WEBVTT - EU Greenlights Microsoft/Activision Deal

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<v Speaker 1>From Mahart where Innovation, Money and Power colle in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 2>I'm Caroline Heinde at Bluemog's world head quarters in New

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<v Speaker 2>York and Imed Lovelow in San Francisco.

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<v Speaker 3>This is Blueberg Technology coming up.

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<v Speaker 2>The EU gives Microsoft the green light for at sixty

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<v Speaker 2>nine billion dollar takeover of Activision Blizzard. We'll discuss what

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<v Speaker 2>this actually means for the gaming industry's biggest ever deal.

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<v Speaker 4>And we'll talk Twitter, as Linda Yacarino prepares to take

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<v Speaker 4>the helm at the social media company, how will her

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<v Speaker 4>experience help nuwer advertisers back to the platform.

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<v Speaker 2>Plus we'll talk all things artificial intelligence. We sit down

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<v Speaker 2>with the CEO C three AI as a result Beat

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<v Speaker 2>and we get the startup AI perspective from the venture

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<v Speaker 2>firm in Site Park. All that so much more coming up.

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<v Speaker 2>Before we go into the startups, Let's go into the

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<v Speaker 2>big caps. Let's go into what's happening in the public markets. Ed, interestingly,

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<v Speaker 2>I'm stealing your funder. Let's take it back to what's

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<v Speaker 2>actually more broadly my focus, which is the Nasdaq, which

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<v Speaker 2>is actually up about half a percentage point. It's outperforming

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<v Speaker 2>the rest of the industries. On the day, we're outperforming

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<v Speaker 2>the rest of the benchmarks, even though we're basically a

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<v Speaker 2>little bit cautious. Volumes are lower, we're worried about a

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<v Speaker 2>course the debt ceiling, we're worried about some of that

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<v Speaker 2>New York data that came in in terms of manufacturing

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<v Speaker 2>look lackluster, and basically we're a little bit more cautious

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<v Speaker 2>on our outlook. But we are seeing big tech being

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<v Speaker 2>brought just tentatively on those thinner volumes up five ten percent.

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<v Speaker 2>The tenure yield push is higher. As we hear from

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<v Speaker 2>some Fed speakers where afar our boss think being one

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<v Speaker 2>of them who sits down with might make here a

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<v Speaker 2>little bit later. But he's talking about look no, and

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<v Speaker 2>pushing him back against your viewpoint that we're going to

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<v Speaker 2>be cutting rates here in the US anytime soon. Interesting

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<v Speaker 2>moves over in Turkey, could we see political upheaval. In fact,

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<v Speaker 2>we have a down day overall for assets over there,

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<v Speaker 2>and the dollar strengthens versus the Turkish lira. Moving on,

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<v Speaker 2>let's look at what's happening in terms of crypto in

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<v Speaker 2>terms of Bitcoin, and actually as though it actually weekends

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<v Speaker 2>on the day, just a little bit ed. We are

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<v Speaker 2>seeing Bitcoin just getting a bit of a bid, but

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<v Speaker 2>we're still only at twenty seven thousand, so still not

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<v Speaker 2>managing to push through that thirty thousand dollars level, but

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<v Speaker 2>get into where I almost took of here a little

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<v Speaker 2>moment ago.

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<v Speaker 4>Yeah, we woke up to a quiet Monday right carry

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<v Speaker 4>this morning, worried about news, but we have had some

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<v Speaker 4>that's moving markets. Metha now up two point four percent,

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<v Speaker 4>lou Kappaso upgrading that stock from a hold to a buy.

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<v Speaker 4>We'll bring you those details later in the program, along

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<v Speaker 4>with C three AIP eighteen percent early release of results,

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<v Speaker 4>upgrading modestly it's full year forecast for sales. We're going

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<v Speaker 4>to speak to the CEO about what's really happening all

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<v Speaker 4>the investor interests around AI related names. Tesla actually now

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<v Speaker 4>flat melon. Musk has been in France where he met

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<v Speaker 4>with President mac quhan. But there was some feel good

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<v Speaker 4>in that sock. Of course, when we got details of

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<v Speaker 4>a new Twitter CEO on Friday, the idea being that

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<v Speaker 4>Elon Musk now will be more focused on Tesla less

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<v Speaker 4>distracted at Twitter, but we're giving back some of those games,

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<v Speaker 4>off by around a tenth percent, basically flat. The big

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<v Speaker 4>story this Monday is that the European Union, through the

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<v Speaker 4>European Commission, has proved Microsoft's deal to buy Activision Blizzard

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<v Speaker 4>for sixty nine billion dollars. We're going to get into

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<v Speaker 4>the details over the analysis and reasoning what it means

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<v Speaker 4>for the cloud gaming market.

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<v Speaker 3>In particular, we see the share reaction.

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<v Speaker 4>It was modest at first, rop a percentage point, highest

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<v Speaker 4>level in three weeks on Activision, more modest, up just

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<v Speaker 4>two tens percent on Microsoft separately, completely separately, Bloomberg reporting

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<v Speaker 4>that Microsoft's cloud unit, as You're is the subject of

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<v Speaker 4>scrutiny from a U antitrust regulators, according to sources. We'll

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<v Speaker 4>get those details later in the program. A lot now

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<v Speaker 4>going on.

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<v Speaker 2>They've been busy, haven't they, All this focus on competition

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<v Speaker 2>and pushing back against it.

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<v Speaker 5>Let's talk about it all.

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<v Speaker 2>We've got our senior litigation analyst of Bloomberg Intelligence, Jennifer Rye.

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<v Speaker 2>We've also got Anna London, our legal reporter Kavin Gummel.

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<v Speaker 2>Catherine starting with you wasn't a surprise to see the

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<v Speaker 2>EU sort of take a different stance from the UK.

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<v Speaker 5>Hi, there m nor so, this wasn't a surprise decision.

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<v Speaker 6>We were intcipating that the European Commission would accept this

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<v Speaker 6>deal with behavioral remedy. These behavioral remedies include those too

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<v Speaker 6>late rivals have access to the games for our owns

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<v Speaker 6>ten years, and the Commission said that with these conditions

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<v Speaker 6>that will allow the deal to be pro competitive.

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<v Speaker 4>Jen, I'm going to come to you at Bloomberg Intelligence.

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<v Speaker 4>In the analysis published by the European Commission, Jen, they

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<v Speaker 4>say that actually this is going to be pro growth,

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<v Speaker 4>pro market. How is their analysis so different to that

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<v Speaker 4>of the UK CMA.

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<v Speaker 3>Are they just reading two different sets of data?

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<v Speaker 7>You know, it's really just about a different prediction as

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<v Speaker 7>to what's going to happen with cloud gaming in the future.

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<v Speaker 7>And you know, I think it just shows how difficult

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<v Speaker 7>these merger decisions can be when they're involving tech and

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<v Speaker 7>when they're involving future markets, because it's really they're looking

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<v Speaker 7>at a crystal ball and they're speculating about what can happen,

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<v Speaker 7>and reasonable minds can differ. The European Commission views Microsoft's

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<v Speaker 7>move to guarantee that these these games Call of Duty

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<v Speaker 7>and World of Warcraft that it would be acquiring from

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<v Speaker 7>Activision would be on these other cloud services also in

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<v Speaker 7>other cloud subscriptions, and that's not the way things are today.

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<v Speaker 8>Those games aren't available.

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<v Speaker 7>So the European Commission is looking at this as output

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<v Speaker 7>expanding or pro competitive, whereas the UK is saying, no,

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<v Speaker 7>you know, we think Microsoft today has too much power

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<v Speaker 7>in the cloud and by having these great games, this

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<v Speaker 7>must have content for some gamers. In the future, they'll

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<v Speaker 7>be able to push out these other cloud gaming services

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<v Speaker 7>and these other competitors, and we're trying to prevent that.

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<v Speaker 7>We're trying to prevent Microsoft from being dominant in this

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<v Speaker 7>market in the future.

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<v Speaker 8>So they just sort of saw what was going to

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<v Speaker 8>happen in the future.

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<v Speaker 4>Differently, Catherine, we knew this was coming at least the

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<v Speaker 4>timing of the decision. Now through the twenty second we

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<v Speaker 4>got it. Bloomberg sources had said that the EU would

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<v Speaker 4>rule in favor of the deal. So what happens now?

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<v Speaker 4>What is the process that we're tracking at Bloomberg News.

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<v Speaker 6>Yes, so that's to say has given a glimmer of

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<v Speaker 6>hope to Microsoft, but it's not going to change things massively.

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<v Speaker 6>Microsoft already faced massive challenges in the US with the

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<v Speaker 6>FTC having blocked to sue, and in the UK the

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<v Speaker 6>Microsoft will have to lodge its appeal at the Competitional

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<v Speaker 6>Peel Tribunal by the end of the month, and that

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<v Speaker 6>will be really difficult because the CAT is a judicial

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<v Speaker 6>review process, so you know, they'll just look at the

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<v Speaker 6>legality of the CMA's decision rather than really assessing the

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<v Speaker 6>merits of that choice.

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<v Speaker 2>And what is interesting, Jen is that, well, we just

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<v Speaker 2>heard it from Catherine, a glimmer of hope coming, but

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<v Speaker 2>realistically this is an uphill battle, even though we do

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<v Speaker 2>see a share price reaction for activision Brizard, Ultimately, from

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<v Speaker 2>your analysis, it feels like you don't think the tune

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<v Speaker 2>is being changed here and what sort of timeline do

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<v Speaker 2>you think this deal ultimately unwinding.

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<v Speaker 5>You know, in your perspectivities.

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<v Speaker 7>See this changing things very much, because at the end

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<v Speaker 7>of the day, there is a very high standard to

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<v Speaker 7>overturn a CMA decision. I actually did a little research

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<v Speaker 7>and I looked at merger decisions by the CMA that

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<v Speaker 7>had actually been reversed or sent back to the CMA

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<v Speaker 7>on appeal, and it was about thirty percent, so that's

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<v Speaker 7>a low percentage, so it's a high standard.

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<v Speaker 8>It's going to be difficult, and.

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<v Speaker 7>The European Commission's decision is separate and based on the

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<v Speaker 7>separate analysis and maybe even different market conditions. So I

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<v Speaker 7>don't really think it factors in much, and it doesn't

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<v Speaker 7>change the fact that Microsoft has this very high, difficult

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<v Speaker 7>standard to meet to overturn that decision.

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<v Speaker 8>And then timing. You mentioned timing.

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<v Speaker 7>I think that's so important here because even if Microsoft

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<v Speaker 7>is successful, let's say.

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<v Speaker 8>On appeal to in the UK, and even with their.

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<v Speaker 7>Lawsuit that's coming up in August in the US against

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<v Speaker 7>the Federal Trade Commission, you're looking at a very very

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<v Speaker 7>long time period before there could be an actual ultimate

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<v Speaker 7>final outcome. Because the CMA, let's say, the appeal tribunal

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<v Speaker 7>doesn't like the decision or thinks the facts need to

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<v Speaker 7>be reevaluated, I'll send it back to the CMA to'll

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<v Speaker 7>look at it again. And in the US, even if

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<v Speaker 7>the administrative large judge that will be hearing this trial

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<v Speaker 7>rules for Microsoft, the FEC can appeal and the appeal

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<v Speaker 7>will go back to the Commissioners the very three commissioners

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<v Speaker 7>that voted to sue to begin with, So there's a

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<v Speaker 7>good chance that would be reversed. At which point Microsoft

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<v Speaker 7>an Activision could appeal to a federal report. But we're

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<v Speaker 7>talking way into the end of twenty twenty four here,

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<v Speaker 7>so a long time frame if they really want to

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<v Speaker 7>have success.

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<v Speaker 4>Jen Catherine Bobby Kotik, the CEO of Activision, is sent

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<v Speaker 4>through an emailed statement to us and he says that

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<v Speaker 4>the EC conducted an extremely thorough, deliberate process. But the

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<v Speaker 4>bit that jumps out at me is although they required

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<v Speaker 4>stringent remedies, and I think that's a reference to the

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<v Speaker 4>ten year of access, ten years of access to cloud

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<v Speaker 4>platforms on call of duty. Catherine, remind us, when they

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<v Speaker 4>go back to the CMA and make this appeal in

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<v Speaker 4>the UK, they're not necessarily appealing the decision in and

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<v Speaker 4>of itself. They're appealing how that decision was made. They're

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<v Speaker 4>appealing the process. Remind us, what has to happen.

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<v Speaker 6>Yes, exactly that, so what the cat They don't look

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<v Speaker 6>at the medus of this decision, They just look at

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<v Speaker 6>it in a judicial review process, and which would will

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<v Speaker 6>be the legality of the decisions, so you know, they

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<v Speaker 6>can look at things whether the CME was irrational or

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<v Speaker 6>you know, if there was any procedural procedural errors there

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<v Speaker 6>that they might have got wrong. I mean, I think

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<v Speaker 6>it's also important to understand with this process that if

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<v Speaker 6>the CAT does find that there are any errors made,

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<v Speaker 6>that the CAT will then actually refer that back to

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<v Speaker 6>the CME itself. So that is another hurdle for Microsoft

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<v Speaker 6>that it will need to pass.

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<v Speaker 4>Yes, we should point out that the UKCMA did come

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<v Speaker 4>out with a response this morning saying they stand by

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<v Speaker 4>their original decision, so we'll wait and see what happens.

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<v Speaker 4>Bloombergs Cafferinemol and Jennifer Ree of Bloomberg Intelligence, thank you

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<v Speaker 4>very much. Sticking with Microsoft and antitrust, we've mentioned it

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<v Speaker 4>that earlier Microsoft's Azure cloud business has been targeted by

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<v Speaker 4>the European Union's Anti Trust Arm and MID concerns the

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<v Speaker 4>US software firm is leveraging its market power to squeeze

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<v Speaker 4>out rivals as part of an informal probe. Regulators are

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<v Speaker 4>quizzing competitors and customers about how Microsoft may be using

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<v Speaker 4>its access to business sensitive information belonging to cloud firms.

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<v Speaker 4>It has commercial dealings with that all. According to sources.

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<v Speaker 2>Carrot competition analysts, they're busy, So too is one Linda Yakarino.

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<v Speaker 2>We know that she's saying she's excited to transform Twitter ed.

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<v Speaker 2>We're going to be talking about what she brings to

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<v Speaker 2>the social media platform and more with three past studios

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<v Speaker 2>Stephen wolf Herrera joining the show. So Twitter's incoming CEO,

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<v Speaker 2>Linda Yakarina says she's excited to transform the company and

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<v Speaker 2>achieving La Musk's vision for the platform. In her first

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<v Speaker 2>few tweets since galning the job, Yacarina said, look, she's

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<v Speaker 2>committed to the development of the social media company and

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<v Speaker 2>said feedback from users is vital to that future. I

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<v Speaker 2>speak to someone who knows her impact, none of for

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<v Speaker 2>fifteen years. At least three past studios. Chief business Officer

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<v Speaker 2>Stephen wolf Perrera is in the studio with us. And

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<v Speaker 2>when you heard that this force that you've worked and

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<v Speaker 2>seen and interacted with for fifteen years is going to

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<v Speaker 2>be taking the helm, what did your immediately think?

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<v Speaker 9>I thought it was a brilliant move.

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<v Speaker 10>The platform needs a radical transformation. They need to have

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<v Speaker 10>credibility with the marketplace, with brands with consumers, and Linda

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<v Speaker 10>has a track record around innovation really putting consumers first.

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<v Speaker 10>So I think it was a brilliant move for a

0:11:33.400 --> 0:11:35.120
<v Speaker 10>platform that desperately needed to change.

0:11:35.400 --> 0:11:38.720
<v Speaker 2>And is it safety first? Is it innovation first? How

0:11:38.760 --> 0:11:41.200
<v Speaker 2>does she manage to square that circle of a CTO

0:11:41.240 --> 0:11:43.080
<v Speaker 2>who's going to want to be pushing ahead with innovation

0:11:43.160 --> 0:11:45.040
<v Speaker 2>and perhaps running fast and breaking things.

0:11:45.080 --> 0:11:47.839
<v Speaker 10>Look on the technology side, I mean, obviously elans a

0:11:47.920 --> 0:11:50.360
<v Speaker 10>visionary and he'll be able to certainly figure out the

0:11:50.400 --> 0:11:53.679
<v Speaker 10>path from Twitter to transform it to the super ad x.

0:11:54.440 --> 0:11:56.080
<v Speaker 10>But you need to stay biard as the business. I mean,

0:11:56.160 --> 0:12:00.040
<v Speaker 10>right now, it's been bleeding advertisers. No one wants to

0:12:00.080 --> 0:12:02.440
<v Speaker 10>be on the platform. There's been all this drama around it.

0:12:02.520 --> 0:12:04.960
<v Speaker 10>And Linda's a stabilizing force. I mean, she's spent over

0:12:05.240 --> 0:12:09.040
<v Speaker 10>ten years at NBC Universal really stabilizing that company, growing

0:12:09.040 --> 0:12:12.319
<v Speaker 10>it over thirteen billion dollars in sales, leading their upfront,

0:12:12.360 --> 0:12:15.240
<v Speaker 10>leading you know, kind of innovation with data with other

0:12:15.600 --> 0:12:18.320
<v Speaker 10>TV networks, really trying to bring the community together.

0:12:18.520 --> 0:12:19.880
<v Speaker 9>And she is a force to be reckoned with.

0:12:20.040 --> 0:12:21.960
<v Speaker 10>I mean, there's a reason why they have her nickname

0:12:22.000 --> 0:12:25.240
<v Speaker 10>being developed Hammer because she's able to negotiate with brands.

0:12:25.320 --> 0:12:28.679
<v Speaker 10>She's tough, she's fair, but or you know, number one

0:12:28.720 --> 0:12:30.280
<v Speaker 10>is really to bring brands back onto the.

0:12:30.280 --> 0:12:35.120
<v Speaker 2>Platform, and to do that alongside an executive chair, of course,

0:12:35.120 --> 0:12:36.720
<v Speaker 2>said and I mean you know a lot about the

0:12:36.720 --> 0:12:38.760
<v Speaker 2>people that worked alongside Elan over the years.

0:12:38.920 --> 0:12:39.520
<v Speaker 3>Yeah.

0:12:39.640 --> 0:12:42.000
<v Speaker 4>Yeah, it's interesting how it works. So at SpaceX you

0:12:42.000 --> 0:12:45.560
<v Speaker 4>have Gwynn Shotwell as the COO and president running things

0:12:45.640 --> 0:12:48.640
<v Speaker 4>day to day. At Tesla, particularly in recent courses, Zach

0:12:48.720 --> 0:12:51.600
<v Speaker 4>Kirk on the CFO is like more visible and other

0:12:51.679 --> 0:12:56.240
<v Speaker 4>executives like literally appearing on stage. So I guess, even

0:12:56.280 --> 0:12:58.680
<v Speaker 4>to your mind, how do you see that working. You know,

0:12:58.800 --> 0:13:02.160
<v Speaker 4>Linda who you know with Elon Musk day to day,

0:13:02.360 --> 0:13:04.960
<v Speaker 4>do you think that she can get him to see

0:13:05.000 --> 0:13:06.640
<v Speaker 4>reason or compromise.

0:13:07.440 --> 0:13:07.840
<v Speaker 9>I think so.

0:13:08.080 --> 0:13:10.240
<v Speaker 10>I mean we saw a trial run of what their

0:13:10.280 --> 0:13:13.120
<v Speaker 10>relationship is going to look like about a month ago

0:13:13.720 --> 0:13:16.959
<v Speaker 10>in Miami there was the Possible Conference, a big marketing event,

0:13:17.600 --> 0:13:20.199
<v Speaker 10>and she was on stage doing a fireside chat interview

0:13:20.240 --> 0:13:22.680
<v Speaker 10>with Elon and she didn't pull any punches. I mean,

0:13:22.800 --> 0:13:25.240
<v Speaker 10>Linda's not a wallflower, right, I mean, she's very tough,

0:13:25.480 --> 0:13:29.200
<v Speaker 10>she knows her business. You know, she is a good

0:13:29.200 --> 0:13:31.800
<v Speaker 10>New Yorker, grew up in Long Island, you know, Italian heritage.

0:13:31.800 --> 0:13:33.120
<v Speaker 9>I mean, she's as tough as they come.

0:13:33.400 --> 0:13:35.720
<v Speaker 10>And she asked him the tough questions on stage, and

0:13:35.760 --> 0:13:37.559
<v Speaker 10>so you could see that she didn't shy away from

0:13:37.600 --> 0:13:40.880
<v Speaker 10>asking him about, Hey, why did Twitter cancel the client

0:13:40.920 --> 0:13:43.040
<v Speaker 10>council that they had? Are you going to bring that back?

0:13:43.200 --> 0:13:44.640
<v Speaker 10>Are you going to stop doing tweets at three in

0:13:44.720 --> 0:13:46.559
<v Speaker 10>the morning. You know that's not good for the platform.

0:13:46.840 --> 0:13:49.600
<v Speaker 10>So I feel that she knows this space, she knows

0:13:49.640 --> 0:13:52.600
<v Speaker 10>this industry, and she's beloved by brands and marketers and

0:13:52.640 --> 0:13:56.080
<v Speaker 10>media agencies. And so if he's smart, he'll really give

0:13:56.120 --> 0:13:58.360
<v Speaker 10>her the range. Let her be the CEO, let her

0:13:58.440 --> 0:14:01.160
<v Speaker 10>build this platform, and then bring all the innovation to

0:14:01.240 --> 0:14:04.000
<v Speaker 10>really help connect content, commerce and community.

0:14:05.040 --> 0:14:08.680
<v Speaker 4>We go back to it, how does she build this platform?

0:14:09.040 --> 0:14:13.440
<v Speaker 4>You know Elon sets out his ideas as CTO, many

0:14:13.520 --> 0:14:13.760
<v Speaker 4>of them.

0:14:13.760 --> 0:14:15.640
<v Speaker 3>We know about subscription based.

0:14:15.400 --> 0:14:21.240
<v Speaker 4>Service, algorithm, algorithmically addressing where things appear in the tie timeline.

0:14:21.600 --> 0:14:23.800
<v Speaker 4>Then what impacts Linda going to have when she comes in?

0:14:23.840 --> 0:14:26.160
<v Speaker 4>What ideas can she actually install?

0:14:26.280 --> 0:14:29.640
<v Speaker 10>Well, first, it's about leadership. I mean the company has

0:14:29.760 --> 0:14:32.640
<v Speaker 10>what lost so many employees. They've obviously let a ton

0:14:32.680 --> 0:14:34.440
<v Speaker 10>of people go. You know, they are a fraction of

0:14:34.440 --> 0:14:36.760
<v Speaker 10>what they were before. I feel like there has been

0:14:36.800 --> 0:14:39.480
<v Speaker 10>this crisis and confidence in Twitter, and here is a

0:14:39.560 --> 0:14:42.080
<v Speaker 10>real leader who's going to come in and stabilize the

0:14:42.120 --> 0:14:45.240
<v Speaker 10>business and bring back that confidence, bring back the trust

0:14:45.480 --> 0:14:48.600
<v Speaker 10>of not just the employees but also the advertising community.

0:14:48.760 --> 0:14:49.680
<v Speaker 9>And you have to start there.

0:14:49.720 --> 0:14:51.600
<v Speaker 10>I mean, at the end of the day, this has

0:14:51.640 --> 0:14:54.520
<v Speaker 10>to be about getting the basics right. And she knows

0:14:54.560 --> 0:14:57.320
<v Speaker 10>how to build a business. She is a leader, she

0:14:57.560 --> 0:15:00.840
<v Speaker 10>is inspiring. She will bring talent to the commpany. I mean,

0:15:00.880 --> 0:15:03.640
<v Speaker 10>she built a data business from scratch for NBCU. She

0:15:03.760 --> 0:15:07.200
<v Speaker 10>understands e commerce, she understands analytics, and so she had

0:15:07.240 --> 0:15:10.240
<v Speaker 10>that full span of control on the business side. Again,

0:15:10.360 --> 0:15:14.080
<v Speaker 10>you have incredible engineers and technologies over at Twitter, certainly

0:15:14.080 --> 0:15:16.080
<v Speaker 10>at the Helm with you on, but you know, having

0:15:16.160 --> 0:15:18.800
<v Speaker 10>her really lead the business side, that's what this company needs.

0:15:18.840 --> 0:15:21.280
<v Speaker 2>It's interesting, of course talking about the Data League, talking

0:15:21.280 --> 0:15:25.320
<v Speaker 2>about ultimately how you show brands that you're making impacts,

0:15:25.320 --> 0:15:27.880
<v Speaker 2>the right impact for them converting into sales.

0:15:28.240 --> 0:15:30.800
<v Speaker 5>But I'm also interested in the grander vision.

0:15:31.160 --> 0:15:33.400
<v Speaker 2>Many people had to quickly Google or search or chat

0:15:33.440 --> 0:15:34.360
<v Speaker 2>shipt who.

0:15:34.240 --> 0:15:35.440
<v Speaker 5>Linda Yacarino is.

0:15:36.200 --> 0:15:38.720
<v Speaker 2>But behind the scenes, she's really has had a very

0:15:38.760 --> 0:15:42.000
<v Speaker 2>powerful influence, had a very influential job. What vision do

0:15:42.000 --> 0:15:45.280
<v Speaker 2>you think she thinks Twitter ultimately is going to be

0:15:45.680 --> 0:15:47.720
<v Speaker 2>to make this a worth her wild kind of move.

0:15:47.880 --> 0:15:49.920
<v Speaker 10>Yeah, I mean, look, she was the chairwoman of NBC

0:15:50.040 --> 0:15:53.360
<v Speaker 10>Universal's ad sales business, right, she had a great job.

0:15:53.480 --> 0:15:55.640
<v Speaker 10>She was one of the most powerful people in media.

0:15:55.760 --> 0:15:57.840
<v Speaker 10>So for her to leave, it had to be something

0:15:57.880 --> 0:16:00.280
<v Speaker 10>really compelling. It had to be a bigger vision. And

0:16:00.320 --> 0:16:02.920
<v Speaker 10>I think Elance shared the vision for the super app

0:16:02.960 --> 0:16:05.440
<v Speaker 10>for x and I feel that she got really excited

0:16:05.440 --> 0:16:05.800
<v Speaker 10>about that.

0:16:05.880 --> 0:16:07.680
<v Speaker 9>And so again her ability.

0:16:07.280 --> 0:16:10.600
<v Speaker 10>To innovate, to bring consumers and brands along on this journey.

0:16:10.760 --> 0:16:13.280
<v Speaker 10>That's a very unique position to be. And she understands content.

0:16:13.560 --> 0:16:15.800
<v Speaker 10>She actually was a partner for Twitter for years. Think

0:16:15.840 --> 0:16:18.560
<v Speaker 10>about the Olympics and the Super Bowl and World Cup,

0:16:18.880 --> 0:16:22.680
<v Speaker 10>all those mega events that truly have global ramifications.

0:16:23.040 --> 0:16:24.680
<v Speaker 9>She was at the center of that.

0:16:24.960 --> 0:16:27.680
<v Speaker 10>So now to bring that lens around again, content, commerce

0:16:27.720 --> 0:16:30.640
<v Speaker 10>and community. Everyone is trying to connect that and as

0:16:30.720 --> 0:16:33.800
<v Speaker 10>one of the largest media brands on the planet, she

0:16:34.040 --> 0:16:36.840
<v Speaker 10>understood that an audience, whether it's eighteen to thirty four,

0:16:36.960 --> 0:16:39.520
<v Speaker 10>eighteen to forty nine, whatever advertisers are looking for, they

0:16:39.560 --> 0:16:42.400
<v Speaker 10>could find that audience anywhere. The reality means you have

0:16:42.440 --> 0:16:44.520
<v Speaker 10>to make a compelling to put those dollars on Twitter.

0:16:45.240 --> 0:16:47.760
<v Speaker 4>Yeah, we reported that there were others involved in that

0:16:47.800 --> 0:16:50.680
<v Speaker 4>relationship NBC in Twitter, and she was at a macro level.

0:16:50.680 --> 0:16:51.680
<v Speaker 3>But that's great insight.

0:16:51.760 --> 0:16:55.040
<v Speaker 4>Three Pass Studios Chief business Officer, Stephen Wolf Pereira, thank

0:16:55.080 --> 0:16:55.440
<v Speaker 4>you very.

0:16:55.480 --> 0:16:56.280
<v Speaker 9>Much, Thanks so much.

0:16:56.480 --> 0:16:59.560
<v Speaker 4>Now coming up, Miguel McKelvey joins to talk about his

0:16:59.640 --> 0:17:03.760
<v Speaker 4>recent which include his acquisition of clothing brand American Giant

0:17:03.800 --> 0:17:06.959
<v Speaker 4>and a social network for senior aged users.

0:17:06.960 --> 0:17:08.480
<v Speaker 3>More on that. Next, this is Bloomberg.

0:17:19.000 --> 0:17:23.080
<v Speaker 4>In an effort to revitalize manufacturing in the US. Miguel McKelvey,

0:17:23.160 --> 0:17:26.679
<v Speaker 4>co founder of we Work, says he's buying clothing brand

0:17:26.960 --> 0:17:29.840
<v Speaker 4>American Giant. There's also plans to build a new social

0:17:29.880 --> 0:17:34.119
<v Speaker 4>network for users fifty five in older. Miguel McKelvey joins

0:17:34.160 --> 0:17:36.960
<v Speaker 4>us now for more on what's quite a few announcements.

0:17:37.320 --> 0:17:41.119
<v Speaker 4>I find manufacturing fascinating. Think about the world of technology

0:17:41.119 --> 0:17:44.439
<v Speaker 4>on this show we operate in and actually that's a

0:17:44.440 --> 0:17:47.040
<v Speaker 4>big part of the story, why do you want to

0:17:47.080 --> 0:17:49.880
<v Speaker 4>revitalize US manufacturing?

0:17:51.760 --> 0:17:53.760
<v Speaker 1>Well, it started for me with really, you know, the

0:17:53.840 --> 0:17:57.440
<v Speaker 1>same kind of response that I had to office workers

0:17:57.480 --> 0:18:01.000
<v Speaker 1>with we work, is that the environment that people are

0:18:01.040 --> 0:18:04.400
<v Speaker 1>working in just isn't great and isn't a nice.

0:18:04.240 --> 0:18:04.639
<v Speaker 3>Place to be.

0:18:04.800 --> 0:18:07.640
<v Speaker 1>Like sitting in a cubicle for ten hours a day

0:18:08.040 --> 0:18:11.920
<v Speaker 1>to me was seemed terrible. And similarly, I think that

0:18:12.040 --> 0:18:17.000
<v Speaker 1>the working environments where people make things have really been

0:18:17.920 --> 0:18:22.880
<v Speaker 1>brought down to the lowest possible, you know, from a design,

0:18:23.000 --> 0:18:26.359
<v Speaker 1>from an ergonomic, from just a human perspective, And it

0:18:26.440 --> 0:18:29.600
<v Speaker 1>makes sense because you know, you have to compete with

0:18:30.440 --> 0:18:33.119
<v Speaker 1>really low labor in other places in the world. But

0:18:33.200 --> 0:18:35.639
<v Speaker 1>I think in the US, for our future, you know,

0:18:35.720 --> 0:18:38.480
<v Speaker 1>we can create jobs and places to work that are

0:18:38.640 --> 0:18:41.360
<v Speaker 1>that are much better, and I think that's what can unlock,

0:18:41.640 --> 0:18:44.720
<v Speaker 1>you know, a new future for American manufacturer.

0:18:46.280 --> 0:18:51.080
<v Speaker 4>Miguel across all of your projects, was it difficult to

0:18:51.200 --> 0:18:54.440
<v Speaker 4>engage with investors? Did you have to do some reputational

0:18:54.520 --> 0:18:58.720
<v Speaker 4>rebuilding or explain what happened that we work your associations

0:18:58.720 --> 0:19:01.359
<v Speaker 4>with Adam Are those questions.

0:19:02.240 --> 0:19:03.600
<v Speaker 9>Yeah, I think they're fair.

0:19:03.800 --> 0:19:05.960
<v Speaker 1>I mean a lot of the stuff that I worked

0:19:06.000 --> 0:19:09.480
<v Speaker 1>on was the we Work product and obviously building helping

0:19:09.560 --> 0:19:13.560
<v Speaker 1>to build an organization that scaled to you know, hundreds

0:19:13.600 --> 0:19:17.440
<v Speaker 1>of locations around the world, and that is a credibility

0:19:17.480 --> 0:19:20.680
<v Speaker 1>which I think is lasting. I mean, we were able

0:19:20.760 --> 0:19:23.800
<v Speaker 1>to do amazing things. And then there's obviously another layer

0:19:24.560 --> 0:19:27.639
<v Speaker 1>of things at the company that didn't go as well,

0:19:28.400 --> 0:19:30.919
<v Speaker 1>and you know, people always have questions about that, and

0:19:31.040 --> 0:19:34.040
<v Speaker 1>oftentimes I would say, you know, people want to know

0:19:34.359 --> 0:19:38.520
<v Speaker 1>the we Work storty. You know, there's a sort of insatiable,

0:19:38.560 --> 0:19:41.880
<v Speaker 1>insatiable desire to learn more about what happened that we work.

0:19:41.960 --> 0:19:45.240
<v Speaker 1>So I don't mind those conversations. You know, for me,

0:19:45.359 --> 0:19:48.320
<v Speaker 1>it's still a learning process. I still like reflecting on

0:19:48.400 --> 0:19:51.560
<v Speaker 1>those times because I learned from all those conversations. So yeah,

0:19:51.600 --> 0:19:54.639
<v Speaker 1>I mean I wouldn't say reputational as much as just

0:19:54.680 --> 0:19:55.960
<v Speaker 1>people are really curious.

0:19:56.960 --> 0:19:59.560
<v Speaker 2>People are curious also, of course that you're getting back

0:19:59.600 --> 0:20:02.320
<v Speaker 2>into the world of commercial real estate. In many ways

0:20:02.400 --> 0:20:04.879
<v Speaker 2>we're thinking of is it nia how you say it,

0:20:05.080 --> 0:20:08.200
<v Speaker 2>a focus on a social network but in a real

0:20:08.280 --> 0:20:11.399
<v Speaker 2>life one for people fifty five years and older. I

0:20:11.400 --> 0:20:14.119
<v Speaker 2>can see the relevance of the relevancy of this with

0:20:14.480 --> 0:20:17.119
<v Speaker 2>older parents who complain about noise levels and the way

0:20:17.160 --> 0:20:21.399
<v Speaker 2>in which one interacts. But ultimately does the real estate

0:20:21.840 --> 0:20:23.600
<v Speaker 2>arc that we're currently on at the moment mean that

0:20:23.600 --> 0:20:25.840
<v Speaker 2>you're getting good prices. People are worried about the banks,

0:20:25.840 --> 0:20:28.399
<v Speaker 2>for example, and their exposure to real estate, particular commercial

0:20:28.440 --> 0:20:28.840
<v Speaker 2>real estate.

0:20:30.160 --> 0:20:33.000
<v Speaker 1>Yeah, so there's a parallel to you know, we work.

0:20:33.080 --> 0:20:35.120
<v Speaker 1>When we first started, we were coming out of that

0:20:35.480 --> 0:20:38.640
<v Speaker 1>financial crisis back you know, two thousand and seven, two

0:20:38.720 --> 0:20:40.760
<v Speaker 1>thousand and eight, and then there was a big dip

0:20:40.800 --> 0:20:43.160
<v Speaker 1>in commercial real estate back then, and that actually helped

0:20:43.240 --> 0:20:46.000
<v Speaker 1>us acquire, you know, especially in the early days, good

0:20:46.040 --> 0:20:48.679
<v Speaker 1>deals on our initial buildings. And so I think that

0:20:48.800 --> 0:20:52.000
<v Speaker 1>opportunity is similar. A lot of people were coming to

0:20:52.040 --> 0:20:54.840
<v Speaker 1>me with future of work questions, you know, what do

0:20:54.840 --> 0:20:57.359
<v Speaker 1>you think is going to happen? What role do you

0:20:57.440 --> 0:21:01.080
<v Speaker 1>want to play in it? And honestly, I have to

0:21:01.080 --> 0:21:03.919
<v Speaker 1>say I'm a bit not bored. But it's just I've

0:21:04.000 --> 0:21:05.840
<v Speaker 1>sort of been there, done that, and for me to

0:21:05.920 --> 0:21:08.760
<v Speaker 1>re enter that market didn't make sense to me. But

0:21:08.800 --> 0:21:10.439
<v Speaker 1>I do think there are a lot of parallels. I mean,

0:21:10.480 --> 0:21:14.240
<v Speaker 1>I want to create communities for people where they you know,

0:21:14.480 --> 0:21:17.120
<v Speaker 1>enter and spend time in spaces that make them feel good.

0:21:17.320 --> 0:21:21.080
<v Speaker 1>And I think that's where this opportunity became clear, you know,

0:21:21.119 --> 0:21:23.560
<v Speaker 1>an intersection of what I love to do and the

0:21:23.560 --> 0:21:24.800
<v Speaker 1>opportunity in real estate.

0:21:25.480 --> 0:21:28.320
<v Speaker 2>Briefly, Adam Newman, of course, your co foundal We Work,

0:21:28.440 --> 0:21:29.800
<v Speaker 2>is also back in the way to take game.

0:21:29.840 --> 0:21:31.000
<v Speaker 5>Would you ever work with him again?

0:21:32.760 --> 0:21:35.639
<v Speaker 1>You know, for me, my main thing is growth and learning.

0:21:35.800 --> 0:21:39.640
<v Speaker 1>I like to keep expanding on, you know, the experiences

0:21:39.640 --> 0:21:42.040
<v Speaker 1>that life can offer me. And you know, Adam is

0:21:42.080 --> 0:21:45.600
<v Speaker 1>a CEO, he's a he's a top dog and a leader,

0:21:45.720 --> 0:21:48.080
<v Speaker 1>and and for me, I want to I want to

0:21:48.160 --> 0:21:50.359
<v Speaker 1>learn how to be in that position. I want to

0:21:50.400 --> 0:21:52.840
<v Speaker 1>lead a company. And so it doesn't make sense right

0:21:52.880 --> 0:21:55.280
<v Speaker 1>now for us to work together, but I you know,

0:21:55.520 --> 0:21:57.800
<v Speaker 1>for no reason other than I just want to keep

0:21:57.840 --> 0:21:59.000
<v Speaker 1>growing on my own journey.

0:21:59.320 --> 0:22:02.560
<v Speaker 2>Michael, thanks for telling us your journey. American giant proto

0:22:03.200 --> 0:22:05.400
<v Speaker 2>Naya come on and talk to us about it again.

0:22:05.440 --> 0:22:07.000
<v Speaker 5>Migael mc kelvey, co founder of we.

0:22:06.960 --> 0:22:17.040
<v Speaker 2>Work, welcome back to blue their technology. I'm Caroline Hyde

0:22:17.040 --> 0:22:17.720
<v Speaker 2>in New York.

0:22:18.040 --> 0:22:20.479
<v Speaker 4>And im Ed Lovelow in San Francisco. Caroline, just get

0:22:20.520 --> 0:22:23.040
<v Speaker 4>a check on markets. We're in quite a tight range.

0:22:23.359 --> 0:22:25.560
<v Speaker 4>When it comes to equity markets, look at the NAZET

0:22:25.600 --> 0:22:28.240
<v Speaker 4>one hundred up three ten percent. A lot of focus

0:22:28.240 --> 0:22:30.639
<v Speaker 4>on what's happening with the debt ceiling debate out in DC,

0:22:31.160 --> 0:22:34.080
<v Speaker 4>a little bit of caution outperformance in semiconductors. I look

0:22:34.119 --> 0:22:37.080
<v Speaker 4>at the Philadelphia Semiconductor Index. Every name in the green

0:22:37.119 --> 0:22:40.280
<v Speaker 4>apart from one which is a SML currently flat, a

0:22:40.280 --> 0:22:42.440
<v Speaker 4>lot of upside there, yields climbing a little higher four

0:22:42.480 --> 0:22:44.560
<v Speaker 4>basis points on the ten year three point five percent,

0:22:44.560 --> 0:22:47.440
<v Speaker 4>and as you noted earlier, Bitcoin on its way back

0:22:47.520 --> 0:22:50.439
<v Speaker 4>up again towards or an above twenty seven five hundred

0:22:50.720 --> 0:22:53.720
<v Speaker 4>US dollars per token. In terms of the specific names

0:22:53.720 --> 0:22:57.840
<v Speaker 4>and movers that we're watching, the big newsflow mover is

0:22:57.840 --> 0:23:00.919
<v Speaker 4>obviously Activision and Microsoft, those two names moving to the upside.

0:23:00.960 --> 0:23:03.640
<v Speaker 4>Microsoft basically flat now, but Activision up one point three

0:23:03.680 --> 0:23:07.680
<v Speaker 4>percent after the European Commission approved the deal for Microsoft

0:23:07.720 --> 0:23:10.479
<v Speaker 4>to acquire the video game maker for sixty nine billion

0:23:10.760 --> 0:23:13.960
<v Speaker 4>US dollars. Look at C three AI up nineteen percent,

0:23:14.080 --> 0:23:17.080
<v Speaker 4>carrow biggest Johnpson's the end of March out early with

0:23:17.200 --> 0:23:21.800
<v Speaker 4>results slightly raising full year guidance, but also some response

0:23:21.840 --> 0:23:24.600
<v Speaker 4>from the company to short sellar reports that we'll get

0:23:24.640 --> 0:23:29.400
<v Speaker 4>into with the C three AI CEO Tom Sebel joins us. Now, Tom,

0:23:30.040 --> 0:23:33.000
<v Speaker 4>you modestly raise guidance for the full year. Caroline's been

0:23:33.000 --> 0:23:36.080
<v Speaker 4>doing a great job covering how a lot of the

0:23:36.080 --> 0:23:39.000
<v Speaker 4>equity market activity at the start of this year is

0:23:39.119 --> 0:23:43.000
<v Speaker 4>all AI driven. Was your guidance raised? Just the authoria

0:23:43.080 --> 0:23:44.280
<v Speaker 4>that we've seen in AI.

0:23:46.800 --> 0:23:51.240
<v Speaker 11>High ed Hi, carolinan We with all the planning activity

0:23:51.280 --> 0:23:53.879
<v Speaker 11>that's going on after the end of the year for

0:23:53.920 --> 0:23:57.120
<v Speaker 11>a fiscal year twenty four and twenty five for new products,

0:23:57.200 --> 0:23:59.640
<v Speaker 11>new customers, new growth, and now this is going on

0:24:00.200 --> 0:24:02.960
<v Speaker 11>the world. We had a lot of good news to

0:24:03.080 --> 0:24:06.119
<v Speaker 11>report and we wanted to make sure that there wasn't

0:24:06.200 --> 0:24:09.080
<v Speaker 11>an inadvertent selective.

0:24:08.560 --> 0:24:09.920
<v Speaker 12>Disclosure of this information.

0:24:10.200 --> 0:24:12.879
<v Speaker 11>So we issued this release just to make sure that

0:24:12.920 --> 0:24:16.240
<v Speaker 11>the information was provided to the market in a manner

0:24:16.320 --> 0:24:19.959
<v Speaker 11>that's compliant with all SEC regulations.

0:24:20.400 --> 0:24:24.359
<v Speaker 2>Thomas, it's fascinating C three generative AI for enterprise search.

0:24:24.560 --> 0:24:26.600
<v Speaker 2>I think it was March that you unveiled this. You've

0:24:26.640 --> 0:24:29.600
<v Speaker 2>said at the moment that the addressable market for enterprise

0:24:29.720 --> 0:24:32.879
<v Speaker 2>AI is extraordinarily large, but everyone's fighting for it. We

0:24:33.000 --> 0:24:35.399
<v Speaker 2>just had, of course cause Palenteers saying they want to

0:24:35.400 --> 0:24:39.280
<v Speaker 2>take the whole market for generative AI, and they're particularly

0:24:39.400 --> 0:24:41.600
<v Speaker 2>active in some of the defense areas that you are.

0:24:42.280 --> 0:24:45.360
<v Speaker 5>Can there be multiple players? How are you feeling about competition?

0:24:46.640 --> 0:24:48.920
<v Speaker 11>I think what we look at is so Caroline, As

0:24:48.960 --> 0:24:51.960
<v Speaker 11>you know, for some years now, for over a decade,

0:24:52.320 --> 0:24:56.160
<v Speaker 11>we've been talking about this emerging market for applying artificial

0:24:56.200 --> 0:25:00.960
<v Speaker 11>intelligence the enterprises to improve their business operations. Now, I

0:25:01.000 --> 0:25:04.720
<v Speaker 11>think as we power into twenty twenty three, the whole

0:25:04.720 --> 0:25:07.840
<v Speaker 11>world has come around to seeing that this is a

0:25:07.960 --> 0:25:11.119
<v Speaker 11>huge addressable market and there's no corporation that want doesn't

0:25:11.119 --> 0:25:15.840
<v Speaker 11>want to take advantage of it. This looks like a

0:25:15.920 --> 0:25:18.560
<v Speaker 11>larger than a half a billion half a trillion dollar

0:25:18.600 --> 0:25:23.720
<v Speaker 11>addressable software market growing very rapidly, and I think there's

0:25:23.760 --> 0:25:27.280
<v Speaker 11>going to be an opportunity for many companies to be.

0:25:27.320 --> 0:25:29.719
<v Speaker 12>Quite successful in this space after it's over. This is

0:25:29.800 --> 0:25:30.600
<v Speaker 12>this is a big.

0:25:30.440 --> 0:25:34.280
<v Speaker 2>One, and how are they using your particular offering? How

0:25:34.720 --> 0:25:36.720
<v Speaker 2>you are building for these companies? We just saw a

0:25:36.760 --> 0:25:40.040
<v Speaker 2>load of the names proving different well.

0:25:39.840 --> 0:25:44.720
<v Speaker 11>We use AI to basically make all these enterprise applications

0:25:44.720 --> 0:25:48.200
<v Speaker 11>that have been installed in the last three decades erp

0:25:48.480 --> 0:25:52.359
<v Speaker 11>CRM manufacturing supply chain to make them predictive, so that

0:25:52.440 --> 0:25:55.080
<v Speaker 11>we can predict how many parts we need in each

0:25:55.119 --> 0:25:57.639
<v Speaker 11>component of our supply chain, so we deliver products on

0:25:57.720 --> 0:26:01.119
<v Speaker 11>time in it in full, say air Force, we use

0:26:01.160 --> 0:26:05.240
<v Speaker 11>it to predict device failure or system failure in weapons

0:26:05.280 --> 0:26:10.080
<v Speaker 11>systems like aircraft so that they have increased availability, fraud detection,

0:26:10.280 --> 0:26:14.960
<v Speaker 11>customer churn. So these are the most common applications of

0:26:15.119 --> 0:26:18.880
<v Speaker 11>enterprise AI to business processes, and I think that there

0:26:18.920 --> 0:26:21.920
<v Speaker 11>is no CEO in the world that is not now

0:26:21.960 --> 0:26:23.600
<v Speaker 11>trying to figure out how this is not kind of

0:26:23.680 --> 0:26:25.760
<v Speaker 11>number one on his or her list. You're trying to

0:26:25.760 --> 0:26:29.239
<v Speaker 11>figure out how to use these technologies to advance their

0:26:29.280 --> 0:26:29.960
<v Speaker 11>market position.

0:26:31.200 --> 0:26:31.480
<v Speaker 3>Tom.

0:26:31.480 --> 0:26:36.200
<v Speaker 4>On April fourth, Carrisdale Capital, a known short seller, alleged

0:26:36.320 --> 0:26:40.000
<v Speaker 4>serious accounting and disclosure issues with C three AI. What

0:26:40.160 --> 0:26:42.520
<v Speaker 4>is your latest response to that short seller report.

0:26:43.359 --> 0:26:46.560
<v Speaker 11>Well, you can see on our website that our audit

0:26:46.640 --> 0:26:51.639
<v Speaker 11>committee conducted an impetitive investigation with independent outside council and

0:26:51.720 --> 0:26:56.040
<v Speaker 11>independent accounting firm and determined that all of those allegations

0:26:56.040 --> 0:27:00.160
<v Speaker 11>were a complete bunk, and so we published that this morning.

0:27:01.440 --> 0:27:05.199
<v Speaker 11>It's been well reported that Carrisdale is under investigation by

0:27:05.200 --> 0:27:08.480
<v Speaker 11>the Department of Justice for doing this sort of thing

0:27:08.520 --> 0:27:12.639
<v Speaker 11>to manipulate stock prices to their economic advantage. If this

0:27:12.760 --> 0:27:16.560
<v Speaker 11>is true, it's highly unlawful. We expect to have the

0:27:16.560 --> 0:27:20.679
<v Speaker 11>opportunity to cooperate with the Department of Justice and this activity,

0:27:21.080 --> 0:27:24.560
<v Speaker 11>and hopefully the Department of Justice will do their job

0:27:25.200 --> 0:27:29.360
<v Speaker 11>and if they find that there is wrongdoing, hopefully these

0:27:29.400 --> 0:27:33.680
<v Speaker 11>people will be prosecuted to the full extent of the law.

0:27:34.440 --> 0:27:36.359
<v Speaker 3>Okay, Tom, thank you for the update on that.

0:27:37.280 --> 0:27:39.720
<v Speaker 4>I went to our audience and I said, Tom Siebel's

0:27:39.720 --> 0:27:40.359
<v Speaker 4>coming on the show.

0:27:40.400 --> 0:27:42.320
<v Speaker 3>What do you want to know? One question that caught

0:27:42.359 --> 0:27:42.720
<v Speaker 3>my eye.

0:27:43.560 --> 0:27:46.720
<v Speaker 4>Are there any government or public sector contracts that you

0:27:46.800 --> 0:27:51.280
<v Speaker 4>have turned down for ethics reasons when it relates to AI.

0:27:53.160 --> 0:27:57.399
<v Speaker 11>Yes, there is a government and I won't say which one, Okay.

0:27:57.359 --> 0:27:59.400
<v Speaker 3>Is asked come on, you've got to say which one, now, Tom,

0:28:00.119 --> 0:28:01.120
<v Speaker 3>Which government.

0:28:01.400 --> 0:28:02.879
<v Speaker 12>That has asked us to use AI?

0:28:03.200 --> 0:28:07.320
<v Speaker 11>To a Western government, because that's all we do business with,

0:28:07.640 --> 0:28:10.840
<v Speaker 11>that has asked us to use AI to identify extremists

0:28:10.880 --> 0:28:14.000
<v Speaker 11>in the population, We think that we don't want to

0:28:14.000 --> 0:28:19.280
<v Speaker 11>touch that. On a more less controversial note, Okay, we've

0:28:19.280 --> 0:28:21.520
<v Speaker 11>been asked. We were asked some years ago to build

0:28:21.520 --> 0:28:26.040
<v Speaker 11>an hr AI enabled hr system for the Department of

0:28:26.080 --> 0:28:29.400
<v Speaker 11>the Army. Okay, this would use a AI to determine

0:28:29.400 --> 0:28:30.960
<v Speaker 11>who to promote, who to assign.

0:28:31.520 --> 0:28:32.760
<v Speaker 12>Now we neglect.

0:28:32.960 --> 0:28:36.520
<v Speaker 11>We elected not to do that because what we're doing

0:28:36.600 --> 0:28:39.840
<v Speaker 11>is propagating cultural bias. No matter what the question is,

0:28:39.880 --> 0:28:42.200
<v Speaker 11>the answer will be white male went to West Point

0:28:42.600 --> 0:28:45.920
<v Speaker 11>and in twenty first century, that answer is simply not

0:28:45.960 --> 0:28:49.480
<v Speaker 11>going to fly. And so there are other companies in

0:28:49.520 --> 0:28:52.680
<v Speaker 11>our business who would get a snap of that opportunity

0:28:52.720 --> 0:28:55.840
<v Speaker 11>to a second but but we won't do those things.

0:28:56.280 --> 0:29:00.520
<v Speaker 2>Basically, you're saying yourself regulating Tom, and I'm interested in

0:29:00.760 --> 0:29:03.720
<v Speaker 2>what you make of the guardrails, whether they're being put

0:29:03.760 --> 0:29:07.280
<v Speaker 2>in place enough amid private markets. We just had the

0:29:07.360 --> 0:29:11.440
<v Speaker 2>Credo AI CEO on recently. Navina, who's working along with

0:29:11.480 --> 0:29:12.840
<v Speaker 2>Booz Allen. I know you do a lot of work

0:29:12.880 --> 0:29:15.080
<v Speaker 2>with Booz Allen thinking about how we can have these

0:29:15.120 --> 0:29:18.880
<v Speaker 2>guardrails put in place by the companies themselves. Ultimately, do

0:29:18.920 --> 0:29:21.160
<v Speaker 2>you think government needs to be ahead of the curve here?

0:29:21.200 --> 0:29:23.600
<v Speaker 2>You have a lot of ex government officials on your board.

0:29:23.640 --> 0:29:27.600
<v Speaker 11>For example, Caroline, I think you're raising a very important issue.

0:29:27.680 --> 0:29:30.880
<v Speaker 11>I mean, this matter of the ethical application of AI

0:29:31.240 --> 0:29:35.720
<v Speaker 11>is hugely important. I mean, these technologies are extraordinarily powerful,

0:29:36.200 --> 0:29:40.960
<v Speaker 11>and pretty soon it will be almost virtually impossible for

0:29:41.040 --> 0:29:44.440
<v Speaker 11>a mortal to determine the difference in news in fake news.

0:29:44.760 --> 0:29:48.640
<v Speaker 11>These questions call into the question our ability to conduct

0:29:48.840 --> 0:29:51.440
<v Speaker 11>free and open democratic societies.

0:29:51.760 --> 0:29:53.800
<v Speaker 12>So this is very troubling stuff.

0:29:54.440 --> 0:29:58.080
<v Speaker 11>I don't believe that in the long run that self

0:29:58.120 --> 0:30:01.280
<v Speaker 11>regulation is going to work. We've seen too many private

0:30:01.400 --> 0:30:04.640
<v Speaker 11>enterprises and by the way, too many public sector organizations

0:30:04.800 --> 0:30:08.760
<v Speaker 11>that do not act beneficially. But you know, it is

0:30:08.800 --> 0:30:11.920
<v Speaker 11>an important issue and it does need to be discussed

0:30:12.080 --> 0:30:13.880
<v Speaker 11>or this will go to some.

0:30:15.600 --> 0:30:16.480
<v Speaker 12>Horrible places.

0:30:18.280 --> 0:30:20.080
<v Speaker 4>Tom, I want to come to you and ask about

0:30:20.120 --> 0:30:25.280
<v Speaker 4>your costs. There's a lot of emphasis on particularly chip design,

0:30:25.720 --> 0:30:29.320
<v Speaker 4>you know, finding the most efficient path forward to power cloud,

0:30:29.920 --> 0:30:34.600
<v Speaker 4>the energy costs behind building large language models, training foundational models.

0:30:35.120 --> 0:30:37.080
<v Speaker 4>How are you kind of making sure that in all

0:30:37.120 --> 0:30:39.280
<v Speaker 4>the work you're doing you said you're bringing new products

0:30:39.280 --> 0:30:41.960
<v Speaker 4>in that you're still not letting kind of costs some

0:30:42.120 --> 0:30:43.400
<v Speaker 4>ravel and get out of control.

0:30:45.120 --> 0:30:49.440
<v Speaker 11>Well, our costs, so our cost in operating these these

0:30:49.520 --> 0:30:53.240
<v Speaker 11>large language models and these enterprise AI applications and our

0:30:53.280 --> 0:30:58.800
<v Speaker 11>customer's costs are primarily from these vendors that provide the

0:30:58.800 --> 0:31:04.360
<v Speaker 11>cloud infrastructure, from Google Cloud, from AWS, from microsofts who

0:31:04.400 --> 0:31:06.680
<v Speaker 11>are what have you now? I think that you know

0:31:06.760 --> 0:31:10.120
<v Speaker 11>these guys who operate these companies and those companies that

0:31:10.160 --> 0:31:11.640
<v Speaker 11>are behind them, like in Nvidia.

0:31:12.000 --> 0:31:13.880
<v Speaker 12>These are very smart people and.

0:31:13.840 --> 0:31:18.000
<v Speaker 11>They are I think making amazing kind of breakthroughs in

0:31:18.120 --> 0:31:23.640
<v Speaker 11>chip technology and energy efficiency technology, and I'm confident they

0:31:23.680 --> 0:31:28.840
<v Speaker 11>will be able to provide these massive scale computation on

0:31:28.920 --> 0:31:35.320
<v Speaker 11>storage infrastructures available to governments and private enterprises at more

0:31:35.360 --> 0:31:36.480
<v Speaker 11>than acceptable cost.

0:31:37.040 --> 0:31:39.400
<v Speaker 2>Tom, great to catch up with you. Thanks coming on

0:31:39.400 --> 0:31:41.320
<v Speaker 2>on a busy day. Tom Cwell is C three AI

0:31:41.440 --> 0:31:44.840
<v Speaker 2>CEO in mob blomog News is in touch with Caristale about,

0:31:45.040 --> 0:31:46.800
<v Speaker 2>of course, what Tom has said. If they want to

0:31:46.800 --> 0:31:50.400
<v Speaker 2>make further comment, We appreciate your comments today. Meanwhile, sticking

0:31:50.400 --> 0:31:53.320
<v Speaker 2>with AI, Google is adding two new features in its

0:31:53.440 --> 0:31:56.880
<v Speaker 2>image search to reduce the spread of misinformation, especially now

0:31:56.880 --> 0:31:59.640
<v Speaker 2>that the artificial intelligence tools have made the creation of

0:31:59.680 --> 0:32:02.320
<v Speaker 2>folk so realistic fakes all the more common. That the

0:32:02.360 --> 0:32:04.760
<v Speaker 2>new feature is called about this image, You're going to

0:32:04.840 --> 0:32:07.480
<v Speaker 2>get context with it. You're going to understand when the

0:32:07.560 --> 0:32:10.080
<v Speaker 2>image or similar ones we first index by Google, where

0:32:10.080 --> 0:32:12.840
<v Speaker 2>they first appeared and where else they shown up online?

0:32:13.800 --> 0:32:17.280
<v Speaker 2>Coming up? Guess what we're talking AI? Yes, but this

0:32:17.360 --> 0:32:20.600
<v Speaker 2>time from a venture perspective. How are you starting out

0:32:20.760 --> 0:32:23.040
<v Speaker 2>your investment journey? Where are the startups that you want

0:32:23.080 --> 0:32:25.880
<v Speaker 2>me backing? George Matthew Manage, director of Insight Partners, with

0:32:26.120 --> 0:32:29.360
<v Speaker 2>plenty of expertise in the field of AI and mL

0:32:29.640 --> 0:32:30.320
<v Speaker 2>joining us next.

0:32:30.320 --> 0:32:31.160
<v Speaker 5>This is bringing back.

0:32:41.480 --> 0:32:44.400
<v Speaker 11>I think the hype around AI is under hyped given

0:32:44.480 --> 0:32:46.440
<v Speaker 11>the impact I think is going to have on the

0:32:46.480 --> 0:32:47.280
<v Speaker 11>way we work and live.

0:32:47.440 --> 0:32:50.720
<v Speaker 3>The top of my questions from many of our customers.

0:32:50.320 --> 0:32:52.960
<v Speaker 2>Is you know, how can they continue in a waking

0:32:53.040 --> 0:32:56.000
<v Speaker 2>responsibly or get crushed by this generative AI wa.

0:32:56.320 --> 0:32:58.720
<v Speaker 10>I think it's going to take a while for regulatory

0:32:59.400 --> 0:33:02.360
<v Speaker 10>frameworks come into place, given the lack of knowledge it

0:33:02.400 --> 0:33:04.640
<v Speaker 10>appears and people in Washington.

0:33:04.720 --> 0:33:06.880
<v Speaker 2>I really think it's going to be incumbent on companies

0:33:06.920 --> 0:33:09.200
<v Speaker 2>themselves to be responsible and.

0:33:09.280 --> 0:33:12.080
<v Speaker 13>How they're taking advantage of this technology and putting in

0:33:12.080 --> 0:33:13.200
<v Speaker 13>place those guardrails.

0:33:13.280 --> 0:33:16.640
<v Speaker 1>We train our models to actually understand what is the

0:33:16.640 --> 0:33:18.840
<v Speaker 1>information on the web that corroborates it that backs up

0:33:18.880 --> 0:33:21.400
<v Speaker 1>the information and if we can't corroborate it, then we will.

0:33:21.280 --> 0:33:21.960
<v Speaker 3>Not output it.

0:33:22.040 --> 0:33:24.480
<v Speaker 10>And what we're seeing today is a lot of AI

0:33:24.560 --> 0:33:26.480
<v Speaker 10>tourists pretending to be AI natives.

0:33:26.560 --> 0:33:28.200
<v Speaker 2>You know, there's a lot of companies who are not

0:33:28.320 --> 0:33:30.960
<v Speaker 2>selling solutions, they're ultimately just selling vaporware.

0:33:31.040 --> 0:33:33.680
<v Speaker 10>AI is something that's you know, we actually know a

0:33:33.680 --> 0:33:34.800
<v Speaker 10>lot about our industry.

0:33:34.880 --> 0:33:36.800
<v Speaker 3>Is no stranger to it.

0:33:36.920 --> 0:33:39.160
<v Speaker 1>So for almost all of us experience the beauty of

0:33:39.200 --> 0:33:40.000
<v Speaker 1>a generativ I.

0:33:41.200 --> 0:33:43.080
<v Speaker 2>There's some of our recent guests and what they had

0:33:43.080 --> 0:33:45.440
<v Speaker 2>to say about the AI landscape, both from a fauner

0:33:45.480 --> 0:33:48.440
<v Speaker 2>perspective to an investing one. So let's keep talking about it.

0:33:48.480 --> 0:33:51.000
<v Speaker 2>We've got our VC Spotlight moment with George matthew Managing

0:33:51.000 --> 0:33:53.400
<v Speaker 2>director of Insight Partners, who too has had.

0:33:53.240 --> 0:33:55.160
<v Speaker 5>A journey as a builder as.

0:33:55.000 --> 0:33:57.720
<v Speaker 2>A ceokspre You were over at Outrix as well, really

0:33:57.720 --> 0:33:59.840
<v Speaker 2>helping that business go public and now you're on the

0:34:00.080 --> 0:34:01.680
<v Speaker 2>finding the new vet side of the equation.

0:34:02.440 --> 0:34:05.120
<v Speaker 5>And George, what do you make of the hype around AI?

0:34:05.280 --> 0:34:05.720
<v Speaker 9>Is it hype?

0:34:05.800 --> 0:34:07.520
<v Speaker 5>Is it reality? How you seeing the week from the

0:34:07.560 --> 0:34:08.240
<v Speaker 5>chaff at the moment?

0:34:08.640 --> 0:34:11.279
<v Speaker 13>Yeah, Carolyn, question you asked that question. When you think

0:34:11.280 --> 0:34:14.000
<v Speaker 13>about what's going on in AI right now, it's very

0:34:14.080 --> 0:34:16.280
<v Speaker 13>clear that there is a fair amount of hype today.

0:34:16.600 --> 0:34:19.080
<v Speaker 13>But when we look at this down the line ten

0:34:19.160 --> 0:34:22.399
<v Speaker 13>years from now, we'll realize that absolutely incredible things are

0:34:22.440 --> 0:34:25.400
<v Speaker 13>happening right now as we speak in terms of building

0:34:25.440 --> 0:34:28.040
<v Speaker 13>this next generation of software. And this is where Insight

0:34:28.080 --> 0:34:31.160
<v Speaker 13>has been focused for almost twenty six years, in terms

0:34:31.160 --> 0:34:34.319
<v Speaker 13>of really helping guide many of the great founders and

0:34:34.400 --> 0:34:36.560
<v Speaker 13>executives in building great software companies.

0:34:37.200 --> 0:34:39.560
<v Speaker 2>Do the guidance for a moment, because yes, you're there

0:34:39.600 --> 0:34:41.879
<v Speaker 2>with your AI, your mL had set on, and I'm

0:34:41.880 --> 0:34:44.200
<v Speaker 2>sure you're thinking about companies that have that as their

0:34:44.239 --> 0:34:46.720
<v Speaker 2>bones to invest in. But when I think of Insight,

0:34:46.760 --> 0:34:48.520
<v Speaker 2>I'm also thinking the ed tech companies you have, the

0:34:48.520 --> 0:34:50.839
<v Speaker 2>e commerce companies that you have, the companies that are

0:34:51.080 --> 0:34:55.680
<v Speaker 2>being disrupted enormously by artificial intelligence, particularly generative How much

0:34:55.680 --> 0:34:59.400
<v Speaker 2>are you having to guide those companies to become AI native?

0:34:59.440 --> 0:35:01.960
<v Speaker 13>In many ways, in my view, every company has an

0:35:01.960 --> 0:35:04.439
<v Speaker 13>opportunity to become an AI company, And if you think

0:35:04.440 --> 0:35:08.000
<v Speaker 13>about the opportunity that exists, particularly within the inside portfolio,

0:35:08.280 --> 0:35:11.879
<v Speaker 13>many of those companies have incredible amounts of private data. Well,

0:35:11.920 --> 0:35:14.680
<v Speaker 13>what is that opportunity when you look at the market

0:35:14.760 --> 0:35:17.800
<v Speaker 13>for really building AI companies at scale in the future,

0:35:17.920 --> 0:35:20.279
<v Speaker 13>It turns out it's our private data. And so when

0:35:20.320 --> 0:35:23.280
<v Speaker 13>we work with many of our portfolio companies, we really

0:35:23.280 --> 0:35:26.000
<v Speaker 13>help them understand the use of that data to be

0:35:26.040 --> 0:35:28.359
<v Speaker 13>able to build analytical models, to be able to build

0:35:28.440 --> 0:35:31.799
<v Speaker 13>generative models at scale, and be able to support the

0:35:31.840 --> 0:35:35.080
<v Speaker 13>scale of their existing business being an AI driven one.

0:35:35.160 --> 0:35:37.400
<v Speaker 2>It really is going back to that Kafe Wood conversation

0:35:37.440 --> 0:35:40.839
<v Speaker 2>we had several months ago and again about proprietary data

0:35:40.840 --> 0:35:41.719
<v Speaker 2>and how important it is.

0:35:42.719 --> 0:35:45.080
<v Speaker 4>Yeah, I think the thing for me, George is we

0:35:45.120 --> 0:35:46.840
<v Speaker 4>have been our coaster on the show a couple of

0:35:46.880 --> 0:35:50.200
<v Speaker 4>weeks ago, and he made this claim that ninety percent

0:35:50.239 --> 0:35:52.440
<v Speaker 4>of the companies that you guys are putting money into

0:35:52.800 --> 0:35:55.400
<v Speaker 4>is an industry. They're not going to make it. So

0:35:55.480 --> 0:35:59.160
<v Speaker 4>I wonder what the strategy then is whether you have

0:35:59.239 --> 0:36:02.359
<v Speaker 4>to have a much a portfolio of companies now just

0:36:02.400 --> 0:36:05.600
<v Speaker 4>to make sure that in a crowded field you find

0:36:05.640 --> 0:36:07.000
<v Speaker 4>the kind of shining star.

0:36:08.080 --> 0:36:10.480
<v Speaker 13>I think when you look at this market today, there

0:36:10.480 --> 0:36:13.480
<v Speaker 13>are many companies that are going to struggle in their

0:36:13.520 --> 0:36:17.880
<v Speaker 13>transition to really deliver AI solutions at scale. We ad

0:36:17.960 --> 0:36:21.640
<v Speaker 13>Insight really focus on the businesses that really understand a

0:36:21.680 --> 0:36:22.800
<v Speaker 13>few things really well.

0:36:23.000 --> 0:36:25.080
<v Speaker 9>One is the ability.

0:36:24.600 --> 0:36:27.200
<v Speaker 13>To have that private data available to them to be

0:36:27.239 --> 0:36:30.239
<v Speaker 13>able to build their AI products. Two is to be

0:36:30.239 --> 0:36:33.239
<v Speaker 13>able to look at user experiences. Three is to be

0:36:33.280 --> 0:36:36.040
<v Speaker 13>able to have a great workflow that fits into the

0:36:36.080 --> 0:36:39.279
<v Speaker 13>rest of the way that that software works inside their

0:36:39.320 --> 0:36:42.640
<v Speaker 13>specific industry. When you find the combination of those three

0:36:42.760 --> 0:36:45.960
<v Speaker 13>or four things, you have a very interesting, compelling business.

0:36:46.239 --> 0:36:49.200
<v Speaker 13>For example, if you look at where Jasper is today

0:36:49.280 --> 0:36:52.000
<v Speaker 13>as a business, they were able to really build a

0:36:52.080 --> 0:36:55.480
<v Speaker 13>mechsuit for content marketers to be able to drive the

0:36:55.480 --> 0:36:57.799
<v Speaker 13>scale of which they are able to produce contact at

0:36:57.840 --> 0:37:01.040
<v Speaker 13>a speed that's ten x greater than any you've seen before.

0:37:01.120 --> 0:37:03.200
<v Speaker 13>And so that's a great example of a business that

0:37:03.239 --> 0:37:05.600
<v Speaker 13>can take the combination of the things that I just

0:37:05.680 --> 0:37:08.720
<v Speaker 13>mentioned and really build an AI driven business at scale.

0:37:10.120 --> 0:37:13.759
<v Speaker 4>George, why does Insight sit on the debate around regulation

0:37:13.880 --> 0:37:14.600
<v Speaker 4>and guardrails?

0:37:15.480 --> 0:37:18.640
<v Speaker 13>At Insight, we're really looking at how the changing regulation

0:37:18.960 --> 0:37:22.200
<v Speaker 13>is continuing to evolve. We definitely believe that there's a

0:37:22.320 --> 0:37:27.200
<v Speaker 13>need to positively regulate the industry, particularly as there's tremendous

0:37:27.280 --> 0:37:28.800
<v Speaker 13>changes that are occurring.

0:37:28.440 --> 0:37:30.600
<v Speaker 9>At a boat, societal and a corporate level.

0:37:31.320 --> 0:37:34.600
<v Speaker 13>We at Insight really focus on really helping our founders

0:37:34.960 --> 0:37:38.000
<v Speaker 13>just achieve the scale and their businesses and as they

0:37:38.080 --> 0:37:41.560
<v Speaker 13>think through the opportunities, particularly from an AI standpoint, how

0:37:41.560 --> 0:37:45.080
<v Speaker 13>can they build very competitive modes over time to be

0:37:45.120 --> 0:37:47.360
<v Speaker 13>able to scale their businesses accordingly.

0:37:47.440 --> 0:37:51.040
<v Speaker 2>And motes that are international in many ways. I'm interested

0:37:51.080 --> 0:37:55.000
<v Speaker 2>in when you look at your previous successes, check interestingly,

0:37:55.040 --> 0:37:57.200
<v Speaker 2>an education tech company that's now having to grapple with

0:37:57.320 --> 0:38:01.720
<v Speaker 2>AI disrupting this business model, Ali Baba, a Chinese based company.

0:38:01.800 --> 0:38:04.560
<v Speaker 2>And actually even O Coster was saying he's more worried

0:38:04.560 --> 0:38:07.799
<v Speaker 2>at the moment about China growing AI than he is

0:38:07.840 --> 0:38:10.080
<v Speaker 2>really about whether or not a lot of the ones

0:38:10.120 --> 0:38:10.480
<v Speaker 2>growing here.

0:38:10.560 --> 0:38:12.240
<v Speaker 5>And we talk chaff how.

0:38:12.040 --> 0:38:15.759
<v Speaker 2>Do you think about these two ecosystems evolving, whether US

0:38:15.840 --> 0:38:17.440
<v Speaker 2>can quote unquote win the race.

0:38:18.160 --> 0:38:20.319
<v Speaker 13>I think we're at a moment here where there is

0:38:20.440 --> 0:38:23.920
<v Speaker 13>a tremendous advantage for US based companies. And why is

0:38:23.960 --> 0:38:26.799
<v Speaker 13>that Because if you think about what comes out of

0:38:27.040 --> 0:38:31.160
<v Speaker 13>a AI or generative model, it's the ability to fuel

0:38:31.600 --> 0:38:34.719
<v Speaker 13>what we think of as reinforcement learning and that feedback

0:38:34.760 --> 0:38:37.840
<v Speaker 13>loop from a reinforcement learning standpoint, whether it be machines

0:38:37.920 --> 0:38:41.280
<v Speaker 13>humans or humans and machines driving it together, really improve

0:38:41.360 --> 0:38:44.800
<v Speaker 13>models over time. When you look at certain totalitarian regimes,

0:38:44.840 --> 0:38:48.080
<v Speaker 13>it turns out that feedback loop isn't as significant as

0:38:48.120 --> 0:38:51.200
<v Speaker 13>when you see the impact of really building a business

0:38:51.400 --> 0:38:54.640
<v Speaker 13>inside of Western democracy. So in our view, we see

0:38:54.800 --> 0:38:58.240
<v Speaker 13>a slight advantage right now for companies that are building

0:38:58.320 --> 0:39:02.799
<v Speaker 13>their corporations in the context of Western democracy, where you

0:39:02.840 --> 0:39:06.000
<v Speaker 13>can see a lot of that reinforcement learning really be

0:39:06.160 --> 0:39:10.040
<v Speaker 13>impacting the positive reinforcement of building models at scale.

0:39:11.120 --> 0:39:14.279
<v Speaker 4>George Matthew, Managing director of Insight Partners out there in

0:39:14.280 --> 0:39:16.160
<v Speaker 4>New York, thank you very much for your time