WEBVTT - Apple Shares Slide and AMD Faces Chinese Market Roadblocks

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<v Speaker 1>From Marhart where Innovation of Money and Power Collie in

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<v Speaker 1>Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlove.

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<v Speaker 3>I'm Caroline Heydet Bloomberg's World head quarters in New York,

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<v Speaker 3>and I'm Met Ludlow in San Francisco.

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<v Speaker 4>This is Bloomberg Technology coming up.

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<v Speaker 3>Apple shares slide for a fifth day. That is, the

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<v Speaker 3>iPhone maker sees a big drop in China sales to

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<v Speaker 3>start off the week with a stock in correction. Will

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<v Speaker 3>break down everything you need to know.

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<v Speaker 5>Plus we stay with China as AMD faces a US

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<v Speaker 5>roadblock in selling its artificial intelligence chips in the Chinese market.

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<v Speaker 4>Bloomberg Exclusive ahead.

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<v Speaker 3>And Bitcoin oh it hits a fresh record for the

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<v Speaker 3>first time since its peak back in November twenty twenty one.

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<v Speaker 3>We'll have full coverage of the digital currency market and

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<v Speaker 3>those meancoin come up in the rush. There's so much

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<v Speaker 3>more going on throughout this hour. Let's first check in

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<v Speaker 3>on these markets because what bitcoins up. The rest of

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<v Speaker 3>the market still trying to digest some of the run

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<v Speaker 3>up that we've seen in particularly the AI related names,

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<v Speaker 3>and we focus in on what is some mixed economic

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<v Speaker 3>data today, the US showing some services weakness, and we

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<v Speaker 3>look ahead to testimony coming from J. Powell on the Hill,

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<v Speaker 3>his semi annual experience over in terms of the politicians,

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<v Speaker 3>what will the grilling mean? How much will he be

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<v Speaker 3>reticent to say that they're looking at those rate cuts

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<v Speaker 3>anytime soon. We're looking at one point eight percent down

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<v Speaker 3>on the Nasdaq now, so big tech feeling some of

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<v Speaker 3>the big pain. As we talk China, ed, I want

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<v Speaker 3>to focus a line on what's happening in China. These

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<v Speaker 3>of course, these traded names here in the United States

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<v Speaker 3>with the Golden Dragon index of five percentage point. As

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<v Speaker 3>we see a five percent growth perspective coming from China

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<v Speaker 3>that target, how will they get there and ultimately what

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<v Speaker 3>is the debt that they're going to be issuing fueling

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<v Speaker 3>in terms of the focus on AI on technology coming

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<v Speaker 3>from China not en After buoying the stocks today in

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<v Speaker 3>the Chinese names, I'm looking at the tenure yield off

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<v Speaker 3>by seven basis points as we anticipate the FED and

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<v Speaker 3>Jpowe's speech move on, have a look at what is

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<v Speaker 3>happening in the asset class that we need to discuss

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<v Speaker 3>a little bit today. Bitcuinn does manage to hit that

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<v Speaker 3>all time high. We're above sixty nine thousand. Happened and

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<v Speaker 3>just after about nine am, nine thirty ten am, but

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<v Speaker 3>we're looking at a sixty six back to at the

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<v Speaker 3>moments and profit taking is we hit that psychological level already.

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<v Speaker 3>We've seen the market capitalization eclips that of twenty twenty

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<v Speaker 3>one because of because there's more bitcoin in supply and

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<v Speaker 3>they are worth up to one point sixty nine thousand.

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<v Speaker 3>We're currently up nine point nine percent, as we'll see

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<v Speaker 3>over the course of what has been a mega run

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<v Speaker 3>throughout twenty twenty four, in particular twenty twenty three though

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<v Speaker 3>they were in the doldrums, and twenty twenty two. But

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<v Speaker 3>we are back at that level that we hit in

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<v Speaker 3>November twenty twenty one. And what are you watching on

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<v Speaker 3>the micro.

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<v Speaker 5>There is a lot in the newsflow that is hitting

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<v Speaker 5>technology shares. Tesla down almost five percent. A fire near

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<v Speaker 5>its Berlin plant has halted production. Officials are investigating if

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<v Speaker 5>arson was the cause of that fire.

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<v Speaker 4>That's one news item.

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<v Speaker 5>The other is data out a China that's a little softer,

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<v Speaker 5>showing that maybe growth in China sales to Tesla not

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<v Speaker 5>as strong that stock under pressure. Two other big stories

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<v Speaker 5>we're watching. We're going to head to DC in just

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<v Speaker 5>a minute. Bloomberg reporting that US officials are going to

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<v Speaker 5>block AMD selling a made for China lower spec GPU

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<v Speaker 5>or AI accelerator. It's something similar to what Nvidia did,

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<v Speaker 5>and that seems to be weighing on shares two down

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<v Speaker 5>one point eight percent, but in line with the broader market.

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<v Speaker 5>Then you have Apple down two point eight percent, trading

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<v Speaker 5>at its lowest level since October. We have data from

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<v Speaker 5>Counterpoint Research, and that data shows that in the first

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<v Speaker 5>six weeks of twenty twenty four, sales of the iPhone

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<v Speaker 5>in China fell twenty four percent year on year compared

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<v Speaker 5>to that same six week period a year ago. I

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<v Speaker 5>want to bring in bloombergs Mark German and go through

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<v Speaker 5>this data because the data also shows that other handset

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<v Speaker 5>makers had a surge in sales, and so therefore the

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<v Speaker 5>market ches picture in China, Mark is changing. With Apple

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<v Speaker 5>dropping below sixteen percent and Huawei now back above sixteen percent.

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<v Speaker 4>What's going on?

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<v Speaker 6>You know?

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<v Speaker 7>This is this is hugely significant. We've known for a

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<v Speaker 7>couple quarters now that Apple has been running into roadblocks

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<v Speaker 7>in China. Certainly that new Huawei phone has been very popular,

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<v Speaker 7>that new made device with the locally designed processor we've known.

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<v Speaker 7>For a while, there's been this sense of renewed nationalism

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<v Speaker 7>in China where people are, you know, maybe putting Apple

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<v Speaker 7>purchases a little bit on the back burner and focusing

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<v Speaker 7>on purchases from state side companies. They also have been banned.

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<v Speaker 7>There's been some bands and some organizations owned by governments,

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<v Speaker 7>government entities where they don't want American made devices, they

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<v Speaker 7>don't want Korean made devices like Samsung. So the impact

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<v Speaker 7>has been there. But what's so interesting about this first

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<v Speaker 7>six week's number is that it's actually a little bit

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<v Speaker 7>worse than it seems on the surface. Right, let's do

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<v Speaker 7>a comparison. So what happened last year? The iPhone fourteen

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<v Speaker 7>Pro came out. Now, obviously that was not as a

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<v Speaker 7>significant of an update as the iPhone fifteen Pro. So

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<v Speaker 7>from that perspective, you'd think that a nicer phone, new design, titanium,

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<v Speaker 7>that would sell better. But then we also remember that

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<v Speaker 7>there were no supply chain issues this year and last

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<v Speaker 7>year there were significant supply chain issues. There was a

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<v Speaker 7>lot of pent up demand for the iPhone in the

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<v Speaker 7>first six weeks of twenty twenty three, because you really

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<v Speaker 7>couldn't find an iPhone fourteen Pro or Promax at the

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<v Speaker 7>tail end of twenty twenty two. So not only is

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<v Speaker 7>Apple down, they're down in comparison to a phone that

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<v Speaker 7>was not as big of an.

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<v Speaker 4>Upgrade, and they're.

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<v Speaker 7>Down when there was so much pent up demand for

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<v Speaker 7>this device. So clearly not a terrific situation here, but

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<v Speaker 7>I do see some momentum shifting. The iPhone sixteen Pro

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<v Speaker 7>is going to launch later this year. There are some

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<v Speaker 7>cool new camera features that could excite that market. The

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<v Speaker 7>other thing to note is that the Apple Vision Pro

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<v Speaker 7>mixed reality. That's a pretty popular technology in China and

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<v Speaker 7>in Asia in general, and I expect China to be

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<v Speaker 7>one of the first markets to get that headset.

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<v Speaker 4>So it's not all.

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<v Speaker 7>Bad for Apple and China. There is going to be

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<v Speaker 7>a little bit of a shift here, I think later

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<v Speaker 7>in the year.

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<v Speaker 3>I mean, thus far as data coming from center point counterpoint,

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<v Speaker 3>it's their narrative, it's not Apples. What are we hearing

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<v Speaker 3>from Apple to try and regain that narrative? You, of

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<v Speaker 3>course pushed out a story yesterday about how they've been

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<v Speaker 3>updating some of their MacBook airs at the moment, so

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<v Speaker 3>clearly bringing in faster chips. But we need to hear

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<v Speaker 3>a little bit more about artificial intelligence as well. Your

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<v Speaker 3>amazing scoop last week about the fact that they're putting

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<v Speaker 3>back on the car, putting their technology experts to work

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<v Speaker 3>in AGI more focused and generative AI. Does that mean

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<v Speaker 3>that we could start to see a refresh and exuberance

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<v Speaker 3>around purchasing.

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<v Speaker 7>Yeah, I mean the big question is if a lot

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<v Speaker 7>of these new AI features are going to be available globally, right,

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<v Speaker 7>it could be sensible that Apple first roles now in

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<v Speaker 7>English speaking countries, right, and then they have a long

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<v Speaker 7>roadmap ahead to expand the artificial intelligence features to China

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<v Speaker 7>and some of the international regions. I'm not sure that

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<v Speaker 7>AI is going to give a significant boost to their

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<v Speaker 7>product sales. I think the AI would be better served

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<v Speaker 7>in terms of new revenue for future products. What kind

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<v Speaker 7>of new devices can you enable thanks to AI? Right,

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<v Speaker 7>things like more advanced headsets, augmented reality glasses, AirPods with cameras,

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<v Speaker 7>tabletop robotics devices and before was canceled the car of course,

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<v Speaker 7>so certainly that's something to watch. Apple's not saying much

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<v Speaker 7>when they last spoke, they seemed pretty you know, excited

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<v Speaker 7>about what's going on in China. They were referencing Counterpoints

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<v Speaker 7>previous report that indicated the iPhone is doing extremely well,

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<v Speaker 7>and everyone who talked negatively about Apple and China was

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<v Speaker 7>completely wrong. So this is a complete narrative shift. Now

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<v Speaker 7>again the first thing you said, I think was really important.

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<v Speaker 7>This is Counterpoints narrative. This is Counterpoints numbers. Now, some

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<v Speaker 7>times these numbers are correct, sometimes they're completely incorrect. I

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<v Speaker 7>would say, on average, they give a fair idea of

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<v Speaker 7>what's going on. So it's possible the real situation is

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<v Speaker 7>not as bad as Counterpoint is indicating today. But certainly

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<v Speaker 7>there is some indicator from them at least that things

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<v Speaker 7>are not as great as one would hope. If you

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<v Speaker 7>are an Apple.

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<v Speaker 3>Shareholder, certainly it's taken a big hit to market capitalization

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<v Speaker 3>over the course of this year. Mark German as always

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<v Speaker 3>so fantastic to run through all Apple with you. Meanwhile,

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<v Speaker 3>let's just stay with China as a narrative right now,

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<v Speaker 3>because US officials actually told chip maker AMD is artificial

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<v Speaker 3>intelligence chip designed for the Chinese market, it's too powerful.

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<v Speaker 3>They can't sell it without a license. From the Commerce Department.

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<v Speaker 3>For more on that particular scoop as Blue Megs Mackenzie

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<v Speaker 3>Hawkins and well, what's interesting is AMD hadn't really been

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<v Speaker 3>discussing what they were making for China, but you got

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<v Speaker 3>the inside.

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<v Speaker 6>Track, that's right.

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<v Speaker 8>So we've actually seen this story play out before with

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<v Speaker 8>AMD's main American rival and Video, which publicly said we

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<v Speaker 8>are trying to design an a processor for the Chinese

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<v Speaker 8>market to align with US export controls after those initial

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<v Speaker 8>curbs were put in place in October twenty twenty two,

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<v Speaker 8>and then the US moved to tighten those restrictions about

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<v Speaker 8>a year later October twenty three, that captured in Video's chip.

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<v Speaker 8>The US said, you can't sell that to Chinese customers.

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<v Speaker 8>It allows them to develop AI models that pose a

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<v Speaker 8>security risk. And since then we've seen in Video release

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<v Speaker 8>new processors for China that they say align with even

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<v Speaker 8>the stricter restrictions, and also am D trying to get

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<v Speaker 8>into this market as well. AMD debuted a new suite

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<v Speaker 8>of AI chips in December called the Mi I three

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<v Speaker 8>hundred series, and this China specific chip is a less

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<v Speaker 8>powerful version of that broader lineup of products.

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<v Speaker 5>Right, the important thing here is there are two potential

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<v Speaker 5>lines of rules that AMD has to follow. There is

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<v Speaker 5>a technological restriction, a sort of blanket rule that says

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<v Speaker 5>you cannot offer anything in China di spec, and then

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<v Speaker 5>there's the end user specific rule, which says you cannot

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<v Speaker 5>sell to this company. Do we know which one AMD

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<v Speaker 5>is caught by.

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<v Speaker 8>It's not yet clear which Chinese customer was trying to

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<v Speaker 8>buy AMD's chips. So basically the process that they went

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<v Speaker 8>through is there's a set of chips that are just

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<v Speaker 8>deemed too powerful no matter what. If you have chips

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<v Speaker 8>at those specs, you need to apply for a US

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<v Speaker 8>government license. Then there's a lower tier of chips, for

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<v Speaker 8>which you have to notify the US government of your

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<v Speaker 8>intent to sell those chips to a Chinese customer, and

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<v Speaker 8>they let you know whether you need a license. So

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<v Speaker 8>that's what happened to AMD. They designed a chip that

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<v Speaker 8>fell below the highest threshold, the most strict cutoff, but

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<v Speaker 8>the US said, actually, you're not allowed to get an

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<v Speaker 8>exemption from the overall licensing regime and you are going

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<v Speaker 8>to have to go through this onerous process. And now

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<v Speaker 8>it remains to be seen whether AMD is actually trying

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<v Speaker 8>to do that, or whether they'll pivot away from this strategy.

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<v Speaker 5>An AMD down one point eight percent, that the entire

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<v Speaker 5>sox is and other chip names too, Bloombergs Mackenzie Hawkins

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<v Speaker 5>terrific reporting.

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<v Speaker 4>Thank you.

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<v Speaker 5>Meanwhile, I has pledged to harness the entire nation's resources

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<v Speaker 5>to speed homegrown scientific breakthroughs, reaffirming its priority to become

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<v Speaker 5>self reliant in spheres from AI to chip making, to

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<v Speaker 5>rest technological supremacy from the US.

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<v Speaker 4>At Day one of the.

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<v Speaker 5>National People's Congress, Premier Lee Chang laid out the nation's priorities,

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<v Speaker 5>which are still technological innovation and upgrading its industries, including

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<v Speaker 5>new energy vehicles.

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<v Speaker 4>Caroline, Well, let's.

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<v Speaker 3>Go over to what's happening in the world of politics

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<v Speaker 3>right now because it affects the world of technology. On

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<v Speaker 3>this Super Tuesday, we're going to be discussing the impact

0:11:34.080 --> 0:11:38.040
<v Speaker 3>of AI misinformation and what local election offices can be

0:11:38.080 --> 0:11:41.280
<v Speaker 3>doing to prepare for that conversation coming up next. Meanwhile,

0:11:41.600 --> 0:11:44.240
<v Speaker 3>check out what's happening with meta shares. We're off by

0:11:44.240 --> 0:11:46.600
<v Speaker 3>one point eight percent. Yes, the rest of technology is

0:11:46.640 --> 0:11:49.080
<v Speaker 3>off in sympathy today, but more broadly, we're looking at

0:11:49.080 --> 0:11:52.000
<v Speaker 3>reports that showing meta services are having issues now. Down

0:11:52.040 --> 0:11:56.880
<v Speaker 3>Detector reporting plenty of problems, whether it be across Facebook, Instagram,

0:11:56.920 --> 0:12:00.480
<v Speaker 3>and Messenger at the moment. Ironically, on x the Rifle

0:12:00.520 --> 0:12:04.000
<v Speaker 3>platform is where we heard from meta communications director Andy

0:12:04.000 --> 0:12:06.600
<v Speaker 3>Stone saying they are aware of people having issues accessing

0:12:06.640 --> 0:12:09.520
<v Speaker 3>its services and they're working on a fix. This is

0:12:09.520 --> 0:12:25.600
<v Speaker 3>the Bloomberg Technology. Now, let's get into the latest from

0:12:25.600 --> 0:12:29.240
<v Speaker 3>today's Super Tuesday primaries and caucus is happening across the country.

0:12:29.440 --> 0:12:32.320
<v Speaker 3>Bloomberg's Kaylee Lines has been very busy in anticipation of

0:12:32.360 --> 0:12:34.920
<v Speaker 3>this day and throughout it. Kaylee, what are we bracing for?

0:12:36.360 --> 0:12:38.920
<v Speaker 9>Well, we're bracing for what could, effectively, Caroline be the

0:12:38.920 --> 0:12:41.600
<v Speaker 9>start of the general election tonight, because the front runner

0:12:41.640 --> 0:12:44.640
<v Speaker 9>in the Republican primary, Donald Trump, could very well sweep

0:12:44.679 --> 0:12:47.840
<v Speaker 9>all fifteen of these states, which would get him not

0:12:48.000 --> 0:12:50.560
<v Speaker 9>exactly at the very close to the twelve hundred and

0:12:50.559 --> 0:12:53.760
<v Speaker 9>fifteen delegates he needs to secure the nomination. Of course,

0:12:53.800 --> 0:12:56.199
<v Speaker 9>Nikki Hayley still is in the race. He has committed

0:12:56.200 --> 0:12:58.720
<v Speaker 9>to staying in through the contest today, but it is

0:12:58.800 --> 0:13:02.000
<v Speaker 9>unclear if her campaign last beyond today, should she not

0:13:02.120 --> 0:13:04.720
<v Speaker 9>actually come out as the victor in any of these states.

0:13:04.720 --> 0:13:06.680
<v Speaker 9>The states to watch for her could be the likes

0:13:06.880 --> 0:13:09.560
<v Speaker 9>of Vermont, maybe even of Virginia, but if she can't

0:13:09.559 --> 0:13:11.440
<v Speaker 9>win in those states is highly unlikely she will be

0:13:12.080 --> 0:13:14.200
<v Speaker 9>victorious in any others. It's worth keeping in mind that

0:13:14.240 --> 0:13:17.439
<v Speaker 9>Heley does have financing theoretically to continue her campaign as

0:13:17.440 --> 0:13:20.439
<v Speaker 9>she continually pulls in millions of dollars from donors twelve

0:13:20.440 --> 0:13:22.520
<v Speaker 9>million in the month of February. Her campaign says another

0:13:22.600 --> 0:13:25.240
<v Speaker 9>one million so far in March. But mathematically it just

0:13:25.320 --> 0:13:27.480
<v Speaker 9>might not be possible for her to secure the nomination

0:13:27.640 --> 0:13:29.640
<v Speaker 9>after tonight, which means we could be looking down the

0:13:29.679 --> 0:13:33.400
<v Speaker 9>rematch tunnel here of Trump versus Joe Biden, who also

0:13:33.520 --> 0:13:35.520
<v Speaker 9>is highly likely to come out on top on all

0:13:35.520 --> 0:13:37.360
<v Speaker 9>of the Democratic primary states today.

0:13:38.280 --> 0:13:41.080
<v Speaker 5>Kaylee, I'm looking forward to joining you in Bloomberg's Joe

0:13:41.160 --> 0:13:44.440
<v Speaker 5>Matthew this evening with our special show and coverage.

0:13:44.480 --> 0:13:45.320
<v Speaker 4>When you look at.

0:13:45.200 --> 0:13:48.360
<v Speaker 5>California, right, Trump and Biden basically say, I just want

0:13:48.400 --> 0:13:50.080
<v Speaker 5>to get it out the way, get it done, even

0:13:50.120 --> 0:13:53.559
<v Speaker 5>though it's the most populous state. What's probably more interesting

0:13:53.960 --> 0:13:56.439
<v Speaker 5>is some of the dollars that originate from the state

0:13:56.960 --> 0:13:58.880
<v Speaker 5>and some of the initiatives that they're backing.

0:14:00.360 --> 0:14:03.280
<v Speaker 9>Yeah, absolutely in the down ballot races. Specifically, if you

0:14:03.320 --> 0:14:05.840
<v Speaker 9>look at the Senate primary, for example, this is to

0:14:05.880 --> 0:14:08.920
<v Speaker 9>replace the late Senator Diane Feinstein. In California, you have

0:14:09.080 --> 0:14:12.120
<v Speaker 9>three Democratic members of the House, Adam Schiff, Katie Porter,

0:14:12.360 --> 0:14:15.640
<v Speaker 9>and Barbara Lee, who are competing against one Republican Steve Garvey,

0:14:15.679 --> 0:14:18.600
<v Speaker 9>who you may know as a former Los Angeles Dodgers player.

0:14:18.600 --> 0:14:21.240
<v Speaker 9>But California has a jungle primary, which means whichever to

0:14:21.760 --> 0:14:24.880
<v Speaker 9>get the highest number of votes, be that Democratic or Republican,

0:14:24.880 --> 0:14:27.080
<v Speaker 9>they are the ones that will advance to the general

0:14:27.120 --> 0:14:30.840
<v Speaker 9>election in November. And crypto packs specifically have been throwing

0:14:30.840 --> 0:14:33.440
<v Speaker 9>a lot of money at this race, specifically throwing money

0:14:33.680 --> 0:14:38.320
<v Speaker 9>against Congressoman Katie Porter, spending about ten million dollars against her,

0:14:38.360 --> 0:14:40.880
<v Speaker 9>which has actually helped Adam Schiff, who does have some

0:14:40.920 --> 0:14:44.640
<v Speaker 9>more crypto friendly language on his campaign website. So that's

0:14:44.640 --> 0:14:46.000
<v Speaker 9>one of the races to watch, and I would just

0:14:46.000 --> 0:14:48.200
<v Speaker 9>note when you're thinking crypto, they're spending money in other

0:14:48.240 --> 0:14:51.480
<v Speaker 9>states as well, like Alabama and North Carolina. So certainly

0:14:51.560 --> 0:14:54.480
<v Speaker 9>the industry is trying to advance its objectives through dollars

0:14:54.680 --> 0:14:56.080
<v Speaker 9>in some of these down ballot.

0:14:55.880 --> 0:14:58.920
<v Speaker 4>Races this evening. All right, bloom As Klines, I'll see

0:14:58.920 --> 0:15:01.680
<v Speaker 4>you in a few hours for off Super Tuesday coverage.

0:15:01.800 --> 0:15:03.800
<v Speaker 4>Thank you very much. Let's keep a conversation going.

0:15:04.080 --> 0:15:08.000
<v Speaker 5>There's something to discuss around the intersection of artificial intelligence

0:15:08.080 --> 0:15:11.560
<v Speaker 5>and misinformation in this election cycle. Here's what some of

0:15:11.600 --> 0:15:14.760
<v Speaker 5>our recent guests on bloombag TV have had to say about.

0:15:14.480 --> 0:15:17.800
<v Speaker 1>That misinformation with artificial intelligence.

0:15:17.880 --> 0:15:20.800
<v Speaker 10>I think that could be another factor that impacts what's

0:15:20.800 --> 0:15:22.280
<v Speaker 10>going on around the election.

0:15:22.400 --> 0:15:27.400
<v Speaker 11>I don't think independent center right Republicans or Democrats really

0:15:27.400 --> 0:15:30.760
<v Speaker 11>have any idea about how effective AI can be if

0:15:30.800 --> 0:15:33.080
<v Speaker 11>it's in the hands those specific individuals that have no

0:15:33.160 --> 0:15:33.880
<v Speaker 11>moral boundaries.

0:15:33.880 --> 0:15:35.760
<v Speaker 4>So tho's sort of the big things.

0:15:35.840 --> 0:15:37.640
<v Speaker 7>You know, if somebody does that deep fake, whether it's

0:15:37.720 --> 0:15:39.760
<v Speaker 7>Joe Biden or Trump, and you know, we're going to

0:15:39.800 --> 0:15:41.320
<v Speaker 7>be able to find that you may not even need

0:15:41.360 --> 0:15:41.960
<v Speaker 7>an algorithm.

0:15:42.120 --> 0:15:44.280
<v Speaker 11>So what we're seeing also is that the foreign disinformation

0:15:44.400 --> 0:15:49.200
<v Speaker 11>campaigns could be very effective with AI. With deepfakes specifically.

0:15:48.640 --> 0:15:51.360
<v Speaker 4>There's much more subtle manipulation that I think we need

0:15:51.400 --> 0:15:51.960
<v Speaker 4>to watch for.

0:15:54.680 --> 0:15:57.320
<v Speaker 5>Let's bring in Marcy Andino for her take. She's the

0:15:57.360 --> 0:16:02.520
<v Speaker 5>senior director of the Election infrastruct Information Sharing an analysis

0:16:02.520 --> 0:16:07.400
<v Speaker 5>center which supports state, local and territorial election offices. You

0:16:07.520 --> 0:16:11.800
<v Speaker 5>heard that the diverse range of opinion. It is super Tuesday,

0:16:12.280 --> 0:16:15.760
<v Speaker 5>social media is down. What do you think will happen

0:16:15.800 --> 0:16:18.960
<v Speaker 5>tonight in the context of AI and misinformation?

0:16:21.720 --> 0:16:23.560
<v Speaker 1>Thank you so much for that question, and it's a

0:16:23.600 --> 0:16:27.440
<v Speaker 1>pleasure to be here with you this morning. AI is

0:16:27.520 --> 0:16:30.640
<v Speaker 1>certainly a new topic that we're talking about. We're talking

0:16:30.920 --> 0:16:36.080
<v Speaker 1>and tracking five cybersecurity Brett's as we move into the

0:16:36.160 --> 0:16:39.800
<v Speaker 1>general election, and AI is the new kid on the block,

0:16:39.840 --> 0:16:43.360
<v Speaker 1>if you will. We're not seeing a lot of AI

0:16:43.560 --> 0:16:47.960
<v Speaker 1>activity right now, but it certainly has the potential to

0:16:48.200 --> 0:16:54.880
<v Speaker 1>increase misinformation campaigns. It will amplify or magnify the risk

0:16:55.040 --> 0:16:57.520
<v Speaker 1>that already exists out there.

0:16:58.120 --> 0:17:00.920
<v Speaker 3>What your role does at the moment is you're offering tools,

0:17:01.080 --> 0:17:03.600
<v Speaker 3>no cost tools, it might be said, training to those

0:17:03.600 --> 0:17:05.960
<v Speaker 3>who are out there in the field trying to ensure

0:17:06.080 --> 0:17:08.280
<v Speaker 3>that this isn't spreading and that their elections have been

0:17:08.320 --> 0:17:12.560
<v Speaker 3>run fairly. But also you're providing sort of effective remediation

0:17:12.720 --> 0:17:16.240
<v Speaker 3>if ever there are incidents, talk us through. What you'll

0:17:16.280 --> 0:17:19.480
<v Speaker 3>go to is in a response to any sort of

0:17:19.720 --> 0:17:23.360
<v Speaker 3>sudden sweeping of a misinformation out the break that might

0:17:23.520 --> 0:17:25.160
<v Speaker 3>or might not occur as people had to polls.

0:17:26.840 --> 0:17:29.919
<v Speaker 1>Well, we've been talking with election officials over the last

0:17:30.000 --> 0:17:35.040
<v Speaker 1>year about the possibility of seeing generative AI used to

0:17:35.160 --> 0:17:40.080
<v Speaker 1>disrupt elections, and we're reminding election officials that they need

0:17:40.119 --> 0:17:44.320
<v Speaker 1>to collaborate with us and share information so we can

0:17:44.359 --> 0:17:47.919
<v Speaker 1>pass that information on to other election officials so they

0:17:48.000 --> 0:17:52.680
<v Speaker 1>might know what's coming in their states. We also remind

0:17:52.720 --> 0:17:55.760
<v Speaker 1>them probably the most powerful thing they can do is

0:17:55.800 --> 0:18:01.760
<v Speaker 1>to educate voters, citizens, candidates, and even their local media.

0:18:02.320 --> 0:18:05.639
<v Speaker 1>So when people see something that they think might not

0:18:05.760 --> 0:18:09.040
<v Speaker 1>be exactly right, they know where to go to get

0:18:09.080 --> 0:18:13.560
<v Speaker 1>accurate information, and that is with the state or local

0:18:13.920 --> 0:18:18.200
<v Speaker 1>election officials. So it's very important that they establish themselves

0:18:18.640 --> 0:18:23.280
<v Speaker 1>as the trusted source of information, and that even goes

0:18:23.320 --> 0:18:30.080
<v Speaker 1>for training their staff. In election offices, they work long hours,

0:18:30.240 --> 0:18:33.480
<v Speaker 1>they get very tired, so they're more apt to click

0:18:33.520 --> 0:18:38.320
<v Speaker 1>on something, and they bring in a lot of seasonal workers.

0:18:38.320 --> 0:18:41.160
<v Speaker 1>So those seasonal workers may or may not have had

0:18:41.280 --> 0:18:45.160
<v Speaker 1>any training, so it's important to make sure they're trained

0:18:45.200 --> 0:18:48.720
<v Speaker 1>and ready to go as well, and of course, using

0:18:48.840 --> 0:18:56.200
<v Speaker 1>good cyber hygiene passwords strong passwords, turning on multi factor

0:18:56.240 --> 0:19:01.760
<v Speaker 1>authentication on every application. They can using our no cost

0:19:01.960 --> 0:19:06.320
<v Speaker 1>tools to protect their network, their critical networks.

0:19:06.960 --> 0:19:07.280
<v Speaker 4>MARSI.

0:19:07.680 --> 0:19:10.000
<v Speaker 5>I think cyber hygiens a new one for us on

0:19:10.040 --> 0:19:14.960
<v Speaker 5>this show. Is there any proof that we are better

0:19:15.040 --> 0:19:20.399
<v Speaker 5>prepared for this year's election than we were in twenty twenty.

0:19:21.080 --> 0:19:24.240
<v Speaker 1>Well, the EII sack just turned six years old, and

0:19:24.400 --> 0:19:27.800
<v Speaker 1>for the last six years we've been working with election

0:19:27.880 --> 0:19:32.080
<v Speaker 1>officials across the country and in the territories to raise

0:19:32.160 --> 0:19:40.120
<v Speaker 1>their cybersecurity posture. We've deployed lots of solutions, cybersecurity solutions

0:19:40.560 --> 0:19:45.359
<v Speaker 1>that would harden their defenses, and we've also provided a

0:19:45.359 --> 0:19:48.760
<v Speaker 1>lot of training, and we're talking to election officials in

0:19:48.880 --> 0:19:53.080
<v Speaker 1>terms they understand. We're former election officials in many cases,

0:19:53.880 --> 0:19:56.679
<v Speaker 1>so we're breaking down those barriers and making sure that

0:19:56.760 --> 0:20:02.520
<v Speaker 1>they understand that cybersecurity is everybody's responsibility and that they

0:20:02.560 --> 0:20:05.560
<v Speaker 1>need to take action. So I believe, yes, we are

0:20:05.560 --> 0:20:11.280
<v Speaker 1>better prepared. But cybersecurity is a long term game. It

0:20:11.400 --> 0:20:15.679
<v Speaker 1>is not a one and done. It's constantly changing, and

0:20:15.760 --> 0:20:20.800
<v Speaker 1>as you started the conversation with Generative AI, that's the

0:20:20.920 --> 0:20:24.960
<v Speaker 1>new thing that we are trying to build defenses around

0:20:25.040 --> 0:20:28.480
<v Speaker 1>and prepare elections, to deal with election officials, to deal

0:20:28.520 --> 0:20:31.800
<v Speaker 1>with especially as we move into the general election.

0:20:32.359 --> 0:20:34.640
<v Speaker 3>MASSI great to have some time with you on head

0:20:34.680 --> 0:20:38.040
<v Speaker 3>of this super Tuesday Mussi Andina. It's a UNI director

0:20:38.080 --> 0:20:40.800
<v Speaker 3>for the election of the Structure Information Sharing and Analysis Center.

0:20:41.400 --> 0:20:43.200
<v Speaker 3>Great expertise coming there. I meanwhile, coming up for the

0:20:43.240 --> 0:20:45.800
<v Speaker 3>first time in more than nine months, a mosque is

0:20:45.800 --> 0:20:49.119
<v Speaker 3>no longer the world's richest person. Bezos, He's back.

0:20:49.520 --> 0:21:09.560
<v Speaker 12>We'll have more for you. This is new by Technology.

0:21:02.200 --> 0:21:05.000
<v Speaker 3>Time now for talking tech First. Sub Ali Baba spearheading

0:21:05.000 --> 0:21:07.919
<v Speaker 3>its second major deal in AI this year, needing a

0:21:07.920 --> 0:21:10.320
<v Speaker 3>financing round of at least six roundred million dollars for

0:21:10.440 --> 0:21:13.720
<v Speaker 3>Chinese AI startup Minimax, as the e commerce pioneered actually

0:21:13.720 --> 0:21:15.840
<v Speaker 3>deploying its own capital and pursuit of growth. Now the

0:21:15.920 --> 0:21:18.360
<v Speaker 3>two year old firm that it's backed has secured from

0:21:18.760 --> 0:21:21.560
<v Speaker 3>not only Alibarb but other investors that bring its now

0:21:21.640 --> 0:21:23.680
<v Speaker 3>valuation to two and a half billion.

0:21:23.400 --> 0:21:24.840
<v Speaker 12>Dollars, according to sources.

0:21:25.320 --> 0:21:29.840
<v Speaker 3>Meanwhile, four ex Twitter executives, including former CEO Paragagua Wall,

0:21:30.119 --> 0:21:32.600
<v Speaker 3>they've sued Elon Musk for allegedly stivving them on more

0:21:32.600 --> 0:21:34.479
<v Speaker 3>than one hundred and twenty eight million dollars in severance

0:21:34.520 --> 0:21:36.880
<v Speaker 3>payments after they were ousted from the company. The former

0:21:36.920 --> 0:21:40.600
<v Speaker 3>top officials said Musks showed quote special ayre towards him

0:21:40.640 --> 0:21:42.359
<v Speaker 3>after he took over the company in twenty twenty two,

0:21:42.440 --> 0:21:45.520
<v Speaker 3>publicly vowing to withhold their severance to recoup two hundred

0:21:45.560 --> 0:21:48.360
<v Speaker 3>million dollars from the forty four billion deal and sat

0:21:48.359 --> 0:21:50.680
<v Speaker 3>according to the lawsuit, Let's talk about Elon Musk a

0:21:50.680 --> 0:21:53.280
<v Speaker 3>little bit more, because it's been dethroned by Jeff Bezos

0:21:53.320 --> 0:21:55.680
<v Speaker 3>as the world's richest person. The Tesla founder lost his

0:21:55.720 --> 0:21:58.159
<v Speaker 3>position at the top of the Bloomberg Billionaire Index to

0:21:58.160 --> 0:22:00.160
<v Speaker 3>the Amazon founder after shares in Tesla. Of course, I've

0:22:00.160 --> 0:22:02.760
<v Speaker 3>been under pressure to start this week this Mark Spazios

0:22:02.800 --> 0:22:04.480
<v Speaker 3>his first return to the top of the Nexus twenty

0:22:04.480 --> 0:22:07.440
<v Speaker 3>twenty one. First, I Musk hasn't topped the ranking more

0:22:07.480 --> 0:22:09.399
<v Speaker 3>than nine months ed and this is of course, as

0:22:09.400 --> 0:22:12.280
<v Speaker 3>we see significant issues with Tesla and over in China.

0:22:12.320 --> 0:22:16.480
<v Speaker 5>For example, Musk has lost thirty one point three billion

0:22:16.520 --> 0:22:19.560
<v Speaker 5>dollars of wealth so far this year. Bezos gain twenty

0:22:19.560 --> 0:22:22.760
<v Speaker 5>three point four billion. They're separated by three billion. What's

0:22:22.800 --> 0:22:24.560
<v Speaker 5>a few billion among friends.

0:22:25.400 --> 0:22:26.080
<v Speaker 12>Are they friends?

0:22:28.480 --> 0:22:29.399
<v Speaker 4>Peels out? They're not.

0:22:30.760 --> 0:22:33.679
<v Speaker 3>Meanwhile, coming up, they are added in space, added all

0:22:33.720 --> 0:22:36.440
<v Speaker 3>the bit on the billionaires index as well. Meanwhile, let's

0:22:36.480 --> 0:22:39.520
<v Speaker 3>just return to the state of cybersecurity. Kato Networks is

0:22:39.560 --> 0:22:41.280
<v Speaker 3>with our CEO Shlomo Kramer.

0:22:41.520 --> 0:22:42.240
<v Speaker 12>This is a Blueberg.

0:22:51.520 --> 0:22:53.960
<v Speaker 3>Welcome back to blue mert Technology and Caroline had in New.

0:22:53.960 --> 0:22:56.600
<v Speaker 4>York and amed love Low in San Francisco. Let's get

0:22:56.640 --> 0:22:57.679
<v Speaker 4>back to Bitcoin.

0:22:58.160 --> 0:23:01.840
<v Speaker 5>We are now lower in the session below sixty six

0:23:01.920 --> 0:23:05.600
<v Speaker 5>thousand US dollars. Earlier, about an hour ago, Bitcoin touched

0:23:05.640 --> 0:23:09.240
<v Speaker 5>its first record high since November of twenty twenty one,

0:23:09.359 --> 0:23:12.399
<v Speaker 5>just above sixty nine thousand US dollars. You see that

0:23:12.440 --> 0:23:14.919
<v Speaker 5>all the time in different asset classes, right Carol, You

0:23:15.000 --> 0:23:18.040
<v Speaker 5>hit a record, there's enthusiasm, there's sentiment, and then it

0:23:18.119 --> 0:23:20.480
<v Speaker 5>very quickly falls away. But you can see over a

0:23:20.520 --> 0:23:23.360
<v Speaker 5>five day basis the kind of near term momentum we've

0:23:23.400 --> 0:23:26.840
<v Speaker 5>seen in bitcoin and its market cap also now globally

0:23:26.920 --> 0:23:29.720
<v Speaker 5>near at that one point five trillion mark. There's a

0:23:29.720 --> 0:23:31.960
<v Speaker 5>lot happening in equity markets. You were right to point

0:23:32.000 --> 0:23:35.040
<v Speaker 5>out earlier that it's jpowweek. We'll hear from him on

0:23:35.080 --> 0:23:37.240
<v Speaker 5>the hill. Later in the program, it is tech that

0:23:37.359 --> 0:23:39.080
<v Speaker 5>is the drag on major indices, and as that one

0:23:39.200 --> 0:23:42.399
<v Speaker 5>hundred down one point six percent. Apple is off session

0:23:42.440 --> 0:23:45.440
<v Speaker 5>lows but down two point seven percent. Again that third

0:23:45.560 --> 0:23:50.520
<v Speaker 5>party counterpoint research data showing weakness in China. Continuing to

0:23:50.560 --> 0:23:53.879
<v Speaker 5>update your meta, we're getting reports from down Detector that Instagram,

0:23:54.240 --> 0:23:57.360
<v Speaker 5>threads and Facebook are all down. The company has responded

0:23:57.359 --> 0:24:01.080
<v Speaker 5>to a spokesperson ironically on x form formerly knows Twitter

0:24:01.320 --> 0:24:02.439
<v Speaker 5>to say they're aware of it.

0:24:02.720 --> 0:24:05.159
<v Speaker 4>Also, earnings continues. We're at the tail end.

0:24:05.200 --> 0:24:10.160
<v Speaker 5>But CrowdStrike reports after market, and that brings cybersecurity back

0:24:10.200 --> 0:24:14.040
<v Speaker 5>into focus. Right now, we've been thinking about cybersecurity in

0:24:14.080 --> 0:24:17.720
<v Speaker 5>the context of Super Tuesday, the election cycle. Everyone is

0:24:17.760 --> 0:24:20.560
<v Speaker 5>doing a lot to counter it, but the threats appear

0:24:20.640 --> 0:24:21.200
<v Speaker 5>to be growing.

0:24:21.640 --> 0:24:22.520
<v Speaker 4>Let's bring in somebody.

0:24:22.520 --> 0:24:24.399
<v Speaker 5>We're excited to speak to a co founder and CEO

0:24:24.680 --> 0:24:29.919
<v Speaker 5>of Cato Network, Shlomo Kramer, aka the Godfather of cybersecurity.

0:24:30.000 --> 0:24:33.040
<v Speaker 5>Some people have called you that. To be fair, I

0:24:33.080 --> 0:24:35.960
<v Speaker 5>want to start with the election and Super Tuesday.

0:24:36.280 --> 0:24:37.200
<v Speaker 4>You know, earlier in.

0:24:37.119 --> 0:24:40.840
<v Speaker 5>The program we attributed a ramp up in activity or

0:24:41.000 --> 0:24:42.520
<v Speaker 5>risk to Generative AI.

0:24:43.400 --> 0:24:45.520
<v Speaker 4>Do you see that across your desk at the moment.

0:24:45.680 --> 0:24:51.200
<v Speaker 2>Probably generally, AI is the next phase in cybersecurity, both

0:24:51.320 --> 0:24:59.359
<v Speaker 2>foremen influencing the opinions as well as industrializing the attacks.

0:25:00.080 --> 0:25:05.680
<v Speaker 2>So absolutely, and that does you need AI for protection

0:25:05.840 --> 0:25:06.240
<v Speaker 2>as well?

0:25:06.880 --> 0:25:08.760
<v Speaker 4>We welcome you to San Francisco.

0:25:10.960 --> 0:25:13.440
<v Speaker 5>How much of the conversation that you're having while you're

0:25:13.480 --> 0:25:16.879
<v Speaker 5>in town is about the election or do you clients

0:25:16.920 --> 0:25:19.480
<v Speaker 5>and your peers have other concerns.

0:25:19.800 --> 0:25:25.919
<v Speaker 2>Well, it's mostly around cybersecurity in general, and the election

0:25:26.160 --> 0:25:30.000
<v Speaker 2>is one big transaction that needs to be protected. But

0:25:30.800 --> 0:25:34.199
<v Speaker 2>I would say that if you look at the new economy,

0:25:34.520 --> 0:25:38.000
<v Speaker 2>the number one risk to it is cybersecurity.

0:25:38.880 --> 0:25:42.920
<v Speaker 3>And yet, and yet, post this earning season, of companies

0:25:42.960 --> 0:25:45.840
<v Speaker 3>that you wrote the first check into, Palo Alto Networks

0:25:46.040 --> 0:25:50.120
<v Speaker 3>or other cybersecurity names, they're down because people aren't spending

0:25:50.200 --> 0:25:52.720
<v Speaker 3>at quite the pace that the market had anticipated in

0:25:52.760 --> 0:25:54.679
<v Speaker 3>their cyber defenses. Do you worry about that?

0:25:56.800 --> 0:26:00.760
<v Speaker 2>Actually, I'm we are here in Cato. My company is

0:26:00.760 --> 0:26:04.919
<v Speaker 2>here to solve that because the security industry for thirty

0:26:05.000 --> 0:26:09.760
<v Speaker 2>years have focused on the what and created a huge

0:26:09.840 --> 0:26:18.280
<v Speaker 2>number of point products that essentially are not consumable by

0:26:18.720 --> 0:26:23.520
<v Speaker 2>most enterprises. So they security market is broken and the

0:26:23.640 --> 0:26:26.800
<v Speaker 2>need to fix it is by finding new ways to

0:26:26.840 --> 0:26:32.080
<v Speaker 2>consume it. And the platform that cater provides is the

0:26:32.240 --> 0:26:34.080
<v Speaker 2>new how that will fix it.

0:26:34.560 --> 0:26:38.720
<v Speaker 3>Let's talk about that secure access service EDGE says, as

0:26:38.760 --> 0:26:40.760
<v Speaker 3>one might say, it for sure seems to be the

0:26:40.800 --> 0:26:43.480
<v Speaker 3>new way in which you think you should be delivering

0:26:43.800 --> 0:26:49.359
<v Speaker 3>cybersecurity across a platform workload, unlike you say, now one

0:26:49.400 --> 0:26:52.280
<v Speaker 3>of your biggest competitors, which is Palo Alto networks. How

0:26:52.359 --> 0:26:55.679
<v Speaker 3>much is that resonating, how much you're seeing enterprises adopt

0:26:55.720 --> 0:26:58.280
<v Speaker 3>or indeed is it governments? Who are your end consumers

0:26:58.280 --> 0:26:59.040
<v Speaker 3>for this at the moment?

0:26:59.760 --> 0:27:04.120
<v Speaker 2>So I would say that the pain of point solutions

0:27:04.600 --> 0:27:08.320
<v Speaker 2>is everywhere, but at least that the mid to large enterprises,

0:27:08.840 --> 0:27:13.640
<v Speaker 2>the gap between resources and challenges is the most severe.

0:27:13.680 --> 0:27:17.800
<v Speaker 2>So the need for SASSI and platforms such as Kato

0:27:18.000 --> 0:27:22.960
<v Speaker 2>provides is the most acute, and we see the most

0:27:22.960 --> 0:27:28.600
<v Speaker 2>direction in this type of organizations today. But eventually the

0:27:28.720 --> 0:27:34.040
<v Speaker 2>concept of platforms and consumption food platforms is going to

0:27:34.160 --> 0:27:37.000
<v Speaker 2>replace the entire cybersecurity market.

0:27:37.720 --> 0:27:40.080
<v Speaker 4>Let's talk about the market and its players.

0:27:40.119 --> 0:27:42.960
<v Speaker 5>We have a little David and Goliath story or hands

0:27:43.280 --> 0:27:47.080
<v Speaker 5>you wrote the first c check for palab Alto Networks.

0:27:48.000 --> 0:27:52.240
<v Speaker 5>Now you have Kto. It's a smaller player. But if

0:27:52.280 --> 0:27:54.680
<v Speaker 5>we extrap lay out, you're basically saying, I don't think

0:27:54.720 --> 0:27:57.639
<v Speaker 5>the legacy big guys have done very well. I'm going

0:27:57.720 --> 0:27:59.679
<v Speaker 5>to try again to do something a bit different.

0:28:00.119 --> 0:28:04.680
<v Speaker 2>You're absolutely right, And there was also a first generation

0:28:04.880 --> 0:28:09.200
<v Speaker 2>checkpoint where I was the co founder and pal Alto

0:28:09.359 --> 0:28:13.480
<v Speaker 2>came and simplified through convergence and through a platform a

0:28:13.600 --> 0:28:17.439
<v Speaker 2>market that was software based by using an appliance. But

0:28:17.560 --> 0:28:23.360
<v Speaker 2>guess what, Digital transformation came and created a very fluid

0:28:23.800 --> 0:28:28.840
<v Speaker 2>way of doing Businesses work from anywhere, applications are anywhere,

0:28:29.160 --> 0:28:31.439
<v Speaker 2>So there was a need for a new type of

0:28:31.520 --> 0:28:36.280
<v Speaker 2>platform and that's essentially what CATO provides. And all the

0:28:36.320 --> 0:28:41.520
<v Speaker 2>appliance vendors or the second generation vendors are trying to

0:28:41.560 --> 0:28:44.720
<v Speaker 2>adjust and adapt, but they bring with them so much

0:28:44.800 --> 0:28:48.480
<v Speaker 2>baggage that it is very difficult for them.

0:28:48.840 --> 0:28:53.280
<v Speaker 5>We've talked about where technologically the threats are coming from.

0:28:53.320 --> 0:28:57.240
<v Speaker 5>What the concerns of your industry are that geographically, where

0:28:57.240 --> 0:28:59.280
<v Speaker 5>are the threats coming from? You know, we're kind of

0:28:59.360 --> 0:29:02.480
<v Speaker 5>zeroed in on a domestic situation, but as we learned,

0:29:02.920 --> 0:29:07.960
<v Speaker 5>foreign entities China, Russia are active in this space.

0:29:07.920 --> 0:29:10.480
<v Speaker 2>Right absolutely, And we are talking about times of peace

0:29:11.040 --> 0:29:18.040
<v Speaker 2>when you're seeing this massive international course border attack happens

0:29:18.600 --> 0:29:25.760
<v Speaker 2>and organizations, especially the media enterprise are suffering, and imagine

0:29:25.800 --> 0:29:28.160
<v Speaker 2>what will happen at times of war. You don't need

0:29:28.200 --> 0:29:31.640
<v Speaker 2>to imagine much. You go to Ukraine in twenty seventeen

0:29:32.080 --> 0:29:35.200
<v Speaker 2>with no Petia and you would see that eighty percent

0:29:35.240 --> 0:29:39.400
<v Speaker 2>of the economy was down because of this type of attack.

0:29:39.840 --> 0:29:46.360
<v Speaker 2>So really fixing this mass market problem of cybersecurity is

0:29:46.520 --> 0:29:49.440
<v Speaker 2>critical as a defense against these.

0:29:49.240 --> 0:29:50.200
<v Speaker 4>Times of wars.

0:29:50.840 --> 0:29:53.840
<v Speaker 3>And it's notable, of course, which our hearts go out

0:29:53.880 --> 0:29:55.600
<v Speaker 3>to the fact that, of course you're traveling to US

0:29:55.600 --> 0:29:57.640
<v Speaker 3>from Israel at the moment, and I know that always

0:29:57.640 --> 0:30:00.360
<v Speaker 3>something affects your businesses and those of course cross the

0:30:00.360 --> 0:30:04.200
<v Speaker 3>border as well. I'm interested in Shomo in your business

0:30:04.280 --> 0:30:08.040
<v Speaker 3>in particular at a time when the market was having

0:30:08.200 --> 0:30:11.280
<v Speaker 3>real difficulties. We were thinking in the doldrums of twenty

0:30:11.320 --> 0:30:14.200
<v Speaker 3>twenty three, VC had been pulled back and you were

0:30:14.200 --> 0:30:16.880
<v Speaker 3>still able to raise funds and you're still putting in

0:30:16.880 --> 0:30:18.600
<v Speaker 3>what two hundred and thirty eight million dollars was what

0:30:18.640 --> 0:30:20.960
<v Speaker 3>you raised back in September of twenty twenty three, light

0:30:21.000 --> 0:30:23.680
<v Speaker 3>speed ventures there. Once again, you've talked a lot about

0:30:23.680 --> 0:30:26.400
<v Speaker 3>wanting to go public at the moment, are you thinking

0:30:26.480 --> 0:30:28.719
<v Speaker 3>about that will be a twenty twenty four endeavor? How

0:30:28.720 --> 0:30:31.880
<v Speaker 3>are you assessing the American markets not as also as

0:30:31.920 --> 0:30:35.040
<v Speaker 3>well as the American cybersecurity markets that you sell into.

0:30:35.880 --> 0:30:39.920
<v Speaker 2>Well, Cato is a leader in this next generation SASE

0:30:40.160 --> 0:30:44.680
<v Speaker 2>market and being public companies in milestone, which we will

0:30:44.760 --> 0:30:50.440
<v Speaker 2>get to when both company and markets are already but

0:30:50.840 --> 0:30:53.840
<v Speaker 2>absolutely this is this is an opportunity to build a

0:30:53.920 --> 0:31:01.160
<v Speaker 2>large public company that will lead this copyboard.

0:31:01.280 --> 0:31:04.440
<v Speaker 3>Sliman Cromer, We really appreciate you coming in to visit

0:31:04.480 --> 0:31:06.360
<v Speaker 3>our sort when you're over on the West Coast as well,

0:31:06.600 --> 0:31:09.560
<v Speaker 3>Cato Networks will keep up to speed with the growth

0:31:09.560 --> 0:31:10.000
<v Speaker 3>of the business.

0:31:10.080 --> 0:31:11.320
<v Speaker 12>Meanwhile, coming up, I'm.

0:31:11.200 --> 0:31:14.160
<v Speaker 3>Going to be discussing how organizations can ensure an ethical

0:31:14.280 --> 0:31:18.400
<v Speaker 3>use of artificial intelligence within their workforce. In particular, we'll

0:31:18.440 --> 0:31:20.960
<v Speaker 3>have the latest from the Deloitte survey on AI ethics.

0:31:21.000 --> 0:31:21.800
<v Speaker 12>That's next, Ed, what.

0:31:21.720 --> 0:31:25.280
<v Speaker 5>Were you watching, I'm looking at shares of Alphabet, parent

0:31:25.320 --> 0:31:29.120
<v Speaker 5>of Google. In the first instance, because the Digital Markets

0:31:29.160 --> 0:31:32.440
<v Speaker 5>Act kicks into effect this week, we've zeroed in on

0:31:32.520 --> 0:31:35.240
<v Speaker 5>Apple because of their EU find and the need to compliance.

0:31:35.240 --> 0:31:38.040
<v Speaker 5>But i'd also bring you a small update. The down

0:31:38.080 --> 0:31:42.400
<v Speaker 5>detector is now also saying that YouTube is experiencing outages.

0:31:42.480 --> 0:31:46.840
<v Speaker 5>Alongside are reporting that many of Meta's platforms are currently down.

0:31:47.280 --> 0:31:49.920
<v Speaker 5>The stock down one and a half percent. We will

0:31:50.120 --> 0:32:00.120
<v Speaker 5>keep an eye on all of it. This is blombog technology.

0:32:05.280 --> 0:32:08.000
<v Speaker 3>Let's get back to artificial intelligence and its impact on

0:32:08.040 --> 0:32:10.960
<v Speaker 3>the future. Because some Fisisco based benu fund s v

0:32:11.080 --> 0:32:13.680
<v Speaker 3>angels well, it's just written an open letter making a

0:32:13.720 --> 0:32:17.160
<v Speaker 3>pledge to help build quote AI the improves lives and

0:32:17.200 --> 0:32:20.200
<v Speaker 3>unlocks a better future of humanity is he had another

0:32:20.320 --> 0:32:22.760
<v Speaker 3>open letter that we've seen, and this time this one

0:32:22.840 --> 0:32:25.959
<v Speaker 3>was signed by open AI, Google, Meta, Microsoft and many others.

0:32:26.400 --> 0:32:29.160
<v Speaker 3>And look, maybe it is one way some would argue

0:32:29.520 --> 0:32:33.719
<v Speaker 3>to think about how to implement AI ethics, and we're

0:32:33.760 --> 0:32:35.520
<v Speaker 3>going to get into the more specific ways in which

0:32:35.560 --> 0:32:37.200
<v Speaker 3>you can actually be there in a business.

0:32:37.800 --> 0:32:38.800
<v Speaker 4>They're not alone in that.

0:32:38.920 --> 0:32:42.520
<v Speaker 5>Deloitte released a new study today about just that how

0:32:42.640 --> 0:32:47.200
<v Speaker 5>organizations can prepare their workforce for an ethical and responsible

0:32:47.560 --> 0:32:50.200
<v Speaker 5>use of AI. Joining us now for more is Deloitte

0:32:50.240 --> 0:32:53.880
<v Speaker 5>Technologies trust Ethics Practice Leader. So also the author of

0:32:54.000 --> 0:32:58.160
<v Speaker 5>Zero Latency Leadership, a book that takes a look at

0:32:58.200 --> 0:33:02.200
<v Speaker 5>the leadership of the age of AI. Being a amanap

0:33:02.280 --> 0:33:05.600
<v Speaker 5>joins me on set in San Francisco. Clearly, there is

0:33:05.640 --> 0:33:09.560
<v Speaker 5>a concern about how a even technologically savvy for one

0:33:09.560 --> 0:33:14.000
<v Speaker 5>of a better expression workforce uses AI from an ethical perspective.

0:33:14.320 --> 0:33:16.280
<v Speaker 5>I know Deloitte, I know how to Luyte works. There

0:33:16.360 --> 0:33:19.680
<v Speaker 5>must be a reason that you felt compelled to publish

0:33:19.680 --> 0:33:20.200
<v Speaker 5>that study.

0:33:20.440 --> 0:33:20.720
<v Speaker 4>Yeah.

0:33:20.720 --> 0:33:21.360
<v Speaker 6>Absolutely.

0:33:21.440 --> 0:33:24.560
<v Speaker 13>Look, you know, I'm a technologist by training and we've

0:33:24.600 --> 0:33:26.800
<v Speaker 13>seen the rapid evolution of technology.

0:33:26.840 --> 0:33:29.000
<v Speaker 6>But technology comes with its side effects.

0:33:29.320 --> 0:33:32.560
<v Speaker 13>There are risks that come alongside it, and there's not

0:33:32.760 --> 0:33:37.440
<v Speaker 13>as much focus put on the ethical risks or the

0:33:37.480 --> 0:33:39.800
<v Speaker 13>trustworthy risks that come with technology.

0:33:39.840 --> 0:33:42.160
<v Speaker 6>So we thought it was important to highlight.

0:33:41.800 --> 0:33:47.360
<v Speaker 13>It, raise the awareness, and really get companies to address

0:33:47.480 --> 0:33:50.120
<v Speaker 13>the ethical risks so that we can truly get the

0:33:50.160 --> 0:33:51.680
<v Speaker 13>full potential of AI.

0:33:52.200 --> 0:33:55.920
<v Speaker 3>You know, I'd say that the media, the discourse, the

0:33:56.000 --> 0:33:59.040
<v Speaker 3>latest news has been doing a lot of the heavy

0:33:59.040 --> 0:34:01.120
<v Speaker 3>lift thing for you. We were just talking about the

0:34:01.160 --> 0:34:03.280
<v Speaker 3>latest open letter. There has been a lot of handwringing

0:34:03.360 --> 0:34:07.440
<v Speaker 3>about ethics implementation of AI. We've also seen, of course,

0:34:07.680 --> 0:34:10.480
<v Speaker 3>concerns about the latest image generation and whether or not

0:34:10.680 --> 0:34:13.520
<v Speaker 3>by trying to correct one element of bias, that's overcorrecting

0:34:13.520 --> 0:34:17.479
<v Speaker 3>in another direction and not getting historically accurate images out Pina.

0:34:17.600 --> 0:34:20.719
<v Speaker 3>I'm interested as to ultimately what CEOs are asking you

0:34:21.040 --> 0:34:23.080
<v Speaker 3>that they can do to implement right here, right now.

0:34:23.080 --> 0:34:25.160
<v Speaker 3>Do they slam on the brakes of using the latest

0:34:25.280 --> 0:34:28.040
<v Speaker 3>chatchipt or generative AI tool?

0:34:29.200 --> 0:34:29.960
<v Speaker 6>Absolutely not.

0:34:30.160 --> 0:34:34.040
<v Speaker 13>Look, there are relatively low risk ways to use the technology,

0:34:34.360 --> 0:34:37.200
<v Speaker 13>and it's important to identify the right use case, right

0:34:37.480 --> 0:34:39.880
<v Speaker 13>I think this is a very very powerful technology.

0:34:39.920 --> 0:34:41.280
<v Speaker 6>We see a variety.

0:34:40.960 --> 0:34:44.719
<v Speaker 13>Of users of it across different products, different functions. It's

0:34:44.760 --> 0:34:48.440
<v Speaker 13>about finding that right opportunity where you can get the

0:34:48.520 --> 0:34:52.200
<v Speaker 13>maximum value while minimizing the risk. And what CEOs are

0:34:52.239 --> 0:34:55.320
<v Speaker 13>looking at is how do you implement the right ethical

0:34:55.400 --> 0:35:00.400
<v Speaker 13>policies and guidelines to get that maximum benefit wile minimize.

0:35:00.239 --> 0:35:02.319
<v Speaker 4>The risk, which is sure chart.

0:35:02.480 --> 0:35:05.640
<v Speaker 5>Sorry, Oh I apologize, Caroline, I just was I couldn't

0:35:05.640 --> 0:35:08.200
<v Speaker 5>believe what I just saw in that chart, Director Alice,

0:35:08.239 --> 0:35:11.080
<v Speaker 5>So we can let's bring it back. Eighty four percent

0:35:11.160 --> 0:35:13.320
<v Speaker 5>respondents said they are you currently using AI?

0:35:14.080 --> 0:35:16.320
<v Speaker 4>Well four I mean think about all.

0:35:16.160 --> 0:35:19.880
<v Speaker 5>Of the businesses that Deloitte works with, big and small. Yeah,

0:35:19.920 --> 0:35:22.480
<v Speaker 5>what do you mean eighty four percent of them using AI?

0:35:23.000 --> 0:35:26.919
<v Speaker 13>It's you know, and I don't think it's generative AI specifically,

0:35:27.040 --> 0:35:28.080
<v Speaker 13>which is a current.

0:35:27.880 --> 0:35:29.640
<v Speaker 6>Flavor since the last eighteen months.

0:35:29.680 --> 0:35:33.360
<v Speaker 13>It's AI for predictive analytics, for maintaining your jet engine,

0:35:33.840 --> 0:35:39.160
<v Speaker 13>for you know, from a finance perspective, from auto approving

0:35:39.320 --> 0:35:43.680
<v Speaker 13>expense reports. Right, there are a lot of boring AI

0:35:43.800 --> 0:35:47.839
<v Speaker 13>use cases that companies are focusing on and have been

0:35:47.880 --> 0:35:51.000
<v Speaker 13>focusing on. Look I myself, I've been applying AI for

0:35:51.040 --> 0:35:54.400
<v Speaker 13>over twelve thirteen years, right, So generative AI is a

0:35:54.440 --> 0:35:57.080
<v Speaker 13>current flavor. But when you see that number, it's really

0:35:57.120 --> 0:36:00.160
<v Speaker 13>talking about how companies have been using AI for a

0:36:00.280 --> 0:36:01.480
<v Speaker 13>much longer time.

0:36:01.880 --> 0:36:04.960
<v Speaker 3>And now companies try and get in place the guard rails.

0:36:05.160 --> 0:36:09.399
<v Speaker 3>Do you think we need more government enforced guardrails found

0:36:09.400 --> 0:36:10.760
<v Speaker 3>an executive order for example.

0:36:11.920 --> 0:36:14.840
<v Speaker 13>Yeah, and I think you know, look, Caroline, there's absolutely

0:36:14.840 --> 0:36:18.759
<v Speaker 13>a need for AI regulation and policies and best practices.

0:36:18.920 --> 0:36:20.320
<v Speaker 6>You know, if you take a step back.

0:36:20.120 --> 0:36:23.399
<v Speaker 13>And look at it, AI as a technology is still maturing, right,

0:36:23.640 --> 0:36:27.279
<v Speaker 13>and there's a parallel stream, which is ethical risks or

0:36:27.480 --> 0:36:29.600
<v Speaker 13>nuances that come with using this technology.

0:36:29.640 --> 0:36:30.800
<v Speaker 6>Call it the side effects.

0:36:30.880 --> 0:36:34.120
<v Speaker 13>It's the impact to the workforce, it's the impact to

0:36:34.320 --> 0:36:38.480
<v Speaker 13>the organization itself. Right, and then the third stream is

0:36:38.520 --> 0:36:42.279
<v Speaker 13>AI regulations and policies, and they each one of these

0:36:42.400 --> 0:36:45.680
<v Speaker 13>move at a different pace, but it needs to happen,

0:36:45.760 --> 0:36:48.919
<v Speaker 13>and we've seen it across different industries happening over time.

0:36:49.120 --> 0:36:51.200
<v Speaker 5>I think there is an acceptance that a lot of

0:36:51.239 --> 0:36:54.480
<v Speaker 5>the focus is automation, right, removing the role of a

0:36:54.480 --> 0:36:57.800
<v Speaker 5>person that might have been mundane. What kind of people

0:36:58.120 --> 0:37:00.560
<v Speaker 5>do to firms need to hire if they're going to

0:37:00.560 --> 0:37:01.200
<v Speaker 5>think about AI.

0:37:01.280 --> 0:37:04.000
<v Speaker 13>You know, our service shows and this was specifically focused

0:37:04.040 --> 0:37:06.800
<v Speaker 13>on AI ethics and trust. Our service shows that companies

0:37:06.840 --> 0:37:12.319
<v Speaker 13>are actually hiring more AI ethics researchers, compliance specialists, tech

0:37:12.400 --> 0:37:17.000
<v Speaker 13>quality analysts for over fifty percent of organizations that are

0:37:17.120 --> 0:37:20.600
<v Speaker 13>going for that ground level roles, and about thirty eight

0:37:20.640 --> 0:37:23.440
<v Speaker 13>percent are going for chief trust officers or chief AI

0:37:23.480 --> 0:37:26.920
<v Speaker 13>ethics officers. So there's really that need to focus on

0:37:27.000 --> 0:37:30.560
<v Speaker 13>AI ethics research and bring it to an organizational and

0:37:30.719 --> 0:37:31.480
<v Speaker 13>use case level.

0:37:32.440 --> 0:37:34.439
<v Speaker 3>We thank you for bringing your expertise on it today.

0:37:34.520 --> 0:37:38.560
<v Speaker 3>Deloitte Technology Trusts Ethics Practice Leader being a Amena f

0:37:38.800 --> 0:37:41.400
<v Speaker 3>Thank you. Meanwhile, coming up, we'll get back to it.

0:37:41.600 --> 0:37:44.759
<v Speaker 3>Bitcoins rally is sustainable, well clearly ahead of record high.

0:37:44.760 --> 0:37:46.400
<v Speaker 3>It's just come back down from it. We're going to

0:37:46.480 --> 0:37:48.839
<v Speaker 3>dig into it with jalak Job and Putra from beuch

0:37:49.320 --> 0:37:50.400
<v Speaker 3>Perfect Ventures.

0:37:50.760 --> 0:37:52.920
<v Speaker 12>This is bring my technology.

0:38:06.080 --> 0:38:09.240
<v Speaker 3>Let's get back to Bitcoin hit a new record high,

0:38:09.280 --> 0:38:12.720
<v Speaker 3>and of course it's actual record market capitalization had already

0:38:12.719 --> 0:38:15.240
<v Speaker 3>been hit because there's more bitcoin and circulation sets November

0:38:15.239 --> 0:38:17.440
<v Speaker 3>twenty twenty one, and so now we hit above the

0:38:17.480 --> 0:38:20.120
<v Speaker 3>sixty nine thousand dollar mark and almost coming up to

0:38:20.160 --> 0:38:21.920
<v Speaker 3>a one point twenty five that's called almost one and

0:38:21.920 --> 0:38:25.719
<v Speaker 3>a half trillion dollar market capitalization. Let's get to more

0:38:25.760 --> 0:38:28.360
<v Speaker 3>broadly how this affects the rest of the ecosystem investing

0:38:28.400 --> 0:38:31.000
<v Speaker 3>in it, Jalacto. When Putcher is with us, founder and

0:38:31.120 --> 0:38:34.400
<v Speaker 3>managing partner of Future Perfect Ventures, and you were in

0:38:34.480 --> 0:38:36.600
<v Speaker 3>crypto before crypto as cool as some people have been

0:38:36.600 --> 0:38:40.120
<v Speaker 3>able to say, Jalex, And I'm interested therefore on whether

0:38:40.520 --> 0:38:44.239
<v Speaker 3>with Bitcoin ramping up higher, people worrying about leverage coming

0:38:44.239 --> 0:38:46.320
<v Speaker 3>to the system once again. Are we just bracing ourselves

0:38:46.360 --> 0:38:48.960
<v Speaker 3>for consolidation or are we on our march higher for

0:38:49.000 --> 0:38:50.040
<v Speaker 3>sustainable reasons.

0:38:51.360 --> 0:38:54.000
<v Speaker 10>Well, we have a confluence of factors that make this

0:38:54.200 --> 0:38:56.880
<v Speaker 10>rally different than rallies that we've had previously. I mean,

0:38:56.960 --> 0:39:00.799
<v Speaker 10>first we had the ATF launchers, which we're off to

0:39:00.880 --> 0:39:03.600
<v Speaker 10>a bit of a slow start, but now you know,

0:39:03.680 --> 0:39:07.760
<v Speaker 10>black Frocks has been the most successful ETF launch in history,

0:39:08.360 --> 0:39:12.400
<v Speaker 10>and we continue to see interest from institutions coming into

0:39:12.920 --> 0:39:16.400
<v Speaker 10>the sector. Black Rock is also launching a Brazil ETF

0:39:16.480 --> 0:39:20.400
<v Speaker 10>product for spot bitcoin, so we're going to see not

0:39:20.440 --> 0:39:22.640
<v Speaker 10>only the US, but the rest of the world continue

0:39:22.680 --> 0:39:25.759
<v Speaker 10>to have more access. So that shows that, you know,

0:39:25.800 --> 0:39:28.319
<v Speaker 10>we are in a different situation than we were in

0:39:28.400 --> 0:39:31.320
<v Speaker 10>previous rallies and consolidation. And then we also have the

0:39:31.360 --> 0:39:34.960
<v Speaker 10>Bitcoin happening coming up or happening as some of us

0:39:35.360 --> 0:39:40.480
<v Speaker 10>call it, which traditionally constricts the supply of bitcoin because

0:39:40.520 --> 0:39:46.400
<v Speaker 10>it reduces the rewards that bitcoin minors get. So these

0:39:46.440 --> 0:39:51.880
<v Speaker 10>two factors, along with more let's say, favorable regulatory movements

0:39:51.960 --> 0:39:55.640
<v Speaker 10>around the world, point to us, you know, continuing to

0:39:55.640 --> 0:39:58.080
<v Speaker 10>go higher. That doesn't mean we won't have pullbacks along

0:39:58.120 --> 0:40:02.880
<v Speaker 10>the way, but the macro environment certainly supporting higher highs.

0:40:03.160 --> 0:40:06.360
<v Speaker 3>The exuberance around the og of bitcoin has spilled into

0:40:06.400 --> 0:40:09.160
<v Speaker 3>other areas. We've seen other protocols do well. Of course

0:40:09.160 --> 0:40:12.359
<v Speaker 3>Ethos on the upsilona, but then like twenty twenty one,

0:40:12.680 --> 0:40:15.600
<v Speaker 3>the meme coins come back. Dot quid Hat doing particularly

0:40:15.600 --> 0:40:18.160
<v Speaker 3>well at the moment, Bonk for example, some ridiculous names,

0:40:18.160 --> 0:40:20.120
<v Speaker 3>but some of them thinking that there'll be some practical

0:40:20.200 --> 0:40:23.080
<v Speaker 3>use case. What are the spillover effects? Are you worried

0:40:23.120 --> 0:40:27.000
<v Speaker 3>about too much exuberants? Are the more you know, dicey areas.

0:40:26.760 --> 0:40:27.200
<v Speaker 4>In the market.

0:40:27.920 --> 0:40:31.120
<v Speaker 10>Well, there's always going to be speculative activity. When we

0:40:31.200 --> 0:40:33.680
<v Speaker 10>see you know, bitcoin and ethereum and some of the

0:40:33.680 --> 0:40:37.040
<v Speaker 10>blue chips continue to go higher. People are looking for

0:40:37.120 --> 0:40:41.320
<v Speaker 10>even higher returns with some of these lower liquidity long

0:40:41.440 --> 0:40:45.440
<v Speaker 10>tail protocols, and some of them are these meme coins,

0:40:46.280 --> 0:40:49.080
<v Speaker 10>and that's to be expected. I think investors just need

0:40:49.120 --> 0:40:52.520
<v Speaker 10>to realize that they're dealing with more volatile assets as

0:40:52.560 --> 0:40:55.160
<v Speaker 10>they get into these long tails. But we've certainly seen

0:40:55.239 --> 0:40:58.840
<v Speaker 10>some outside returns and some of those names that you mentioned.

0:40:59.800 --> 0:41:03.080
<v Speaker 4>There are more long term holders of bitcoin, you know,

0:41:03.120 --> 0:41:07.120
<v Speaker 4>away from inflows outflows of ETF the price. What does

0:41:07.160 --> 0:41:09.000
<v Speaker 4>that tell you that data point.

0:41:10.120 --> 0:41:15.719
<v Speaker 10>Well, I think it shows that longevity of this asset class.

0:41:15.719 --> 0:41:19.239
<v Speaker 10>That we've seen more and more people moving bitcoin off

0:41:19.239 --> 0:41:21.880
<v Speaker 10>of exchanges, which means that they're not going to trade,

0:41:21.920 --> 0:41:26.799
<v Speaker 10>that they're storing them in highly secure ways, which means

0:41:26.800 --> 0:41:28.879
<v Speaker 10>that they're looking at this as an asset that could

0:41:28.920 --> 0:41:32.200
<v Speaker 10>had against inflation. I mean, we've seen a lot of

0:41:32.239 --> 0:41:34.600
<v Speaker 10>back and forth on you know, our interest rates going

0:41:34.680 --> 0:41:37.239
<v Speaker 10>to because are they going to bold study? Are they

0:41:37.239 --> 0:41:40.520
<v Speaker 10>going to increase? And bitcoin provides an asset that is

0:41:40.600 --> 0:41:44.280
<v Speaker 10>independent of this government policy and more and more people

0:41:44.640 --> 0:41:46.400
<v Speaker 10>worldwide want to hold this.

0:41:47.719 --> 0:41:51.520
<v Speaker 5>Carol, I mentioned you investing in blockchain startups before it

0:41:51.560 --> 0:41:56.400
<v Speaker 5>was cool. Has your approach changed over the years in

0:41:56.440 --> 0:41:58.520
<v Speaker 5>the types of company you now want to back.

0:41:59.360 --> 0:42:03.759
<v Speaker 10>Well, what exciting now versus two hundred twenty thirteen. When

0:42:03.800 --> 0:42:06.719
<v Speaker 10>I first started investing in the sector, I mean, bitcoin

0:42:06.880 --> 0:42:10.840
<v Speaker 10>was really the only crypto, publicly traded crypto that you

0:42:10.880 --> 0:42:13.319
<v Speaker 10>could invest in, and then there were a number of

0:42:13.320 --> 0:42:18.760
<v Speaker 10>exchanges that we invested in data analytics companies around crypto assets,

0:42:18.800 --> 0:42:21.680
<v Speaker 10>but there really wasn't a lot of infrastructure there. And

0:42:21.719 --> 0:42:24.759
<v Speaker 10>now we've seen ten years of build out, not only

0:42:24.800 --> 0:42:28.000
<v Speaker 10>in bitcoin, but in ethereum and all these layer twos

0:42:28.040 --> 0:42:29.040
<v Speaker 10>of scalability.

0:42:29.400 --> 0:42:30.200
<v Speaker 1>So I also.

0:42:30.000 --> 0:42:32.840
<v Speaker 10>Invested in the early Internet in the mid nineties and

0:42:32.880 --> 0:42:36.160
<v Speaker 10>the late nineties, and you know, back then we couldn't watch,

0:42:36.280 --> 0:42:39.799
<v Speaker 10>you know, videos online, and so in twenty thirteen, I say,

0:42:39.800 --> 0:42:42.880
<v Speaker 10>you know, we couldn't easily access and trade bitcoin, and

0:42:42.960 --> 0:42:47.799
<v Speaker 10>now ten years later we have ETFs and so it's

0:42:48.040 --> 0:42:51.840
<v Speaker 10>very similar progression. I'd say even faster progression as we

0:42:51.880 --> 0:42:54.600
<v Speaker 10>see the build out and so you know, just like

0:42:54.960 --> 0:42:59.760
<v Speaker 10>you know, any assets need you know, custody, need market makers,

0:42:59.800 --> 0:43:03.399
<v Speaker 10>we've seen all of that, and so the opportunity set

0:43:03.440 --> 0:43:07.120
<v Speaker 10>for investing is even wider than ever before. I mean,

0:43:07.160 --> 0:43:09.880
<v Speaker 10>we are investing out of our third fund, will be

0:43:09.920 --> 0:43:13.000
<v Speaker 10>apt to market with a fourth fund shortly, and we've

0:43:13.000 --> 0:43:14.680
<v Speaker 10>just seen more and more interesting growth.

0:43:15.160 --> 0:43:18.239
<v Speaker 5>Jelakdevan Poochri, founder managing partner of Future poe Venger is

0:43:18.280 --> 0:43:20.400
<v Speaker 5>great to catch up and we take your word in

0:43:20.480 --> 0:43:21.479
<v Speaker 5>it before it was cool.

0:43:21.760 --> 0:43:23.040
<v Speaker 4>A quick update Caroline.

0:43:23.080 --> 0:43:27.000
<v Speaker 5>Google's issue to statement saying it's working on a loading.

0:43:26.640 --> 0:43:28.080
<v Speaker 4>Issues fixed for YouTube.

0:43:28.560 --> 0:43:31.560
<v Speaker 5>Curious timing that down detectasays YouTube is down along with

0:43:31.560 --> 0:43:32.560
<v Speaker 5>those other platforms.

0:43:32.800 --> 0:43:35.040
<v Speaker 3>Yeah, I mean across the board, we're seeing Facebook being

0:43:35.040 --> 0:43:37.959
<v Speaker 3>impacted Instagram as well. We'll have to see, of course,

0:43:38.000 --> 0:43:41.319
<v Speaker 3>at the moment, plenty of rather amusing means coming out

0:43:41.320 --> 0:43:43.480
<v Speaker 3>of one, you know, musk of the moment as some

0:43:43.520 --> 0:43:46.480
<v Speaker 3>of these communications achieves have to go to X to

0:43:46.520 --> 0:43:49.560
<v Speaker 3>tell us about the acknowledgment of some of these down issues.

0:43:49.600 --> 0:43:51.960
<v Speaker 3>But meanwhile, that does it for this edition of bloembd Technology.

0:43:52.880 --> 0:43:55.399
<v Speaker 5>Please check out the podcast. That's where you can find

0:43:55.440 --> 0:43:57.600
<v Speaker 5>it from New York and SF. This is Bloomberg