WEBVTT - Rivian Earnings and WeWork's Bankruptcy

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<v Speaker 1>From the heart where Innovation, money and power Collie in

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<v Speaker 1>Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>Now from Lomog's world headquarters in New York.

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<v Speaker 4>I'm Caroline High and I'm me d Lodlow, also in

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<v Speaker 4>New York this week, and this is Bloomberg Technology.

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<v Speaker 3>Coming up.

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<v Speaker 5>We are gotning the full earnings coverage for you. We

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<v Speaker 5>hear from the CEO of Ribbon on the ev makers

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<v Speaker 5>earnings and push ahead to all important Disney results after

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<v Speaker 5>the Bell not to mention a whole host of other

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<v Speaker 5>tech names.

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<v Speaker 4>Plus as we speak, we Work appears in bankruptcy court

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<v Speaker 4>to kick off a month's long debate about how creditors

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<v Speaker 4>should divide the remains of a once high flying company.

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<v Speaker 4>Details ahead and shares of take too attractive.

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<v Speaker 5>They are surging today after the company confirm reports it's

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<v Speaker 5>planning to release details on its hotly un This is

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<v Speaker 5>abated Grand, theft, Auto six, all that and so much

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<v Speaker 5>more coming up.

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<v Speaker 3>The story for me.

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<v Speaker 4>Is about Bob Eiger's turnaround. Right, all of those cuts,

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<v Speaker 4>the cost savings, thinking about reducing the content spend, Well,

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<v Speaker 4>that's how he's going to be judged by on the

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<v Speaker 4>bottom line after market. I think that's where we look

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<v Speaker 4>in a few hours time CARECT.

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<v Speaker 5>Yeah, return to growth, that's what people want to see,

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<v Speaker 5>whether it be on indeed Disney's subscriber growth on Disney Plus,

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<v Speaker 5>but also whether really you can see a turn around

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<v Speaker 5>in the overall numbers. Let's get to it with Chris

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<v Speaker 5>Palm Mary or Bloomberg and are we expecting a bounce

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<v Speaker 5>back to growth?

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<v Speaker 6>Yeah.

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<v Speaker 1>I mean, at least in terms of Wall Street expectations,

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<v Speaker 1>it's going to be a bump in sales, it's going

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<v Speaker 1>to be a higher profit a bottom line. They're expected

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<v Speaker 1>to show lower losses in the streaming business. So yeah,

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<v Speaker 1>all those things that you mentioned, the cost cutting, it

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<v Speaker 1>appears to be paying.

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<v Speaker 4>So I think this is going to be a really

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<v Speaker 4>big earnings Chris pal Mary, you lead our coverage of

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<v Speaker 4>the entertainment industry. Do you go into this thinking about

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<v Speaker 4>Disney is a tech company streaming subscribe as content or

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<v Speaker 4>do you wake up on earnings morning and think theme parks,

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<v Speaker 4>merchandise and traditional TV.

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<v Speaker 1>I always think of Disney Board as a conservative products company.

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<v Speaker 1>This has been a really choppy week in terms of

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<v Speaker 1>entertainment earnings. We saw Paramount Scott jumped last week when

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<v Speaker 1>they reported some better results. Today Warner Brothers dives and

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<v Speaker 1>again some numbers there in the Warner Brothers supports are

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<v Speaker 1>not bad. They show to profit in streaming in the

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<v Speaker 1>most recent quarter, which Disney and Paramount have not are

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<v Speaker 1>unlikely to.

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<v Speaker 6>So you never know what to expect.

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<v Speaker 1>It's been a really difficult market for advertising on the

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<v Speaker 1>traditional TV networks. That's something Disney is very much exposed to.

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<v Speaker 1>And the big questions always surround Disney and what is

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<v Speaker 1>Bob Iyer going to say on the call about divestitures

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<v Speaker 1>of ABC buying Bhulu, you know, other potential deals.

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<v Speaker 6>It's it's always, you know, something to.

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<v Speaker 5>Watch because this is actually where we get the first

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<v Speaker 5>well sports TV part of the business stripped out actually

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<v Speaker 5>showing us what the numbers really look like. When it

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<v Speaker 5>comes to ESPN, how much do you think he'll actually

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<v Speaker 5>answer questions about what he sells, what he buys.

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<v Speaker 6>I certainly hope you get to ask a lot.

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<v Speaker 1>I mean, ESPN is one of the ones they said

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<v Speaker 1>they're looking for a strategic partner.

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<v Speaker 6>We've reported they've talked.

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<v Speaker 1>To everyone tech companies, the sports leagues, it's not really

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<v Speaker 1>clear to a lot of people what Disney gets out

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<v Speaker 1>of the you know, bringing in another investor to ESPN.

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<v Speaker 6>Hearst Corporation owns twenty percent of it. You know.

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<v Speaker 1>One of the takeaways from the numbers they started reporting

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<v Speaker 1>on the sports business is that although it's profitable, you know,

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<v Speaker 1>it's it has really high content costs those NFL rights,

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<v Speaker 1>and that's something that's likely to come into play in

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<v Speaker 1>this quarter, as they reported as well. So getting that

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<v Speaker 1>picture of ESPN and where it goes from here, it's

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<v Speaker 1>going to be.

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<v Speaker 4>Important, all right, bloom best Chris paum Mary, you are

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<v Speaker 4>the editor in charge of our entertainment coverage. Is a

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<v Speaker 4>busy day for you on the West coast. Thank you

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<v Speaker 4>very much. Look a name that I've been watching, Caro

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<v Speaker 4>is Rivian, as you know, has changed my desk for earnings.

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<v Speaker 4>Shares really popped last night again in pre market because

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<v Speaker 4>of two pieces of news. Updated guidance they'll build more

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<v Speaker 4>evs and expected but also Amazon has freed them from

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<v Speaker 4>their exclusivity on vans. They can go and sell vans

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<v Speaker 4>to others, and I'd heard from sources they were well

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<v Speaker 4>underway with that, so I asked the CEO R J. Scarrange,

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<v Speaker 4>have a listen.

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<v Speaker 7>It's not as if we woke up yesterday and we

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<v Speaker 7>signed the exclusivity that changed the exclusivity agreement with Amazon.

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<v Speaker 7>It was a long, long process and through that process

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<v Speaker 7>we're able to use that time to build a pipeline

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<v Speaker 7>of other customers and diverse customers.

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<v Speaker 8>We're not yet announcing any.

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<v Speaker 7>Of those deals, but they'll start by large with pilot

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<v Speaker 7>deployments where we have sort of skilled the skilled number

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<v Speaker 7>of vehicles that go out and test the systems, understand

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<v Speaker 7>how they fit within the network. But what you'll see

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<v Speaker 7>is it's very verse across everything from last mile to

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<v Speaker 7>retail to of course just more general purpose commercial applications

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<v Speaker 7>of vans.

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<v Speaker 4>You have an announcement but have not announced them, but

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<v Speaker 4>there are deals, deals that are done, and you have

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<v Speaker 4>visibility on new customers on eDV.

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<v Speaker 8>From this point on, what I'd say is we.

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<v Speaker 7>Have very high visibility on customers outside of Amazon, and

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<v Speaker 7>we are excited to talk about those, but we're not

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<v Speaker 7>yet talking about those other those other relationships and partnerships.

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<v Speaker 4>A j Rivian is still losing thirty one thousand dollars

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<v Speaker 4>on every ev that it makes when will you start

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<v Speaker 4>making money on them?

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<v Speaker 7>Yeah, this has been absolutely a core focus for us

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<v Speaker 7>as a business, and quarter of a quarter we've shown

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<v Speaker 7>significant progress. We certainly showed that as we went from

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<v Speaker 7>Q two to Q three and talked about those results

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<v Speaker 7>yesterday and these improvements that are driving us towards the

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<v Speaker 7>long term twenty five percent corossmark that we've talked about

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<v Speaker 7>extensively on our one.

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<v Speaker 8>You can almost think of it.

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<v Speaker 7>As a staircase. There's a whole host of changes that

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<v Speaker 7>are happening in our material costs. That's our bill of materials,

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<v Speaker 7>there's improvements in our plant. There's the fixed cost absorption

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<v Speaker 7>from running at higher of arms in the plant. And then,

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<v Speaker 7>as of course, there's the evolution of our average selling price,

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<v Speaker 7>which continues to trend upwards as we move into newer

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<v Speaker 7>orders and also launch things like our Max Pack, our

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<v Speaker 7>largest battery pack. But importantly, I do want to really

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<v Speaker 7>be clear here this staircase of steps.

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<v Speaker 8>The biggest step.

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<v Speaker 7>Amongst those is what will be putting in place in

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<v Speaker 7>the plant in the second quarter twenty twenty four, where

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<v Speaker 7>there's a consolidated set of changes that go into the

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<v Speaker 7>vehicle that dramatically reduced to bill of materials and also

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<v Speaker 7>allows to run the plant more efficiently. That's not to

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<v Speaker 7>say there's not improvements that are happening leading up to that,

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<v Speaker 7>but we had a similar shutdown that we did on

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<v Speaker 7>our commercial van early part of this year, and coming

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<v Speaker 7>out of that we had a thirty five percent reduction

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<v Speaker 7>in our material costs. So that's the scale of change

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<v Speaker 7>that we're going to be driving with the shutdown for

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<v Speaker 7>R one in the second quarter twenty twenty four.

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<v Speaker 8>And these are contractual.

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<v Speaker 7>These are contractual changes, meaning bill in materials changes. Are

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<v Speaker 7>not like us hoping suppliers are going to charge us

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<v Speaker 7>lest These are hard negotiations with suppliers contractually obligated, but.

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<v Speaker 8>There's effectivity dates that have to be achieved.

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<v Speaker 7>You know, they don't all apply immediately, they come in

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<v Speaker 7>over time.

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<v Speaker 8>Oh ja.

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<v Speaker 4>Our audience has one common question, very straightforward, when will

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<v Speaker 4>they see in R two prototype A prototype.

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<v Speaker 8>We absolutely can't wait to show it.

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<v Speaker 7>We're going to be showing the R two program in

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<v Speaker 7>the first quarter of this coming year, so early part

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<v Speaker 7>of next year. This is a absolutely vital program for

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<v Speaker 7>us as a business. It allows us to take our

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<v Speaker 7>brand and what we built as a company and put

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<v Speaker 7>into a smaller package, but importantly much more a priced vehicle.

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<v Speaker 7>But I've never been this excited about a product as

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<v Speaker 7>I am about R two. It is that exciting it

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<v Speaker 7>and I would say it's that good. We think it's

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<v Speaker 7>just exceptional.

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<v Speaker 4>But quickly, to be clear, you'll whip the canvas off

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<v Speaker 4>on stage or something in the first quarter of twenty

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<v Speaker 4>four on an R two prototype.

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<v Speaker 8>We're going to be showing it their other product next year. Yep,

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<v Speaker 8>that's right.

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<v Speaker 4>That's my interview with r J Scaring Ruvian CEO. Some

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<v Speaker 4>say doppelganger. Now coming up, I'm say, Caroline, says Steve O.

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<v Speaker 4>Coming up on the show. We're going to talk about

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<v Speaker 4>safeguards for artificial intelligence with the CEO of Credo AI,

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<v Speaker 4>who's in town to kick off the Responsible AI Summit,

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<v Speaker 4>which is in New York today. Carra, what you got?

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<v Speaker 5>I Meanwhile, look, there are a whole host of earnings

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<v Speaker 5>that are coming up, some of them relatively new to

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<v Speaker 5>publicly training life once again, arm Key among them. It's

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<v Speaker 5>actually down on the day, as of course, most of

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<v Speaker 5>the spectrum is in terms of tech arm off by

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<v Speaker 5>three percent. But look for their numbers after the bell

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<v Speaker 5>lift as well All Important after Uber managed to outperform

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<v Speaker 5>Instacart as well Key as It's down some four percent.

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<v Speaker 5>And of course, both of these recently listed companies have

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<v Speaker 5>been under pressure since going public. Or keep a close

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<v Speaker 5>eye on all of that From New York, both of

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<v Speaker 5>us today Listen Blue Meade Technology.

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<v Speaker 4>Some news in the social media space and an effort

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<v Speaker 4>to combat misinformation, Meta will soon require advertisers to disclose

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<v Speaker 4>when political or social issue ads have been created or

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<v Speaker 4>altered by artificial intelligence. The rules will go intoffect in

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<v Speaker 4>twenty twenty four and will require advertisers to disclose when

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<v Speaker 4>AI is used in Facebook or Instagram ads on social issues, elections,

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<v Speaker 4>or politics. This according to the company's vice president of

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<v Speaker 4>Global Affairs, Nick Klek.

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<v Speaker 5>And all of that is of course surrounding safeguards ways

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<v Speaker 5>in which you can identify artificial intelligence?

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<v Speaker 3>What about protection from AI?

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<v Speaker 5>More broadly, Today in New York, in the City Credo

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<v Speaker 5>AI will kick off it's Responsible AI Leadership Summit. Basically,

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<v Speaker 5>it brings together the industry pioneers who are kind of

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<v Speaker 5>leading the charge in the adoption of AI governance globally.

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<v Speaker 5>Please to welcome to the show. Credo AI CEO Nvna

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<v Speaker 5>Singh right here in New York with us. Wonderful to have.

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<v Speaker 3>You with us.

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<v Speaker 9>Thank you so much for having me so Ultimately, are.

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<v Speaker 5>The right people, the right voices, exerting their voices and

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<v Speaker 5>having changed is made at the moment because everyone's wildly

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<v Speaker 5>trying to adopt AI. Are they getting the governance and

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<v Speaker 5>the rules in place quickly enough?

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<v Speaker 9>What a great question, Carolyn.

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<v Speaker 10>You know, the past ten days, if there are any

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<v Speaker 10>signal of the urgency in adopting artificial intelligence. We've seen that,

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<v Speaker 10>you know, from the executive order from President Biden all

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<v Speaker 10>the way to the UKI summit, to a lot of

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<v Speaker 10>discussion around how do we now actually make this real?

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<v Speaker 9>And this is why.

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<v Speaker 10>We are here in New York today because we are

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<v Speaker 10>hosting Industries First Responsible, the premier event where we are

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<v Speaker 10>going to be bringing in partners customers from Amazon to

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<v Speaker 10>Microsoft to Google, Boozal and MasterCard and many others who

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<v Speaker 10>are already operationalizing a lot of those guardrails within their

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<v Speaker 10>organizations today. So I think we've moved beyond the talk

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<v Speaker 10>and now it's time for action. And we are already

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<v Speaker 10>seeing that within the enterprises.

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<v Speaker 4>That is a who's who list of participants. It might

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<v Speaker 4>seem like a sort of strange question, but are there

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<v Speaker 4>any stakeholders in the world of AI that declined your

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<v Speaker 4>invitation that you wish hey sit down with us and

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<v Speaker 4>talk because you're a big part of.

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<v Speaker 10>This Good news is no, everyone that we invited is

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<v Speaker 10>showing up. But as you can imagine that, there are

0:11:37.280 --> 0:11:41.480
<v Speaker 10>certain policymakers as well as startups and companies in Europe

0:11:41.760 --> 0:11:43.920
<v Speaker 10>that are heads down right now with the EUAI Act,

0:11:44.200 --> 0:11:45.920
<v Speaker 10>So they weren't able to join us in person, but

0:11:45.960 --> 0:11:47.240
<v Speaker 10>they are joining us virtually.

0:11:47.520 --> 0:11:51.840
<v Speaker 5>It's the frustration that well, ultimately laws aren't being made

0:11:51.920 --> 0:11:53.920
<v Speaker 5>quickly enough, because it does for everyone wants to say

0:11:53.920 --> 0:11:57.160
<v Speaker 5>this time it's different visa v crypto visav social media.

0:11:57.000 --> 0:11:59.480
<v Speaker 4>And it's a regional thing, right Europe versus US. What's

0:11:59.480 --> 0:12:00.800
<v Speaker 4>happening in and.

0:12:00.720 --> 0:12:02.680
<v Speaker 5>They do all seem to be coming together and talking

0:12:02.679 --> 0:12:04.800
<v Speaker 5>a lot about it, but ultimately it takes time to

0:12:04.840 --> 0:12:09.600
<v Speaker 5>make policy. Is self regulation, as some of our guests

0:12:09.640 --> 0:12:12.000
<v Speaker 5>have say, basically marking your own homework the way that

0:12:12.000 --> 0:12:13.400
<v Speaker 5>it has to be for the naytime.

0:12:14.040 --> 0:12:16.880
<v Speaker 10>You know, Carolyn, I think in the world of AI

0:12:17.000 --> 0:12:19.320
<v Speaker 10>and if you just think about what really powers this

0:12:19.480 --> 0:12:20.320
<v Speaker 10>entire ecosystem.

0:12:20.400 --> 0:12:20.960
<v Speaker 9>It's trust.

0:12:21.480 --> 0:12:26.320
<v Speaker 10>So certainly regulators and upcoming compliance needs are a driving force.

0:12:26.520 --> 0:12:29.760
<v Speaker 10>But right now what we are seeing is the reason organizations,

0:12:29.840 --> 0:12:34.240
<v Speaker 10>policy makers, different stakeholders scare about governance is because you

0:12:34.280 --> 0:12:37.640
<v Speaker 10>want to engender trust in this powerful technology which is

0:12:37.720 --> 0:12:38.760
<v Speaker 10>luckily shaping our lives.

0:12:38.760 --> 0:12:40.880
<v Speaker 9>Day in day out. So I think, if you step.

0:12:40.679 --> 0:12:43.640
<v Speaker 10>Back from the regulatory compliance today, how can we make

0:12:43.679 --> 0:12:47.080
<v Speaker 10>that trust happen. It is through transparency, it is through oversight,

0:12:47.320 --> 0:12:48.840
<v Speaker 10>and it is through actual guardrails.

0:12:49.120 --> 0:12:52.360
<v Speaker 4>On that transparency issue. You heard the story that we

0:12:52.760 --> 0:12:55.560
<v Speaker 4>covered on Meta right, if it's a political or social

0:12:55.559 --> 0:12:58.959
<v Speaker 4>issue add and it's been altered or created by AI,

0:12:59.559 --> 0:13:01.600
<v Speaker 4>then you're you have to disclose it As an advertiser.

0:13:02.120 --> 0:13:04.720
<v Speaker 4>Does that work? Is it a powerful tool to your mind?

0:13:05.440 --> 0:13:05.600
<v Speaker 3>You know?

0:13:05.679 --> 0:13:08.040
<v Speaker 10>I think it's a starting point. One of the things

0:13:08.040 --> 0:13:10.880
<v Speaker 10>that is really nerve racking for me as well as

0:13:10.920 --> 0:13:14.280
<v Speaker 10>a technologist is there's so much information out there and

0:13:14.320 --> 0:13:17.440
<v Speaker 10>we're already entering this phase where we don't know what's

0:13:17.440 --> 0:13:20.560
<v Speaker 10>made by human versus what's made by AI versus what's

0:13:20.559 --> 0:13:23.800
<v Speaker 10>made by human plus AI combination. So I think we

0:13:23.840 --> 0:13:27.840
<v Speaker 10>are entering this phase where need for you know, watermarking,

0:13:27.920 --> 0:13:31.480
<v Speaker 10>need for provenance, need for really understanding the entire lineage

0:13:31.720 --> 0:13:34.040
<v Speaker 10>is going to be critical and we are just at

0:13:34.040 --> 0:13:35.920
<v Speaker 10>the starting point. It's a very complex issue and a

0:13:35.920 --> 0:13:39.040
<v Speaker 10>lot of technological innovation but also policy innovation is needed.

0:13:39.800 --> 0:13:44.000
<v Speaker 5>Can you just walk us through how you at Creto

0:13:44.480 --> 0:13:48.160
<v Speaker 5>ultimately help a company get the right rails in place?

0:13:48.200 --> 0:13:50.000
<v Speaker 3>How have you thought about writing.

0:13:49.640 --> 0:13:52.240
<v Speaker 5>The war book ahead of anyone else, She's setting them

0:13:52.280 --> 0:13:53.520
<v Speaker 5>from a regular shap perspective.

0:13:53.840 --> 0:13:56.319
<v Speaker 10>Yeah, so I think this is where Creto AI our

0:13:56.360 --> 0:13:58.440
<v Speaker 10>mission has always been, how do you make sure AI

0:13:58.480 --> 0:14:01.560
<v Speaker 10>is in service of humanity? And instead of just us

0:14:01.600 --> 0:14:04.680
<v Speaker 10>creating our rules, we first what we did was build

0:14:04.840 --> 0:14:08.920
<v Speaker 10>very strong partnerships in the ecosystem with the regulators, policy makers,

0:14:08.920 --> 0:14:12.120
<v Speaker 10>standard setting bodies like nist IO and others. So our

0:14:12.160 --> 0:14:15.320
<v Speaker 10>first step was really bringing all that knowledge in but

0:14:15.480 --> 0:14:19.440
<v Speaker 10>operationalizing that through software, through technology, and as you can imagine,

0:14:19.440 --> 0:14:23.160
<v Speaker 10>most of our team is AI experts, risk experts. So

0:14:23.280 --> 0:14:26.720
<v Speaker 10>now we are bringing in best practices from CREDOAI to

0:14:26.800 --> 0:14:29.239
<v Speaker 10>really help transform Just a quick.

0:14:29.000 --> 0:14:30.320
<v Speaker 9>Example, today's a big day.

0:14:30.360 --> 0:14:34.120
<v Speaker 10>We are launching our trust reports and trust scorecards, because

0:14:34.160 --> 0:14:38.040
<v Speaker 10>if you've been following the Open AIS dev day, they've

0:14:38.080 --> 0:14:41.880
<v Speaker 10>introduced the marketplace. Now, how do you actually make sure

0:14:41.960 --> 0:14:44.200
<v Speaker 10>that all these new applications that are showing up in

0:14:44.240 --> 0:14:47.920
<v Speaker 10>this marketplace are actually trusted and are governed. And this

0:14:48.000 --> 0:14:51.040
<v Speaker 10>is where Cretois trust layer comes in. We've learned a

0:14:51.080 --> 0:14:53.440
<v Speaker 10>lot in the enterprise world that we are now bringing

0:14:53.440 --> 0:14:56.360
<v Speaker 10>to startups so that they can compete but also win.

0:14:56.400 --> 0:14:57.040
<v Speaker 9>In the stage of.

0:14:56.960 --> 0:15:00.640
<v Speaker 4>AI Verrina saying Creato Aic, it's good to be here

0:15:00.640 --> 0:15:04.440
<v Speaker 4>in person with you, sony conversation we've had remotely keep

0:15:04.480 --> 0:15:14.240
<v Speaker 4>in touch on what actually happens in your summit. Okay,

0:15:14.240 --> 0:15:16.760
<v Speaker 4>time for talking tech and use out just before the show.

0:15:16.840 --> 0:15:19.680
<v Speaker 4>AI startup and Fropic will be one of the first

0:15:19.680 --> 0:15:24.000
<v Speaker 4>companies to use new chips from Google, deepening their partnership

0:15:24.040 --> 0:15:27.280
<v Speaker 4>after a recent three billion dollar cloud computing agreement. And

0:15:27.360 --> 0:15:30.520
<v Speaker 4>Thropic will deploy the chips to help power its large

0:15:30.560 --> 0:15:33.920
<v Speaker 4>language model clause. Remember they also have a deal with

0:15:34.040 --> 0:15:39.000
<v Speaker 4>AWS and Amazon speaking of is offering Prime subscribers discounted

0:15:39.040 --> 0:15:41.600
<v Speaker 4>one medical memberships. The new deal will cut a one

0:15:41.640 --> 0:15:44.840
<v Speaker 4>medical membership by one hundred dollars to ninety nine dollars

0:15:44.840 --> 0:15:49.080
<v Speaker 4>a year. One Medical is a centerpiece of Amazon's healthcare operation,

0:15:49.200 --> 0:15:53.040
<v Speaker 4>and Microsoft is offering US politicians and campaign groups at

0:15:53.040 --> 0:15:56.160
<v Speaker 4>all aim to help fight the rise of deep fakes

0:15:56.360 --> 0:15:59.240
<v Speaker 4>ahead of the twenty twenty four presidential election. The new

0:15:59.240 --> 0:16:02.359
<v Speaker 4>tool will allow parties to authenticate their videos and photos

0:16:02.480 --> 0:16:06.920
<v Speaker 4>who are so called watermark credentials using cryptography car.

0:16:07.480 --> 0:16:10.240
<v Speaker 5>Meanwhile, ed we move away well from the future of

0:16:10.280 --> 0:16:12.080
<v Speaker 5>AI to what's happening in the here and now, the

0:16:12.120 --> 0:16:14.920
<v Speaker 5>downfall of we work. It's making its first bankruptcy court

0:16:14.920 --> 0:16:18.680
<v Speaker 5>appearance today seeking to advance that restructuring proposal that could

0:16:18.680 --> 0:16:21.560
<v Speaker 5>cut three billion dollars in debt and actually shrink the company's.

0:16:21.280 --> 0:16:22.200
<v Speaker 3>Real estate footprint.

0:16:22.480 --> 0:16:25.320
<v Speaker 5>Then once really high flying real estate business far from

0:16:25.320 --> 0:16:29.400
<v Speaker 5>bankruptcy just two years after going public and springing Bloomberg's

0:16:29.400 --> 0:16:32.120
<v Speaker 5>Ellen Hewitt, who was there for the highs, who were

0:16:32.160 --> 0:16:35.920
<v Speaker 5>there for the crash, and ultimately we see the repercussions

0:16:35.960 --> 0:16:39.960
<v Speaker 5>for those left holding what is the assets thus far, Ellen,

0:16:41.200 --> 0:16:44.760
<v Speaker 5>who's really being implicated by this bankruptcy filing?

0:16:46.000 --> 0:16:47.840
<v Speaker 11>Well, the people who are really being affected, I mean,

0:16:47.880 --> 0:16:52.720
<v Speaker 11>it seems like reputationally Starffink is really being hurt by this.

0:16:53.200 --> 0:16:55.840
<v Speaker 11>You know, they've obviously poured billions of dollars into this

0:16:55.920 --> 0:16:59.720
<v Speaker 11>company over the years, and now it's almost like a

0:16:59.720 --> 0:17:02.520
<v Speaker 11>crown jewel of their bad calls. Right, it's going to

0:17:02.560 --> 0:17:05.400
<v Speaker 11>be the one that people always refer to and say like, wow,

0:17:05.440 --> 0:17:08.560
<v Speaker 11>that was really not a good bet. And I think

0:17:08.760 --> 0:17:11.080
<v Speaker 11>although there's a future for We Work, you know, depending

0:17:11.119 --> 0:17:15.280
<v Speaker 11>on how this bankruptcy process goes, I think reputationally, it's

0:17:15.320 --> 0:17:18.480
<v Speaker 11>been really hard for SoftBank and for a Masochi son.

0:17:18.760 --> 0:17:22.080
<v Speaker 4>You have chronicled every step basically of we Work. You

0:17:22.080 --> 0:17:25.199
<v Speaker 4>have a peace out, look back at the ten defining moments.

0:17:25.200 --> 0:17:27.320
<v Speaker 4>We don't have time for all ten. But what are

0:17:27.320 --> 0:17:28.960
<v Speaker 4>the kind of top twos your mind?

0:17:29.640 --> 0:17:33.720
<v Speaker 11>Well, people forget how fun We Work was in the

0:17:34.080 --> 0:17:36.720
<v Speaker 11>sort of the period between like twenty fourteen and twenty nineteen.

0:17:36.800 --> 0:17:41.000
<v Speaker 11>I mean it was first this extremely energetic, raw, raw,

0:17:41.240 --> 0:17:44.120
<v Speaker 11>super fun company that was really trying to make work fun.

0:17:44.200 --> 0:17:46.679
<v Speaker 11>So if you can picture it, you know, going to

0:17:46.840 --> 0:17:50.199
<v Speaker 11>summer camp, which was their big annual blowout both for

0:17:50.280 --> 0:17:52.240
<v Speaker 11>all their employees as well as a bunch of members.

0:17:52.440 --> 0:17:54.960
<v Speaker 11>They would come gather for a weekend in these like

0:17:55.000 --> 0:17:59.000
<v Speaker 11>beautiful settings in nature and have basically a music festival.

0:17:59.680 --> 0:18:02.920
<v Speaker 11>There were speakers like Deepak Chopra, there were headlining musical acts,

0:18:02.960 --> 0:18:05.840
<v Speaker 11>there was alcohol everywhere. And if you talk to people

0:18:05.880 --> 0:18:07.440
<v Speaker 11>who used to work at Weework, they were like, yeah,

0:18:08.040 --> 0:18:11.160
<v Speaker 11>that was really fun, and it's imagine going to Coachella,

0:18:11.200 --> 0:18:13.159
<v Speaker 11>but it's thrown by your boss. It's like one of

0:18:13.160 --> 0:18:16.240
<v Speaker 11>these weird things that I think captures the thing that

0:18:16.280 --> 0:18:18.520
<v Speaker 11>we Work was trying to do, which was blur the

0:18:18.560 --> 0:18:21.640
<v Speaker 11>lines between work and your personal life.

0:18:21.960 --> 0:18:26.240
<v Speaker 5>What's interesting is Masioshi's son sort of almost took on

0:18:27.160 --> 0:18:30.919
<v Speaker 5>sort of some of the blame over Adam himself Newman,

0:18:31.080 --> 0:18:34.399
<v Speaker 5>sort of realizing them perhaps by thrusting so much money,

0:18:34.440 --> 0:18:38.040
<v Speaker 5>so much disire for him to go out build be ambitious,

0:18:38.440 --> 0:18:41.440
<v Speaker 5>it pushed Adam too far. Do you think that has

0:18:41.560 --> 0:18:43.840
<v Speaker 5>credence to it?

0:18:43.480 --> 0:18:44.720
<v Speaker 3>I think it does.

0:18:44.800 --> 0:18:46.840
<v Speaker 11>I mean, in some ways, one way to look at

0:18:46.880 --> 0:18:50.360
<v Speaker 11>Adam is that he's someone who was very good, intentionally

0:18:50.480 --> 0:18:53.720
<v Speaker 11>or not, at taking advantage of the venture capital financial

0:18:53.760 --> 0:18:57.000
<v Speaker 11>ecosystem of the mid to late twenty tens. Like he

0:18:57.119 --> 0:19:00.160
<v Speaker 11>realized that there were people out there like Masa who

0:19:00.160 --> 0:19:02.879
<v Speaker 11>were willing to write enormous checks for people who were

0:19:02.920 --> 0:19:05.399
<v Speaker 11>willing to put so much energy into growing a company

0:19:05.440 --> 0:19:07.960
<v Speaker 11>as fast as Adam was able to grow. We work

0:19:08.320 --> 0:19:11.240
<v Speaker 11>so you end up with someone who you know already

0:19:11.320 --> 0:19:14.240
<v Speaker 11>had the tendencies to want to go big and go crazy,

0:19:14.280 --> 0:19:16.720
<v Speaker 11>and then there's someone like Masa who really came along

0:19:16.720 --> 0:19:20.200
<v Speaker 11>and enabled that with enormous amounts of money. It does

0:19:20.240 --> 0:19:22.919
<v Speaker 11>seem like both of them, you know, they're not certainly

0:19:22.920 --> 0:19:26.240
<v Speaker 11>they'll have futures in business. Adam's future and business certainly

0:19:26.280 --> 0:19:28.720
<v Speaker 11>seems quite strong. He's been able to raise hundreds of

0:19:28.760 --> 0:19:32.840
<v Speaker 11>millions of dollars for his new ventures and his reputation.

0:19:33.160 --> 0:19:35.119
<v Speaker 11>Of course, this will always be part of his story,

0:19:35.160 --> 0:19:37.879
<v Speaker 11>but I think he's emerged pretty unscathed.

0:19:38.359 --> 0:19:40.840
<v Speaker 4>Bloomberg, Zell, and hut all over. We work for years.

0:19:40.880 --> 0:19:44.360
<v Speaker 4>Today's day one of bankruptcy court. More to come. Thank

0:19:44.400 --> 0:19:44.920
<v Speaker 4>you so much.

0:19:51.960 --> 0:19:54.200
<v Speaker 3>Welcome back to Blue Meg Technology. I'm Caroline Hyde.

0:19:54.040 --> 0:19:55.680
<v Speaker 4>And I Med Ludlow, and it's time for a quick

0:19:55.760 --> 0:19:59.640
<v Speaker 4>check on markets in Team Technology. I've got some devastating

0:19:59.720 --> 0:20:02.880
<v Speaker 4>new After eight straight days of gains on the Nasdaq

0:20:02.960 --> 0:20:05.720
<v Speaker 4>one hundred, the longest streak of gains going back to

0:20:05.800 --> 0:20:09.240
<v Speaker 4>November twenty twenty one. As it stands, the Nasdaq one

0:20:09.320 --> 0:20:11.920
<v Speaker 4>hundred in this session is down by a few tens

0:20:11.920 --> 0:20:14.400
<v Speaker 4>of one percent. The hot streak is over. But what's

0:20:14.400 --> 0:20:16.159
<v Speaker 4>so astonishing, Caroline? This week, while I've been in New

0:20:16.240 --> 0:20:17.800
<v Speaker 4>York with you, we talked about how much of the

0:20:17.880 --> 0:20:21.159
<v Speaker 4>heavy lifting the megacaps have done in the context of earnings.

0:20:21.280 --> 0:20:24.480
<v Speaker 4>Some upside their Nvidia still to report, but some of

0:20:24.480 --> 0:20:27.440
<v Speaker 4>the higher multiple software names they've been in the red.

0:20:27.480 --> 0:20:30.000
<v Speaker 4>And we've seen this situation where the vast majority of

0:20:30.080 --> 0:20:32.240
<v Speaker 4>names in the Nasdaq one hundred have been in the

0:20:32.280 --> 0:20:35.399
<v Speaker 4>red in any given session, while few of the megacaps

0:20:35.480 --> 0:20:38.600
<v Speaker 4>keep the index overall buoyant. The focus, of course, is

0:20:38.640 --> 0:20:41.359
<v Speaker 4>switching to the macrod is switching to the geopolitics and

0:20:41.400 --> 0:20:43.760
<v Speaker 4>what the Fed will or won't do at the start

0:20:43.800 --> 0:20:47.280
<v Speaker 4>of twenty twenty four. But watch this screen going towards

0:20:47.320 --> 0:20:49.600
<v Speaker 4>the end of the session. Will we snap eight days

0:20:49.600 --> 0:20:51.440
<v Speaker 4>of gains or will we get a ninth day? I'm

0:20:51.440 --> 0:20:53.520
<v Speaker 4>ever the optimist you always are.

0:20:53.600 --> 0:20:55.160
<v Speaker 5>You have to be in the world attach quite often.

0:20:55.160 --> 0:20:57.560
<v Speaker 5>But meanwhile, will someone's got reason to be optimistic? The

0:20:57.600 --> 0:21:01.320
<v Speaker 5>IT infrastructure provider Kindrel celebrated second anniversary. If it's spin

0:21:01.400 --> 0:21:04.600
<v Speaker 5>out from IBM, Better than expected financial results. Lik shares

0:21:04.640 --> 0:21:06.320
<v Speaker 5>have actually been popping at one point, up as much

0:21:06.359 --> 0:21:08.040
<v Speaker 5>as fifteen percent, biggest in to.

0:21:08.080 --> 0:21:09.200
<v Speaker 3>Day rise since August.

0:21:09.440 --> 0:21:11.520
<v Speaker 5>The company boosted its earnings outlook for the full year

0:21:11.600 --> 0:21:14.600
<v Speaker 5>post a second quarter revenue and adjusted EBIT DAH ahead

0:21:14.720 --> 0:21:18.320
<v Speaker 5>of street consensus. Kendrol CEO Martin Schroeder is with us

0:21:18.760 --> 0:21:21.000
<v Speaker 5>just down in midtown Manhattan. It's good to have some

0:21:21.040 --> 0:21:24.040
<v Speaker 5>time with you, Martin. And look, this is a turnaround story.

0:21:24.240 --> 0:21:26.840
<v Speaker 5>You seem to be doing it quicker than expected. Revenue

0:21:26.880 --> 0:21:29.359
<v Speaker 5>is still falling. You anticipate that you could get that

0:21:29.480 --> 0:21:32.320
<v Speaker 5>into positive territory, maybe by what next year.

0:21:33.560 --> 0:21:37.240
<v Speaker 12>We do thank you for the opportunity. Look, we've said

0:21:37.359 --> 0:21:39.919
<v Speaker 12>already for two years now that we will get this

0:21:40.040 --> 0:21:43.920
<v Speaker 12>business to grow again in calendar twenty five, and now

0:21:43.960 --> 0:21:46.560
<v Speaker 12>two years into the journey, we feel better about that

0:21:46.720 --> 0:21:49.840
<v Speaker 12>than ever before. This year and a little bit next

0:21:49.920 --> 0:21:52.440
<v Speaker 12>year as well, is going for us to be continued

0:21:52.480 --> 0:21:57.679
<v Speaker 12>focus on engineering, if you will, decline around things that

0:21:57.800 --> 0:22:00.280
<v Speaker 12>just don't make sense for our business, and we see

0:22:00.359 --> 0:22:03.680
<v Speaker 12>the benefit of that in the profit progress that we've

0:22:03.720 --> 0:22:06.520
<v Speaker 12>made now. At the same time, we are seeing growth

0:22:06.560 --> 0:22:09.639
<v Speaker 12>and strong revenue growth in areas that we want to

0:22:09.760 --> 0:22:12.560
<v Speaker 12>continue and we expect to continue over the long haul.

0:22:12.640 --> 0:22:17.119
<v Speaker 12>So our Kindrell consult business is growing quite well. Elements

0:22:17.320 --> 0:22:22.440
<v Speaker 12>elements of our business where we are aligned with our customers,

0:22:22.560 --> 0:22:25.919
<v Speaker 12>long term secular trends around investing in data in AI

0:22:26.440 --> 0:22:29.160
<v Speaker 12>and hybrid cloud and et cetera, et cetera, they're all

0:22:29.200 --> 0:22:30.600
<v Speaker 12>showing great, great growth.

0:22:30.640 --> 0:22:33.440
<v Speaker 6>So we're in a position as we said.

0:22:33.280 --> 0:22:36.560
<v Speaker 12>We would be, where we're engineering declines in part of

0:22:36.560 --> 0:22:39.600
<v Speaker 12>our business which just didn't make sense for us, and

0:22:39.680 --> 0:22:42.680
<v Speaker 12>on all the while building businesses. So we get back

0:22:42.720 --> 0:22:45.960
<v Speaker 12>to long term sustainable growth in calendar twenty five.

0:22:46.240 --> 0:22:51.480
<v Speaker 5>When I think about tech infrastructure, when I think about data, AI, security,

0:22:52.080 --> 0:22:55.879
<v Speaker 5>they sound pretty necessary. Ultimately, there are any macro headwinds

0:22:55.880 --> 0:22:58.399
<v Speaker 5>that affect you and the growth that you're currently seeing

0:22:58.480 --> 0:23:00.359
<v Speaker 5>or no, Yeah.

0:23:00.240 --> 0:23:01.199
<v Speaker 6>It's a great question.

0:23:01.280 --> 0:23:03.399
<v Speaker 12>Look that the nature of what we do is running

0:23:03.440 --> 0:23:07.800
<v Speaker 12>the mission critical infrastructure of the companies that run the world,

0:23:07.840 --> 0:23:12.159
<v Speaker 12>the banking systems, the airline systems, the telecom systems, the

0:23:12.200 --> 0:23:16.200
<v Speaker 12>supply chains, and so in that nature of that work

0:23:16.320 --> 0:23:20.080
<v Speaker 12>is that regardless of the macro environment, you need to

0:23:20.119 --> 0:23:23.639
<v Speaker 12>run your infrastructure. And fortunately, as you would expect from

0:23:23.800 --> 0:23:28.000
<v Speaker 12>the world's largest infrastructure services provider. We're also helping our

0:23:28.040 --> 0:23:32.440
<v Speaker 12>customers not only make sure they are infrastructure stays secure,

0:23:32.600 --> 0:23:36.920
<v Speaker 12>stays resilient, but we're also helping them position themselves for

0:23:37.040 --> 0:23:40.320
<v Speaker 12>those long term secular trends that they want to continue

0:23:40.320 --> 0:23:43.199
<v Speaker 12>to invest in, regardless of the macro environment, so that

0:23:43.240 --> 0:23:46.600
<v Speaker 12>they're ready for what comes next. So we spend a

0:23:46.600 --> 0:23:48.879
<v Speaker 12>lot of time with our customers helping them. For instance,

0:23:48.960 --> 0:23:51.000
<v Speaker 12>with AI, we spend a lot of time with our

0:23:51.040 --> 0:23:54.800
<v Speaker 12>customers getting the data architectures right so they can take

0:23:54.840 --> 0:23:58.640
<v Speaker 12>advantage of that innovation. And obviously we spend a lot

0:23:58.640 --> 0:24:00.720
<v Speaker 12>of time with our customers helping them move on to

0:24:00.880 --> 0:24:03.640
<v Speaker 12>clouds to take advantage of the innovation they see there

0:24:03.680 --> 0:24:07.000
<v Speaker 12>to run their businesses. So while while the nature of

0:24:07.040 --> 0:24:11.480
<v Speaker 12>the work remains sort of resilient, if you will, to

0:24:11.600 --> 0:24:16.800
<v Speaker 12>the macro, because we're not really we're not really a

0:24:16.960 --> 0:24:19.000
<v Speaker 12>something that you decide if you need or you don't

0:24:19.000 --> 0:24:22.119
<v Speaker 12>need you have to have an infrastructure, the nature of

0:24:22.160 --> 0:24:25.879
<v Speaker 12>what the work we do also helps them position themselves

0:24:25.920 --> 0:24:29.159
<v Speaker 12>for the future. We're just not a discretionary item, and

0:24:29.480 --> 0:24:31.680
<v Speaker 12>the nature of the work we do is not discretionary

0:24:31.720 --> 0:24:32.640
<v Speaker 12>for their future.

0:24:32.359 --> 0:24:34.840
<v Speaker 4>Either the nature of the work you do and those

0:24:34.960 --> 0:24:37.080
<v Speaker 4>doing it. What put Kindre on the map for me

0:24:37.080 --> 0:24:39.119
<v Speaker 4>at the beginning of the year, Martin, was that you

0:24:39.840 --> 0:24:42.560
<v Speaker 4>confirm to our own brody Ford you would cut a

0:24:42.600 --> 0:24:45.920
<v Speaker 4>small amount of headcount, but that in tern put on

0:24:45.960 --> 0:24:48.359
<v Speaker 4>the map that you had ninety thousand.

0:24:47.920 --> 0:24:49.000
<v Speaker 8>People working for you.

0:24:50.040 --> 0:24:53.880
<v Speaker 4>How has the progress of those reductions been and why

0:24:53.920 --> 0:24:56.679
<v Speaker 4>do you need ninety thousand stuff? That's a lot of people.

0:24:57.520 --> 0:24:59.320
<v Speaker 12>Yeah, yeah, it just look it is a lot. But

0:24:59.359 --> 0:25:02.840
<v Speaker 12>we're big. We're a big company. We're the largest infrastructure

0:25:02.880 --> 0:25:06.840
<v Speaker 12>services provider, and our customers rely on us again to

0:25:06.920 --> 0:25:10.000
<v Speaker 12>run their most important mission critical what I would call

0:25:10.040 --> 0:25:12.600
<v Speaker 12>hearts and lungs. Now out of the ninety which is

0:25:12.640 --> 0:25:15.560
<v Speaker 12>the number we were spun out with, about that number

0:25:15.640 --> 0:25:18.840
<v Speaker 12>spun out of IBM, so we you know, you don't

0:25:18.840 --> 0:25:21.240
<v Speaker 12>get to pack your own suitcase on this journey.

0:25:21.280 --> 0:25:22.480
<v Speaker 6>So that was what we had.

0:25:22.800 --> 0:25:26.080
<v Speaker 12>Now out of that, you know, roughly ninety about two

0:25:26.119 --> 0:25:29.520
<v Speaker 12>thirds of those people are delivering every day to customers.

0:25:29.560 --> 0:25:31.800
<v Speaker 12>And that's what's so important to customers that they have

0:25:31.920 --> 0:25:35.119
<v Speaker 12>the people that they trust delivering every day. And so

0:25:35.440 --> 0:25:37.280
<v Speaker 12>we spend a lot of time making sure that our

0:25:37.320 --> 0:25:40.800
<v Speaker 12>customers and the teams they trust have the right skills,

0:25:40.840 --> 0:25:43.560
<v Speaker 12>they're in the right place, and they're delivering every day

0:25:43.960 --> 0:25:47.760
<v Speaker 12>we have Earlier this year as we came out of IBM,

0:25:48.440 --> 0:25:50.720
<v Speaker 12>as we hit our one year anniversary, we were able

0:25:50.760 --> 0:25:54.399
<v Speaker 12>to start to simplify some of the processes we inherited,

0:25:54.760 --> 0:25:57.560
<v Speaker 12>and we took a big step last weekend, which was

0:25:57.680 --> 0:26:00.720
<v Speaker 12>actually the two year anniversary date, took a big step

0:26:00.800 --> 0:26:04.800
<v Speaker 12>by moving off of now all of the transition service

0:26:04.840 --> 0:26:07.560
<v Speaker 12>agreements that IBM created for us, so we are now

0:26:07.600 --> 0:26:12.240
<v Speaker 12>on an all cloud platforms. We've reduced the application count

0:26:12.760 --> 0:26:15.600
<v Speaker 12>from what we inherited, which was over eighteen hundred to

0:26:15.720 --> 0:26:19.439
<v Speaker 12>now in the dozens and that allows us now to

0:26:19.520 --> 0:26:23.119
<v Speaker 12>rethink how the processes that we inherited, how can they

0:26:23.240 --> 0:26:26.959
<v Speaker 12>really be changed and transformed.

0:26:26.320 --> 0:26:28.000
<v Speaker 8>To support a services business.

0:26:28.000 --> 0:26:33.680
<v Speaker 12>So for us, while we were delta hand, we've been

0:26:33.720 --> 0:26:38.639
<v Speaker 12>able to use AI automate workloads so that we're not

0:26:38.920 --> 0:26:43.000
<v Speaker 12>as needful to go out and build skills with external hires.

0:26:43.000 --> 0:26:45.040
<v Speaker 12>We can use the people we free up and put

0:26:45.040 --> 0:26:48.480
<v Speaker 12>them into the more important, quite frankly, more valuable work

0:26:48.480 --> 0:26:51.480
<v Speaker 12>that we're doing now, and we now have an opportunity

0:26:51.520 --> 0:26:54.119
<v Speaker 12>as we get through as we are now through the TSA's,

0:26:54.119 --> 0:26:57.120
<v Speaker 12>we have an opportunity to really think how we run

0:26:57.160 --> 0:26:59.479
<v Speaker 12>the business and how do we build how do we

0:26:59.520 --> 0:27:03.280
<v Speaker 12>build fit for purpose processes for the kind of services

0:27:03.280 --> 0:27:06.600
<v Speaker 12>business we run as opposed to the more product orated

0:27:06.680 --> 0:27:07.880
<v Speaker 12>business that we came from.

0:27:08.080 --> 0:27:10.639
<v Speaker 4>Martin Shares up eleven percent, on track for their biggest

0:27:10.680 --> 0:27:12.840
<v Speaker 4>jump since August. A big part of that is the

0:27:12.880 --> 0:27:15.320
<v Speaker 4>AI story. As you outlined, you know, in the cloud space,

0:27:15.359 --> 0:27:18.679
<v Speaker 4>there's evidence that companies being small kind of dialed it

0:27:18.720 --> 0:27:21.639
<v Speaker 4>back in some areas and reallocated spend for compute on

0:27:21.680 --> 0:27:24.600
<v Speaker 4>the AI side. Does that show up in infrastructure as well?

0:27:26.240 --> 0:27:29.000
<v Speaker 12>The work that we do and we're helping our customers

0:27:29.040 --> 0:27:34.720
<v Speaker 12>with is really getting their infrastructure ready to undertake first

0:27:34.840 --> 0:27:37.360
<v Speaker 12>the science projects that they want to try. And I'll

0:27:37.359 --> 0:27:40.160
<v Speaker 12>call it generative you know what they call generative AI now.

0:27:40.440 --> 0:27:43.439
<v Speaker 12>But we've been working with customers for quite a while

0:27:43.880 --> 0:27:46.840
<v Speaker 12>on helping them implement machine learning and all the things

0:27:46.840 --> 0:27:49.480
<v Speaker 12>that we use to run our business because they take

0:27:49.520 --> 0:27:53.680
<v Speaker 12>advantage our customers take advantage of our AI today by

0:27:53.960 --> 0:27:58.760
<v Speaker 12>helping them stay at the high end of world class

0:27:58.800 --> 0:28:01.000
<v Speaker 12>based on all the technology you say of implemented and

0:28:01.040 --> 0:28:03.320
<v Speaker 12>we automate all of that for them so that they

0:28:03.359 --> 0:28:09.680
<v Speaker 12>have the best in class implementations of Microsoft and all

0:28:09.680 --> 0:28:12.600
<v Speaker 12>the other all the other technologies that they're using. So

0:28:12.640 --> 0:28:15.280
<v Speaker 12>they've been relying on us to give them insights about

0:28:15.280 --> 0:28:18.280
<v Speaker 12>their infrastructure and now that now that they see we

0:28:18.359 --> 0:28:22.000
<v Speaker 12>are kind of customtomer zero if you will, for AI

0:28:22.119 --> 0:28:24.520
<v Speaker 12>and for the use of machine learning. We're also helping

0:28:24.560 --> 0:28:27.920
<v Speaker 12>them now with our partners, get ready to implement their

0:28:27.960 --> 0:28:31.000
<v Speaker 12>own machine learning, getting ready to implement generative AI and

0:28:31.080 --> 0:28:33.520
<v Speaker 12>all the work that you need again with our workloads,

0:28:33.560 --> 0:28:35.879
<v Speaker 12>all the work you need to do around data architecture

0:28:35.880 --> 0:28:37.320
<v Speaker 12>and security and resiliency.

0:28:37.400 --> 0:28:40.360
<v Speaker 4>Yes, kendro Ceo Martin Schroezer in the market buying that

0:28:40.440 --> 0:28:42.480
<v Speaker 4>with shares on track for the bigges jump since August,

0:28:42.560 --> 0:28:44.960
<v Speaker 4>Thank you so much. Now, coming up on Boomboy technology,

0:28:44.960 --> 0:28:47.880
<v Speaker 4>we'll talk more about AI, but particularly investing in AI

0:28:48.000 --> 0:28:51.200
<v Speaker 4>with Sequoia a capital partner, Constantine Buer that's coming out,

0:28:51.280 --> 0:28:51.920
<v Speaker 4>carc well.

0:28:51.800 --> 0:28:54.480
<v Speaker 5>I'SOK another company where shares are popping. If you're looking

0:28:54.480 --> 0:28:57.400
<v Speaker 5>in the ADRs of ady And and Dutch Payments company,

0:28:57.400 --> 0:29:00.240
<v Speaker 5>which is absolutely battered in August when it came with

0:29:00.280 --> 0:29:03.000
<v Speaker 5>its numbers that just twenty two percent growth wasn't going

0:29:03.080 --> 0:29:03.920
<v Speaker 5>to be cunning anymore.

0:29:03.960 --> 0:29:05.120
<v Speaker 3>The competition, the worry.

0:29:05.360 --> 0:29:07.800
<v Speaker 5>They needed to convince investors to buy in Today as

0:29:07.840 --> 0:29:09.800
<v Speaker 5>their investor Day, they seem to be doing that. Shares

0:29:09.880 --> 0:29:12.840
<v Speaker 5>rocketing some thirty one percent looks still half of where

0:29:12.840 --> 0:29:15.280
<v Speaker 5>they traded back in August, but they are showing that

0:29:15.320 --> 0:29:17.240
<v Speaker 5>there's going to be aiming for low twenties to high

0:29:17.280 --> 0:29:20.680
<v Speaker 5>twenties percentage annual revenue growth up to twenty twenty six,

0:29:20.840 --> 0:29:24.160
<v Speaker 5>improving ebidal margin to levels above fifty percent in that

0:29:24.240 --> 0:29:24.640
<v Speaker 5>year too.

0:29:24.840 --> 0:29:32.920
<v Speaker 3>This is a room met technology.

0:29:41.360 --> 0:29:44.120
<v Speaker 5>Time now for our VC roundup first up, Hillhouse chairman

0:29:44.280 --> 0:29:47.080
<v Speaker 5>Zanglie said that the next few years could produce quote

0:29:47.200 --> 0:29:49.720
<v Speaker 5>the best vintages for private equity in Asia and that

0:29:49.800 --> 0:29:52.719
<v Speaker 5>corporate management teams are maturing in the region now. Hillhouse

0:29:52.800 --> 0:29:55.640
<v Speaker 5>is known for investing in traditional companies which use technology

0:29:55.680 --> 0:30:00.000
<v Speaker 5>to improve business efficiency. Meanwhile, Coso Management has marked down

0:30:00.240 --> 0:30:03.320
<v Speaker 5>it's stake in Opense by ninety percent. It's implying the

0:30:03.320 --> 0:30:05.240
<v Speaker 5>company is now valued at one point four billion or

0:30:05.320 --> 0:30:08.160
<v Speaker 5>less on paper. According to the information that's signing a document,

0:30:08.320 --> 0:30:10.000
<v Speaker 5>coach you slashed the value of its one hundred and

0:30:10.040 --> 0:30:13.480
<v Speaker 5>twenty million steak in the NFT marketplace just thirteen million

0:30:13.720 --> 0:30:15.280
<v Speaker 5>as of the second quarter of this year.

0:30:15.880 --> 0:30:16.840
<v Speaker 3>I mean, while Cheryl.

0:30:16.680 --> 0:30:20.320
<v Speaker 5>Sandberg is back when she's backing women's health tech startup Circle,

0:30:20.640 --> 0:30:23.520
<v Speaker 5>one of the first investments in the former Meta COO

0:30:23.560 --> 0:30:26.320
<v Speaker 5>is making through her new venture capital fund. Circle is

0:30:26.320 --> 0:30:29.680
<v Speaker 5>a San Francisco based startup using AI to analyze biomedical

0:30:29.680 --> 0:30:33.800
<v Speaker 5>and genomics data with the goal of improving women's healthcare.

0:30:34.280 --> 0:30:34.360
<v Speaker 8>ED.

0:30:34.680 --> 0:30:36.680
<v Speaker 4>All right, let's stick in the world adventure today's VC

0:30:36.800 --> 0:30:40.120
<v Speaker 4>spotlight and bring in Sequoia capital partner Constantine Buler.

0:30:40.200 --> 0:30:41.600
<v Speaker 3>And it's a good.

0:30:41.400 --> 0:30:43.920
<v Speaker 4>Time to catch up, right, Caroline. And I think of

0:30:43.920 --> 0:30:48.920
<v Speaker 4>Sequoia as this juggernaut of capital deployment, venture back deals

0:30:49.120 --> 0:30:51.400
<v Speaker 4>and with you we think about AI. And I know

0:30:51.440 --> 0:30:54.120
<v Speaker 4>you've actually been very busy since last we spoke. What

0:30:54.200 --> 0:30:56.640
<v Speaker 4>have you been writing checks for? Absolutely?

0:30:56.960 --> 0:30:57.040
<v Speaker 1>Ed?

0:30:57.120 --> 0:31:00.000
<v Speaker 13>Caroline, thanks so much for having me back on. It's

0:31:00.080 --> 0:31:02.880
<v Speaker 13>wonderful to be here. So last time we caught up,

0:31:03.280 --> 0:31:06.200
<v Speaker 13>you asked the question, how is Sequoia going to lean

0:31:06.200 --> 0:31:09.000
<v Speaker 13>into this moment of investing? Because Sequoya has been in

0:31:09.000 --> 0:31:11.800
<v Speaker 13>the AI space for decades, now, But there's this amazing

0:31:11.840 --> 0:31:16.360
<v Speaker 13>inflection in the generative AI revolution, and I'm very excited

0:31:16.400 --> 0:31:20.560
<v Speaker 13>to share that we've leaned in by backing excellent founders

0:31:20.880 --> 0:31:24.760
<v Speaker 13>that are solving real customer problems. So this year alone,

0:31:24.800 --> 0:31:29.560
<v Speaker 13>we've made twenty investments in the AI space. That's about

0:31:29.800 --> 0:31:33.720
<v Speaker 13>sixty percent of our early stage net new investment.

0:31:33.760 --> 0:31:35.720
<v Speaker 4>Well, real quick, how does that differ from what you

0:31:35.760 --> 0:31:38.160
<v Speaker 4>did last ya for example? How is that a rampop

0:31:38.200 --> 0:31:40.200
<v Speaker 4>inactivity in investing in AI?

0:31:40.720 --> 0:31:43.640
<v Speaker 13>It's even more than last year. We've always had a

0:31:43.640 --> 0:31:46.800
<v Speaker 13>focus on AI, back to nineteen ninety three with Nvidio,

0:31:46.920 --> 0:31:50.120
<v Speaker 13>which is one of these absolute cornerstones of the entire

0:31:50.280 --> 0:31:53.200
<v Speaker 13>AI field. We've always had an eye on AI, but

0:31:53.440 --> 0:31:56.440
<v Speaker 13>there's been this exciting inflection point with generative AI that's

0:31:56.480 --> 0:31:58.920
<v Speaker 13>allowed us to lean into even more companies in twenty

0:31:58.960 --> 0:32:03.400
<v Speaker 13>twenty three, and this has allowed us to actually see

0:32:03.720 --> 0:32:07.160
<v Speaker 13>users leaning into these products and using them actively. So

0:32:07.200 --> 0:32:11.960
<v Speaker 13>now we're seeing lawyers leveraging AI and our product Harvey

0:32:12.200 --> 0:32:16.600
<v Speaker 13>in order to generate contracts. We see teams using dust

0:32:17.120 --> 0:32:20.800
<v Speaker 13>in order to make personal assistance that automate mundane tasks,

0:32:21.160 --> 0:32:24.840
<v Speaker 13>and we see developers using hugging face to implement open

0:32:24.840 --> 0:32:28.680
<v Speaker 13>source into hundreds thousands of projects. Overall, it feels like

0:32:28.720 --> 0:32:31.400
<v Speaker 13>AI has landed and we've moved out of hype and

0:32:31.480 --> 0:32:32.120
<v Speaker 13>into reality.

0:32:33.560 --> 0:32:35.480
<v Speaker 5>Well, was any of the valuations of which you were

0:32:35.480 --> 0:32:37.680
<v Speaker 5>writing the checks feeling a little hype?

0:32:39.360 --> 0:32:42.520
<v Speaker 13>No doubt, valuations can be very high in the AI space.

0:32:42.920 --> 0:32:45.320
<v Speaker 13>We've tried to stick with fundamentals, and one of the

0:32:45.360 --> 0:32:48.000
<v Speaker 13>things that we've found really helpful is a lot of

0:32:48.040 --> 0:32:51.360
<v Speaker 13>AI builders, especially the ones we work with, appreciate the

0:32:51.360 --> 0:32:54.280
<v Speaker 13>fact that building an AI company is building a company.

0:32:54.920 --> 0:32:56.680
<v Speaker 13>So they look to Sequoia and they look at the

0:32:56.720 --> 0:33:00.480
<v Speaker 13>track record and they realize a Sequoia backed company is

0:33:00.640 --> 0:33:04.120
<v Speaker 13>four times more likely to go from seed to Series

0:33:04.160 --> 0:33:07.200
<v Speaker 13>A than if it weren't backed by Sequoia, it's twice

0:33:07.200 --> 0:33:09.120
<v Speaker 13>as likely to go from A to Series B.

0:33:09.600 --> 0:33:10.360
<v Speaker 6>Why do I say this?

0:33:10.840 --> 0:33:13.400
<v Speaker 13>The point is that an AI company is a company,

0:33:13.840 --> 0:33:16.240
<v Speaker 13>and so the fundamentals of company building that we've learned

0:33:16.240 --> 0:33:19.280
<v Speaker 13>over the past many decades with AI companies and Internet

0:33:19.320 --> 0:33:23.200
<v Speaker 13>companies and cloud companies and mobile companies are translating very well.

0:33:23.480 --> 0:33:25.640
<v Speaker 13>And that's led to a lot of our founders realizing

0:33:25.640 --> 0:33:28.560
<v Speaker 13>the COO advantage and valuations that are much more reasonable

0:33:28.800 --> 0:33:31.320
<v Speaker 13>within the ones that there's an interesting triangle here. We

0:33:31.440 --> 0:33:35.840
<v Speaker 13>started the week with open AI's developers conference. You Sequoia,

0:33:36.200 --> 0:33:38.880
<v Speaker 13>we're an earlier investor in open ai, and a big

0:33:38.920 --> 0:33:41.120
<v Speaker 13>part of their pitch was kind of creates your economy.

0:33:41.280 --> 0:33:44.200
<v Speaker 13>In other words, they're going to start offering stuff that

0:33:44.280 --> 0:33:46.840
<v Speaker 13>will help others build an AI company. Is that your

0:33:46.880 --> 0:33:50.760
<v Speaker 13>assessment as well? Yes, So we've been investors in open

0:33:50.800 --> 0:33:53.560
<v Speaker 13>ai for a while. We invested back in twenty twenty one,

0:33:53.920 --> 0:33:57.720
<v Speaker 13>before this amazing movement really started to inflect. And what

0:33:57.760 --> 0:34:01.520
<v Speaker 13>they've done exceptionally well is leaning too the developer, per

0:34:01.560 --> 0:34:04.680
<v Speaker 13>your point ed, So they understand that the creator has

0:34:04.720 --> 0:34:07.720
<v Speaker 13>that power, and yes they can actually augment it with

0:34:07.760 --> 0:34:10.680
<v Speaker 13>this type of staff that you're describing, but they still

0:34:10.680 --> 0:34:12.560
<v Speaker 13>want to take that and put the power in the

0:34:12.600 --> 0:34:15.840
<v Speaker 13>hands of the creator, which is another decades long trend.

0:34:16.320 --> 0:34:19.399
<v Speaker 13>So we've always known the developer the creator has been key.

0:34:19.880 --> 0:34:23.800
<v Speaker 13>This harkens back to Stripe, which is the developer tools

0:34:23.800 --> 0:34:27.480
<v Speaker 13>company for payment a decade ago, Mango dB right here

0:34:27.520 --> 0:34:32.200
<v Speaker 13>in New York, developer Tools Company for databases, or even Unity,

0:34:32.200 --> 0:34:35.560
<v Speaker 13>the developer tools companies for game creation. One of the

0:34:35.600 --> 0:34:39.200
<v Speaker 13>things that open ai has nailed is focusing on the developer,

0:34:39.640 --> 0:34:42.799
<v Speaker 13>focusing on the creator and helping that creator, including with

0:34:42.840 --> 0:34:44.160
<v Speaker 13>these assistants and services.

0:34:44.360 --> 0:34:46.759
<v Speaker 5>I'm interested you mentioned us, for example, a way in

0:34:46.800 --> 0:34:49.920
<v Speaker 5>which we can all suddenly be augmented basically with our

0:34:49.960 --> 0:34:51.240
<v Speaker 5>own very helpful chatbot.

0:34:51.239 --> 0:34:53.320
<v Speaker 3>But how did GPTs.

0:34:52.680 --> 0:34:55.000
<v Speaker 5>That open eye is going to be suddenly making more

0:34:55.040 --> 0:34:57.640
<v Speaker 5>abundant Not just eat into that mote, how do you

0:34:57.680 --> 0:34:59.600
<v Speaker 5>decide which one to mac?

0:35:00.120 --> 0:35:03.440
<v Speaker 13>Yes, so GPTs are going to be I think a

0:35:03.480 --> 0:35:06.960
<v Speaker 13>wonderful addition to the ecosystem. And as I see it,

0:35:07.000 --> 0:35:09.200
<v Speaker 13>as we see it, the world is not going to

0:35:09.200 --> 0:35:11.560
<v Speaker 13>be a zero sum game in AI. All boats are

0:35:11.680 --> 0:35:13.920
<v Speaker 13>rising because of this amazing wave. You can do so

0:35:14.040 --> 0:35:15.520
<v Speaker 13>much more with so much less.

0:35:15.640 --> 0:35:17.560
<v Speaker 5>But not all value is going to accrue to set

0:35:17.960 --> 0:35:19.759
<v Speaker 5>to some of the ones that you've backed. I mean,

0:35:19.960 --> 0:35:21.920
<v Speaker 5>not all of these ones are going to survive the

0:35:21.920 --> 0:35:24.200
<v Speaker 5>competition coming from the Juggernauts.

0:35:23.840 --> 0:35:24.400
<v Speaker 8>No doubt.

0:35:24.600 --> 0:35:26.600
<v Speaker 13>And what we've learned time and again at Sequoia and

0:35:26.640 --> 0:35:30.680
<v Speaker 13>these technology innovations is that it's survival of the most nimble.

0:35:30.760 --> 0:35:33.640
<v Speaker 4>Well, the big concentrative open AI is that they can

0:35:33.719 --> 0:35:37.239
<v Speaker 4>stomach the mega compute costs, the talent costs, so they

0:35:37.320 --> 0:35:39.480
<v Speaker 4>end up being the strongest and any game in town.

0:35:39.680 --> 0:35:42.440
<v Speaker 4>Is that a fair argument. I don't think it's going

0:35:42.480 --> 0:35:45.000
<v Speaker 4>to play out that way. And first of all, we

0:35:45.040 --> 0:35:47.360
<v Speaker 4>love open air. We want them to succeed and continue

0:35:47.400 --> 0:35:51.719
<v Speaker 4>to perform. They've actually contributed a lot to the AI ecosystem.

0:35:51.960 --> 0:35:55.640
<v Speaker 4>But we're in the middle of a decade's long AI revolution.

0:35:55.760 --> 0:35:58.200
<v Speaker 13>This is a point in time. Let's think back to

0:35:58.239 --> 0:36:01.320
<v Speaker 13>the three things that make up AI. Its algorithms, of course,

0:36:01.320 --> 0:36:05.440
<v Speaker 13>written by people, it's compute, and its data. In the

0:36:05.440 --> 0:36:08.400
<v Speaker 13>early two thousands, we saw the first sparks and that

0:36:08.520 --> 0:36:11.280
<v Speaker 13>was in the form of predictive AI that powers everything

0:36:11.320 --> 0:36:16.399
<v Speaker 13>from your Facebook news feed to your Netflix recommendations. Then

0:36:16.719 --> 0:36:20.240
<v Speaker 13>more compute, more data. We had the perceptive AI revolution.

0:36:20.600 --> 0:36:23.919
<v Speaker 13>That's everything from computer vision to self driving cars, which

0:36:24.160 --> 0:36:27.440
<v Speaker 13>are now commercially available on the streets of San Francisco

0:36:27.560 --> 0:36:30.880
<v Speaker 13>and amazing. This wave, the generative AI wave, is just

0:36:31.360 --> 0:36:35.080
<v Speaker 13>more data, better algorithms, more compute, and we're going to

0:36:35.120 --> 0:36:37.640
<v Speaker 13>continue to go from here. It's going to be video,

0:36:38.040 --> 0:36:40.880
<v Speaker 13>it's going to be multimodal, which they're investing into as well,

0:36:41.080 --> 0:36:44.880
<v Speaker 13>and it's going to be AI controlling complex systems just

0:36:44.920 --> 0:36:47.720
<v Speaker 13>another point in time, and our job is to focus

0:36:47.760 --> 0:36:50.520
<v Speaker 13>on the underdog so that they can actually come in

0:36:50.600 --> 0:36:53.319
<v Speaker 13>and usher in the next wave of AI in what's

0:36:53.360 --> 0:36:55.160
<v Speaker 13>going to be many more decades of innovation.

0:36:55.680 --> 0:36:57.960
<v Speaker 5>Many would say, actually the worker is the underdog right now,

0:36:57.960 --> 0:36:59.799
<v Speaker 5>so we'll see how that has implications on the labor

0:36:59.840 --> 0:37:01.920
<v Speaker 5>for will have to get you back for another conversation

0:37:02.040 --> 0:37:05.319
<v Speaker 5>on that. SEQUEA Capital partner Constantine Muler always great to

0:37:05.320 --> 0:37:07.000
<v Speaker 5>have him right here in New York can discuss all

0:37:07.040 --> 0:37:13.399
<v Speaker 5>these things.

0:37:14.200 --> 0:37:14.480
<v Speaker 8>Okay.

0:37:14.480 --> 0:37:17.960
<v Speaker 4>After the runaway success of the animated Super Mario Bros. Film,

0:37:18.239 --> 0:37:21.840
<v Speaker 4>Nintendo is planning a live action movie based on the

0:37:21.960 --> 0:37:24.680
<v Speaker 4>legend of Zelda video game series. The company announces that

0:37:24.880 --> 0:37:27.760
<v Speaker 4>Too Analysts is planned to release one movie every year,

0:37:27.960 --> 0:37:30.640
<v Speaker 4>building on the success of Mario, which generated one point

0:37:30.680 --> 0:37:34.680
<v Speaker 4>thirty six billion dollars in global ticket sales. Nintendo said

0:37:34.760 --> 0:37:37.919
<v Speaker 4>it will produce the Selda picture with Arad Productions, which

0:37:37.960 --> 0:37:40.000
<v Speaker 4>has also worked in some of the Marvel film's cara.

0:37:41.120 --> 0:37:43.839
<v Speaker 5>Meanwhile, sticking with video games, said shares a take two

0:37:43.880 --> 0:37:47.080
<v Speaker 5>interactive surging today on news at the company look it's

0:37:47.080 --> 0:37:50.560
<v Speaker 5>gearing up to announce the Resa Grand Theft Auto six age.

0:37:50.800 --> 0:37:55.239
<v Speaker 5>I know that you're one interesting title exactly, completely a

0:37:55.320 --> 0:37:57.839
<v Speaker 5>wild title for them. But let's get to the water

0:37:57.920 --> 0:38:04.680
<v Speaker 5>behind the scoop. Bloomberg's Jason, Jason, we were anticipating. We're

0:38:04.719 --> 0:38:06.920
<v Speaker 5>excited for what's going to be released in December, the

0:38:06.960 --> 0:38:09.960
<v Speaker 5>teasers to come. How important is this for the world

0:38:10.000 --> 0:38:10.520
<v Speaker 5>of game land?

0:38:11.680 --> 0:38:12.760
<v Speaker 9>Yeah, it's you, muongus.

0:38:12.840 --> 0:38:15.480
<v Speaker 2>I think I don't even think people fathom just how

0:38:15.520 --> 0:38:18.399
<v Speaker 2>big a release this is going to be. The previous game,

0:38:18.440 --> 0:38:24.319
<v Speaker 2>GRANDT five has sold one hundred eighty five million copies, which,

0:38:24.440 --> 0:38:27.000
<v Speaker 2>just to put that in perspective, the entirety of the

0:38:27.040 --> 0:38:30.680
<v Speaker 2>Assassin's creat series from Ubisoft, the Umungas series that has

0:38:30.680 --> 0:38:33.640
<v Speaker 2>been a cornerstone of a major video game publisher, has

0:38:33.640 --> 0:38:37.000
<v Speaker 2>sold two hundred million copies. GTA five is sold once

0:38:37.000 --> 0:38:40.320
<v Speaker 2>again one hundred eighty five It is the second best

0:38:40.320 --> 0:38:43.400
<v Speaker 2>selling game of all time, second to only Minecraft. But

0:38:43.480 --> 0:38:46.120
<v Speaker 2>Minecraft has kind of an unfair advantage because it's on phones.

0:38:46.200 --> 0:38:49.640
<v Speaker 2>GTA is just on PC and consoles, so it's pretty

0:38:49.800 --> 0:38:50.600
<v Speaker 2>mind boggling.

0:38:51.000 --> 0:38:53.759
<v Speaker 4>When I think about GTA, I think about the fan base, right,

0:38:53.800 --> 0:38:56.839
<v Speaker 4>it's an intense global fan base. What can you tell

0:38:56.880 --> 0:39:00.400
<v Speaker 4>that fan base based on your reporting to expect from

0:39:00.600 --> 0:39:01.400
<v Speaker 4>GTA six.

0:39:02.400 --> 0:39:04.719
<v Speaker 2>Yeah, so we've been reporting a bloomberg on this game

0:39:04.760 --> 0:39:06.520
<v Speaker 2>for a little while. Now we know it is set

0:39:06.560 --> 0:39:09.680
<v Speaker 2>in a fictionalized version of Miami. We know it is

0:39:09.719 --> 0:39:13.600
<v Speaker 2>going to have two protagonists, one male and one female.

0:39:13.600 --> 0:39:15.319
<v Speaker 2>This is the first time in quite a long time

0:39:15.400 --> 0:39:18.279
<v Speaker 2>that Rockstar has had a female protagonist, so that I

0:39:18.280 --> 0:39:20.520
<v Speaker 2>think is going to be exciting. It'll offer a different

0:39:20.560 --> 0:39:26.000
<v Speaker 2>perspective than your average kind of male centric Rockstar game.

0:39:26.280 --> 0:39:28.840
<v Speaker 2>And yeah, it's really exciting. I mean, I'm very excited

0:39:29.000 --> 0:39:31.359
<v Speaker 2>to check it out. I'm also excited about the fact that,

0:39:31.640 --> 0:39:34.400
<v Speaker 2>as we've also reported, rock Star has really done a

0:39:34.440 --> 0:39:37.239
<v Speaker 2>lot of work and trying to improve their culture over

0:39:37.280 --> 0:39:40.120
<v Speaker 2>the last few years. They came under some controversy during

0:39:40.160 --> 0:39:43.320
<v Speaker 2>the release of their last game, Red Dead Redemption two

0:39:43.360 --> 0:39:45.960
<v Speaker 2>over their work life balance and the kind of tough

0:39:46.000 --> 0:39:48.480
<v Speaker 2>hours that they put their workers through, and it sounds

0:39:48.560 --> 0:39:50.520
<v Speaker 2>like from what I'm hearing inside the company, things have

0:39:50.640 --> 0:39:53.719
<v Speaker 2>really been getting better there, and we'll have to see

0:39:53.719 --> 0:39:56.560
<v Speaker 2>if that remains the case throughout the final year or

0:39:56.600 --> 0:39:58.680
<v Speaker 2>two of development on GTA six.

0:39:59.520 --> 0:40:02.680
<v Speaker 4>Jason just terrific reporting and Carrie. Twenty twenty three has

0:40:02.680 --> 0:40:05.640
<v Speaker 4>been a year about video games, video games and films.

0:40:05.719 --> 0:40:07.319
<v Speaker 3>Video games, What are you doing at the moment?

0:40:07.400 --> 0:40:09.359
<v Speaker 4>I'm playing right now Spider Man two. That's great.

0:40:09.719 --> 0:40:12.040
<v Speaker 5>Ah, we like it when he's a superhero. I meanwhile,

0:40:12.040 --> 0:40:14.160
<v Speaker 5>that does it. From this edition of Bloombag Technology.

0:40:13.920 --> 0:40:15.680
<v Speaker 4>Check out the pod wherever you get yours from New

0:40:15.760 --> 0:40:21.080
<v Speaker 4>York City. This is Bloomberg Technology.