WEBVTT - Nvidia's New Chip Architecture and TikTok's Bill

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>From Mahard where Innovation, money and power.

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<v Speaker 3>Collie in Silicon Valley, Nbon. This is Bloomberg Technology with

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<v Speaker 3>Caroline Hyde and Ed Ludlow.

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<v Speaker 4>And Carolin Hyde at Bloomberg's World headquarters in New York.

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<v Speaker 5>I'med Ludlow in San Francisco. This is Bloomberg Technology coming up.

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<v Speaker 4>Full coverage of Video's annual GPU Technology Conference. Hoss Jensen

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<v Speaker 4>Wang on Veil's it's most powerful chip architecture yet, Why

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<v Speaker 4>Blackwell will be key for the future of.

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<v Speaker 5>AI plus as TikTok faces a potential ban or divest

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<v Speaker 5>it show we'll get the outlook on what's to come

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<v Speaker 5>next in the Senate with US Senator Bill hag from Tennessee, and.

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<v Speaker 4>We'll sit down with the CEO of the fastest growing

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<v Speaker 4>cybersecurity company that's Whiz to Talk M and a valuation

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<v Speaker 4>so much more.

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<v Speaker 5>Video CEO Jensen Huang name checked these names on stage

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<v Speaker 5>at GtC on Monday night, either their customers or he

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<v Speaker 5>was praising of where they sit in the AI infrastructure

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<v Speaker 5>build out that we're seeing around the world in the

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<v Speaker 5>context of data centers. Dell, one of those key names

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<v Speaker 5>moving through the upside.

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<v Speaker 4>Caroline kingmaker of other stocks, perhaps not his own on

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<v Speaker 4>the day in Video's Blackwell though ed the processor is

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<v Speaker 4>the showcase of the chip company's GtC conference, and look

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<v Speaker 4>it stends in video's dominance, it feels like of artificial

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<v Speaker 4>intelligence computing.

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<v Speaker 6>This is Harper.

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<v Speaker 3>Harper changed the world.

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<v Speaker 4>This is Blackwell, named after the mathematician and game theorist

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<v Speaker 4>David Backwell. This new platform is multiple times superior at

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<v Speaker 4>AI models and inference that its predecessor Hopper. As we

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<v Speaker 4>can see, he's just lining them up next to each

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<v Speaker 4>other moment. Let's break it all down the Antoine Skyman,

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<v Speaker 4>his technology infrastructure analyst at News Street Research who covers

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<v Speaker 4>in video and AI, and the dominance has been clear

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<v Speaker 4>when you're looking at a market capitalization, when you're thinking

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<v Speaker 4>the trillion dollars added in marketcap this year alone, did

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<v Speaker 4>it live up to the third most well valuable company

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<v Speaker 4>in the world.

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<v Speaker 7>Yes, thanks, thanks Caroline. I'd say our main takeaways from

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<v Speaker 7>Jensen's keynotes yesterday is that the competitiveness of Nvidia's product

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<v Speaker 7>is only getting stronger. Blackwell, the new platform that the

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<v Speaker 7>company announced offers up to four times higher training performance

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<v Speaker 7>and thirty times higher inference performance than its predecessor Hopper.

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<v Speaker 7>And so next time you hear someone announce it cheap

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<v Speaker 7>that's ten times faster than NVDR, remember that a year

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<v Speaker 7>later and Vidia will also have acheap ten times faster.

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<v Speaker 7>So alternatives to Nvidia can have an advantage that lasts

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<v Speaker 7>at best one generation, and a year later that advantage

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<v Speaker 7>goes away. And last, but not least, remember that this

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<v Speaker 7>advantage often comes at the cost first giving up on

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<v Speaker 7>the flexibility that GPU's offer, and second the cost of

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<v Speaker 7>not being able to leverage Nvidia's ecosystem.

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<v Speaker 6>So I would say that yes, it leaves up antoine.

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<v Speaker 5>There was a lot more emphasis from Jensen on inference

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<v Speaker 5>than there has been historically. Right, The story was around

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<v Speaker 5>the row h one hundred played in training large language

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<v Speaker 5>models with many tens or hundreds of billions of parameters.

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<v Speaker 6>Are you convinced.

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<v Speaker 5>That if we're in a world where we move from

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<v Speaker 5>more training to more inference, Nvidia continues to lead in

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<v Speaker 5>that side of the market as well.

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<v Speaker 7>Yes, I think so, and I think Jensen clearly illustrated

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<v Speaker 7>that very well. Inference is a very complex problem that

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<v Speaker 7>involves very complex optimization where you have to paralyze a

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<v Speaker 7>workload across dozens of GPUs, And I think what Jensen

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<v Speaker 7>showed yesterday is that Nvidia's mode is really about being

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<v Speaker 7>able to optimize these GPUs to solve that complex inference

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<v Speaker 7>problem very efficiently. This thirty times better than Hopper clearly

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<v Speaker 7>illustrates that Nvida is very, very much delivering on that front.

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<v Speaker 5>What were you most excited about from Jensen? Right he's

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<v Speaker 5>like being compared to Steve Jobs. He is the man

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<v Speaker 5>of the moment. He wears his leather jacket. You convinced

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<v Speaker 5>by all the things that he says about the future

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<v Speaker 5>when he's on stage.

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<v Speaker 7>I think I was most excited about innovation beyond just GPUs.

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<v Speaker 7>If you look at the fact that Nvidia also announced

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<v Speaker 7>material improvements for secondary chips like the Gray CPU, the DPU,

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<v Speaker 7>various networking chips, we actually can conclude that only half

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<v Speaker 7>the performance improvement is coming from the GPU, and the

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<v Speaker 7>other half is actually coming from the rest of the

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<v Speaker 7>hardware stack and system level integration. So bottom line is

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<v Speaker 7>that Nvidia's mode is not just about designing great GPUs,

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<v Speaker 7>It's about designing great systems optimized to unleash fully the

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<v Speaker 7>capabilities of those GPUs, and I think that's really what

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<v Speaker 7>I was excited about when I looked at the keynote yesterday,

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<v Speaker 7>and it's.

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<v Speaker 4>Clearly perhaps so I was saying some impact on rival

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<v Speaker 4>chip companies. I mean MDS, I think, one of the

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<v Speaker 4>worst performers on the day. Does this mean that they've

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<v Speaker 4>got it all locked up? Or is with the new

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<v Speaker 4>paradigm shift to inference and the fact some of these

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<v Speaker 4>hyperscalers themselves want to be making their own chips, does

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<v Speaker 4>that long term provide some sort of competitive issue.

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<v Speaker 7>Well, I think that Nvida's competition will thrive as well

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<v Speaker 7>because demand is so strong at the moment, so everybody

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<v Speaker 7>will continue to buy as much as they can at

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<v Speaker 7>least until the end of next year. And that doesn't

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<v Speaker 7>mean that they will challenge the dominus of Nvidia, but

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<v Speaker 7>that will make room for alternatives. So at this point

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<v Speaker 7>in time, we actually see upside in both Nvidia and AMD.

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<v Speaker 7>But the uncertainty that there is beyond twenty twenty five

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<v Speaker 7>means that the risk reward ratio is getting thinner and

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<v Speaker 7>thinner as those doocks keep having a run. What happens

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<v Speaker 7>beyond twenty twenty five? I think nobody knows. It will

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<v Speaker 7>depend on the performance of next generation larger models as

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<v Speaker 7>well as adoption and monetization of AI. But I would

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<v Speaker 7>say that there is room for challengers like AMD to

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<v Speaker 7>also gain a lot of share in that market, probably

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<v Speaker 7>in the ten to twenty percent region is something we

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<v Speaker 7>would see as reasonable.

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<v Speaker 4>I want to just dwell on the supply side issues

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<v Speaker 4>a little bit, because packaging is something that's beening highlighted

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<v Speaker 4>time and time again. Are we ultimately going to see

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<v Speaker 4>an issue never with demand that feels like just how

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<v Speaker 4>much can be made, how quickly it can be made,

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<v Speaker 4>and how and who buy?

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<v Speaker 7>So I think demand is really, you know, something that

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<v Speaker 7>will have to look at, will have to look at

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<v Speaker 7>many many dimensions. We are on the lookout, you know,

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<v Speaker 7>observing the industry on or fronts, and so will definitely

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<v Speaker 7>keep you posted. I don't think at this stage anyone

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<v Speaker 7>can determine what's going to happen beyond twenty twenty five.

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<v Speaker 7>Between now and twenty twenty five, though we have very

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<v Speaker 7>strong visibility. All data points suggest that Nvidia is going

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<v Speaker 7>to do very well, AM is going to do very well,

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<v Speaker 7>Broadcom is going to do very well. We see the

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<v Speaker 7>industry shaping up, you know, supply coast capacity, for instance,

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<v Speaker 7>doubling again this year. I think all the data points

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<v Speaker 7>suggest that everything is going to remain strong until twenty

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<v Speaker 7>twenty five, but there is no way to determine what

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<v Speaker 7>happens beyond twenty twenty five. Yet, we'll have to monitor

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<v Speaker 7>leading indicators on that front, as I mentioned earlier, like

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<v Speaker 7>adoption then monetization of the I.

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<v Speaker 5>Love Caroline's question because Blackwell has two hundred and eight

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<v Speaker 5>billion transistors in the tensercre right, it's so many transistors,

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<v Speaker 5>it's actually two chips in a multi die format TSMC

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<v Speaker 5>is going to be the manufacturer making them four MP technique.

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<v Speaker 5>Just something you said, Antoine. I think the forecast in

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<v Speaker 5>fiscal twenty five is one hundred and ten billion dollars

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<v Speaker 5>of revenue, up from sixty one in fiscal twenty four.

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<v Speaker 6>Do you have a good.

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<v Speaker 5>Sense of how quickly Blackwell will be revenue generating? I

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<v Speaker 5>think they said it will be launching later this year

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<v Speaker 5>calendar year.

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<v Speaker 3>Yes.

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<v Speaker 7>I mean when you look at Nvidia's prior cycles, for instance,

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<v Speaker 7>Hopper that launched in late twenty twenty two represented maybe

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<v Speaker 7>meet single digits of sales and mostly in the fourth quarter,

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<v Speaker 7>and that quickly remped in twenty twenty three, maybe to

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<v Speaker 7>about half of sales, and so we expect it's probably

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<v Speaker 7>a similar trajectory to play out for black Will.

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<v Speaker 5>All right, Newstreet Research and they center on scriber and

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<v Speaker 5>great to have you on the program, reacting to the

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<v Speaker 5>event of the year. Probably so fun are coming up.

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<v Speaker 5>We're going to bring you the latest on the other

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<v Speaker 5>big story, the TikTok divest or Bambil and why tech

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<v Speaker 5>critics are saying Congress needs to think a lot bigger.

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<v Speaker 5>That conversation's next, Caroline, another chip mover.

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<v Speaker 4>Yeah, and let's go back to the AI hype because well,

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<v Speaker 4>we're seeing supply coming into action for super micro computer.

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<v Speaker 8>We're down my number cent. Why because they're often just sell.

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<v Speaker 4>More shares, two million more shares in a public offering

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<v Speaker 4>that could raise as much as two billion dollars. Remember

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<v Speaker 4>this computer server maker, it's been on an absolute taired

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<v Speaker 4>a thousand percent gain amid this way AI enthusiasm.

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<v Speaker 8>Over the last twelve months.

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<v Speaker 4>It's going to be giving up a little bit as

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<v Speaker 4>we see them sell more shares.

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<v Speaker 8>There's a Blomgechnology.

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<v Speaker 4>Senior officials from the Justice Department and other agencies. Now

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<v Speaker 4>they're going to be holding closed door briefings in the

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<v Speaker 4>Senate this week to advance legislation that would allow TikTok

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<v Speaker 4>to continue its US operations are being severed from its

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<v Speaker 4>Chinese owner. Now this is all his breathings are likely

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<v Speaker 4>to be held today and tomorrow. We understand this is

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<v Speaker 4>an ongoing lobbying battle, isn't it over the dovest or

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<v Speaker 4>band TikTok bill? And it moves to the Senate after

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<v Speaker 4>what was a very quick passage in the House last week.

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<v Speaker 4>I just sat down with Republican Senator Bill Haggerty at

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<v Speaker 4>Tennessee to get his thoughts on the legislation earlier today.

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<v Speaker 8>Just take a listen.

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<v Speaker 9>Well, it's hard to say what's going to happen in

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<v Speaker 9>the Senate because Chuck Schumer controls the pace of play

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<v Speaker 9>in the Senate, and it's got to move through the

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<v Speaker 9>Commerce Committee in that gavel's controlled by Maria Campwell, So

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<v Speaker 9>I'm not certain what the pace will be, but I

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<v Speaker 9>can tell you what the concerns are regarding the bill.

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<v Speaker 9>I think the bill is trying to address a very

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<v Speaker 9>real concern that has to do with the national Security

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<v Speaker 9>laws of China, and any company that is Chinese owned

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<v Speaker 9>is subject to their data being surveilled by the Chinese

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<v Speaker 9>Commonist Party.

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<v Speaker 3>There are no exceptions to that rule.

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<v Speaker 9>And that's data collected wherever it may be collected around

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<v Speaker 9>the world, including in America.

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<v Speaker 3>The concern that this bill is trying.

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<v Speaker 9>To get at is the concern about the privacy of

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<v Speaker 9>Americans data and a desire not to allow that data

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<v Speaker 9>to be surveilled by the Chinese Commonist Party. That's a

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<v Speaker 9>very real concern. There's also another concern that's being very

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<v Speaker 9>clearly articulated as well. The last thing that we want

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<v Speaker 9>to see happen is more power shift to the hands

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<v Speaker 9>of companies like Meta that have demonstrated a willingness to

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<v Speaker 9>censor American voices, particularly conservative American voices. So I think

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<v Speaker 9>what we're talking about here is who owns TikTok at

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<v Speaker 9>the end of the day, and whether a divestiture.

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<v Speaker 3>Can be achieved.

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<v Speaker 4>So you'd want TikTok to remain as a competitive here

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<v Speaker 4>in the United States, just under different ownership.

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<v Speaker 9>And I think that is exactly what the bill contemplates.

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<v Speaker 9>We'll see again what the final product looks like as

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<v Speaker 9>it moves to the centate. But that's what I would

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<v Speaker 9>expect to see.

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<v Speaker 4>There has been some heavy lobbying, shall we say, coming

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<v Speaker 4>from TikTok on the Hill. And it was notable that

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<v Speaker 4>almost the person who first got the ball rolling on

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<v Speaker 4>analyzing the ownership of TikTok and indeed its persistence here in.

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<v Speaker 8>The US was former President Trump. And then he changed

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<v Speaker 8>his opinion.

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<v Speaker 4>He went more on the concern around Meta.

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<v Speaker 8>Do you think that was to do with lobbying. What

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<v Speaker 8>do you think changed his mind?

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<v Speaker 9>I really doubt it has anything to do with lobbying.

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<v Speaker 9>I think it probably has a lot more to do

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<v Speaker 9>with what we saw come out in the X files,

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<v Speaker 9>in the Twitter tapes, and the degree of censorship that's

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<v Speaker 9>taking place between the Biden administration and companies like Meta,

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<v Speaker 9>and Meta's willingness to get involved in elections. I think

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<v Speaker 9>everybody was deeply surprised and shocked with the suppression of

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<v Speaker 9>the story about Hunter Biden that was suppressed from the

0:12:43.600 --> 0:12:47.640
<v Speaker 9>New York Post. The degree by which this government, certainly

0:12:47.679 --> 0:12:50.719
<v Speaker 9>this White House, has been quote flagging a post of

0:12:50.800 --> 0:12:53.440
<v Speaker 9>concern to them, and that all feels like censorship to

0:12:53.600 --> 0:12:55.960
<v Speaker 9>most Americans. I think that's the point. That's the concern

0:12:56.000 --> 0:12:57.880
<v Speaker 9>that President Trump is highlighting.

0:12:59.400 --> 0:13:02.440
<v Speaker 4>To go the other route, and many people feeling that

0:13:02.520 --> 0:13:05.240
<v Speaker 4>what they don't want to see happen is a lack

0:13:05.280 --> 0:13:07.800
<v Speaker 4>of freedom of speech, a lack of nobility to use

0:13:07.840 --> 0:13:09.760
<v Speaker 4>this platform. So if it was to remain in the

0:13:09.880 --> 0:13:11.960
<v Speaker 4>United States, who should own it?

0:13:12.040 --> 0:13:12.920
<v Speaker 8>Who should be a buyer?

0:13:13.400 --> 0:13:16.400
<v Speaker 9>Well, I've certainly preferred American to own it, And that's

0:13:16.440 --> 0:13:18.600
<v Speaker 9>the needle I think this legislation is trying to thread

0:13:18.679 --> 0:13:19.360
<v Speaker 9>right now.

0:13:19.480 --> 0:13:21.520
<v Speaker 8>Should it be a social media company? Should it be

0:13:21.600 --> 0:13:22.560
<v Speaker 8>individual investors?

0:13:22.600 --> 0:13:25.559
<v Speaker 4>I know that your background is such, well, it's.

0:13:25.520 --> 0:13:27.760
<v Speaker 9>Going to be a large price tag, I feel pretty certain.

0:13:27.880 --> 0:13:30.000
<v Speaker 9>So it's hard to predict, and nor do I think

0:13:30.080 --> 0:13:34.000
<v Speaker 9>legislation should dictate you know, who that buyer might ultimately be.

0:13:34.120 --> 0:13:35.720
<v Speaker 3>But we'll see what happens.

0:13:35.960 --> 0:13:39.319
<v Speaker 4>Should a ban or divestment on TikTok be significant to

0:13:39.360 --> 0:13:40.400
<v Speaker 4>the US public.

0:13:40.720 --> 0:13:43.160
<v Speaker 9>I think it would be quite significant because of the

0:13:43.240 --> 0:13:45.360
<v Speaker 9>number of users. I think the count is one hundred

0:13:45.360 --> 0:13:48.640
<v Speaker 9>and seventy million users of TikTok, so I think there's

0:13:48.679 --> 0:13:51.640
<v Speaker 9>a great interest in what happens here, And again, the

0:13:51.679 --> 0:13:54.440
<v Speaker 9>Congress is trying to thread the needle on balancing our

0:13:54.720 --> 0:13:59.520
<v Speaker 9>security concerns and our concerns about data privacy with concerns

0:13:59.520 --> 0:13:59.960
<v Speaker 9>of free speed.

0:14:00.720 --> 0:14:05.600
<v Speaker 4>Have you received calls from people within your within Tennessee

0:14:05.640 --> 0:14:07.840
<v Speaker 4>wanting to see that TikTok remains, not wanting to see

0:14:07.840 --> 0:14:08.000
<v Speaker 4>it go.

0:14:08.200 --> 0:14:09.559
<v Speaker 3>We've received calls on both sides.

0:14:09.679 --> 0:14:13.000
<v Speaker 9>Ah, And so it's hard to say where the American

0:14:13.040 --> 0:14:15.920
<v Speaker 9>public lies on this. I haven't seen polling on it,

0:14:15.960 --> 0:14:20.440
<v Speaker 9>but again, I think the concerns are both very real. Again,

0:14:20.560 --> 0:14:22.880
<v Speaker 9>the national security concern that our data would be exposed

0:14:22.920 --> 0:14:25.480
<v Speaker 9>to surveill us by the Chinese Communist Party, even weaponization

0:14:26.000 --> 0:14:29.240
<v Speaker 9>by the Chinese Communist Party. That's something Americans clearly don't want,

0:14:29.280 --> 0:14:31.360
<v Speaker 9>That's what I'm hearing. But also a concern that we

0:14:31.440 --> 0:14:33.920
<v Speaker 9>not put too much power in the hands of those

0:14:34.200 --> 0:14:36.640
<v Speaker 9>large media companies that have shown their desire and their

0:14:36.640 --> 0:14:40.440
<v Speaker 9>willingness to censor particularly conservative voices here in America. So

0:14:40.800 --> 0:14:42.960
<v Speaker 9>threading Nick Needil is where this legislation needs to go.

0:14:43.600 --> 0:14:46.600
<v Speaker 4>The Republican take from Senator Bill Haggerty of Tennessee giving

0:14:46.600 --> 0:14:49.440
<v Speaker 4>his thoughts on a TikTok bill as it begins potentially

0:14:49.480 --> 0:14:52.520
<v Speaker 4>to slowly move through the Senate, And well, let's just

0:14:52.560 --> 0:14:56.120
<v Speaker 4>look at some of the overall concerns the opponents, the

0:14:56.160 --> 0:15:00.160
<v Speaker 4>tech critics, the issue around Congress about thinking that it

0:15:00.240 --> 0:15:03.720
<v Speaker 4>more broadly, should not just be a divestor ban legislation

0:15:03.760 --> 0:15:08.880
<v Speaker 4>on TikTok, Perhaps borader privacy could tell well, privacy oversight

0:15:09.040 --> 0:15:11.840
<v Speaker 4>coming to every single social media platform Alex brinkers here,

0:15:11.840 --> 0:15:13.720
<v Speaker 4>and I think that was kind of what Bill Haggerty

0:15:13.720 --> 0:15:16.360
<v Speaker 4>was trying to get at here. The Senator Alex was that, well,

0:15:17.080 --> 0:15:21.000
<v Speaker 4>as many Republicans might try to articulate, they've been concerns

0:15:21.040 --> 0:15:23.360
<v Speaker 4>with us a social media platforms in their voice within

0:15:23.920 --> 0:15:26.960
<v Speaker 4>should there just be a broader privacy oversight here, a

0:15:27.040 --> 0:15:29.920
<v Speaker 4>broader law rather than just targeting one individual company.

0:15:30.880 --> 0:15:33.160
<v Speaker 2>That's what's been so interesting about this, Caroline, what Senator

0:15:33.200 --> 0:15:35.600
<v Speaker 2>Hagerty kind of laid out to you that they're concerned

0:15:35.600 --> 0:15:39.600
<v Speaker 2>about data privacy as the impetus for this bill. Some

0:15:39.800 --> 0:15:42.080
<v Speaker 2>folks are looking at that saying we actually need to

0:15:42.120 --> 0:15:44.640
<v Speaker 2>go bigger. This bill itself is not about data privacy

0:15:44.640 --> 0:15:48.280
<v Speaker 2>in the language. It's about ownership and ownership by foreign

0:15:48.280 --> 0:15:51.440
<v Speaker 2>adversaries like China. We talked to experts for a story

0:15:51.520 --> 0:15:54.720
<v Speaker 2>coming out in this latest edition of BusinessWeek magazine, and

0:15:54.760 --> 0:15:57.880
<v Speaker 2>they are saying, look, why don't we think bigger about

0:15:57.920 --> 0:16:01.560
<v Speaker 2>this and not just focus on one company or one country,

0:16:01.840 --> 0:16:05.720
<v Speaker 2>but actually set federal data privacy regulations in the US,

0:16:05.880 --> 0:16:09.880
<v Speaker 2>which the US doesn't have. I trieded to folks at EPIC,

0:16:09.960 --> 0:16:11.800
<v Speaker 2>like Kellie Schroeder, who's their general counsel.

0:16:11.840 --> 0:16:13.680
<v Speaker 8>Epics an organization who has been.

0:16:13.560 --> 0:16:17.840
<v Speaker 2>Lobbying for a broader privacy regulation for a while, and

0:16:17.920 --> 0:16:21.200
<v Speaker 2>she had a really great comparison. She basically said, look,

0:16:21.400 --> 0:16:25.720
<v Speaker 2>if the Internet is a calender, then plugging plugging one

0:16:25.760 --> 0:16:28.680
<v Speaker 2>hole is the equivalent of this TikTok bill. It's one

0:16:28.760 --> 0:16:32.040
<v Speaker 2>small hole in the data ecosystem and American's data is

0:16:32.040 --> 0:16:34.360
<v Speaker 2>slipping out elsewhere. So why don't we address this on

0:16:34.400 --> 0:16:35.760
<v Speaker 2>a broader scale.

0:16:36.400 --> 0:16:38.200
<v Speaker 5>Alex, I think it's important to go back to what

0:16:38.240 --> 0:16:42.080
<v Speaker 5>you and I reported last week and basically point out

0:16:42.080 --> 0:16:44.520
<v Speaker 5>TikTok is not promising to divest at all.

0:16:44.600 --> 0:16:47.320
<v Speaker 6>The opposite. They're kind of digging in and saying.

0:16:47.320 --> 0:16:50.360
<v Speaker 5>We've put forward a user data solution that we're going

0:16:50.400 --> 0:16:54.120
<v Speaker 5>to stick with. And listening to Caroline's interview just then

0:16:54.760 --> 0:16:56.720
<v Speaker 5>there seems to be the political group that say this

0:16:56.800 --> 0:17:00.520
<v Speaker 5>is just about TikTok, ownership of TikTok, And then there's

0:17:00.560 --> 0:17:02.720
<v Speaker 5>the group that says this is much bigger. It's about

0:17:02.720 --> 0:17:08.480
<v Speaker 5>censorship via social media platforms and a blanket control by government.

0:17:08.920 --> 0:17:10.800
<v Speaker 5>Which voice is loudest right now.

0:17:11.720 --> 0:17:12.560
<v Speaker 8>It's a mix of both.

0:17:12.600 --> 0:17:14.359
<v Speaker 2>And to take you a little bit behind the scenes

0:17:14.400 --> 0:17:16.919
<v Speaker 2>with our reporting over the last forty eight hours, we

0:17:17.040 --> 0:17:19.960
<v Speaker 2>know that the Department of Justice is briefing senators this

0:17:20.040 --> 0:17:23.520
<v Speaker 2>week encouraging them to vote for this bill, and also

0:17:23.760 --> 0:17:26.359
<v Speaker 2>TikTok is passing out a one pager that I was

0:17:26.400 --> 0:17:29.439
<v Speaker 2>able to review batting down some of those concerns on

0:17:29.560 --> 0:17:32.520
<v Speaker 2>data privacy. In particular, the DOJ is pointing out that

0:17:32.600 --> 0:17:36.760
<v Speaker 2>TikTok collects names, addresses, phone numbers, and TikTok.

0:17:36.400 --> 0:17:38.200
<v Speaker 8>Is saying, look, that's the same kind of.

0:17:38.119 --> 0:17:41.440
<v Speaker 2>Information that any other social media company, particularly the ones

0:17:41.440 --> 0:17:45.040
<v Speaker 2>that might be lobbying them, like Meta and X and

0:17:45.040 --> 0:17:49.080
<v Speaker 2>the like those other rivals, collect the same amount of data.

0:17:49.160 --> 0:17:52.960
<v Speaker 2>And when I rewind and think about the social media industry,

0:17:53.240 --> 0:17:56.159
<v Speaker 2>it is not lacking for infractions when it comes to

0:17:56.400 --> 0:17:59.439
<v Speaker 2>user data getting out. What has been lacking though, is

0:17:59.480 --> 0:18:02.840
<v Speaker 2>actual life. We've seen the CEOs of these companies come

0:18:02.880 --> 0:18:06.480
<v Speaker 2>through for hearing after hearing. Think about Meta CEO Mark Zuckerberg,

0:18:06.560 --> 0:18:08.680
<v Speaker 2>how many times he's arrived on the Hill to talk

0:18:08.720 --> 0:18:11.360
<v Speaker 2>about this stuff. But we have yet to see any

0:18:11.440 --> 0:18:13.960
<v Speaker 2>kind of data privacy regulation. And that's why folks like

0:18:14.000 --> 0:18:17.520
<v Speaker 2>Democrat Mark pocon or Elizabeth Warren have in the past

0:18:17.520 --> 0:18:20.040
<v Speaker 2>few days said, Look, we like some of the ideas

0:18:20.080 --> 0:18:22.920
<v Speaker 2>behind this bill. We think we need to be protecting

0:18:23.040 --> 0:18:26.280
<v Speaker 2>American user's data, but let's set up an actual framework

0:18:26.359 --> 0:18:30.680
<v Speaker 2>that does that holistically and doesn't just target one company

0:18:30.800 --> 0:18:33.439
<v Speaker 2>in a bill that the language of it could actually

0:18:33.440 --> 0:18:37.080
<v Speaker 2>be deemed illegal, as TikTok will probably take this to

0:18:37.119 --> 0:18:38.520
<v Speaker 2>a legal fight if this passes.

0:18:39.160 --> 0:18:41.000
<v Speaker 5>I always think it's worth saying out loud it is

0:18:41.040 --> 0:18:44.159
<v Speaker 5>a divest or ban bill, not a big picture, sweeping

0:18:44.200 --> 0:18:48.120
<v Speaker 5>piece of social media regulation. Bluebags Alex Brinka terrific reporting

0:18:56.560 --> 0:18:59.639
<v Speaker 5>social platform Reddit gearing up for its IPO this week,

0:19:00.119 --> 0:19:01.800
<v Speaker 5>or what we can expect from the listening. Let's bring

0:19:01.800 --> 0:19:05.760
<v Speaker 5>in Bloomberg Managing editor Linn Down and lynn Is this week.

0:19:05.760 --> 0:19:09.560
<v Speaker 6>We've been wasting years. What's on your desk this week

0:19:09.560 --> 0:19:10.440
<v Speaker 6>and what are you looking for?

0:19:11.320 --> 0:19:13.359
<v Speaker 10>I mean, I'll give you an idea of what we

0:19:13.400 --> 0:19:16.040
<v Speaker 10>are expecting here on the news side, A lot of

0:19:16.080 --> 0:19:18.919
<v Speaker 10>details dropped earlier this week. We know that Reddit and

0:19:19.000 --> 0:19:22.840
<v Speaker 10>some of its existing stakeholders are planning on selling a

0:19:22.840 --> 0:19:27.360
<v Speaker 10>total of twenty two million shares. Of that total, fifteen

0:19:27.400 --> 0:19:30.360
<v Speaker 10>million shares are expected to be sold by the company itself,

0:19:30.400 --> 0:19:32.359
<v Speaker 10>and they see them going for as much as thirty

0:19:32.359 --> 0:19:35.200
<v Speaker 10>four dollars each. At the top range of that that

0:19:35.359 --> 0:19:37.600
<v Speaker 10>it could end up with the market value of five

0:19:37.680 --> 0:19:41.040
<v Speaker 10>point four billion dollars, making it what I think would

0:19:41.080 --> 0:19:43.639
<v Speaker 10>be the biggest IPO so far this year. But you

0:19:43.720 --> 0:19:45.879
<v Speaker 10>never know what's going to happen with these things. And

0:19:45.960 --> 0:19:49.000
<v Speaker 10>we're told the IPO will price tomorrow and start trading

0:19:49.000 --> 0:19:52.640
<v Speaker 10>the day after, So that'll be the big moment of truth.

0:19:52.720 --> 0:19:54.359
<v Speaker 8>Yeah, I mean moment of truth.

0:19:54.400 --> 0:19:57.879
<v Speaker 4>Also in the final innings in comes Nokia with some

0:19:58.000 --> 0:19:59.760
<v Speaker 4>legal patent issues.

0:20:00.040 --> 0:20:03.640
<v Speaker 10>Yeah, I mean that surprised us all a little bit

0:20:04.000 --> 0:20:05.919
<v Speaker 10>to see that come. Then again, I was I was

0:20:05.960 --> 0:20:09.560
<v Speaker 10>talking to a colleague about it earlier this morning, and uh,

0:20:09.600 --> 0:20:12.000
<v Speaker 10>and I thought, gosh, all these headlines are hitting so

0:20:12.119 --> 0:20:14.479
<v Speaker 10>close to the IPO. But at the same time we

0:20:14.480 --> 0:20:16.919
<v Speaker 10>were thinking, oh, yeah, but this is also the moment

0:20:17.040 --> 0:20:20.200
<v Speaker 10>when companies tend to, you know, drag all the skeletons

0:20:20.240 --> 0:20:23.159
<v Speaker 10>out of the closet and disclose everything upfront and say,

0:20:23.320 --> 0:20:26.080
<v Speaker 10>you know, you need to know what you're what you're

0:20:26.119 --> 0:20:29.040
<v Speaker 10>in store for if you decide to invest in our company.

0:20:29.359 --> 0:20:33.080
<v Speaker 10>I mean, in my mind, that pat an infringement complaint

0:20:33.080 --> 0:20:36.760
<v Speaker 10>from Nokia is something to watch. It's definitely worth watching.

0:20:36.800 --> 0:20:40.080
<v Speaker 10>I don't think the company would have disclosed it if

0:20:40.119 --> 0:20:44.080
<v Speaker 10>it wasn't material. And that being said, I think.

0:20:43.920 --> 0:20:56.720
<v Speaker 11>Also, Linda, and sorry to cut you off, welcome back

0:20:56.760 --> 0:20:57.800
<v Speaker 11>to Bloomberg Technology.

0:20:57.920 --> 0:21:00.400
<v Speaker 6>Ed Ludlow here in San Francisco, have your.

0:21:00.280 --> 0:21:03.040
<v Speaker 4>Backhead, I'm Caroline hyding your Let's have a quick check

0:21:03.040 --> 0:21:05.480
<v Speaker 4>on these markets, shall we, Because look, we've actually been

0:21:05.520 --> 0:21:09.240
<v Speaker 4>selling off ahead of the Federal Reserve meeting and announcement tomorrow.

0:21:09.280 --> 0:21:12.640
<v Speaker 4>But as that one hundred currently off by six ten percent,

0:21:12.760 --> 0:21:14.919
<v Speaker 4>so big tech kind of pressure is we basically take

0:21:14.960 --> 0:21:17.040
<v Speaker 4>some profits. This is a crowded trade according to Bank

0:21:17.080 --> 0:21:19.760
<v Speaker 4>of America, when the most crowded trade.

0:21:19.520 --> 0:21:20.520
<v Speaker 8>Is the Magnificent seven.

0:21:20.640 --> 0:21:23.840
<v Speaker 4>And of course after in videos all important tech event

0:21:23.960 --> 0:21:28.280
<v Speaker 4>is upon us, the woodstock of developers' conferences. Maybe there's

0:21:28.320 --> 0:21:30.879
<v Speaker 4>just a little bit of chips off the table. The

0:21:30.920 --> 0:21:33.440
<v Speaker 4>dollar still strengthening its particularly the Japanese yen. Is they

0:21:33.600 --> 0:21:36.040
<v Speaker 4>end their policy of negative interest rates rather more than

0:21:36.080 --> 0:21:38.160
<v Speaker 4>a percentage point, and of course we still anticipate where

0:21:38.160 --> 0:21:39.960
<v Speaker 4>the feder Reserve will go in terms of their own

0:21:40.119 --> 0:21:41.879
<v Speaker 4>rate hikes or cuts.

0:21:41.800 --> 0:21:42.480
<v Speaker 8>Later in the year.

0:21:42.520 --> 0:21:45.840
<v Speaker 4>Bitcoin currently off by almost seven percent, let's call it.

0:21:46.080 --> 0:21:48.760
<v Speaker 4>Certainly seeing some concerns about the infros into the ETFs

0:21:48.800 --> 0:21:50.239
<v Speaker 4>at the moment. Now, I want to shine a light

0:21:50.280 --> 0:21:52.119
<v Speaker 4>on what's happening over at Tencent because they got their

0:21:52.200 --> 0:21:54.960
<v Speaker 4>numbers coming out Wednesday, still off by one point four percent.

0:21:55.000 --> 0:21:58.359
<v Speaker 4>Interesting US China tension still bubbling over with TikTok, but

0:21:58.400 --> 0:22:01.399
<v Speaker 4>Tencent actually could show us some margin improvement, even if

0:22:01.440 --> 0:22:03.919
<v Speaker 4>we don't see revenue improvement. Keep an eye on that

0:22:04.080 --> 0:22:06.119
<v Speaker 4>key name traded here in the US, of course, it's

0:22:06.240 --> 0:22:09.720
<v Speaker 4>usdr's there at the moment, Cadence Design at one point percent.

0:22:09.840 --> 0:22:11.360
<v Speaker 4>Want to shine a light on some of the companies

0:22:11.359 --> 0:22:14.040
<v Speaker 4>that perhaps as in Video doesn't rally, we do see

0:22:14.040 --> 0:22:17.600
<v Speaker 4>some other companies being singled out as using Video's Blackwell

0:22:17.920 --> 0:22:21.600
<v Speaker 4>going Forward and Sis Cadence Design Synopsis among them. So

0:22:22.080 --> 0:22:24.919
<v Speaker 4>AMD though on the downside some percent as look that

0:22:25.000 --> 0:22:28.520
<v Speaker 4>competition it's getting so tough as in video just shows

0:22:28.520 --> 0:22:31.960
<v Speaker 4>its dominance within the world of training and inference.

0:22:32.320 --> 0:22:33.720
<v Speaker 8>But Ed, I want to get.

0:22:33.560 --> 0:22:37.000
<v Speaker 4>Your take on the dominance and what really Blackwell, the

0:22:37.000 --> 0:22:40.840
<v Speaker 4>the whole scope of offerings that was being articulated by

0:22:40.960 --> 0:22:41.440
<v Speaker 4>Chensen Wan.

0:22:41.520 --> 0:22:42.240
<v Speaker 8>What did you make of it?

0:22:43.080 --> 0:22:46.640
<v Speaker 5>Well, it's just a numbers game. That it's a different technology, right,

0:22:46.680 --> 0:22:49.119
<v Speaker 5>So when we talk about the GB two hundred, it

0:22:49.160 --> 0:22:53.520
<v Speaker 5>is actually two GPUs combined with one CPU, two Blackwell GPUs,

0:22:53.560 --> 0:22:56.359
<v Speaker 5>one Great Shoppers CPU. But those numbers on the screen

0:22:56.440 --> 0:22:59.800
<v Speaker 5>tell the story that they've just upped the performance levels

0:23:00.000 --> 0:23:03.640
<v Speaker 5>and in aggregate, as we scale more data center infrastructure,

0:23:03.640 --> 0:23:05.800
<v Speaker 5>the bottom points really important that it's just much more

0:23:05.920 --> 0:23:08.760
<v Speaker 5>energy efficient. When you put the Blackwell into a cluster,

0:23:09.080 --> 0:23:12.040
<v Speaker 5>you get twenty five times power efficiency, which you know

0:23:12.080 --> 0:23:14.960
<v Speaker 5>in the context of the environment and climate's important as well.

0:23:15.240 --> 0:23:18.280
<v Speaker 4>And when we think about the Hopper offering, and indeed

0:23:18.640 --> 0:23:21.520
<v Speaker 4>the AGE one hundred is what thirty forty thousand per

0:23:21.680 --> 0:23:23.520
<v Speaker 4>one And when you're thinking of the amount that each

0:23:23.560 --> 0:23:26.080
<v Speaker 4>hyperscale is having to invest in the numbers rack up.

0:23:26.160 --> 0:23:28.640
<v Speaker 4>We haven't got any sort of price point for Blackwell,

0:23:28.680 --> 0:23:32.080
<v Speaker 4>But ultimately, when you're thinking of the power offset you

0:23:32.119 --> 0:23:33.879
<v Speaker 4>can get, it just shows the amount that power is

0:23:33.880 --> 0:23:35.399
<v Speaker 4>going to be costing for these data centers.

0:23:35.920 --> 0:23:38.399
<v Speaker 5>Yeah, because it's just it's easy for Gensen one to

0:23:38.440 --> 0:23:40.879
<v Speaker 5>hold up two GPUs or tenacles in his hands. The

0:23:40.920 --> 0:23:44.480
<v Speaker 5>reality is that Blackwell will ship as a rack or

0:23:44.520 --> 0:23:47.879
<v Speaker 5>server design and go into banks of racks in a

0:23:47.960 --> 0:23:52.000
<v Speaker 5>data center. The scale is just enormous and the power

0:23:52.040 --> 0:23:55.679
<v Speaker 5>consumption relates to that. We're talking about hundreds of square

0:23:55.720 --> 0:24:00.320
<v Speaker 5>miles of space with many hundreds, if not thousand, of

0:24:01.000 --> 0:24:03.680
<v Speaker 5>these black wid gps going into what in vehicles a

0:24:03.760 --> 0:24:07.159
<v Speaker 5>supercomputer is basically a server farm.

0:24:07.560 --> 0:24:09.040
<v Speaker 8>It's all about the terminology.

0:24:09.080 --> 0:24:10.760
<v Speaker 4>And I have to say I loved reading your Tech

0:24:10.840 --> 0:24:14.320
<v Speaker 4>Daily newsletter yesterday because you really made it so straightforward

0:24:14.320 --> 0:24:17.359
<v Speaker 4>for us AID. Meanwhile, let's stick with how straightforward ai

0:24:17.480 --> 0:24:20.400
<v Speaker 4>OR isn't right now, particularly for the IT leaders, and

0:24:20.920 --> 0:24:23.360
<v Speaker 4>we really got to also think about more broadly where

0:24:23.400 --> 0:24:24.520
<v Speaker 4>it's being applied.

0:24:24.160 --> 0:24:25.679
<v Speaker 8>In cross industry groups.

0:24:25.760 --> 0:24:27.359
<v Speaker 4>It's front and center in fact, in terms of the

0:24:27.359 --> 0:24:29.760
<v Speaker 4>conversation that was being had this morning on Bluemke surveillance.

0:24:29.840 --> 0:24:31.640
<v Speaker 8>They were live from Bank of America Training floor.

0:24:31.680 --> 0:24:36.000
<v Speaker 12>Take a listen the way we're looking at how AI

0:24:36.240 --> 0:24:39.120
<v Speaker 12>changes virtually everything we do.

0:24:39.280 --> 0:24:41.520
<v Speaker 13>We never would have been able to do these indicators

0:24:41.800 --> 0:24:44.600
<v Speaker 13>five ten years ago. We didn't have the capability of

0:24:44.640 --> 0:24:47.240
<v Speaker 13>aggregating all this data together.

0:24:47.440 --> 0:24:50.320
<v Speaker 12>Now that you have access that only data scientists and

0:24:50.400 --> 0:24:54.800
<v Speaker 12>quantities to have, you actually can use intelligence straight from

0:24:54.800 --> 0:24:57.760
<v Speaker 12>your smartphone, leveraging all of those ways.

0:24:57.840 --> 0:25:01.879
<v Speaker 13>We're looking at sixty nine million in accounts. That's a

0:25:01.920 --> 0:25:04.760
<v Speaker 13>lot of data that's not sending somebody a survey in

0:25:04.800 --> 0:25:08.560
<v Speaker 13>the mail and getting them to respond, real time data

0:25:08.600 --> 0:25:10.879
<v Speaker 13>on sixty nine million accounts, and I think this is

0:25:10.920 --> 0:25:12.720
<v Speaker 13>a wonderful thing about AI.

0:25:12.880 --> 0:25:15.840
<v Speaker 12>That's what you're seeing right now. You're seeing the chips,

0:25:15.880 --> 0:25:18.520
<v Speaker 12>the servers, Those are being bought and those are being deployed.

0:25:18.560 --> 0:25:22.000
<v Speaker 14>I think euphoria is really driven by themes at this point.

0:25:22.040 --> 0:25:22.679
<v Speaker 1>So it's AI.

0:25:23.040 --> 0:25:25.880
<v Speaker 15>Everybody owns the AI plays.

0:25:26.800 --> 0:25:29.000
<v Speaker 4>Oh, everyone's talking about it, and a few people are

0:25:29.000 --> 0:25:31.800
<v Speaker 4>worrying about how much they call it up their sophistication

0:25:31.920 --> 0:25:35.080
<v Speaker 4>and understanding of it, particularly it leaders. Right now, let's

0:25:35.119 --> 0:25:38.160
<v Speaker 4>dig into how AI is changing every industry, every business.

0:25:38.160 --> 0:25:40.800
<v Speaker 4>With Page Costello, head of AI at asana. It's an

0:25:40.840 --> 0:25:43.000
<v Speaker 4>enterprise work management platform, and you just put out a

0:25:43.000 --> 0:25:46.000
<v Speaker 4>state of IT report, really which I'm sure you're going

0:25:46.040 --> 0:25:50.399
<v Speaker 4>to a few optimistic but also slightly fretful IT leaders

0:25:50.400 --> 0:25:55.000
<v Speaker 4>across every industry group thinking how am I suddenly THEAI leader.

0:25:54.840 --> 0:25:56.280
<v Speaker 8>An expert and how do I deploy this?

0:25:57.720 --> 0:26:02.480
<v Speaker 1>Yes, absolutely, seventy seven percent of CIOs and IT leaders

0:26:02.560 --> 0:26:06.160
<v Speaker 1>believe that they are personally responsible for the intelligent transformation

0:26:06.359 --> 0:26:08.919
<v Speaker 1>and that that is a high bar and it's creating

0:26:08.960 --> 0:26:11.639
<v Speaker 1>a lot of stress and pressure for IT leaders.

0:26:13.160 --> 0:26:16.040
<v Speaker 5>Page on stage, Jensen Juang last night talked about this

0:26:16.119 --> 0:26:18.640
<v Speaker 5>new age of computing and when we talk about computer,

0:26:19.080 --> 0:26:21.119
<v Speaker 5>you know, I grew up with a Dell desktop with

0:26:21.200 --> 0:26:21.760
<v Speaker 5>a keyboard.

0:26:21.800 --> 0:26:23.719
<v Speaker 6>I think we're talking about something completely different.

0:26:24.280 --> 0:26:26.119
<v Speaker 5>Do you think that your customers and everyone that you

0:26:26.160 --> 0:26:28.800
<v Speaker 5>work with kind of watches that in video keynote and thinks,

0:26:28.880 --> 0:26:32.359
<v Speaker 5>my goodness, I need to start hiring people that know

0:26:32.400 --> 0:26:34.800
<v Speaker 5>what he's talking about so that we know what we're

0:26:34.840 --> 0:26:35.920
<v Speaker 5>talking about.

0:26:37.840 --> 0:26:41.560
<v Speaker 1>Yes, I do think with this big change in work,

0:26:41.920 --> 0:26:44.359
<v Speaker 1>people are going to be hiring for new roles and

0:26:44.440 --> 0:26:47.040
<v Speaker 1>the existing teammates are trying to figure out how do

0:26:47.200 --> 0:26:50.719
<v Speaker 1>I use AI to be a more effective player. And

0:26:50.760 --> 0:26:53.280
<v Speaker 1>so one of the most wonderful things that we were

0:26:53.320 --> 0:26:57.320
<v Speaker 1>observing is the excitement anticipation for what AI can do,

0:26:57.440 --> 0:27:01.400
<v Speaker 1>but also some level of fear because there's real curiosity

0:27:01.440 --> 0:27:03.520
<v Speaker 1>of can we add one more thing here? Can we

0:27:03.600 --> 0:27:06.600
<v Speaker 1>actually ask and make demands of our teams to use

0:27:06.680 --> 0:27:10.040
<v Speaker 1>yet another app? And so that's one of the contentious

0:27:10.119 --> 0:27:13.199
<v Speaker 1>zones right now is AI isn't always built in and

0:27:13.280 --> 0:27:13.960
<v Speaker 1>ready to use.

0:27:15.119 --> 0:27:19.720
<v Speaker 5>Are the people available that they are needed?

0:27:21.400 --> 0:27:21.640
<v Speaker 6>Yeah?

0:27:22.119 --> 0:27:26.760
<v Speaker 1>What I think is most amazing is that it's not necessarily.

0:27:26.200 --> 0:27:27.600
<v Speaker 8>Actually about the people.

0:27:28.040 --> 0:27:31.719
<v Speaker 1>What's most important is the technology supports the people in

0:27:31.800 --> 0:27:34.800
<v Speaker 1>what they're trying to achieve. So I work at Saana

0:27:34.800 --> 0:27:37.800
<v Speaker 1>as an enterprise work management platform that serves eighty percent

0:27:37.800 --> 0:27:40.200
<v Speaker 1>of the Fortune one hundred, helping them drive clarity and

0:27:40.200 --> 0:27:44.919
<v Speaker 1>accountability a scale. And what's quite compelling is actually putting

0:27:45.080 --> 0:27:48.240
<v Speaker 1>AI in the hands of the team and in the

0:27:48.280 --> 0:27:51.800
<v Speaker 1>hands of executives to answer really normal questions like what's

0:27:51.840 --> 0:27:54.920
<v Speaker 1>the progress of our strategic initiatives? How do I break

0:27:54.920 --> 0:27:56.879
<v Speaker 1>this work down and reason about it so we can

0:27:56.920 --> 0:27:59.560
<v Speaker 1>actually get it done, And how do we connect workflows

0:27:59.600 --> 0:28:03.959
<v Speaker 1>across us our work data to make decisions about what

0:28:04.040 --> 0:28:06.119
<v Speaker 1>to do next and how to stay agile in this

0:28:06.200 --> 0:28:07.240
<v Speaker 1>competitive environment.

0:28:08.000 --> 0:28:10.520
<v Speaker 4>Are some of the IT executives and others in leadership

0:28:10.560 --> 0:28:12.920
<v Speaker 4>you're talking to, they're having to be too agile right now.

0:28:14.320 --> 0:28:18.200
<v Speaker 1>Yeah, Actually, one in four IT leaders says they moved

0:28:18.240 --> 0:28:21.160
<v Speaker 1>a little too fast on AI and they're fretful about

0:28:21.240 --> 0:28:22.800
<v Speaker 1>making technology selections.

0:28:23.080 --> 0:28:27.560
<v Speaker 4>Okay, so let's use best in practice. I'm an IT

0:28:27.920 --> 0:28:32.680
<v Speaker 4>leader at healthcare company. How do I ensure that I've

0:28:32.680 --> 0:28:35.840
<v Speaker 4>got everyone underneath me singing from the same hymn sheet

0:28:35.880 --> 0:28:38.240
<v Speaker 4>wanting to do the same thing with the AI tools

0:28:38.240 --> 0:28:40.000
<v Speaker 4>that I'm thinking of deploying. How are you seeing that

0:28:40.080 --> 0:28:41.320
<v Speaker 4>being enacted at the moment?

0:28:43.040 --> 0:28:43.280
<v Speaker 15>Yeah.

0:28:43.360 --> 0:28:46.920
<v Speaker 1>I think the biggest thing is data connectivity and the

0:28:47.080 --> 0:28:49.640
<v Speaker 1>access to the data, because AI is only as good

0:28:49.640 --> 0:28:52.160
<v Speaker 1>as the data you feed it. Right now, many AI

0:28:52.240 --> 0:28:57.360
<v Speaker 1>solutions are effectively islands that require entrepreneurial employees to figure

0:28:57.400 --> 0:28:59.080
<v Speaker 1>out how to use them and how to apply and

0:28:59.120 --> 0:29:02.200
<v Speaker 1>create value or their team and for their company. There's

0:29:02.320 --> 0:29:06.280
<v Speaker 1>no top level connectivity around strategy and what's important to

0:29:06.280 --> 0:29:09.000
<v Speaker 1>the organization, and so that's where the gap is. You

0:29:09.040 --> 0:29:11.160
<v Speaker 1>can't sing from the same song sheet if you don't

0:29:11.160 --> 0:29:13.320
<v Speaker 1>know what the plan is and how to execute it.

0:29:13.600 --> 0:29:16.320
<v Speaker 1>And AI needs that knowledge too. AI needs to know

0:29:16.680 --> 0:29:19.080
<v Speaker 1>how do you want to get work done? And that's

0:29:19.080 --> 0:29:20.720
<v Speaker 1>where quite a bit of the gap is. So what

0:29:20.760 --> 0:29:23.760
<v Speaker 1>I would say is for CIOs and strategical leaders, and

0:29:23.800 --> 0:29:26.480
<v Speaker 1>in the example you gave, it's first about data and

0:29:26.520 --> 0:29:29.920
<v Speaker 1>connectivity and then it's about safe and secure rollout. That's

0:29:30.000 --> 0:29:32.880
<v Speaker 1>mindful and cognizant of your goals as an organization.

0:29:34.680 --> 0:29:37.040
<v Speaker 5>Asanahead of AI, Page Castilla, Great to have you on

0:29:37.080 --> 0:29:37.640
<v Speaker 5>the program.

0:29:37.680 --> 0:29:38.040
<v Speaker 6>Thank you.

0:29:38.400 --> 0:29:40.840
<v Speaker 5>Another story that we're watching, chip Make is a racing

0:29:40.880 --> 0:29:44.200
<v Speaker 5>to feed the growing global AI boom, and Samsung is

0:29:44.280 --> 0:29:47.520
<v Speaker 5>laying down the gauntlet with a new research lab dedicated

0:29:47.760 --> 0:29:51.160
<v Speaker 5>to designing an entirely new type of semiconductor which is

0:29:51.240 --> 0:29:55.400
<v Speaker 5>needed for artificial general intelligence intelligence or AGI. It's a

0:29:55.440 --> 0:29:58.840
<v Speaker 5>long standing aspiration in AI development. The company's trying to

0:29:58.840 --> 0:30:01.560
<v Speaker 5>catch up with s k Heine after the smaller competitor

0:30:01.840 --> 0:30:04.640
<v Speaker 5>got a head start in a new type of advanced

0:30:04.680 --> 0:30:09.520
<v Speaker 5>memory semiconductor tailored for the use with invidious chips, carrot.

0:30:09.840 --> 0:30:13.080
<v Speaker 4>In videos, chips everywhere in our conversation today. Meanwhile, well,

0:30:13.160 --> 0:30:15.640
<v Speaker 4>let's go from AI to cyber and let's face it,

0:30:15.720 --> 0:30:18.160
<v Speaker 4>cybers being focused on in AI as well. We sit

0:30:18.200 --> 0:30:20.760
<v Speaker 4>down and the see of fast growing cybersecurity startup Whiz

0:30:20.800 --> 0:30:22.400
<v Speaker 4>to discuss everything.

0:30:22.360 --> 0:30:24.840
<v Speaker 8>M and A to the cloud, I suff wrapperports with us.

0:30:25.080 --> 0:30:30.120
<v Speaker 4>This is Blue meg Technology.

0:30:41.680 --> 0:30:42.680
<v Speaker 8>Time for VC Spotlight.

0:30:42.720 --> 0:30:45.200
<v Speaker 4>We've got a shiner light on the fast growing cybersecurity startup.

0:30:45.240 --> 0:30:48.000
<v Speaker 4>Whiz has already raised more than nine hundred million dollars

0:30:48.040 --> 0:30:50.560
<v Speaker 4>from investors and is now said to be making well

0:30:50.680 --> 0:30:53.320
<v Speaker 4>small acquisitions in the space potentially. We of course known

0:30:53.360 --> 0:30:55.400
<v Speaker 4>that it's been buying gem Security for three and fifty

0:30:55.400 --> 0:30:57.880
<v Speaker 4>million dollars. Joining us now to discuss the state of cybersecurity,

0:30:57.920 --> 0:31:02.520
<v Speaker 4>the company's rapid growth. We CEO asav Rappaport and it's

0:31:02.520 --> 0:31:05.640
<v Speaker 4>been what feels like a wellwind to everyone else. For you,

0:31:06.000 --> 0:31:08.840
<v Speaker 4>a grind of someone who is a serial entrepreneur who

0:31:08.840 --> 0:31:12.320
<v Speaker 4>has seen companies bought got inside Microsoft, come outside of Microsoft,

0:31:12.400 --> 0:31:13.840
<v Speaker 4>building a Microsoft competitor.

0:31:14.640 --> 0:31:15.240
<v Speaker 8>How do you.

0:31:16.120 --> 0:31:21.560
<v Speaker 4>Show what has made with so successful since you launched

0:31:21.560 --> 0:31:22.000
<v Speaker 4>in COVID.

0:31:22.600 --> 0:31:25.040
<v Speaker 14>So but basically again, we have a journey ahead of

0:31:25.120 --> 0:31:28.360
<v Speaker 14>us to be truly successful looking towards an IPO billion

0:31:28.400 --> 0:31:29.320
<v Speaker 14>dollar in revenues.

0:31:29.520 --> 0:31:31.480
<v Speaker 15>So it's just the beginning for US.

0:31:31.680 --> 0:31:33.520
<v Speaker 14>I think said that you talked about the tailwind, and

0:31:33.560 --> 0:31:36.680
<v Speaker 14>I think that the cyber market is definitely exploding. When

0:31:36.680 --> 0:31:39.520
<v Speaker 14>we're looking at the global markets, we're saying that, you know,

0:31:39.560 --> 0:31:43.160
<v Speaker 14>this is like the ultimate electioneer. Fifty percent of the

0:31:43.160 --> 0:31:45.719
<v Speaker 14>population of the of the world is going to election. Definitely,

0:31:45.760 --> 0:31:48.760
<v Speaker 14>here in the US, the gaol to political crisis that

0:31:48.760 --> 0:31:52.760
<v Speaker 14>we're saying are rising, AI introduces a new attack surface,

0:31:52.840 --> 0:31:56.840
<v Speaker 14>but both like cyber criminals are averaging that all of

0:31:56.920 --> 0:32:00.640
<v Speaker 14>that pushes for more and more, you know, need for

0:32:00.760 --> 0:32:05.280
<v Speaker 14>cybersecurity tools. Definitely, we look at twenty twenty three. Unfortunately,

0:32:05.440 --> 0:32:08.320
<v Speaker 14>twenty twenty three we had like more than thirty two

0:32:08.440 --> 0:32:11.640
<v Speaker 14>hundred reported data breaches in the world. This is the

0:32:11.720 --> 0:32:14.360
<v Speaker 14>peak that we had, and twenty twenty four and fourteen

0:32:14.360 --> 0:32:16.719
<v Speaker 14>doesn't look better. So definitely there is a huge demand.

0:32:17.200 --> 0:32:19.720
<v Speaker 14>And when you're addressing this demand, a huge market demand

0:32:19.720 --> 0:32:22.400
<v Speaker 14>and a huge market ten and you build a simple

0:32:22.440 --> 0:32:25.720
<v Speaker 14>solution for a complex problem that gives you some of

0:32:25.760 --> 0:32:26.760
<v Speaker 14>the tail that we had.

0:32:26.960 --> 0:32:29.280
<v Speaker 4>And that's how well evidence inspire some of the numbers

0:32:29.280 --> 0:32:31.120
<v Speaker 4>that were made public last year, or the three hundred

0:32:31.120 --> 0:32:34.840
<v Speaker 4>and fifty million run rate that of course helps you

0:32:34.920 --> 0:32:38.600
<v Speaker 4>guide towards an IPO and evaluation, but you're also looking

0:32:38.640 --> 0:32:39.880
<v Speaker 4>at MNA to beef.

0:32:39.800 --> 0:32:41.440
<v Speaker 8>P ahead of initial public offering.

0:32:41.600 --> 0:32:43.240
<v Speaker 4>What sort of companies do you need to add at

0:32:43.280 --> 0:32:44.880
<v Speaker 4>this moment rather than organic growth.

0:32:45.040 --> 0:32:49.400
<v Speaker 14>Yeah, definitely organic growth is our core focused and definitely

0:32:49.480 --> 0:32:51.520
<v Speaker 14>kind of innovation we're doing organically.

0:32:51.880 --> 0:32:53.640
<v Speaker 15>Having said that, and it's not unrelated to Whiz.

0:32:53.680 --> 0:32:56.560
<v Speaker 14>If you're looking at the last six months, two billion

0:32:56.600 --> 0:32:59.400
<v Speaker 14>dollars of acquisitions in the cybersecurity space, lots of them

0:32:59.400 --> 0:33:03.440
<v Speaker 14>by the way, in in Israel by four leaders, Palo

0:33:03.800 --> 0:33:07.640
<v Speaker 14>Alto Networks, CrowdStrike, zis Killer, and Wiz. So definitely we're

0:33:07.640 --> 0:33:11.080
<v Speaker 14>seeing that non organic opportunities are there when we're looking

0:33:11.080 --> 0:33:15.160
<v Speaker 14>at the market. Definitely, Threat detection CDR super important for

0:33:15.240 --> 0:33:18.000
<v Speaker 14>us to grow. When we're looking at AI, definitely another

0:33:18.080 --> 0:33:20.960
<v Speaker 14>focused area for us. But also if you shift left,

0:33:21.040 --> 0:33:23.560
<v Speaker 14>like looking more in the developers and code security, this

0:33:23.680 --> 0:33:25.800
<v Speaker 14>is a focus for us. So definitely we believe that

0:33:25.960 --> 0:33:27.920
<v Speaker 14>twenty twenty four for US is going to be the ear.

0:33:27.800 --> 0:33:32.680
<v Speaker 5>Of acquisitions self. Good morning from San Francisco. The Financial

0:33:32.760 --> 0:33:35.720
<v Speaker 5>Times reported on March eighth that you were raising more

0:33:35.800 --> 0:33:38.560
<v Speaker 5>money at evaluation above ten billion dollars.

0:33:39.040 --> 0:33:40.640
<v Speaker 6>I remember a year ago there are.

0:33:40.480 --> 0:33:42.720
<v Speaker 5>Lots of reports you were raising money at ten billion

0:33:42.760 --> 0:33:45.080
<v Speaker 5>dollar valuation, and then again in May in the summer,

0:33:45.440 --> 0:33:48.320
<v Speaker 5>just clarify for our audience, are you raising money and

0:33:48.360 --> 0:33:49.200
<v Speaker 5>at what valuation?

0:33:49.720 --> 0:33:51.560
<v Speaker 14>Look to ask a CEO of a startup, are you

0:33:51.640 --> 0:33:55.400
<v Speaker 14>raising money? It's probably always do it every day? No, no,

0:33:55.520 --> 0:33:58.080
<v Speaker 14>so not every day, And definitely our focus is on

0:33:58.120 --> 0:34:00.880
<v Speaker 14>building technology and attracting the best, So that's kind of

0:34:00.880 --> 0:34:03.360
<v Speaker 14>our focus. Having said that, I would say that there

0:34:03.400 --> 0:34:05.880
<v Speaker 14>is a lot of interest like our new publication of

0:34:06.400 --> 0:34:10.520
<v Speaker 14>Dali the COO and president of Ziscaler joining with the

0:34:10.560 --> 0:34:13.600
<v Speaker 14>publication of three hundred and fifty million dollars in revenues,

0:34:13.800 --> 0:34:16.880
<v Speaker 14>the publication of forty percent of the Fortune one hundred

0:34:17.200 --> 0:34:21.560
<v Speaker 14>are using Wiz today, and the exploding cybersecurity attracts a.

0:34:21.560 --> 0:34:24.040
<v Speaker 15>Lot of attention to Wiz. We enjoy it.

0:34:24.440 --> 0:34:27.719
<v Speaker 14>But again, when we have something to publish, we'll definitely

0:34:27.960 --> 0:34:28.880
<v Speaker 14>share it here in Bluber.

0:34:30.239 --> 0:34:34.239
<v Speaker 5>So let's go to where the value lays. What is

0:34:34.280 --> 0:34:38.120
<v Speaker 5>it from a technology perspective that's unique to whis relative

0:34:38.160 --> 0:34:39.600
<v Speaker 5>to your competitors.

0:34:40.200 --> 0:34:42.400
<v Speaker 14>I think that if you look at what Whiz is

0:34:42.400 --> 0:34:45.800
<v Speaker 14>doing Basically, what we're doing is helping organization to protect

0:34:46.120 --> 0:34:49.560
<v Speaker 14>everything they run and build in their cloud. And the

0:34:49.600 --> 0:34:53.000
<v Speaker 14>cloud environment is one of the most complex environments in

0:34:53.040 --> 0:34:56.560
<v Speaker 14>the world. You know, new technologies are thriving there. It's

0:34:56.560 --> 0:34:59.600
<v Speaker 14>not only centralized by IT or security, it's led by

0:34:59.680 --> 0:35:00.920
<v Speaker 14>develop person devlops.

0:35:00.920 --> 0:35:02.680
<v Speaker 15>So definitely this supposes.

0:35:02.200 --> 0:35:06.000
<v Speaker 14>Like new challenges to organizations and with that kind of

0:35:06.000 --> 0:35:08.120
<v Speaker 14>we need a new approach. I think that we're seeing

0:35:08.200 --> 0:35:11.719
<v Speaker 14>like legacy companies that have like super good like technology

0:35:11.719 --> 0:35:14.680
<v Speaker 14>in network security or in endpoint security, but definitely you

0:35:14.680 --> 0:35:16.960
<v Speaker 14>need like the cloud security company, and I think organization

0:35:17.080 --> 0:35:19.760
<v Speaker 14>now understand that that you cannot solve with legacy solution

0:35:20.160 --> 0:35:23.040
<v Speaker 14>new problems and definitely invest in kind of the new

0:35:23.040 --> 0:35:29.040
<v Speaker 14>initiative in cloud security.

0:35:27.080 --> 0:35:27.640
<v Speaker 6>In that vein.

0:35:27.719 --> 0:35:30.319
<v Speaker 5>Then what is the biggest tail wind to WIZ but

0:35:30.400 --> 0:35:33.880
<v Speaker 5>also the industry right what is the headwind to companies

0:35:33.920 --> 0:35:36.319
<v Speaker 5>that need to spend on security right now?

0:35:36.400 --> 0:35:37.240
<v Speaker 6>Cybersecurity?

0:35:38.000 --> 0:35:40.480
<v Speaker 14>I definitely think that the tailwind, and definitely in cloud

0:35:40.520 --> 0:35:43.560
<v Speaker 14>security is probably AI. And we're talking a lot about that,

0:35:43.719 --> 0:35:47.759
<v Speaker 14>so AI introduce us not only kind of I think

0:35:47.920 --> 0:35:51.160
<v Speaker 14>like two new challenges in a way. One is is

0:35:51.200 --> 0:35:53.399
<v Speaker 14>definitely it's a new attack surface. If you're looking at

0:35:53.400 --> 0:35:57.080
<v Speaker 14>like the prompt, the AI pipeline, the data that you're

0:35:57.120 --> 0:35:59.400
<v Speaker 14>using in EI, the models that you're using, all of

0:35:59.440 --> 0:36:02.919
<v Speaker 14>that is net new attack surface for organizations. So that's

0:36:02.960 --> 0:36:05.880
<v Speaker 14>one focused area. But it's not only that. It's also

0:36:06.040 --> 0:36:09.960
<v Speaker 14>a I that is being leveraged by cyber criminals. Criminals actually,

0:36:10.000 --> 0:36:13.560
<v Speaker 14>to be honest, they're doing a better job probably leveraging

0:36:13.880 --> 0:36:16.840
<v Speaker 14>gen AI today in their attacks and fueling their attacks

0:36:17.040 --> 0:36:19.480
<v Speaker 14>then as is the defenders using it for our RBX.

0:36:19.480 --> 0:36:22.719
<v Speaker 14>So definitely this is a great opportunity for us to

0:36:22.920 --> 0:36:26.280
<v Speaker 14>use this technology and to leverage into the cyber defenders.

0:36:26.920 --> 0:36:30.200
<v Speaker 8>What's the hardest part of your job right now?

0:36:30.640 --> 0:36:34.120
<v Speaker 14>Oh, the hardest is always, since the beginning, is attracting

0:36:34.200 --> 0:36:37.799
<v Speaker 14>the best talent, like the company and you can put

0:36:37.800 --> 0:36:41.040
<v Speaker 14>the technology ap even customer. It's all about eventually, it's

0:36:41.239 --> 0:36:43.440
<v Speaker 14>always get to the talent. You know, we're talking we

0:36:43.640 --> 0:36:46.880
<v Speaker 14>you know, we raise nine hundred million dollars, we're expanding,

0:36:46.960 --> 0:36:49.880
<v Speaker 14>We're about to recruit four hundred people in the US

0:36:49.920 --> 0:36:52.640
<v Speaker 14>in the in twenty twenty four. To find amazing four

0:36:52.680 --> 0:36:53.320
<v Speaker 14>hundred people.

0:36:53.640 --> 0:36:54.680
<v Speaker 6>That's truly tough job.

0:36:54.760 --> 0:36:56.840
<v Speaker 4>And then You're based here now in New York, so

0:36:56.840 --> 0:36:59.960
<v Speaker 4>they could be New York people for four hundred or everywhere.

0:37:00.160 --> 0:37:02.560
<v Speaker 14>So we're a global company, definitely focused on the on

0:37:02.600 --> 0:37:04.800
<v Speaker 14>the US market. New York is kind of our headquarters,

0:37:04.840 --> 0:37:07.719
<v Speaker 14>so definitely lots of focus here. But we have an

0:37:07.719 --> 0:37:09.880
<v Speaker 14>Austin office when if we have a DC office. We

0:37:09.960 --> 0:37:13.800
<v Speaker 14>have a huge presence in California. So definitely in the US,

0:37:13.880 --> 0:37:16.600
<v Speaker 14>but also globally. I think that you know, unlike other

0:37:16.680 --> 0:37:19.600
<v Speaker 14>markets cloud for example, in cloud security, you know, it's

0:37:19.600 --> 0:37:22.800
<v Speaker 14>not like hey, INMEA or APAK are following the US

0:37:23.000 --> 0:37:25.480
<v Speaker 14>in some fronts, there are actually more advanced than us

0:37:25.480 --> 0:37:26.200
<v Speaker 14>here in the US.

0:37:26.960 --> 0:37:28.920
<v Speaker 4>Wow, I'm sure that's enough to keep you up at night.

0:37:29.160 --> 0:37:32.600
<v Speaker 4>We thank you so much with CEO Asaf Rappaport, and

0:37:32.920 --> 0:37:34.920
<v Speaker 4>hopefully we'll have him back when you can articulate just

0:37:34.960 --> 0:37:37.799
<v Speaker 4>what the valuation is soon enough and how much they're

0:37:37.840 --> 0:37:38.879
<v Speaker 4>always seemingly raising.

0:37:38.920 --> 0:37:39.920
<v Speaker 8>We thank you so much.

0:37:46.840 --> 0:37:50.200
<v Speaker 4>Google has just announced a slew of initiatives to deploy

0:37:50.280 --> 0:37:53.920
<v Speaker 4>its artificial intelligence models in healthcare in particular, and that

0:37:53.960 --> 0:37:56.560
<v Speaker 4>includes a tool that will help fitbit users glean insights

0:37:56.560 --> 0:37:59.839
<v Speaker 4>from them wearable devices and a partnership to improve screenings

0:38:00.160 --> 0:38:02.880
<v Speaker 4>cancer and disease over in India be brought up with

0:38:02.920 --> 0:38:06.279
<v Speaker 4>Google's chief Health Officer, doctor Karen DeSalvo, just moments ago.

0:38:06.320 --> 0:38:06.799
<v Speaker 8>Take a listen.

0:38:08.160 --> 0:38:12.399
<v Speaker 16>Such an exciting time in healthcare because AI has reached

0:38:12.440 --> 0:38:16.080
<v Speaker 16>this inflection point where it is now capable of being

0:38:16.160 --> 0:38:19.520
<v Speaker 16>an adjunct and assistant to augmenting the work that doctors

0:38:19.560 --> 0:38:22.560
<v Speaker 16>and nurses and other people in healthcare already need to

0:38:22.560 --> 0:38:27.640
<v Speaker 16>do and extending the reach of clinical practice to improve

0:38:27.840 --> 0:38:30.840
<v Speaker 16>access to care. Sometimes I'm very jealous of doctors that

0:38:30.880 --> 0:38:33.480
<v Speaker 16>are just starting out in the field because they have

0:38:33.600 --> 0:38:35.840
<v Speaker 16>this new tool in their toolbox that they're going to

0:38:35.840 --> 0:38:38.399
<v Speaker 16>get to use across their career. And the way that

0:38:38.680 --> 0:38:40.960
<v Speaker 16>when penicillin was discovered, it was a new tool in

0:38:41.000 --> 0:38:44.800
<v Speaker 16>the toolbox. So we're already seeing that AI is helpful

0:38:44.880 --> 0:38:48.839
<v Speaker 16>in improving speed to diagnosis. For example, where we're doing

0:38:48.920 --> 0:38:52.360
<v Speaker 16>some work with Apollo Hospitals in India to extend the

0:38:52.440 --> 0:38:56.640
<v Speaker 16>ability of that health system to diagnose cancers earlier, like

0:38:56.719 --> 0:38:59.560
<v Speaker 16>long and breast cancer, so they can reach people who

0:39:00.239 --> 0:39:02.880
<v Speaker 16>wouldn't have that kind of access to care. So thinking

0:39:02.920 --> 0:39:05.799
<v Speaker 16>about how it's a wonderful augment to the work that

0:39:05.880 --> 0:39:09.080
<v Speaker 16>needs to happen in clinical practice and makes that practice

0:39:09.120 --> 0:39:12.600
<v Speaker 16>more efficient, but also gives people more access to It's

0:39:12.600 --> 0:39:14.160
<v Speaker 16>a really exciting opportunity.

0:39:14.480 --> 0:39:17.000
<v Speaker 4>Can you articulate some of the ways in which Google

0:39:17.000 --> 0:39:20.279
<v Speaker 4>in particular is able to use its own innovations, its

0:39:20.280 --> 0:39:24.920
<v Speaker 4>own products that it's already brought into the field to

0:39:24.960 --> 0:39:26.040
<v Speaker 4>be able to help with health.

0:39:27.200 --> 0:39:29.200
<v Speaker 16>We talked a lot about these at the Checkup, which

0:39:29.239 --> 0:39:31.040
<v Speaker 16>is an annual event where we kind of mark the

0:39:31.080 --> 0:39:33.840
<v Speaker 16>progress of how things are going and how we're working

0:39:33.880 --> 0:39:37.759
<v Speaker 16>with partners, but also how we're directly helping consumers. I'll

0:39:37.760 --> 0:39:39.960
<v Speaker 16>give you an example of how we're building it directly

0:39:40.000 --> 0:39:43.040
<v Speaker 16>into some of our products to work with consumers. So

0:39:43.160 --> 0:39:47.440
<v Speaker 16>on fitbit, where people already get advice about steps or

0:39:47.480 --> 0:39:51.799
<v Speaker 16>sleep or nutrition, we're creating what's called a personal large

0:39:51.880 --> 0:39:55.720
<v Speaker 16>language model. So we're creating a new AI that's personalized

0:39:55.719 --> 0:39:58.359
<v Speaker 16>to you so that it know with your consent, knows

0:39:58.400 --> 0:40:01.560
<v Speaker 16>your sleep and your steps, sort of other characteristics about

0:40:01.560 --> 0:40:04.400
<v Speaker 16>your day and your exercise, and can give you personal

0:40:04.440 --> 0:40:07.120
<v Speaker 16>coaching that gives you those nudges that are going to

0:40:07.160 --> 0:40:09.480
<v Speaker 16>matter most to you because it's reflective of what your

0:40:09.560 --> 0:40:12.319
<v Speaker 16>experience has I'm personally very excited about this. Also, I'm

0:40:12.360 --> 0:40:14.640
<v Speaker 16>a person who's a runner, and it's really it'd be

0:40:14.680 --> 0:40:18.600
<v Speaker 16>so exciting to have that personal AI coach built into

0:40:19.000 --> 0:40:22.239
<v Speaker 16>our watch devices like Fitbit over time and pretty soon

0:40:22.280 --> 0:40:23.799
<v Speaker 16>we're going to allow people to start to opt in

0:40:24.040 --> 0:40:28.760
<v Speaker 16>to help us build and a mature that personal LLM.

0:40:28.800 --> 0:40:32.360
<v Speaker 4>Doctor Karen DeSalvo, chief health officer at Google and what

0:40:32.400 --> 0:40:32.600
<v Speaker 4>have you.

0:40:32.600 --> 0:40:35.240
<v Speaker 6>Got time for? Talking tech? And in the news.

0:40:35.280 --> 0:40:38.400
<v Speaker 5>First Stop shot Back and online shopping rewards app backed

0:40:38.400 --> 0:40:41.839
<v Speaker 5>by Temasek, is cutting about a quarter of its workforce

0:40:42.120 --> 0:40:44.480
<v Speaker 5>is it retreats from the buy now pay Lata space.

0:40:44.760 --> 0:40:47.480
<v Speaker 5>The CEO says the company's eliminating twenty four percent of

0:40:47.560 --> 0:40:51.839
<v Speaker 5>staff to become more focused and self sustainable. Plus go

0:40:51.880 --> 0:40:54.080
<v Speaker 5>To plans to buy back as much as two hundred

0:40:54.080 --> 0:40:57.440
<v Speaker 5>million dollars of stock after recording its first ever profit

0:40:57.760 --> 0:41:00.319
<v Speaker 5>on an adjusted basis. To Stop buy Back is the

0:41:00.360 --> 0:41:03.080
<v Speaker 5>first ever for go To, which hopes to soak investor

0:41:03.120 --> 0:41:08.560
<v Speaker 5>confidence even as competition intensifies. And George Lucas, the legendary

0:41:08.560 --> 0:41:12.480
<v Speaker 5>Hollywood filmmakers, said he would support Disney CEO Bob Iger

0:41:12.760 --> 0:41:16.279
<v Speaker 5>in his POxy battle with activists investors. Lucas became a

0:41:16.360 --> 0:41:20.120
<v Speaker 5>significant shareholder years ago when he sold his production company

0:41:20.160 --> 0:41:22.520
<v Speaker 5>to Disney, and in a statement this morning, he says

0:41:22.560 --> 0:41:25.399
<v Speaker 5>he has quote full faith and confidence in the power

0:41:25.400 --> 0:41:28.840
<v Speaker 5>of Disney and Bob's track record driving long term value.

0:41:29.000 --> 0:41:31.160
<v Speaker 6>Caro, the force is with Bob Iger.

0:41:32.360 --> 0:41:34.399
<v Speaker 4>And I'm very pleased to say that we're in full

0:41:34.440 --> 0:41:35.680
<v Speaker 4>force with you back as well.

0:41:35.840 --> 0:41:35.880
<v Speaker 10>Ed.

0:41:36.080 --> 0:41:38.160
<v Speaker 4>That does it for this edition of bluemog Technology.

0:41:39.000 --> 0:41:40.560
<v Speaker 6>All right, don't forget to check out the pod.

0:41:40.640 --> 0:41:42.840
<v Speaker 5>Thank you so much to those the listening to the

0:41:42.840 --> 0:41:46.279
<v Speaker 5>podcast all around the world, Apple, Spotify, iHeart and all

0:41:46.320 --> 0:41:47.440
<v Speaker 5>the Bloomberg platforms.

0:41:47.640 --> 0:41:48.400
<v Speaker 6>This is bloomberb