WEBVTT - Apple and Google's Gemini AI, and Nvidia's Annual Conference

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<v Speaker 1>From Mahard where Innovation, Money and Power Collie in Silicon

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<v Speaker 1>Vallet NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlove.

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<v Speaker 3>And Caroline Heider Bloomberg's world headquarters in New York. Ed

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<v Speaker 3>Ludlow He's off today. This is Bloombag Technology coming up.

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<v Speaker 3>Apple and Google in talks to use Google's Gemini AI

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<v Speaker 3>in iPhones. Will break down the potential blockbuster agreement that

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<v Speaker 3>could shake up the AI industry Prus. The Woodstock Festival

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<v Speaker 3>of AI and Videos annual conference kicks off today and

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<v Speaker 3>the company facing sky high expectations for investors. Willham full

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<v Speaker 3>coverage ahead and Elon Musk's full interview with Don Lemon.

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<v Speaker 3>It's out this morning after the billionaire canceled a planned

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<v Speaker 3>partnership with the CNN. Veteran will bring you the takeaways

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<v Speaker 3>what this means for X and why el says his

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<v Speaker 3>Ketamin prescription is an investors' best interests. It's the most

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<v Speaker 3>important story of the day when it comes to the

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<v Speaker 3>stock moves the future of AI ahead of, of course, what

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<v Speaker 3>we see from video. A little bit later, Alphabet shares

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<v Speaker 3>soaring six point eight percent.

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<v Speaker 4>Why because we understand that there are indeed some conversations

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<v Speaker 4>into the works that Gemini will be the AI of

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<v Speaker 4>choice when it comes to generative AI for Apple, of course,

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<v Speaker 4>two billion phones.

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<v Speaker 5>What does that mean?

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<v Speaker 3>Well, broadly, we have two point six percent high for Apple.

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<v Speaker 3>Now notably though, what does it mean for Apple on

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<v Speaker 3>its own generative AI story? And why not Microsoft and

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<v Speaker 3>open Ai so much to discuss the Bloomberg's Mark German

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<v Speaker 3>who brought us the scoop? Of course you did, Mark,

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<v Speaker 3>amazing bit of reporting. Now first, what does this mean

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<v Speaker 3>from your perspective for Apple? Because where are we in

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<v Speaker 3>its own generative AI story?

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<v Speaker 6>Yeah, Caroline, thank you so much for having me.

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<v Speaker 7>This is a sizable moment.

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<v Speaker 6>For the AI industry, a big moment for relations between

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<v Speaker 6>Apple and Google, and of course a big moment for Apple.

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<v Speaker 6>Apple really has no choice but to get on the

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<v Speaker 6>artificial intelligence chat GPT generative AI bandwagon. They were caught

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<v Speaker 6>flat footed when all of those new software and AI

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<v Speaker 6>initiatives started rolling out about a year and a half

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<v Speaker 6>two years ago, and so Apple has a homegrown artificial

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<v Speaker 6>intelligence model of its own. You're going to see Apple

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<v Speaker 6>release several new AI features this year, but most of

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<v Speaker 6>those features are focused on day to day productivity, proactive intelligence,

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<v Speaker 6>doing things in the background. They're not focused on what

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<v Speaker 6>we think of as AI today, which is essay creation,

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<v Speaker 6>image generation, typing things into a Gemini or chet GPT

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<v Speaker 6>or copilot like chatbot, and so to fill that gap,

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<v Speaker 6>Apple is seeking an outside partner, and they've talked to

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<v Speaker 6>two companies primarily, maybe a third, but the two they've

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<v Speaker 6>talked to primarily are Open Ai, of course, and Google

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<v Speaker 6>and Open AI and Apple held talks recently, but active

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<v Speaker 6>talks are currently between Apple and Google about licensing Gemini

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<v Speaker 6>to be used in iOS eighteen in the iPhone for

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<v Speaker 6>generative AI use cases beginning later this year.

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<v Speaker 5>Okay, that's an interesting take, isn't it.

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<v Speaker 3>More broadly about the Microsoft relationship over are I'm many

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<v Speaker 3>wondering whether how much of.

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<v Speaker 5>A done deal this is go back to alphabet and

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<v Speaker 5>what this.

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<v Speaker 3>Means not only for Gemini, which of course has had

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<v Speaker 3>some hits from a PR perspective, if not much more,

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<v Speaker 3>but also it means sort of.

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<v Speaker 5>Certain chips that they make.

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<v Speaker 3>I mean, some people reading across that this isn't therefore

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<v Speaker 3>just completely in video and an AMD's game here.

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<v Speaker 6>Yeah, certainly this is a big moment for Gemini and

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<v Speaker 6>Google as well. Depending on how this thing is branded,

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<v Speaker 6>it can turn Gemini into more of a household name.

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<v Speaker 7>From what I'm.

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<v Speaker 6>Told talks, they're not early, they're not advanced, They're sort

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<v Speaker 6>of somewhere in the middle. So this is not a

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<v Speaker 6>done deal by any stretch of the imagination. The companies

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<v Speaker 6>have some time here before Apple needs to make its

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<v Speaker 6>Artificial intelligen announcement. Commercial terms haven't been worked out yet,

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<v Speaker 6>nor has branding been worked out yet, but this definitely

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<v Speaker 6>would take Gemini and put it, like you said, on

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<v Speaker 6>billions of more devices, depending on where Apple does these

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<v Speaker 6>AI integrations and if they slapped the Gemini name on it.

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<v Speaker 6>Obviously this would be very big for Google, but it's

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<v Speaker 6>unclear yet if they will do that. It's also unclear

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<v Speaker 6>if Gemini would be the default or one of multiple

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<v Speaker 6>large language model options for checkbots and other things within Siri,

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<v Speaker 6>in addition to Apple's homegrown EIE tools, and.

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<v Speaker 3>Not to mention what that means from an anti trust

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<v Speaker 3>perspective of alphabet and Apple's relationship has been right through

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<v Speaker 3>the calls of late Mark German, wonderful reporting. Thank you

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<v Speaker 3>so much for bringing us the breakdown of the overall

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<v Speaker 3>story that has really infused enthusiasm into the stocks today.

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<v Speaker 3>Let's get more tap for you, Brentzdale, his Jeffrey's Equity

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<v Speaker 3>research analyst, and let's start on what this means for

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<v Speaker 3>Alphabet and indeed whether this deal can really get done

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<v Speaker 3>from an anti trust perspective.

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<v Speaker 5>What do you think, Brent.

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<v Speaker 7>Well, I think and get done.

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<v Speaker 8>Google needs it. I mean, right now, Google's had a

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<v Speaker 8>really difficult run. It's been an investor story that most

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<v Speaker 8>investors right now are are disappointed with the leadership, and

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<v Speaker 8>obviously the.

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<v Speaker 7>AI launches that they they've they've come out with.

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<v Speaker 8>And so I'd say in terms of the most negative

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<v Speaker 8>sentiment in any stock I cover right now is on Google.

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<v Speaker 8>So they need a good win like this, and they

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<v Speaker 8>need Gemini to to be put on the front burner

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<v Speaker 8>and and this would be obviously a huge opportunity for them.

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<v Speaker 8>Whether it happens or not, who knows at this point,

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<v Speaker 8>but yeah, this is a this is a is a

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<v Speaker 8>great opportunity for Google. I'd just say that right now,

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<v Speaker 8>all the attention has really been on Microsoft with the

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<v Speaker 8>open Eye relationship, and so obviously you're starting to see

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<v Speaker 8>different alignments in different AI technologies, right, Microsoft and open Ai,

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<v Speaker 8>obviously Apple, my Amazon's now aligning with others in the industry.

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<v Speaker 8>So you're seeing kind of clear alignment in the industry

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<v Speaker 8>around different AI leaders. And we think that again this

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<v Speaker 8>would make sense given what's happened with the search relationship,

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<v Speaker 8>to extend on Gemini out to the platform. And again

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<v Speaker 8>I think the opportunity is great for consumers, which today

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<v Speaker 8>a lot of these AI agents are.

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<v Speaker 7>Kind of difficult to navigate.

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<v Speaker 8>They're they're kind of wonky, right, So could Apple and

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<v Speaker 8>Google seamlessly integrate this into the products, you know, where

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<v Speaker 8>I can literally open up my Apple laptop and say

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<v Speaker 8>what are my top appointments for today, you know, and

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<v Speaker 8>the agent can read read off what's happening today that

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<v Speaker 8>doesn't really exist. So there's a lot of integration that

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<v Speaker 8>can make this really easy for end users and the

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<v Speaker 8>adoption you can take off further for for Google.

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<v Speaker 5>But Brent, what does it mean more broadly therefore?

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<v Speaker 3>On an ability for alphabet to maintain its market share

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<v Speaker 3>here many have worried that open ai, for example, would

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<v Speaker 3>start to steal away some of the search penetration that

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<v Speaker 3>it has, but it hasn't so far.

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<v Speaker 5>It feels like, what do you think about that?

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<v Speaker 7>It's early, Yeah, it's very early.

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<v Speaker 8>And I think why this is so important is to

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<v Speaker 8>your point that everyone's so worried that we're all gonna

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<v Speaker 8>have all these little agents running around. We're gonna ask

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<v Speaker 8>questions what's the weather like in San Francisco, house traffic?

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<v Speaker 8>And X y Z from point A to point B. Right,

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<v Speaker 8>We're gonna have these agents doing this. And I think

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<v Speaker 8>this again is why it's so badly needed that if

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<v Speaker 8>you can put on one of the top platforms that

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<v Speaker 8>this effectively and this they would capture those search shares

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<v Speaker 8>through through Gemini, right, So the AI agents need the data,

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<v Speaker 8>and they need the users, and they need the back

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<v Speaker 8>end information. And so if effectively this can front end,

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<v Speaker 8>then you know, again versus other chatbots that they could

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<v Speaker 8>partner with or any other AI agents, this this is

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<v Speaker 8>again gonna be a huge removal of that overhang.

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<v Speaker 7>Uh if that if that happen.

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<v Speaker 8>And now today I think that again many of the

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<v Speaker 8>AI agents can't really solve real world problems, right, and

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<v Speaker 8>they're starting to show that that they're getting better, and

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<v Speaker 8>so yeah, there's the fear I certainly think that this

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<v Speaker 8>would help, but that fear is not going to go

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<v Speaker 8>away for Google. Many of these systems you know, for

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<v Speaker 8>example and chat GPT. You know, I was in the

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<v Speaker 8>Atlanta airport last week. I had meetings all day. I

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<v Speaker 8>didn't know where I didn't know where Chick fil A was.

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<v Speaker 8>You can ask it's internal a right. The agents are

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<v Speaker 8>getting smarter. I don't think it would have probably known that,

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<v Speaker 8>you know, six months ago, but these agents are getting smarter.

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<v Speaker 8>So that is going to be an ongoing conserve for Google.

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<v Speaker 8>The bigger issue for Google right now is really no

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<v Speaker 8>no CFO. Who's going to be the CFO. I they're

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<v Speaker 8>going to be shareholder friendly?

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<v Speaker 5>Uh?

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<v Speaker 8>And to your point, search share and then AI relevance

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<v Speaker 8>are all weighing on investors' minds right now.

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<v Speaker 3>Okay, so still, what about Ruth Porat's replacement as she

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<v Speaker 3>moved to a different part of the business. More broadly, Brent,

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<v Speaker 3>but go back to Microsoft, which you also have a

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<v Speaker 3>buy rating on, I believe in the moment, and how

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<v Speaker 3>much this means for the traction of open AI partnership

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<v Speaker 3>with Microsoft and what being represents as a TAP challenger,

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<v Speaker 3>and more broadly, it's.

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<v Speaker 5>World of AI.

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<v Speaker 3>You worried that the fact that it hasn't automatically pushed

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<v Speaker 3>out alphabet here, I'm not worried.

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<v Speaker 8>I think again, it would make sense that Apple and

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<v Speaker 8>Google wouldligne over over an Apple Microsoft alignment, So never

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<v Speaker 8>rule it out.

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<v Speaker 7>But certainly I think that alignment with Google makes a

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<v Speaker 7>lot of sense.

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<v Speaker 8>Again, I think the thing is that you're going to

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<v Speaker 8>have multiple vendors that win. There won't be a lot

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<v Speaker 8>of winners in AI among large caps. They're only going

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<v Speaker 8>to be a few right in the Amazon, Microsoft and Google,

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<v Speaker 8>but they're all going to have an alignment and just

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<v Speaker 8>doesn't concern me for Microsoft relationship. If you think about

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<v Speaker 8>where Microsoft's writing is in large enterprise, They've gotten just

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<v Speaker 8>incredible adoption and everywhere we turn they're getting adopted often

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<v Speaker 8>right from even big Amazon shops. So it doesn't it

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<v Speaker 8>doesn't concern me. I think you're going to see again,

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<v Speaker 8>as I said, formation around different AI platforms from all

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<v Speaker 8>the big tech leaders, and that formation is started, so

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<v Speaker 8>I would I would think that the Apple Google relationship

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<v Speaker 8>would make make more sense. They never rule out Microsoft,

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<v Speaker 8>but again it's that it's not a thesis, uh crushure

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<v Speaker 8>for Microsoft, given their presence and a lot of the

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<v Speaker 8>big insurance healthcare government.

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<v Speaker 7>Uh, they're doing just fine.

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<v Speaker 8>There's plenty of contracts for them to go after outside

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<v Speaker 8>this one.

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<v Speaker 3>This is a show me moment for Alphabet Brentzelle is

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<v Speaker 3>so good to catch up with you. Thank you this

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<v Speaker 3>Monday morning of Jeffries. Meanwhile, look, if you wanted a

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<v Speaker 3>trade out there of those stocks, you might have had

0:10:47.080 --> 0:10:49.600
<v Speaker 3>a bit of a problem in earlier market hours. That

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<v Speaker 3>was at least the NASDAQX Dot Market Exchange now saying

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<v Speaker 3>it has resolved that technology glitch the disrupted pre market

0:10:55.880 --> 0:10:59.480
<v Speaker 3>trading in almost well three hours of time. Now the

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<v Speaker 3>NASDACS person that we spoke with, they said that they

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<v Speaker 3>issue did start shortly after four am, but it was

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<v Speaker 3>resolved around seven am. And the disruption was the second

0:11:07.679 --> 0:11:09.680
<v Speaker 3>at Nasdaq in about three months. But it must be

0:11:09.679 --> 0:11:12.040
<v Speaker 3>said they had These sorts of issues from the Nasdaq

0:11:12.240 --> 0:11:14.280
<v Speaker 3>are very few and far between. You can see the

0:11:14.320 --> 0:11:17.520
<v Speaker 3>impact of basically nothing going through the markets pre market

0:11:17.600 --> 0:11:19.040
<v Speaker 3>trading up until seven am.

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<v Speaker 5>Now coming up, we'll turn to nvideo.

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<v Speaker 3>What can we expect from the first day of the

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<v Speaker 3>Semiconductor Companies Annual Artificial Intelligence Conference?

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<v Speaker 5>It's called the woodstock of AI. We'll tell you why.

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<v Speaker 3>Meanwhile, look, maybe not many people are buying these ar

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<v Speaker 3>VR bits of hardware as have been inspected and Sony

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<v Speaker 3>we understand, still up two point two percent on the day,

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<v Speaker 3>but it's hit pause on its PlayStation VR two production.

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<v Speaker 5>Basically, it's got too much inventory. Needs to get rid

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<v Speaker 5>of it before.

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<v Speaker 3>It pumps out any more of these five hund and

0:11:50.360 --> 0:11:54.160
<v Speaker 3>fifty dollars wearable accessories from New York. This is Blue

0:11:54.160 --> 0:12:12.280
<v Speaker 3>Meade Technology. All eyes on Nvidia today. The Semiconductor Make

0:12:12.360 --> 0:12:16.280
<v Speaker 3>is GtC is an overall technology conference. Of course, it's

0:12:16.320 --> 0:12:19.160
<v Speaker 3>kicking off in San Jose today. Get this, some ten

0:12:19.240 --> 0:12:21.360
<v Speaker 3>thousand people are going to be watching live. We understand

0:12:21.440 --> 0:12:24.880
<v Speaker 3>last night it's twenty two million watched virtually. Those expectations

0:12:24.920 --> 0:12:27.000
<v Speaker 3>are high for a amount of people tuning in.

0:12:27.320 --> 0:12:28.800
<v Speaker 5>But what it means for this stock rally that you

0:12:28.840 --> 0:12:30.319
<v Speaker 5>can see two one and forty three.

0:12:30.200 --> 0:12:32.640
<v Speaker 3>Percent higher over the course of a year. That's bringing

0:12:32.640 --> 0:12:35.160
<v Speaker 3>Blue meg Intelligence analysts Content Savani for.

0:12:35.200 --> 0:12:36.160
<v Speaker 5>More on what to expect.

0:12:36.280 --> 0:12:39.079
<v Speaker 3>Is four pm Eastern where I sit one pm your

0:12:39.120 --> 0:12:40.600
<v Speaker 3>time over on the West coast.

0:12:41.080 --> 0:12:44.880
<v Speaker 5>What will we hear from Jensen do you think, Well, we.

0:12:44.880 --> 0:12:48.760
<v Speaker 9>Expect a few significant announcement that should sort of recharge

0:12:48.800 --> 0:12:51.360
<v Speaker 9>the already strong rally. First is the announcement of the

0:12:51.360 --> 0:12:53.840
<v Speaker 9>new B one hundred chip, which we believe will be

0:12:53.880 --> 0:12:57.000
<v Speaker 9>the first cold chip in a package product. And what

0:12:57.080 --> 0:13:00.240
<v Speaker 9>it's important is it should have a performance of rate

0:13:00.360 --> 0:13:02.480
<v Speaker 9>over H one hundreds of at least two x, but

0:13:02.559 --> 0:13:05.520
<v Speaker 9>we believe more sort of two point five x. Second,

0:13:05.520 --> 0:13:08.160
<v Speaker 9>would be sort of an upside on the TAM last

0:13:08.160 --> 0:13:11.080
<v Speaker 9>GtC that HAM was about a trillion, with three hundred

0:13:11.080 --> 0:13:13.760
<v Speaker 9>billion being the size for the market of the chips

0:13:13.760 --> 0:13:16.440
<v Speaker 9>and hardware. We think since then the estimates have kept

0:13:16.440 --> 0:13:19.480
<v Speaker 9>on rising and they are likely to announce a higher

0:13:19.559 --> 0:13:22.360
<v Speaker 9>number on the chips in the hardware section. And finally,

0:13:22.679 --> 0:13:25.480
<v Speaker 9>what we think would be an ideal update would be

0:13:25.600 --> 0:13:29.240
<v Speaker 9>a lot more clarity and visibility on their software business execution,

0:13:29.600 --> 0:13:32.520
<v Speaker 9>more importantly, the monetization and the revenue run.

0:13:32.440 --> 0:13:33.199
<v Speaker 7>Rate over there.

0:13:33.679 --> 0:13:36.960
<v Speaker 3>Okay, so you want a lot of transparency on pricing,

0:13:37.040 --> 0:13:39.320
<v Speaker 3>on speed on addressable market.

0:13:39.679 --> 0:13:40.520
<v Speaker 5>I'm interested on the.

0:13:40.440 --> 0:13:43.240
<v Speaker 3>Pricing side of things, just quickly, because when we are

0:13:43.280 --> 0:13:46.240
<v Speaker 3>seeing such iterations, when we are seeing such ability and

0:13:46.320 --> 0:13:49.000
<v Speaker 3>power being brought to the market, as in what you

0:13:49.080 --> 0:13:51.280
<v Speaker 3>insinuate with the B one hundred, are they going to

0:13:51.360 --> 0:13:52.720
<v Speaker 3>be able to charge a whole lot more for it?

0:13:54.120 --> 0:13:56.080
<v Speaker 9>They should be able to. I mean, look, two x

0:13:56.120 --> 0:13:59.920
<v Speaker 9>performance over the last is significant and it should help

0:14:00.080 --> 0:14:03.920
<v Speaker 9>them widen their technology performance gap even higher, so they

0:14:03.960 --> 0:14:06.360
<v Speaker 9>should be able to charge a lot more pricing with that.

0:14:07.320 --> 0:14:09.560
<v Speaker 5>Briefly, the risk for you, quj is it that we

0:14:09.600 --> 0:14:12.200
<v Speaker 5>don't get enough of these numbers? Is it that people's

0:14:12.200 --> 0:14:13.600
<v Speaker 5>expectations are too high going in?

0:14:14.640 --> 0:14:16.680
<v Speaker 9>Yeah, it's mainly the headline risk. I think in the

0:14:16.760 --> 0:14:20.360
<v Speaker 9>intermediary period, while the B one hundred starts ramping, you

0:14:20.720 --> 0:14:24.120
<v Speaker 9>know we're hearing the customers might think about should I

0:14:24.160 --> 0:14:26.720
<v Speaker 9>adopt let's say, in H two hundred right now or

0:14:26.760 --> 0:14:28.920
<v Speaker 9>wait for a B one hundred. So what that might

0:14:29.000 --> 0:14:32.280
<v Speaker 9>mean is sort of a lower magnitude of beaten raises

0:14:32.360 --> 0:14:35.760
<v Speaker 9>in the intermediary Also, the other thing to remember is

0:14:36.360 --> 0:14:39.280
<v Speaker 9>one hundred launches, it will be a new supply chain stack,

0:14:39.360 --> 0:14:43.440
<v Speaker 9>so it could be again supply constraint limiting Nvidia's ability

0:14:43.680 --> 0:14:47.920
<v Speaker 9>to again deliver higher beats and raiss.

0:14:46.920 --> 0:14:50.520
<v Speaker 3>Very importantly, put remeg Intelligence Analyst con Jient Savanni, thank

0:14:50.520 --> 0:14:52.360
<v Speaker 3>you so much, and let's talk about some of those

0:14:52.440 --> 0:14:55.000
<v Speaker 3>risks and opportunities a little bit more now when bring

0:14:55.000 --> 0:14:55.600
<v Speaker 3>in advisors.

0:14:55.600 --> 0:14:57.960
<v Speaker 5>Capital management partner and portfolio manager Joanne.

0:14:57.720 --> 0:15:00.160
<v Speaker 3>Feeney, and I feel as though this is something you've

0:15:00.200 --> 0:15:02.480
<v Speaker 3>mentioned time and time again. The supply side is the

0:15:02.480 --> 0:15:05.120
<v Speaker 3>issue here, not the demand side. And what are you

0:15:05.200 --> 0:15:07.640
<v Speaker 3>worried perhaps with a B one hundred and a supply

0:15:07.880 --> 0:15:10.920
<v Speaker 3>chain that has to be reampt even more there.

0:15:12.080 --> 0:15:13.960
<v Speaker 2>Yeah, it's certainly going to be a complicated process, but

0:15:14.080 --> 0:15:16.680
<v Speaker 2>Nvidia has been there before. The challenge now is really

0:15:16.720 --> 0:15:20.200
<v Speaker 2>on the packaging side, and it's been a constraint for

0:15:20.240 --> 0:15:23.000
<v Speaker 2>a while for them to get more chips out the door.

0:15:23.240 --> 0:15:24.720
<v Speaker 7>Now they're going to have more to work with.

0:15:24.760 --> 0:15:26.680
<v Speaker 2>They're going to have the old you know, H one hundred,

0:15:26.760 --> 0:15:29.200
<v Speaker 2>the H two hundred coming out this year, and then

0:15:29.240 --> 0:15:32.800
<v Speaker 2>the B one hundred. So I suspect that different sorts

0:15:32.800 --> 0:15:35.000
<v Speaker 2>of customers will get the different sorts of chips and

0:15:35.040 --> 0:15:38.160
<v Speaker 2>that will help ease their supply constraints. But that new

0:15:38.200 --> 0:15:39.920
<v Speaker 2>one that's going to ramp towards the end of the year,

0:15:39.960 --> 0:15:42.000
<v Speaker 2>it's probably going to be a twenty twenty five story

0:15:42.000 --> 0:15:44.240
<v Speaker 2>in terms of real numbers and by then we should

0:15:44.280 --> 0:15:46.760
<v Speaker 2>see the increase in packaging that's being made available now

0:15:46.800 --> 0:15:49.920
<v Speaker 2>by TSMC, by some of the specialty packaging companies, and

0:15:49.960 --> 0:15:53.400
<v Speaker 2>even by Intel, with whom Nvidia is going to work

0:15:53.440 --> 0:15:55.120
<v Speaker 2>for some of their advanced packaging needs.

0:15:55.800 --> 0:15:57.680
<v Speaker 3>This is what's so interesting about the space is its

0:15:57.680 --> 0:15:59.400
<v Speaker 3>one big front of me club as well as I

0:15:59.400 --> 0:16:01.720
<v Speaker 3>can work out intell and and Video sort of against

0:16:01.760 --> 0:16:02.400
<v Speaker 3>each other, but so.

0:16:02.400 --> 0:16:03.320
<v Speaker 5>Dependent on one another.

0:16:03.360 --> 0:16:06.400
<v Speaker 3>And when we then think about the demand side as well,

0:16:06.440 --> 0:16:07.000
<v Speaker 3>there's front of me.

0:16:07.080 --> 0:16:07.680
<v Speaker 5>Is there too the.

0:16:07.760 --> 0:16:11.000
<v Speaker 3>Story that Apple may be looking to Alphabet for its

0:16:11.200 --> 0:16:15.240
<v Speaker 3>generative AI applications, then the read across some analysts is well,

0:16:15.440 --> 0:16:18.640
<v Speaker 3>Alphabet starting to make its own chips. How much of

0:16:18.680 --> 0:16:23.200
<v Speaker 3>a concern is competition for Nvidia at the stage, Well,

0:16:23.240 --> 0:16:23.600
<v Speaker 3>I think.

0:16:23.480 --> 0:16:26.680
<v Speaker 2>It's a little bit early. But what they say this week,

0:16:26.720 --> 0:16:29.320
<v Speaker 2>and particularly what Jensen says later today, I think is

0:16:29.400 --> 0:16:33.200
<v Speaker 2>going to help frame people's expectations on the competition front.

0:16:33.240 --> 0:16:34.440
<v Speaker 7>And there's really two areas.

0:16:34.520 --> 0:16:38.960
<v Speaker 2>One the training side, which requires the absolute best possible

0:16:39.080 --> 0:16:43.280
<v Speaker 2>accelerator chips made by Nvidia, and then there's the inference side,

0:16:43.320 --> 0:16:46.800
<v Speaker 2>which is less computationally intensive. It's just where you ask

0:16:46.880 --> 0:16:49.440
<v Speaker 2>the question and it gets answered that competition is and

0:16:49.480 --> 0:16:51.800
<v Speaker 2>this is demanding, and that's where we're seeing more competition.

0:16:52.200 --> 0:16:54.440
<v Speaker 2>And clearly, you know, Google has its own chips that

0:16:54.480 --> 0:16:57.840
<v Speaker 2>they make in coordination with Broadcom, which is one of

0:16:57.840 --> 0:17:00.280
<v Speaker 2>the reasons why we continue to like Broadcom as a

0:17:00.280 --> 0:17:03.120
<v Speaker 2>as a stock pick here. And then you also have

0:17:03.120 --> 0:17:05.120
<v Speaker 2>a bunch of startups that are starting to get into

0:17:05.160 --> 0:17:08.440
<v Speaker 2>this space, whether they're private companies or older A six

0:17:08.800 --> 0:17:09.600
<v Speaker 2>sorts of companies.

0:17:09.640 --> 0:17:11.520
<v Speaker 7>So there's definitely going to be a lot of competition.

0:17:11.520 --> 0:17:14.119
<v Speaker 2>They're attracted by those high prices and high margins, but

0:17:14.119 --> 0:17:18.320
<v Speaker 2>it's no easy trick to build a very highly computationally

0:17:18.440 --> 0:17:20.720
<v Speaker 2>capable chip like the ones in video has worked out

0:17:20.760 --> 0:17:21.360
<v Speaker 2>for decades.

0:17:22.240 --> 0:17:24.800
<v Speaker 5>Let's just dig into the software side as well. And

0:17:24.920 --> 0:17:27.480
<v Speaker 5>you've talked about COUDA in particular over within video.

0:17:27.720 --> 0:17:30.399
<v Speaker 3>We were hitting from Kunjan saying, you know, where is

0:17:31.040 --> 0:17:35.960
<v Speaker 3>the ongoing growth and particularly from our revenue perspective of software,

0:17:35.960 --> 0:17:37.920
<v Speaker 3>Where are you seeing growth for video there?

0:17:39.160 --> 0:17:42.400
<v Speaker 2>Yeah, I think that the software side is, as we've

0:17:42.440 --> 0:17:44.879
<v Speaker 2>been learning, is going to become increasingly important. I mean,

0:17:44.880 --> 0:17:48.280
<v Speaker 2>the chips don't work in isolation, and the Kuda software

0:17:48.359 --> 0:17:51.159
<v Speaker 2>platform that Nvidia has had out there for you know,

0:17:51.280 --> 0:17:55.240
<v Speaker 2>along many many years, works tightly with their chips and

0:17:55.280 --> 0:17:58.919
<v Speaker 2>it makes it easier to run these models and to

0:17:59.359 --> 0:18:02.760
<v Speaker 2>basically build the code. The code is now trained on

0:18:02.880 --> 0:18:07.200
<v Speaker 2>you know, many many software programmers have grown up learning Kuda,

0:18:07.720 --> 0:18:10.720
<v Speaker 2>and so they have a huge advantage in the coordination

0:18:10.800 --> 0:18:13.360
<v Speaker 2>between the hardware and the software side. And we do

0:18:13.400 --> 0:18:16.040
<v Speaker 2>expect the software side to become a bigger driver of

0:18:16.119 --> 0:18:18.880
<v Speaker 2>revenues as they're really closely tied together. And that's why

0:18:18.920 --> 0:18:20.920
<v Speaker 2>we do think there's room a little bit of room

0:18:21.200 --> 0:18:24.320
<v Speaker 2>for a bit more margin over at in video. It's

0:18:24.400 --> 0:18:27.360
<v Speaker 2>one of the reasons that earnings have outpaced revenue growth

0:18:27.400 --> 0:18:29.159
<v Speaker 2>over the last four or five years, and we do

0:18:29.200 --> 0:18:31.040
<v Speaker 2>think it'll be able to push it a little bit

0:18:31.040 --> 0:18:32.560
<v Speaker 2>harder for the next couple of years.

0:18:32.680 --> 0:18:34.560
<v Speaker 3>I love how you dissect what basically the room and

0:18:34.560 --> 0:18:36.080
<v Speaker 3>developers are going to want to be hearing, and then

0:18:36.119 --> 0:18:37.920
<v Speaker 3>the room of investors on the back of what developers

0:18:37.960 --> 0:18:40.479
<v Speaker 3>are hearing, going do we wanting to be listening into margin?

0:18:40.840 --> 0:18:43.800
<v Speaker 5>I mean, tell us a little bit about where in video.

0:18:43.640 --> 0:18:45.960
<v Speaker 3>Sits in your portfolio, whether you add to at these levels,

0:18:45.960 --> 0:18:47.359
<v Speaker 3>whether you want to be going more broadly.

0:18:48.960 --> 0:18:50.720
<v Speaker 2>Yeah, so you know, we've held in video for a

0:18:50.760 --> 0:18:55.200
<v Speaker 2>while now. We've always liked the AI story. The role

0:18:55.240 --> 0:18:57.920
<v Speaker 2>of Nvidia in portfolio is really depends on the client. Right,

0:18:57.920 --> 0:19:01.159
<v Speaker 2>This is clearly a growth company. It's going to be

0:19:01.640 --> 0:19:05.000
<v Speaker 2>potentially more volatile than some other companies out there in

0:19:05.040 --> 0:19:07.760
<v Speaker 2>terms of its stock, so it's not suitable for everybody,

0:19:08.240 --> 0:19:10.280
<v Speaker 2>but we do see as a core holding in our

0:19:10.320 --> 0:19:13.199
<v Speaker 2>growth strategy. We do see the opportunity for it to

0:19:13.200 --> 0:19:16.200
<v Speaker 2>continue to grow. We see eighty percent revenue growth this year,

0:19:16.200 --> 0:19:18.120
<v Speaker 2>but that's really built on the fact that they hit

0:19:18.160 --> 0:19:20.119
<v Speaker 2>twenty two billion in revenues last quarter.

0:19:20.440 --> 0:19:22.280
<v Speaker 7>So you just run that forward, add a.

0:19:22.240 --> 0:19:24.840
<v Speaker 2>Little bit of sequential growth and you get to, you know,

0:19:24.920 --> 0:19:28.000
<v Speaker 2>over one hundred billion, one hundred and ten billion in revenue,

0:19:28.040 --> 0:19:31.000
<v Speaker 2>so you get eighty percent growth. But going forward, people

0:19:31.040 --> 0:19:33.159
<v Speaker 2>have to recognize that we're going to seem more like

0:19:33.400 --> 0:19:37.120
<v Speaker 2>twenty percent growth. Yeah, twenty five percent growth and.

0:19:37.119 --> 0:19:40.439
<v Speaker 5>At the moment still trading on forward p valuation of

0:19:40.560 --> 0:19:43.960
<v Speaker 5>thirty five times but market cap just what two and

0:19:44.000 --> 0:19:46.520
<v Speaker 5>a half trillion? Extraordinary the run we've seen.

0:19:46.600 --> 0:19:49.760
<v Speaker 3>Joanne Feoenie of Advisor's Capital Management, we thank you so much.

0:19:57.680 --> 0:19:57.880
<v Speaker 7>Time.

0:19:57.920 --> 0:19:58.760
<v Speaker 5>Now if for talking tech.

0:19:58.840 --> 0:20:03.240
<v Speaker 3>First up Intel backed semiconductor connectivity company that's the Steri Labs.

0:20:03.480 --> 0:20:05.119
<v Speaker 3>Let's raise the size of its ban ib here by

0:20:05.160 --> 0:20:07.960
<v Speaker 3>get there's twenty six percent. As the investor frenzy around

0:20:07.960 --> 0:20:10.600
<v Speaker 3>AI continues to rage. Now, according to an updated registration

0:20:10.640 --> 0:20:13.320
<v Speaker 3>statement that was filed with the SEC, the company and

0:20:13.359 --> 0:20:16.399
<v Speaker 3>its investors now planned sell nineteen point eight million shares

0:20:16.480 --> 0:20:17.640
<v Speaker 3>at thirty two to thirty.

0:20:17.400 --> 0:20:18.080
<v Speaker 5>Four dollars each.

0:20:18.240 --> 0:20:19.959
<v Speaker 3>That means the offering would raise as much as six

0:20:20.119 --> 0:20:23.680
<v Speaker 3>hundred and seventy three point two million dollars plus. A

0:20:23.800 --> 0:20:25.959
<v Speaker 3>barber has appointed a new head of its grocery arm

0:20:26.000 --> 0:20:28.880
<v Speaker 3>that's Freship Home, in the latest step for a broadery

0:20:28.920 --> 0:20:31.560
<v Speaker 3>structuring effort. Now, the CFO is going to replace the

0:20:31.560 --> 0:20:35.120
<v Speaker 3>company's founder a CEO a fresher pot. They will retire

0:20:35.160 --> 0:20:37.520
<v Speaker 3>but serve as a senior advisor to the company that's

0:20:37.560 --> 0:20:40.720
<v Speaker 3>a former founder. Of course, all of this according to sources,

0:20:41.080 --> 0:20:43.280
<v Speaker 3>and the EO is considering a form more review of

0:20:43.280 --> 0:20:47.280
<v Speaker 3>how widely businesses use mature or lower end chips from China. Look,

0:20:47.320 --> 0:20:49.600
<v Speaker 3>they're joining the United States and flagging a potential risk

0:20:49.720 --> 0:20:52.240
<v Speaker 3>to national security and of course global supply chains.

0:20:52.240 --> 0:20:52.879
<v Speaker 5>Now, according to a.

0:20:52.920 --> 0:20:56.040
<v Speaker 3>Draft working statement, the EU is weighing whether to investigate

0:20:56.080 --> 0:21:00.680
<v Speaker 3>how deeply such semiconductors are indeed embedded across industry networks.

0:21:01.119 --> 0:21:02.280
<v Speaker 5>Now coming up, we've got.

0:21:02.080 --> 0:21:04.680
<v Speaker 3>To get back to that crypto rise and slight pullback

0:21:04.720 --> 0:21:08.000
<v Speaker 3>of late dig into the markets with August co founder

0:21:08.200 --> 0:21:11.520
<v Speaker 3>Aya Cantorovich. Next up, let's look at what we're watching

0:21:11.520 --> 0:21:14.960
<v Speaker 3>in terms of those publicly traded companies, Cloud Flair, interesting

0:21:15.359 --> 0:21:18.560
<v Speaker 3>sort of revolving door here we've seen Stephanie Cohen. That

0:21:18.720 --> 0:21:20.760
<v Speaker 3>name will ring a bell because Shoe, of course was

0:21:20.960 --> 0:21:24.760
<v Speaker 3>the leader behind Marcus, the retail offering coming from Goldman Sachs.

0:21:24.760 --> 0:21:26.919
<v Speaker 3>And now she's the latest executive to step down from

0:21:26.960 --> 0:21:31.000
<v Speaker 3>that particular bank where she gone. Cloud Flair chief strategy

0:21:31.080 --> 0:21:36.760
<v Speaker 3>officer for Stephanie Cohene from New York. This is Bluebig Technology.

0:21:41.920 --> 0:21:44.159
<v Speaker 3>I'll come back to Blueberg Technology. I'm Caroline hired in

0:21:44.160 --> 0:21:44.439
<v Speaker 3>New York.

0:21:44.480 --> 0:21:45.760
<v Speaker 5>Let's get your check in on these markets.

0:21:45.800 --> 0:21:48.600
<v Speaker 3>And after a slight technology outage of its own over

0:21:48.640 --> 0:21:50.600
<v Speaker 3>at the NASDAK, we're back on track and we're actually

0:21:50.600 --> 0:21:52.679
<v Speaker 3>see the NASAQ one hundred up one and a half percent.

0:21:52.960 --> 0:21:55.840
<v Speaker 3>So after that pre market issue from a technical perspective

0:21:55.880 --> 0:21:57.680
<v Speaker 3>that stops on trading. We're now up one and a

0:21:57.720 --> 0:21:59.760
<v Speaker 3>half and it seems to be AI that's leading the charge.

0:21:59.760 --> 0:22:03.040
<v Speaker 3>The hopes of course within certain well the woodstock of AI.

0:22:03.040 --> 0:22:05.040
<v Speaker 3>A little bit later, Stock six six hundred though over

0:22:05.040 --> 0:22:07.800
<v Speaker 3>in Europe just finished trading and actually down some two

0:22:07.840 --> 0:22:09.879
<v Speaker 3>tens percent. So this sort of euphoria from AI not

0:22:09.920 --> 0:22:12.520
<v Speaker 3>being built in to what's happening globally in the stock

0:22:12.560 --> 0:22:15.119
<v Speaker 3>market today. And remember this is a big week for

0:22:15.359 --> 0:22:17.800
<v Speaker 3>the macro picture, particularly from central banks back of England,

0:22:17.840 --> 0:22:19.920
<v Speaker 3>back of Japan is coming tomorrow and of course the

0:22:20.040 --> 0:22:23.080
<v Speaker 3>Fed on Wednesday. We're looking at Bitcoin just lower versus

0:22:23.119 --> 0:22:24.959
<v Speaker 3>the US dollar, and in fact US dollar has been

0:22:25.000 --> 0:22:27.160
<v Speaker 3>higher against most of its G ten currency pairs. We're

0:22:27.160 --> 0:22:29.679
<v Speaker 3>off by another two percent, let's call it sixty six thousand,

0:22:29.920 --> 0:22:31.720
<v Speaker 3>nine hundred and seventy four. Get dig into that in

0:22:31.720 --> 0:22:33.600
<v Speaker 3>a moment. Move on though, and have a look at

0:22:33.600 --> 0:22:35.720
<v Speaker 3>some of the individual companies that we're looking at. And

0:22:35.760 --> 0:22:37.560
<v Speaker 3>I mean, this is the story of the day coming

0:22:37.560 --> 0:22:39.159
<v Speaker 3>from a scoop from our own Mark Gum, and we're

0:22:39.160 --> 0:22:41.560
<v Speaker 3>seeing Alphabet shares powering up almost seven percent.

0:22:41.640 --> 0:22:42.720
<v Speaker 5>Why because it looks as.

0:22:42.680 --> 0:22:44.919
<v Speaker 3>Though Apple are already in talks of them to be

0:22:45.040 --> 0:22:48.760
<v Speaker 3>using Gemini the generative AI part and offering from Alphabet

0:22:48.800 --> 0:22:52.199
<v Speaker 3>within the iPhones and iPhone ecosystem. But Apple, more broadly,

0:22:52.320 --> 0:22:54.040
<v Speaker 3>what does that mean for adoption? What does that mean

0:22:54.040 --> 0:22:57.280
<v Speaker 3>for its penetration and holding its overall market share when

0:22:57.280 --> 0:23:00.199
<v Speaker 3>it comes to search. I'm looking also what's happening with

0:23:00.200 --> 0:23:02.080
<v Speaker 3>Cisco one point two three percent higher?

0:23:02.160 --> 0:23:03.640
<v Speaker 5>Why because finally the.

0:23:03.640 --> 0:23:05.760
<v Speaker 3>Deal is done with Splunk and I actually want to

0:23:05.800 --> 0:23:08.520
<v Speaker 3>stick with that very news because the CEO Chuck Robbins

0:23:08.760 --> 0:23:12.040
<v Speaker 3>and the former now Splunk CEO Gary Steel join Bloomberg

0:23:12.080 --> 0:23:16.480
<v Speaker 3>earlier today, need to discuss how this Splunk iteration fitting

0:23:16.520 --> 0:23:19.320
<v Speaker 3>in within Cisco's product and financial strategy is going to

0:23:19.359 --> 0:23:19.800
<v Speaker 3>continue to.

0:23:19.760 --> 0:23:20.240
<v Speaker 5>Take a listen.

0:23:21.200 --> 0:23:26.360
<v Speaker 10>There's an emerging area called observability, which is effectively trying

0:23:26.400 --> 0:23:31.720
<v Speaker 10>to help our customers understand application performance, what's going on

0:23:31.760 --> 0:23:35.520
<v Speaker 10>in their technology infrastructure, particularly in this world where you

0:23:35.600 --> 0:23:40.480
<v Speaker 10>have hybrid cloud, multi cloud, private cloud SaaS and so

0:23:41.160 --> 0:23:43.200
<v Speaker 10>that's one big area, and then the other big area

0:23:43.240 --> 0:23:47.760
<v Speaker 10>of cybersecurity. If you think about the utilization of AI

0:23:48.440 --> 0:23:51.600
<v Speaker 10>by the bad actors, we're going to have to do

0:23:51.640 --> 0:23:54.960
<v Speaker 10>a better job of doing real time analytics, in real

0:23:54.960 --> 0:23:58.040
<v Speaker 10>time detection and response, and in my view, we have

0:23:58.119 --> 0:24:00.560
<v Speaker 10>to be able to take three or four different things

0:24:00.560 --> 0:24:02.920
<v Speaker 10>that we're seeing happening at the same time, and those

0:24:02.960 --> 0:24:05.800
<v Speaker 10>three or four independently might not indicate a problem, but

0:24:05.840 --> 0:24:09.800
<v Speaker 10>together there's a problem. And their data platform with our

0:24:09.840 --> 0:24:12.880
<v Speaker 10>detection response capabilities and all of our endpoints and all

0:24:12.920 --> 0:24:15.000
<v Speaker 10>of the sources of threat intelligence. So we have in

0:24:15.359 --> 0:24:18.320
<v Speaker 10>our massive amount of intel that we see on a

0:24:18.400 --> 0:24:21.679
<v Speaker 10>daily basis, we think brings our customers the ability to

0:24:21.680 --> 0:24:23.000
<v Speaker 10>actually do that in real time.

0:24:23.520 --> 0:24:25.200
<v Speaker 11>And of course when you talk to the cell side,

0:24:25.200 --> 0:24:27.479
<v Speaker 11>there's also this narrative out there that you're trying to

0:24:27.480 --> 0:24:30.800
<v Speaker 11>remake Cisco as a provider of networking services and really

0:24:30.800 --> 0:24:34.440
<v Speaker 11>trying to lessen your reliance on one time sales of equipment.

0:24:34.520 --> 0:24:36.760
<v Speaker 11>How do you see this deal as really pushing that

0:24:36.840 --> 0:24:37.520
<v Speaker 11>effort forward.

0:24:37.800 --> 0:24:39.000
<v Speaker 10>Well, that's an accurate narrative.

0:24:39.520 --> 0:24:40.359
<v Speaker 8>So we.

0:24:41.840 --> 0:24:44.960
<v Speaker 10>Have been moving into more software. So I think the

0:24:45.000 --> 0:24:46.960
<v Speaker 10>three metrics I would share is at last quarter we

0:24:47.080 --> 0:24:49.200
<v Speaker 10>hit a milestone that we had set to try to

0:24:49.200 --> 0:24:51.800
<v Speaker 10>get to fifty percent of our revenue coming from recurring revenue,

0:24:51.800 --> 0:24:54.000
<v Speaker 10>and we did that last quarter, which is a big

0:24:54.040 --> 0:24:57.040
<v Speaker 10>move from eight years ago. The other thing is combined,

0:24:57.160 --> 0:24:59.560
<v Speaker 10>Geary and the team bring four point two billion of

0:24:59.720 --> 0:25:01.680
<v Speaker 10>ar run in mid teams.

0:25:01.359 --> 0:25:02.960
<v Speaker 12>Fifteen percent as of the climes at the end of

0:25:03.000 --> 0:25:03.600
<v Speaker 12>the year.

0:25:03.400 --> 0:25:08.040
<v Speaker 10>And combined we have arr now of almost twenty nine billion,

0:25:09.480 --> 0:25:13.159
<v Speaker 10>and we're over twenty billion from just software sales in

0:25:13.200 --> 0:25:16.560
<v Speaker 10>the company now, which is when we add splung software

0:25:16.560 --> 0:25:17.960
<v Speaker 10>sales to it. So I think we've made a lot

0:25:17.960 --> 0:25:19.679
<v Speaker 10>of progress and we're going to continue marching down that

0:25:19.720 --> 0:25:20.720
<v Speaker 10>path well.

0:25:20.560 --> 0:25:23.320
<v Speaker 11>As this integration goes forward. Of course, both of your

0:25:23.320 --> 0:25:26.480
<v Speaker 11>companies have announced layoffs in the recent months. As you

0:25:26.880 --> 0:25:29.280
<v Speaker 11>integrate these two, would you expect to be there to

0:25:29.400 --> 0:25:31.200
<v Speaker 11>be further headcount reductions.

0:25:31.400 --> 0:25:34.440
<v Speaker 10>This still was not predicated on cost synergies at all.

0:25:35.040 --> 0:25:37.320
<v Speaker 10>It was built on revenue synergy. So it was built

0:25:37.359 --> 0:25:39.560
<v Speaker 10>on the integration that we talked about and the new

0:25:39.600 --> 0:25:42.880
<v Speaker 10>capabilities that we can bring to our customers. So that

0:25:42.960 --> 0:25:45.280
<v Speaker 10>was never part of our plan as we were putting

0:25:45.280 --> 0:25:46.359
<v Speaker 10>the integration plan together.

0:25:47.520 --> 0:25:50.000
<v Speaker 11>And of course you had mentioned chat that when it

0:25:50.040 --> 0:25:53.679
<v Speaker 11>comes to AI there's a concern and uptick and that

0:25:53.760 --> 0:25:56.439
<v Speaker 11>being harnessed by bad actors and Gary I'm curious what

0:25:56.480 --> 0:25:59.160
<v Speaker 11>you're seeing in your data when it comes to these

0:25:59.240 --> 0:26:01.120
<v Speaker 11>AI side for security attacks.

0:26:01.200 --> 0:26:05.560
<v Speaker 12>You've just seen more sophisticated attacks, whether they're specifically target attacks,

0:26:05.560 --> 0:26:10.560
<v Speaker 12>phishing attacks, we're just seeing more sophistication and it's a

0:26:10.600 --> 0:26:14.520
<v Speaker 12>new set of tools that bad actors can drive more

0:26:14.760 --> 0:26:17.639
<v Speaker 12>and more sophisticated attacks. And we feel very good about

0:26:17.640 --> 0:26:19.800
<v Speaker 12>coming together and the work that we can do collectively

0:26:20.280 --> 0:26:23.040
<v Speaker 12>driving great outcomes through the use of AI to ensure

0:26:23.080 --> 0:26:25.040
<v Speaker 12>that our enterprise customers are well protected.

0:26:25.480 --> 0:26:28.920
<v Speaker 10>If I could add real quickly, we have an organization

0:26:28.960 --> 0:26:31.640
<v Speaker 10>called Tellos that sees about twenty billion threats a day,

0:26:32.600 --> 0:26:34.560
<v Speaker 10>and so one of the things that we believe we

0:26:34.600 --> 0:26:38.080
<v Speaker 10>can do is take that all of that intelligence and

0:26:38.240 --> 0:26:41.520
<v Speaker 10>inject it into the data platform that they provide customers

0:26:41.520 --> 0:26:43.600
<v Speaker 10>and give them a whole new level of real time

0:26:43.680 --> 0:26:46.879
<v Speaker 10>visibility that they've never had before. So it's pretty exciting.

0:26:48.000 --> 0:26:50.840
<v Speaker 5>Nature of AI future of their relationship. CEO Chuck Robbins,

0:26:50.920 --> 0:26:54.360
<v Speaker 5>the Cisco, of course, the formers Plunk CEO now part

0:26:54.400 --> 0:26:57.840
<v Speaker 5>of the business, Gary Steele. Now let's pivot away for

0:26:57.880 --> 0:27:00.760
<v Speaker 5>a moment and talk all things crypto. We just got

0:27:00.760 --> 0:27:02.680
<v Speaker 5>to talk the numbers involved.

0:27:02.359 --> 0:27:05.399
<v Speaker 3>Investors adding get this, eight point one two billion dollars

0:27:05.440 --> 0:27:08.080
<v Speaker 3>to crypto focused exchange train of products during the past

0:27:08.080 --> 0:27:08.679
<v Speaker 3>month alone.

0:27:08.960 --> 0:27:10.360
<v Speaker 5>Fifteen point five billion in.

0:27:10.320 --> 0:27:13.480
<v Speaker 3>Fact, has been added to these ETFs in the past year,

0:27:13.960 --> 0:27:16.440
<v Speaker 3>all according to day To compiled by Bloomberg. Let's get

0:27:16.480 --> 0:27:18.359
<v Speaker 3>up to speed with why therefore some of the share

0:27:18.480 --> 0:27:20.960
<v Speaker 3>well not shares, why crypto has pulled back in terms

0:27:20.960 --> 0:27:23.520
<v Speaker 3>of our price point as as August co founder and

0:27:23.680 --> 0:27:27.400
<v Speaker 3>co CEO Aya Kantorovich for more and look, the hype

0:27:27.520 --> 0:27:29.399
<v Speaker 3>has been real, but the flows have been real, and

0:27:29.400 --> 0:27:30.200
<v Speaker 3>now we pull back.

0:27:30.280 --> 0:27:33.399
<v Speaker 5>Any reason why, I absolutely so.

0:27:33.520 --> 0:27:36.920
<v Speaker 1>We did see, as you mentioned, a height of some

0:27:37.080 --> 0:27:40.040
<v Speaker 1>new two thousand dollars reached last week and so we

0:27:40.680 --> 0:27:43.879
<v Speaker 1>did finally clear the sixty nine thousand level.

0:27:44.040 --> 0:27:45.919
<v Speaker 7>And what we are hearing.

0:27:45.720 --> 0:27:49.800
<v Speaker 1>Is a rumor that that led to the BTC crash

0:27:49.840 --> 0:27:52.080
<v Speaker 1>going into the weekend, and so we went from sey

0:27:52.200 --> 0:27:55.639
<v Speaker 1>two thousand down to sixty five point five. And the

0:27:55.720 --> 0:27:57.720
<v Speaker 1>rumor is that there was a fun blowing out roughly

0:27:57.760 --> 0:28:01.879
<v Speaker 1>a billion dollars of the micro strategy BDC spread trade,

0:28:01.920 --> 0:28:04.640
<v Speaker 1>and so this hedge fund set up a spread trade

0:28:05.080 --> 0:28:09.080
<v Speaker 1>that shortly before the ETF approval considering that they were

0:28:09.119 --> 0:28:12.000
<v Speaker 1>long BTC, they were short micro Strategy, and the idea

0:28:12.040 --> 0:28:14.080
<v Speaker 1>behind it was that micro Strategy was going to fall

0:28:14.720 --> 0:28:16.720
<v Speaker 1>once the ETF was approved and BTC is going to

0:28:16.760 --> 0:28:19.600
<v Speaker 1>a rise. However, as you'll see in the market, that

0:28:20.160 --> 0:28:25.160
<v Speaker 1>MicroStrategy actually outperformed Bitcoin and so it necessitated them unwinding

0:28:25.200 --> 0:28:28.679
<v Speaker 1>the trade and closing the position. Into the weekend, you

0:28:28.720 --> 0:28:31.840
<v Speaker 1>saw BDC dump as well as micro Strategy premium go

0:28:32.000 --> 0:28:36.080
<v Speaker 1>high and a mini rally. There, so a lot of

0:28:36.119 --> 0:28:39.000
<v Speaker 1>market activity and that's really the rumor going into why.

0:28:39.160 --> 0:28:42.320
<v Speaker 3>Okay, some rumors that we will check in on, make

0:28:42.360 --> 0:28:44.360
<v Speaker 3>sure that we'll look around as to who this fund

0:28:44.400 --> 0:28:47.760
<v Speaker 3>is and a MicroStrategy price currently at sixteen forty one,

0:28:47.840 --> 0:28:49.680
<v Speaker 3>so down a little bit from its heights of the

0:28:49.720 --> 0:28:50.440
<v Speaker 3>previous week.

0:28:51.120 --> 0:28:52.320
<v Speaker 5>When we move away from.

0:28:52.240 --> 0:28:54.200
<v Speaker 3>Rumors and look at fact at the moment, though, I

0:28:54.720 --> 0:28:57.600
<v Speaker 3>what's factual is that Bitcoin has done well, but actually

0:28:57.640 --> 0:28:59.960
<v Speaker 3>so has the entire ecosystem, and you're not just see

0:29:00.160 --> 0:29:02.840
<v Speaker 3>eth do well. And there's many a rumor perhaps around

0:29:02.880 --> 0:29:06.440
<v Speaker 3>the future ETF spot ETF for ETH in the US too,

0:29:06.760 --> 0:29:09.280
<v Speaker 3>but just broadly like mean, coin's going well, but so

0:29:09.560 --> 0:29:12.280
<v Speaker 3>some really you know, well, loved protocols such as Solana

0:29:12.720 --> 0:29:14.240
<v Speaker 3>are all boat It's gonna keep rising.

0:29:16.040 --> 0:29:18.960
<v Speaker 1>I think right now what you're seeing, especially with Solana,

0:29:19.120 --> 0:29:21.720
<v Speaker 1>is with regards to the mean coin trend. And I

0:29:21.760 --> 0:29:25.000
<v Speaker 1>want to anchor on this because we're really seeing Solana

0:29:25.000 --> 0:29:28.000
<v Speaker 1>look like Ethereum in the twenty seventeen Ico bubble. You're

0:29:28.040 --> 0:29:31.560
<v Speaker 1>seeing mean coins come out with the pre sales that

0:29:31.640 --> 0:29:35.320
<v Speaker 1>look very much like Ico pre sales. You're seeing that

0:29:35.440 --> 0:29:39.240
<v Speaker 1>the Solana ecosystem has so much activity. Soul eth ratio

0:29:39.320 --> 0:29:41.400
<v Speaker 1>is at an all time high right now, and Solana

0:29:41.440 --> 0:29:45.480
<v Speaker 1>has also overtaken Ethereum on Google trends. You're also seeing

0:29:45.560 --> 0:29:48.160
<v Speaker 1>a lot of this activity happen outside of the US.

0:29:48.680 --> 0:29:51.560
<v Speaker 1>So for example, robin Hood Europe listed a couple of

0:29:51.600 --> 0:29:55.280
<v Speaker 1>mean coins as well on their platform, and so you know,

0:29:55.560 --> 0:29:59.160
<v Speaker 1>to your point, rising tidelifts of all boats, but there

0:29:59.200 --> 0:30:02.200
<v Speaker 1>certainly are boat boes that are rising much faster than others,

0:30:02.480 --> 0:30:05.080
<v Speaker 1>and especially with the correction that happened into the weekend,

0:30:05.320 --> 0:30:08.640
<v Speaker 1>Solana was very much unfazed by that, and so it's

0:30:08.720 --> 0:30:12.560
<v Speaker 1>very interesting to watch as well, and to your point,

0:30:12.720 --> 0:30:16.320
<v Speaker 1>a lot of eyes on ethereum going into a potential etf.

0:30:15.960 --> 0:30:19.400
<v Speaker 5>Approval the main coin craze.

0:30:20.280 --> 0:30:23.880
<v Speaker 3>How much is that actually being jumped upon by institution investors,

0:30:23.920 --> 0:30:28.160
<v Speaker 3>by crypto ogs who understand that perhaps the fundamentals on

0:30:28.280 --> 0:30:32.479
<v Speaker 3>a basis of this, but this is a value creation

0:30:33.040 --> 0:30:34.240
<v Speaker 3>like we haven't seen before.

0:30:36.440 --> 0:30:38.280
<v Speaker 5>It's going to be very much retail driven.

0:30:38.400 --> 0:30:40.320
<v Speaker 1>And you know, the way I think about it is

0:30:40.400 --> 0:30:43.680
<v Speaker 1>very much a sense of community and engagement. And we

0:30:43.720 --> 0:30:46.440
<v Speaker 1>saw a lot of this happen with Reddit and the

0:30:46.480 --> 0:30:49.840
<v Speaker 1>Reddit community when you had GameStop on robin Hood, you

0:30:49.880 --> 0:30:51.200
<v Speaker 1>had your robin Hood traders.

0:30:51.480 --> 0:30:52.280
<v Speaker 5>And again you're.

0:30:52.160 --> 0:30:56.560
<v Speaker 1>Seeing just absolute insane engagement on Reddit, which is going

0:30:56.600 --> 0:30:58.760
<v Speaker 1>to be very interesting for them going into their IPO,

0:30:59.560 --> 0:31:03.760
<v Speaker 1>and also engagement on Twitter around just people building communities.

0:31:03.760 --> 0:31:07.080
<v Speaker 1>So you saw, you know, David Sachs for example, launch

0:31:07.120 --> 0:31:09.120
<v Speaker 1>his own meme coin. You saw something called the Book

0:31:09.120 --> 0:31:13.240
<v Speaker 1>of Meme which has performed tremendously. Obviously, Elon Musk is

0:31:13.280 --> 0:31:17.160
<v Speaker 1>continuing to push dogecoin, and you saw dog with hat

0:31:17.640 --> 0:31:21.120
<v Speaker 1>as well. These are all just very large communities of

0:31:21.200 --> 0:31:24.440
<v Speaker 1>folks who you know, are engaging and can find a

0:31:24.440 --> 0:31:27.960
<v Speaker 1>way to engage in the markets on Solona today primarily,

0:31:28.040 --> 0:31:30.400
<v Speaker 1>which is where they're being pushed but it is very

0:31:30.520 --> 0:31:33.320
<v Speaker 1>very much retail driven. I would say there's very few

0:31:33.320 --> 0:31:38.280
<v Speaker 1>institutions who see perhaps the value accrule here long term

0:31:38.320 --> 0:31:40.520
<v Speaker 1>as opposed to just trading in and out of these

0:31:40.560 --> 0:31:41.960
<v Speaker 1>tokens as well.

0:31:42.120 --> 0:31:44.960
<v Speaker 3>This is just an extremely online community wanting to show

0:31:45.040 --> 0:31:48.800
<v Speaker 3>that love. But what therefore of more broadly, going back

0:31:48.840 --> 0:31:52.000
<v Speaker 3>to where institutional money is bitcoin is some of the

0:31:52.040 --> 0:31:53.840
<v Speaker 3>more outstanding protocols.

0:31:54.320 --> 0:31:55.800
<v Speaker 5>Are we seeing leverage back?

0:31:55.840 --> 0:31:57.560
<v Speaker 3>That would seem to be something that we're being flagged

0:31:57.560 --> 0:31:59.240
<v Speaker 3>at the end of last week that maybe the poll

0:31:59.280 --> 0:32:01.600
<v Speaker 3>pack is because we'd just go to heady again.

0:32:03.040 --> 0:32:05.560
<v Speaker 1>Yeah, we are seeing leverage back, but what is really

0:32:05.640 --> 0:32:07.960
<v Speaker 1>nice is that we saw the funding reset into the

0:32:07.960 --> 0:32:10.440
<v Speaker 1>weekend and so funding went from roughly eighty percent to

0:32:10.480 --> 0:32:13.360
<v Speaker 1>twenty percent, which leaves us in a really healthy spot

0:32:13.440 --> 0:32:13.920
<v Speaker 1>right now for.

0:32:13.920 --> 0:32:14.760
<v Speaker 7>Us to move forward.

0:32:14.800 --> 0:32:17.440
<v Speaker 1>Obviously, to your point, as you mentioned, when the funding

0:32:17.480 --> 0:32:19.760
<v Speaker 1>does go out of hand, we tend to see pretty

0:32:19.840 --> 0:32:23.760
<v Speaker 1>volatile moves, and I will just really emphasize that liquidity

0:32:24.120 --> 0:32:27.240
<v Speaker 1>on exchanges is very very thin. This is some of

0:32:27.240 --> 0:32:30.040
<v Speaker 1>the thinnest liquidity that we've seen, as you are seeing

0:32:30.080 --> 0:32:34.040
<v Speaker 1>people hoddle or hold their bitcoin and so you're seeing

0:32:34.320 --> 0:32:37.920
<v Speaker 1>very you know, very big market price moves and market

0:32:37.960 --> 0:32:41.160
<v Speaker 1>moves because of that thin liquidity, and at large the

0:32:41.200 --> 0:32:43.840
<v Speaker 1>technology is building. I mean, I will say, you know,

0:32:44.160 --> 0:32:46.880
<v Speaker 1>outside of the mean coins Ethereum did have an upgrade

0:32:46.920 --> 0:32:51.080
<v Speaker 1>last week, which meant that transaction costs on Layer two

0:32:51.280 --> 0:32:54.160
<v Speaker 1>roll ups built on Ethereum are now lower. So you're

0:32:54.200 --> 0:32:56.600
<v Speaker 1>getting a lot of updates, a lot of really interesting

0:32:56.640 --> 0:32:59.160
<v Speaker 1>technology that's being pushed over the last few weeks. That

0:32:59.280 --> 0:33:02.720
<v Speaker 1>is very focused on the institutional volume coming in across

0:33:02.760 --> 0:33:05.360
<v Speaker 1>the top ten majors, and so we're excited to keep

0:33:05.360 --> 0:33:06.480
<v Speaker 1>an eye on that. Well.

0:33:06.600 --> 0:33:09.440
<v Speaker 5>Thanks akeeping our eyes on it. We thank you, August

0:33:09.440 --> 0:33:12.360
<v Speaker 5>co founder and co CEO Ia Kanorovich. Stay well.

0:33:12.600 --> 0:33:14.760
<v Speaker 3>Meanwhile, coming up, we're going to have more of the

0:33:14.880 --> 0:33:18.520
<v Speaker 3>focus and other parts of the technology ecosystem startups in particular,

0:33:18.600 --> 0:33:21.200
<v Speaker 3>Indexpensures is out with a new book for rapidly scaling

0:33:21.200 --> 0:33:24.600
<v Speaker 3>companies or on that next with Indexpensures my partner Martin

0:33:24.680 --> 0:33:27.120
<v Speaker 3>Migno Mina. Meanwhile, let's have a quick look at some

0:33:27.200 --> 0:33:30.000
<v Speaker 3>of the public trading companies for a moment. FedEx Amazon,

0:33:30.720 --> 0:33:33.080
<v Speaker 3>They're only up about three ten percent. Look, FedEx has

0:33:33.120 --> 0:33:35.720
<v Speaker 3>its earnings coming out later this week. An interesting report

0:33:35.760 --> 0:33:37.959
<v Speaker 3>coming from the Wall Street Journal. But FedEx and Amazon

0:33:37.960 --> 0:33:41.640
<v Speaker 3>are and d discussing a partnership at as of course,

0:33:41.680 --> 0:33:45.880
<v Speaker 3>the competition perhaps is returning for package and overall deliveries.

0:33:45.920 --> 0:33:48.840
<v Speaker 3>We knew that the two companies last year discussed apparently

0:33:48.840 --> 0:33:53.720
<v Speaker 3>FedEx accepting returns of Amazon packages at its retail locations

0:33:54.600 --> 0:33:55.240
<v Speaker 3>from New York.

0:33:55.520 --> 0:34:14.320
<v Speaker 5>This is Bloomberg Technology.

0:34:09.960 --> 0:34:12.320
<v Speaker 3>Today in Theex Ventures well, it's launching a new book

0:34:12.360 --> 0:34:14.480
<v Speaker 3>and mapp of course for its own founders.

0:34:14.760 --> 0:34:16.520
<v Speaker 5>Book is called Scaling.

0:34:16.160 --> 0:34:18.799
<v Speaker 3>Through Chaos, The Founder's Guide to Navigating a New Era

0:34:19.239 --> 0:34:22.400
<v Speaker 3>of Innovation. It it explores the challenges of designing a

0:34:22.480 --> 0:34:25.680
<v Speaker 3>rapidly scaling organization, investing in leadership, and so much more.

0:34:25.920 --> 0:34:28.320
<v Speaker 3>Joining us to break it all down, Index Ventures partner

0:34:28.400 --> 0:34:30.719
<v Speaker 3>Martin Mignore and it's great to have you here. You'

0:34:30.719 --> 0:34:33.080
<v Speaker 3>of course moved from Europe to New York. You've been

0:34:33.120 --> 0:34:35.440
<v Speaker 3>setting up more of a hub here. And I'm interested

0:34:35.480 --> 0:34:39.799
<v Speaker 3>as to why founders need a blueprint because almost the

0:34:39.840 --> 0:34:42.480
<v Speaker 3>whole idea of startups is that they're unprecedent and never

0:34:42.480 --> 0:34:44.160
<v Speaker 3>seen before, totally new.

0:34:44.960 --> 0:34:47.680
<v Speaker 13>Yeah, so maybe taking a step back so inexpensure US

0:34:47.760 --> 0:34:50.480
<v Speaker 13>is launching a new set of resources, as you mentioned,

0:34:50.520 --> 0:34:53.400
<v Speaker 13>for founders to help them scale from zero to one

0:34:53.440 --> 0:34:57.319
<v Speaker 13>thousand employees. And we call it scaling through chaos precisely

0:34:57.480 --> 0:35:00.480
<v Speaker 13>to reflect the nature of the beast is. You know,

0:35:00.480 --> 0:35:03.320
<v Speaker 13>it is challenging and there's a lot of uncertainty. This

0:35:03.440 --> 0:35:06.319
<v Speaker 13>is the most in depth research on the topic. We

0:35:06.480 --> 0:35:09.960
<v Speaker 13>analyzed more than two hundred of the fastest growing companies

0:35:09.960 --> 0:35:13.719
<v Speaker 13>of the past decade, companies like Uber, Airbnb, id and

0:35:13.880 --> 0:35:17.879
<v Speaker 13>Data Dog, and we also interviewed more than sixty founders

0:35:17.920 --> 0:35:20.160
<v Speaker 13>and top operators from these companies to kind of bring

0:35:20.200 --> 0:35:22.960
<v Speaker 13>the data to life. And the result is the book

0:35:23.480 --> 0:35:26.560
<v Speaker 13>the Blueprint that you mentioned, throunded pages, an absolute page

0:35:26.560 --> 0:35:31.080
<v Speaker 13>turner I can guarantee, and a companion app called team Plan,

0:35:31.200 --> 0:35:35.320
<v Speaker 13>which is all available for free to everyone on scalingthroughkes

0:35:35.440 --> 0:35:37.080
<v Speaker 13>dot com.

0:35:37.880 --> 0:35:40.600
<v Speaker 3>But having a business of any sort is chaotic at least,

0:35:40.640 --> 0:35:43.680
<v Speaker 3>and then you throw in sort of huge valuations purchases

0:35:43.719 --> 0:35:45.719
<v Speaker 3>not purchasing. I think a Figma, of course, is one

0:35:45.760 --> 0:35:48.399
<v Speaker 3>of the companies that you backed in an extraordinary jurnel

0:35:48.440 --> 0:35:50.760
<v Speaker 3>that Dylan has been on and having to now continue

0:35:50.800 --> 0:35:52.759
<v Speaker 3>to build no matter what, even when you think you've

0:35:52.760 --> 0:35:55.080
<v Speaker 3>got a massive deal on the table. What were some

0:35:55.120 --> 0:35:58.640
<v Speaker 3>of the most surprising things you heard from the founders.

0:35:58.960 --> 0:35:59.840
<v Speaker 5>Yeah, well they are.

0:36:00.239 --> 0:36:02.520
<v Speaker 13>You know, it's a lot of pages, a lot of findings,

0:36:02.520 --> 0:36:06.480
<v Speaker 13>but the three that really resonated with us. I would

0:36:06.560 --> 0:36:10.240
<v Speaker 13>say the first one is the time spent on people

0:36:10.360 --> 0:36:13.920
<v Speaker 13>related matters. It sounds obvious, but we quantified it in

0:36:14.200 --> 0:36:16.960
<v Speaker 13>the book. And what's interesting is that across stages, so

0:36:17.000 --> 0:36:19.960
<v Speaker 13>from zero to a thousand employees, it stays relatively constant

0:36:20.000 --> 0:36:22.640
<v Speaker 13>at about fifty percent of the time of founders. And

0:36:22.680 --> 0:36:25.040
<v Speaker 13>it's quite surprising for founders. Very often we think that

0:36:25.280 --> 0:36:27.120
<v Speaker 13>the people a really matters is a bit of a

0:36:27.239 --> 0:36:28.000
<v Speaker 13>tax on that time.

0:36:28.239 --> 0:36:29.400
<v Speaker 5>While it's not, it's.

0:36:29.280 --> 0:36:32.279
<v Speaker 13>The main thing. The nature of the time you spend

0:36:32.320 --> 0:36:34.120
<v Speaker 13>is a bit different. In the early days, it's mostly

0:36:34.120 --> 0:36:37.719
<v Speaker 13>about hiring and onboarding employees. Later on it's more aligning

0:36:37.760 --> 0:36:43.120
<v Speaker 13>people and running the team, but that amount is pretty constant.

0:36:43.160 --> 0:36:46.920
<v Speaker 13>The second finding that we thought was really telling was

0:36:46.960 --> 0:36:51.880
<v Speaker 13>the importance of emphasizing performance over loyalty. One of the

0:36:51.880 --> 0:36:55.640
<v Speaker 13>findings of the book is that by size fifty, only

0:36:55.719 --> 0:36:58.520
<v Speaker 13>five of the first ten employees are still with the business,

0:36:58.960 --> 0:37:01.600
<v Speaker 13>and when the company reached is one thousand employees only

0:37:01.640 --> 0:37:04.719
<v Speaker 13>two or three, which means it's not a failure. It

0:37:04.800 --> 0:37:06.480
<v Speaker 13>is a nature of the beast. It is, you know,

0:37:07.040 --> 0:37:09.879
<v Speaker 13>this is a natural life cycle of a startup. It's

0:37:09.960 --> 0:37:14.480
<v Speaker 13>very important for founders to realize that and almost embrace it,

0:37:14.560 --> 0:37:16.520
<v Speaker 13>realize that this is part of the journey. And the

0:37:16.560 --> 0:37:20.279
<v Speaker 13>third one is embracing chaos. More generally, these company is

0:37:20.280 --> 0:37:22.480
<v Speaker 13>on average or growing more.

0:37:22.320 --> 0:37:22.960
<v Speaker 9>Than two x.

0:37:23.000 --> 0:37:25.560
<v Speaker 13>You're on your for four to five years. So at

0:37:25.600 --> 0:37:29.239
<v Speaker 13>any given time when those first five foundational years, but

0:37:29.360 --> 0:37:31.440
<v Speaker 13>then half of the team will be new to the business.

0:37:31.719 --> 0:37:35.520
<v Speaker 13>So there is an inherent level of chaos and uncertainty

0:37:35.560 --> 0:37:40.480
<v Speaker 13>that wally happen, and you can't tame it entirely. So

0:37:40.560 --> 0:37:43.399
<v Speaker 13>you have to learn to live with it, grow with it,

0:37:43.600 --> 0:37:47.320
<v Speaker 13>and bring processes progressively. And that's what this book and

0:37:47.480 --> 0:37:50.719
<v Speaker 13>the app is hopefully helping will be helping founders.

0:37:50.400 --> 0:37:52.560
<v Speaker 3>To do and look, maybe use the chaos your advantage.

0:37:52.560 --> 0:37:54.719
<v Speaker 3>And what's interesting is it's called navigating a new era

0:37:54.840 --> 0:37:56.839
<v Speaker 3>and innovation, And boy do we keep going on about

0:37:56.840 --> 0:38:00.080
<v Speaker 3>the new era of AI. And I'm interested whether how

0:38:00.160 --> 0:38:02.239
<v Speaker 3>much that changes the game. When I think of HR,

0:38:02.320 --> 0:38:04.160
<v Speaker 3>when I think of hiring. I suddenly think, well, is

0:38:04.200 --> 0:38:06.440
<v Speaker 3>AI going to uphend that amount of people you are

0:38:06.440 --> 0:38:08.960
<v Speaker 3>having to increase or the types of people that you're

0:38:08.960 --> 0:38:12.160
<v Speaker 3>adding to. How are you trying to foresee the new

0:38:12.239 --> 0:38:14.120
<v Speaker 3>types of chaos companies are going to see.

0:38:14.200 --> 0:38:16.920
<v Speaker 13>Yeah, we may update later on our research for the

0:38:16.960 --> 0:38:19.520
<v Speaker 13>new type of AI companies. But the way we think

0:38:19.560 --> 0:38:23.800
<v Speaker 13>about innovation is that happens through waves, and a wave

0:38:23.880 --> 0:38:26.200
<v Speaker 13>and replace the previous web it builds on top of it.

0:38:26.360 --> 0:38:28.760
<v Speaker 13>So AI, for example, is built on top of cloud

0:38:28.840 --> 0:38:32.440
<v Speaker 13>and mobile, and so that's why the pace of innovation

0:38:32.960 --> 0:38:35.680
<v Speaker 13>seems and is actually happening faster because you're leveraging what

0:38:35.760 --> 0:38:39.759
<v Speaker 13>happened before. But the reality of building a business I

0:38:39.760 --> 0:38:42.839
<v Speaker 13>don't think we'll change. I think the time spent on

0:38:42.920 --> 0:38:45.960
<v Speaker 13>people will remain at fifty percent across the entire life

0:38:46.000 --> 0:38:49.040
<v Speaker 13>cycle in this first thousand employees' journey of a company,

0:38:49.920 --> 0:38:52.279
<v Speaker 13>and the type of people to hire and how you

0:38:52.320 --> 0:38:54.839
<v Speaker 13>retain them and how you motivate and how you lead them.

0:38:55.160 --> 0:38:56.880
<v Speaker 13>AI is not going to change that. Actually, I think

0:38:56.880 --> 0:38:59.200
<v Speaker 13>if anything, this is going to make it even more important.

0:39:00.040 --> 0:39:01.640
<v Speaker 3>Well, you're going to be talking about this much more

0:39:01.719 --> 0:39:03.920
<v Speaker 3>an event that you're hosting a little bit later in

0:39:03.960 --> 0:39:05.040
<v Speaker 3>the extensures partner.

0:39:06.200 --> 0:39:15.840
<v Speaker 5>We thank you so much. It's out. A full interview.

0:39:16.120 --> 0:39:19.880
<v Speaker 3>Elo Musk and Don Lemon's hour long interview has been released,

0:39:19.880 --> 0:39:22.200
<v Speaker 3>and it's just days after we understood that, of course,

0:39:22.239 --> 0:39:25.320
<v Speaker 3>the billionaire in your Mask actually canceled the CNN's lums

0:39:25.440 --> 0:39:29.360
<v Speaker 3>partnership with x in it. Well, the interview kind of

0:39:29.400 --> 0:39:32.600
<v Speaker 3>discussed a wide range of topics Mask's commitment to free speech.

0:39:32.640 --> 0:39:33.880
<v Speaker 5>For example, take a listen.

0:39:34.520 --> 0:39:36.080
<v Speaker 14>I'm here, you know, as you know, I'm on the

0:39:36.080 --> 0:39:40.000
<v Speaker 14>platform because you are. You say you're a free speech absolutist, right,

0:39:40.040 --> 0:39:41.120
<v Speaker 14>and there're no condition.

0:39:40.960 --> 0:39:46.360
<v Speaker 10>Yeah, free speeches as much as possible within the bows.

0:39:46.160 --> 0:39:46.480
<v Speaker 2>Of the law.

0:39:46.680 --> 0:39:47.200
<v Speaker 5>Yeah.

0:39:47.239 --> 0:39:49.880
<v Speaker 14>So the reason I'm saying that is because there are

0:39:49.920 --> 0:39:52.239
<v Speaker 14>no conditions on this interview. You said that, you know,

0:39:52.320 --> 0:39:53.000
<v Speaker 14>we'll speak to you.

0:39:52.960 --> 0:39:53.439
<v Speaker 7>For an hour.

0:39:53.560 --> 0:39:55.680
<v Speaker 14>I don't like SoundBite, so I welcome that. So let's

0:39:55.680 --> 0:39:56.279
<v Speaker 14>get into it.

0:39:58.520 --> 0:40:01.080
<v Speaker 5>I'm on the platform, but then not on the platform.

0:40:01.080 --> 0:40:02.720
<v Speaker 3>And actually it is very hard to watch the interview

0:40:02.719 --> 0:40:04.440
<v Speaker 3>on the platform for the first hour or so.

0:40:04.719 --> 0:40:06.480
<v Speaker 5>Let's bring in Williemos Kirk Wagner.

0:40:06.200 --> 0:40:08.560
<v Speaker 3>Who has watched part of it, and I mean from

0:40:08.560 --> 0:40:08.960
<v Speaker 3>the get go.

0:40:09.080 --> 0:40:10.120
<v Speaker 5>It was an awkward conversation.

0:40:10.280 --> 0:40:13.600
<v Speaker 3>The key takeaway for some and certainly investors in Elon's

0:40:13.600 --> 0:40:16.239
<v Speaker 3>publicly traded companies, are well the way in which he's

0:40:16.280 --> 0:40:18.640
<v Speaker 3>sort of vindicating his use of ketamin for example.

0:40:20.120 --> 0:40:22.319
<v Speaker 7>Yeah, that was a very tense exchange.

0:40:22.360 --> 0:40:25.600
<v Speaker 15>I thought they talked about Elon was, you know, talked

0:40:25.640 --> 0:40:28.960
<v Speaker 15>about his prescription for ketamine. He of course said he

0:40:29.000 --> 0:40:32.239
<v Speaker 15>doesn't abuse it. He uses it because of you know,

0:40:32.280 --> 0:40:35.920
<v Speaker 15>a doctor's advice, and that he sort of suffers at

0:40:35.920 --> 0:40:38.719
<v Speaker 15>times from depression or sadness.

0:40:38.880 --> 0:40:42.040
<v Speaker 7>And so he also kind of pushed back very very briefly.

0:40:42.120 --> 0:40:44.160
<v Speaker 15>He was like, you know, asking someone about a personal

0:40:44.239 --> 0:40:46.880
<v Speaker 15>prescription is a pretty private thing to ask, and he

0:40:47.000 --> 0:40:49.359
<v Speaker 15>kind of you know, pushed back on Don Lemon's question there.

0:40:49.400 --> 0:40:51.759
<v Speaker 15>But it was just very interesting to see him sort

0:40:51.760 --> 0:40:56.120
<v Speaker 15>of challenged on this reported drug use, right, and Don

0:40:56.200 --> 0:40:58.359
<v Speaker 15>Lemon asked, you know, is this going to impact your

0:40:58.400 --> 0:41:01.800
<v Speaker 15>contracts with the US government, impact your decision making your tweeting?

0:41:02.320 --> 0:41:04.839
<v Speaker 15>And so that, as you can imagine, was a rather

0:41:04.920 --> 0:41:07.919
<v Speaker 15>tense exchange very pretty early on in the conversation, which

0:41:07.920 --> 0:41:10.880
<v Speaker 15>sort of sets the stage for a tougher conversation.

0:41:11.200 --> 0:41:13.359
<v Speaker 3>I mean, Don Lemon went on to give his own

0:41:13.480 --> 0:41:16.720
<v Speaker 3>views on why his show has been canceled on the platform,

0:41:16.800 --> 0:41:19.880
<v Speaker 3>him saying that must disliked his line of questioning.

0:41:20.080 --> 0:41:21.719
<v Speaker 5>Meanwhile, you know, Musque himself.

0:41:21.440 --> 0:41:24.279
<v Speaker 3>Is saying that basically, this isn't what we envisaged. It's

0:41:24.440 --> 0:41:28.880
<v Speaker 3>just CNN but on social media. So reading between the lines,

0:41:28.920 --> 0:41:32.040
<v Speaker 3>what does this mean for X's push to being a

0:41:32.120 --> 0:41:35.640
<v Speaker 3>video first platform, to getting these sorts of well top

0:41:35.719 --> 0:41:38.440
<v Speaker 3>talent to come on and give them content.

0:41:40.160 --> 0:41:43.799
<v Speaker 15>Well, I would say Don Lemon was probably the headline

0:41:44.000 --> 0:41:47.080
<v Speaker 15>of this entire push we saw at CES in January.

0:41:47.120 --> 0:41:49.360
<v Speaker 15>They came out and announced, you know, a small handful

0:41:49.400 --> 0:41:52.279
<v Speaker 15>of new shows and how they were, as you said,

0:41:52.560 --> 0:41:54.719
<v Speaker 15>kind of pivot into video, making that a priority.

0:41:55.040 --> 0:41:59.400
<v Speaker 7>But when they're you know, top or perhaps most well known.

0:41:59.200 --> 0:42:03.439
<v Speaker 15>Partnership apart before it ever really gets going, and when

0:42:03.520 --> 0:42:05.719
<v Speaker 15>Don Lemon is out there saying the reason it fell

0:42:05.760 --> 0:42:08.920
<v Speaker 15>apart is because I can't actually ask hard questions of

0:42:08.960 --> 0:42:12.520
<v Speaker 15>the sources that I wanted to ask, it definitely does

0:42:12.560 --> 0:42:16.120
<v Speaker 15>not bode well, for one, the push to video in general,

0:42:16.160 --> 0:42:18.680
<v Speaker 15>but also Elon's stance on free speech.

0:42:19.480 --> 0:42:21.839
<v Speaker 5>Wagner, we thank you for bringing us the latest on

0:42:21.920 --> 0:42:22.640
<v Speaker 5>all things X.

0:42:22.719 --> 0:42:25.280
<v Speaker 3>Meanwhile, that does it for this edition of Bloomberg Technology, wherever

0:42:25.320 --> 0:42:26.000
<v Speaker 3>you consume it.