a combination of many things. You could have bore

0:24:22.960 --> 0:24:26.800
<v Speaker 9>teenagers trying to monetize. You could have national estate actors,

0:24:27.240 --> 0:24:32.399
<v Speaker 9>industrial espionage. I mean, the cyber landscape is much more complex,

0:24:32.680 --> 0:24:37.080
<v Speaker 9>much more active. Is because the digital economy is becoming

0:24:37.160 --> 0:24:40.840
<v Speaker 9>such a big part of the overall economy, and cyber

0:24:40.960 --> 0:24:42.680
<v Speaker 9>is a massive threat to our economy.

0:24:43.640 --> 0:24:46.919
<v Speaker 3>Precisely, total volume of data and an organization that they

0:24:47.000 --> 0:24:49.520
<v Speaker 3>need to secure is sort of rising, you say, seven

0:24:49.720 --> 0:24:53.159
<v Speaker 3>x over the next five years. What on earth is

0:24:53.480 --> 0:24:56.119
<v Speaker 3>a cso to do in this current environment? Just spend

0:24:56.119 --> 0:24:58.480
<v Speaker 3>more and more, get more and more, sort of focus

0:24:58.560 --> 0:25:02.240
<v Speaker 3>on cyber on on bringing in more protections. How on

0:25:02.280 --> 0:25:07.200
<v Speaker 3>earth can they battle this? Just absolute explosion of data.

0:25:07.320 --> 0:25:09.600
<v Speaker 1>We have to reframe the cyber discussion.

0:25:10.160 --> 0:25:14.040
<v Speaker 9>Cyber discussion so far has been about prevention of attacks,

0:25:14.080 --> 0:25:17.240
<v Speaker 9>and that's what cybersecurity industry is doing the last twenty

0:25:17.359 --> 0:25:20.680
<v Speaker 9>thirty years. We have to reframe the discussion from prevention

0:25:21.119 --> 0:25:25.040
<v Speaker 9>to resilience. You have to do prevention, but that's not enough.

0:25:25.440 --> 0:25:28.480
<v Speaker 9>The resilience says that you can continue to operate the

0:25:28.520 --> 0:25:31.440
<v Speaker 9>business even in presence of cyber attacks and breaches. You

0:25:31.960 --> 0:25:36.920
<v Speaker 9>protect your customer's information, your IP, your core business data

0:25:37.000 --> 0:25:38.440
<v Speaker 9>even when the breaches.

0:25:38.080 --> 0:25:41.280
<v Speaker 1>An attack happen. That's the future cyber resilience.

0:25:41.840 --> 0:25:44.119
<v Speaker 3>The future, many would say, is also how you deploy

0:25:44.240 --> 0:25:48.560
<v Speaker 3>genet AIAI more broadly into becoming not only the attacker

0:25:48.640 --> 0:25:50.880
<v Speaker 3>but the protector. Here you're backed by Microsoft, of course,

0:25:50.920 --> 0:25:53.240
<v Speaker 3>which is pending an awful lot of its future on

0:25:53.400 --> 0:25:56.200
<v Speaker 3>artificial intelligence. How are you weaving it in am brubrick.

0:25:57.640 --> 0:26:01.560
<v Speaker 9>Cyber attacks have gone beyond human cons You have to

0:26:02.280 --> 0:26:06.320
<v Speaker 9>fight fire with fire, and as attackers are leveraging AI

0:26:06.440 --> 0:26:09.600
<v Speaker 9>to generate more codes to actually attack you, you have

0:26:09.680 --> 0:26:12.800
<v Speaker 9>to apply AI to understand what the heck is really

0:26:12.800 --> 0:26:16.120
<v Speaker 9>going on. Because the data lives in on premises, data

0:26:16.119 --> 0:26:19.840
<v Speaker 9>lives in cloud, data lives in SaaS applications, and there

0:26:19.840 --> 0:26:24.120
<v Speaker 9>are so much volume, variability and velocity of data generation

0:26:24.320 --> 0:26:28.080
<v Speaker 9>and usage that you have to apply AI to understand

0:26:28.640 --> 0:26:31.080
<v Speaker 9>a bad actor touching your data in the cloud, or

0:26:31.119 --> 0:26:33.359
<v Speaker 9>bad actor touching your data into SAS, and how to

0:26:33.440 --> 0:26:37.640
<v Speaker 9>connect all these dots to really deliver cyber resilience end to.

0:26:37.720 --> 0:26:40.960
<v Speaker 2>End people were almost at the end of twenty twenty three,

0:26:41.040 --> 0:26:44.560
<v Speaker 2>believe it or not. Started the year at CES where

0:26:44.560 --> 0:26:47.639
<v Speaker 2>everyone said the private sector isn't doing enough toward off

0:26:47.640 --> 0:26:50.280
<v Speaker 2>cyber threats. Then in April we went to OURSA and

0:26:50.280 --> 0:26:52.600
<v Speaker 2>everyone said the private sector is not doing enough the

0:26:52.600 --> 0:26:55.200
<v Speaker 2>word of cyber threats. By the end of twenty twenty three,

0:26:55.240 --> 0:26:57.639
<v Speaker 2>will anyone have done anything's word of cyber threats?

0:26:58.240 --> 0:26:59.960
<v Speaker 1>See that everybody's trying hard.

0:27:00.119 --> 0:27:03.320
<v Speaker 9>The challenges that we are stuck in this old model

0:27:03.640 --> 0:27:06.399
<v Speaker 9>of preventing attack trying to stop attack. We need to

0:27:06.400 --> 0:27:10.639
<v Speaker 9>reframe the discussion saying prevention is important, but just relying

0:27:10.720 --> 0:27:13.479
<v Speaker 9>on prevention is failure to plan. We need to have

0:27:13.560 --> 0:27:18.400
<v Speaker 9>a strategic cyber defense initiative which assumes that attacks are

0:27:18.480 --> 0:27:21.560
<v Speaker 9>inevitable and how do you continue to operate the business

0:27:21.560 --> 0:27:25.199
<v Speaker 9>in presence of attacks, Have a strategy about resilience, have

0:27:25.240 --> 0:27:29.760
<v Speaker 9>a strategy about recovery, because again, the digital trust is

0:27:29.800 --> 0:27:32.199
<v Speaker 9>important for a function economy. And if you don't have

0:27:32.280 --> 0:27:34.919
<v Speaker 9>digital trust, if the systems are down for days and days,

0:27:35.200 --> 0:27:38.480
<v Speaker 9>just in case of MGM, people's ability to transact and

0:27:38.560 --> 0:27:40.560
<v Speaker 9>have confidence in the system will be very low.

0:27:41.080 --> 0:27:43.680
<v Speaker 3>PEO will I want to ask more about your company

0:27:43.720 --> 0:27:46.240
<v Speaker 3>because quite clearly you've got a lot of problems to

0:27:46.280 --> 0:27:48.879
<v Speaker 3>be solving for other businesses. Tell us a little bit

0:27:48.880 --> 0:27:51.840
<v Speaker 3>about well, the exuberance around twenty twenty three wasn't just

0:27:51.920 --> 0:27:54.160
<v Speaker 3>about people needing to invest in cyber It is also

0:27:54.200 --> 0:27:57.280
<v Speaker 3>about will we get more public offerings? And your name

0:27:57.359 --> 0:28:00.000
<v Speaker 3>came up time and time again. How is that trajector

0:28:00.240 --> 0:28:00.919
<v Speaker 3>going for Rubric?

0:28:02.200 --> 0:28:06.240
<v Speaker 9>Our business is very strong because of the fundamental realization

0:28:06.800 --> 0:28:09.480
<v Speaker 9>that businesses have to have a plan of cyber recovery,

0:28:09.480 --> 0:28:12.720
<v Speaker 9>cyber resilience, and that's what we are delivering in the marketplace.

0:28:12.800 --> 0:28:14.639
<v Speaker 1>Obviously, given the interest.

0:28:14.440 --> 0:28:18.639
<v Speaker 9>Rate environment, given the broader macro economy, the market is

0:28:19.080 --> 0:28:19.919
<v Speaker 9>in a little.

0:28:19.640 --> 0:28:22.439
<v Speaker 1>Bit of a situation and we are watching the market.

0:28:22.520 --> 0:28:25.080
<v Speaker 9>We are preparing ourselves when the market is right, when

0:28:25.119 --> 0:28:27.360
<v Speaker 9>we are ready, will enter the public.

0:28:27.080 --> 0:28:31.000
<v Speaker 2>Market, and that happening within twenty twenty three. I talked

0:28:31.040 --> 0:28:33.800
<v Speaker 2>about how little of it is left is on the cards.

0:28:34.920 --> 0:28:39.000
<v Speaker 9>I don't know to be the honest answered, because I

0:28:39.000 --> 0:28:41.760
<v Speaker 9>will leave the market prediction to the market experts. But

0:28:43.000 --> 0:28:45.560
<v Speaker 9>again I have a view that Rubric will be a

0:28:45.600 --> 0:28:48.400
<v Speaker 9>public company and we want to build a long term company.

0:28:48.600 --> 0:28:50.720
<v Speaker 3>See people seen great to have some time with you

0:28:50.880 --> 0:28:54.600
<v Speaker 3>of Rubric, Thank you. Meanwhile, coming up, let's talk about

0:28:54.640 --> 0:28:57.640
<v Speaker 3>women's health. The Tech Startups Circle gets back in from

0:28:57.680 --> 0:29:01.600
<v Speaker 3>Shalla Sambugs. NEWBC firm Quan Carlos Riviera is going to

0:29:01.640 --> 0:29:16.840
<v Speaker 3>be joining us next. This is Bluebot Technology tie now

0:29:17.000 --> 0:29:19.720
<v Speaker 3>for VC roundup and first up by Dance co founder

0:29:19.840 --> 0:29:23.160
<v Speaker 3>Zangyu Ming. Five month old VC firm Cool of Adventure

0:29:23.200 --> 0:29:25.760
<v Speaker 3>has leased space in one of Hong Kong's most recognizable

0:29:25.840 --> 0:29:28.960
<v Speaker 3>skyscrapers and in ruts of Chinese financial houses have flocked

0:29:28.960 --> 0:29:31.000
<v Speaker 3>to Hong Kong as IT tries to promote itself as

0:29:31.000 --> 0:29:35.160
<v Speaker 3>an Asian financial hub, emerging from the barony as a COVID. Meanwhile,

0:29:35.480 --> 0:29:38.800
<v Speaker 3>General Catalyst being capital nearly actually three other dozen VC

0:29:38.960 --> 0:29:41.840
<v Speaker 3>firms has signed a set of voluntary commitments with feedback

0:29:41.880 --> 0:29:44.680
<v Speaker 3>from the Biden administration for how the startups they back

0:29:44.920 --> 0:29:48.280
<v Speaker 3>should develop AI responsibly and includes pledges to forecast AI

0:29:48.400 --> 0:29:51.440
<v Speaker 3>risks and benefits and audit and test to ensure product safety,

0:29:51.680 --> 0:29:55.120
<v Speaker 3>among many other things. Through these standards, though aren't binding

0:29:55.880 --> 0:29:59.600
<v Speaker 3>and collective, global it wants to change how pensions access

0:30:00.120 --> 0:30:02.520
<v Speaker 3>the innovation economy is a new investment fund and it's

0:30:02.760 --> 0:30:05.800
<v Speaker 3>coned co owned by the California Pensions is launching with

0:30:05.840 --> 0:30:08.320
<v Speaker 3>more than a billion dollars in committed assets under management

0:30:08.480 --> 0:30:12.480
<v Speaker 3>and a goal of raudening the plan's exposure too bench Capital.

0:30:12.240 --> 0:30:14.880
<v Speaker 2>It let's still we're bench Capital. In one of her

0:30:15.000 --> 0:30:18.880
<v Speaker 2>first investments since leaving Meta, Cheryl Samberg is backing the

0:30:18.960 --> 0:30:22.920
<v Speaker 2>health tech startup Circle through her new Bench Capital Fund SBVP.

0:30:23.200 --> 0:30:26.800
<v Speaker 2>Circle uses AI to analyze biomedical and genomics data with

0:30:26.880 --> 0:30:30.080
<v Speaker 2>the goal of improving women's health and women's health care.

0:30:30.680 --> 0:30:33.040
<v Speaker 2>Circle CEO Juan Colos Verrero joins us now here in

0:30:33.120 --> 0:30:36.560
<v Speaker 2>San Francisco. Thank you for Homie, thank you for being here.

0:30:36.800 --> 0:30:40.320
<v Speaker 2>So on Cheryl Sandberg's backing, there's the cash injection, but

0:30:40.440 --> 0:30:42.720
<v Speaker 2>what does a kind of longtime tech executive like that

0:30:42.920 --> 0:30:44.760
<v Speaker 2>bring you beyond just the money.

0:30:46.160 --> 0:30:49.680
<v Speaker 10>Well, we are very proud and honor of having Sherry

0:30:49.760 --> 0:30:52.720
<v Speaker 10>Lanton as an investor. Like the rest of the investors

0:30:52.840 --> 0:30:58.000
<v Speaker 10>in Circle, we are communted to improve War one health

0:30:58.120 --> 0:31:01.160
<v Speaker 10>and we are committed to do using data, and they

0:31:01.240 --> 0:31:05.120
<v Speaker 10>are sharing that vision and that commitment because it's huge

0:31:06.160 --> 0:31:09.720
<v Speaker 10>possibilities and room for improvements in a woman health. Because

0:31:09.920 --> 0:31:14.760
<v Speaker 10>it's massively underserve. Historically, they have been out of medical

0:31:14.920 --> 0:31:18.760
<v Speaker 10>studies until thirty years ago. There are roughly around seven

0:31:18.840 --> 0:31:21.160
<v Speaker 10>hundred disease that they take four and a half years

0:31:21.760 --> 0:31:26.280
<v Speaker 10>to be diagnosed properly versus men, and they were all

0:31:26.320 --> 0:31:29.320
<v Speaker 10>investment in and woman health is below two percent x

0:31:29.400 --> 0:31:34.120
<v Speaker 10>uxclude oncology. So you can imagine that there is room

0:31:34.160 --> 0:31:38.120
<v Speaker 10>of opportunities to improve woman health and using data we

0:31:38.200 --> 0:31:38.600
<v Speaker 10>can do that.

0:31:38.880 --> 0:31:40.200
<v Speaker 1>So we are very successful.

0:31:40.440 --> 0:31:42.720
<v Speaker 10>Now. We are working with US Fertility that is the

0:31:42.800 --> 0:31:46.720
<v Speaker 10>largest clinic in the US very far. We are also

0:31:46.880 --> 0:31:50.840
<v Speaker 10>in Mexico, Argentina and Colombia and Europe with several things.

0:31:50.960 --> 0:31:54.400
<v Speaker 10>Is one of the biggest laptesting companies in genetics. So

0:31:54.800 --> 0:31:58.440
<v Speaker 10>having the support of people ACTUALI and Home is just

0:31:58.560 --> 0:32:00.920
<v Speaker 10>going to hold us to scale, make the company bigger

0:32:00.920 --> 0:32:01.800
<v Speaker 10>and have a beginn.

0:32:01.560 --> 0:32:03.880
<v Speaker 2>Impact on how does the technology work.

0:32:05.120 --> 0:32:09.680
<v Speaker 10>So I think the main difference between us and everyone

0:32:09.720 --> 0:32:14.480
<v Speaker 10>else is scale and the resolution we have. We want

0:32:14.520 --> 0:32:20.479
<v Speaker 10>to enable personalize and precision medicine on woman and basically

0:32:20.560 --> 0:32:22.920
<v Speaker 10>what it means is that every woman is different and

0:32:23.400 --> 0:32:25.520
<v Speaker 10>what it works for some woman doesn't work for others.

0:32:26.560 --> 0:32:29.400
<v Speaker 10>We provide the tools on the data to a healthcare system.

0:32:29.520 --> 0:32:32.320
<v Speaker 10>To understand those difference to provide the best solution for

0:32:32.440 --> 0:32:36.120
<v Speaker 10>each of those women's is basically what a FDA called

0:32:36.240 --> 0:32:38.880
<v Speaker 10>we are word later real evidence. So you need to

0:32:39.480 --> 0:32:42.800
<v Speaker 10>understand this collegal data in order that you can provide

0:32:42.840 --> 0:32:44.880
<v Speaker 10>the best recommendation of the best solution for a new

0:32:44.920 --> 0:32:47.840
<v Speaker 10>patient walking into the clinic or for a new drug development.

0:32:48.520 --> 0:32:51.200
<v Speaker 10>So yeah, if we go ahead.

0:32:51.360 --> 0:32:54.000
<v Speaker 3>Well, I'm interested in that data and that data collection.

0:32:54.280 --> 0:32:56.640
<v Speaker 3>It says on your website you strive to meet hyper

0:32:56.680 --> 0:33:01.760
<v Speaker 3>compliance standards to ensure that privacy striving doesn't always mean hitting.

0:33:02.320 --> 0:33:06.040
<v Speaker 3>How are you ensuring that this privacy to data remains

0:33:06.200 --> 0:33:07.400
<v Speaker 3>I'm sure type of mind.

0:33:09.160 --> 0:33:12.440
<v Speaker 10>So this is a very important question and I'm sexually

0:33:12.480 --> 0:33:18.560
<v Speaker 10>you're asking. So we are building these biomedica and genomics

0:33:18.680 --> 0:33:24.720
<v Speaker 10>graph that basically connects billions of data points from medical reports,

0:33:25.400 --> 0:33:30.440
<v Speaker 10>biological data, and genemics data to enable that precise and

0:33:30.520 --> 0:33:34.280
<v Speaker 10>precision medicine coming from multiple and different hospitals around the world.

0:33:34.640 --> 0:33:37.800
<v Speaker 10>And we're doing it using our II platform that anonymised

0:33:37.800 --> 0:33:40.680
<v Speaker 10>and remove all the PI information that it's in those

0:33:40.760 --> 0:33:43.360
<v Speaker 10>medical records to make sure that it's never possible to

0:33:43.440 --> 0:33:46.240
<v Speaker 10>go back and take it all the personal information and

0:33:46.320 --> 0:33:49.680
<v Speaker 10>also to understand it and merged, putting all together to

0:33:49.760 --> 0:33:53.240
<v Speaker 10>build that graph that can provide those unique insights to

0:33:53.320 --> 0:33:56.440
<v Speaker 10>improve a woman health. So you're using II. We are

0:33:56.440 --> 0:33:58.560
<v Speaker 10>spending a lot of time to make sure that it's

0:33:58.600 --> 0:34:02.440
<v Speaker 10>completely anonymized, secure, and it only builded to be the

0:34:02.720 --> 0:34:05.000
<v Speaker 10>good things that we can and we want to provide

0:34:05.040 --> 0:34:06.160
<v Speaker 10>for woman health.

0:34:07.200 --> 0:34:11.000
<v Speaker 3>Cheryl of course very passionate and shortom too about equality

0:34:11.080 --> 0:34:14.120
<v Speaker 3>here and underserved community of women. But she's also a

0:34:14.200 --> 0:34:16.920
<v Speaker 3>true business person, both of them, and I'm interested in

0:34:16.960 --> 0:34:20.000
<v Speaker 3>where the money therefore comes into your business. You're partnering

0:34:20.040 --> 0:34:21.360
<v Speaker 3>with clinics, are they paying you?

0:34:21.560 --> 0:34:21.759
<v Speaker 1>Where?

0:34:21.960 --> 0:34:23.800
<v Speaker 3>Where does the money flow back to you as a

0:34:23.880 --> 0:34:24.840
<v Speaker 3>technology provider.

0:34:26.840 --> 0:34:30.560
<v Speaker 10>So first, we are talking about half of the population. Okay,

0:34:30.680 --> 0:34:33.040
<v Speaker 10>so any business that they started getting half of the

0:34:33.080 --> 0:34:35.560
<v Speaker 10>population should be a very good business stared by the fall.

0:34:36.200 --> 0:34:39.239
<v Speaker 10>And second, as I said, we are working with those

0:34:39.320 --> 0:34:44.440
<v Speaker 10>clinics and those fertility companies and fertility labs and genetic

0:34:44.520 --> 0:34:46.840
<v Speaker 10>labs to improve their products in order that they can

0:34:46.960 --> 0:34:50.320
<v Speaker 10>provide better care, to improve their outputs outcomes. In this

0:34:50.480 --> 0:34:54.120
<v Speaker 10>case is starting on fertility. There is room for improvement

0:34:54.239 --> 0:34:56.439
<v Speaker 10>even so, it's a great technology. Doctors are doing great,

0:34:56.480 --> 0:34:58.960
<v Speaker 10>but there is a room for improvement. So our business

0:34:59.000 --> 0:35:01.719
<v Speaker 10>model at homes working with those clinics and helping them

0:35:01.760 --> 0:35:04.600
<v Speaker 10>to provide better tools and better solutions to all their patients.

0:35:04.880 --> 0:35:06.040
<v Speaker 1>And it's going really well.

0:35:06.200 --> 0:35:08.480
<v Speaker 10>Our revenue is growing. As I said, we are not

0:35:08.719 --> 0:35:11.600
<v Speaker 10>just growing quickly and fast in the US, but also

0:35:11.719 --> 0:35:15.080
<v Speaker 10>in South America and in Europe. And the business is

0:35:15.160 --> 0:35:15.759
<v Speaker 10>doing very well.

0:35:16.360 --> 0:35:18.759
<v Speaker 2>And call us what is it that Circle has done?

0:35:19.280 --> 0:35:22.920
<v Speaker 2>Is it your own competence in machine learning AI? Or

0:35:23.040 --> 0:35:25.439
<v Speaker 2>do you go to technology partners and take the work

0:35:25.520 --> 0:35:27.880
<v Speaker 2>that others have done in AI to build out the

0:35:27.960 --> 0:35:29.680
<v Speaker 2>underpendings of the platform.

0:35:30.200 --> 0:35:32.800
<v Speaker 10>We build our own technology. Okay, So in order to

0:35:32.880 --> 0:35:35.040
<v Speaker 10>build a scale and the resolution that you need to

0:35:35.920 --> 0:35:38.520
<v Speaker 10>provide percise medicines to billions of womens, and you need

0:35:38.520 --> 0:35:40.800
<v Speaker 10>to understand in our body we have thirty seven trillion

0:35:40.880 --> 0:35:44.360
<v Speaker 10>different cells. So the scale that we need and the

0:35:44.400 --> 0:35:46.680
<v Speaker 10>amount of data, it's very important. There are a lot

0:35:46.719 --> 0:35:49.560
<v Speaker 10>of companies that they can have billions of patients into

0:35:49.640 --> 0:35:52.040
<v Speaker 10>their data, but they don't have the resolution in order

0:35:52.080 --> 0:35:55.000
<v Speaker 10>to understand what is working or not working across all

0:35:55.080 --> 0:35:58.440
<v Speaker 10>of those different womans. This is similar to if you

0:35:58.520 --> 0:36:00.759
<v Speaker 10>want to drive between San Francisco on New York, you

0:36:00.800 --> 0:36:03.080
<v Speaker 10>want to use maps that has all the data and

0:36:03.120 --> 0:36:04.759
<v Speaker 10>all the resolution to make sure that you are taking

0:36:04.800 --> 0:36:06.680
<v Speaker 10>the right direction all the time you don't get lost.

0:36:06.719 --> 0:36:08.719
<v Speaker 10>But also it has the scale because you want to

0:36:08.760 --> 0:36:10.840
<v Speaker 10>go to all the different cities in the United States.

0:36:11.560 --> 0:36:13.840
<v Speaker 10>To do that at that scale with our human integration

0:36:13.960 --> 0:36:16.320
<v Speaker 10>and only using machines and in the secure way, like

0:36:16.440 --> 0:36:19.480
<v Speaker 10>Caroline was suggesting, you need to have advanced machine learning

0:36:19.560 --> 0:36:21.800
<v Speaker 10>technology that we have development houses.

0:36:22.400 --> 0:36:25.400
<v Speaker 3>All that unstructured data that you're making sense of. You

0:36:25.480 --> 0:36:27.600
<v Speaker 3>call it what I think medicine three point zero. We

0:36:27.719 --> 0:36:38.200
<v Speaker 3>thank you. Circle CEO Juan Carlos Rivero. There Formula one's

0:36:38.239 --> 0:36:41.040
<v Speaker 3>owners that Liberty Media, while they've have to apologize to

0:36:41.120 --> 0:36:43.920
<v Speaker 3>the city of Las Vegas for apparently the disruption caused

0:36:43.960 --> 0:36:46.560
<v Speaker 3>by the Grand Prix schedules for this weekend so all.

0:36:46.560 --> 0:36:50.160
<v Speaker 3>According to ESPN, some residents have been well frustrated by

0:36:50.160 --> 0:36:52.040
<v Speaker 3>the impact of the event, with limited access to the

0:36:52.080 --> 0:36:54.920
<v Speaker 3>strip and hotels during the week Liberty CEO says the

0:36:55.040 --> 0:36:58.160
<v Speaker 3>racing event will bring in around one point seven billion

0:36:58.640 --> 0:37:02.239
<v Speaker 3>revenue to the city well, I'm not sure how much

0:37:02.480 --> 0:37:06.160
<v Speaker 3>apologizing he really needs to do, because I'm not sure

0:37:06.200 --> 0:37:08.480
<v Speaker 3>how much they have to apologize to Monaco or anywhere

0:37:08.520 --> 0:37:10.279
<v Speaker 3>else that they bring what is now like a well

0:37:10.320 --> 0:37:10.840
<v Speaker 3>loved sport.

0:37:11.680 --> 0:37:13.839
<v Speaker 2>Yeah, so everyone has become huge in America in twenty

0:37:13.880 --> 0:37:16.560
<v Speaker 2>twenty three, largely because of Netflix. But what's crazy about this?

0:37:16.680 --> 0:37:19.399
<v Speaker 2>Everyone's talking about it on social media. It's a three

0:37:19.520 --> 0:37:22.040
<v Speaker 2>point eight mile track for a race that hasn't even

0:37:22.120 --> 0:37:26.200
<v Speaker 2>taken place yet. So the weekend Thursday's practice, Friday qualifying,

0:37:26.239 --> 0:37:29.600
<v Speaker 2>Saturday race and onwards. Everyone's pretty up in arms.

0:37:30.080 --> 0:37:31.960
<v Speaker 3>There's going to be fanfair, you can bet it. And

0:37:32.080 --> 0:37:34.080
<v Speaker 3>I guess maybe if you've booked your trip to Las

0:37:34.160 --> 0:37:36.400
<v Speaker 3>Vegas and didn't quite plan that, then maybe a bit

0:37:36.440 --> 0:37:39.319
<v Speaker 3>frustrated not getting easily about But I'm pretty sure there's

0:37:39.360 --> 0:37:41.040
<v Speaker 3>going to be some good vibes only on the weekend.

0:37:42.400 --> 0:37:45.799
<v Speaker 2>Need for speed okay, streaming YouTube will soon require video

0:37:45.880 --> 0:37:51.200
<v Speaker 2>makers to disclose when they've uploaded manipulated synthetic content that

0:37:51.400 --> 0:37:54.879
<v Speaker 2>looks realistic, and that includes video which uses a tools.

0:37:54.880 --> 0:37:58.759
<v Speaker 2>Bloomberg's Davy Alba joins us with more what is it

0:37:58.840 --> 0:38:01.160
<v Speaker 2>that YouTube's requiring here? And who is it that they're

0:38:01.200 --> 0:38:02.319
<v Speaker 2>requiring it up daily?

0:38:03.520 --> 0:38:05.320
<v Speaker 4>Yeah, thanks for having me so.

0:38:05.800 --> 0:38:09.840
<v Speaker 11>YouTube said in its blog post announcing this new policy

0:38:10.520 --> 0:38:14.600
<v Speaker 11>that in the next year, creators who use YouTube's video

0:38:14.719 --> 0:38:20.120
<v Speaker 11>platform need to check these new options on the creator side.

0:38:20.920 --> 0:38:24.600
<v Speaker 4>And disclose when they have used.

0:38:24.480 --> 0:38:29.920
<v Speaker 11>Synthetic or manipulated content in their videos, and that would

0:38:29.960 --> 0:38:36.080
<v Speaker 11>automatically create a label within the video description that indicates

0:38:36.120 --> 0:38:39.200
<v Speaker 11>to readers that there is some synthetic content in there,

0:38:39.360 --> 0:38:44.640
<v Speaker 11>and that would apply for any AI generated video content,

0:38:44.960 --> 0:38:48.600
<v Speaker 11>including YouTube's own AI making tools.

0:38:49.520 --> 0:38:51.760
<v Speaker 3>Yeah. I mean, it's notable that actually they've been wanting

0:38:51.880 --> 0:38:54.319
<v Speaker 3>to law some of their key creators to use their

0:38:54.360 --> 0:38:57.400
<v Speaker 3>own tools to bring generator AI to life. But this

0:38:57.600 --> 0:39:00.840
<v Speaker 3>is particularly important when it comes to more setsitive types

0:39:00.880 --> 0:39:03.759
<v Speaker 3>of content, right, particularly when we're thinking of elections approaching

0:39:03.920 --> 0:39:06.440
<v Speaker 3>or when you're thinking of healthcare. Is there more areas

0:39:06.480 --> 0:39:09.960
<v Speaker 3>where the flagging is going to be more unique, more obvious.

0:39:11.040 --> 0:39:11.239
<v Speaker 1>Yeah?

0:39:11.320 --> 0:39:13.480
<v Speaker 11>Absolutely, you mentioned two key areas.

0:39:13.600 --> 0:39:15.960
<v Speaker 4>Those are two that YouTube is actually looking at.

0:39:16.840 --> 0:39:21.040
<v Speaker 11>Elections, ongoing conflicts, and public health crises. There will be

0:39:21.680 --> 0:39:25.080
<v Speaker 11>a flag that is not just in the video description,

0:39:25.320 --> 0:39:29.279
<v Speaker 11>but on the video player itself. And YouTube is saying

0:39:29.440 --> 0:39:32.920
<v Speaker 11>that for these sensitive topics, there's a higher bar you

0:39:33.080 --> 0:39:38.120
<v Speaker 11>have to you know, disclose these things to viewers. And

0:39:38.400 --> 0:39:41.000
<v Speaker 11>as part of the requirements that it is now putting

0:39:41.080 --> 0:39:47.560
<v Speaker 11>onto these creators, if creators actually don't disclose these things consistently,

0:39:48.120 --> 0:39:52.200
<v Speaker 11>they may be subject to penalties on YouTube, including removal

0:39:52.320 --> 0:39:57.279
<v Speaker 11>of the content on the platform or being demonetized so

0:39:57.520 --> 0:40:00.880
<v Speaker 11>unable to make revenue from advertis on YouTube.

0:40:01.120 --> 0:40:02.680
<v Speaker 3>I mean, maybe all of this feels like a bit

0:40:02.680 --> 0:40:05.040
<v Speaker 3>of a no brain and particularly after Meta had just

0:40:05.080 --> 0:40:07.279
<v Speaker 3>been announcing they're doing the same, particularly when it comes

0:40:07.320 --> 0:40:11.680
<v Speaker 3>to ads that might well have well generated content within them.

0:40:12.480 --> 0:40:15.800
<v Speaker 3>What is difficult about this for YouTube? Why has it

0:40:15.920 --> 0:40:18.400
<v Speaker 3>taken them well a week later versus Meta for example.

0:40:19.800 --> 0:40:20.000
<v Speaker 1>Yeah.

0:40:20.239 --> 0:40:25.200
<v Speaker 11>Well, Google has actually announced a policy that would apply

0:40:25.560 --> 0:40:31.160
<v Speaker 11>to political ads on all of its platforms, including Google Search,

0:40:32.000 --> 0:40:39.160
<v Speaker 11>you know, YouTube and elsewhere that would flag users people

0:40:39.200 --> 0:40:44.160
<v Speaker 11>who are viewing the content if there are AI generated

0:40:44.239 --> 0:40:47.480
<v Speaker 11>content in that. This is different because it applies to

0:40:47.719 --> 0:40:52.640
<v Speaker 11>just content that is created on YouTube and not particularly

0:40:52.760 --> 0:40:53.560
<v Speaker 11>for advertising.

0:40:54.200 --> 0:40:55.680
<v Speaker 1>But you know, Google is in.

0:40:55.719 --> 0:41:00.440
<v Speaker 11>A very special position here because they both create eight

0:41:00.600 --> 0:41:04.880
<v Speaker 11>generative AI tools that really anyone can use, and they

0:41:04.960 --> 0:41:08.680
<v Speaker 11>have the platforms such as YouTube to distribute this kind

0:41:08.719 --> 0:41:12.000
<v Speaker 11>of content far and wide. And so, you know, all

0:41:12.120 --> 0:41:15.600
<v Speaker 11>year Google has been talking about the enormous responsibility that

0:41:15.800 --> 0:41:20.279
<v Speaker 11>comes with AI and you know, putting AI into the

0:41:20.360 --> 0:41:25.879
<v Speaker 11>hands of people, and this is one demonstration of them trying.

0:41:25.680 --> 0:41:28.600
<v Speaker 4>To you know, sort of walk the walk and say

0:41:28.680 --> 0:41:30.719
<v Speaker 4>that you know, we are doing the right thing.

0:41:30.920 --> 0:41:35.040
<v Speaker 11>We are adding these disclosures letting people know when generative

0:41:35.120 --> 0:41:37.719
<v Speaker 11>AI is in use on our platforms.

0:41:38.160 --> 0:41:40.480
<v Speaker 3>All about the responsibility when you're building the tech. Two.

0:41:40.600 --> 0:41:43.160
<v Speaker 3>Bloomberg's Davy Albert, thank you so much for joining us

0:41:43.600 --> 0:41:46.759
<v Speaker 3>on all Things YouTube. Meanwhile, that does it for this

0:41:46.960 --> 0:41:50.680
<v Speaker 3>edition of Bloomberg Technology and for another jam packed show

0:41:50.760 --> 0:41:53.080
<v Speaker 3>across earnings and indeed technological development.

0:41:53.120 --> 0:41:55.759
<v Speaker 2>And yeah, and thanks to everyone out there that's listening

0:41:55.800 --> 0:41:58.600
<v Speaker 2>to the podcast recapping the show. We're on Apples, Spotify,

0:41:58.960 --> 0:42:01.799
<v Speaker 2>iHeart and of course of the Bloomberg platforms. Coming up

0:42:01.960 --> 0:42:06.279
<v Speaker 2>on Bloomberg Television a live exclusive conversation with conversation with

0:42:06.360 --> 0:42:09.480
<v Speaker 2>Ken Griffin of Citadel that coming up in the next program.

0:42:09.560 --> 0:42:11.000
<v Speaker 2>It is one that you do not want to miss.

0:42:11.239 --> 0:42:13.359
<v Speaker 2>From here in San Francisco going out in New York City.

0:42:13.680 --> 0:42:15.040
<v Speaker 2>This is Bloomberg Technology,