WEBVTT - Adobe Falls and Bitcoin Slides from Record High

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>From the heart where Innovation, money and power.

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<v Speaker 3>Collie in Silicon Valley, Nbon.

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<v Speaker 4>This is Bloomberg Technology with Caroline Hyde and.

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<v Speaker 5>Ed Ludlow.

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<v Speaker 6>And Caroline Heide at Blomberg's world headquarters in New York.

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<v Speaker 7>Ed Ludlow, he's off today. This is Bloomberg Technology coming up.

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<v Speaker 7>Full earnings coverage.

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<v Speaker 6>Ahead. Is Adobe fools by the most of this two

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<v Speaker 6>thousand and two. That's on phears of AI competition. We'll

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<v Speaker 6>break down the results.

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<v Speaker 7>Plus bitcoins slide from its record high continues.

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<v Speaker 6>That's a bubble talk escalate.

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<v Speaker 7>We'll discuss whether the bull run can continue, and we'll

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<v Speaker 7>wrap the week that was for TikTok after the House

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<v Speaker 7>voted to ban the social app or have it divested.

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<v Speaker 6>What can we expect from the Senate.

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<v Speaker 7>Adobe the biggest mover on the Nasdaq one hundred today,

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<v Speaker 7>we're off by almost fourteen percent. As we said, I mean,

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<v Speaker 7>having its worst way day in several decades. Let's talk

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<v Speaker 7>about why it's straight to the earnings with Bertie Ford

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<v Speaker 7>and could you actually dig into the individual numbers. Perhaps

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<v Speaker 7>it wasn't that big a miss, but the amount.

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<v Speaker 6>That the stock ran up last year. People are worried.

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<v Speaker 8>You ask investors which software companies will make money from AI.

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<v Speaker 8>In twenty twenty four, it was two names, Microsoft and Adobe.

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<v Speaker 8>After last night, investors are saying, maybe it's just Microsoft,

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<v Speaker 8>right because they expected to see this big surge in

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<v Speaker 8>new business because of the AI products. Remember, Adobe has

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<v Speaker 8>spent a lot of time and money putting its model

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<v Speaker 8>into Photoshop illustrators so you can press that button generate

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<v Speaker 8>and create a new image.

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<v Speaker 2>Right But it appears that right now they are.

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<v Speaker 8>Still more focused on new user acquisition and that kind

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<v Speaker 8>of monetization of this new innovation is not coming.

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<v Speaker 2>At least for a couple of quarters.

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<v Speaker 7>In the biggest full for Adobe since twenty twenty two,

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<v Speaker 7>September the fifteenth.

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<v Speaker 6>I'm interested as to how.

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<v Speaker 7>That is really focusing a light or some of the

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<v Speaker 7>startups that aren't publicly traded.

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<v Speaker 6>We can't see these sorts of moves in.

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<v Speaker 7>I mean, Sora must have been the big one that

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<v Speaker 7>everyone looked at and thought.

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<v Speaker 6>Oh boy, he's got to race to catch up here.

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<v Speaker 8>It was a funny moment about a year ago Dolly

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<v Speaker 8>came out and mid Journey came out. That image generation

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<v Speaker 8>people got real scared for Adobe. They responded with new

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<v Speaker 8>innovations and photoshop. Investors said, Okay, we'll be fine. Sora

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<v Speaker 8>came out and it's like Groundhog Day, right, everybody is

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<v Speaker 8>afraid again.

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<v Speaker 2>There's this same energy in the air that hey.

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<v Speaker 8>This new piece of technology could make Adobe entirely obsolete, right.

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<v Speaker 8>I mean, there was an interesting conversation on the earnings

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<v Speaker 8>last night where an analyst had to Adobe, Hey, folks

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<v Speaker 8>are getting worried that in the long run this software

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<v Speaker 8>could be unused. Can you explain to us why that's

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<v Speaker 8>not the case.

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<v Speaker 2>That's not a.

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<v Speaker 8>Level of candor and anxiety you tend to hear on these.

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<v Speaker 7>Calls CA I mean, this is what investors ultimately want,

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<v Speaker 7>is transparency, and actually we're kind of hearing that from

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<v Speaker 7>the CEO.

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<v Speaker 6>And a direction of trouble.

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<v Speaker 7>What is there anyone that's bullish that's thinking, actually, look,

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<v Speaker 7>they've just been conservative here. Here we will start to

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<v Speaker 7>see generator of AI coming to the bottom line, to

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<v Speaker 7>profitability to sales.

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<v Speaker 8>Yeah, there's this argument that right now, the beauty of

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<v Speaker 8>being a big company is that you can price for

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<v Speaker 8>customer acquisition, and.

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<v Speaker 2>That's what Adobe's doing.

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<v Speaker 8>Now, that's done so well over the years that it's

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<v Speaker 8>going to kind of get all the creatives in the

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<v Speaker 8>ecosystem using its products and then monetize it.

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<v Speaker 2>Right, that's the argument.

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<v Speaker 8>Some other folks might see the numbers and say, we

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<v Speaker 8>want a revenue uplift. Now, I don't know if we're

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<v Speaker 8>willing to wait that long. When open AI is generating

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<v Speaker 8>videos with prompts.

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<v Speaker 7>Already to that point, I mean videos with prompts, it

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<v Speaker 7>does feel as though that actually isn't just around the corner.

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<v Speaker 6>I mean, what was it that.

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<v Speaker 7>I think Nryan was saying that this notion that the

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<v Speaker 7>next Oppenheim or will be done video prompt is not

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<v Speaker 7>going to happen for decades.

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<v Speaker 8>Yeah, And it's funny because he said this notion that

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<v Speaker 8>the next op at Haybro we don't have prompts, it's

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<v Speaker 8>not going to happen.

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<v Speaker 2>Then he kind of pauses us at least for a

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<v Speaker 2>couple decades, right, because there's.

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<v Speaker 8>This understanding that AI will fundamentally change the way that

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<v Speaker 8>applications for image and video happen.

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<v Speaker 2>Right for now, you're.

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<v Speaker 8>Just going to be able to tweak little things at

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<v Speaker 8>the margins. A decade or two down the line are

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<v Speaker 8>you going to have, you know, four hundred million creatives

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<v Speaker 8>paying for photoshop.

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<v Speaker 2>You might not need that many people.

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<v Speaker 7>But if the training data is when they say it is,

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<v Speaker 7>and you've got to put a protection there might be

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<v Speaker 7>helpful to them in some way, shape or form.

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<v Speaker 3>Yeah.

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<v Speaker 8>No, absolutely right, And that's the big question around the

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<v Speaker 8>training data, right is it that Adobe's big pitch as

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<v Speaker 8>it relates to AI is that we have this safety,

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<v Speaker 8>we have the copyright credentials. Whereas when it comes to

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<v Speaker 8>open AI, there's this idea that, hey, where are you

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<v Speaker 8>scraping it from? I think we all saw this very

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<v Speaker 8>famous interview with our CTO a couple of days ago.

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<v Speaker 8>He said, are you scraping from YouTube?

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<v Speaker 6>You answer it?

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<v Speaker 2>Answer it.

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<v Speaker 7>I'm sure she has more answers to that question now,

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<v Speaker 7>but some plenty of means being made with that particular

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<v Speaker 7>interview by the Wall Street Journal. Thirty two buys still

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<v Speaker 7>though on Adobe two sounds brilliant.

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<v Speaker 6>To have you on.

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<v Speaker 7>Thank you, Jody Forward running us through the latest and

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<v Speaker 7>the big dive in the Adobe share price as we say,

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<v Speaker 7>having its worst day since twenty twenty two.

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<v Speaker 6>Coming up. Bitcoin it's retreating from.

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<v Speaker 7>Its latest record high too, and that's going to take

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<v Speaker 7>on why we've got citizens JMPS Devin Ryan joining us.

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<v Speaker 9>This is Blueberg Technology.

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<v Speaker 7>Let's just talk about crypto because there's been a week

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<v Speaker 7>and Bitcoin there is actually pulling back from its recent

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<v Speaker 7>record highs that it's recently set, and there's an intensifying

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<v Speaker 7>debate about whether the ball run that we've seen across

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<v Speaker 7>the cryptosphere is kind of evidence of just speculative froth

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<v Speaker 7>that we're seeing across global markets.

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<v Speaker 6>Let's break that down with Shannali beassec.

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<v Speaker 7>And there's been some wild headlines, wild expectations today, the

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<v Speaker 7>pullback yesterday, we're hearing of a monster cycle in crypto

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<v Speaker 7>that was only just starting.

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<v Speaker 10>Yeah, it's interesting because you have seen just super inflows

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<v Speaker 10>into those ETFs, You have the having in front of you,

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<v Speaker 10>and you have a lot of people saying you have

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<v Speaker 10>this never before seen dynamic in bitcoin where you're going

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<v Speaker 10>to have more demand while supply is decreasing, but at

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<v Speaker 10>the same time there's leverage in these markets, Caroline, so.

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<v Speaker 5>Not surprising to see a pullback.

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<v Speaker 10>A lot of people have been calling from it, everyone

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<v Speaker 10>from Glenn Goodman to Mike Novograts have expected there to

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<v Speaker 10>be a pullback given the leverage that's been seen. At

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<v Speaker 10>some point, when you're buying things on margin or buying

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<v Speaker 10>things with money you don't have, there is always that

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<v Speaker 10>potential for a little bit of a reversal. However, you

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<v Speaker 10>do only see really us come full circle.

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<v Speaker 6>For the week.

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<v Speaker 10>We have still been well above sixty seven thousand, but

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<v Speaker 10>we have seen bitcoin hit those new highs even just

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<v Speaker 10>this week above seventy two thousand.

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<v Speaker 7>Talk about the leverage and where it's coming in from

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<v Speaker 7>the beause many would associate that with Asian investors, but

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<v Speaker 7>we'll keep talking about the institutional bar that's just come

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<v Speaker 7>into the market with these US bitcoins, bail etm.

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<v Speaker 10>Just think about how much leverage there is in the

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<v Speaker 10>system now. It's not the same type of leverage you

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<v Speaker 10>saw in twenty twenty one with the same types of players.

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<v Speaker 10>Of course, we saw those leverage intermediaries blow up, but

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<v Speaker 10>now the type of leverage you're seeing are from things

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<v Speaker 10>like finance perpetual futures, which are largely outside of the

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<v Speaker 10>United States. You have them in bitcoin futures as well,

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<v Speaker 10>which you buy futures on margin, and then you have

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<v Speaker 10>other forms of leverage. You think micro strategy issuing bonds

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<v Speaker 10>to buy bitcoin, and other big crypto players also tapping

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<v Speaker 10>debt markets in order to really capture the part of

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<v Speaker 10>this boom. So you can make an argument here that

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<v Speaker 10>the leverage you're seeing is happening through safer entities, more

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<v Speaker 10>regulated markets. Even in the United States. You think about

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<v Speaker 10>some of the leverage you also see in leveraged ETFs

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<v Speaker 10>for people trying to really amplify their exposure to bitcoin

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<v Speaker 10>at these prices. Now, the big question is is everything

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<v Speaker 10>we've expected out of the positivity in bitcoin priced in

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<v Speaker 10>right now or is there another thing that will add

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<v Speaker 10>some fuel to this cycle after that.

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<v Speaker 7>Having we can keep an eye on correlations, correlations within crypto,

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<v Speaker 7>Bitcoin down, Solana still up, but we also think about

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<v Speaker 7>the correlations between tech stocks, more badley, the markets, and

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<v Speaker 7>Cryptotionalibasik always does it all for.

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<v Speaker 6>Us, and we thank her so much.

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<v Speaker 7>Let's dig in really about some of the outsized returns

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<v Speaker 7>we've seen of late, whether we can continue what this

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<v Speaker 7>is in terms of a healthy or not pullback with

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<v Speaker 7>citizens Damp Director of Financial Technology Research, Devin Ryan, it's

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<v Speaker 7>great to speak to you again, Devon, and some of

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<v Speaker 7>your notes have been pretty extraordinary in terms of the

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<v Speaker 7>sheer scale of money that is entering this space and

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<v Speaker 7>where you see some of the price points going. Can

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<v Speaker 7>you just talk us through your main thesis of what

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<v Speaker 7>the ets could do for bitcoin and the ecosystem more generally.

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<v Speaker 3>Yeah, happy too, Caroline, Thanks so much for having me on.

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<v Speaker 11>So we put on a note earlier this week, and

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<v Speaker 11>we are talking about two hundred and twenty billion dollars

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<v Speaker 11>of net inflows into these ETFs.

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<v Speaker 3>Over the next three years.

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<v Speaker 11>So for context, there's been about ten billion of net

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<v Speaker 11>inflows over the first two months of launch, but we

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<v Speaker 11>see that accelerating quite a bit, and the reason being

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<v Speaker 11>is that we've essentially opened up a lot of additional

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<v Speaker 11>capital that historically, up until January this year, was shut

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<v Speaker 11>out of investing in crypto and bitcoin specifically. The biggest

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<v Speaker 11>pool that is retail.

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<v Speaker 3>Investors advisor led money.

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<v Speaker 11>There's about twenty five trillion dollars of assets where advisors

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<v Speaker 11>really want to custody the money within their own custodian,

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<v Speaker 11>not move it out to somewhere like coinbase. And so

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<v Speaker 11>ultimately now these advisors with the ETF approval.

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<v Speaker 3>Can start to look at that. But I think we're

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<v Speaker 3>in the first inning.

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<v Speaker 11>I don't think advisors have really been allocated yet, so

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<v Speaker 11>we see flows actually accelerating from here.

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<v Speaker 3>So there will be volatility.

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<v Speaker 11>But you know, in my career covering financials and fintech

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<v Speaker 11>for twenty years, you know, follow the flows and when

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<v Speaker 11>there's money coming into a new market and it's substantial,

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<v Speaker 11>which we think it will be with these ETFs, it's

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<v Speaker 11>really transformational.

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<v Speaker 7>It is amazing that we've been talking some of these cycles.

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<v Speaker 6>For years, but only now do we hear the like.

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<v Speaker 7>So you Devin talking about two hundred and twenty billion

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<v Speaker 7>dollars coming in, and we hear Bernstein yesterday out with

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<v Speaker 7>a note saying.

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<v Speaker 6>We are entering this monster cycle for crypto. What changed

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<v Speaker 6>your tune? Was it the ETF?

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<v Speaker 11>Yeah, We've been consistently constructive on the space, and you know,

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<v Speaker 11>I cover Coinbase, which is in our view, kind of

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<v Speaker 11>the biggest on ramp in the public markets into the industry.

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<v Speaker 11>I think you guys touched on it. There's a lot

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<v Speaker 11>of speculation going on. You have Bitcoin and then you

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<v Speaker 11>have you know, twenty thousand other cryptocurrencies, and I think

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<v Speaker 11>that many of those cryptocurrencies are going to be worthless

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<v Speaker 11>when you.

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<v Speaker 3>Look out over the next couple of decades.

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<v Speaker 11>That being said, we are in the early innings, and

0:10:40.640 --> 0:10:43.559
<v Speaker 11>so people are putting their chips on various blockchains that

0:10:43.600 --> 0:10:46.440
<v Speaker 11>they think will have development on top of them. And

0:10:46.600 --> 0:10:48.400
<v Speaker 11>just like you would in a technology stock or even

0:10:48.440 --> 0:10:51.199
<v Speaker 11>a biotech stock that is, you know, in its formation days,

0:10:51.240 --> 0:10:53.280
<v Speaker 11>you know, it's going to take ten years to get

0:10:53.320 --> 0:10:56.000
<v Speaker 11>to commercial application, and a lot of these blockchains are

0:10:56.040 --> 0:10:57.880
<v Speaker 11>in their first inning and people are speculating on which

0:10:57.880 --> 0:11:00.800
<v Speaker 11>ones will be utilized. And so I'm very bullish on

0:11:01.080 --> 0:11:04.760
<v Speaker 11>the applications the block technology that's kind of the broader

0:11:04.800 --> 0:11:07.920
<v Speaker 11>crypto ecosystem that coinbase is benefiting from. And then the

0:11:07.920 --> 0:11:10.600
<v Speaker 11>ETF for bitcoin is in my opinion, kind of its

0:11:10.600 --> 0:11:13.440
<v Speaker 11>own animal. But we do see again, you know, we

0:11:13.480 --> 0:11:16.680
<v Speaker 11>think people are going to increasingly move some money, you know,

0:11:16.760 --> 0:11:19.240
<v Speaker 11>small amounts, but small amounts now that you've opened the

0:11:19.280 --> 0:11:21.480
<v Speaker 11>door to, in our opinion, over one hundred trillion dollars

0:11:21.480 --> 0:11:24.080
<v Speaker 11>of capital in the US that potentially could look at

0:11:24.120 --> 0:11:27.200
<v Speaker 11>allocating something here, and we're shut out, you know, much

0:11:27.200 --> 0:11:28.720
<v Speaker 11>of that until January eleventh.

0:11:29.400 --> 0:11:32.280
<v Speaker 7>You mentioned coinbase, and just a disclosure that my husband

0:11:32.320 --> 0:11:34.760
<v Speaker 7>is a director over at coinbase, but I am interested

0:11:34.800 --> 0:11:37.760
<v Speaker 7>in outside of the space of just Bitcoin.

0:11:37.800 --> 0:11:39.280
<v Speaker 6>Bitcoin is sort of hoovered.

0:11:39.080 --> 0:11:40.880
<v Speaker 7>Up all the oxygen in terms of being able to

0:11:40.880 --> 0:11:42.280
<v Speaker 7>shine all out on the price, being able to talk

0:11:42.320 --> 0:11:45.040
<v Speaker 7>about the ets but there is talk of an e ETF.

0:11:45.080 --> 0:11:48.160
<v Speaker 7>There is still Solana doing very well, for example, other

0:11:48.240 --> 0:11:48.840
<v Speaker 7>old coins.

0:11:49.600 --> 0:11:51.920
<v Speaker 6>How does that spillover effect continue.

0:11:52.480 --> 0:11:53.920
<v Speaker 3>Yeah, it's a great question, Caroline.

0:11:53.920 --> 0:11:55.880
<v Speaker 11>So I think there was a lot of discussion in

0:11:55.920 --> 0:11:58.520
<v Speaker 11>the market leading to the Bitcoin ETF that would be

0:11:58.520 --> 0:12:01.360
<v Speaker 11>cannibalistic and that everybody would just trade the ETF and

0:12:01.400 --> 0:12:03.559
<v Speaker 11>then that would hurt Coinbase. We were taking the other

0:12:03.600 --> 0:12:05.160
<v Speaker 11>side of that argument. But I think the evidence is

0:12:05.200 --> 0:12:08.840
<v Speaker 11>now clear that in reality what's happened is there's been

0:12:08.880 --> 0:12:10.960
<v Speaker 11>a significant amount of more money that's moved into the

0:12:11.000 --> 0:12:14.880
<v Speaker 11>broader space, both Bitcoin, where Coinbase is participating a lot

0:12:14.880 --> 0:12:17.959
<v Speaker 11>of the trading of the underlying assets in the ETF

0:12:18.000 --> 0:12:20.480
<v Speaker 11>and then elsewhere. But their volumes are up over one

0:12:20.559 --> 0:12:24.480
<v Speaker 11>hundred percent trading volumes over the first quarter last year,

0:12:24.720 --> 0:12:26.480
<v Speaker 11>and a lot of that's happening in all of these

0:12:26.520 --> 0:12:29.480
<v Speaker 11>other assets, because again, people are more interested in learning

0:12:29.480 --> 0:12:32.960
<v Speaker 11>about the space and taking views on other blockchain technologies

0:12:32.960 --> 0:12:35.800
<v Speaker 11>and which ones you could be successful, and so that's

0:12:35.880 --> 0:12:37.960
<v Speaker 11>really what's happening. I think we're still kind of in

0:12:37.960 --> 0:12:40.400
<v Speaker 11>the early days of that as well. That's coinbase. But

0:12:40.400 --> 0:12:43.360
<v Speaker 11>then Coinbase is also, you know, in our opinion, going

0:12:43.400 --> 0:12:45.400
<v Speaker 11>to have their hand in virtually every aspect of how

0:12:45.440 --> 0:12:48.640
<v Speaker 11>this industry grows, whether it's tokenization of real world assets,

0:12:48.880 --> 0:12:53.400
<v Speaker 11>whether it's you know, payments and remittance and development of

0:12:53.520 --> 0:12:54.600
<v Speaker 11>Web three applications.

0:12:54.600 --> 0:12:56.280
<v Speaker 3>You know, they have their own blockchain called Base.

0:12:56.720 --> 0:12:58.360
<v Speaker 11>You know, they're very active and staking and there's going

0:12:58.400 --> 0:13:00.400
<v Speaker 11>to be a lot of innovation in this industry that

0:13:00.440 --> 0:13:01.760
<v Speaker 11>I don't think has even happened yet.

0:13:01.800 --> 0:13:02.839
<v Speaker 3>So coinbas to.

0:13:02.800 --> 0:13:05.080
<v Speaker 11>Us is really a play on that growth, even more

0:13:05.120 --> 0:13:08.040
<v Speaker 11>so than just trading volumes and you know, the exchange activity.

0:13:08.120 --> 0:13:11.199
<v Speaker 7>It's interesting that Bernstein called out robin Hood is the

0:13:11.280 --> 0:13:11.880
<v Speaker 7>key play.

0:13:12.040 --> 0:13:13.000
<v Speaker 6>You've got a twenty.

0:13:12.720 --> 0:13:15.160
<v Speaker 7>Five dollars price target, I believe in that particular company.

0:13:15.640 --> 0:13:18.560
<v Speaker 7>Where else could be benefiting in terms of brokerages. Is

0:13:18.600 --> 0:13:21.959
<v Speaker 7>it all about the institutional play and the retail play

0:13:22.000 --> 0:13:23.760
<v Speaker 7>Still yeah.

0:13:23.559 --> 0:13:26.800
<v Speaker 11>I think you know, Galaxy is a name they're Canadian

0:13:26.840 --> 0:13:29.800
<v Speaker 11>listed right now, but that's Michael Lenovogratz. As you guys mentioned,

0:13:30.360 --> 0:13:32.920
<v Speaker 11>They're clearly a public market play here. We know a

0:13:32.960 --> 0:13:34.640
<v Speaker 11>lot of the private players in this space, and there's

0:13:34.679 --> 0:13:37.360
<v Speaker 11>a lot of really interesting companies in the private markets.

0:13:37.640 --> 0:13:40.760
<v Speaker 11>Robin Hood, you know, clearly has an investor base that

0:13:40.960 --> 0:13:44.480
<v Speaker 11>is I think in the demographic that is active in crypto.

0:13:44.559 --> 0:13:46.760
<v Speaker 11>It's not as big of a driver for their business model.

0:13:47.040 --> 0:13:50.520
<v Speaker 11>Coinbase is really a pure play on the crypto ecosystem,

0:13:50.559 --> 0:13:54.199
<v Speaker 11>both trading but then also development and how was blockchain

0:13:54.520 --> 0:13:56.960
<v Speaker 11>used over the next five to ten years, and they're

0:13:56.960 --> 0:13:59.280
<v Speaker 11>going to participate in all that. I think Robinhood has

0:13:59.440 --> 0:14:00.920
<v Speaker 11>you know, their tenacles into some of that.

0:14:01.120 --> 0:14:03.960
<v Speaker 3>But you know, robin Hoood's a broader brokerage, which is good.

0:14:04.200 --> 0:14:06.600
<v Speaker 11>A lot of the other brokerages really, you know, they're

0:14:06.600 --> 0:14:08.800
<v Speaker 11>barely there yet. And that's also, in our opinion, part

0:14:08.840 --> 0:14:12.000
<v Speaker 11>of the opportunity the self directed market. I would put

0:14:12.040 --> 0:14:16.040
<v Speaker 11>in that bucket of retail investors and we estimate that

0:14:16.080 --> 0:14:18.679
<v Speaker 11>two hundred and twenty billion dollars of net inflows. You

0:14:18.720 --> 0:14:20.800
<v Speaker 11>one hundred and sixty one hundred and seventy billion of

0:14:20.840 --> 0:14:23.400
<v Speaker 11>that is still going to come from retail, whether self

0:14:23.440 --> 0:14:26.600
<v Speaker 11>directed or advisor led. And I've covered the wealth management

0:14:26.600 --> 0:14:30.400
<v Speaker 11>market for twenty years. These are folks that again they're

0:14:30.680 --> 0:14:33.640
<v Speaker 11>relatively conservative, but they want to invest where the customers

0:14:33.680 --> 0:14:34.920
<v Speaker 11>want to invest, and I think the people are going

0:14:34.960 --> 0:14:39.480
<v Speaker 11>to want some small access to this new asset class.

0:14:39.520 --> 0:14:43.040
<v Speaker 7>Sticking with it, citizens, JMP Director of Financial Technology Research

0:14:43.080 --> 0:14:45.320
<v Speaker 7>Devin Ryan. Great to talk through your note through some

0:14:45.360 --> 0:14:46.200
<v Speaker 7>of the players within it.

0:14:46.400 --> 0:14:57.000
<v Speaker 6>Thank you time now for talking tech. First up, TikTok.

0:14:56.680 --> 0:15:00.000
<v Speaker 7>Owner bike Dance is human resources chief taking the helm.

0:15:00.120 --> 0:15:03.440
<v Speaker 7>The companies sharply reduced gaming division and we'll refocus the

0:15:03.480 --> 0:15:06.240
<v Speaker 7>business on more personal content in look, an effort to

0:15:06.280 --> 0:15:09.640
<v Speaker 7>avoid the head on clash with Tencent is a pivot

0:15:09.760 --> 0:15:11.880
<v Speaker 7>for a unit that once hoped to take on the

0:15:11.960 --> 0:15:16.320
<v Speaker 7>leading Chinese game distribution leaders like Tencent and of course Nettes. Meanwhile,

0:15:16.760 --> 0:15:20.360
<v Speaker 7>the Chinese government is quietly encouraging eed makers from BYD

0:15:20.520 --> 0:15:24.000
<v Speaker 7>to Giely to sharply increase their purchases from local auto

0:15:24.080 --> 0:15:26.400
<v Speaker 7>chip makers. Is in an effort to reduce reliance on

0:15:26.480 --> 0:15:27.280
<v Speaker 7>Western imports.

0:15:27.400 --> 0:15:30.040
<v Speaker 6>Of course boosts China's own domestics semi conductor industry.

0:15:30.520 --> 0:15:33.320
<v Speaker 7>Plus, the US plans to award more than six billion

0:15:33.360 --> 0:15:36.240
<v Speaker 7>dollars to Samsung to help the chip maker expand beyond

0:15:36.360 --> 0:15:39.600
<v Speaker 7>its project in Texas, the federal funding for South Korea's

0:15:39.640 --> 0:15:43.480
<v Speaker 7>leading chip maker we're becoming, alongside significant additional US investment

0:15:43.560 --> 0:15:44.480
<v Speaker 7>by the firm.

0:15:44.640 --> 0:15:46.400
<v Speaker 6>All of that, according to sources.

0:15:47.120 --> 0:15:49.760
<v Speaker 7>Now, let's turn our attention to cybersecurity, always top of

0:15:49.800 --> 0:15:53.880
<v Speaker 7>mind for executives, the board of businesses, and you and

0:15:53.920 --> 0:15:57.160
<v Speaker 7>me as individuals. Microsoft Corporate Vice President Security, Compliance, Identity

0:15:57.160 --> 0:15:59.360
<v Speaker 7>and Management, Basu Jaka is here to tell us all

0:15:59.360 --> 0:16:02.840
<v Speaker 7>about microsf co Pilot for Security. It's a generative AI

0:16:02.880 --> 0:16:05.960
<v Speaker 7>offering that will be being made widely available at prefers.

0:16:06.360 --> 0:16:07.920
<v Speaker 6>What's the aim here for you.

0:16:08.120 --> 0:16:09.920
<v Speaker 7>To support security it professionals?

0:16:09.960 --> 0:16:11.440
<v Speaker 6>How much easier is their life going to get?

0:16:12.440 --> 0:16:12.640
<v Speaker 3>Well?

0:16:12.840 --> 0:16:15.160
<v Speaker 5>Caroline, it's so great to be here with you.

0:16:15.240 --> 0:16:18.760
<v Speaker 4>Thank you for having me to understand why we did

0:16:18.800 --> 0:16:21.040
<v Speaker 4>go by it for security. Step back and look at

0:16:21.040 --> 0:16:25.400
<v Speaker 4>what we're facing against and today the threat landscape is unprecedented.

0:16:25.440 --> 0:16:28.800
<v Speaker 4>The speed, the scale, the sophistication of attacks is increasing.

0:16:29.240 --> 0:16:31.560
<v Speaker 4>Just as an example, we're seeing a tanex increase in

0:16:31.640 --> 0:16:34.560
<v Speaker 4>identity related attacks from three billion to thirty billion over

0:16:34.560 --> 0:16:36.160
<v Speaker 4>the same time frame year over year.

0:16:36.600 --> 0:16:39.080
<v Speaker 5>And this is why we designed GO Pilot for Security.

0:16:39.480 --> 0:16:43.160
<v Speaker 4>It's the industry's first generative AI product and the industry's

0:16:43.240 --> 0:16:46.680
<v Speaker 4>leading generative AI product that's based on open AICHATGBT four

0:16:46.680 --> 0:16:50.240
<v Speaker 4>models plus a Microsoft Security model. And I do believe

0:16:50.480 --> 0:16:53.920
<v Speaker 4>that the next eighteen months of AI innovation are going

0:16:53.960 --> 0:16:57.360
<v Speaker 4>to determine the next eighteen years of cybersecurity. So that's

0:16:57.360 --> 0:16:59.640
<v Speaker 4>why we did this, because we believe that Go Buy

0:16:59.640 --> 0:17:03.160
<v Speaker 4>It for Beauty is going to help all defenders defend

0:17:03.160 --> 0:17:04.520
<v Speaker 4>at machine speed and scale.

0:17:04.760 --> 0:17:06.480
<v Speaker 7>I mean, this has been in beta, this has been

0:17:06.600 --> 0:17:07.960
<v Speaker 7>quietly rolled out and tested.

0:17:08.560 --> 0:17:11.520
<v Speaker 6>What does uptake Binlin, what is interest inbound men like?

0:17:12.680 --> 0:17:16.240
<v Speaker 4>Yeah, we actually announced co part for security last March,

0:17:16.760 --> 0:17:19.679
<v Speaker 4>and we went into private preview with tons of customers

0:17:19.680 --> 0:17:21.840
<v Speaker 4>because we wanted to do co creation. We wanted our

0:17:21.880 --> 0:17:25.199
<v Speaker 4>customers in the journey with us, and last fall we

0:17:25.280 --> 0:17:28.199
<v Speaker 4>then expanded that to hundreds of customers as well as

0:17:28.240 --> 0:17:31.639
<v Speaker 4>one hundred plus partners. What we've seen through that is

0:17:31.760 --> 0:17:34.680
<v Speaker 4>it's making defenders faster no matter who you are. So

0:17:34.680 --> 0:17:37.719
<v Speaker 4>if you're early in career, twenty six percent faster, if

0:17:37.760 --> 0:17:41.840
<v Speaker 4>your seasoned professional twenty two percent faster. We've seen ninety

0:17:41.880 --> 0:17:44.200
<v Speaker 4>seven percent of people want to use the tool again,

0:17:44.280 --> 0:17:46.560
<v Speaker 4>so there's a lot of sentiment, of positive sentiment, a

0:17:46.560 --> 0:17:50.160
<v Speaker 4>sentiment of joy using it, and a lot of organizations

0:17:50.160 --> 0:17:52.800
<v Speaker 4>are ready to embrace this or really positive feedback.

0:17:53.520 --> 0:17:55.600
<v Speaker 7>I'm going to ask a sensitive question here because you are,

0:17:55.640 --> 0:17:58.680
<v Speaker 7>of course in charge of the security business. More broadly

0:17:58.720 --> 0:18:01.560
<v Speaker 7>over at Microsoft, we've had some recent disclosures. I think

0:18:01.600 --> 0:18:03.560
<v Speaker 7>of last summer, the Chinese hackers. I think of just

0:18:03.600 --> 0:18:07.679
<v Speaker 7>a couple of months ago, the Russian affiliated hack that

0:18:07.720 --> 0:18:09.040
<v Speaker 7>we understand.

0:18:08.520 --> 0:18:11.280
<v Speaker 6>That you know, Senator Ron Wyden was saying, this is

0:18:11.320 --> 0:18:15.159
<v Speaker 6>as a compromise, is inexcusable? How much questioning if you

0:18:15.240 --> 0:18:15.800
<v Speaker 6>got on that?

0:18:16.040 --> 0:18:20.480
<v Speaker 7>And is it impacting demand for security products coming from Microsoft.

0:18:21.440 --> 0:18:24.440
<v Speaker 4>We recently publish an update on what are the Microsoft

0:18:24.560 --> 0:18:28.159
<v Speaker 4>actions that we are taking to address the cyber attack

0:18:28.240 --> 0:18:29.720
<v Speaker 4>that you just reference scale line.

0:18:29.760 --> 0:18:33.080
<v Speaker 5>It was published and Friday. We continue to do to

0:18:33.119 --> 0:18:34.000
<v Speaker 5>do all we can.

0:18:34.080 --> 0:18:36.959
<v Speaker 4>To protect Microsoft, to protect our customers, and we are

0:18:37.040 --> 0:18:40.959
<v Speaker 4>using our cybersecurity tools to really integrate the latest knowledge

0:18:40.960 --> 0:18:44.159
<v Speaker 4>from the threat landscape and then continue to protect comprehensively.

0:18:45.000 --> 0:18:48.119
<v Speaker 7>Has it hit sales though, because many would say the

0:18:48.119 --> 0:18:50.800
<v Speaker 7>compromise from the Russian hackers it was like cybersecurity one

0:18:50.800 --> 0:18:51.080
<v Speaker 7>I won.

0:18:53.320 --> 0:18:55.480
<v Speaker 5>We are continuing to our investigation.

0:18:55.640 --> 0:18:58.080
<v Speaker 4>I can't talk more than what we said on Friday,

0:18:58.560 --> 0:19:01.480
<v Speaker 4>and we continue to see our gusts using more.

0:19:01.359 --> 0:19:02.679
<v Speaker 5>Of our cybersecurity tools.

0:19:02.800 --> 0:19:05.439
<v Speaker 4>Today, we have more than a million customers who use

0:19:05.520 --> 0:19:08.600
<v Speaker 4>Microsoft security products, and as we talked about for our

0:19:08.600 --> 0:19:10.800
<v Speaker 4>co Pilate for Security, we are seeing great interest.

0:19:11.640 --> 0:19:14.840
<v Speaker 7>How is that interest coming globally at the moment? Where

0:19:14.840 --> 0:19:18.080
<v Speaker 7>are you seeing the demand come from? What kind of clients?

0:19:18.080 --> 0:19:19.920
<v Speaker 7>Are they predominantly US Western Mas?

0:19:20.000 --> 0:19:20.960
<v Speaker 6>Do you seeing it elsewhere?

0:19:21.920 --> 0:19:25.119
<v Speaker 4>We're seeing actually global demand for this, and we're making

0:19:25.119 --> 0:19:29.399
<v Speaker 4>it available globally as well. Our general availability starting April

0:19:29.440 --> 0:19:32.960
<v Speaker 4>first is global. We started in English, but we're rolling

0:19:32.960 --> 0:19:38.520
<v Speaker 4>out eight new languages Japanese and Portuguese, Spanish, et cetera,

0:19:39.000 --> 0:19:41.800
<v Speaker 4>and we expect to continue to roll this out globally

0:19:41.960 --> 0:19:45.760
<v Speaker 4>across the year. The interest in customers is also worldwide.

0:19:45.800 --> 0:19:48.200
<v Speaker 4>There is no specific region. And then again, the way

0:19:48.200 --> 0:19:51.440
<v Speaker 4>we've designed Copilate for Security is for all, so we

0:19:51.640 --> 0:19:54.960
<v Speaker 4>wanted all kinds of defenders to use it, all organizations,

0:19:54.960 --> 0:19:58.480
<v Speaker 4>public sector, private sectors, small and medium businesses, large enterprise,

0:19:58.920 --> 0:20:00.399
<v Speaker 4>So we are seeing that as well.

0:20:01.560 --> 0:20:04.840
<v Speaker 7>What's interesting is because I think being is present in China,

0:20:04.960 --> 0:20:08.320
<v Speaker 7>for example, how much do you have inbound interest for

0:20:08.359 --> 0:20:11.760
<v Speaker 7>your products from a security basis coming from China.

0:20:11.920 --> 0:20:14.840
<v Speaker 4>We have interest across the world for our security products,

0:20:14.840 --> 0:20:16.119
<v Speaker 4>and we have it available.

0:20:16.160 --> 0:20:17.960
<v Speaker 5>We have different products today.

0:20:17.960 --> 0:20:20.719
<v Speaker 4>We integrate fifty plus categories and bring you to life

0:20:20.720 --> 0:20:24.400
<v Speaker 4>in six product families which form our Microsoft Security Cloud.

0:20:24.760 --> 0:20:27.679
<v Speaker 4>And depending on where customers are in the journey, they

0:20:27.680 --> 0:20:30.439
<v Speaker 4>are using different parts of our products. Some use the

0:20:30.480 --> 0:20:33.280
<v Speaker 4>full stacks, some use just one or two products, and

0:20:33.359 --> 0:20:36.399
<v Speaker 4>we have seven hundred thousand plus customers who are using

0:20:36.520 --> 0:20:37.800
<v Speaker 4>four or more of our products.

0:20:37.800 --> 0:20:41.920
<v Speaker 6>Now, have you had any a pressure to be pulling back?

0:20:41.960 --> 0:20:42.600
<v Speaker 6>You're offering that.

0:20:44.720 --> 0:20:47.560
<v Speaker 4>We haven't seen any pressure to pull back our product.

0:20:48.560 --> 0:20:50.480
<v Speaker 7>We want to thank you for your transparency today to

0:20:50.520 --> 0:20:53.320
<v Speaker 7>talk through the product to the uptake already and the.

0:20:53.280 --> 0:20:54.600
<v Speaker 6>Demand that you're continuing to see.

0:20:54.640 --> 0:20:56.280
<v Speaker 7>We thank you so much of the time today, Microsoft

0:20:56.320 --> 0:21:00.560
<v Speaker 7>Corporate Vice President's Security, Compliance, Identity and Management Aspassion, we

0:21:00.640 --> 0:21:10.359
<v Speaker 7>thank her. Welcome back to Bloue Meg Technology. I'm Caroin

0:21:10.400 --> 0:21:12.280
<v Speaker 7>Hid in New York. Let's just talk more, borady about

0:21:12.280 --> 0:21:13.960
<v Speaker 7>what we've had across this week.

0:21:14.000 --> 0:21:15.440
<v Speaker 6>When it comes to TikTok and.

0:21:15.440 --> 0:21:18.000
<v Speaker 7>China, We've heard from the chairman of the Senate Intelligence

0:21:18.000 --> 0:21:19.640
<v Speaker 7>Committee potentially about.

0:21:19.359 --> 0:21:21.320
<v Speaker 6>That ban or divestment. Take listen.

0:21:22.680 --> 0:21:26.679
<v Speaker 12>They're collecting enormous amount of personal data about Americans. The

0:21:26.720 --> 0:21:29.000
<v Speaker 12>genius of TikTok it kind of knows what you like

0:21:29.160 --> 0:21:32.480
<v Speaker 12>even before you may know. And that kind of personal

0:21:32.560 --> 0:21:35.440
<v Speaker 12>data of the one hundred and seventy million Americans who

0:21:35.440 --> 0:21:37.920
<v Speaker 12>are on ninety minutes a day. If you don't think

0:21:37.960 --> 0:21:40.800
<v Speaker 12>that as a security risker, potentially you could be blackmailed

0:21:40.800 --> 0:21:45.000
<v Speaker 12>at some future time by Asians of the Chinese government,

0:21:45.240 --> 0:21:48.760
<v Speaker 12>then I think you don't understand the unfortunate real world

0:21:48.760 --> 0:21:49.399
<v Speaker 12>that we live in.

0:21:50.400 --> 0:21:53.840
<v Speaker 7>So there's a senator who potentially wants to see an

0:21:53.920 --> 0:21:57.600
<v Speaker 7>expedited bill pass through his part of the US government.

0:21:57.640 --> 0:21:59.960
<v Speaker 7>But let's get to Alex Barinka for the latest on tikto,

0:22:00.240 --> 0:22:02.720
<v Speaker 7>because it was such a rapid week in terms of

0:22:02.720 --> 0:22:06.359
<v Speaker 7>it getting through the House with real momentum, the idea

0:22:06.400 --> 0:22:08.840
<v Speaker 7>of a ban or be bought by someone else.

0:22:09.119 --> 0:22:10.680
<v Speaker 6>But the Senate seems to be slowing down.

0:22:11.680 --> 0:22:13.399
<v Speaker 1>I think for those of us who've watched this process

0:22:13.400 --> 0:22:16.239
<v Speaker 1>are taking a deep breath on this Friday, because it

0:22:16.240 --> 0:22:18.080
<v Speaker 1>does seem like it's slowing down. In the Senate, and

0:22:18.119 --> 0:22:21.280
<v Speaker 1>that's for a few reasons. We've heard from senators on

0:22:21.359 --> 0:22:25.160
<v Speaker 1>both sides of the aisle who are basically in support

0:22:25.359 --> 0:22:28.159
<v Speaker 1>of some kind of regulation either of TikTok or of

0:22:28.200 --> 0:22:31.440
<v Speaker 1>data privacy on social media more broadly, but are saying

0:22:31.480 --> 0:22:33.480
<v Speaker 1>that maybe not so fast, we need to take a

0:22:33.520 --> 0:22:34.200
<v Speaker 1>look at this bill.

0:22:34.359 --> 0:22:35.320
<v Speaker 6>One example on the.

0:22:35.240 --> 0:22:39.560
<v Speaker 1>Democrat side is Senator Richard Blumenthal, who said that he's

0:22:39.600 --> 0:22:43.280
<v Speaker 1>in support of separating TikTok from byte Dance, it's parent company,

0:22:43.280 --> 0:22:46.879
<v Speaker 1>it's Chinese parent company, but warned that the deadline in

0:22:46.920 --> 0:22:49.320
<v Speaker 1>the bill about one hundred and sixty five days was

0:22:49.359 --> 0:22:52.240
<v Speaker 1>too short. So that's one kind of knock against this

0:22:52.320 --> 0:22:56.840
<v Speaker 1>moving forward. Another very interesting name, Caroline was Republican Senator

0:22:56.840 --> 0:23:00.600
<v Speaker 1>Ted Cruz, who has consistently been a voice again TikTok

0:23:00.640 --> 0:23:04.040
<v Speaker 1>and sits on the Commerce Committee, which has jurisdiction.

0:23:03.640 --> 0:23:04.320
<v Speaker 6>Over this bill.

0:23:04.560 --> 0:23:07.600
<v Speaker 1>He also said that this bill should be referred to

0:23:07.640 --> 0:23:10.560
<v Speaker 1>the Senate panel for more work, that this bill would

0:23:10.600 --> 0:23:14.240
<v Speaker 1>go through the full amendment process and that would slow

0:23:14.240 --> 0:23:17.240
<v Speaker 1>it down. I will point out we are now also

0:23:17.560 --> 0:23:20.520
<v Speaker 1>just months out from the November US election.

0:23:21.040 --> 0:23:22.160
<v Speaker 6>Does anyone want to be.

0:23:22.200 --> 0:23:24.520
<v Speaker 1>Kind of going back and forth on this bill right now,

0:23:24.640 --> 0:23:26.800
<v Speaker 1>or do they want to be out on the road campaigning.

0:23:27.000 --> 0:23:29.879
<v Speaker 1>I think that's a very valid question to ask as

0:23:29.960 --> 0:23:33.280
<v Speaker 1>the Senate Chamber considers the timing on whether or not

0:23:33.440 --> 0:23:35.040
<v Speaker 1>they move this one forward.

0:23:34.760 --> 0:23:37.639
<v Speaker 7>And ultimately whether the US population thinks this is a

0:23:37.680 --> 0:23:40.720
<v Speaker 7>priority or indeed to the opposite side.

0:23:40.720 --> 0:23:41.239
<v Speaker 6>Hates it.

0:23:41.359 --> 0:23:45.040
<v Speaker 7>And just tell us about how we've seen immobilized gen z.

0:23:45.240 --> 0:23:47.840
<v Speaker 7>Have they been doing what TikTok costs and calling their

0:23:47.960 --> 0:23:52.040
<v Speaker 7>representatives because suddenly maybe Trump, who originally floated the idea

0:23:52.080 --> 0:23:54.399
<v Speaker 7>of a TikTok ban, seems to be going against it,

0:23:54.400 --> 0:23:58.119
<v Speaker 7>in large part because he was of a backlash.

0:23:56.920 --> 0:23:57.320
<v Speaker 6>They have been.

0:23:57.400 --> 0:24:00.480
<v Speaker 1>Lawmakers phones have been flooded at different times this week

0:24:00.600 --> 0:24:03.520
<v Speaker 1>with calls from their constituents who are saying, don't vote

0:24:03.520 --> 0:24:04.240
<v Speaker 1>this bill through.

0:24:04.440 --> 0:24:05.199
<v Speaker 3>There are one hundred and.

0:24:05.160 --> 0:24:09.040
<v Speaker 1>Seventy million Americans who use this app on a monthly basis.

0:24:09.200 --> 0:24:11.639
<v Speaker 1>The average age of those users is over thirty, So

0:24:11.760 --> 0:24:15.520
<v Speaker 1>absolutely the voting contingent. And for the Democrats in particular,

0:24:15.560 --> 0:24:18.360
<v Speaker 1>they've really relied on young people on the last presidential

0:24:18.400 --> 0:24:22.040
<v Speaker 1>election and the midterms to help them win on the ground.

0:24:22.359 --> 0:24:25.080
<v Speaker 1>So though President Biden has said he would sign this

0:24:25.160 --> 0:24:28.000
<v Speaker 1>bill if it passed through both chambers and hit his desk.

0:24:28.280 --> 0:24:31.320
<v Speaker 1>That is certainly something that strategists we are talking to

0:24:31.359 --> 0:24:34.760
<v Speaker 1>say that politicians need to pay attention to youth voter

0:24:34.880 --> 0:24:37.840
<v Speaker 1>turnout poles say might be a lot lower in the past.

0:24:37.920 --> 0:24:40.440
<v Speaker 1>That could be a real problem for Democrats in particular.

0:24:40.720 --> 0:24:44.120
<v Speaker 1>So is upsetting that cohort of people a smart idea? Well,

0:24:44.160 --> 0:24:46.760
<v Speaker 1>I do think that some people are potentially thinking twice

0:24:46.960 --> 0:24:50.000
<v Speaker 1>even though they think that this might be really important legislation,

0:24:50.640 --> 0:24:54.160
<v Speaker 1>either on data privacy or specifically on TikTok and.

0:24:54.520 --> 0:24:58.159
<v Speaker 6>Just remind us Alex. This whole debate throws up so

0:24:58.240 --> 0:24:59.000
<v Speaker 6>many questions.

0:24:59.119 --> 0:25:01.800
<v Speaker 7>One key one is who would buy it if they

0:25:01.800 --> 0:25:03.160
<v Speaker 7>were divested and.

0:25:03.080 --> 0:25:05.240
<v Speaker 6>What sort of price point? Who the names in the ring?

0:25:06.800 --> 0:25:10.920
<v Speaker 1>The names are, it's an interesting shortlist. Bloomberg Intelligence puts

0:25:10.960 --> 0:25:13.480
<v Speaker 1>the US business at about thirty five to forty billion

0:25:13.520 --> 0:25:14.840
<v Speaker 1>dollars in valuation.

0:25:15.760 --> 0:25:16.680
<v Speaker 6>Not too many.

0:25:16.480 --> 0:25:18.359
<v Speaker 1>People could write a check that big, and some of

0:25:18.359 --> 0:25:20.720
<v Speaker 1>the names like Meta, Amazon or Alphabet who would be

0:25:20.760 --> 0:25:23.040
<v Speaker 1>the obvious ones, might have a hard time getting that

0:25:23.080 --> 0:25:26.680
<v Speaker 1>through antitrust review. We've already had people like former Treasury

0:25:26.720 --> 0:25:29.680
<v Speaker 1>Secretary Steve Manuchin come out and say, hey, I want

0:25:29.680 --> 0:25:31.479
<v Speaker 1>to get a group of buyers together to buy this

0:25:31.560 --> 0:25:34.359
<v Speaker 1>asset if this bill goes through. But it is an

0:25:34.400 --> 0:25:37.720
<v Speaker 1>incredibly valuable one. So while that list of names might

0:25:37.760 --> 0:25:40.600
<v Speaker 1>be short right now, if this bill does get signed

0:25:40.600 --> 0:25:44.040
<v Speaker 1>into law, I can probably guarantee we'll have folks across

0:25:44.040 --> 0:25:46.560
<v Speaker 1>the board who are saying, hey, this is an incredibly

0:25:46.600 --> 0:25:49.240
<v Speaker 1>powerful asset. What can we do to kind of put

0:25:49.280 --> 0:25:52.400
<v Speaker 1>together either a consortium, sell a piece of it public,

0:25:52.760 --> 0:25:55.720
<v Speaker 1>or keep it private so that we can keep this

0:25:55.920 --> 0:25:59.600
<v Speaker 1>really kind of money making, lucrative potential asset in the

0:25:59.640 --> 0:26:02.760
<v Speaker 1>hands of Americans, but keep it making money for those owners.

0:26:02.960 --> 0:26:05.240
<v Speaker 7>Your old M and A be coming straight back at you,

0:26:05.480 --> 0:26:08.080
<v Speaker 7>Alex Spirenka, perfect person be talking about all of this.

0:26:08.200 --> 0:26:11.880
<v Speaker 6>We thank you so much. Meanwhile, let's turn to the legal.

0:26:11.600 --> 0:26:15.720
<v Speaker 7>Implications of any sort of potential ban or indeed divestment

0:26:15.800 --> 0:26:18.359
<v Speaker 7>of TikTok. David Greens with US Senior staff attorney and

0:26:18.400 --> 0:26:21.320
<v Speaker 7>Civil Liberties Director over the Electronic Frontier Foundation. Now that's

0:26:21.320 --> 0:26:25.400
<v Speaker 7>a nonprofit organization that defensible liberties in the digital works.

0:26:25.440 --> 0:26:28.920
<v Speaker 7>And David, what's been interesting is some of the reticence

0:26:28.960 --> 0:26:33.119
<v Speaker 7>from certain senators has been we can't just deploy a

0:26:33.240 --> 0:26:34.680
<v Speaker 7>leaf out of China's book here.

0:26:34.720 --> 0:26:37.280
<v Speaker 6>We can't do what they do, which has banned.

0:26:37.560 --> 0:26:40.439
<v Speaker 7>Ultimately social media forms of expression that we don't like.

0:26:41.000 --> 0:26:42.399
<v Speaker 6>Is that something you're thinking about.

0:26:43.359 --> 0:26:45.240
<v Speaker 13>Oh, yes, I'm thinking about it quite a bit, and

0:26:45.400 --> 0:26:48.240
<v Speaker 13>I'm actually glad to hear that senators are thinking about

0:26:48.280 --> 0:26:53.280
<v Speaker 13>it as well. The US, you know, historically, really really

0:26:53.320 --> 0:26:57.119
<v Speaker 13>without exception, over the over the past or at least

0:26:57.160 --> 0:26:59.720
<v Speaker 13>sixty years, has been a champion for the free flow

0:26:59.760 --> 0:27:03.760
<v Speaker 13>of in around the world, and we've chastised other governments

0:27:04.280 --> 0:27:08.200
<v Speaker 13>when they have shut down apps and calling those actions undemocratic.

0:27:08.280 --> 0:27:12.159
<v Speaker 13>I think most recently, or maybe most famously, when the

0:27:12.440 --> 0:27:17.960
<v Speaker 13>government of Nigeria shut down Twitter because it accused Twitter

0:27:18.119 --> 0:27:23.320
<v Speaker 13>of disseminating misinformation about the Nigerian government, and they shut

0:27:23.359 --> 0:27:25.560
<v Speaker 13>down Twitter for six months, and the US State Department

0:27:25.600 --> 0:27:28.320
<v Speaker 13>issued a very strong statement telling them that even if

0:27:28.359 --> 0:27:30.920
<v Speaker 13>they didn't like the content and thought it might be harmful,

0:27:30.920 --> 0:27:33.600
<v Speaker 13>that it was undemocratic to cut off a mode of

0:27:33.600 --> 0:27:36.479
<v Speaker 13>communication that was used by its people. And we are

0:27:36.520 --> 0:27:38.640
<v Speaker 13>now doing the same thing, And it is quite ironic

0:27:38.680 --> 0:27:41.560
<v Speaker 13>that's happening in the context of China, which is, you know,

0:27:41.600 --> 0:27:44.119
<v Speaker 13>a nation that doesn't have a good human rights and

0:27:44.160 --> 0:27:47.560
<v Speaker 13>civil liberties history, and yet here we are really, you know,

0:27:47.720 --> 0:27:51.960
<v Speaker 13>taking a page out of an undemocratic playbook to try

0:27:52.000 --> 0:27:53.000
<v Speaker 13>to address concerns.

0:27:53.880 --> 0:27:58.840
<v Speaker 7>Those concerns, let's dwell on them, because maybe people would say, Okay,

0:27:58.880 --> 0:28:01.959
<v Speaker 7>we need to adopt a leaf adrada out of their

0:28:02.000 --> 0:28:06.800
<v Speaker 7>book because we cannot risk manipulation on the platform itself.

0:28:06.800 --> 0:28:09.560
<v Speaker 7>We cannot risk us data getting into the hands of

0:28:09.560 --> 0:28:12.800
<v Speaker 7>the Chinese. But couldn't they just access the data any

0:28:12.800 --> 0:28:13.840
<v Speaker 7>how without TikTok?

0:28:14.680 --> 0:28:18.439
<v Speaker 13>Yes, absolutely, And I think there's really good reasons to

0:28:18.480 --> 0:28:23.119
<v Speaker 13>be concerned about the amount of data that TikTok and

0:28:23.160 --> 0:28:28.320
<v Speaker 13>really almost every other social media service collect about US users.

0:28:28.320 --> 0:28:31.840
<v Speaker 13>They collect a tremendous amount of data, they retain it,

0:28:31.880 --> 0:28:33.879
<v Speaker 13>and then they share it widely. And there's a whole

0:28:33.880 --> 0:28:37.560
<v Speaker 13>industry of data brokers that buy information from social media

0:28:37.560 --> 0:28:39.920
<v Speaker 13>companies and other online services and then sell it all

0:28:39.960 --> 0:28:43.440
<v Speaker 13>across the world, including to governments like China and other

0:28:43.600 --> 0:28:47.480
<v Speaker 13>foreign adversaries, even those who don't operate their own social

0:28:47.560 --> 0:28:50.360
<v Speaker 13>media companies. So I really think it's safe to assume

0:28:50.600 --> 0:28:56.280
<v Speaker 13>that China has regardless of ownership by ByteDance. China has

0:28:56.320 --> 0:28:59.200
<v Speaker 13>a lot of information about US users. The way to

0:28:59.240 --> 0:29:02.680
<v Speaker 13>address that, of course, is to pass comprehensive data privacy law.

0:29:03.000 --> 0:29:05.800
<v Speaker 13>And this, the bill that the House past, is not

0:29:05.920 --> 0:29:08.360
<v Speaker 13>a privacy law. It says very very little, It has

0:29:08.440 --> 0:29:12.040
<v Speaker 13>very few provisions in it that actually guarantee privacy for

0:29:12.320 --> 0:29:15.959
<v Speaker 13>US users, and really just shutting down TikTok will do

0:29:16.560 --> 0:29:21.080
<v Speaker 13>will be just a very tiny step and largely ineffectual

0:29:21.120 --> 0:29:23.240
<v Speaker 13>one in protecting US data.

0:29:24.120 --> 0:29:28.440
<v Speaker 7>So, David, why if we hear from Elizabeth Warren? She

0:29:28.480 --> 0:29:32.000
<v Speaker 7>seems to want to broader privacy law, But what would

0:29:32.040 --> 0:29:36.120
<v Speaker 7>stop that actually being executed? Is it lobbying from social

0:29:36.120 --> 0:29:38.480
<v Speaker 7>media companies here in the US? Is it ultimately the

0:29:39.480 --> 0:29:41.520
<v Speaker 7>negatives to some of that privacy overreach?

0:29:42.560 --> 0:29:44.400
<v Speaker 5>Well, it's I don't know.

0:29:44.440 --> 0:29:47.880
<v Speaker 13>I don't know what the reluctance of Congress has been,

0:29:49.040 --> 0:29:52.520
<v Speaker 13>but I and it's not. It's not completely easy to

0:29:52.560 --> 0:29:55.480
<v Speaker 13>write a good comprehensive data privacy law. There have been

0:29:55.520 --> 0:29:58.800
<v Speaker 13>some proposed, and we eff haven't actually been completely pleased

0:29:58.800 --> 0:30:00.720
<v Speaker 13>with a lot of the with a lot of the

0:30:00.760 --> 0:30:02.960
<v Speaker 13>proposal because we don't think they go we don't they

0:30:03.080 --> 0:30:03.920
<v Speaker 13>go far enough.

0:30:04.240 --> 0:30:06.440
<v Speaker 5>I don't know what the political obstacle is.

0:30:06.600 --> 0:30:10.280
<v Speaker 13>It seems, and it really makes me question because it

0:30:10.360 --> 0:30:13.200
<v Speaker 13>has been so difficult to pass a data privacy law

0:30:13.520 --> 0:30:16.280
<v Speaker 13>and it was so easy to get this TikTok bill through.

0:30:16.720 --> 0:30:20.920
<v Speaker 13>It really makes me question whether the motivations behind this

0:30:21.120 --> 0:30:25.320
<v Speaker 13>most recent TikTok bill are data privacy because this sailed

0:30:25.320 --> 0:30:28.880
<v Speaker 13>through the House in three days, and we've and privacy

0:30:28.960 --> 0:30:30.760
<v Speaker 13>legislations had a much tougher slock.

0:30:31.720 --> 0:30:35.120
<v Speaker 7>It was fast bipartisanship, which we don't say much TikTok

0:30:35.160 --> 0:30:37.800
<v Speaker 7>issuing a statement of course saying that it's jammed through

0:30:37.800 --> 0:30:38.480
<v Speaker 7>for one reason.

0:30:38.800 --> 0:30:39.239
<v Speaker 6>It's a ban.

0:30:39.600 --> 0:30:42.000
<v Speaker 7>David Green, we thank you so much, Senior staff attorney

0:30:42.000 --> 0:30:44.560
<v Speaker 7>and Civil Liberties director over at the Electronic Frontier Foundation.

0:30:44.720 --> 0:30:46.440
<v Speaker 6>Some great resources there.

0:30:46.680 --> 0:30:48.520
<v Speaker 7>I Meanwhile, coming up that we're going to be speaking

0:30:48.520 --> 0:30:52.000
<v Speaker 7>with Alis Spentink, CEO and co founder of Entrepreneur First

0:30:52.200 --> 0:30:55.040
<v Speaker 7>is about opening up a new office in San Francisco,

0:30:55.120 --> 0:30:58.600
<v Speaker 7>bringing entrepreneurs over from London, from Bangalore, from.

0:30:58.520 --> 0:31:00.400
<v Speaker 6>New York to the Bay Area.

0:31:00.720 --> 0:31:03.600
<v Speaker 7>Meanwhile, let's just focus in on what's happening in Africa

0:31:03.640 --> 0:31:06.000
<v Speaker 7>at the moment, because well, there's been a real lack

0:31:06.480 --> 0:31:09.360
<v Speaker 7>of access to the internet ultimately at the moment, and

0:31:09.480 --> 0:31:13.320
<v Speaker 7>undersea cable damage has caused internet outages across Africa, we

0:31:13.400 --> 0:31:17.520
<v Speaker 7>understand and we're seeing an impact not so much on

0:31:17.520 --> 0:31:19.840
<v Speaker 7>an MTN group today it's up two point three percent.

0:31:19.960 --> 0:31:23.200
<v Speaker 7>This in Votercom, Africa's biggest wireless carry is basically trying

0:31:23.240 --> 0:31:26.320
<v Speaker 7>to tackle these issues of connectivity and they say multiple

0:31:26.360 --> 0:31:29.520
<v Speaker 7>undersea cables failures between South Africa and Europe are currently

0:31:29.520 --> 0:31:33.280
<v Speaker 7>impacting the network providers. Microsoft also impacted as well.

0:31:33.320 --> 0:31:35.800
<v Speaker 6>They're saying they're reported disruptions to its cloud services.

0:31:36.000 --> 0:31:53.960
<v Speaker 7>And Microsoft three sixty five is the Blombo technology Entrepreneur

0:31:54.080 --> 0:31:58.320
<v Speaker 7>First and invests in early career technical founder talent that

0:31:58.480 --> 0:32:00.880
<v Speaker 7>is now opening up in San Francisco, an office there

0:32:00.880 --> 0:32:04.000
<v Speaker 7>to connect the founders in the world's best following ecosystem. Well,

0:32:04.040 --> 0:32:07.560
<v Speaker 7>so they say, let's bring on Alice Bentink, co founder

0:32:07.640 --> 0:32:10.080
<v Speaker 7>CEO of Entrepreneur First, which I know well from having

0:32:10.440 --> 0:32:13.200
<v Speaker 7>covered the London scene for a couple of decades and

0:32:13.400 --> 0:32:16.120
<v Speaker 7>seen the rise of EF You've then, of course built

0:32:16.160 --> 0:32:17.520
<v Speaker 7>offices in New York.

0:32:17.680 --> 0:32:20.719
<v Speaker 6>They're over in Bangalore even as well as in Paris.

0:32:20.800 --> 0:32:24.400
<v Speaker 7>I'm interested as to why now San Francisco, What does

0:32:24.400 --> 0:32:26.120
<v Speaker 7>that ecosystem have that the others don't.

0:32:27.720 --> 0:32:27.920
<v Speaker 2>Well.

0:32:27.960 --> 0:32:30.000
<v Speaker 14>For a number of years now, we've been working directly

0:32:30.040 --> 0:32:33.120
<v Speaker 14>with the San Francisco ecosystem. So back in twenty seventeen,

0:32:33.240 --> 0:32:36.480
<v Speaker 14>we raised the Series A from led by Graylock alongside

0:32:36.480 --> 0:32:39.000
<v Speaker 14>reied Hoffmann and Founder's Fund. As we've been plugged into

0:32:39.000 --> 0:32:41.440
<v Speaker 14>this ecosystem for a while, and what we've seen is

0:32:41.600 --> 0:32:44.560
<v Speaker 14>there's a huge amount of demand from Bay Area investors

0:32:44.720 --> 0:32:48.200
<v Speaker 14>to invest in exceptional talent that comes from Europe and Asia.

0:32:48.560 --> 0:32:53.000
<v Speaker 14>We've had vcs like Andresen and Kosler and Sequoia invest

0:32:53.000 --> 0:32:53.920
<v Speaker 14>in our companies at.

0:32:53.800 --> 0:32:54.920
<v Speaker 6>A very early stage.

0:32:55.080 --> 0:32:57.160
<v Speaker 14>And what we're doing now is we're building a bridge

0:32:57.320 --> 0:32:59.800
<v Speaker 14>between the exceptional talent and the exceptional founders that were

0:32:59.800 --> 0:33:02.480
<v Speaker 14>seeing in Europe and Asia and bringing them to the

0:33:02.520 --> 0:33:05.200
<v Speaker 14>Bay Area to access not just the investors, but the

0:33:05.240 --> 0:33:08.680
<v Speaker 14>wider ecosystem and the magic, if you like, of the

0:33:08.760 --> 0:33:09.640
<v Speaker 14>Bay Area.

0:33:09.800 --> 0:33:13.400
<v Speaker 7>If you've already had this talent and success. For example,

0:33:13.480 --> 0:33:15.440
<v Speaker 7>I mean what we're seeing portfolio now worth more than

0:33:15.480 --> 0:33:17.800
<v Speaker 7>ten billion dollars. As you say, some of these companies

0:33:17.800 --> 0:33:20.640
<v Speaker 7>that are well known, particularly in Europe and more broadly

0:33:20.680 --> 0:33:23.720
<v Speaker 7>worldwide of received funding from read Hoffmann, who I know

0:33:23.840 --> 0:33:24.080
<v Speaker 7>is going.

0:33:24.040 --> 0:33:25.240
<v Speaker 6>To be opening your office today.

0:33:26.120 --> 0:33:28.360
<v Speaker 7>Why there need to be even more plugged in if

0:33:28.360 --> 0:33:29.520
<v Speaker 7>it's already worked thus far.

0:33:31.120 --> 0:33:33.080
<v Speaker 14>I mean, it's a great point, but I think if

0:33:33.120 --> 0:33:35.920
<v Speaker 14>you look, the bridge is actually building in both directions.

0:33:36.240 --> 0:33:38.760
<v Speaker 14>We see many of the firms that I just mentioned

0:33:38.840 --> 0:33:40.760
<v Speaker 14>opening offices in London.

0:33:40.480 --> 0:33:41.560
<v Speaker 6>To access Europe.

0:33:41.680 --> 0:33:43.400
<v Speaker 14>But we really see this as a strengthening of the

0:33:43.440 --> 0:33:45.240
<v Speaker 14>ties between the two ecosystems.

0:33:45.920 --> 0:33:46.720
<v Speaker 6>I think it's also.

0:33:46.600 --> 0:33:49.880
<v Speaker 14>Word saying that by bringing our companies here and helping

0:33:49.880 --> 0:33:53.120
<v Speaker 14>them access the level of ambition, the depth of network,

0:33:53.320 --> 0:33:55.440
<v Speaker 14>and it's not just about the investors here, it's also

0:33:55.480 --> 0:33:58.400
<v Speaker 14>about who you can hire, who you're surrounded by, and

0:33:58.400 --> 0:34:00.760
<v Speaker 14>we're excited to give our companies deep access to that.

0:34:01.640 --> 0:34:05.240
<v Speaker 7>It's expensive to hire that talent on the West Coast.

0:34:05.400 --> 0:34:07.640
<v Speaker 7>What have been some of the nerves coming into those

0:34:07.760 --> 0:34:10.120
<v Speaker 7>foulers coming over because you've got a whole raft of

0:34:10.160 --> 0:34:12.920
<v Speaker 7>companies coming, but where do they see some of the worries?

0:34:14.120 --> 0:34:16.359
<v Speaker 14>So we've got thirty three companies that have joined us

0:34:16.400 --> 0:34:16.920
<v Speaker 14>out here.

0:34:17.160 --> 0:34:18.560
<v Speaker 6>I think some of the worries.

0:34:18.239 --> 0:34:22.360
<v Speaker 14>Are around the cost of running a company here, but

0:34:22.440 --> 0:34:25.120
<v Speaker 14>I would say that is offset by the benefits of

0:34:25.160 --> 0:34:30.200
<v Speaker 14>the ecosystem. I think the real opportunity here is to

0:34:30.280 --> 0:34:33.120
<v Speaker 14>expand their ambitions, give them access to the US market,

0:34:33.640 --> 0:34:37.920
<v Speaker 14>and to give them access to a opportunity that they can.

0:34:37.840 --> 0:34:38.640
<v Speaker 6>Access in Europe.

0:34:38.640 --> 0:34:41.160
<v Speaker 14>But our companies are trying to build globally from day one,

0:34:42.080 --> 0:34:45.080
<v Speaker 14>and the US market is so large and recently consistent

0:34:45.800 --> 0:34:47.759
<v Speaker 14>that we believe this gives them a better opportunity to

0:34:47.760 --> 0:34:50.680
<v Speaker 14>build a globally important company from the very beginning.

0:34:50.800 --> 0:34:52.920
<v Speaker 7>What kind of companies have come, I mean we're just

0:34:52.960 --> 0:34:55.480
<v Speaker 7>thinking of why Combinator, for example, and guess what a

0:34:55.480 --> 0:34:58.120
<v Speaker 7>whole load of their recent batch have been AI and

0:34:58.160 --> 0:35:01.240
<v Speaker 7>generative AI focused. Is Is that the kind of slant

0:35:01.280 --> 0:35:04.920
<v Speaker 7>that you're seeing with the companies you're enticing over I mean,

0:35:05.080 --> 0:35:08.320
<v Speaker 7>AI is the defining technology of our generation, and so yes,

0:35:08.360 --> 0:35:10.160
<v Speaker 7>a lot of our companies.

0:35:09.760 --> 0:35:12.279
<v Speaker 6>Are the majority are using AI in some way.

0:35:12.920 --> 0:35:15.720
<v Speaker 14>We've actually been investing in AI companies since twenty fourteen,

0:35:15.880 --> 0:35:18.360
<v Speaker 14>and we built Europe's first computer vision Unicorn, and in

0:35:18.400 --> 0:35:20.600
<v Speaker 14>some ways that's a great example of why we're doing this.

0:35:20.760 --> 0:35:24.239
<v Speaker 14>So it was a founder from Romania, a founder from

0:35:24.280 --> 0:35:27.160
<v Speaker 14>France that built together in our office in London and

0:35:27.200 --> 0:35:29.640
<v Speaker 14>then actually got their seed investment from a US based

0:35:29.680 --> 0:35:32.960
<v Speaker 14>firm called Zetta that's based in San Francisco, actually next

0:35:32.960 --> 0:35:35.160
<v Speaker 14>to our office in South Park, and I think that

0:35:35.200 --> 0:35:38.720
<v Speaker 14>demonstrates the importance of the bridge between the two ecosystems.

0:35:39.080 --> 0:35:42.279
<v Speaker 7>You're clearly bringing geographical diversity as you talk about those

0:35:42.280 --> 0:35:44.560
<v Speaker 7>two technical founders you brought together, and it is quite

0:35:44.560 --> 0:35:48.760
<v Speaker 7>such an interesting concept you built basically find those founders early,

0:35:49.120 --> 0:35:52.919
<v Speaker 7>back them, pre idea pre team, pre product market fit,

0:35:53.200 --> 0:35:56.239
<v Speaker 7>and actually build it within What is the.

0:35:56.160 --> 0:35:57.919
<v Speaker 6>Cohort looking like as well?

0:35:58.000 --> 0:36:00.120
<v Speaker 7>I mean it's a boring question for one woman to

0:36:00.120 --> 0:36:03.680
<v Speaker 7>ask another, but there is a question of diversity.

0:36:04.480 --> 0:36:07.240
<v Speaker 14>If you work in technology, diversity is always a challenge.

0:36:07.640 --> 0:36:11.440
<v Speaker 14>So about twenty percent of our founders are women, and

0:36:11.480 --> 0:36:14.440
<v Speaker 14>we know the technology industry does struggle with gender diversity

0:36:14.440 --> 0:36:16.800
<v Speaker 14>in particular, and it's something that we've been very intentional

0:36:16.840 --> 0:36:19.600
<v Speaker 14>about ever since the beginning of founding Entrepreneur First. We

0:36:19.640 --> 0:36:22.840
<v Speaker 14>actually built an organization alongside EF called Code First Girls,

0:36:23.040 --> 0:36:26.920
<v Speaker 14>which teaches women to code for free across Europe, and

0:36:26.960 --> 0:36:29.880
<v Speaker 14>that has been an important driver to help shift the

0:36:29.960 --> 0:36:33.919
<v Speaker 14>narrative around diversity within technology, but also to actually change

0:36:33.960 --> 0:36:36.200
<v Speaker 14>the numbers of women that we see founding companies. So

0:36:36.239 --> 0:36:38.640
<v Speaker 14>it is something we see that we take very seriously.

0:36:38.800 --> 0:36:40.960
<v Speaker 14>We have some amazing female founders in this cohort that

0:36:41.000 --> 0:36:43.080
<v Speaker 14>we're very excited by spending.

0:36:43.400 --> 0:36:44.960
<v Speaker 6>Good luck with the launch. We thank you so much.

0:36:45.000 --> 0:36:46.680
<v Speaker 6>Co founder and CEO of Entrepreneur.

0:36:46.840 --> 0:36:56.440
<v Speaker 7>First, let's stig into general to AI a little bit more.

0:36:56.480 --> 0:36:58.880
<v Speaker 7>Now we're going to be talking with Cerebras Systems. It's

0:36:58.880 --> 0:37:02.799
<v Speaker 7>announcing it's third generation wafer scale chip. Basically the way

0:37:02.840 --> 0:37:05.120
<v Speaker 7>in which we're seeing the infrastructure being supplied to the

0:37:05.160 --> 0:37:07.960
<v Speaker 7>training of data for generative AI, but also a new

0:37:07.960 --> 0:37:11.480
<v Speaker 7>AI supercomputer digging into all of it. Andrew Feldman, co

0:37:11.560 --> 0:37:14.640
<v Speaker 7>founder CEO of Cerebras, and just tell us with this

0:37:14.760 --> 0:37:19.480
<v Speaker 7>new third generation, what would people see feel trained differently?

0:37:21.160 --> 0:37:23.839
<v Speaker 15>Thank you so much for having me again, very much

0:37:23.880 --> 0:37:28.880
<v Speaker 15>appreciate it. In a new generation, one hopes to be

0:37:28.960 --> 0:37:30.920
<v Speaker 15>able to do the same work in half the time,

0:37:31.560 --> 0:37:33.920
<v Speaker 15>right and to pay the same price.

0:37:34.120 --> 0:37:35.640
<v Speaker 2>And that's what we were able to achieve.

0:37:36.320 --> 0:37:36.680
<v Speaker 6>And so.

0:37:38.160 --> 0:37:42.640
<v Speaker 15>This is a four trillion transistor chip. This is the

0:37:42.719 --> 0:37:45.440
<v Speaker 15>largest chip ever made in the history of the compute industry,

0:37:45.960 --> 0:37:50.600
<v Speaker 15>and it's optimized for the training of AI work, a

0:37:50.640 --> 0:37:54.279
<v Speaker 15>big generative AI and it slashes the amount of time

0:37:54.320 --> 0:37:57.200
<v Speaker 15>it takes to complete one of these projects in half.

0:37:57.719 --> 0:38:00.560
<v Speaker 2>And so this is a huge st forward.

0:38:00.600 --> 0:38:06.080
<v Speaker 15>It cuts the cost per unit compute in half and

0:38:06.719 --> 0:38:09.759
<v Speaker 15>is the foundation of a new supercomputer we're building. And

0:38:09.840 --> 0:38:12.920
<v Speaker 15>so it's a big, big lead both for us and

0:38:12.960 --> 0:38:13.640
<v Speaker 15>for the industry.

0:38:14.440 --> 0:38:16.360
<v Speaker 7>We can see from the art behind you almost the

0:38:16.440 --> 0:38:19.040
<v Speaker 7>architecture is within and throughout you.

0:38:19.360 --> 0:38:22.239
<v Speaker 6>I'm interested in the ultimately what does this mean? Like

0:38:22.280 --> 0:38:23.920
<v Speaker 6>what when you talk.

0:38:23.800 --> 0:38:26.640
<v Speaker 7>To us For the audience who don't exactly know how

0:38:27.000 --> 0:38:30.920
<v Speaker 7>the biggest chip in the world is made, what technology

0:38:30.960 --> 0:38:31.600
<v Speaker 7>goes into that?

0:38:33.280 --> 0:38:35.640
<v Speaker 15>Well, the art behind us actually is the chip and

0:38:35.920 --> 0:38:38.720
<v Speaker 15>that was really cool. One of our engineers got fired

0:38:38.800 --> 0:38:42.759
<v Speaker 15>up on a on a project. A chip of the

0:38:42.840 --> 0:38:52.440
<v Speaker 15>size takes years of development. It involves a thinking of

0:38:52.719 --> 0:38:57.400
<v Speaker 15>how you're going to do the math underneath artificial intelligence.

0:38:57.520 --> 0:39:01.919
<v Speaker 2>And what it means for your every day user is.

0:39:04.239 --> 0:39:08.600
<v Speaker 15>That their their mapping software UH that uses AI is

0:39:08.640 --> 0:39:12.600
<v Speaker 15>more efficient, that their recommendation engines that select or recommend

0:39:12.640 --> 0:39:16.759
<v Speaker 15>things for them in UH, in their shopping or on

0:39:16.920 --> 0:39:22.040
<v Speaker 15>Netflix is even better. It means that they're the generative

0:39:22.080 --> 0:39:25.720
<v Speaker 15>AI models. They play with, whether it's uh chat, GPT

0:39:26.280 --> 0:39:31.200
<v Speaker 15>or others. These are less expensive, These are more powerful.

0:39:31.320 --> 0:39:36.480
<v Speaker 15>These have bigger impact at work, not just at play.

0:39:37.080 --> 0:39:41.360
<v Speaker 15>And so I think as you build faster compute, the

0:39:41.360 --> 0:39:46.399
<v Speaker 15>the AI infrastructure enables the what everybody cares about, which

0:39:46.440 --> 0:39:51.040
<v Speaker 15>is the AI to permeate through UH the economy, through

0:39:51.080 --> 0:39:52.720
<v Speaker 15>the way we live, work and play.

0:39:53.440 --> 0:39:56.200
<v Speaker 7>Well. It's a big announcement, a notable one ahead of

0:39:56.560 --> 0:39:59.719
<v Speaker 7>in videos, big event next week, and we thank you

0:39:59.719 --> 0:40:01.960
<v Speaker 7>so much Andrew Feldman, who's a key player in the

0:40:02.000 --> 0:40:04.799
<v Speaker 7>infrastructure of AI co found or CEO Cerebras.

0:40:05.080 --> 0:40:05.920
<v Speaker 6>Meanwhile, that does.

0:40:05.800 --> 0:40:07.719
<v Speaker 7>It for this edition of Bloomberg Technology. You do not

0:40:07.719 --> 0:40:09.879
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