WEBVTT - Look Ahead to Alphabet and Microsoft Earnings

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<v Speaker 1>From Marhart where Innovation, Money and power Collie in Silicon

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<v Speaker 1>Vallet NBN. This is Bloomberg Technology with Caroline Hyde and

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<v Speaker 1>Ed Loudlove.

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<v Speaker 2>I'm Caroline Heine Bluemerg's world headquarters in New York, and.

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<v Speaker 3>I'm Ed Lovelow here in San Francisco. This is Blueberg Technology.

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<v Speaker 4>Ed.

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<v Speaker 2>It is a huge day for big tech, earning Spotify

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<v Speaker 2>already out the gate. We've got Alphabet, Microsoft reporting after

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<v Speaker 2>the bell with AdSpend AI search engine details front of

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<v Speaker 2>mind for investors.

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<v Speaker 3>Then the European Union says nineteen major online platforms and

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<v Speaker 3>search engines will be subject to extra scrutiny under its

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<v Speaker 3>new content moderation rules, including a plan to conduct a

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<v Speaker 3>live stress test at Twitter.

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<v Speaker 2>And that's talking of at Twitter. The app Blue Sky.

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<v Speaker 2>It's about by Jack Dorsey. It's emerging as possible alternative

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<v Speaker 2>to Twitter. What makes it different from the competitors. We'll

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<v Speaker 2>dig into that moment, but first let's check in on

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<v Speaker 2>those markets. Because once again we are worried about recessionary risks,

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<v Speaker 2>we are worried about the macro environment. We are therefore

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<v Speaker 2>selling off on the Nastak more than a percentage point

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<v Speaker 2>lower worse than some of the other key benchmarks as

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<v Speaker 2>we see some of the data, whether it be about

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<v Speaker 2>consumer confidence, whether it be about housing prices, just showing

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<v Speaker 2>some slowing in this US economy. Tenure yield therefore a

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<v Speaker 2>flight to safety six basis points, seven basis points. Hays

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<v Speaker 2>call it on the downside of the tenure below that

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<v Speaker 2>two hundred day moving average. Meanwhile, we're not only risk

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<v Speaker 2>averse in the US, we're also risk averse for a

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<v Speaker 2>six straight day in terms of your US traded Chinese names.

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<v Speaker 2>Why this has a lot to do with geopolitics, said,

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<v Speaker 2>and the worry that we're going to limit US investment

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<v Speaker 2>in those Chinese names. And look what's happening in the

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<v Speaker 2>world of crypto, another bit of a bell weather in

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<v Speaker 2>terms of risk sentiment. It's back to being a risk

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<v Speaker 2>asset and we're down by a half a percentage point.

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<v Speaker 3>Yeah, earnings the main driver for me on the micro picture.

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<v Speaker 3>I'm taking a night at GM right. They've raised guidance

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<v Speaker 3>for twenty three, but there's a lot of analyst concern

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<v Speaker 3>about how thin margin's going to be as they shift

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<v Speaker 3>to EV A bit of a public service announcement, they're

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<v Speaker 3>retiring the Chevy Bolt production will end on that model

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<v Speaker 3>this year, which is an interesting moment of Eve history.

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<v Speaker 3>First Republic also interesting because, as we've been talking about

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<v Speaker 3>for weeks, so much of our audience were depositors at

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<v Speaker 3>First Republic, and that's where the concern is, deposit outflow.

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<v Speaker 3>I are you and I are going to talk about

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<v Speaker 3>that later in the program. Look at how severe the

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<v Speaker 3>drop is. A restructuring is on the cards. Strategic obsens

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<v Speaker 3>that's the downside. For the upside, we are looking at

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<v Speaker 3>Spotify out the gate with earnings this Monday, subscribers on

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<v Speaker 3>the paid side rising fifteen percent, hiundred and twelve million.

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<v Speaker 3>On the monthly active users, We've actually breached that five

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<v Speaker 3>hundred million mark, five hundred and fifteen million monthly active

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<v Speaker 3>users and narrower than expected loss. There's still questions around

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<v Speaker 3>profitability long term, but then you look at their outlook

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<v Speaker 3>for the second quarter revenue growth, subscriber growth, monthly active

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<v Speaker 3>user growth, and that's what investors like to hear.

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<v Speaker 2>Karen, Yeah, all good signs, but let's dig in on

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<v Speaker 2>whether that path to profitability is getting any closer. Spotify

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<v Speaker 2>I focus with Sandy Shamah's Third Bridge Senior analyst. So

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<v Speaker 2>you're reading the positive in terms of the tea.

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<v Speaker 5>Leaves here, Yeah, absolutely, Carol and at Pleasure Pleasure beyond.

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<v Speaker 5>So first off, straight off the bat, pretty good, a

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<v Speaker 5>good performance across the board, and we saw fourteen percent

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<v Speaker 5>revenue growth, we saw consistent grasp offit margins, and yes

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<v Speaker 5>EPIT prafitability was down as well, but again this is

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<v Speaker 5>sort of in liner what we've expected. But I think

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<v Speaker 5>a big thing over here is that, you know, when

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<v Speaker 5>it comes to Spotify across the entire board, they've been

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<v Speaker 5>focusing so much in what they show to investors, which

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<v Speaker 5>is subscriber growth, and again that shows in the ways

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<v Speaker 5>in which they've reported their numbers across But what retail

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<v Speaker 5>and institutional investors really seemed to be focused on, a

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<v Speaker 5>world really focused on in twenty twenty two was that

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<v Speaker 5>path to profitability. What that's led to is sort of

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<v Speaker 5>a mismatch or inability to come up with a unified,

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<v Speaker 5>coherent equity story for the business, and that perhaps has

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<v Speaker 5>been responsible for what some could argue to be a

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<v Speaker 5>relative under performance for a company of this scale. So, yes,

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<v Speaker 5>we're seeing positives across the board, but the experts we've

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<v Speaker 5>interviewed at Third Bridge. It really appears as if the

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<v Speaker 5>longer term sustainable profitability might be something the company can

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<v Speaker 5>hit right now, it's maybe a story mode about market

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<v Speaker 5>shared attention and market share gains as a whole.

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<v Speaker 3>So right now, market share, mark share. Let's talk about

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<v Speaker 3>technology as well.

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<v Speaker 4>Though.

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<v Speaker 3>What I find is so interesting is there's a lot

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<v Speaker 3>of option out there. We were talking on this program

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<v Speaker 3>about Apple, for example, raising services prices with Apple Music.

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<v Speaker 3>Spotify is growing its subscriber base. Why is it podcasts?

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<v Speaker 3>Is it the music library? There must be a reason

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<v Speaker 3>that they're continuing this growth narrative at least.

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<v Speaker 5>No absolutely, So you know, I'll probably try and split

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<v Speaker 5>that down into two components. That becomes a bit more

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<v Speaker 5>clear so we can see the emerging picture. Let's move

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<v Speaker 5>in to the developed markets first and look at the

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<v Speaker 5>premium subscribers that first off Spotify. The one thing that's

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<v Speaker 5>been able to do in a fantastic way is have

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<v Speaker 5>very strong brand equity across the board. It's got a

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<v Speaker 5>powerful first mover advantage and it's also developed. It's also

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<v Speaker 5>been so ingrained into how consumers tend to user product

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<v Speaker 5>that Spotify. For a lot of people becomes the go

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<v Speaker 5>to that they end up using. It's easier for them

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<v Speaker 5>to acquire those customers and have them on. So in

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<v Speaker 5>the premium of the space, you know, they're doing quite

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<v Speaker 5>well over there as opposed to other players who will

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<v Speaker 5>ruddle in the market. But if you're looking at it

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<v Speaker 5>from the perspective of emerging markets, you know, some of

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<v Speaker 5>the interviews we have done where we've looked at Spotify

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<v Speaker 5>in the Middle East and North Africa and India, Latin America. Again,

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<v Speaker 5>they spoke about that Latin American performances earnings. They are

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<v Speaker 5>going very aggressive in terms of their marketing spend over there.

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<v Speaker 5>We'll talk about that praft ability consideration, but Spotify appeers

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<v Speaker 5>to have realized that longer term. Again, longer term, yes,

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<v Speaker 5>if they're able to craft these developed markets, that's how

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<v Speaker 5>they're going to be able to get that praftability and scale.

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<v Speaker 3>Hey, Caroline, the big theme of this earning season is

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<v Speaker 3>artificial intelligence. When I open Spotify, the platform knows what

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<v Speaker 3>I want. It's red hot chili peppers every time. But

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<v Speaker 3>what's the really clearly when it comes to Spotify is

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<v Speaker 3>the big question.

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<v Speaker 2>Yeah, and really the investments is making in technology and

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<v Speaker 2>that actually remember the AIDJ that we got to play

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<v Speaker 2>with a little bit earlier in the quarter ed and

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<v Speaker 2>suddenly to your point, therefore are they making the rights

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<v Speaker 2>investments because many felt that they were having to dial

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<v Speaker 2>back some of that spending, particularly in this overall focus

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<v Speaker 2>of podcasts. But they're still having to spend to deliver

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<v Speaker 2>us the content we want in the right time.

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<v Speaker 5>Absolutely, and so here's a big theme, right. I think

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<v Speaker 5>Daniel lact came out in twenty twenty two and he

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<v Speaker 5>mentioned that we're going to see reduce spending at that

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<v Speaker 5>particular time. The experts we have interviewing across the board

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<v Speaker 5>the reader has been that this is not necessarily going

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<v Speaker 5>to be the case. If you look at the ad

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<v Speaker 5>supported dear first off, you know, in terms of just

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<v Speaker 5>that ability to give the targeted advertisements, Spotify hasn't been

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<v Speaker 5>able to crack that just yet. It's sort of more

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<v Speaker 5>over the counter, so to speak. So it really needs

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<v Speaker 5>to invest further in terms of the ad dech there.

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<v Speaker 5>On top of that, we saw them go ahead with

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<v Speaker 5>more podcast acquisitions and again with more acquisitions in terms

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<v Speaker 5>of the tech there, it really needs to build out

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<v Speaker 5>a more sophisticated targeted meaningful system to do this. So

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<v Speaker 5>again more spending in that element, but it is spending

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<v Speaker 5>in the right direction. But again spending is required onto

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<v Speaker 5>the flip side, moving into the audiobooks that I'm a

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<v Speaker 5>fantastic decision across the board, but right is evident that

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<v Speaker 5>the company still needs to spend over there. So sort

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<v Speaker 5>of the twenty twenty two narrative that we are going

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<v Speaker 5>to slow down in terms of our investments is not

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<v Speaker 5>ideally going to play out over the course of the

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<v Speaker 5>next year a year and a half while they buff

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<v Speaker 5>up that technology throw an AI into the mixtup now

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<v Speaker 5>being an increased focus on that.

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<v Speaker 3>Sandy Shama fir Bridge senior analysts, like many Cara one

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<v Speaker 3>of those that says profitability will come with scale, kind

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<v Speaker 3>of this catch twenty two situation.

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<v Speaker 6>Anyway, today we're going to get.

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<v Speaker 3>Results from Microsoft and Alphabet after the bell. For that,

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<v Speaker 3>we bring in Bloomberg into intelligence senior analysts and rag

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<v Speaker 3>Rana and rag let's start with Microsoft. What is it

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<v Speaker 3>that you want to see from this company? What is

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<v Speaker 3>it that's going to bring you some potential outside surprise.

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<v Speaker 7>So I would say the comments would be most critical

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<v Speaker 7>because you know so far we have seen a downward

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<v Speaker 7>trajectory in cloud sales, infrastructure sales PC. I mean throughout

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<v Speaker 7>the tire ecosystem. You know, we are looking at slow

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<v Speaker 7>down and demand. You know, any comments about even stabilization

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<v Speaker 7>would I think be welcomed by investors.

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<v Speaker 2>What's interesting, Ana Argus, We've almost moved away from fundamentals

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<v Speaker 2>with Microsoft a little bit. It's caught up been the

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<v Speaker 2>hypeer AI. How much do you want to hear about

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<v Speaker 2>future revenue addition from this investment or are you looking

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<v Speaker 2>more than in the here and now it's not really prevalent.

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<v Speaker 7>See if they give a guideline that, you know, they

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<v Speaker 7>should start seeing some kind of a revenue upside maybe next.

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<v Speaker 2>Quarter or the quarter after that, people will like that.

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<v Speaker 7>But frankly speaking, this is so much in the test

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<v Speaker 7>phase right now that the addition to cloud revenue or

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<v Speaker 7>other areas, it's going to be a while before we

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<v Speaker 7>see that. So I think the big growth factor or

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<v Speaker 7>the big factor today is where is enterprise tex spending

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<v Speaker 7>and what should we expect over the next couple of quarters.

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<v Speaker 3>If we're going to try and read across the entirety

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<v Speaker 3>of learning season, what I take away from your preview

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<v Speaker 3>decks is the bread and butter businesses are under the spotlight.

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<v Speaker 3>What we want to see is some of the other

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<v Speaker 3>sides of their business perform. You take Google as an

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<v Speaker 3>example search we're worried cloud could be a boost.

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<v Speaker 6>Yeah.

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<v Speaker 7>See for Google, for example, the cloud business is small

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<v Speaker 7>but growing very well. I mean, I think this is

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<v Speaker 7>an area where they have differentiated compared to rivals, and

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<v Speaker 7>I think you know they have their space in the

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<v Speaker 7>top vendors. I mean, Amazon's never going to lose their

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<v Speaker 7>top spot in our view, Microsoft's going to remain the

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<v Speaker 7>number two player there, but Google is going to be

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<v Speaker 7>a very strong number three contender for cloud infrastructure services,

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<v Speaker 7>and I think they have done a good job about it.

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<v Speaker 2>Overall. How is the market positioned for these numbers, do

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<v Speaker 2>you think? I mean, have we ridden on hype for

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<v Speaker 2>both names, and we're worried that overall we could see

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<v Speaker 2>a knee jerk reactions we tend to in after hours,

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<v Speaker 2>but then we start to drift through and really decide

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<v Speaker 2>where the growth potential is for these names.

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<v Speaker 7>I think the guidances obviously is the biggest key at

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<v Speaker 7>this point, because the numbers are going to be what

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<v Speaker 7>they have, and the guidance comes on the call, and

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<v Speaker 7>the question over THEATA is we are all expecting numbers

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<v Speaker 7>or guidance to be slightly down compared to what people

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<v Speaker 7>are expecting. But if it's really bad, then I think

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<v Speaker 7>it's going to be a bad day tomorrow. If they

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<v Speaker 7>go out and say, you know, we have seen some

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<v Speaker 7>stabilization in new growth, and then you know it's going

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<v Speaker 7>to be the exact opposite of that.

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<v Speaker 2>I'll see, of course, ed how cost cutting comes into

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<v Speaker 2>all of that as well.

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<v Speaker 3>Yeah, we will do in Gosh, what a busy we've

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<v Speaker 3>got ahead of us. Bloom meg Instelligences, Anna rag Rana,

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<v Speaker 3>thank you.

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<v Speaker 2>Now some nineteen major online platforms and search engines, including YouTube, Facebook, Instagram, Twitter, Well,

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<v Speaker 2>they're going to be subject to extra scrutiny and potential

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<v Speaker 2>fines under new content moderation rules set by the European Union.

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<v Speaker 2>Bloomeg's Amy Tonson joins us. Now just update us on

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<v Speaker 2>will remind us what is the Digital Services Act?

0:10:55.120 --> 0:10:55.360
<v Speaker 6>Sure?

0:10:55.520 --> 0:10:58.800
<v Speaker 8>Yeah, the Digital Services Acts get rolled out by the

0:10:58.840 --> 0:11:03.160
<v Speaker 8>European Commission last year and it's all about raining in

0:11:03.320 --> 0:11:07.240
<v Speaker 8>what big tech companies can do with your data. So

0:11:07.400 --> 0:11:11.760
<v Speaker 8>it includes things like bands on serving ads to minors,

0:11:12.840 --> 0:11:18.040
<v Speaker 8>bands on serving ads based on what the Commission calls

0:11:18.120 --> 0:11:24.240
<v Speaker 8>sensitive personal characteristics like sexual orientation. It's got rules about

0:11:24.400 --> 0:11:30.120
<v Speaker 8>combating this info. It's got additional reporting requirements and transparency

0:11:30.200 --> 0:11:32.160
<v Speaker 8>requirements that these guys are going to have to follow.

0:11:33.360 --> 0:11:38.520
<v Speaker 3>Hey, Amy, there's nineteen companies technology names potentially impacted, some

0:11:38.760 --> 0:11:42.120
<v Speaker 3>more than others. Which are those names caught by these

0:11:42.240 --> 0:11:44.400
<v Speaker 3>rules and sort of the strengthening of the rules.

0:11:46.080 --> 0:11:48.080
<v Speaker 2>Yeah, it's nobody.

0:11:48.080 --> 0:11:50.880
<v Speaker 8>Who'd surprise you. I think it's anybody with more than

0:11:51.000 --> 0:11:53.120
<v Speaker 8>forty five million monthly.

0:11:52.920 --> 0:11:57.319
<v Speaker 2>Active users in Europe. So it's all the big guys.

0:11:57.480 --> 0:12:02.640
<v Speaker 8>It's a number of Google's platforms, it's Metas platforms, Facebook

0:12:02.679 --> 0:12:09.240
<v Speaker 8>and Instagram, it's Snapchat, it's TikTok, it's Amazon, it's Apple,

0:12:10.280 --> 0:12:12.040
<v Speaker 8>a lot of the big international tech companies.

0:12:12.120 --> 0:12:14.120
<v Speaker 2>So getting getting caught up in this, and that's what

0:12:14.200 --> 0:12:15.240
<v Speaker 2>it was meant for.

0:12:15.440 --> 0:12:15.680
<v Speaker 8>Really.

0:12:16.800 --> 0:12:19.800
<v Speaker 3>Yeah, and the penalties for some of those names potentially

0:12:19.920 --> 0:12:22.959
<v Speaker 3>quite severe as a proportion of global revenue. Thanks to

0:12:22.960 --> 0:12:25.880
<v Speaker 3>Bloomberg's Amy Thompson, who's leading our tech coverage in the

0:12:26.520 --> 0:12:29.680
<v Speaker 3>Emia region. Now, speaking of Twitter, some Twitter users are

0:12:29.720 --> 0:12:33.440
<v Speaker 3>growing weary of using the platform. Since Elon Musk's takeover,

0:12:33.640 --> 0:12:37.959
<v Speaker 3>others are turning to Blue Sky as a possible alternative.

0:12:38.320 --> 0:12:40.880
<v Speaker 3>That's if you can make it off the waitlist is

0:12:41.080 --> 0:12:45.000
<v Speaker 3>account Saisia Counts joins Us, Bloomberg News, Social Media Report Asia.

0:12:45.280 --> 0:12:47.040
<v Speaker 6>What is Blue Sky? Where's this come from?

0:12:48.280 --> 0:12:51.240
<v Speaker 9>Yeah, it's a Twitter alternative. As you mentioned, right, in

0:12:51.320 --> 0:12:54.520
<v Speaker 9>the wake of Elon muss taking over Twitter, a lot

0:12:54.559 --> 0:12:56.640
<v Speaker 9>of people have not been happy with the platform, whether

0:12:56.679 --> 0:13:00.760
<v Speaker 9>it's from a colientent moderation perspective, all the changes of verification,

0:13:01.360 --> 0:13:04.280
<v Speaker 9>and so blue Sky is another alternative. It looks very

0:13:04.320 --> 0:13:06.719
<v Speaker 9>similar to Twitter if you see it, and it's got

0:13:06.760 --> 0:13:10.319
<v Speaker 9>the backing of Jack Dorsey, who obviously was really involved

0:13:10.400 --> 0:13:12.840
<v Speaker 9>with Twitter from the early days, and so that's giving

0:13:12.920 --> 0:13:15.480
<v Speaker 9>people some confidence to want to try out the platform.

0:13:15.679 --> 0:13:18.439
<v Speaker 2>Yeah, what is it about? Quarter of a million iPhone

0:13:19.000 --> 0:13:22.400
<v Speaker 2>downloads so far? I mean, nowhere near Twitter's overall use case.

0:13:22.520 --> 0:13:25.800
<v Speaker 2>But Ayisha, how is it distinct not only from Twitter,

0:13:25.920 --> 0:13:28.640
<v Speaker 2>but distinct from other competitors out there? I'm thinking of Masteredon,

0:13:28.720 --> 0:13:31.760
<v Speaker 2>which also wants to be some sort of decentralized social platform.

0:13:33.040 --> 0:13:35.840
<v Speaker 9>I mean that's the challenge, right, is how do you differentiate.

0:13:36.240 --> 0:13:38.400
<v Speaker 9>A lot of them are very very similar to Twitter.

0:13:38.440 --> 0:13:41.120
<v Speaker 9>They're going to look very similar on the feed right now.

0:13:41.240 --> 0:13:43.640
<v Speaker 9>Blue Sky has a waitlist, so in some ways they're

0:13:43.679 --> 0:13:45.800
<v Speaker 9>trying to control how many people can be on the platform.

0:13:46.320 --> 0:13:50.120
<v Speaker 9>You mentioned trying to have sort of a decentralized open protocol.

0:13:50.480 --> 0:13:53.200
<v Speaker 9>If you think about massed on, they have different servers,

0:13:53.280 --> 0:13:55.400
<v Speaker 9>so you have to be on a server to follow someone,

0:13:55.720 --> 0:13:58.200
<v Speaker 9>and so that gets a little bit more complicated. Blue

0:13:58.240 --> 0:14:01.160
<v Speaker 9>Sky's a little bit more straightforward in terms of onboarding,

0:14:01.520 --> 0:14:03.679
<v Speaker 9>but it's really going to be that's going to be

0:14:03.720 --> 0:14:05.960
<v Speaker 9>the question moving forward. How do they differentiate when they're

0:14:05.960 --> 0:14:06.680
<v Speaker 9>all very similar.

0:14:08.280 --> 0:14:10.760
<v Speaker 6>I mean, Caro, they look identical to me. I don't

0:14:10.800 --> 0:14:11.240
<v Speaker 6>know about you.

0:14:11.480 --> 0:14:15.040
<v Speaker 3>Like Paragagrowell, for example, is believed to have gone to

0:14:15.080 --> 0:14:18.200
<v Speaker 3>Blue Sky. People have been sharing screenshots of his profile

0:14:18.559 --> 0:14:21.280
<v Speaker 3>on Twitter, but when you're scrolling through, it just looks

0:14:21.360 --> 0:14:21.760
<v Speaker 3>like Twitter.

0:14:21.920 --> 0:14:25.880
<v Speaker 2>Yeah, but maybe that's not surprising given it was basically

0:14:26.000 --> 0:14:28.720
<v Speaker 2>born out of Twitter, right as I mean, its history

0:14:28.840 --> 0:14:31.360
<v Speaker 2>is that it was backed in many ways and sort

0:14:31.360 --> 0:14:33.200
<v Speaker 2>of a startup within the company.

0:14:35.080 --> 0:14:37.840
<v Speaker 9>Right, So it's not super surprising. And you see the

0:14:37.880 --> 0:14:40.680
<v Speaker 9>same thing with other alternatives. There's an alternative called T

0:14:40.880 --> 0:14:44.640
<v Speaker 9>two that was created by former Twitter employees. Like all

0:14:44.720 --> 0:14:47.080
<v Speaker 9>of them are sort of playing off of what Twitter

0:14:47.160 --> 0:14:49.280
<v Speaker 9>did because it was successful at what it did. The

0:14:49.400 --> 0:14:51.880
<v Speaker 9>question will be will they be able to really convince

0:14:52.040 --> 0:14:54.440
<v Speaker 9>users to come on in a massive way As you

0:14:54.520 --> 0:14:57.680
<v Speaker 9>mentioned right, two hundred and twenty five thousand or so downloads,

0:14:58.000 --> 0:15:00.480
<v Speaker 9>and you think about Twitter which has five hundre million

0:15:00.600 --> 0:15:03.040
<v Speaker 9>monthly active users according to US, So it's going to

0:15:03.160 --> 0:15:05.520
<v Speaker 9>really be a challenge to scale. I think that's what

0:15:05.600 --> 0:15:07.800
<v Speaker 9>we're going to see over the coming months and years.

0:15:08.680 --> 0:15:10.720
<v Speaker 3>I think it's important nations go back to the two

0:15:10.920 --> 0:15:15.440
<v Speaker 3>big changes of the Twitter platform recently, which is subscribers

0:15:16.720 --> 0:15:20.040
<v Speaker 3>and also verification. Just remind us what the latest on

0:15:20.080 --> 0:15:20.920
<v Speaker 3>both those fronts are.

0:15:22.360 --> 0:15:25.040
<v Speaker 9>Yes, So if you think about verification, you have to

0:15:25.120 --> 0:15:27.480
<v Speaker 9>sign up for Twitter Blue, which costs about eight dollars

0:15:27.520 --> 0:15:30.240
<v Speaker 9>per month, have a display name, a photo, and a number,

0:15:30.280 --> 0:15:32.680
<v Speaker 9>and then you get your blue check mark. Obviously, that's

0:15:32.760 --> 0:15:37.000
<v Speaker 9>been really challenging because you have established organizations from news

0:15:37.040 --> 0:15:41.720
<v Speaker 9>institutions to political figures, to athletes and celebrities that lost

0:15:41.760 --> 0:15:44.640
<v Speaker 9>their legacy checkmerks. So it's not about being notable anymore.

0:15:44.760 --> 0:15:48.840
<v Speaker 9>So that's one huge change. Part of that is subscribing

0:15:48.920 --> 0:15:51.120
<v Speaker 9>to Twitter Blue. But then there's also a new feature

0:15:51.160 --> 0:15:53.960
<v Speaker 9>release where you can actually subscribe to an individual person

0:15:54.040 --> 0:15:56.880
<v Speaker 9>and get access to additional content. There's been a ton

0:15:57.000 --> 0:16:00.600
<v Speaker 9>of changes on the platform. But what's the challenge. It's

0:16:00.680 --> 0:16:03.800
<v Speaker 9>really hard to tell which accounts are authentic or are not,

0:16:04.160 --> 0:16:06.200
<v Speaker 9>and so that's really been one of the main sticking points.

0:16:06.720 --> 0:16:09.920
<v Speaker 2>As Disney will attest earlier this week, Asia counts. Thank

0:16:10.000 --> 0:16:12.840
<v Speaker 2>you so much, brilliant reporting as always. Meanwhile, coming up,

0:16:13.200 --> 0:16:15.560
<v Speaker 2>there's another win for Apple in the fight over its

0:16:15.600 --> 0:16:19.680
<v Speaker 2>app store policies. We'll dig in from New York, San Francisco.

0:16:19.720 --> 0:16:20.920
<v Speaker 2>This is Blomberg.

0:16:53.320 --> 0:16:54.600
<v Speaker 6>Time for Wall Street Beat Karen.

0:16:54.640 --> 0:16:58.520
<v Speaker 3>Today we're focusing on First Republic Bank, actually San Francisco,

0:16:58.640 --> 0:17:01.880
<v Speaker 3>California based bank after the collapse of Silicon Valley Bank.

0:17:02.440 --> 0:17:05.240
<v Speaker 3>Were that that chart says it all. They've reported earnings.

0:17:05.320 --> 0:17:09.359
<v Speaker 3>Depositive flight is a huge concern. The shares down ninety

0:17:09.400 --> 0:17:12.840
<v Speaker 3>percent year to date now, and their strategic options is

0:17:12.840 --> 0:17:14.400
<v Speaker 3>the word that they're using.

0:17:14.680 --> 0:17:16.320
<v Speaker 2>I mean, there is the year to stay chart that's

0:17:16.440 --> 0:17:19.000
<v Speaker 2>just so painful. I mean, all of this, the fact

0:17:19.040 --> 0:17:23.199
<v Speaker 2>that they missed the analyst expectations for consumer deposits. They

0:17:23.280 --> 0:17:26.800
<v Speaker 2>plunged forty one percent worse than expected, even after the

0:17:26.920 --> 0:17:28.880
<v Speaker 2>rescue attempts. Are the big banks here in the US

0:17:29.000 --> 0:17:31.879
<v Speaker 2>they lent them thirty billion of their own cash deposited.

0:17:31.960 --> 0:17:34.560
<v Speaker 2>That so really the fact that we're hearing that they're

0:17:34.600 --> 0:17:36.879
<v Speaker 2>going to have to cut people, it doesn't seem to

0:17:36.960 --> 0:17:39.280
<v Speaker 2>put an end to its own what seemed to be

0:17:39.320 --> 0:17:42.119
<v Speaker 2>quite idiosyncratic issues now ed for.

0:17:42.160 --> 0:17:45.200
<v Speaker 3>That bank, particularly an injection of capital, but it was

0:17:45.240 --> 0:17:47.240
<v Speaker 3>supposed to be an injection of confidence. And as it

0:17:47.280 --> 0:17:51.600
<v Speaker 3>relates to our audience, venture capitalists startups were banking with

0:17:51.680 --> 0:17:54.320
<v Speaker 3>First Republic. But last night on Twitter, just so many

0:17:54.359 --> 0:17:57.040
<v Speaker 3>people talking about how did we get here? How did

0:17:57.080 --> 0:17:58.040
<v Speaker 3>it get even worse?

0:17:58.480 --> 0:18:00.640
<v Speaker 2>Yeah, and the fact that they so focused on big

0:18:00.720 --> 0:18:04.040
<v Speaker 2>mortgages to big wealthy people. And yes, they moved elsewhere.

0:18:04.400 --> 0:18:06.560
<v Speaker 2>Let's talk about something else, moving away from the world

0:18:06.640 --> 0:18:09.680
<v Speaker 2>of well Wall Street to the world of key tech,

0:18:09.720 --> 0:18:12.239
<v Speaker 2>which is Apple. And in fact we're talking legal here.

0:18:12.280 --> 0:18:14.680
<v Speaker 2>It's just one and appeals court ruling upholding its app

0:18:14.720 --> 0:18:17.000
<v Speaker 2>storece policies, and then a trust challenge that the course

0:18:17.080 --> 0:18:19.360
<v Speaker 2>was brought by Epic games. Remember the maker of Fortnite

0:18:19.680 --> 0:18:23.120
<v Speaker 2>tes bring in Blueberg's intelligence is Jennifer Ree, who, Well,

0:18:23.600 --> 0:18:26.719
<v Speaker 2>it had already sort of self imposed some changes here,

0:18:26.920 --> 0:18:29.800
<v Speaker 2>been trying to see these headwinds coming on it. But

0:18:30.240 --> 0:18:33.280
<v Speaker 2>the fact that the courts sort of upheld its side

0:18:33.320 --> 0:18:35.600
<v Speaker 2>of the story we surprised.

0:18:35.680 --> 0:18:38.040
<v Speaker 10>You know, not too surprised, somewhat, I think, you know,

0:18:38.080 --> 0:18:40.040
<v Speaker 10>I heard the argument on appeal, and it was really

0:18:40.080 --> 0:18:42.000
<v Speaker 10>hard to call what the justices we're going to do

0:18:42.440 --> 0:18:46.040
<v Speaker 10>because the lower court opinion was somewhat controversial, well thought out,

0:18:46.359 --> 0:18:49.520
<v Speaker 10>but somewhat controversial. When you had this three panel, the judges,

0:18:49.600 --> 0:18:51.239
<v Speaker 10>three of them, and you need two out of one

0:18:51.400 --> 0:18:53.800
<v Speaker 10>out of the three to vote. One spoke a lot,

0:18:53.880 --> 0:18:55.920
<v Speaker 10>seemed to be for Apple, one spoke a lot seemed

0:18:55.920 --> 0:18:57.600
<v Speaker 10>to be epic, and the third one didn't say a word.

0:18:58.000 --> 0:18:59.960
<v Speaker 10>So it was a little bit hard to predict, you know.

0:19:00.000 --> 0:19:01.760
<v Speaker 10>But at the end of the day, they basically pretty

0:19:01.840 --> 0:19:04.359
<v Speaker 10>much affirmed everything that the lower court had done. They

0:19:04.480 --> 0:19:07.240
<v Speaker 10>disagreed with some things, but they said where they disagreed

0:19:07.240 --> 0:19:09.960
<v Speaker 10>it was harmless, meaning even if the judge had done

0:19:10.000 --> 0:19:12.080
<v Speaker 10>it differently, it still would have come out the same.

0:19:12.240 --> 0:19:14.840
<v Speaker 10>The ultimate outcome so it doesn't really matter and they

0:19:14.880 --> 0:19:16.880
<v Speaker 10>don't have to go back to her, and they sent

0:19:16.960 --> 0:19:18.720
<v Speaker 10>it back to her on just a little issue of

0:19:18.760 --> 0:19:21.320
<v Speaker 10>whether or not Epic has to pay some of Apple's

0:19:21.440 --> 0:19:25.200
<v Speaker 10>legal bills, just a very minor thing, really not the

0:19:25.400 --> 0:19:27.760
<v Speaker 10>main aspect of this litigation. But for the most part

0:19:27.880 --> 0:19:30.760
<v Speaker 10>it holds, and Apple's walled garden still survives.

0:19:31.880 --> 0:19:34.760
<v Speaker 3>So jen Apple came out after this decision and said

0:19:35.200 --> 0:19:37.360
<v Speaker 3>it was a resounding victory. I think they literally used

0:19:37.400 --> 0:19:39.879
<v Speaker 3>those words because nine out of the ten claims were

0:19:39.920 --> 0:19:40.959
<v Speaker 3>settled in their favor.

0:19:41.359 --> 0:19:43.159
<v Speaker 6>But to the point you just made, one was not

0:19:44.040 --> 0:19:45.199
<v Speaker 6>Can you explain that to us?

0:19:45.359 --> 0:19:49.080
<v Speaker 3>Was there any positive that Epic in particular could take away?

0:19:49.760 --> 0:19:51.800
<v Speaker 10>You know, the most interesting thing is that the one

0:19:51.920 --> 0:19:55.280
<v Speaker 10>claim that was against Apple wasn't really something Epic asked for.

0:19:56.040 --> 0:19:58.760
<v Speaker 10>So what that was was an abolition on what are

0:19:58.800 --> 0:20:01.560
<v Speaker 10>called anti steering war, and these are rules Apple had

0:20:01.600 --> 0:20:05.280
<v Speaker 10>imposed on developers that didn't allow developers within the apps

0:20:05.359 --> 0:20:08.800
<v Speaker 10>in the app store to push consumers somewhere else outside

0:20:08.840 --> 0:20:10.760
<v Speaker 10>of the app store, Let's say, to buy the app

0:20:10.960 --> 0:20:13.800
<v Speaker 10>for less expensive price, or make in app purchases or

0:20:13.880 --> 0:20:16.879
<v Speaker 10>less expensive expensive such as going to the developer's own

0:20:16.920 --> 0:20:19.920
<v Speaker 10>website or app. What the court said is these don't

0:20:20.000 --> 0:20:23.280
<v Speaker 10>violate antitrust rules, but they do violate a California's state

0:20:23.400 --> 0:20:26.560
<v Speaker 10>law against unfair competition. So Apple, you have to let

0:20:26.600 --> 0:20:31.240
<v Speaker 10>these developers steer users if developers choose to do so.

0:20:31.440 --> 0:20:34.640
<v Speaker 10>And now was somewhat good for Epic and somewhat bad

0:20:34.720 --> 0:20:37.159
<v Speaker 10>for Apple, though Apple was kind of already going in

0:20:37.240 --> 0:20:37.720
<v Speaker 10>that direction.

0:20:38.760 --> 0:20:41.760
<v Speaker 2>What's interesting and is all of this is y US focused.

0:20:41.880 --> 0:20:44.040
<v Speaker 2>We're talking about state law, we're talking about federal law,

0:20:44.359 --> 0:20:46.720
<v Speaker 2>but actually it's Europe in many ways that is changing

0:20:46.760 --> 0:20:48.000
<v Speaker 2>the business model of Apple.

0:20:48.080 --> 0:20:50.640
<v Speaker 3>I would feel, well, that's right, Jenn, because I think

0:20:50.880 --> 0:20:54.080
<v Speaker 3>they're responding to the Digital Markets Acts requirement and they're

0:20:54.280 --> 0:20:58.600
<v Speaker 3>basically opening the doors to outsiders in that market, right, and.

0:20:58.640 --> 0:21:01.200
<v Speaker 10>We understand Apple's already working on that in Europe and

0:21:01.280 --> 0:21:03.040
<v Speaker 10>they have to. I mean, this is going to go

0:21:03.160 --> 0:21:05.920
<v Speaker 10>into effect in twenty twenty four. Apple's going to have

0:21:06.040 --> 0:21:09.400
<v Speaker 10>to allow alternative app stores on iOS mobile devices, which

0:21:09.440 --> 0:21:11.960
<v Speaker 10>is exactly what Epic was pushing for in the United States.

0:21:12.240 --> 0:21:14.840
<v Speaker 10>And also there was some legislation that was pushing for

0:21:14.920 --> 0:21:17.640
<v Speaker 10>the same thing in the US had traction last year

0:21:17.960 --> 0:21:20.080
<v Speaker 10>you know, I'm not so sure it'll have traction going

0:21:20.200 --> 0:21:22.480
<v Speaker 10>forward now that we have this divide in Congress, but

0:21:22.600 --> 0:21:25.399
<v Speaker 10>we'll see, because maybe this court decision could sort of

0:21:25.520 --> 0:21:28.080
<v Speaker 10>light some fires here in the United States, and maybe

0:21:28.119 --> 0:21:30.440
<v Speaker 10>they'll push forward legislation that does the same thing the

0:21:30.520 --> 0:21:31.680
<v Speaker 10>Digital Markets Act does.

0:21:32.359 --> 0:21:35.920
<v Speaker 2>End of the day, Global Companies, Global floor restrictions. We

0:21:36.040 --> 0:21:39.200
<v Speaker 2>thank you as always, Bloomberg Intelligence, Jennifer Regius, so on

0:21:39.280 --> 0:21:49.520
<v Speaker 2>the money, then welcome back to Blouebad Technology. I'm Carolin

0:21:49.600 --> 0:21:49.879
<v Speaker 2>hid in.

0:21:49.880 --> 0:21:52.120
<v Speaker 6>New York and I made lot low in San Francisco.

0:21:52.200 --> 0:21:54.040
<v Speaker 3>Caroline, that's going to check on the markets because I

0:21:54.080 --> 0:21:56.600
<v Speaker 3>think earning season's main driver. Right look at then as

0:21:56.640 --> 0:21:59.040
<v Speaker 3>that one hundred, we're off by a percentage point.

0:21:59.080 --> 0:22:00.639
<v Speaker 6>Spotify is kind of bright spot.

0:22:00.720 --> 0:22:03.760
<v Speaker 3>But actually across some of those indices, a lot of

0:22:03.840 --> 0:22:07.400
<v Speaker 3>names are disappointed moving to the downside, underperformance and semiconductors,

0:22:07.440 --> 0:22:09.480
<v Speaker 3>and you talked about it earlier, Caroline, And as that

0:22:09.560 --> 0:22:13.280
<v Speaker 3>Golden Dragon Index, this basket of US listed Chinese tech

0:22:13.359 --> 0:22:16.280
<v Speaker 3>companies down three percent. We're in a November low. We're

0:22:16.359 --> 0:22:19.280
<v Speaker 3>down for a sixth consecutive session. There's not that much

0:22:19.400 --> 0:22:21.280
<v Speaker 3>out there in way of headlines, but I think there's

0:22:21.280 --> 0:22:23.879
<v Speaker 3>a lot of geopolitical risk being priced in here. You

0:22:23.920 --> 0:22:26.000
<v Speaker 3>look at the ten year old, we're off seven basis

0:22:26.040 --> 0:22:29.560
<v Speaker 3>points three point four percent. In terms of specific movers,

0:22:29.600 --> 0:22:32.479
<v Speaker 3>we're looking at earning seasons the main driver here right now.

0:22:32.880 --> 0:22:36.520
<v Speaker 3>You know, we're talking about expectations for investors that across

0:22:36.600 --> 0:22:39.560
<v Speaker 3>the technology sector are kind of really focused on a

0:22:39.720 --> 0:22:42.480
<v Speaker 3>drop in earnings year on year because of all the

0:22:42.560 --> 0:22:44.879
<v Speaker 3>pain that we're going through right now in advertising, in

0:22:44.960 --> 0:22:47.800
<v Speaker 3>a slow down in corporate spending. So that's where we'll

0:22:47.880 --> 0:22:49.160
<v Speaker 3>check in over the next five days.

0:22:49.280 --> 0:22:52.320
<v Speaker 2>Yeah, risk sentiment a bit low, but there are still

0:22:52.400 --> 0:22:55.200
<v Speaker 2>deals being done maybe in the private market too. We're

0:22:55.200 --> 0:22:56.639
<v Speaker 2>going to talk about just that z in here. It's

0:22:56.640 --> 0:22:59.720
<v Speaker 2>an insurance data and technology firm backed by Eldridge Industries.

0:23:00.000 --> 0:23:03.360
<v Speaker 2>It's just agreed ed to buy digital insurance marketplace policy Genius.

0:23:03.680 --> 0:23:05.879
<v Speaker 2>The deal, which is actually first reported by Bloomberg, is

0:23:05.920 --> 0:23:08.320
<v Speaker 2>now official as of today, So we thought we'd talk

0:23:08.359 --> 0:23:11.040
<v Speaker 2>about it with the Zinny CEO, Michelle Trony for more

0:23:11.280 --> 0:23:14.160
<v Speaker 2>alongside our very own Shnali Bassack, who as always brings

0:23:14.240 --> 0:23:15.879
<v Speaker 2>us such great interviews and we thank her for it.

0:23:16.320 --> 0:23:18.800
<v Speaker 2>Michelle nice British accent. We're about to hear from you.

0:23:19.359 --> 0:23:21.440
<v Speaker 2>Tell us about what you're trying to do here sort

0:23:21.440 --> 0:23:23.520
<v Speaker 2>of the consumer facing with the back end. What do

0:23:23.560 --> 0:23:24.920
<v Speaker 2>you provide that's different in the market.

0:23:25.160 --> 0:23:28.679
<v Speaker 1>Sure, thanks so much for having me. Yeah, so, Zinya

0:23:28.760 --> 0:23:32.840
<v Speaker 1>is really all about giving access to consumers, making sure

0:23:32.880 --> 0:23:35.760
<v Speaker 1>that they have education, that they have the right content,

0:23:35.840 --> 0:23:38.960
<v Speaker 1>they understand what insurance policies are right for them, and

0:23:39.080 --> 0:23:42.760
<v Speaker 1>then ensuring that the buying, the motion of buying, all

0:23:42.800 --> 0:23:45.520
<v Speaker 1>the way through the life cycle of owning the policy

0:23:45.680 --> 0:23:48.439
<v Speaker 1>and claim is a phenomenal experience end to end.

0:23:50.359 --> 0:23:53.160
<v Speaker 3>Hey, Michelle, talk us through the logic behind Policy Genius.

0:23:53.240 --> 0:23:57.040
<v Speaker 3>What was the motivator and also in this environment, was

0:23:57.119 --> 0:23:58.160
<v Speaker 3>it hard to get done?

0:24:00.880 --> 0:24:03.000
<v Speaker 1>Look, I think there's never a bad time to do

0:24:05.119 --> 0:24:06.320
<v Speaker 1>There's never a bad time to do.

0:24:06.359 --> 0:24:06.840
<v Speaker 6>A good deal.

0:24:07.080 --> 0:24:10.640
<v Speaker 1>And you know, when we found Policy Genius, we felt

0:24:10.680 --> 0:24:12.840
<v Speaker 1>like it would fit together super well for us and

0:24:12.920 --> 0:24:15.800
<v Speaker 1>accelerate the journey that we're on. You know, they were

0:24:15.880 --> 0:24:19.119
<v Speaker 1>some of the earliest insure tech pioneers. They built a

0:24:19.200 --> 0:24:23.320
<v Speaker 1>phenomenal consumer facing marketplace, has great technology at the heart

0:24:23.400 --> 0:24:26.080
<v Speaker 1>of it, goes everything from lead to fulfillment. We do

0:24:26.240 --> 0:24:31.440
<v Speaker 1>everything from issuance to claim for policies. Bringing those two

0:24:31.520 --> 0:24:34.720
<v Speaker 1>businesses together, we have a vision of open insurance, making

0:24:34.800 --> 0:24:38.320
<v Speaker 1>sure that it can really transform the life cycle of insurance.

0:24:38.640 --> 0:24:41.639
<v Speaker 1>We're a tech provider to carriers, We're a tech provider

0:24:41.680 --> 0:24:44.600
<v Speaker 1>to distributors, and now we're a tech provider and a

0:24:44.680 --> 0:24:45.800
<v Speaker 1>resource to consumers.

0:24:45.960 --> 0:24:48.040
<v Speaker 11>Now I'm kind of curious to tap into your expertise

0:24:48.080 --> 0:24:51.240
<v Speaker 11>here because you are using technology to really attack and

0:24:51.320 --> 0:24:54.160
<v Speaker 11>problems here. You've seen in the insurance industry, but you've

0:24:54.200 --> 0:24:56.880
<v Speaker 11>also been the CIO at UBS for five years, work

0:24:56.920 --> 0:24:58.720
<v Speaker 11>there for twenty five years. You're still on the board

0:24:58.760 --> 0:25:01.760
<v Speaker 11>of Deutsche Bank today, where you focus on technology. If

0:25:01.800 --> 0:25:04.600
<v Speaker 11>you look across finance, where are some of the most

0:25:04.640 --> 0:25:07.560
<v Speaker 11>compelling places that you can see technology being used to

0:25:07.600 --> 0:25:08.639
<v Speaker 11>really reinvent the wheel?

0:25:08.680 --> 0:25:08.800
<v Speaker 10>Here?

0:25:09.080 --> 0:25:12.800
<v Speaker 1>Sure, so look, you know at Deutsche Bank, can at

0:25:12.920 --> 0:25:17.359
<v Speaker 1>UBS and honestly across the whole insurance industry. Simplification is

0:25:17.440 --> 0:25:19.280
<v Speaker 1>at the heart of everything that we're trying to do.

0:25:19.800 --> 0:25:22.880
<v Speaker 1>These are old companies that have been around for decades.

0:25:22.920 --> 0:25:24.280
<v Speaker 1>You know, I have a lot of empathy for that.

0:25:24.720 --> 0:25:27.480
<v Speaker 1>I was a CIO for a long time, and you know,

0:25:27.520 --> 0:25:30.159
<v Speaker 1>you've got a lot of siloed information, which makes it

0:25:30.359 --> 0:25:33.440
<v Speaker 1>very difficult to give a phenomenal experience to your customers.

0:25:33.520 --> 0:25:36.879
<v Speaker 1>You know, when you look at you know, people's balance sheets,

0:25:36.920 --> 0:25:40.720
<v Speaker 1>Having great technology, having great data that sits you know,

0:25:40.880 --> 0:25:44.280
<v Speaker 1>in immutable type of smart contract platforms like we're building

0:25:44.320 --> 0:25:48.040
<v Speaker 1>it's in here, really gives you know, a different focus

0:25:48.240 --> 0:25:51.320
<v Speaker 1>for the technology spend that you then do. So when

0:25:51.359 --> 0:25:54.000
<v Speaker 1>you're if you're if you're on the cloud, if you've

0:25:54.040 --> 0:25:57.160
<v Speaker 1>got you know, cloud native applications, you can really focus

0:25:57.240 --> 0:25:59.880
<v Speaker 1>on things that differentiate your business and not on recon

0:26:00.000 --> 0:26:01.040
<v Speaker 1>stiling things all the time.

0:26:01.160 --> 0:26:03.920
<v Speaker 11>Why smart contracts, I mean, I'm curious because when people

0:26:04.000 --> 0:26:07.040
<v Speaker 11>think about the new transformative technology, they more explicitly say

0:26:07.119 --> 0:26:10.680
<v Speaker 11>blockchain or other kind of you know buzzwords terminal, yeah,

0:26:10.760 --> 0:26:13.440
<v Speaker 11>exactly that have become popularizers over the last couple of years.

0:26:13.720 --> 0:26:16.720
<v Speaker 1>You know, we have industries that are coming, you know,

0:26:17.080 --> 0:26:20.399
<v Speaker 1>highly regulated right where data privacy is like at the

0:26:20.480 --> 0:26:23.040
<v Speaker 1>heart of you know, whether people will trust you or not.

0:26:23.359 --> 0:26:26.600
<v Speaker 1>And smart contract technically, smart contract can live on top

0:26:26.680 --> 0:26:29.840
<v Speaker 1>of any type of technology, right we are building on

0:26:29.880 --> 0:26:33.160
<v Speaker 1>top of distributed ledges. I think the banks are also

0:26:33.240 --> 0:26:35.520
<v Speaker 1>doing the same kind of thing. What we're really talking

0:26:35.520 --> 0:26:38.720
<v Speaker 1>about is an immutable data asset that then all the

0:26:38.840 --> 0:26:42.320
<v Speaker 1>processes and the capabilities can come to that data as

0:26:42.359 --> 0:26:45.280
<v Speaker 1>opposed to you know, you having to move data around

0:26:45.280 --> 0:26:48.240
<v Speaker 1>an organization, which is very costly. So you know, macro

0:26:48.400 --> 0:26:51.600
<v Speaker 1>trends move to the cloud, it's still massive. I've been

0:26:51.600 --> 0:26:53.760
<v Speaker 1>hearing a lot of people saying, you know, that's slowing down,

0:26:54.119 --> 0:26:58.120
<v Speaker 1>certainly not for the big, big financial institutions and insurance

0:26:58.200 --> 0:27:02.080
<v Speaker 1>businesses that I work with. And obviously, you know, AI

0:27:02.320 --> 0:27:06.320
<v Speaker 1>is becoming more and more you know, relevant, available and

0:27:06.520 --> 0:27:07.720
<v Speaker 1>exciting for our industry.

0:27:07.800 --> 0:27:10.280
<v Speaker 2>Okay, so let's go there to the next new bright

0:27:10.440 --> 0:27:14.160
<v Speaker 2>thing of buzzwords. How are you thinking about it within sinnia.

0:27:14.240 --> 0:27:16.880
<v Speaker 2>How you think about making sure that mL and AI

0:27:17.160 --> 0:27:20.800
<v Speaker 2>is just an easy to access and building productivity for

0:27:20.880 --> 0:27:21.879
<v Speaker 2>your companies exactly?

0:27:21.920 --> 0:27:25.320
<v Speaker 1>Well, that's the word productivity, right, So we really see,

0:27:25.520 --> 0:27:29.159
<v Speaker 1>you know, where the AI capabilities and generitive IAI right now,

0:27:29.600 --> 0:27:32.520
<v Speaker 1>it's the start of this. It's about making us more productive,

0:27:32.840 --> 0:27:36.680
<v Speaker 1>but getting insights quicker, getting insights the customers quicker, making

0:27:36.760 --> 0:27:39.959
<v Speaker 1>everything flow better end to end, you know, and then

0:27:40.080 --> 0:27:43.000
<v Speaker 1>as we get more comfortable with the privacy and you

0:27:43.080 --> 0:27:45.719
<v Speaker 1>know the regulatory requirements, so we'll expose that through our

0:27:45.800 --> 0:27:49.680
<v Speaker 1>client interfaces and just make the whole process more productive.

0:27:50.760 --> 0:27:53.200
<v Speaker 3>Michelle, you're being nimble in the market with this deal.

0:27:53.800 --> 0:27:55.560
<v Speaker 3>I think what both eyes this all together is that

0:27:55.640 --> 0:27:59.040
<v Speaker 3>coming out of the SVB collapse, your industry kind of

0:27:59.280 --> 0:28:02.640
<v Speaker 3>acknowledges that global finance needs to modernize, whether it's through

0:28:02.720 --> 0:28:06.440
<v Speaker 3>AI or there's opportunity to move from sort of traditional

0:28:06.520 --> 0:28:10.200
<v Speaker 3>banking to look at the offerings from fintech. Has that

0:28:10.320 --> 0:28:13.840
<v Speaker 3>given you momentum your industry fintech more broadly.

0:28:14.320 --> 0:28:14.800
<v Speaker 6>I think so.

0:28:15.280 --> 0:28:18.080
<v Speaker 1>I think that people realize when you know, whether it's

0:28:18.080 --> 0:28:20.440
<v Speaker 1>a regional banks or you know, any other part of

0:28:20.520 --> 0:28:24.120
<v Speaker 1>the banking system that isn't operating in an efficient way,

0:28:24.680 --> 0:28:26.640
<v Speaker 1>you know a lot of times behind the scene there

0:28:27.119 --> 0:28:31.000
<v Speaker 1>that it's poor data, it's you know, too much technology.

0:28:31.119 --> 0:28:33.680
<v Speaker 1>You know, it's an environment with one of everything, and

0:28:33.920 --> 0:28:35.920
<v Speaker 1>it makes it very difficult to kind of, you know,

0:28:36.680 --> 0:28:38.480
<v Speaker 1>see the wood for the trees right. When you have

0:28:38.680 --> 0:28:42.960
<v Speaker 1>like clean data, clean technology, you know, you can manage

0:28:43.000 --> 0:28:45.719
<v Speaker 1>your balance sheet properly. You can see what your drivers

0:28:45.760 --> 0:28:47.640
<v Speaker 1>have costs are, you can see what your margin is,

0:28:47.960 --> 0:28:49.840
<v Speaker 1>and you understand the impact of the products that you're

0:28:49.960 --> 0:28:53.120
<v Speaker 1>serving up delivered to your consumers. So, you know, I

0:28:53.160 --> 0:28:55.360
<v Speaker 1>think it's behind a lot of that ed and I

0:28:55.440 --> 0:28:58.200
<v Speaker 1>think it will give a lot more momentum to people

0:28:58.320 --> 0:29:00.920
<v Speaker 1>really saying that we have to step back and actually

0:29:01.000 --> 0:29:04.040
<v Speaker 1>create like the technology and the infrastructure for the future,

0:29:04.400 --> 0:29:06.360
<v Speaker 1>not just kind of you know around the edges. And

0:29:06.520 --> 0:29:09.520
<v Speaker 1>you know, insure tech is you know, well behind fintech.

0:29:09.920 --> 0:29:12.840
<v Speaker 1>They're on their second innings now, and you know, and

0:29:12.920 --> 0:29:14.880
<v Speaker 1>we're hoping to be some of the pioneers of the

0:29:15.320 --> 0:29:17.480
<v Speaker 1>insure tech industry to do the same thing as.

0:29:17.400 --> 0:29:19.440
<v Speaker 11>Someone who's seen very many cycles of this, what are

0:29:19.480 --> 0:29:23.480
<v Speaker 11>the limitations particularly to AI in financial services.

0:29:24.480 --> 0:29:27.160
<v Speaker 1>Look, I think it's all about privacy and security, right.

0:29:27.280 --> 0:29:29.560
<v Speaker 1>It's you know, with everything that we do from a

0:29:29.640 --> 0:29:33.239
<v Speaker 1>technology perspective, working with regulators to make sure we all

0:29:33.360 --> 0:29:36.800
<v Speaker 1>are talking the same language people understand you know, what

0:29:36.920 --> 0:29:39.520
<v Speaker 1>are we doing to secure data? You know, what are

0:29:39.560 --> 0:29:42.280
<v Speaker 1>the risks that we're running, How can we recover you know,

0:29:42.800 --> 0:29:44.640
<v Speaker 1>cyber threats and attacks, et cetera.

0:29:44.720 --> 0:29:45.360
<v Speaker 6>All of those.

0:29:45.280 --> 0:29:47.800
<v Speaker 1>Things are think is that we have to work you know,

0:29:47.960 --> 0:29:51.200
<v Speaker 1>hand in hand, whether it's with regulators or honestly with

0:29:51.320 --> 0:29:54.480
<v Speaker 1>shareholders or customers to make sure they're comfortable we're taking

0:29:54.480 --> 0:29:56.360
<v Speaker 1>all the right steps that we can use these great

0:29:56.440 --> 0:30:00.800
<v Speaker 1>technologies that improve service and capabilities, but don't you know,

0:30:00.920 --> 0:30:03.240
<v Speaker 1>don't compromise their security or their privacy.

0:30:04.480 --> 0:30:06.040
<v Speaker 6>Dinier CEO Michelle Troney.

0:30:07.040 --> 0:30:08.640
<v Speaker 3>Great to have you add in New York and Bloomberg

0:30:08.640 --> 0:30:11.720
<v Speaker 3>shn Ali Bassek, who Caroline continues to bring us conversations

0:30:12.080 --> 0:30:14.720
<v Speaker 3>at the intersection of finance and technology.

0:30:14.800 --> 0:30:15.120
<v Speaker 6>We love it.

0:30:15.320 --> 0:30:17.120
<v Speaker 3>Right now, coming up, we're going to talk about the

0:30:17.120 --> 0:30:20.160
<v Speaker 3>trends to watch in the venture capital world. Generative AI,

0:30:20.440 --> 0:30:24.800
<v Speaker 3>creator economy. Guess who with carrot Light speeds Mike Minano.

0:30:49.240 --> 0:30:50.960
<v Speaker 3>Time for the VC roundup. So I think with the

0:30:51.000 --> 0:30:54.240
<v Speaker 3>new net zero emissions initiative for the first time, a

0:30:54.280 --> 0:30:57.240
<v Speaker 3>group of twenty three VC firms are banding together to

0:30:57.320 --> 0:31:01.520
<v Speaker 3>figure out how to decarbonize their portfolio. Through this Venture

0:31:01.560 --> 0:31:04.400
<v Speaker 3>Climate Alliance, member firms pledged to cut or net zero

0:31:04.520 --> 0:31:08.280
<v Speaker 3>out their own greenhouse gas missions by twenty thirty or earlier.

0:31:08.800 --> 0:31:12.240
<v Speaker 3>And former Salesforce co CEO Keith Block is launching a

0:31:12.280 --> 0:31:15.640
<v Speaker 3>venture capital firm, targeting four hundred million dollars for its

0:31:15.680 --> 0:31:19.680
<v Speaker 3>first fund. Smith Point Capital will invest in enterprise software,

0:31:19.720 --> 0:31:22.120
<v Speaker 3>particularly at the growth stage. Among those investing in the

0:31:22.200 --> 0:31:25.760
<v Speaker 3>fund are Kranini, Melon and billionaire David Tepper.

0:31:25.840 --> 0:31:27.440
<v Speaker 6>Caroline, I think we got some breaking use.

0:31:27.600 --> 0:31:30.920
<v Speaker 2>First Republic came out with its earnings disappointing on deposit outflows.

0:31:30.960 --> 0:31:34.000
<v Speaker 2>Now we understand it's weighing selling up from fifty billion

0:31:34.080 --> 0:31:37.080
<v Speaker 2>to one hundred billion dollars in assets. We're talking here,

0:31:37.160 --> 0:31:39.160
<v Speaker 2>long dated securities, we're talking mortgages.

0:31:39.320 --> 0:31:39.360
<v Speaker 10>Ed.

0:31:39.720 --> 0:31:42.160
<v Speaker 2>All of this is about an asset liability mismatch that

0:31:42.320 --> 0:31:44.959
<v Speaker 2>for the overall First Republic, California based bank has at

0:31:44.960 --> 0:31:47.320
<v Speaker 2>the moment, Maybe they sell those to US Bank said,

0:31:47.440 --> 0:31:50.840
<v Speaker 2>maybe it's about incentivizing them to buy them above their

0:31:50.920 --> 0:31:53.280
<v Speaker 2>market value. We know the impact that had on Silicon

0:31:53.360 --> 0:31:56.560
<v Speaker 2>Valley Bank, the fact that we've seen price destruction in

0:31:56.680 --> 0:31:59.760
<v Speaker 2>long dated bonds. So maybe you get a warrant preferred

0:31:59.760 --> 0:32:01.920
<v Speaker 2>ex to do that. And all of this, of course, said,

0:32:02.000 --> 0:32:03.920
<v Speaker 2>is about trying to stop being seized by the FDIC.

0:32:04.760 --> 0:32:06.400
<v Speaker 3>Yeah, and I go back to what we discussed earlier

0:32:06.440 --> 0:32:10.120
<v Speaker 3>in the show. When earnings hit last night, the seriousness

0:32:10.160 --> 0:32:12.360
<v Speaker 3>of the situation of this bank. Everyone was discussing on

0:32:12.440 --> 0:32:15.520
<v Speaker 3>Twitter because they couldn't believe after many of the larger

0:32:15.560 --> 0:32:18.200
<v Speaker 3>industry peers stepped in, that we would find ourselves at

0:32:18.200 --> 0:32:18.640
<v Speaker 3>this stage.

0:32:20.160 --> 0:32:22.320
<v Speaker 2>Yeah, let's discuss all of this with a perfect voice,

0:32:22.360 --> 0:32:24.720
<v Speaker 2>because well, it's been quite the time to be a VC.

0:32:24.840 --> 0:32:27.520
<v Speaker 2>At the moment, it's time for VC Spotlight. Mike mcnano

0:32:27.640 --> 0:32:29.360
<v Speaker 2>is with us. He's likes to be Adventures as partner

0:32:29.480 --> 0:32:32.240
<v Speaker 2>last year, focusing on investing in generative AI and create

0:32:32.280 --> 0:32:35.120
<v Speaker 2>a supply chain. Also, of course, you used to lead

0:32:35.120 --> 0:32:38.120
<v Speaker 2>podcast live video businesses over at Spotify. So much news

0:32:38.200 --> 0:32:40.200
<v Speaker 2>to talk about. I wanted to start off with Spotify.

0:32:40.320 --> 0:32:42.800
<v Speaker 2>But how much of an impact is the still bank

0:32:42.880 --> 0:32:45.840
<v Speaker 2>instability at First Republic. Have you felt that your portfolio

0:32:45.880 --> 0:32:48.800
<v Speaker 2>companies and yourself have diversified enough.

0:32:49.200 --> 0:32:51.240
<v Speaker 12>Yeah, Look, I think you know if you're a founder,

0:32:52.160 --> 0:32:56.280
<v Speaker 12>whether you're banking in twenty twenty three or twenty nineteen

0:32:56.320 --> 0:32:58.280
<v Speaker 12>when I was building my company, I think it's always

0:32:58.360 --> 0:33:02.080
<v Speaker 12>good practice to diversify across several different banks, just like

0:33:02.160 --> 0:33:04.880
<v Speaker 12>anyone would with any investment strategy. If you're a startup,

0:33:05.080 --> 0:33:07.160
<v Speaker 12>you might be carrying a lot of cash and it's

0:33:07.160 --> 0:33:09.400
<v Speaker 12>always a good idea to be responsible about it. And

0:33:09.520 --> 0:33:11.160
<v Speaker 12>that's the advice that you know I would give to

0:33:11.200 --> 0:33:13.160
<v Speaker 12>a founder today or back then when I was starting

0:33:13.200 --> 0:33:13.720
<v Speaker 12>my company.

0:33:15.160 --> 0:33:16.920
<v Speaker 3>Hey, Mike, I'm going to jump in here. Welcome to

0:33:16.960 --> 0:33:19.800
<v Speaker 3>the program. It's good to see you. Thanks Ed, Thanks Ery, course,

0:33:20.960 --> 0:33:23.000
<v Speaker 3>it's good to see you. Because things are difficult right now.

0:33:23.520 --> 0:33:26.200
<v Speaker 3>You know, one hand, we just told you that news

0:33:26.240 --> 0:33:29.160
<v Speaker 3>about Keith Block starting a new firm and raising funds,

0:33:29.200 --> 0:33:32.200
<v Speaker 3>and then on the other hand we hear founders absolutely

0:33:32.360 --> 0:33:37.440
<v Speaker 3>desperate for cash to get rounds closed across your portfolio companies.

0:33:37.520 --> 0:33:38.720
<v Speaker 6>What is the situation for you?

0:33:39.680 --> 0:33:42.120
<v Speaker 12>Look, I think it really depends on what you're building

0:33:42.280 --> 0:33:45.920
<v Speaker 12>and what customers you're building for, and how they're responding

0:33:45.960 --> 0:33:48.680
<v Speaker 12>to what you're building. Obviously, you know there are always

0:33:48.720 --> 0:33:51.440
<v Speaker 12>going to be cycles to different markets. Certain categories are

0:33:51.480 --> 0:33:55.240
<v Speaker 12>more exciting than others right now. Obviously, generative AI is

0:33:55.280 --> 0:33:59.400
<v Speaker 12>a category that is very exciting to startup founders, customers

0:33:59.520 --> 0:34:03.320
<v Speaker 12>and venture capitalists as well. There's a massive shift ongoing

0:34:03.440 --> 0:34:05.840
<v Speaker 12>right now, and I think as a result, that sector

0:34:05.880 --> 0:34:07.920
<v Speaker 12>of the market is extremely exciting.

0:34:07.600 --> 0:34:08.080
<v Speaker 6>At the moment.

0:34:08.320 --> 0:34:10.200
<v Speaker 2>Okay, so let's stick in there. Let's go to the

0:34:10.280 --> 0:34:12.759
<v Speaker 2>silver lightning amid all of this, Because you, of course

0:34:13.200 --> 0:34:16.760
<v Speaker 2>have been investing in companies that deploy AI, whether it's Granola,

0:34:16.840 --> 0:34:19.040
<v Speaker 2>whether of course it's also tone And some of these

0:34:19.120 --> 0:34:22.120
<v Speaker 2>companies are getting big valuations. How are they adding to

0:34:22.200 --> 0:34:23.600
<v Speaker 2>productivity in the here and now?

0:34:24.560 --> 0:34:27.320
<v Speaker 12>Yeah, Look, I think you know, every decade or so,

0:34:27.520 --> 0:34:30.960
<v Speaker 12>there's a massive shift in technology. Back in December, I

0:34:31.080 --> 0:34:34.239
<v Speaker 12>was really vocal that I believe the generative AI would

0:34:34.280 --> 0:34:37.560
<v Speaker 12>be as consequential to consumer technology as the iPhone would.

0:34:38.239 --> 0:34:40.080
<v Speaker 6>I feel even more strongly about that now.

0:34:40.160 --> 0:34:42.960
<v Speaker 12>In fact, I think it's potentially even more consequential than

0:34:43.000 --> 0:34:45.600
<v Speaker 12>the Internet, and it is already changing the way that

0:34:45.680 --> 0:34:48.200
<v Speaker 12>we work, that we live, that we socialize, that we learn,

0:34:48.640 --> 0:34:51.480
<v Speaker 12>that we create. And that's an area in particular that

0:34:51.560 --> 0:34:53.879
<v Speaker 12>I get really really excited about. If you look back

0:34:53.920 --> 0:34:56.640
<v Speaker 12>at the history of the Internet, all forms of media,

0:34:56.760 --> 0:35:00.560
<v Speaker 12>all forms of creativity, end up getting democratized by technology.

0:35:00.600 --> 0:35:02.400
<v Speaker 6>Technology makes it easier to create.

0:35:03.080 --> 0:35:07.600
<v Speaker 12>Generative AI is accelerating that trend by decades, maybe centuries,

0:35:08.440 --> 0:35:10.800
<v Speaker 12>by enabling anyone to create anything with the tap of

0:35:10.880 --> 0:35:13.000
<v Speaker 12>a button. You know, like you said, I found at Anchor,

0:35:13.239 --> 0:35:16.720
<v Speaker 12>the podcasting platform. We would have killed to have access

0:35:16.760 --> 0:35:18.879
<v Speaker 12>to this technology even just a couple of years ago.

0:35:19.000 --> 0:35:21.680
<v Speaker 12>And so I think, you know, all these areas that

0:35:21.719 --> 0:35:24.360
<v Speaker 12>I mentioned stand to be vastly accelerated. But I'm very

0:35:24.440 --> 0:35:26.440
<v Speaker 12>excited by creativity in general.

0:35:27.680 --> 0:35:30.480
<v Speaker 3>Michael, possibly before your time, but light Speed was a

0:35:30.600 --> 0:35:34.279
<v Speaker 3>firm that over recent years went to its LPs and

0:35:34.560 --> 0:35:35.760
<v Speaker 3>hard sold crypto.

0:35:36.280 --> 0:35:37.040
<v Speaker 6>Crypto is it?

0:35:37.280 --> 0:35:40.879
<v Speaker 3>This is the big thing until it wasn't anymore. Now

0:35:41.120 --> 0:35:43.399
<v Speaker 3>light Speed is going to its LPs. And I guess

0:35:43.440 --> 0:35:46.319
<v Speaker 3>saying the same thing about AI, it's the next big

0:35:46.400 --> 0:35:49.840
<v Speaker 3>thing you talked about once in a decade technological change.

0:35:50.760 --> 0:35:53.239
<v Speaker 3>What's the risk that you see the same cycle we

0:35:53.320 --> 0:35:54.120
<v Speaker 3>saw with crypto.

0:35:55.000 --> 0:35:58.200
<v Speaker 12>Look, I think with crypto, there you know, there was

0:35:58.239 --> 0:36:00.839
<v Speaker 12>a lot of value generated from crypt and there still

0:36:00.920 --> 0:36:03.120
<v Speaker 12>stands to be a lot of value generated from crypto.

0:36:03.280 --> 0:36:05.680
<v Speaker 12>And know we continue to make investments in the space,

0:36:05.760 --> 0:36:08.680
<v Speaker 12>especially on the infrastructure side. I think with generative AI,

0:36:09.440 --> 0:36:12.040
<v Speaker 12>it's hitting consumer applications right now.

0:36:12.239 --> 0:36:13.600
<v Speaker 6>So take TOME as an example.

0:36:13.640 --> 0:36:17.280
<v Speaker 12>You mentioned Tom Caroline and also touching on the intersection

0:36:17.400 --> 0:36:21.400
<v Speaker 12>with creativity, Tome is disrupting a massive, massive market of

0:36:21.560 --> 0:36:24.920
<v Speaker 12>presentation software. Presentations are one of the most ubiquitous creative

0:36:24.920 --> 0:36:28.120
<v Speaker 12>formats in the workplace, but they're really, really hard to.

0:36:28.160 --> 0:36:28.719
<v Speaker 6>Create, right.

0:36:28.840 --> 0:36:30.720
<v Speaker 12>It takes a lot of skill, a lot of effort

0:36:31.040 --> 0:36:33.160
<v Speaker 12>to make a lot of time to make a beautiful

0:36:33.440 --> 0:36:36.040
<v Speaker 12>PowerPoint presentation, and once you do, you're stuck with a

0:36:36.360 --> 0:36:38.480
<v Speaker 12>sixteen by nine grid that you can't even really.

0:36:38.360 --> 0:36:39.520
<v Speaker 6>Look at on your mobile phone.

0:36:39.920 --> 0:36:43.680
<v Speaker 12>Tom takes that whole process. They make it instant, immediate, beautiful,

0:36:44.200 --> 0:36:45.440
<v Speaker 12>just with a few tap of a button.

0:36:45.840 --> 0:36:48.680
<v Speaker 6>Taps of a button. Through generative AI, now anyone can

0:36:48.719 --> 0:36:50.800
<v Speaker 6>make a beautiful, beautiful presentation.

0:36:50.560 --> 0:36:53.520
<v Speaker 12>And as a result, they are literally the fastest growing

0:36:54.000 --> 0:36:56.920
<v Speaker 12>productivity company of all time. They're going faster than Slack

0:36:56.960 --> 0:37:00.440
<v Speaker 12>did at this stage, They're going faster than Dropbox did revenue,

0:37:00.480 --> 0:37:02.879
<v Speaker 12>in terms terms of user growth, in terms of user growth,

0:37:02.920 --> 0:37:06.520
<v Speaker 12>they are just exploding in users because the value is undeniable,

0:37:06.560 --> 0:37:08.080
<v Speaker 12>and that's what we see across the board for so

0:37:08.200 --> 0:37:10.160
<v Speaker 12>many different applications of generative AI.

0:37:10.280 --> 0:37:12.520
<v Speaker 2>At the moment, it's got to monetize it. We thank you,

0:37:12.680 --> 0:37:14.919
<v Speaker 2>Mike great having time with him, which we had longer

0:37:15.000 --> 0:37:17.200
<v Speaker 2>lights to be a ventures partner. Mike mgnano. There, we've

0:37:17.200 --> 0:37:18.600
<v Speaker 2>got to get back to some of the breaking news,

0:37:18.640 --> 0:37:21.040
<v Speaker 2>and of course First Republic Bank saying that it might

0:37:21.120 --> 0:37:24.560
<v Speaker 2>well be looking what's calling to people familiar potentially assessing

0:37:24.640 --> 0:37:27.000
<v Speaker 2>selling off some assets who want to bring in Shinali

0:37:27.080 --> 0:37:30.000
<v Speaker 2>bassec And this is about mortgages, this is about long

0:37:30.080 --> 0:37:34.399
<v Speaker 2>data securities. Is this about stopping FDIC taking it over?

0:37:34.640 --> 0:37:35.320
<v Speaker 6>Yeah? Absolutely.

0:37:35.520 --> 0:37:37.400
<v Speaker 11>We've known for a while that this is something that

0:37:37.640 --> 0:37:40.200
<v Speaker 11>the bank its advisors have wanted to avoid. They can

0:37:40.280 --> 0:37:43.160
<v Speaker 11>find another solution, as they believe it. And now we

0:37:43.200 --> 0:37:45.800
<v Speaker 11>are learning over here at Bloomberg that they are exploring

0:37:45.920 --> 0:37:49.319
<v Speaker 11>divesting fifty to one hundred billion dollars worth of those

0:37:49.400 --> 0:37:53.480
<v Speaker 11>long data securities and mortgage as part of this rescue plan. Now,

0:37:53.640 --> 0:37:56.440
<v Speaker 11>there may be sweeteners for potential buyers here, that's part

0:37:56.480 --> 0:37:59.279
<v Speaker 11>of the deal here. Potentially warrants are preferred equity as

0:37:59.280 --> 0:38:02.120
<v Speaker 11>an incentive to buy some of these assets. Remember when

0:38:02.160 --> 0:38:04.320
<v Speaker 11>we looked at First Republic, which is down thirty percent

0:38:04.360 --> 0:38:06.880
<v Speaker 11>on the day, about ninety percent on the year, certainly

0:38:06.920 --> 0:38:09.759
<v Speaker 11>in dire territory here, loans at the end of the

0:38:09.880 --> 0:38:13.000
<v Speaker 11>quarter were one hundred and seventy three billion, but deposits

0:38:13.040 --> 0:38:15.520
<v Speaker 11>were one hundred billion. There are a lot of concerns

0:38:15.560 --> 0:38:17.400
<v Speaker 11>about the strength of the balance sheet here, but the

0:38:17.520 --> 0:38:19.959
<v Speaker 11>hope here is that by getting rid OF's massets, selling

0:38:20.040 --> 0:38:23.120
<v Speaker 11>these assets at above market value, there can be something

0:38:23.200 --> 0:38:25.919
<v Speaker 11>here for the buyer to hang on to and help

0:38:26.000 --> 0:38:29.400
<v Speaker 11>First Republic albe at a much smaller bank make it

0:38:29.480 --> 0:38:31.280
<v Speaker 11>through the worst of this crisis for themselves.

0:38:31.880 --> 0:38:34.239
<v Speaker 3>Sinnati, one of our sources, saying that if that is

0:38:34.360 --> 0:38:37.000
<v Speaker 3>the case, the US government might need to come in

0:38:37.680 --> 0:38:42.960
<v Speaker 3>and facilitate the negotiation. The conversation goes back to last

0:38:43.040 --> 0:38:45.840
<v Speaker 3>night in strategic options, I mean, what were the strategic

0:38:45.880 --> 0:38:48.399
<v Speaker 3>options on the table as it was outlined by First

0:38:48.440 --> 0:38:49.840
<v Speaker 3>Republic Listen.

0:38:50.600 --> 0:38:53.000
<v Speaker 11>Selling some assets is something we've not only seen First

0:38:53.040 --> 0:38:55.640
<v Speaker 11>Republic potentially explore at this point, but we have seen

0:38:55.680 --> 0:38:59.680
<v Speaker 11>other regional banks also already sell some assets or considered

0:38:59.800 --> 0:39:03.200
<v Speaker 11>doing so as well. There are not that many buyers

0:39:03.360 --> 0:39:05.759
<v Speaker 11>in the United States that could be buying books of

0:39:05.800 --> 0:39:08.719
<v Speaker 11>this size ed and so the question is are these

0:39:08.760 --> 0:39:10.920
<v Speaker 11>big banking buyers that are taking on books are their

0:39:10.960 --> 0:39:12.840
<v Speaker 11>private buyers that can be taking it on. Will the

0:39:13.000 --> 0:39:16.880
<v Speaker 11>FDIC allow those things to happen? Yes, the idea here is.

0:39:16.880 --> 0:39:18.400
<v Speaker 2>To avoid receivership.

0:39:18.840 --> 0:39:22.920
<v Speaker 11>But to the extent that really large books of business

0:39:23.000 --> 0:39:26.000
<v Speaker 11>are sold here, then the government does take a look

0:39:26.040 --> 0:39:29.239
<v Speaker 11>at this depending on whose hands it goes into, if

0:39:29.480 --> 0:39:31.640
<v Speaker 11>there are books of business this large.

0:39:31.680 --> 0:39:35.680
<v Speaker 2>Indeed, Snali jumping on the breaking news with us, of course,

0:39:35.760 --> 0:39:38.399
<v Speaker 2>First Republic banks still very much under pressure in terms

0:39:38.400 --> 0:39:41.279
<v Speaker 2>of share price. Now let's pivot because we've got to

0:39:41.320 --> 0:39:43.919
<v Speaker 2>talk about artificial intelligence again. We've got to talk about

0:39:43.960 --> 0:39:46.600
<v Speaker 2>some news actually coming out of Cisco, just talking about

0:39:46.640 --> 0:39:50.920
<v Speaker 2>how AI software like Chatchiput will make phishing attempts much

0:39:50.960 --> 0:39:54.919
<v Speaker 2>harder to detect, requiring companies to adopt new defenses. In contrast, well,

0:39:55.200 --> 0:39:58.240
<v Speaker 2>Barmin muft Is, co founder Balistic Ventures and former president

0:39:58.239 --> 0:40:01.799
<v Speaker 2>of Matint Cybersecurity Department, recently told us how AI could

0:40:01.920 --> 0:40:04.439
<v Speaker 2>help in the fight against cyber attacks. Just take a listen.

0:40:05.600 --> 0:40:09.000
<v Speaker 4>You can apply AI to automating threat detection, incident response,

0:40:09.480 --> 0:40:12.840
<v Speaker 4>and removing the scarce human capital resources that are available

0:40:12.880 --> 0:40:16.440
<v Speaker 4>so they can focus on higher important things. Having said that,

0:40:16.560 --> 0:40:19.719
<v Speaker 4>though you can't rely on AI to completely automate your business.

0:40:19.920 --> 0:40:22.160
<v Speaker 2>Let's get to a current AT and T exec. The

0:40:22.320 --> 0:40:25.040
<v Speaker 2>chief operating officer no less, Jeff mckelfresh, is with us

0:40:25.360 --> 0:40:27.920
<v Speaker 2>your view on all things to do with the future security.

0:40:27.960 --> 0:40:30.879
<v Speaker 2>We're ramping up to their RSA coverage tomorrow of course, Jeff,

0:40:30.920 --> 0:40:34.360
<v Speaker 2>and well, is chat GPT, is AI going to be

0:40:34.480 --> 0:40:37.120
<v Speaker 2>a help or hindrance? Do you think for security overall?

0:40:38.520 --> 0:40:41.640
<v Speaker 13>Caroline, thanks for having me. Look, I think for our

0:40:41.719 --> 0:40:45.000
<v Speaker 13>enterprise customers when they think about keeping their workloads and

0:40:45.040 --> 0:40:48.160
<v Speaker 13>their employees safe and secure, you know they need better

0:40:48.239 --> 0:40:52.040
<v Speaker 13>network solutions that are software enabled in order to defend

0:40:52.080 --> 0:40:56.320
<v Speaker 13>against a thread that is invariably likely to be dynamic

0:40:56.480 --> 0:41:00.400
<v Speaker 13>and changing quicker every day. As Barmak just mentioned in

0:41:00.480 --> 0:41:04.240
<v Speaker 13>this previous episode in the announcement with Cisco, the tools

0:41:04.280 --> 0:41:07.279
<v Speaker 13>that make us more productive can be used for good.

0:41:07.400 --> 0:41:08.680
<v Speaker 6>They can be used for bad.

0:41:09.400 --> 0:41:11.440
<v Speaker 13>And what I'm excited about at AT and T and

0:41:11.520 --> 0:41:14.480
<v Speaker 13>what we're hearing from our enterprise customers is that you know,

0:41:14.600 --> 0:41:17.960
<v Speaker 13>the perimeter that they have to defend is getting more complex.

0:41:18.520 --> 0:41:21.040
<v Speaker 13>And not only have a hybrid cloud environment and on

0:41:21.200 --> 0:41:24.960
<v Speaker 13>prem applications, but their end users are also in a

0:41:25.120 --> 0:41:29.520
<v Speaker 13>hybrid environment, connected either at home doing productive work or

0:41:29.560 --> 0:41:32.360
<v Speaker 13>on the go. And so really what the industry is

0:41:32.440 --> 0:41:35.200
<v Speaker 13>looking for is the expertise that AT and T brings

0:41:35.719 --> 0:41:39.960
<v Speaker 13>and providing an integrated converged solution across both fixed and

0:41:40.000 --> 0:41:44.360
<v Speaker 13>mobile networks in an architecture that enables them to respond

0:41:44.480 --> 0:41:47.799
<v Speaker 13>quickly to this very dynamic, changing landscape.

0:41:48.520 --> 0:41:50.440
<v Speaker 3>Jeff, I'm looking forward to being on the ground at

0:41:50.520 --> 0:41:52.880
<v Speaker 3>RSA here in San Francisco. I think a pretty obvious

0:41:53.000 --> 0:41:57.680
<v Speaker 3>question is why is AT and T that and interested

0:41:57.760 --> 0:42:00.880
<v Speaker 3>in cybersecrity. You went to the enterprise side of your business.

0:42:00.880 --> 0:42:03.200
<v Speaker 3>If you think about it as a network, the large

0:42:03.280 --> 0:42:06.520
<v Speaker 3>body of customer data that you're responsible for, it must

0:42:06.560 --> 0:42:09.279
<v Speaker 3>be a pretty big stress for you making sure you

0:42:09.400 --> 0:42:10.480
<v Speaker 3>are safe and secure.

0:42:12.200 --> 0:42:14.040
<v Speaker 6>Well, it certainly is.

0:42:14.200 --> 0:42:16.719
<v Speaker 13>I mean, we operate one of the largest networks in

0:42:16.800 --> 0:42:19.040
<v Speaker 13>the United States and what we do at AT and

0:42:19.120 --> 0:42:22.799
<v Speaker 13>T is important not only for all of our customers,

0:42:23.040 --> 0:42:26.080
<v Speaker 13>but also for the nation our broadband infrastructure and keeping

0:42:26.160 --> 0:42:29.319
<v Speaker 13>it safe and secure as a top priority and part

0:42:29.360 --> 0:42:32.040
<v Speaker 13>of our one hundred and forty seven year heritage. And

0:42:32.160 --> 0:42:35.880
<v Speaker 13>so in that the reason why we are engaged personally

0:42:36.040 --> 0:42:39.880
<v Speaker 13>or internally for our own network itself. I mean, we

0:42:40.520 --> 0:42:43.200
<v Speaker 13>have heavy lifting and work that we do day in

0:42:43.239 --> 0:42:46.680
<v Speaker 13>and day out keeping our own network safe and secure.

0:42:46.760 --> 0:42:52.480
<v Speaker 13>And we've done this ed with network innovation in three areas.

0:42:52.600 --> 0:42:57.520
<v Speaker 13>The first we've actually embedded security capabilities native into our network.

0:42:58.400 --> 0:43:02.160
<v Speaker 13>We couple that with the ability to see across both

0:43:02.440 --> 0:43:07.000
<v Speaker 13>the fixed in the mobile networks. You know, the end customer,

0:43:07.080 --> 0:43:10.040
<v Speaker 13>they don't really discern between how they are connected to

0:43:10.120 --> 0:43:13.880
<v Speaker 13>the Internet, whether they're a large enterprise customer or a consumer.

0:43:14.400 --> 0:43:17.680
<v Speaker 13>But what they know is they need that information to

0:43:17.800 --> 0:43:20.480
<v Speaker 13>be secured and here at AT and T our priority

0:43:20.600 --> 0:43:24.000
<v Speaker 13>is to make those connections fast, reliable and secure.

0:43:24.880 --> 0:43:28.000
<v Speaker 3>Jeff, we asked our audience how top of mind cybersecurity

0:43:28.080 --> 0:43:30.640
<v Speaker 3>is right now, and actually almost seventy percent of respondents

0:43:31.320 --> 0:43:33.640
<v Speaker 3>said that it is a big concern. You know, you

0:43:33.800 --> 0:43:36.920
<v Speaker 3>added few and new customers this quarter that compared with

0:43:37.000 --> 0:43:40.920
<v Speaker 3>a year ago. You kind of you turned on the

0:43:41.080 --> 0:43:44.680
<v Speaker 3>change of heart with home internet services. Is cybersecurity? What

0:43:44.840 --> 0:43:46.960
<v Speaker 3>makes you competitive in those fields? Would you have work

0:43:47.000 --> 0:43:47.160
<v Speaker 3>to do?

0:43:48.640 --> 0:43:51.920
<v Speaker 13>We I think we as an industry have work to do,

0:43:52.200 --> 0:43:55.000
<v Speaker 13>But I think AT and T has a marquee advantage

0:43:55.040 --> 0:43:57.920
<v Speaker 13>here in fact, I mean we added a lot more

0:43:58.040 --> 0:44:01.920
<v Speaker 13>customers than just the post paid fund netad customers. When

0:44:01.960 --> 0:44:04.560
<v Speaker 13>you think about the number of connections for our connected

0:44:04.719 --> 0:44:07.719
<v Speaker 13>cars that we enable across the nation, you could only

0:44:07.800 --> 0:44:11.560
<v Speaker 13>imagine that you would want those interfaces to be secure,

0:44:12.120 --> 0:44:15.600
<v Speaker 13>especially in a day of self driving and autonomous vehicles

0:44:16.080 --> 0:44:18.040
<v Speaker 13>and the promise of what we're bringing to life with

0:44:18.160 --> 0:44:21.400
<v Speaker 13>five G. I will never say that the work is complete.

0:44:21.680 --> 0:44:24.320
<v Speaker 13>It's a very dynamic landscape. And I would tell you

0:44:24.440 --> 0:44:27.840
<v Speaker 13>that our enterprise customers and our consumers, who once ranked

0:44:28.400 --> 0:44:31.800
<v Speaker 13>coverage as high as possible in terms of performance, have

0:44:31.960 --> 0:44:36.240
<v Speaker 13>now elevated security almost equal to the core network performance.

0:44:36.320 --> 0:44:39.000
<v Speaker 13>It's important for our entire customer segment.

0:44:39.520 --> 0:44:42.360
<v Speaker 3>All right, at and T is Chief operating Offici Jeff mcalfrish,

0:44:42.400 --> 0:44:43.560
<v Speaker 3>thank you for joining us, Carol.

0:44:43.920 --> 0:44:46.319
<v Speaker 2>Let's just go back to the breaking news at First

0:44:46.360 --> 0:44:49.120
<v Speaker 2>Republic Bank. Now at session loads, we're quite thirty one percent.

0:44:49.200 --> 0:44:51.920
<v Speaker 2>Remember this is a stock that's already collapsed ninety percent

0:44:52.000 --> 0:44:54.480
<v Speaker 2>in terms of market value so far this year. The reason,

0:44:54.560 --> 0:44:56.560
<v Speaker 2>while we're worrying about the viability of the bank this time,

0:44:56.600 --> 0:45:00.400
<v Speaker 2>we understand according to exclusive Bloomberg reporting, and up to

0:45:00.480 --> 0:45:02.839
<v Speaker 2>one hundred billion dollars in assets sales. We're talking long

0:45:02.920 --> 0:45:05.680
<v Speaker 2>dated securities said, we're talking mortgages and all of this

0:45:05.960 --> 0:45:09.040
<v Speaker 2>hopefully to be above market value. They've got to offer

0:45:09.120 --> 0:45:10.880
<v Speaker 2>some incentives though to US banks to sell them.

0:45:11.960 --> 0:45:15.279
<v Speaker 3>Yeah, and steep, steep declines here today ninety percent I

0:45:15.320 --> 0:45:16.319
<v Speaker 3>think that does it for the show.

0:45:16.400 --> 0:45:17.360
<v Speaker 6>Caroline and has this.

0:45:17.480 --> 0:45:19.520
<v Speaker 2>Edition of Bloomberg Technology Tune in tomorrow. We've got so

0:45:19.640 --> 0:45:22.919
<v Speaker 2>much special coverage coming from U ed RSA of course,

0:45:23.239 --> 0:45:25.680
<v Speaker 2>a MANI and CEO for example, this is the Bloomberg