WEBVTT - Spotify User Growth, Paramount’s Enhanced Offer

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live

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<v Speaker 1>from coast to coast with Caroline Hide in New York

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<v Speaker 1>and Ed Lovelow in sent Francesco.

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<v Speaker 2>This is Bloomberg Tech coming up. Spotify added a record

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<v Speaker 2>number of users last quarter thanks to its end of

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<v Speaker 2>year wrapped campaign, shares search plus.

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<v Speaker 3>Paramount enhances its bid for Warner Brothers Discovery, offering billions

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<v Speaker 3>to cover termination debt, refinancing and ticking fees.

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<v Speaker 4>Details this hour.

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<v Speaker 2>And Runway CEO Chris thebau Valezuela joins us to talk

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<v Speaker 2>about the new funding round that values the company at

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<v Speaker 2>five point three billion dollars.

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<v Speaker 3>From private markets to the public market. Look on the benchmarks,

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<v Speaker 3>nothing that exciting.

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<v Speaker 4>We're holding on too.

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<v Speaker 3>Gains just eking out twenty three points in the green

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<v Speaker 3>and the NASTAQ one hundred. But you go underneath a

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<v Speaker 3>herd ed and rotation continues. But this time is the

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<v Speaker 3>hardware that gets sold off.

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<v Speaker 4>The software is being bought for a third straight day.

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<v Speaker 3>Software really up about nine percent as we buy back

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<v Speaker 3>into that beaten up sector. But we're looking also to

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<v Speaker 3>what the macro picture is painting. We have got retail

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<v Speaker 3>sales that come in less than have been expected. What

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<v Speaker 3>does that mean for a FED cut? What does it

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<v Speaker 3>mean for equities? What does mean for crypto? Because let's

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<v Speaker 3>face it, that is where the movement's happening today. Bigoin

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<v Speaker 3>not by one point six percent, look at Eth down

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<v Speaker 3>almost another five percent. As we still question what's sort

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<v Speaker 3>of an asset? This really is what are you looking at?

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<v Speaker 2>I'm looking at Spotify and shares are absolutely surging. A

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<v Speaker 2>record number of subscribers added last quarter, taking the total

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<v Speaker 2>to seven hundred and fifty one million dollars. Later in

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<v Speaker 2>the show, we'll get to it where Bloomberg's actually Carmen.

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<v Speaker 2>But it was all about the end of year rat

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<v Speaker 2>and I know as a team we all exchanged our raps.

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<v Speaker 2>The stock was on track for its best day over

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<v Speaker 2>up almost twenty percent, now on track for its figures

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<v Speaker 2>jumping about seven years. But that is a big response

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<v Speaker 2>to strength when it comes to music streaming.

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<v Speaker 4>Character It certainly is tell you else's strength. The bond market.

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<v Speaker 3>We're not looking at shares of Alphabet, but really I

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<v Speaker 3>want you to focus on its debt because it's bond

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<v Speaker 3>offerings keep coming and after the US dollar debt sale,

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<v Speaker 3>raised twenty billion dollars yesterday, it was upsized.

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<v Speaker 4>The company is now selling over eleven.

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<v Speaker 3>Billion more in Sterling and Swiss frank denominated bonds. And

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<v Speaker 3>that's super rare one hundred year note we told you

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<v Speaker 3>about yesterday while it was oversubscribed and then some almost

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<v Speaker 3>ten times according to sources. Let's talk about it with

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<v Speaker 3>Robert Schiffman from Blue Meg Intelligence. In less than twenty

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<v Speaker 3>four hours, they've raised thirty two billion dollars basically on

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<v Speaker 3>the debt markets. Let's just focus in on what that

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<v Speaker 3>one hundred year debt signals about the confidence people have

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<v Speaker 3>in this company.

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<v Speaker 5>Well, I think what the bond market is telling us

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<v Speaker 5>is that AI bubble talks are so twenty twenty five.

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<v Speaker 5>But the concerns that, at least from the creditors perspective,

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<v Speaker 5>is not anything near what it is from inequity standpoint.

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<v Speaker 5>The reality, though, is what is the benefit of a

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<v Speaker 5>one hundred year bond? To me, it's just a trophy.

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<v Speaker 5>It's going to be put on the shelf of pension

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<v Speaker 5>funds and insurance companies. They're going to hold it to maturity.

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<v Speaker 5>And let me tell you something, if anyone's really worried,

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<v Speaker 5>if that bond does not pay off in one hundred years.

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<v Speaker 5>Come and look me up at Bloomberg. I'm going to

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<v Speaker 5>be upstairs in my office eating free.

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<v Speaker 6>Snacks, Robert.

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<v Speaker 2>The macro point is that they're doing interesting things with capital,

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<v Speaker 2>the bigger picture, to fund CAPEX, right, to grow AI

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<v Speaker 2>infrastructure at scale. I always read your memo every morning,

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<v Speaker 2>and you revise constantly the kind of trajectory. What are

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<v Speaker 2>the latest numbers that you see going over the next decade.

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<v Speaker 5>Yeah, you know, it sort of becomes monopoly money, the

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<v Speaker 5>type of spending that we're seeing. I mean, we're now

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<v Speaker 5>projecting over four trillion dollars of cumulative hyperscaler spend through

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<v Speaker 5>twenty thirty. You can afford a lot of that from

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<v Speaker 5>operating cash flow. However, how do you supplement it? You

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<v Speaker 5>supplement it with really cheap bonds. And the way that

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<v Speaker 5>you can do that is you start off with balance

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<v Speaker 5>sheets that are in phenomenal shape. You know, if you

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<v Speaker 5>look at Alphabet's DOAA plus credit rating, SMP came out

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<v Speaker 5>yesterday and said in order to breach their downgrade trigger,

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<v Speaker 5>they would have to issue more than one hundred and

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<v Speaker 5>eighty billion dollars of incremental net debt. So what I

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<v Speaker 5>would argue is, hey, if they wanted to be a

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<v Speaker 5>triple bname, would they have to issue a trillion dollars

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<v Speaker 5>of bonds? There is so much capacity. Why not take

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<v Speaker 5>the money down, borrow long dated paper at five and

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<v Speaker 5>a half five point seven percent, put it to work

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<v Speaker 5>today and grow your future cash flows for another decade,

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<v Speaker 5>if not one hundred years.

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<v Speaker 3>There is some pushback in the market that yes, it's

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<v Speaker 3>a trophy on a pension fund's desk, maybe it's a

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<v Speaker 3>trophy on Alphabet's CFO and treasurer's desk if they sell

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<v Speaker 3>one hundred year bonds, but also signals at the top

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<v Speaker 3>of the market. Look, we go back to when the

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<v Speaker 3>last time a tech company did this, it was Motroller

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<v Speaker 3>back in the nineties, and people are trying to make

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<v Speaker 3>this serchon that may be Motrola was at the peak

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<v Speaker 3>of its game then and where is it now? What

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<v Speaker 3>do you say, so this is a question marks about

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<v Speaker 3>one hundred a to tech.

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<v Speaker 5>Yeah, listen, I think you know what's going to be

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<v Speaker 5>the top. We can never call the top. Let me

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<v Speaker 5>tell you something though, I think there's more bonds to come.

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<v Speaker 5>We still have Microsoft, we still have Meta, we still

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<v Speaker 5>probably have Amazon.

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<v Speaker 4>But would they do one hundred Yeah, you know what.

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<v Speaker 5>They might, and they also might do a lot of

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<v Speaker 5>other incremental currencies like we talked about yesterday. I'm actually

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<v Speaker 5>surprised they stayed out of the euromarket. I think there's

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<v Speaker 5>a big, deep demand there is. Every portfolio manager that

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<v Speaker 5>we are talking to is talking about having excess cash

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<v Speaker 5>on hand, and everyone is looking at the same compressed yields.

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<v Speaker 5>There is a bid for a yield. It is not

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<v Speaker 5>going away anytime soon. So if we hit the top

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<v Speaker 5>of the market, I don't think it's today. Maybe it's

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<v Speaker 5>next week, Maybe it's going to be in three weeks,

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<v Speaker 5>but I don't think it's yet. I listen, I've never

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<v Speaker 5>been as bullish on tech as I am today. I

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<v Speaker 5>don't think these companies have ever been better positioned. I

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<v Speaker 5>don't think their balance sheets have ever been better positioned.

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<v Speaker 5>And I actually think the confidence levels that we see

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<v Speaker 5>across the bond market far supersede what I think even

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<v Speaker 5>Bloomberg News starking belt.

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<v Speaker 2>Robert Schiffman from Bloomberg Intelligence bonds are fun, thank you

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<v Speaker 2>very much. The software sector may have a chance to

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<v Speaker 2>rebound we're so closely tracking what's happening in software right now.

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<v Speaker 2>According to JP Morgan Strategists, fears of AI disruption may

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<v Speaker 2>be overblown and the current bearish sentiment is a quote

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<v Speaker 2>overshoot at this time. That views echoed by Lauren Webster,

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<v Speaker 2>Managing Director of Investment Banking for Technology at Piper Sandler.

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<v Speaker 2>She writes, while there is merit that AI will be

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<v Speaker 2>a death sentence to certain sectors of software, the notion

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<v Speaker 2>of software's broad obsolescence is overstated.

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<v Speaker 6>Delighted to say that, she.

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<v Speaker 2>Joins us, Now, I mean this is a day by

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<v Speaker 2>day thing. Looking at some of the trading and action

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<v Speaker 2>in the moment, I see a lot of green in

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<v Speaker 2>the software space. But I say every day, one market

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<v Speaker 2>session a market does not make just go a bit

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<v Speaker 2>deeper on your thesis and why you're a bit more

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<v Speaker 2>calm here.

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<v Speaker 7>Absolutely, So, I think where we are is in sort

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<v Speaker 7>of this phase of forming, storming, norming in the market

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<v Speaker 7>and the give and take between AI innovation and software stocks,

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<v Speaker 7>and so you're seeing a lot of volatility disruption each

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<v Speaker 7>time there is a new product release from an AI innovator.

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<v Speaker 7>Yet this broader realization that enterprise software is here for good.

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<v Speaker 7>You can't rip it out tomorrow, and this is a

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<v Speaker 7>longer term trend. As we figure out how to embed

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<v Speaker 7>AI into enterprise solutions, what is actually going to be disrupted.

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<v Speaker 2>We are canvassing a wide and diverse range of views

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<v Speaker 2>and what's happening in software. Earlier today, we spoke to

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<v Speaker 2>the Golden and Sax CEO David Solomon.

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<v Speaker 6>Here's what he thinks.

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<v Speaker 8>We have software exposure, but I'd say it's insignificant the

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<v Speaker 8>scale of our overall platform, but it's certainly something that

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<v Speaker 8>we're monitoring. I think the narrative over the last week

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<v Speaker 8>has been a little bit too broad and will be

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<v Speaker 8>as losers and plenty of companies pilot do just find.

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<v Speaker 6>Sell off too broad.

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<v Speaker 2>It sounds like you and mister Solomon agree that maybe

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<v Speaker 2>what we've seen in the last seven to ten days

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<v Speaker 2>a little overdone.

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<v Speaker 7>Certainly, with that said, though, I would if I was

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<v Speaker 7>running a business in the software sector today, I would

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<v Speaker 7>be taking a hard look, spending time with customers understanding

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<v Speaker 7>how they're using AI in place of the products that

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<v Speaker 7>I offer, where I should be embedding it, and certainly

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<v Speaker 7>planning for the next decade. Will transition towards more AI

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<v Speaker 7>infrastructure tooling. But yes, as I said, nothing is getting

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<v Speaker 7>ripped out tomorrow, and this is a much longer transition period.

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<v Speaker 7>And the good news in that is that it gives

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<v Speaker 7>software companies time to catch up figure out how they

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<v Speaker 7>can play this opportunity.

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<v Speaker 3>Lauren, what data do you look to as to what

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<v Speaker 3>might be being ripped out? What is a point of

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<v Speaker 3>offering rather than a platform that's into more deeply within

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<v Speaker 3>a business.

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<v Speaker 7>Yeah, certainly looking at those that have been disrupted most

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<v Speaker 7>by recent product launches from whether it be anthropic or others.

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<v Speaker 7>Workflow tooling is a place at risk. Certainly, there are

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<v Speaker 7>elements within the legal sector that some of the newer

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<v Speaker 7>announcements are starting to displace. There are, however, bright spots

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<v Speaker 7>like cybersecurities one where I spend a lot of time

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<v Speaker 7>and certainly you need cybersecurity capabilities to even implement some

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<v Speaker 7>of that AI enterprise infrastructure. So there will be pockets

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<v Speaker 7>of opportunity in the software sector, and then certainly in

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<v Speaker 7>the picks and shovels around AI infrastructure.

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<v Speaker 3>Go there a little bit more, because that was clearly

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<v Speaker 3>the read across from some of this capital expenditure spend

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<v Speaker 3>that we saw last week and now so I mean

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<v Speaker 3>extraordinary numbers coming from the hyperscalers, and then of course

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<v Speaker 3>people thought, well, time to be long, energy, time to

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<v Speaker 3>be long the chips that go inside these data centers.

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<v Speaker 4>Is that still the right play, feelin.

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<v Speaker 7>Absolutely?

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<v Speaker 9>So.

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<v Speaker 7>The money is not pulling out of the market and

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<v Speaker 7>sitting on the sidelines. It truly is going into a

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<v Speaker 7>lot of the infrastructure opportunity what is often called the

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<v Speaker 7>physical AI play, where it is energy networking. I mean,

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<v Speaker 7>we're even seeing physical security around data centers getting another lock,

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<v Speaker 7>and so there's a significant opportunity in that infrastructure and

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<v Speaker 7>elsewhere that is, you know, irl are in the physical world.

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<v Speaker 2>What I'm trying to understand is why the story has

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<v Speaker 2>changed for lots of investors.

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<v Speaker 6>You know, if you.

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<v Speaker 2>Think back to when we started closing closely tracking capital expenditures,

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<v Speaker 2>people wanted to see the software revenues. On the other side,

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<v Speaker 2>they wanted to see revenue top line growth that directly

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<v Speaker 2>resulted from AI investment. Right think about the core to

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<v Speaker 2>gone a name like Salesforce. They posted really good numbers,

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<v Speaker 2>but the anxiet is still there despite the evidence. It's

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<v Speaker 2>backward looking that people are willing to pay for.

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<v Speaker 6>That AI era of software. Why is that?

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<v Speaker 7>Look, there's a broad realization that you're going to have

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<v Speaker 7>to invest ahead of ahead of the real realization of

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<v Speaker 7>the opportunity, the real realization of the profits. And so

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<v Speaker 7>that's why you're seeing a lot of these hyperscalers poor

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<v Speaker 7>tremendous capital, hundreds of billions into their capex infrastructure associated

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<v Speaker 7>with AI. And there will be support for others across

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<v Speaker 7>the software ecosystem as long as there is also that

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<v Speaker 7>customer enterprise customer journey narrative going with it as well.

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<v Speaker 2>Yeah, that enterprise evidence is right is what we're looking for.

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<v Speaker 2>I can to ask you one of my favorite questions,

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<v Speaker 2>given with still early in the year, what happens in

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<v Speaker 2>the rest of twenty twenty six with a software sector.

0:11:52.880 --> 0:11:54.960
<v Speaker 7>Yeah, I'm going to go back to where I started,

0:11:55.000 --> 0:11:59.040
<v Speaker 7>which is really this forming norming storming. You have a

0:11:59.120 --> 0:12:02.839
<v Speaker 7>lot of AI forming right now, and I will tell

0:12:02.840 --> 0:12:04.760
<v Speaker 7>you we are not we are not at the end

0:12:04.760 --> 0:12:07.040
<v Speaker 7>of that formation. There are going to be gives and takes,

0:12:07.360 --> 0:12:10.920
<v Speaker 7>and then that's storming with traditional software. The winner there

0:12:11.320 --> 0:12:13.920
<v Speaker 7>is going to be those that are really spending time

0:12:14.120 --> 0:12:18.840
<v Speaker 7>understanding the evolution of their technology with their customers and

0:12:18.960 --> 0:12:23.000
<v Speaker 7>how those customers are applying AI to their solutions, and

0:12:23.040 --> 0:12:25.560
<v Speaker 7>then you'll have this normalization and it could be a

0:12:25.600 --> 0:12:29.280
<v Speaker 7>few years out where there's a balance between you know,

0:12:29.480 --> 0:12:35.040
<v Speaker 7>AI infrastructure leaders and those software innovators enterprise SaaS who

0:12:35.080 --> 0:12:38.240
<v Speaker 7>have really seized the opportunity to embed AI for their

0:12:38.280 --> 0:12:39.200
<v Speaker 7>customer benefit.

0:12:39.440 --> 0:12:41.840
<v Speaker 3>Non Webster wait to have you back on the show.

0:12:42.000 --> 0:12:44.880
<v Speaker 4>Thank you very much. Indeed, Pype Sandler, we appreciate it.

0:12:45.000 --> 0:12:45.480
<v Speaker 4>Coming up.

0:12:45.800 --> 0:12:50.040
<v Speaker 3>Spotify reporting record user growth in its fourth quarter. What's

0:12:50.040 --> 0:12:52.680
<v Speaker 3>to discuss next? We're in these earnings, but what are

0:12:52.679 --> 0:12:53.480
<v Speaker 3>you looking at?

0:12:53.800 --> 0:12:57.040
<v Speaker 2>Just a very quick look at TSMC's US listed shares

0:12:57.080 --> 0:13:00.319
<v Speaker 2>there are almost two percent one point percent, but trading

0:13:00.320 --> 0:13:03.360
<v Speaker 2>at a record high. The shares in Taiwan overnight traded

0:13:03.679 --> 0:13:07.160
<v Speaker 2>at record highs. The revenue jump thirty seven percent in January.

0:13:07.320 --> 0:13:11.960
<v Speaker 2>Same story, AI spending marches on. TSMC dominates the market

0:13:12.000 --> 0:13:13.359
<v Speaker 2>for chip manufacturing.

0:13:13.880 --> 0:13:14.840
<v Speaker 6>This is bloomboag tech.

0:13:28.679 --> 0:13:31.120
<v Speaker 3>It's checking on a Spotify shares having a strong day

0:13:31.200 --> 0:13:33.440
<v Speaker 3>up fifteen percent at one point, having their biggest move

0:13:33.520 --> 0:13:36.679
<v Speaker 3>on record after the company reported well record use a

0:13:36.720 --> 0:13:39.000
<v Speaker 3>growth in that fiscal fourth quarter. And eight hundred and

0:13:39.000 --> 0:13:42.120
<v Speaker 3>thirty five million dollars in operating income. Let's turn to

0:13:42.200 --> 0:13:44.840
<v Speaker 3>Bloombo's Ashley Carmen, who broke down the numbers and look,

0:13:45.640 --> 0:13:49.000
<v Speaker 3>the mighty have fallen a lot coming into this number, Ashley,

0:13:49.120 --> 0:13:51.240
<v Speaker 3>So the bounce back is perhaps not surprising when they're

0:13:51.240 --> 0:13:53.560
<v Speaker 3>able to give some sort of like ease to the

0:13:53.559 --> 0:13:54.240
<v Speaker 3>investor base.

0:13:54.679 --> 0:13:56.280
<v Speaker 10>Yeah, and I think that was a lot of what

0:13:56.320 --> 0:13:59.760
<v Speaker 10>this call was today is just addressing concerns that AI,

0:14:00.320 --> 0:14:04.920
<v Speaker 10>specifically AI music startups might I mean these are supposed

0:14:04.960 --> 0:14:07.360
<v Speaker 10>launch this year, so people are concerned they are people

0:14:07.360 --> 0:14:09.959
<v Speaker 10>going to start using AI degenerate songs and then listen

0:14:09.960 --> 0:14:12.080
<v Speaker 10>to those songs on other platforms, or are they going

0:14:12.120 --> 0:14:14.840
<v Speaker 10>to keep coming to Spotify? And today the co CEOs

0:14:14.840 --> 0:14:17.000
<v Speaker 10>were saying, we think they'll keep coming to Spotify.

0:14:17.960 --> 0:14:20.120
<v Speaker 2>So the stock at one point was up on track

0:14:20.120 --> 0:14:22.360
<v Speaker 2>for its bigges jump. Ever it's now up fifteen and

0:14:22.360 --> 0:14:25.000
<v Speaker 2>a half percent, I think, contract for its biggest jump

0:14:25.040 --> 0:14:28.000
<v Speaker 2>in seven almost eight years. You write about in the

0:14:28.080 --> 0:14:31.840
<v Speaker 2>report the impact of Rapped for those although I don't

0:14:31.880 --> 0:14:34.040
<v Speaker 2>imagine there's many that don't know what that is, Ashley,

0:14:34.440 --> 0:14:36.560
<v Speaker 2>just explain it. But like, why was that such a

0:14:36.560 --> 0:14:38.360
<v Speaker 2>big factor.

0:14:38.760 --> 0:14:43.560
<v Speaker 10>So Rapped is their annual interactive viral marketing campaign where

0:14:43.560 --> 0:14:46.000
<v Speaker 10>people share their music and podcasts that they listen to

0:14:46.040 --> 0:14:49.400
<v Speaker 10>the most this year and every year. It is just

0:14:49.520 --> 0:14:52.480
<v Speaker 10>a moment on the Internet. People tend to activate their

0:14:52.520 --> 0:14:56.000
<v Speaker 10>service to participate in RAP, so they always expect to

0:14:56.000 --> 0:14:57.640
<v Speaker 10>see a boost. But I believe on the call today

0:14:57.680 --> 0:15:00.400
<v Speaker 10>they said this was their biggest Rapped ever, So we

0:15:00.440 --> 0:15:02.560
<v Speaker 10>can really see the results of that marketing campaign.

0:15:03.200 --> 0:15:05.600
<v Speaker 4>But are people advertising more with Spotify?

0:15:05.880 --> 0:15:08.840
<v Speaker 3>Are they able to drive revenues not just by having

0:15:08.920 --> 0:15:11.920
<v Speaker 3>more of us tune in and unearth our Spotify account

0:15:11.960 --> 0:15:12.760
<v Speaker 3>every end of year.

0:15:12.960 --> 0:15:15.440
<v Speaker 10>So this is the one part of the earnings today

0:15:15.440 --> 0:15:18.040
<v Speaker 10>that was a little bit gloomy. The ad supported revenue

0:15:18.040 --> 0:15:20.400
<v Speaker 10>actually dropped year over year, and this has been a

0:15:20.400 --> 0:15:23.120
<v Speaker 10>part of the business that people are really wondering, when

0:15:23.200 --> 0:15:24.880
<v Speaker 10>are we going to see you start making more money

0:15:24.920 --> 0:15:27.360
<v Speaker 10>from advertising, Which is also an important question because when

0:15:27.360 --> 0:15:30.360
<v Speaker 10>we're talking about them adding users, these are ad supported users.

0:15:30.840 --> 0:15:33.000
<v Speaker 10>Subscribers grew as well, but if you're going to keep

0:15:33.000 --> 0:15:34.840
<v Speaker 10>adding ad supported users, you also.

0:15:34.600 --> 0:15:36.400
<v Speaker 4>Want to see the revenue in that department go up

0:15:36.440 --> 0:15:36.800
<v Speaker 4>as well.

0:15:37.640 --> 0:15:40.760
<v Speaker 2>Bloomberg's actually coming on Spotify, Thank you very much. Power

0:15:40.800 --> 0:15:43.840
<v Speaker 2>Amount is trying to sweeten it's Warner Brothers bid the

0:15:43.880 --> 0:15:46.400
<v Speaker 2>media giants, saying it will cover a two point eight

0:15:46.480 --> 0:15:50.080
<v Speaker 2>billion dollar termination fee that Warner Bros. Would pay Netflix

0:15:50.520 --> 0:15:54.080
<v Speaker 2>if it terminates and already agreed upon deal. Bloombok's Lucashaw,

0:15:54.120 --> 0:15:56.960
<v Speaker 2>who leads the screen Time team, it's with us. This

0:15:57.120 --> 0:15:59.720
<v Speaker 2>was interesting, right, So the headline's here and it's a

0:16:00.080 --> 0:16:03.800
<v Speaker 2>wheatner an improvement on their deal. But actually the specifics

0:16:03.920 --> 0:16:08.440
<v Speaker 2>are very interesting. They're not just they're not boosting the

0:16:08.600 --> 0:16:12.440
<v Speaker 2>offer price. Go into detail, explain how we unpick this.

0:16:13.280 --> 0:16:16.880
<v Speaker 11>Yeah, so they are addressing and they being Paramount. Two

0:16:16.920 --> 0:16:20.000
<v Speaker 11>of the concerns that Warner Brothers has had about their deal.

0:16:20.040 --> 0:16:22.200
<v Speaker 11>One is this question of the breakup thee Right, So,

0:16:22.360 --> 0:16:25.520
<v Speaker 11>Warner Brothers has been had been debating between two main

0:16:25.560 --> 0:16:29.520
<v Speaker 11>offers between Netflix and Paramount. They pick Netflix, but if

0:16:29.520 --> 0:16:32.640
<v Speaker 11>they walk away from Netflix to you know, re engage

0:16:32.640 --> 0:16:35.520
<v Speaker 11>with Paramount, they have to pay Netflix a bunch of money.

0:16:35.760 --> 0:16:38.600
<v Speaker 11>Paramount had is now offering to cover that, and Warner

0:16:38.600 --> 0:16:41.560
<v Speaker 11>Brothers had been very worried about it because they said

0:16:41.560 --> 0:16:43.800
<v Speaker 11>that one of the reasons that the deals weren't equivalent.

0:16:43.880 --> 0:16:46.800
<v Speaker 11>Was Paramount wasn't kind of covering Warner Brothers downside on that,

0:16:46.840 --> 0:16:48.720
<v Speaker 11>which would have come out of the money that they get.

0:16:49.600 --> 0:16:51.760
<v Speaker 11>The other thing here is Warner Brothers have been really

0:16:51.800 --> 0:16:54.680
<v Speaker 11>concerned about their ability to refinance their debt going forward.

0:16:54.720 --> 0:16:58.960
<v Speaker 11>Paramount has now or David Ellison both first in swallowing

0:16:59.040 --> 0:17:01.680
<v Speaker 11>Paramount and now try follow. Warner Brothers has a history

0:17:01.680 --> 0:17:04.679
<v Speaker 11>of trying to impose really onerous kind of covenants on

0:17:04.760 --> 0:17:07.600
<v Speaker 11>what the company he's acquiring can do, which would have

0:17:07.680 --> 0:17:10.040
<v Speaker 11>limited Warner Brothers in that respect, and now Paramount is

0:17:10.040 --> 0:17:13.720
<v Speaker 11>saying basically, we'll cover you on whatever costs are related

0:17:14.040 --> 0:17:15.200
<v Speaker 11>to that debt financing.

0:17:15.359 --> 0:17:16.880
<v Speaker 6>To your point, they still haven't.

0:17:16.680 --> 0:17:19.160
<v Speaker 11>Actually raised the thirty dollars a share offer. This does

0:17:19.200 --> 0:17:22.080
<v Speaker 11>increase the total net value of the bid, and so

0:17:22.200 --> 0:17:25.040
<v Speaker 11>we're waiting to see what the Warner Brothers board has

0:17:25.080 --> 0:17:25.680
<v Speaker 11>to say about it.

0:17:25.880 --> 0:17:28.359
<v Speaker 3>What credence to investors give at the moment. Lucas to

0:17:28.440 --> 0:17:31.400
<v Speaker 3>that this would pass through regulators more easily. This whole

0:17:31.440 --> 0:17:34.480
<v Speaker 3>ticking fee the idea that if it goes past the

0:17:34.560 --> 0:17:37.679
<v Speaker 3>quarter expected, they get a chunk of change in return.

0:17:37.720 --> 0:17:39.960
<v Speaker 3>If it's delayed, I mean that really just speaks to

0:17:40.000 --> 0:17:40.840
<v Speaker 3>the bravado here.

0:17:41.560 --> 0:17:41.760
<v Speaker 6>Yeah.

0:17:42.119 --> 0:17:45.199
<v Speaker 11>Well, Paramount has been adamant all along that it stands

0:17:45.200 --> 0:17:48.320
<v Speaker 11>a better chance of getting its deal approved, which on

0:17:48.359 --> 0:17:51.240
<v Speaker 11>its face makes some sense. Netflix is a much larger company,

0:17:51.240 --> 0:17:54.040
<v Speaker 11>a more powerful company. It's the number one player in streaming.

0:17:54.560 --> 0:17:57.320
<v Speaker 11>Netflix of course has countered that, you know, they're very

0:17:57.320 --> 0:18:00.280
<v Speaker 11>confident in getting their deal approved and raised issues with

0:18:00.280 --> 0:18:04.000
<v Speaker 11>with Paramounts offer because Paramount plus Warner Brothers Discovery combined

0:18:04.000 --> 0:18:07.680
<v Speaker 11>would account for technically a larger share of television viewing

0:18:08.040 --> 0:18:10.960
<v Speaker 11>than Netflix would under the deal. But both sides are

0:18:10.960 --> 0:18:13.199
<v Speaker 11>trying to plead their case. Paramount obviously is sort of

0:18:13.200 --> 0:18:16.199
<v Speaker 11>coming from behind here, and what they are trying to

0:18:16.240 --> 0:18:19.320
<v Speaker 11>do is inject enough doubt in the minds of shareholders

0:18:19.320 --> 0:18:21.800
<v Speaker 11>that they will not vote for the Netflix deal next month.

0:18:22.760 --> 0:18:25.159
<v Speaker 2>Lucas both sides trying to plead their case. There's been

0:18:25.200 --> 0:18:27.560
<v Speaker 2>a lot of recent reporting from US and what's also

0:18:27.600 --> 0:18:30.480
<v Speaker 2>happening kind of in the background. There's obviously been an

0:18:30.520 --> 0:18:33.520
<v Speaker 2>interest from Washington DC. What else do we need to

0:18:33.560 --> 0:18:36.480
<v Speaker 2>know about how this is going from a regulatory perspective,

0:18:36.920 --> 0:18:39.639
<v Speaker 2>or at least interest from government as well.

0:18:40.560 --> 0:18:41.399
<v Speaker 6>I don't know.

0:18:41.760 --> 0:18:46.000
<v Speaker 11>Right we've had Paramount shareholders or we've had kind of

0:18:46.040 --> 0:18:49.080
<v Speaker 11>Paramount and David Allison lobbying people in DC and Europe.

0:18:49.119 --> 0:18:52.240
<v Speaker 11>We've had Netflix going ahead of the Senate last week.

0:18:53.160 --> 0:18:55.480
<v Speaker 11>President Trump had said he'll be involved, and he said

0:18:55.480 --> 0:18:58.639
<v Speaker 11>he's not involved. What we do know, just as a

0:18:58.800 --> 0:19:00.600
<v Speaker 11>as a kind of basic set of facts, is that

0:19:00.640 --> 0:19:03.640
<v Speaker 11>the DOJ is looking into both cases and has yet

0:19:03.680 --> 0:19:06.040
<v Speaker 11>to say whether or not it's going to challenge either

0:19:06.040 --> 0:19:07.960
<v Speaker 11>of them.

0:19:08.160 --> 0:19:11.000
<v Speaker 3>In terms of timing, Is there anything pressuring? Is there

0:19:11.000 --> 0:19:14.280
<v Speaker 3>any date, any number, any any time frame that we

0:19:14.320 --> 0:19:14.960
<v Speaker 3>look to for the.

0:19:14.920 --> 0:19:20.760
<v Speaker 11>Next Yeah, the next big one is the shareholder vote. Really,

0:19:20.800 --> 0:19:23.560
<v Speaker 11>we're expecting Warner Brothers to arrange a vote of its

0:19:23.560 --> 0:19:26.879
<v Speaker 11>shareholders sometime probably in mid to late March, kind of

0:19:26.920 --> 0:19:30.600
<v Speaker 11>at the latest early April. That's something of a deadline

0:19:30.640 --> 0:19:32.760
<v Speaker 11>for Paramount because they need to convince a bunch of

0:19:32.840 --> 0:19:36.600
<v Speaker 11>shareholders before then to change their mind. Otherwise then they're

0:19:36.640 --> 0:19:38.720
<v Speaker 11>really up to the whims of regulators, because if it

0:19:38.720 --> 0:19:42.960
<v Speaker 11>gets to shareholders and shareholders do approve that Netflix deal,

0:19:43.080 --> 0:19:45.480
<v Speaker 11>there's not much Paramount can do besides hope that the

0:19:45.520 --> 0:19:48.600
<v Speaker 11>government in the US or Europe blocks the.

0:19:48.600 --> 0:19:52.760
<v Speaker 3>Deal for sure, we appreciate you on the story. Meanwhile,

0:19:52.800 --> 0:19:55.760
<v Speaker 3>coming up, we're going to talk about how storied VC

0:19:55.920 --> 0:19:58.840
<v Speaker 3>firm and recent Prowitz is helping drive the Trump administration's

0:19:58.880 --> 0:20:00.440
<v Speaker 3>AI approach us.

0:20:00.480 --> 0:20:02.280
<v Speaker 4>Next, this is brettly bed Tech.

0:20:16.560 --> 0:20:18.960
<v Speaker 3>It's time now for Talking tech and first up Stripe.

0:20:19.000 --> 0:20:21.440
<v Speaker 3>It's arranging a tender offer that would value the company

0:20:21.480 --> 0:20:24.440
<v Speaker 3>at one hundred and forty billion dollars now. According to sources,

0:20:24.640 --> 0:20:27.080
<v Speaker 3>that marks a roughly thirty billion dollar increase from the

0:20:27.080 --> 0:20:29.680
<v Speaker 3>most recent valuation in last year. The move is being

0:20:29.760 --> 0:20:32.720
<v Speaker 3>seen as a sign that the mighty fintech may continue

0:20:32.720 --> 0:20:33.639
<v Speaker 3>to delay.

0:20:33.560 --> 0:20:34.920
<v Speaker 4>As initial public offerings.

0:20:35.160 --> 0:20:38.200
<v Speaker 3>Plus, Cadence Design Systems is introducing a new AI tool

0:20:38.240 --> 0:20:41.440
<v Speaker 3>designed to speed up semiconductor development. Now the company's new

0:20:41.560 --> 0:20:42.679
<v Speaker 3>Chipstack AI.

0:20:42.560 --> 0:20:45.119
<v Speaker 4>Superagent, and it will act as as a system to.

0:20:45.280 --> 0:20:48.920
<v Speaker 3>Engineers helping with design debugging blueprint generation look. The move

0:20:48.960 --> 0:20:51.119
<v Speaker 3>comes as a tech industry really grapples with the surgeon

0:20:51.200 --> 0:20:54.960
<v Speaker 3>chip demand and ongoing labor shortages and Ali Baba. While

0:20:54.960 --> 0:20:58.320
<v Speaker 3>it's pushing further into robotics. The company has debuted a

0:20:58.400 --> 0:21:02.240
<v Speaker 3>new AI model called Rinbrain, designed to give robots in

0:21:02.320 --> 0:21:05.400
<v Speaker 3>more advanced understanding of their surroundings. With the release Ali

0:21:05.480 --> 0:21:08.399
<v Speaker 3>Baba takes on AI leaders such as Google and Nvidia

0:21:08.680 --> 0:21:09.320
<v Speaker 3>and what have you got?

0:21:10.040 --> 0:21:12.480
<v Speaker 2>Okay, So Andrews and Horowitz has become one of the

0:21:12.480 --> 0:21:17.480
<v Speaker 2>most influential voices shaping the Trump administration's AI policies. Sources

0:21:17.520 --> 0:21:20.120
<v Speaker 2>say the venture firm is often the first outside call

0:21:20.520 --> 0:21:23.879
<v Speaker 2>the top White House officials and senior Republican congressional aids

0:21:23.960 --> 0:21:27.720
<v Speaker 2>make when weighing moves that could affect tech companies AI plans.

0:21:27.760 --> 0:21:28.840
<v Speaker 6>And like a lot of this.

0:21:28.840 --> 0:21:33.840
<v Speaker 2>Reporting CARO is coming from current and former White House officials.

0:21:34.160 --> 0:21:36.600
<v Speaker 2>There are things that are clearly in plain sight, right.

0:21:36.640 --> 0:21:39.920
<v Speaker 2>So Shriram Krishnan, who is a senior AI policy advisor

0:21:40.000 --> 0:21:42.679
<v Speaker 2>to the President, is a former and recent Horowitz partner,

0:21:42.680 --> 0:21:45.440
<v Speaker 2>but he was in London, and there's reporting in there

0:21:45.480 --> 0:21:48.160
<v Speaker 2>about you know, David Sachs, who is from the world

0:21:48.160 --> 0:21:51.439
<v Speaker 2>of bench capital in Silicon Valley, is close to the

0:21:51.440 --> 0:21:53.960
<v Speaker 2>president and wants to hear out industry.

0:21:54.040 --> 0:21:54.919
<v Speaker 6>And Injurcent has.

0:21:54.760 --> 0:21:58.520
<v Speaker 3>Scale, has scale, it has money to put into super PACs.

0:21:58.520 --> 0:22:01.640
<v Speaker 3>We see what they did with the crypto fair Shake

0:22:01.720 --> 0:22:04.880
<v Speaker 3>in the way that they've then retargeted in the AI spectrum.

0:22:04.920 --> 0:22:07.040
<v Speaker 3>But what's also interesting is one of the lines in

0:22:07.080 --> 0:22:09.760
<v Speaker 3>the story says they de facto have a veto really

0:22:09.840 --> 0:22:11.120
<v Speaker 3>over certain AI policies.

0:22:11.160 --> 0:22:12.880
<v Speaker 4>Now they push back on that.

0:22:12.960 --> 0:22:17.760
<v Speaker 3>In particular, the named lobbyist for A sixteen Z says, Look,

0:22:17.800 --> 0:22:20.640
<v Speaker 3>the only person who's got AI veto is President Trump himself.

0:22:21.040 --> 0:22:21.359
<v Speaker 6>Yeah.

0:22:21.520 --> 0:22:24.320
<v Speaker 2>Yeah, the President makes policy back. You know, as we've reported,

0:22:24.600 --> 0:22:26.960
<v Speaker 2>he often gets handed the docs, reads them himself and

0:22:27.000 --> 0:22:30.000
<v Speaker 2>says good call. Coming up on the program, Runway CEO

0:22:30.080 --> 0:22:32.560
<v Speaker 2>Chris abou Venezuela will be with us to talk about

0:22:32.560 --> 0:22:35.720
<v Speaker 2>the startup's latest funding round at a five point three

0:22:35.800 --> 0:22:39.000
<v Speaker 2>billion dollar valuation. It is halftime in that conversation is

0:22:39.000 --> 0:22:39.680
<v Speaker 2>coming up next.

0:22:39.960 --> 0:22:40.920
<v Speaker 6>This is Bloomberg Tech.

0:22:47.800 --> 0:22:49.440
<v Speaker 3>Welcome back to bloom bed Tech. Let's check in on

0:22:49.480 --> 0:22:51.400
<v Speaker 3>the markets that actually giving away some of their gains

0:22:51.480 --> 0:22:54.119
<v Speaker 3>we had earlier in the session. We're now unchanged on

0:22:54.160 --> 0:22:56.880
<v Speaker 3>the NASAK one hundred. We're trying to digest the retail

0:22:56.960 --> 0:22:58.800
<v Speaker 3>data that we got which was weaker than expected. But

0:22:58.800 --> 0:23:00.119
<v Speaker 3>what does that mean in terms of the FED and

0:23:00.160 --> 0:23:03.160
<v Speaker 3>its ability to cut rates more broadly? But also where

0:23:03.240 --> 0:23:05.760
<v Speaker 3>are we buying back into? Is software still loved at

0:23:05.760 --> 0:23:07.919
<v Speaker 3>the moment, having been so beaten up last week, and

0:23:07.960 --> 0:23:10.000
<v Speaker 3>the hardware sol off is just a little bit crimping

0:23:10.040 --> 0:23:12.560
<v Speaker 3>some of that risk feeling of the day. I'm looking

0:23:12.600 --> 0:23:14.919
<v Speaker 3>at a risk off feeling in crypto Bitcoin not by

0:23:14.920 --> 0:23:17.360
<v Speaker 3>one point four percent. We're still at sixty nine thousand,

0:23:17.480 --> 0:23:20.000
<v Speaker 3>so well off the lows of last week, but it's

0:23:20.000 --> 0:23:22.560
<v Speaker 3>still the moon music not strong. Particularly in eth We're

0:23:22.560 --> 0:23:25.879
<v Speaker 3>off by four point six percent, So still looking for

0:23:25.920 --> 0:23:29.440
<v Speaker 3>a direction and really where the asset class buying comes

0:23:29.520 --> 0:23:32.399
<v Speaker 3>and steps back in. Move on to what's happening underneath

0:23:32.480 --> 0:23:35.879
<v Speaker 3>hoad of the benchmarks, because look, we are seeing significant.

0:23:35.359 --> 0:23:36.160
<v Speaker 4>Games of Spotify.

0:23:36.240 --> 0:23:38.679
<v Speaker 3>I might add it has been crushed leading up to

0:23:38.720 --> 0:23:41.199
<v Speaker 3>these numbers, so we're still down on the ear In

0:23:41.320 --> 0:23:43.399
<v Speaker 3>terms of a one year basis, We're up fifteen percent,

0:23:43.480 --> 0:23:47.240
<v Speaker 3>almost a record move on their shares after their addition

0:23:47.280 --> 0:23:51.240
<v Speaker 3>to monthly average users. Really eclipsed expectations. Snap gets an

0:23:51.359 --> 0:23:54.000
<v Speaker 3>upgrade EREC. It's really seeing that you could be buying

0:23:54.040 --> 0:23:57.160
<v Speaker 3>into the strength of subscriptions for this company. Data dog

0:23:57.359 --> 0:23:59.800
<v Speaker 3>check that out up sixteen percent against software was beaten up,

0:23:59.800 --> 0:24:03.199
<v Speaker 3>but it's still giving an earnings report that studded some

0:24:03.240 --> 0:24:05.760
<v Speaker 3>of those nerves at joining.

0:24:05.520 --> 0:24:08.600
<v Speaker 2>Us now is Bloomberg Aquities reporter Rhyme Vasselica, who I

0:24:08.600 --> 0:24:10.439
<v Speaker 2>don't know how he does it, but he's across the

0:24:10.600 --> 0:24:13.240
<v Speaker 2>entire lot. Let's start with that with the earnings part,

0:24:13.280 --> 0:24:15.720
<v Speaker 2>because that's probably more common to some of the bigger

0:24:15.800 --> 0:24:19.440
<v Speaker 2>movers right across the markets this morning, Spotify, Data Dog,

0:24:19.840 --> 0:24:21.760
<v Speaker 2>what are the trends we're seeing and what's the action

0:24:21.840 --> 0:24:22.919
<v Speaker 2>in the moment telling.

0:24:22.680 --> 0:24:25.440
<v Speaker 12>You, hey, good morning, thanks for having me. So a

0:24:25.480 --> 0:24:28.600
<v Speaker 12>lot of these companies have gotten beaten down, as you mentioned,

0:24:28.760 --> 0:24:31.080
<v Speaker 12>but they did a lot to reassure investors about some

0:24:31.119 --> 0:24:33.240
<v Speaker 12>of the bigger concerns that are facing them. So in

0:24:33.320 --> 0:24:36.280
<v Speaker 12>Spotify's case, they give a very strong outlook for their

0:24:36.400 --> 0:24:38.960
<v Speaker 12>user growth. They gave a very strong outlook for their margins,

0:24:38.960 --> 0:24:41.520
<v Speaker 12>both of which helped to address key concern that people

0:24:41.560 --> 0:24:45.680
<v Speaker 12>have been having. Spotify, I think us up by biggest day.

0:24:45.720 --> 0:24:47.720
<v Speaker 12>I think you in several years by now, So certainly

0:24:47.760 --> 0:24:51.040
<v Speaker 12>a relief rally there. Data Dog another company that has

0:24:51.040 --> 0:24:54.200
<v Speaker 12>been really beaten down as part of the ongoing route

0:24:54.200 --> 0:24:57.400
<v Speaker 12>in software stocks. Strong revenue forecasts there in the full

0:24:57.480 --> 0:24:59.920
<v Speaker 12>year revenue forecast I think was a little bit under expected,

0:25:00.359 --> 0:25:02.679
<v Speaker 12>But at the same time, analyst said, this looks like

0:25:02.720 --> 0:25:05.879
<v Speaker 12>it could be conservative, really helping to ease concerns about

0:25:06.080 --> 0:25:08.440
<v Speaker 12>what is the impact that some of these software companies

0:25:08.480 --> 0:25:11.240
<v Speaker 12>are going to see from AI related services.

0:25:11.680 --> 0:25:14.800
<v Speaker 3>That's it, isn't it. That's the read across it's how

0:25:14.880 --> 0:25:16.800
<v Speaker 3>much is AI going to be eating any of these

0:25:16.800 --> 0:25:20.359
<v Speaker 3>companies launches? And absolutely it must be the desire of

0:25:20.400 --> 0:25:22.720
<v Speaker 3>the executives right now to push back and to show

0:25:23.080 --> 0:25:26.240
<v Speaker 3>real operating margin growth and in particular real revenue. I

0:25:26.240 --> 0:25:28.320
<v Speaker 3>mean Data Dog was up twenty nine percent for their

0:25:28.400 --> 0:25:29.520
<v Speaker 3>last quarter, just gone.

0:25:30.000 --> 0:25:30.760
<v Speaker 6>Yeah. Absolutely.

0:25:30.840 --> 0:25:33.040
<v Speaker 12>Now I will say that the not all of the

0:25:33.080 --> 0:25:35.359
<v Speaker 12>results have been strong. So yesterday we got results from

0:25:35.400 --> 0:25:38.879
<v Speaker 12>the company called Monday dot Com that's not fell twenty percent.

0:25:38.920 --> 0:25:41.720
<v Speaker 12>I think that one wasn't strong enough to help ease

0:25:41.720 --> 0:25:43.960
<v Speaker 12>some of these concerns how to persisted around it. But

0:25:44.040 --> 0:25:45.520
<v Speaker 12>Data Dog is the one that I feel like you

0:25:45.560 --> 0:25:47.840
<v Speaker 12>hear a lot of people talking about when you look

0:25:47.840 --> 0:25:50.199
<v Speaker 12>at the overall software weakness, this is one name that

0:25:50.240 --> 0:25:52.679
<v Speaker 12>gets singled out repeatedly as one that was sort of

0:25:52.720 --> 0:25:55.640
<v Speaker 12>thrown out with the bathwater. So maybe overdone selling there.

0:25:55.920 --> 0:25:57.800
<v Speaker 12>Certainly the results here are giving the bowl.

0:25:57.880 --> 0:26:01.520
<v Speaker 2>Something to cheer about, bost Ryan for Stelika, thank you

0:26:01.640 --> 0:26:03.560
<v Speaker 2>very much. Just go to the private markets. In the

0:26:03.560 --> 0:26:06.680
<v Speaker 2>world of startups, AI start at Runway hit a five

0:26:06.720 --> 0:26:09.480
<v Speaker 2>point three billion dollar valuation after the company ciniched a

0:26:09.480 --> 0:26:12.560
<v Speaker 2>new round of funding, raising three hundred and fifteen million dollars.

0:26:13.119 --> 0:26:16.320
<v Speaker 2>Here to discuss Runway CEO christ Valezuela. You know, I

0:26:16.359 --> 0:26:19.840
<v Speaker 2>was reading all of the different reports about this this round,

0:26:19.840 --> 0:26:22.040
<v Speaker 2>and we'll get to the money part, but I think

0:26:22.320 --> 0:26:24.280
<v Speaker 2>what's jumping out at me Christ about it's great to

0:26:24.320 --> 0:26:26.479
<v Speaker 2>have you back on the program, By the way, is

0:26:26.960 --> 0:26:32.040
<v Speaker 2>the need to make models that are more useful, that

0:26:32.119 --> 0:26:34.199
<v Speaker 2>can do more. Do you think that's a that's a

0:26:34.240 --> 0:26:35.320
<v Speaker 2>fair place to start.

0:26:36.680 --> 0:26:39.760
<v Speaker 6>It is I'm thinking for and having me hear it is.

0:26:39.800 --> 0:26:42.760
<v Speaker 13>I think it's a reality of where the thegnologies heading

0:26:42.840 --> 0:26:46.359
<v Speaker 13>or where the models are. We've sent There's a little

0:26:46.359 --> 0:26:49.720
<v Speaker 13>bit with language models, but now I think world models

0:26:49.720 --> 0:26:53.040
<v Speaker 13>are basically eating research and eating AI. It's kind of

0:26:53.040 --> 0:26:55.880
<v Speaker 13>clear that the next round tier of what we expect

0:26:55.920 --> 0:26:58.560
<v Speaker 13>to see progress and all more valities will come from

0:26:58.600 --> 0:27:00.560
<v Speaker 13>video and from models that are going to understand and

0:27:00.600 --> 0:27:01.440
<v Speaker 13>simulate the world.

0:27:01.920 --> 0:27:03.560
<v Speaker 6>And so a lot of what we're doing with this new.

0:27:03.400 --> 0:27:05.639
<v Speaker 13>Funding is to basically double down on that vision and

0:27:05.640 --> 0:27:08.159
<v Speaker 13>that mission, which I think we've been first to market

0:27:08.160 --> 0:27:11.399
<v Speaker 13>and many other parts of AI, including of course video generation.

0:27:12.000 --> 0:27:14.240
<v Speaker 13>But now it feels like more present than ever. Then

0:27:14.320 --> 0:27:17.480
<v Speaker 13>world models will start really unlocking the next stage of

0:27:17.480 --> 0:27:18.280
<v Speaker 13>AI progress.

0:27:19.240 --> 0:27:21.080
<v Speaker 2>You may be a little beaten down by by this

0:27:21.160 --> 0:27:24.440
<v Speaker 2>story and line of questioning the capital is for compute,

0:27:24.760 --> 0:27:27.040
<v Speaker 2>or it's for talent, or it's for both, and give

0:27:27.119 --> 0:27:29.359
<v Speaker 2>us a sense of what that environment is right now.

0:27:30.200 --> 0:27:31.680
<v Speaker 6>Yeah, it's true for both.

0:27:31.720 --> 0:27:33.960
<v Speaker 13>I mean, the growth of the company seems from how

0:27:34.000 --> 0:27:37.800
<v Speaker 13>we allocate these resources effectively. And look, we've been very

0:27:37.840 --> 0:27:43.240
<v Speaker 13>focused and very efficient company, spending what we've raised in

0:27:43.320 --> 0:27:46.120
<v Speaker 13>putting it into compute, into training some of the world

0:27:46.280 --> 0:27:49.520
<v Speaker 13>best data models out there, and hiring we're for the

0:27:49.600 --> 0:27:51.280
<v Speaker 13>impact that we've had as a company and for the

0:27:51.320 --> 0:27:55.120
<v Speaker 13>kind of customers and enterprises that we serve. Very small team,

0:27:55.200 --> 0:27:57.600
<v Speaker 13>and so right now we are scaling that we are

0:27:57.920 --> 0:28:02.280
<v Speaker 13>hiring across the board, more researchers, more great talent, and

0:28:02.359 --> 0:28:05.040
<v Speaker 13>of course double down on compute, which is fundamental if

0:28:05.040 --> 0:28:06.439
<v Speaker 13>you really want to get to the next stage of

0:28:06.480 --> 0:28:07.440
<v Speaker 13>what we think will.

0:28:07.240 --> 0:28:09.480
<v Speaker 3>Come the kind of customers you serve?

0:28:10.119 --> 0:28:12.000
<v Speaker 4>Christ about who is that? Then?

0:28:12.280 --> 0:28:17.080
<v Speaker 3>As we still typecast you as an AI video generation company,

0:28:17.119 --> 0:28:19.960
<v Speaker 3>but you're not. You're a robotics company, you're an avatar company,

0:28:20.040 --> 0:28:20.959
<v Speaker 3>you're a world company.

0:28:21.000 --> 0:28:21.840
<v Speaker 4>So who do you serve?

0:28:22.800 --> 0:28:24.000
<v Speaker 6>Yeah, of course that's a good question.

0:28:24.040 --> 0:28:27.120
<v Speaker 13>So look, I think it's important to understand how AI

0:28:27.160 --> 0:28:31.480
<v Speaker 13>has progressed and language models are basically describing reality. World

0:28:31.480 --> 0:28:34.480
<v Speaker 13>models are simulating the world. And when you stimulate the world,

0:28:34.560 --> 0:28:37.359
<v Speaker 13>you can start tackling many different kind of industries.

0:28:37.440 --> 0:28:38.640
<v Speaker 6>So the question of.

0:28:38.600 --> 0:28:42.280
<v Speaker 13>Like, wo AI models will help advertising, marketing, Hollywood media,

0:28:42.680 --> 0:28:44.760
<v Speaker 13>I think the question is answered and the answer is yes.

0:28:45.080 --> 0:28:48.400
<v Speaker 13>It's kind of a pretty obvious yes to these days.

0:28:48.560 --> 0:28:51.040
<v Speaker 13>And so we're the best company and the best kind

0:28:51.080 --> 0:28:55.600
<v Speaker 13>of like solution for marketers, media, Hollywood entertainment. We've been

0:28:55.680 --> 0:28:58.240
<v Speaker 13>doing this for quite some time and so I think

0:28:58.240 --> 0:28:59.960
<v Speaker 13>we're won there and going to continue to grow.

0:29:00.040 --> 0:29:01.600
<v Speaker 6>There's a lot of expansion that we have to do

0:29:01.600 --> 0:29:02.520
<v Speaker 6>in the industry there.

0:29:02.800 --> 0:29:05.360
<v Speaker 13>Now the models can simulate the world, So we started

0:29:05.360 --> 0:29:08.040
<v Speaker 13>to simulate not only media and entertainment, but we started

0:29:08.040 --> 0:29:10.920
<v Speaker 13>to simulate how the world works, and that is effectively

0:29:11.080 --> 0:29:13.840
<v Speaker 13>very valuable for robotics, for physically a I for ave

0:29:14.600 --> 0:29:17.080
<v Speaker 13>and so another way of thinking about it is we

0:29:17.120 --> 0:29:19.280
<v Speaker 13>have some of the best tools to create media and

0:29:19.400 --> 0:29:22.200
<v Speaker 13>videos for humans to watch. We now started to create

0:29:22.280 --> 0:29:25.440
<v Speaker 13>videos and media for robots to watch, and that for

0:29:25.520 --> 0:29:28.440
<v Speaker 13>those robots to learn from that data, which is fascinating.

0:29:28.840 --> 0:29:31.960
<v Speaker 3>It is fascinating. It also has different impacts on different people,

0:29:32.120 --> 0:29:34.600
<v Speaker 3>and when you say it helps an industry, that's kind

0:29:34.600 --> 0:29:36.960
<v Speaker 3>of in the eye of the beholder. Chris Well, talk

0:29:37.000 --> 0:29:39.440
<v Speaker 3>to us about how you think about as a leader

0:29:39.440 --> 0:29:42.480
<v Speaker 3>of your business, the implications this has for the labor market,

0:29:42.640 --> 0:29:46.320
<v Speaker 3>for what it means more broadly for humans watching content

0:29:46.440 --> 0:29:49.720
<v Speaker 3>that wasn't made by people and the reality of them.

0:29:50.720 --> 0:29:50.920
<v Speaker 6>Yeah.

0:29:51.160 --> 0:29:54.560
<v Speaker 13>Look, that's a question that we've tried to grapple for

0:29:54.600 --> 0:29:56.360
<v Speaker 13>a long time in terms of how do we make

0:29:56.400 --> 0:29:59.800
<v Speaker 13>sure that companies and industries react accordingly to what's coming

0:30:00.000 --> 0:30:02.920
<v Speaker 13>that's happening. And I think my take, after seeing the

0:30:02.960 --> 0:30:05.000
<v Speaker 13>industry for quite some times, I think the industry's are

0:30:05.040 --> 0:30:07.160
<v Speaker 13>acting pretty well. To be honest, if you look at

0:30:07.200 --> 0:30:10.400
<v Speaker 13>advertising agencies, if you look at Hollywood, it's pretty obvious

0:30:10.440 --> 0:30:13.240
<v Speaker 13>these days is that every studio has an AI department,

0:30:13.280 --> 0:30:17.120
<v Speaker 13>an AI can function and ichi forth, and the organization

0:30:17.200 --> 0:30:20.440
<v Speaker 13>has started to rethink themselves in an AI for native world,

0:30:20.920 --> 0:30:24.320
<v Speaker 13>and that has allowed themselves to really find new jobs,

0:30:24.400 --> 0:30:26.400
<v Speaker 13>new types of things that they weren't able to do before.

0:30:26.480 --> 0:30:29.840
<v Speaker 13>So in a way, that's taking some of the tasks

0:30:29.920 --> 0:30:31.960
<v Speaker 13>and things we've seen in the past, and that will

0:30:32.000 --> 0:30:33.200
<v Speaker 13>go away, and that's natural.

0:30:33.240 --> 0:30:35.760
<v Speaker 6>I think that we've solely realized that that's the case.

0:30:36.200 --> 0:30:38.880
<v Speaker 13>At the same time, we've seen more jobs being put

0:30:38.880 --> 0:30:41.320
<v Speaker 13>out there with new descriptions on things that even a

0:30:41.400 --> 0:30:43.920
<v Speaker 13>year ago would have been unthinkable of. And I think

0:30:43.960 --> 0:30:47.160
<v Speaker 13>that reaction is now becoming obvious, notably for media, for Hollywood,

0:30:47.320 --> 0:30:49.880
<v Speaker 13>for for gaming companies, and for many other industries.

0:30:49.920 --> 0:30:52.160
<v Speaker 6>Even for software engineers. I think it's kind of pretty obviously.

0:30:52.240 --> 0:30:54.120
<v Speaker 13>Day is where you start to see that you can

0:30:54.160 --> 0:30:57.280
<v Speaker 13>automate and simplify a lot of the entry like level

0:30:57.360 --> 0:30:59.480
<v Speaker 13>tasks and jobs, and so that's where I think we

0:30:59.480 --> 0:31:01.440
<v Speaker 13>will continue to see growth industry wise.

0:31:02.040 --> 0:31:05.040
<v Speaker 6>Meet and Entertainment Chris about.

0:31:04.960 --> 0:31:07.000
<v Speaker 2>We find that that there's a lot of interest in

0:31:07.080 --> 0:31:09.960
<v Speaker 2>Runway right as a company, how the models are being

0:31:09.960 --> 0:31:14.600
<v Speaker 2>deployed and used commercialization. This was a big round. The

0:31:14.680 --> 0:31:17.320
<v Speaker 2>valuation is interesting. A lot of the questions we get

0:31:17.360 --> 0:31:19.960
<v Speaker 2>for you about your future and whether you plan to

0:31:20.000 --> 0:31:22.280
<v Speaker 2>go public, So I'd ask you to kind of be

0:31:22.400 --> 0:31:27.120
<v Speaker 2>candid about that, the benefits and negatives of being a

0:31:27.160 --> 0:31:30.800
<v Speaker 2>public company, and why you might consider doing that.

0:31:32.760 --> 0:31:35.960
<v Speaker 13>It's not something we're not consider at some point. I

0:31:35.960 --> 0:31:40.520
<v Speaker 13>think right now, given the breath and research innovation that

0:31:40.560 --> 0:31:42.480
<v Speaker 13>we conduct at the company, I think we're in a

0:31:42.560 --> 0:31:45.280
<v Speaker 13>much better position thinking about being private for a bit

0:31:45.320 --> 0:31:48.000
<v Speaker 13>more time. I think there's tradeoffs as being a public

0:31:48.040 --> 0:31:50.480
<v Speaker 13>company in terms of how you report, how you think

0:31:50.480 --> 0:31:52.320
<v Speaker 13>about your growth, the kind of things that you need

0:31:52.360 --> 0:31:55.160
<v Speaker 13>to focus on right now. For me, this is an

0:31:55.200 --> 0:31:58.920
<v Speaker 13>area of unique from tiear research, and being a private

0:31:58.920 --> 0:32:00.960
<v Speaker 13>company allows you to do that frontier research in a

0:32:01.040 --> 0:32:04.720
<v Speaker 13>much more with much for freedom, and so it's something

0:32:04.720 --> 0:32:07.840
<v Speaker 13>we wouldn't necessarily not consider, but right now, given the

0:32:07.840 --> 0:32:10.440
<v Speaker 13>growth that we see, will probably remain a private company

0:32:10.440 --> 0:32:12.640
<v Speaker 13>for quite some time to retain their independence.

0:32:13.400 --> 0:32:16.440
<v Speaker 3>Chase Well, briefly, I so of asked you about whether

0:32:16.640 --> 0:32:19.480
<v Speaker 3>the employee base in companies already. Am I as a

0:32:19.560 --> 0:32:23.000
<v Speaker 3>human ready to digest the wall of AI made content

0:32:23.040 --> 0:32:24.480
<v Speaker 3>and discern what's real and what's not.

0:32:25.840 --> 0:32:30.040
<v Speaker 6>Yeah, you know, that's that's an interesting question. I actually

0:32:30.080 --> 0:32:33.120
<v Speaker 6>will I actually will kind of flip the assumption there.

0:32:33.320 --> 0:32:36.080
<v Speaker 13>I would start to assume when I will suggest everyone

0:32:36.120 --> 0:32:38.880
<v Speaker 13>probably starts to assume that most of the content that

0:32:38.920 --> 0:32:41.640
<v Speaker 13>you see how is going to be generated, and in

0:32:41.680 --> 0:32:43.560
<v Speaker 13>that case, what we should be kind of water marketing

0:32:43.600 --> 0:32:47.040
<v Speaker 13>and protecting isn't necessarily the generated content is the real content.

0:32:47.080 --> 0:32:49.080
<v Speaker 13>It's the content that we've seen and we've recorded from

0:32:49.080 --> 0:32:51.280
<v Speaker 13>a camera. And then inverts a little bit of the

0:32:51.280 --> 0:32:55.320
<v Speaker 13>problem because yes, more content will start becoming the norm.

0:32:55.440 --> 0:32:57.560
<v Speaker 13>More AI content will start becoming the norm of the

0:32:57.600 --> 0:33:00.400
<v Speaker 13>content we interact with, specifically when you can also doing

0:33:00.480 --> 0:33:02.440
<v Speaker 13>in real time, which is going to be a fascinating

0:33:02.480 --> 0:33:05.320
<v Speaker 13>new avenue of like gaming and nonlinear experiences.

0:33:06.600 --> 0:33:08.360
<v Speaker 6>I think the world is adjusting to that.

0:33:08.400 --> 0:33:12.080
<v Speaker 13>There's definitely a culture on social adjustment, period, but from

0:33:12.080 --> 0:33:15.120
<v Speaker 13>what I've seen, I think it's happening faster there before,

0:33:15.200 --> 0:33:17.320
<v Speaker 13>and just to be period because it's going to get

0:33:17.360 --> 0:33:18.320
<v Speaker 13>even even more crezy.

0:33:18.800 --> 0:33:22.160
<v Speaker 3>Christopher Valenzuela Runway CEO, it's great to have you back.

0:33:22.280 --> 0:33:23.800
<v Speaker 6>We appreciate it, of course, thank you.

0:33:23.840 --> 0:33:27.840
<v Speaker 3>Grayce coming up ahead of a landmark addiction trial. Meta

0:33:28.120 --> 0:33:31.120
<v Speaker 3>run thousands of commercials to promote its safety work with teens.

0:33:31.280 --> 0:33:33.440
<v Speaker 4>Details on that. Next, this is a blue neg.

0:33:33.360 --> 0:33:41.840
<v Speaker 6>Tech Instagram owner.

0:33:41.920 --> 0:33:46.000
<v Speaker 2>Meta paid for thousands of TV commercials that promoted its

0:33:46.040 --> 0:33:50.240
<v Speaker 2>safety with teens, all ahead of a landmark case examining

0:33:50.240 --> 0:33:55.480
<v Speaker 2>whether the company intentionally designed products to hook children. Bloombers

0:33:55.520 --> 0:33:57.840
<v Speaker 2>Kirk Wagner, who leads our coverage of matters here with us.

0:33:58.200 --> 0:34:01.840
<v Speaker 2>This is about timing and proximity to two events.

0:34:01.880 --> 0:34:04.120
<v Speaker 6>But what do we need to know in our reporting?

0:34:04.280 --> 0:34:06.600
<v Speaker 14>Yeah, so the trial is sort of the backdrop of

0:34:06.600 --> 0:34:09.600
<v Speaker 14>this whole thing that started yesterday in Los Angeles.

0:34:09.760 --> 0:34:10.920
<v Speaker 6>As you point out, the.

0:34:11.880 --> 0:34:15.040
<v Speaker 14>Allegations here are that Meta and YouTube and others have

0:34:15.120 --> 0:34:17.759
<v Speaker 14>created these products to addict young people, you know, the

0:34:17.800 --> 0:34:20.879
<v Speaker 14>infinite scrolling, the algorithms, things like that. And so these

0:34:21.040 --> 0:34:23.719
<v Speaker 14>advertisements that Meta has been running for a while, but

0:34:23.840 --> 0:34:28.279
<v Speaker 14>really in earnest since November, promote their team accounts and

0:34:28.360 --> 0:34:30.160
<v Speaker 14>all of the stuff they're doing to try and help

0:34:30.760 --> 0:34:34.080
<v Speaker 14>and combat this issue with teenagers. And so again timing

0:34:34.160 --> 0:34:35.920
<v Speaker 14>is interesting here. They're trying to sort of set this

0:34:36.040 --> 0:34:38.879
<v Speaker 14>narrative about themselves with the backdrop of this trial. Going

0:34:38.880 --> 0:34:40.040
<v Speaker 14>on at the same time.

0:34:40.120 --> 0:34:42.960
<v Speaker 3>Now in the story talks of tech Oversite Project executive

0:34:42.960 --> 0:34:46.399
<v Speaker 3>director Sasha Howeth really talking about this as being an

0:34:46.480 --> 0:34:49.480
<v Speaker 3>influence play, but in many ways, to take the other side,

0:34:49.640 --> 0:34:50.160
<v Speaker 3>it's meant to.

0:34:50.120 --> 0:34:52.279
<v Speaker 4>Be an influence play for parents.

0:34:51.960 --> 0:34:54.920
<v Speaker 3>For kids to understand that these tools are there for

0:34:54.960 --> 0:34:56.120
<v Speaker 3>them to use, right.

0:34:57.680 --> 0:34:58.200
<v Speaker 6>Exactly.

0:34:58.280 --> 0:35:00.400
<v Speaker 14>And you know, you think about if you're Meta and

0:35:00.400 --> 0:35:02.400
<v Speaker 14>you're sitting here going, Okay, there's going to be this

0:35:02.480 --> 0:35:04.520
<v Speaker 14>landmark trial, and in fact, there's going to be trials

0:35:04.719 --> 0:35:07.520
<v Speaker 14>for Meta around child safety and tea and safety throughout

0:35:07.520 --> 0:35:09.640
<v Speaker 14>the year. And so if you think about there's this

0:35:09.719 --> 0:35:13.920
<v Speaker 14>steady drumbeat of headlines and news and coverage about that issue,

0:35:14.040 --> 0:35:16.320
<v Speaker 14>you certainly want to have your viewpoint.

0:35:15.800 --> 0:35:16.480
<v Speaker 6>Out there as well.

0:35:16.520 --> 0:35:18.719
<v Speaker 14>And so I think that's why we see them promoting

0:35:18.760 --> 0:35:21.640
<v Speaker 14>these teen accounts, which they were all about about two

0:35:21.719 --> 0:35:25.600
<v Speaker 14>years ago, and really trying, to your point, Caroline, show

0:35:25.719 --> 0:35:28.040
<v Speaker 14>parents that, hey, all these things you're reading in the press,

0:35:28.080 --> 0:35:32.440
<v Speaker 14>like we are addressing them with these safety settings that

0:35:32.480 --> 0:35:33.760
<v Speaker 14>we've put in place as well.

0:35:33.840 --> 0:35:35.839
<v Speaker 4>And most Kurt Wagner, we thank you.

0:35:36.000 --> 0:35:37.879
<v Speaker 3>We're going to talk more about that story in a moment,

0:35:37.880 --> 0:35:39.560
<v Speaker 3>but first then you've got some breaking news.

0:35:40.080 --> 0:35:40.400
<v Speaker 6>Yeah.

0:35:40.520 --> 0:35:45.520
<v Speaker 2>My understanding is that Tesla has promoted Joe Ward, who

0:35:45.560 --> 0:35:49.360
<v Speaker 2>is the vice president leading the emir Region operations, to

0:35:49.480 --> 0:35:53.720
<v Speaker 2>basically run sales, service and delivery globally. All those teams

0:35:53.719 --> 0:35:56.239
<v Speaker 2>around the world are now reporting into him. We don't

0:35:56.239 --> 0:35:58.600
<v Speaker 2>know that much about Joe Ward. I think he started

0:35:58.600 --> 0:36:01.319
<v Speaker 2>at Tesla as an intern and quite a long time ago,

0:36:01.719 --> 0:36:04.359
<v Speaker 2>has kind of closed climbed up the ranks and been

0:36:04.360 --> 0:36:07.839
<v Speaker 2>based in Europe. You'll remember yesterday Bloomberg had reported that

0:36:07.960 --> 0:36:10.520
<v Speaker 2>Raj Jigg and Nathan had left Tesla and he had

0:36:10.560 --> 0:36:13.799
<v Speaker 2>been running the sales org. And you know, we try

0:36:13.840 --> 0:36:15.920
<v Speaker 2>and track this because of how it runs with everything

0:36:16.000 --> 0:36:19.000
<v Speaker 2>kind of filtering into Elon Musk. Ultimately we'll keep tracking

0:36:19.000 --> 0:36:19.480
<v Speaker 2>it a carrot.

0:36:19.560 --> 0:36:22.319
<v Speaker 3>Yeah, yeah, AA sales they've been tough of late. Now

0:36:22.400 --> 0:36:25.600
<v Speaker 3>let's just return to our original conversation, because, as mentioned,

0:36:25.760 --> 0:36:28.920
<v Speaker 3>it's not just Meta that's currently under scrutiny over safety,

0:36:28.960 --> 0:36:32.040
<v Speaker 3>particularly for teens. Other tech giants think Google when it's

0:36:32.080 --> 0:36:34.800
<v Speaker 3>YouTube of facing lawsuits as well over the addictive nature

0:36:34.800 --> 0:36:35.840
<v Speaker 3>of social media.

0:36:36.000 --> 0:36:36.920
<v Speaker 4>Let's get more on all of this.

0:36:37.080 --> 0:36:39.560
<v Speaker 3>Eric Goldman, he's a law professor at Santa Clara University

0:36:39.560 --> 0:36:41.279
<v Speaker 3>School of Law and co director of the school at

0:36:41.360 --> 0:36:45.200
<v Speaker 3>Center for High Tech Law. Eric, as I mentioned, it's Meta,

0:36:45.320 --> 0:36:50.280
<v Speaker 3>it's Google, it's also Snap and TikTok facing legal focus

0:36:50.360 --> 0:36:51.040
<v Speaker 3>throughout the year.

0:36:51.120 --> 0:36:51.920
<v Speaker 4>Correct.

0:36:52.920 --> 0:36:55.080
<v Speaker 15>Yeah, there's a trial taking place right now in Los

0:36:55.120 --> 0:36:58.840
<v Speaker 15>Angeles putting all four of them on trial. There's also

0:36:58.960 --> 0:37:02.480
<v Speaker 15>a federal key since putting them on trial in June,

0:37:03.280 --> 0:37:06.080
<v Speaker 15>and there are lawsuits against all of them throughout the country.

0:37:06.200 --> 0:37:07.080
<v Speaker 15>In parallel with that.

0:37:08.120 --> 0:37:12.239
<v Speaker 3>The argument at its core from some of these so

0:37:12.360 --> 0:37:17.040
<v Speaker 3>called victims are that these tools and these platforms were

0:37:17.040 --> 0:37:20.560
<v Speaker 3>designed to hook teams young brains in particular, and keep

0:37:20.600 --> 0:37:23.400
<v Speaker 3>them coming back for more. Eric, is that the understanding

0:37:23.440 --> 0:37:25.719
<v Speaker 3>you have, what legal credence? What fight do they have

0:37:25.760 --> 0:37:26.319
<v Speaker 3>to fight here?

0:37:27.480 --> 0:37:30.280
<v Speaker 15>So the basic argument for the planet is, as you described,

0:37:30.320 --> 0:37:34.400
<v Speaker 15>that the sites were designed to intentionally addict users, and

0:37:34.400 --> 0:37:37.000
<v Speaker 15>that the services are therefore liable for the harms that

0:37:37.120 --> 0:37:40.920
<v Speaker 15>resulted from that addiction. There's a lot of questions about that.

0:37:41.360 --> 0:37:44.440
<v Speaker 15>For example, we have to ask what does it even

0:37:44.440 --> 0:37:47.520
<v Speaker 15>mean to be quote addicted to a social media service.

0:37:47.600 --> 0:37:50.840
<v Speaker 15>There aren't medical or psychological definitions of that. But I

0:37:50.920 --> 0:37:53.439
<v Speaker 15>just have to talk about whether or not the services

0:37:53.440 --> 0:37:56.600
<v Speaker 15>caused the harms that the victims has suffered. There are

0:37:56.640 --> 0:38:00.600
<v Speaker 15>many causes of harms in people's lives, and so that

0:38:00.719 --> 0:38:04.560
<v Speaker 15>causation is going to be tricky for the playoffs as well.

0:38:04.640 --> 0:38:07.799
<v Speaker 2>Let's get Meta's response to these lawsuits in questions, right,

0:38:07.840 --> 0:38:11.640
<v Speaker 2>the company says that they don't reflect reality. The evidence

0:38:11.680 --> 0:38:15.799
<v Speaker 2>will show a company deeply and responsibly confronting tough questions

0:38:16.520 --> 0:38:20.360
<v Speaker 2>concerning research, listening to parents, academics and safety experts, etc.

0:38:21.200 --> 0:38:24.440
<v Speaker 2>That's the company's reaction. Actually, what's happening in response to

0:38:24.480 --> 0:38:29.520
<v Speaker 2>the wider issue is you see state by state, different

0:38:29.640 --> 0:38:34.480
<v Speaker 2>laws being enacted that are consistent with the complaints of

0:38:34.520 --> 0:38:39.279
<v Speaker 2>the plaintiffs. That's my read of it. Professor Goldman, is

0:38:39.320 --> 0:38:42.279
<v Speaker 2>that a sort of useful strategy towards a solution here?

0:38:43.960 --> 0:38:45.960
<v Speaker 15>I think you need to be careful about using the

0:38:46.000 --> 0:38:48.279
<v Speaker 15>term solution because in order for us to talk about that,

0:38:48.280 --> 0:38:50.440
<v Speaker 15>we have to be very precise about exactly what problem

0:38:50.440 --> 0:38:52.840
<v Speaker 15>we're trying to fix. There are a lot of problems

0:38:52.840 --> 0:38:55.759
<v Speaker 15>in our society, a lot of problems plaguing kids, and

0:38:55.920 --> 0:38:59.800
<v Speaker 15>there are also problems of over responding to the content

0:38:59.800 --> 0:39:02.600
<v Speaker 15>on line that looks a lot like censorship, and so

0:39:02.960 --> 0:39:05.399
<v Speaker 15>when we talk about solutions, we can't do that without

0:39:05.400 --> 0:39:08.160
<v Speaker 15>talking about the problems. Having said that, I think that

0:39:08.640 --> 0:39:11.400
<v Speaker 15>we're going to see a battle of experts in these trials,

0:39:11.680 --> 0:39:14.239
<v Speaker 15>where both sides are going to bring in the best

0:39:14.320 --> 0:39:16.759
<v Speaker 15>and brightest minds to tell their case to the jury.

0:39:16.800 --> 0:39:20.560
<v Speaker 15>We're going to hear from average Americans, essentially plucked off

0:39:20.600 --> 0:39:22.799
<v Speaker 15>the streets, who are going to weigh that evidence and

0:39:22.840 --> 0:39:24.640
<v Speaker 15>try and tell us whether or not they think there's

0:39:24.640 --> 0:39:26.280
<v Speaker 15>a problem here that needs to be addressed.

0:39:27.840 --> 0:39:28.280
<v Speaker 6>Professor.

0:39:28.520 --> 0:39:33.160
<v Speaker 2>In the course of proceedings throughout the trials, those that

0:39:33.600 --> 0:39:36.960
<v Speaker 2>are kind of trying to come to a decision in them,

0:39:37.320 --> 0:39:41.000
<v Speaker 2>those presiding over the case, to what degree do they

0:39:41.000 --> 0:39:44.439
<v Speaker 2>have expertise in the technicalities behind this?

0:39:45.800 --> 0:39:49.960
<v Speaker 15>So ideally the jury doesn't have any direct expertise they're

0:39:49.960 --> 0:39:52.200
<v Speaker 15>bringing in. The idea is that that's not what they're

0:39:53.600 --> 0:39:55.799
<v Speaker 15>being asked to do. They're going to be presented with

0:39:55.840 --> 0:39:59.000
<v Speaker 15>evidence from experts that have been chosen by the parties,

0:39:59.239 --> 0:40:03.400
<v Speaker 15>and they're supposed to to sift through that evidence, discuss it, evaluated,

0:40:03.560 --> 0:40:06.480
<v Speaker 15>and try to say which they find more convincing. So

0:40:06.760 --> 0:40:08.960
<v Speaker 15>in that sense, I think it's even better for us

0:40:09.000 --> 0:40:11.520
<v Speaker 15>that it's not a panel of express training side. It's

0:40:11.600 --> 0:40:14.280
<v Speaker 15>really a bunch of what we hope are well meaning

0:40:14.320 --> 0:40:18.000
<v Speaker 15>Americans who are there to just tell us. I'm not

0:40:18.040 --> 0:40:19.759
<v Speaker 15>going to respond to the hype. I'm not going to

0:40:19.840 --> 0:40:22.200
<v Speaker 15>listen to the critics and the media, or the playoffs

0:40:22.239 --> 0:40:25.320
<v Speaker 15>lawyers and the politicians per se. I'm going to listen

0:40:25.320 --> 0:40:26.000
<v Speaker 15>to the evidence.

0:40:28.000 --> 0:40:30.879
<v Speaker 2>Eric Goldman of Santa Clara University School of Law, thank

0:40:30.920 --> 0:40:32.680
<v Speaker 2>you very much for your time. Now coming up on

0:40:32.719 --> 0:40:35.480
<v Speaker 2>the show, Lift's earnings are out later today, We're going

0:40:35.520 --> 0:40:38.239
<v Speaker 2>to preview see what to expect that's next.

0:40:38.239 --> 0:40:39.320
<v Speaker 6>This is Boomberg Tech.

0:40:52.000 --> 0:40:54.719
<v Speaker 3>Lift earnings. They're out after the bell today and less

0:40:54.719 --> 0:40:57.520
<v Speaker 3>than a week after rival Uber kind of disappointed investors

0:40:57.560 --> 0:40:59.400
<v Speaker 3>with its profit outlook. Let's talk about what we can

0:40:59.440 --> 0:41:02.480
<v Speaker 3>expect from with bluem Meg's gig economy reports and Natalie Land,

0:41:02.760 --> 0:41:05.840
<v Speaker 3>we are expecting pretty healthy growth bookings right for the

0:41:05.840 --> 0:41:06.600
<v Speaker 3>fiscal court.

0:41:06.440 --> 0:41:10.120
<v Speaker 9>To just gone yes. If Uber's earning towards any guide.

0:41:10.640 --> 0:41:13.279
<v Speaker 9>They posted pretty strong for Q and Lyft is also

0:41:13.360 --> 0:41:17.040
<v Speaker 9>expected to post pretty strong growth there, one of the

0:41:17.080 --> 0:41:19.520
<v Speaker 9>strongest growths we've seen in nearly two years.

0:41:20.680 --> 0:41:24.360
<v Speaker 2>Natalie Uber used its earnings to position itself structurally and

0:41:24.400 --> 0:41:27.880
<v Speaker 2>from a personnel perspective for its robotaxi era. You know,

0:41:27.920 --> 0:41:30.040
<v Speaker 2>we've spent a lot of time with Lyft, who plan

0:41:30.160 --> 0:41:32.359
<v Speaker 2>to do the same. Right, what do we expect them

0:41:32.400 --> 0:41:34.520
<v Speaker 2>to communicate in earnings in that respect?

0:41:35.719 --> 0:41:38.480
<v Speaker 9>Lyft is going to row out avs in a couple

0:41:38.520 --> 0:41:41.919
<v Speaker 9>of cities this year, as they announced last year. Those

0:41:41.960 --> 0:41:46.319
<v Speaker 9>are Dallas in Nashville. So we might hear some of

0:41:46.360 --> 0:41:50.359
<v Speaker 9>their royal plans today and also hear them talk about

0:41:50.400 --> 0:41:55.359
<v Speaker 9>how their you know, fleet operations units subsidiary flags Drive

0:41:55.719 --> 0:41:56.440
<v Speaker 9>might help with that.

0:41:57.239 --> 0:41:59.960
<v Speaker 3>And Dave Richard and the team of late have really

0:42:00.080 --> 0:42:02.000
<v Speaker 3>got the memo that they need to go global. They've

0:42:02.000 --> 0:42:04.239
<v Speaker 3>been making m and a. How is that speaking to

0:42:04.239 --> 0:42:05.399
<v Speaker 3>the growth opportunity here?

0:42:05.920 --> 0:42:08.080
<v Speaker 9>So the fourth quarter would be the first full quarter

0:42:08.120 --> 0:42:10.759
<v Speaker 9>where they take into account the European business Free Now,

0:42:10.760 --> 0:42:13.200
<v Speaker 9>which is the taxi app in Europe that they acquired

0:42:13.239 --> 0:42:15.759
<v Speaker 9>last year, so they might get a boost there. And

0:42:15.840 --> 0:42:18.600
<v Speaker 9>they've also acquired this chauffeuring business which is like this

0:42:18.760 --> 0:42:21.719
<v Speaker 9>high end rides type which could also vote well for

0:42:21.760 --> 0:42:22.680
<v Speaker 9>the bottom line.

0:42:23.760 --> 0:42:25.640
<v Speaker 2>Did Lift to actually do anything in the Court of

0:42:25.680 --> 0:42:27.320
<v Speaker 2>Natalie that you kind of think might give them a

0:42:27.320 --> 0:42:29.080
<v Speaker 2>little bit of a boost. Is there anything that they've

0:42:29.160 --> 0:42:32.160
<v Speaker 2>already announced so we think they'll show traction on So.

0:42:32.239 --> 0:42:35.000
<v Speaker 9>Last year was a big year for their silver product,

0:42:35.040 --> 0:42:39.640
<v Speaker 9>which is aimed at elderly users. They simplified their app

0:42:40.080 --> 0:42:42.719
<v Speaker 9>interface for users, so there could be a boost in

0:42:42.880 --> 0:42:46.279
<v Speaker 9>rider base there. There also boosts a lot of their partnerships.

0:42:46.320 --> 0:42:49.840
<v Speaker 9>In November, they announced a partnership with United Air letting

0:42:49.840 --> 0:42:52.800
<v Speaker 9>people earn miles if they'd connect their accounts with Lift,

0:42:53.000 --> 0:42:57.239
<v Speaker 9>so that might attract more businesses there on airport rides too.

0:42:58.239 --> 0:43:00.839
<v Speaker 3>How are they in terms of scale versus I mean,

0:43:00.880 --> 0:43:03.480
<v Speaker 3>at the moment analysts really like the stop fifteen of

0:43:03.520 --> 0:43:06.719
<v Speaker 3>them say by only two say sell? But is it

0:43:07.000 --> 0:43:09.320
<v Speaker 3>a lightful like comparison here? Are they always going to

0:43:09.360 --> 0:43:10.040
<v Speaker 3>be the second film?

0:43:10.600 --> 0:43:14.800
<v Speaker 9>Yeah? Like lifts business is you know thirty or twenty

0:43:14.800 --> 0:43:18.120
<v Speaker 9>to thirty percent market share in the US, and they

0:43:19.080 --> 0:43:21.799
<v Speaker 9>they're just starting with their global expansion compared to Uber,

0:43:21.840 --> 0:43:24.000
<v Speaker 9>which is already in more than you know, thirty countries,

0:43:24.440 --> 0:43:26.440
<v Speaker 9>and so there's still a lot of catch up there.

0:43:26.680 --> 0:43:29.560
<v Speaker 9>But we know Lyft is on track with their three

0:43:29.640 --> 0:43:30.520
<v Speaker 9>year targets too.

0:43:31.320 --> 0:43:33.160
<v Speaker 6>Bloomberg's natally lunk thank you very much.

0:43:33.239 --> 0:43:35.360
<v Speaker 2>I mean the earnings in the moment carries Spotify on

0:43:35.480 --> 0:43:38.239
<v Speaker 2>track for their best day in about seven years. Thirty

0:43:38.280 --> 0:43:41.000
<v Speaker 2>eight million subscribers added called it gone seven hundred and

0:43:41.040 --> 0:43:43.200
<v Speaker 2>fifty one million total. It was all about the unwrapped

0:43:43.600 --> 0:43:46.000
<v Speaker 2>my average age thirty seven year old listener.

0:43:46.000 --> 0:43:48.239
<v Speaker 3>Apparently, I think I pipped you to the post with

0:43:48.320 --> 0:43:50.640
<v Speaker 3>a thirty two year old listener, but I thank my

0:43:50.760 --> 0:43:51.200
<v Speaker 3>kids for that.

0:43:51.800 --> 0:43:53.600
<v Speaker 4>That does it for this edition of Bloomberg Tech.

0:43:54.800 --> 0:43:56.160
<v Speaker 2>Check out the pod. You know where to find it.

0:43:56.280 --> 0:43:56.920
<v Speaker 6>This is Bloomberg