WEBVTT - Tech Rally and Tech Layoffs

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<v Speaker 1>From Mahard where Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>And Caroline Heind of Bloomberg's world headquarters in New York,

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<v Speaker 3>and I'm Ed Ludlow in San Francisco.

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<v Speaker 4>This is Bloomberg Technology coming up Apple.

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<v Speaker 5>It hits an intra day record.

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<v Speaker 3>The SMP closes in on its all time highs after

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<v Speaker 3>a dovish FED signal. What does it mean for the

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<v Speaker 3>tech rally?

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<v Speaker 6>We discussed plus as GM's cruise slashes twenty four percent

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<v Speaker 6>of its workforce. We'll talk the state of the tech

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<v Speaker 6>labor market as more than two hundred and fifty thousand

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<v Speaker 6>workers at tech companies of all sizes have been let

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<v Speaker 6>go this year.

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<v Speaker 3>Meanwhile, Adobe facing regulatory scrutiny and for the company subscription practices,

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<v Speaker 3>we'll take a look at the FTC investigation and why

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<v Speaker 3>the company AI ambissions well may take longer than expected.

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<v Speaker 6>The other big mover this morning is Intel. It has

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<v Speaker 6>given us details on its AI strategy. The stock up

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<v Speaker 6>three percent or two and a half percent now it

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<v Speaker 6>had been up as much as five and a half percent.

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<v Speaker 6>You have new zeon server chips. Those chips have been

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<v Speaker 6>through two redesigns in the last year already. You also

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<v Speaker 6>have details around Goudi three, the AI accelerator. This is

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<v Speaker 6>the GPU CPU hybrid that basically is going to take

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<v Speaker 6>on in video's h one hundred. And you have Intel

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<v Speaker 6>with this fighting talk saying that Galdi three is going

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<v Speaker 6>to be as good, if not better than in videos

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<v Speaker 6>H one hundred, but it's nowhere to be seen yet,

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<v Speaker 6>doesn't come out until twenty twenty four, Caroline. But the

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<v Speaker 6>battleground for AI we were at AMD last week is

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<v Speaker 6>heating up now.

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<v Speaker 3>It really feels this end of the year as just

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<v Speaker 3>a florry to get as much of the innovation out

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<v Speaker 3>the door as they possibly can, to steal some of

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<v Speaker 3>the market share. The overall hype that there's been around AI,

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<v Speaker 3>and as you say, some fighting talk coming from Pat Gelsinger,

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<v Speaker 3>and they're like the Galdi three has the most approved,

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<v Speaker 3>But ultimately how much of a win do you think

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<v Speaker 3>is the fact that they'll be more efficient with some

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<v Speaker 3>of these chips going to the data centers.

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<v Speaker 6>What's interesting in Intel's case is that they basically are

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<v Speaker 6>saying the market's going to be so big there'll be

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<v Speaker 6>something for everyone. Arsn Vidia and AMD, but they're also

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<v Speaker 6>focusing on PCs. Remember that's their bread and butter. They're

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<v Speaker 6>the biggest PC processor maker. And we're increasingly talking about

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<v Speaker 6>on device right, the idea that the processing power of

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<v Speaker 6>our laptops and our phones needs to be able to

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<v Speaker 6>handle the inference side of a generative AI product. It

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<v Speaker 6>needs to have the compute to perform whether it's in

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<v Speaker 6>aeroplane mode or not. And that seems to be a

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<v Speaker 6>part of what Intel's discussing today.

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<v Speaker 3>And I think you're so right to say this is

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<v Speaker 3>about the rest of the ecosystem of chips. We keep

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<v Speaker 3>talking about H one hundreds and keep sort of talking

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<v Speaker 3>about the Gowdy threes, but there's an awful lot of

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<v Speaker 3>infrastructure play, an awful lot of other ultimately picks and shovers,

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<v Speaker 3>bolts and chips that need to go into all of

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<v Speaker 3>this to ensure that the AI becomes reality. Let's dig

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<v Speaker 3>into that a little bit more with our next guest,

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<v Speaker 3>ed Silvia Geblonski Ceocio Defiance ETS, who you know has

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<v Speaker 3>been coming off what is an extraordinary day in terms

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<v Speaker 3>of macro policy, and I'm interested if you can put

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<v Speaker 3>that onto the micro of whether or not technology and

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<v Speaker 3>the AI HiPE was still something to buy into at

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<v Speaker 3>these points.

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<v Speaker 2>Absolutely, So you know, I think yesterday felt like Santa

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<v Speaker 2>Claus came to town a little bit.

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<v Speaker 7>Right.

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<v Speaker 2>The market's like the outlook for next year, we're finally

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<v Speaker 2>done with ray hikes. I think, you know, we'll have

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<v Speaker 2>some restrictive policy, but at least no more kind of

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<v Speaker 2>like pounding on the gas to hike rates and you know,

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<v Speaker 2>kind of break the economy. So I think that sets

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<v Speaker 2>tech up very well. And I do think that the

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<v Speaker 2>next five to ten years of technology are going to

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<v Speaker 2>be super computing, quantum computing, and AI. And we've talked

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<v Speaker 2>so much this year about Navidia. You and I have

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<v Speaker 2>talked so much about Navidia and a MD this year,

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<v Speaker 2>and I think they're kind of the clear leaders and chips.

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<v Speaker 2>But what I think will happen next year is now

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<v Speaker 2>all of the floodgates will open, So Intel's going to

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<v Speaker 2>come in, companies like ion cbe like IBM, and you know,

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<v Speaker 2>the bigger components around AI, like data processing, super computing

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<v Speaker 2>five G for the speed to make AI work will

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<v Speaker 2>all become tradable. Themes and you're going to start getting,

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<v Speaker 2>you know, beyond the magnific magnificent.

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<v Speaker 5>Seven for AI place.

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<v Speaker 3>What's interesting though, is how much the exuberance becomes real

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<v Speaker 3>revenue now.

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<v Speaker 5>And Vidia has managed to prove.

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<v Speaker 3>That point to certain extent, but I think of Adobe,

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<v Speaker 3>We're going to dig into that story later in the show.

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<v Speaker 3>But ultimately it's earnings not living up to the hype

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<v Speaker 3>in terms of how quickly it can turn it into

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<v Speaker 3>revenue into the bottom line. How much can an IBM,

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<v Speaker 3>how much can quantum computing finally becomes the sort of

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<v Speaker 3>revenue driver.

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<v Speaker 5>Yeah, and that's a great point.

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<v Speaker 2>And I think what happened a little bit with AI

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<v Speaker 2>is that AI has been around for such a long time,

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<v Speaker 2>and there was a news flash around Microsoft this year

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<v Speaker 2>and then AI became kind of the word of the year.

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<v Speaker 2>But then it started to feel like a bubble and

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<v Speaker 2>people started to equate it to you know, memestock media

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<v Speaker 2>and you know, kind of kind of that world that happened,

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<v Speaker 2>and then it was kind of like thrown to the

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<v Speaker 2>side a little bit. But now it's back because to

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<v Speaker 2>your point, they're starting to show revenues. So I do

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<v Speaker 2>think that everyone who's sort of hitched the word AI

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<v Speaker 2>onto their wagon, is now going to have to prove

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<v Speaker 2>it in you know, Q one, Q two, probably actually

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<v Speaker 2>Q four as well earning. So I do think that

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<v Speaker 2>you're going to start that play out, and it is

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<v Speaker 2>super important for companies like IBM. So IBM is a

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<v Speaker 2>company that has a formed you know, quantum computer, and

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<v Speaker 2>they're actually working with companies like Cleveland Clinic to have

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<v Speaker 2>better outcomes and drug trials and things like this. So

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<v Speaker 2>quantum computing is now actually becoming more of a.

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<v Speaker 5>Reality and it exists.

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<v Speaker 2>Granted, you need a whole room the size of this

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<v Speaker 2>and a lot of air conditioners torovite it for a

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<v Speaker 2>process now, but it's there, right, So five to ten

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<v Speaker 2>years from now, you know, Sky's limit.

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<v Speaker 6>Taking a look at the defiance quantum etf TICKA, qt M,

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<v Speaker 6>with which of course you are familiar, it's yours and

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<v Speaker 6>all of the names you've just mentioned are in there.

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<v Speaker 6>What I find so interesting is how long does this

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<v Speaker 6>keep going?

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<v Speaker 4>Right?

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<v Speaker 6>You look at the performance year today up almost forty percent.

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<v Speaker 6>You have Lisa Sewer of AMD saying that the market

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<v Speaker 6>she saw as being one hundred and fifty billion dollars

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<v Speaker 6>just in August is actually going to be four hundred

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<v Speaker 6>billion in twenty twenty seven.

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<v Speaker 4>How do you keep this going? It's been ridiculous.

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<v Speaker 5>Yeah, that's a great point.

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<v Speaker 2>And I think what's interesting about you know, the CTF

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<v Speaker 2>and you know, some of the names I mentioned is IBM,

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<v Speaker 2>I ONQ, you know, Arabella. Some of the smaller types

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<v Speaker 2>of companies in this index are not companies that we're

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<v Speaker 2>talking about right now. We're talking about Microsoft. We're talking

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<v Speaker 2>about Google, Navidia, A m D, maybe a little bit

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<v Speaker 2>of other names in there. But what's going to happen

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<v Speaker 2>is that you have a whole lot of small cap

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<v Speaker 2>names in there. So you know, why aren't we up

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<v Speaker 2>two hundred percent? Where you're getting the performance of the

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<v Speaker 2>large caps, the small caps because of rates and you know,

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<v Speaker 2>kind of new to the scene types of conditions are

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<v Speaker 2>going to probably start to rally and pick up performance.

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<v Speaker 2>So I do think that this is going to ride

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<v Speaker 2>out as those smaller companies start to you know, generate

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<v Speaker 2>revenues and then are kind of cushioned by the Google

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<v Speaker 2>and the Microsoft might end up returning five to ten

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<v Speaker 2>percent next year and not you know, triple digit for

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<v Speaker 2>Navidias and things like that. So I think having that

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<v Speaker 2>well balanced mix of names you're not thinking about gives

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<v Speaker 2>it room to run Sylvie.

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<v Speaker 6>In the context of yesterday's FED meeting, the ECO data

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<v Speaker 6>we've had of late, how isolated is what's happening in

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<v Speaker 6>the AI industry for want of a better descriptor, from

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<v Speaker 6>what's actually happening in the global economy.

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<v Speaker 5>Yeah, So I.

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<v Speaker 2>Think I think that, you know, the AI industry is

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<v Speaker 2>kind of almost being you know, pigeonholed again into some

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<v Speaker 2>of the Magnificent seven and a couple of specific you know,

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<v Speaker 2>themes that are very sort of just like straight technology

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<v Speaker 2>focused AI data processing things like that, but we don't

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<v Speaker 2>really talk about, you know, the macro impact and how

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<v Speaker 2>you know that will play into what's going on. So,

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<v Speaker 2>you know, first, the government is going to increase AI

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<v Speaker 2>spending by you know, billions of dollars next year, so

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<v Speaker 2>there's going to be sort of money going into AI, supercomputing,

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<v Speaker 2>artificial intelligence. The growth of AI is creating this need

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<v Speaker 2>for cloud and cybersecurity, so that's going to increase in

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<v Speaker 2>you know, kind of macro business spending and things like this.

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<v Speaker 2>And then I think just overall, you're finally going to

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<v Speaker 2>start talking about how AI impacts different sectors, you know,

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<v Speaker 2>healthcare for example, are we getting those better kind of

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<v Speaker 2>like drug outcomes, surgical proceeds, your outcomes, things like this.

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<v Speaker 2>So I think the story is going to change more

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<v Speaker 2>about how is AI making companies more efficient? And that

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<v Speaker 2>started a little bit with digitalization of factories for missing workers,

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<v Speaker 2>but I think that'll really continue to play out.

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<v Speaker 3>I'm interested in well Ed says, maybe the rally's been

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<v Speaker 3>ridiculous when it comes to AI. Some might have said

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<v Speaker 3>that crypto is starting to look a bit ridiculous again,

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<v Speaker 3>but it's managed to top out about shot forty five thousand.

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<v Speaker 5>There has been a rule in twenty twenty three? Will

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<v Speaker 5>that continue? Is that all about Matt Crow? Is there

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<v Speaker 5>anything it is in classic that you like that? Yeah?

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<v Speaker 2>So I think that there's a little more room to

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<v Speaker 2>run in crypto. And that's because I suspect I can't

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<v Speaker 2>predict the future. If I suspect that these approvals that

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<v Speaker 2>we've kind of longer waited for are probably going to

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<v Speaker 2>play out, and then you know, so you're just going

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<v Speaker 2>to have kind of a shift of assets and you know,

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<v Speaker 2>in some regard and new products are going to have

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<v Speaker 2>to buy more bitcoin to create themselves, so you know,

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<v Speaker 2>you'll really have that demand need. But then once that

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<v Speaker 2>comes out, now all of a sudden, these products become

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<v Speaker 2>more institutionalized, easier to trade, you get better spreads, you

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<v Speaker 2>don't have to worry about kind of futures, rolling contangle

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<v Speaker 2>or managing digital wallets. And then I think the efficiency

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<v Speaker 2>of all that starts to play out more. So, you know,

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<v Speaker 2>do I think it's going to double or triple? I

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<v Speaker 2>don't know, but I do think that there's some solid

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<v Speaker 2>runway left, particularly around that once we get that stamp

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<v Speaker 2>like this is approved, I think, you know, I think

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<v Speaker 2>bitcoin's going.

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<v Speaker 3>To run all lies on that spot Bitcoin ETF. Sylvia Jamansky,

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<v Speaker 3>who knows a thing or two about ets, she just

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<v Speaker 3>of course the defiance ETF.

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<v Speaker 5>And we thank you so much for being in the studio.

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<v Speaker 6>Ed all right. Coming up on the program, twenty twenty

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<v Speaker 6>three was a brutal year for tech workers. We're going

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<v Speaker 6>to be joined by the creator of the tech Layoffs

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<v Speaker 6>Tracker Layoffs dot FYI.

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<v Speaker 4>That's coming up next.

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<v Speaker 3>Let's talk layoffs. Because Cruise, the autonomous vehicle unit of

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<v Speaker 3>General Motors, will lay off twenty four percent of its workforce.

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<v Speaker 3>Around nine hundred people, it'scording to a blog post by

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<v Speaker 3>the company. These layoffs come just one day after Cruise

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<v Speaker 3>also just missed nine of its top executives. Now, the

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<v Speaker 3>company has been trying to cut its costs in an

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<v Speaker 3>effort to revamp the company after, of course, that crucial

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<v Speaker 3>accident in which a Cruise card dragged a pedestrian in

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<v Speaker 3>October ed.

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<v Speaker 6>Yeah, it's been a big story here in this city

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<v Speaker 6>and for that company and Cruises. Layoffs are just the

0:10:21.400 --> 0:10:25.800
<v Speaker 6>latest occurrence piling onto this year's wave of layoffs.

0:10:25.280 --> 0:10:26.200
<v Speaker 4>In the tech sector.

0:10:26.400 --> 0:10:29.239
<v Speaker 6>In total, more than two hundred and fifty thousand workers

0:10:29.480 --> 0:10:32.280
<v Speaker 6>at tech companies big and small have been let go

0:10:32.440 --> 0:10:33.360
<v Speaker 6>in twenty twenty three.

0:10:33.440 --> 0:10:34.160
<v Speaker 4>That's according to.

0:10:34.160 --> 0:10:37.920
<v Speaker 6>The job tracker Layoffs dot FYI. Let's bring in the

0:10:38.000 --> 0:10:41.920
<v Speaker 6>job trackers creator Roger Lee to dig into that data.

0:10:42.040 --> 0:10:44.360
<v Speaker 6>I think a good starting point is to ask, well,

0:10:44.360 --> 0:10:47.600
<v Speaker 6>two hundred and fifty thousand, what does that look like

0:10:47.720 --> 0:10:51.679
<v Speaker 6>relative to prior years, prior periods of recession, prior periods

0:10:51.720 --> 0:10:53.559
<v Speaker 6>of economic pain.

0:10:55.320 --> 0:10:58.960
<v Speaker 7>Well, the number is very high, even compared to last

0:10:59.000 --> 0:11:01.800
<v Speaker 7>year when we first started seeing a wave of tech layoffs.

0:11:02.080 --> 0:11:04.959
<v Speaker 7>Twenty twenty three is the highest number that we've seen today.

0:11:05.160 --> 0:11:08.320
<v Speaker 7>So two hundred fifty thousand tech employees have been laid

0:11:08.320 --> 0:11:11.400
<v Speaker 7>off so far this year. That's up from one hundred

0:11:11.400 --> 0:11:15.720
<v Speaker 7>and sixty five and twenty twenty two. And even in

0:11:15.800 --> 0:11:18.760
<v Speaker 7>twenty twenty, when we saw a wave of pandemic related

0:11:18.800 --> 0:11:22.120
<v Speaker 7>tech layoffs, that number was only about eighty thousand. So

0:11:22.280 --> 0:11:25.600
<v Speaker 7>this year has been the worst time in the past

0:11:25.640 --> 0:11:26.520
<v Speaker 7>few years.

0:11:27.320 --> 0:11:31.959
<v Speaker 6>What if anything to the companies that have done layoffs

0:11:32.000 --> 0:11:35.280
<v Speaker 6>and cuts got in common, be it their reasons for

0:11:35.360 --> 0:11:39.120
<v Speaker 6>doing so or their reaction into something.

0:11:41.000 --> 0:11:44.240
<v Speaker 7>Well, the biggest reason for these tech layoffs has been

0:11:44.840 --> 0:11:48.120
<v Speaker 7>an over correction of the over hiring that they did

0:11:48.200 --> 0:11:51.319
<v Speaker 7>during the pandemic search. You know, back in twenty twenty

0:11:51.320 --> 0:11:53.800
<v Speaker 7>to twenty twenty one, we were in a very low

0:11:53.840 --> 0:11:58.000
<v Speaker 7>industrate environment. Tech companies were booming in demand from people

0:11:58.040 --> 0:12:01.560
<v Speaker 7>staying at home and turning to tech services more and more,

0:12:02.000 --> 0:12:03.880
<v Speaker 7>and so these companies are able to go on a

0:12:03.920 --> 0:12:07.080
<v Speaker 7>hiring spree and they invested aggressively in initiatives that were

0:12:07.080 --> 0:12:09.640
<v Speaker 7>respeculative or wouldn't payoff for several years.

0:12:10.320 --> 0:12:12.480
<v Speaker 4>Now, of course, the climate is entally different.

0:12:12.520 --> 0:12:16.240
<v Speaker 7>We're in a period of interest rate hikes, and so

0:12:16.280 --> 0:12:19.400
<v Speaker 7>that's causing these same companies now cut back and correct

0:12:19.480 --> 0:12:21.040
<v Speaker 7>for that over hiring from before.

0:12:21.600 --> 0:12:24.080
<v Speaker 5>Okay, so now we're in talk of cups. So does

0:12:24.120 --> 0:12:25.000
<v Speaker 5>twenty twenty.

0:12:24.720 --> 0:12:28.360
<v Speaker 3>Four mean we rectify that we see more exuberant, more

0:12:28.440 --> 0:12:32.360
<v Speaker 3>hiring or is it actually slower and more specific.

0:12:31.960 --> 0:12:33.680
<v Speaker 5>Like, yes, we'll hire, but only in AI.

0:12:35.240 --> 0:12:38.839
<v Speaker 7>Yeah. Well, you know, after seeing actually some declines and

0:12:38.920 --> 0:12:41.720
<v Speaker 7>layoffs over the course of this year, the past two

0:12:41.760 --> 0:12:46.120
<v Speaker 7>months have marked an uptick in the tech layoffs and

0:12:46.720 --> 0:12:49.600
<v Speaker 7>I do expect that to carry over to early next

0:12:49.720 --> 0:12:52.240
<v Speaker 7>year because the year end is a natural time that

0:12:52.559 --> 0:12:55.200
<v Speaker 7>connoct a layoff as a coin science and annual budgeting.

0:12:55.320 --> 0:12:58.840
<v Speaker 7>So as companies in tech are taking stock of their

0:12:59.160 --> 0:13:02.280
<v Speaker 7>full year perform and are looking ahead to twenty twenty four,

0:13:02.679 --> 0:13:05.960
<v Speaker 7>they're finding our job cuts aren't necessary to improve profitability.

0:13:06.520 --> 0:13:08.160
<v Speaker 4>So I do expect.

0:13:07.800 --> 0:13:11.040
<v Speaker 7>That this remains slow for the next few months, although

0:13:11.360 --> 0:13:14.080
<v Speaker 7>as we look ahead to the rest of twenty twenty four,

0:13:15.280 --> 0:13:19.120
<v Speaker 7>hopefully if interest rates do come down as is expected,

0:13:19.480 --> 0:13:21.520
<v Speaker 7>that would mean that the tech where they are will

0:13:21.559 --> 0:13:23.199
<v Speaker 7>finally subside Roger.

0:13:23.240 --> 0:13:26.160
<v Speaker 3>It's interesting, isn't it that much of the so called

0:13:26.160 --> 0:13:28.800
<v Speaker 3>silver lining when everyone was really talking about the big

0:13:28.880 --> 0:13:31.480
<v Speaker 3>cuts that were being executed. At the beginning of the year,

0:13:31.520 --> 0:13:33.680
<v Speaker 3>everyone was like, well, more startups will be formed, while

0:13:33.679 --> 0:13:35.880
<v Speaker 3>people will leave. They've got some cash in the bank

0:13:35.880 --> 0:13:37.960
<v Speaker 3>that we be able to start up some other companies.

0:13:38.360 --> 0:13:41.560
<v Speaker 3>Now it feels also that we're talking of well, technology

0:13:41.559 --> 0:13:44.520
<v Speaker 3>being necessary everywhere, particularly in the field of AI, and

0:13:44.559 --> 0:13:48.000
<v Speaker 3>people going into banking sectors, going into different industry groups

0:13:48.000 --> 0:13:49.640
<v Speaker 3>that need that sort of technology retail.

0:13:49.679 --> 0:13:51.480
<v Speaker 5>I mean there is an industry that it doesn't affect.

0:13:51.720 --> 0:13:53.200
<v Speaker 5>Are people leaving tech more broadly?

0:13:54.880 --> 0:13:58.480
<v Speaker 7>Yeah, you know, the rate of startupformation is affected because

0:13:59.120 --> 0:14:02.520
<v Speaker 7>fundraising is so hard to come by. We're in an era

0:14:02.640 --> 0:14:05.280
<v Speaker 7>now where the cost of capital is much higher than

0:14:05.360 --> 0:14:08.120
<v Speaker 7>in years past, and so startups are finding it harder

0:14:08.160 --> 0:14:12.040
<v Speaker 7>to raise money compared to before. And that does make

0:14:12.080 --> 0:14:15.280
<v Speaker 7>it harder for these late off tech employees to stay

0:14:15.320 --> 0:14:17.960
<v Speaker 7>in tech or to go start their own company.

0:14:18.559 --> 0:14:19.800
<v Speaker 4>And so you are finding that.

0:14:19.680 --> 0:14:23.520
<v Speaker 7>More and more folks are going to other industries either,

0:14:23.640 --> 0:14:25.840
<v Speaker 7>you know, folks on the business side, like sales people

0:14:25.880 --> 0:14:29.080
<v Speaker 7>recruiters are leaving tech entirely because they can find better

0:14:29.160 --> 0:14:32.480
<v Speaker 7>roles in other industries. Since the tech downtern has not

0:14:32.600 --> 0:14:35.920
<v Speaker 7>broadly affected what's going on in the rest of the

0:14:35.960 --> 0:14:40.680
<v Speaker 7>economy where unemployment is still very, very favorable. And then

0:14:40.720 --> 0:14:44.080
<v Speaker 7>even engineers are also looking at other options too outside

0:14:44.080 --> 0:14:47.200
<v Speaker 7>of tech because of the reasons you said, tech is everywhere,

0:14:47.400 --> 0:14:51.720
<v Speaker 7>and they industry now has a need to invest in technology.

0:14:52.440 --> 0:14:56.120
<v Speaker 6>Yeah, Roger, I found it fascinating that the principal driver

0:14:56.360 --> 0:14:59.360
<v Speaker 6>is undoing the over exuberance of hiring from the pandemic

0:14:59.360 --> 0:15:02.600
<v Speaker 6>period about Caroline, But I just had this weird deja

0:15:02.680 --> 0:15:04.640
<v Speaker 6>vu because I felt like we told that story a

0:15:04.720 --> 0:15:05.200
<v Speaker 6>year ago.

0:15:05.520 --> 0:15:06.680
<v Speaker 4>Yeah, so why are these.

0:15:06.560 --> 0:15:10.040
<v Speaker 6>Companies doing cuts twelve months later on the same rationale.

0:15:10.080 --> 0:15:11.320
<v Speaker 4>Anyway, I just thought that was interesting.

0:15:11.360 --> 0:15:14.160
<v Speaker 3>Yeah, and the pendulum and we hope doesn't swing completely

0:15:14.200 --> 0:15:16.400
<v Speaker 3>the other direction once more. Roger, lee'fraid we have to

0:15:16.480 --> 0:15:18.200
<v Speaker 3>leave it there, but thank you so much. Creator of

0:15:18.320 --> 0:15:23.040
<v Speaker 3>layoffs dot f Yi. French billionaire Vizant Belori, Well, he's

0:15:23.040 --> 0:15:26.240
<v Speaker 3>considering a split of the media and entertainment empire he

0:15:26.240 --> 0:15:29.360
<v Speaker 3>effectively controls Blue Meg. Sources say the breakup would allow

0:15:29.400 --> 0:15:32.040
<v Speaker 3>for the venue to split into several companies in order

0:15:32.080 --> 0:15:34.320
<v Speaker 3>to better take advantage of each unit's strength.

0:15:34.880 --> 0:15:37.080
<v Speaker 5>Cheers. They've been searching on the hills of that report.

0:15:37.200 --> 0:15:41.800
<v Speaker 6>Edd Let's continue that story with Bloomberg's Benoir Bertilo out

0:15:41.840 --> 0:15:44.160
<v Speaker 6>in Paris. Go out to Paris with our correspondent who

0:15:44.160 --> 0:15:46.920
<v Speaker 6>in the last two hours has broken even more news

0:15:46.960 --> 0:15:50.880
<v Speaker 6>on the Vendi. Let's start with the basic premise of

0:15:50.880 --> 0:15:52.760
<v Speaker 6>what Vincen Belaure is doing here.

0:15:53.360 --> 0:15:59.720
<v Speaker 8>Yeah, a very unexpected move. Really announced late yes of

0:15:59.760 --> 0:16:03.200
<v Speaker 8>the that it would break up or explore the breaking

0:16:03.320 --> 0:16:07.320
<v Speaker 8>up of his company in three different units. That would

0:16:07.360 --> 0:16:10.560
<v Speaker 8>be one unit for PATV is building a sort of

0:16:10.720 --> 0:16:16.240
<v Speaker 8>Netflix like streaming service out of PATV operators across Europe,

0:16:16.320 --> 0:16:19.640
<v Speaker 8>so that's can help. Plus another unit would be the

0:16:19.680 --> 0:16:24.320
<v Speaker 8>ad group Avers. It's a good ad group valued between

0:16:24.360 --> 0:16:27.640
<v Speaker 8>two billion and three billion euros by investors, but it's

0:16:27.720 --> 0:16:32.040
<v Speaker 8>much smaller than Peers publicis WPP on income, So that

0:16:32.080 --> 0:16:35.920
<v Speaker 8>would be a stand alone company as well, both listed company,

0:16:36.200 --> 0:16:39.440
<v Speaker 8>and that would be a third company, an investment company

0:16:39.520 --> 0:16:43.640
<v Speaker 8>holding the shares of various groups that the Boloy and

0:16:43.720 --> 0:16:48.160
<v Speaker 8>Vivandi group has, including La Gardeer, which is a publishing

0:16:48.280 --> 0:16:53.480
<v Speaker 8>giant encompassing the third book publisher in the world, which

0:16:53.560 --> 0:16:58.160
<v Speaker 8>is Ashet. It also has travel retail operations, so a

0:16:58.200 --> 0:17:01.680
<v Speaker 8>complete split of the group he tried to build for

0:17:01.720 --> 0:17:04.880
<v Speaker 8>the past decade would be explored now.

0:17:05.560 --> 0:17:06.760
<v Speaker 5>I mean volsobroken news.

0:17:06.800 --> 0:17:09.199
<v Speaker 3>So maybe he thinks about selling a steak in the

0:17:09.240 --> 0:17:13.320
<v Speaker 3>former poem Monopolia Italy Telecometalia. It's also fascinating and paint

0:17:13.320 --> 0:17:15.560
<v Speaker 3>a picture of Beloray for us, because what's so interesting

0:17:15.560 --> 0:17:20.280
<v Speaker 3>in your story is basically on the Puifontein. The CEO

0:17:20.520 --> 0:17:23.159
<v Speaker 3>of Ivandi almost doesn't get a mention here. This is

0:17:23.200 --> 0:17:26.560
<v Speaker 3>about a lot sort of a Rupot Murdoch figure of France.

0:17:28.880 --> 0:17:33.159
<v Speaker 8>Yeah, we've compared him to report Murdoc in the past,

0:17:33.440 --> 0:17:37.679
<v Speaker 8>is like him a media mogul, is pretty conservative in

0:17:37.760 --> 0:17:42.240
<v Speaker 8>the line of his media outlets. He's seventy one years old.

0:17:42.480 --> 0:17:46.440
<v Speaker 8>Officially he retired last year, so he's not the CEO

0:17:46.880 --> 0:17:49.439
<v Speaker 8>of all chairman of the groups we're talking about, but

0:17:49.600 --> 0:17:52.720
<v Speaker 8>he is said to be really calling the shots for

0:17:53.400 --> 0:17:56.720
<v Speaker 8>any big moves like this, and it's really the writing

0:17:56.800 --> 0:18:00.280
<v Speaker 8>on the walls. Being known as a corporate Rado has

0:18:00.280 --> 0:18:03.560
<v Speaker 8>made a lot of surprising moves with his companies. For

0:18:03.560 --> 0:18:07.920
<v Speaker 8>example the listing of Universal Group two years ago, which

0:18:08.320 --> 0:18:11.600
<v Speaker 8>really is sort of an inspiration for what's happening now.

0:18:11.359 --> 0:18:14.160
<v Speaker 8>So so yeah, is at the age of a try

0:18:14.280 --> 0:18:17.439
<v Speaker 8>of free daring. Clearly he has his two older sons,

0:18:17.840 --> 0:18:24.840
<v Speaker 8>Sel and Yannique, both heads of Boloy and Vivandi. But clearly,

0:18:24.920 --> 0:18:27.879
<v Speaker 8>like it seems, he has a lot of some moves

0:18:28.000 --> 0:18:28.439
<v Speaker 8>still to.

0:18:28.480 --> 0:18:30.240
<v Speaker 4>Make all right.

0:18:30.280 --> 0:18:33.600
<v Speaker 6>Bloomberg's Ben wor Betterlow out in Paris on that story.

0:18:33.840 --> 0:18:35.479
<v Speaker 6>Coming up here on the program, we're gonna have all

0:18:35.520 --> 0:18:40.600
<v Speaker 6>the details on the FTC's probe into Adobe subscription cancelation rules.

0:18:40.880 --> 0:18:43.040
<v Speaker 6>Drives a lot to be mad I see on social media.

0:18:43.080 --> 0:18:45.479
<v Speaker 6>We're gonna be joined by Tech Policy Institute's senior fellow,

0:18:45.880 --> 0:18:49.800
<v Speaker 6>Sarah o'lamb. That's coming up next from San Francisco. This

0:18:50.080 --> 0:19:12.040
<v Speaker 6>is Bloomberg Technology. Welcome back to Bloomberg Technology, Ed Lovelow.

0:19:11.760 --> 0:19:14.000
<v Speaker 5>In San Francisco, and Carolin Hyde right here in New York.

0:19:14.040 --> 0:19:15.600
<v Speaker 3>Let's get a check on these markets because we are

0:19:15.640 --> 0:19:17.639
<v Speaker 3>dictated by macro polls at the moment. We had the

0:19:17.640 --> 0:19:20.880
<v Speaker 3>Federal Reserve yesterday, of course, signaling that rake carts say

0:19:20.880 --> 0:19:22.920
<v Speaker 3>are to come in twenty twenty four. The retail sales

0:19:23.040 --> 0:19:26.040
<v Speaker 3>number also just showing the resilience of this US economy.

0:19:26.080 --> 0:19:27.840
<v Speaker 3>The fact that we saw not only three percent growth

0:19:27.840 --> 0:19:30.600
<v Speaker 3>in retail sales in November rather than a contraction who also

0:19:30.600 --> 0:19:31.120
<v Speaker 3>of course got.

0:19:31.119 --> 0:19:33.800
<v Speaker 5>Jobless claims looking good. This is a strong economy. Do

0:19:33.840 --> 0:19:34.639
<v Speaker 5>we see a rotation?

0:19:34.760 --> 0:19:37.440
<v Speaker 3>Therefore, money is still going into the NASAC, though tentatively,

0:19:37.640 --> 0:19:39.639
<v Speaker 3>and this is the Nawstak one hundred. What's interesting is

0:19:39.680 --> 0:19:42.520
<v Speaker 3>you're getting more love for the well, let's more left

0:19:42.520 --> 0:19:44.399
<v Speaker 3>out in what has been a ramp in twenty twenty

0:19:44.400 --> 0:19:46.439
<v Speaker 3>three the small caps, of course, and let's move on

0:19:46.440 --> 0:19:48.600
<v Speaker 3>and to see what's happening on the individual stock movers

0:19:48.600 --> 0:19:50.600
<v Speaker 3>of choice though at the moment, and Apple did hit

0:19:50.640 --> 0:19:52.600
<v Speaker 3>an intra day high at one point, so there was

0:19:52.600 --> 0:19:54.440
<v Speaker 3>some love some of the big tech and still those

0:19:54.480 --> 0:19:55.719
<v Speaker 3>magnificent seven names.

0:19:55.880 --> 0:19:56.560
<v Speaker 5>Adobe.

0:19:56.840 --> 0:20:00.440
<v Speaker 3>Interesting outline, we're off by almost six percent. Big move

0:20:00.640 --> 0:20:02.280
<v Speaker 3>was Perform and then as that one hundred ed and

0:20:02.320 --> 0:20:03.960
<v Speaker 3>a lot of this to do with numbers that didn't

0:20:04.000 --> 0:20:06.000
<v Speaker 3>live up to expectations in terms of their earnings.

0:20:06.160 --> 0:20:07.160
<v Speaker 5>Still going to see double.

0:20:07.000 --> 0:20:09.159
<v Speaker 3>Digit growth in revenue, but the market wanted to see more,

0:20:09.200 --> 0:20:11.560
<v Speaker 3>particularly in the digital media. But I think also the

0:20:11.600 --> 0:20:14.199
<v Speaker 3>ongoing narrative around the fact that they're getting pushed back

0:20:14.240 --> 0:20:16.960
<v Speaker 3>on the Pigma deal and of course, the FTC the

0:20:17.000 --> 0:20:20.160
<v Speaker 3>fact that they are too difficult to cancel, and that's

0:20:20.160 --> 0:20:21.359
<v Speaker 3>a key story that want to dig in on.

0:20:22.400 --> 0:20:25.800
<v Speaker 6>Yeah, so Adobe has been cooperating with the FTC in

0:20:25.880 --> 0:20:29.720
<v Speaker 6>a civil investigation since twenty twenty two, which looks exactly

0:20:29.760 --> 0:20:34.080
<v Speaker 6>that policies around canceling subscriptions. It's driven many of you mad.

0:20:34.160 --> 0:20:36.880
<v Speaker 6>We know you tell us on social media, but it's

0:20:36.920 --> 0:20:39.760
<v Speaker 6>an interesting disclosure that Adobe had in that filing last night.

0:20:39.840 --> 0:20:43.480
<v Speaker 6>Let's bring in Tech Policy Institute Senior fellow Sarah o'lam

0:20:43.600 --> 0:20:46.600
<v Speaker 6>joining us here on the program. Your reaction to that

0:20:46.760 --> 0:20:51.240
<v Speaker 6>FTC look at Adobe's practices around canceling subscriptions and products

0:20:51.240 --> 0:20:52.159
<v Speaker 6>and services.

0:20:53.040 --> 0:20:55.720
<v Speaker 9>Sure, well, it was news yesterday and Adobe's eight K

0:20:55.960 --> 0:20:59.280
<v Speaker 9>filing that it wasn't really known before that that the

0:20:59.359 --> 0:21:03.280
<v Speaker 9>FTC as an investigative demand before it, and that in

0:21:03.359 --> 0:21:06.240
<v Speaker 9>November twenty twenty three last month, that it would enter

0:21:06.280 --> 0:21:12.639
<v Speaker 9>into negotiations to possibly impose penalties. They're using this authority

0:21:12.680 --> 0:21:16.720
<v Speaker 9>under Section five A Unfair and Deceptive Practices, but also

0:21:16.800 --> 0:21:20.080
<v Speaker 9>the Restore Online Shoppers Confidence Act RASCA.

0:21:20.280 --> 0:21:21.840
<v Speaker 10>It's a statute from twenty ten.

0:21:22.880 --> 0:21:27.280
<v Speaker 9>Folks might be reminded of the use of this law

0:21:27.320 --> 0:21:31.119
<v Speaker 9>as well when FTC sued Amazon earlier this year also

0:21:31.240 --> 0:21:35.800
<v Speaker 9>for prime subscription practices, So this is ongoing. It's also

0:21:35.880 --> 0:21:40.200
<v Speaker 9>related to rulemaking proceding a click to cancel negative option

0:21:40.359 --> 0:21:43.320
<v Speaker 9>rule proceeding from earlier this year as well. So the

0:21:43.359 --> 0:21:48.880
<v Speaker 9>FTC seems to be ramping up its investigations of subscription practices.

0:21:49.080 --> 0:21:52.080
<v Speaker 3>And maybe we shouldn't be surprised President Joe Biden. Of

0:21:52.080 --> 0:21:54.000
<v Speaker 3>course it was back in March. I think really talking

0:21:54.000 --> 0:21:56.840
<v Speaker 3>about the need for the ability to sign on to

0:21:56.840 --> 0:22:00.000
<v Speaker 3>be as easy as the ability to cancel these online subscriptions,

0:22:00.040 --> 0:22:03.200
<v Speaker 3>digital subscriptions, and you know when it costs up to

0:22:03.240 --> 0:22:05.800
<v Speaker 3>seven hundred dollars a year for an Adobe subscription, no

0:22:05.880 --> 0:22:08.199
<v Speaker 3>wonder they want to ensure that it doesn't drag on

0:22:08.320 --> 0:22:11.560
<v Speaker 3>in some way. Do you think the FTC is sort

0:22:11.560 --> 0:22:14.000
<v Speaker 3>of going to get more broad with this? Is it

0:22:14.040 --> 0:22:16.159
<v Speaker 3>always going to be looking for settlements, for example that

0:22:16.680 --> 0:22:19.520
<v Speaker 3>could have significant monetary costs Adobe lines?

0:22:20.840 --> 0:22:24.359
<v Speaker 9>Well, in January, in the new year, it's going to

0:22:24.400 --> 0:22:28.240
<v Speaker 9>have a hearing, a public hearing about this negative option rule,

0:22:28.320 --> 0:22:31.639
<v Speaker 9>which is its way of saying that they want to

0:22:31.680 --> 0:22:34.159
<v Speaker 9>make a rule across all companies that to make it

0:22:34.240 --> 0:22:36.280
<v Speaker 9>easier to cancel the click to cancel.

0:22:37.240 --> 0:22:41.439
<v Speaker 10>So it's an ongoing open proceeding for the FTC.

0:22:42.000 --> 0:22:46.120
<v Speaker 9>What's interesting about yesterday's announcement was that they are sending

0:22:46.160 --> 0:22:50.879
<v Speaker 9>these investigative demands to public companies with outside of the

0:22:50.960 --> 0:22:55.360
<v Speaker 9>rulemaking process, and so I think that might be causing

0:22:55.440 --> 0:23:00.840
<v Speaker 9>some stock market effects that that they're.

0:23:00.560 --> 0:23:02.560
<v Speaker 10>Getting all these investigative demands.

0:23:03.760 --> 0:23:08.280
<v Speaker 9>And what's interesting is, yeah, the Figma acquisition is still

0:23:08.920 --> 0:23:11.400
<v Speaker 9>up in the air. It's still under review at the

0:23:11.480 --> 0:23:15.480
<v Speaker 9>Justice Department. So Adobe has a few things happening with

0:23:15.520 --> 0:23:18.560
<v Speaker 9>the FTC right now and Justice Department.

0:23:18.280 --> 0:23:20.280
<v Speaker 5>And so does some other companies.

0:23:20.440 --> 0:23:22.720
<v Speaker 3>I mean, the FDC has got busy, so have actually

0:23:23.119 --> 0:23:26.159
<v Speaker 3>global regulators towards the end of the year. You're seeing

0:23:26.400 --> 0:23:29.159
<v Speaker 3>what the FTC looking at the nature of Microsoft's investment

0:23:29.200 --> 0:23:31.480
<v Speaker 3>in open Ai. The EU is looking at a similar

0:23:31.760 --> 0:23:33.879
<v Speaker 3>So while the UK indeed is looking at a similar

0:23:33.920 --> 0:23:36.600
<v Speaker 3>sort of relationship between Microsoft and open Ai, we've got

0:23:36.720 --> 0:23:40.080
<v Speaker 3>the EU looking in many a field of regulatory oversight.

0:23:40.160 --> 0:23:44.160
<v Speaker 3>We think of alphabets impact earlier this week, Sarah, our

0:23:44.200 --> 0:23:46.520
<v Speaker 3>regulators just having enough with some of these business models.

0:23:47.960 --> 0:23:50.800
<v Speaker 9>Well, what makes it easy for regulators is that they

0:23:50.840 --> 0:23:55.160
<v Speaker 9>can send a letter an investigative demand pretty costlessly. I mean,

0:23:55.200 --> 0:23:57.760
<v Speaker 9>they prepare it, but they send it, and then the

0:23:57.880 --> 0:24:00.360
<v Speaker 9>companies have to do a lot to respond.

0:24:00.080 --> 0:24:01.480
<v Speaker 10>And beyond noticed.

0:24:01.520 --> 0:24:04.800
<v Speaker 9>And so it depends on your view of how broad

0:24:04.880 --> 0:24:09.280
<v Speaker 9>the FTC's Section five a Unfair and Deceptive Practices authority is,

0:24:09.720 --> 0:24:12.800
<v Speaker 9>if they're going beyond the scope of their authority or

0:24:13.760 --> 0:24:16.720
<v Speaker 9>if they're within the scope of their authority. And so

0:24:17.280 --> 0:24:20.600
<v Speaker 9>that's a really good question right now about this FTC

0:24:20.760 --> 0:24:25.919
<v Speaker 9>in particular, which is a little bit more active than

0:24:26.000 --> 0:24:27.440
<v Speaker 9>prior FTCs.

0:24:27.840 --> 0:24:31.919
<v Speaker 6>Well, I appreciate Caroline's question too, because throughout the cadence

0:24:31.960 --> 0:24:33.959
<v Speaker 6>of this year, I think the only thing we can

0:24:34.000 --> 0:24:36.679
<v Speaker 6>agree on is there's been a lot of antitrust and

0:24:36.720 --> 0:24:40.800
<v Speaker 6>regulatory news when it comes to big tech net net Sarah,

0:24:40.960 --> 0:24:42.920
<v Speaker 6>who came out on top at the end of twenty

0:24:42.920 --> 0:24:46.040
<v Speaker 6>twenty three. The regulators or the technology companies.

0:24:46.880 --> 0:24:50.879
<v Speaker 9>Well, you know, it slows down business, but folks would

0:24:50.880 --> 0:24:53.960
<v Speaker 9>say that maybe it is the job of these government

0:24:54.040 --> 0:24:58.679
<v Speaker 9>regulators to make it harder or to protect consumers. And so,

0:24:59.720 --> 0:25:02.760
<v Speaker 9>you know, you hope that there is that balance of

0:25:02.800 --> 0:25:07.800
<v Speaker 9>being pro consumer and pro investment, especially for American companies,

0:25:07.880 --> 0:25:11.200
<v Speaker 9>which are you making up the most of big tech

0:25:12.320 --> 0:25:16.679
<v Speaker 9>in the markets and in globally, and so hopefully that

0:25:17.040 --> 0:25:18.520
<v Speaker 9>they can strike that balance.

0:25:20.119 --> 0:25:22.480
<v Speaker 6>Some of that is, Kurry pointed out, was in the

0:25:22.480 --> 0:25:24.119
<v Speaker 6>context of M and A, right, you think about like

0:25:24.160 --> 0:25:27.760
<v Speaker 6>Microsoft Activision or maybe now Microsoft's stake and open AI

0:25:28.680 --> 0:25:32.639
<v Speaker 6>in twenty twenty four, what will be the area of

0:25:32.680 --> 0:25:35.760
<v Speaker 6>focus do you think from regulators is they look at

0:25:35.840 --> 0:25:37.040
<v Speaker 6>technology companies?

0:25:38.840 --> 0:25:41.960
<v Speaker 9>Well, I think what's really important for you know, us

0:25:41.960 --> 0:25:46.439
<v Speaker 9>in the policy arena and Congress and the regulators is

0:25:46.480 --> 0:25:52.480
<v Speaker 9>to know that any government involvement slows things down. And

0:25:52.560 --> 0:25:55.879
<v Speaker 9>so there might be you know, good good reasons for

0:25:56.000 --> 0:26:00.080
<v Speaker 9>caution and for policy making, but there's also you know,

0:26:00.160 --> 0:26:05.439
<v Speaker 9>a big important value in letting companies innovate and merge

0:26:05.560 --> 0:26:08.959
<v Speaker 9>and acquire each other and then learn that way see

0:26:09.040 --> 0:26:13.119
<v Speaker 9>what happens in the market. So you know, I would

0:26:13.160 --> 0:26:18.159
<v Speaker 9>recommend the regulators to make sure that we're accelerating growth

0:26:18.160 --> 0:26:19.960
<v Speaker 9>and not slowing it down.

0:26:20.840 --> 0:26:23.200
<v Speaker 3>Well, said Sarah Alamb's great to have you, senior fellow

0:26:23.200 --> 0:26:26.600
<v Speaker 3>at the Technology Policy Institute. Great to have your expertise. Meanwhile,

0:26:26.720 --> 0:26:29.320
<v Speaker 3>let's just stick with it Obie for a moment, because well,

0:26:29.560 --> 0:26:32.000
<v Speaker 3>we know that the shares runner pressure. Also because of

0:26:32.040 --> 0:26:34.520
<v Speaker 3>its warm outlook for sales in twenty twenty four, it

0:26:34.520 --> 0:26:37.479
<v Speaker 3>seemed to signal a potential that the AI boosts, particularly

0:26:37.480 --> 0:26:39.480
<v Speaker 3>when it comes to its product far Fly, It's going

0:26:39.520 --> 0:26:42.040
<v Speaker 3>to take longer than expected to actually boost the bottom line.

0:26:42.080 --> 0:26:44.199
<v Speaker 3>Wall Street still expects Adobie to be one of the

0:26:44.280 --> 0:26:46.040
<v Speaker 3>first software chants to benefit.

0:26:45.680 --> 0:26:48.919
<v Speaker 5>From general to AI. Now that's stick with AI and look.

0:26:48.800 --> 0:26:50.920
<v Speaker 3>At just all the industries that it's going to transform,

0:26:51.000 --> 0:26:54.360
<v Speaker 3>most likely healthcare. I sat down with Best Some Adventures

0:26:54.400 --> 0:26:57.600
<v Speaker 3>partners Steve Kraus just talk about what he's seeing in

0:26:58.040 --> 0:26:58.879
<v Speaker 3>the impact so far.

0:26:58.960 --> 0:26:59.520
<v Speaker 5>Take a listen.

0:27:00.520 --> 0:27:03.840
<v Speaker 11>We at Bessemer have made a really large commitment to AI,

0:27:04.080 --> 0:27:06.040
<v Speaker 11>and I would say that healthcare is actually one of

0:27:06.080 --> 0:27:09.080
<v Speaker 11>the industries where it's going to be most relevant, most impactful.

0:27:09.119 --> 0:27:11.560
<v Speaker 11>And the reason for that is, you know, healthcare is

0:27:11.840 --> 0:27:15.920
<v Speaker 11>the most laborious, inefficient industry in the economy. It's also

0:27:16.160 --> 0:27:18.439
<v Speaker 11>thirty percent of the world's data and so if you

0:27:18.480 --> 0:27:21.840
<v Speaker 11>think about that combination, what is artificial intelligence good at.

0:27:21.920 --> 0:27:25.600
<v Speaker 11>It's good at automating tasks in all parts of our economy,

0:27:25.640 --> 0:27:27.120
<v Speaker 11>but we think in healthcare it's going to be really

0:27:27.160 --> 0:27:32.359
<v Speaker 11>impactful basically everywhere, from how the payment in healthcare is

0:27:32.400 --> 0:27:36.159
<v Speaker 11>administered on the back end, how healthcare is delivered you know,

0:27:36.280 --> 0:27:39.080
<v Speaker 11>by clinicians. In terms of clinical decision support, for instance,

0:27:39.200 --> 0:27:42.280
<v Speaker 11>AI can be very impactful, and then also how drugs

0:27:42.280 --> 0:27:45.080
<v Speaker 11>are designed and delivered to improve human health. And so

0:27:45.160 --> 0:27:47.159
<v Speaker 11>we think all aspects of the healthcare economy are going

0:27:47.200 --> 0:27:48.399
<v Speaker 11>to be revolutionized by AI.

0:27:48.680 --> 0:27:51.280
<v Speaker 3>The problem with twenty twenty three is suddenly we felt

0:27:51.280 --> 0:27:53.679
<v Speaker 3>that AI was this bright, new shiny object, and ultimately

0:27:53.760 --> 0:27:57.600
<v Speaker 3>artificial intelligen has been in an un sexy topic for years,

0:27:57.800 --> 0:27:59.760
<v Speaker 3>and I'm interested as to therefore for you, was it

0:27:59.760 --> 0:28:03.879
<v Speaker 3>a out starting to amplify the AI story amid the

0:28:03.880 --> 0:28:06.520
<v Speaker 3>companies you've already backed, or is it finding new companies

0:28:06.560 --> 0:28:08.720
<v Speaker 3>that are being built out of this sudden nique change

0:28:08.720 --> 0:28:10.160
<v Speaker 3>that we did see with generative AI.

0:28:10.600 --> 0:28:11.320
<v Speaker 1>I think it's both.

0:28:12.040 --> 0:28:14.359
<v Speaker 11>We've actually been investing You're right, it's been around for

0:28:14.359 --> 0:28:16.639
<v Speaker 11>a long time these technologies, and we've actually been investing

0:28:16.680 --> 0:28:19.359
<v Speaker 11>in five plus years in terms of how these technologies

0:28:19.359 --> 0:28:21.000
<v Speaker 11>are applied to healthcare, and I mentioned some of the

0:28:21.000 --> 0:28:23.239
<v Speaker 11>ways that could be and so I think there's going

0:28:23.280 --> 0:28:26.240
<v Speaker 11>to be plenty of new opportunities that come out over

0:28:26.280 --> 0:28:28.920
<v Speaker 11>the next decade of how AI can be applied to healthcare.

0:28:29.000 --> 0:28:31.400
<v Speaker 11>But I also think for existing companies. As you point out,

0:28:31.880 --> 0:28:34.800
<v Speaker 11>I talked about how healthcare is a very laborious industry.

0:28:34.840 --> 0:28:36.280
<v Speaker 1>A lot of its services you.

0:28:36.240 --> 0:28:39.240
<v Speaker 11>Know, humans doing tasks that actually can be automated, that

0:28:39.280 --> 0:28:41.720
<v Speaker 11>are pretty mundane but are very important. And so we

0:28:41.880 --> 0:28:45.520
<v Speaker 11>actually think AI is going to shift services to more software,

0:28:45.680 --> 0:28:48.920
<v Speaker 11>like in their administration and how care is delivered.

0:28:49.040 --> 0:28:51.320
<v Speaker 3>What has it done to the valuation story of the

0:28:51.320 --> 0:28:53.200
<v Speaker 3>companies that you're looking to invest it or already have that.

0:28:53.360 --> 0:28:56.440
<v Speaker 11>Well, AI is a hot space and I think, you know,

0:28:56.840 --> 0:29:00.440
<v Speaker 11>the valuations the AI sector are pretty robust, but we

0:29:00.560 --> 0:29:02.880
<v Speaker 11>also think the opportunities equally as robust.

0:29:02.880 --> 0:29:04.160
<v Speaker 1>And it's if you think about it.

0:29:04.280 --> 0:29:05.840
<v Speaker 11>You know, in my career and venture there have been

0:29:05.880 --> 0:29:09.280
<v Speaker 11>several platform changes, you know, moving from on premise software

0:29:09.320 --> 0:29:11.880
<v Speaker 11>to the cloud. That was a huge, huge shift in

0:29:11.920 --> 0:29:15.520
<v Speaker 11>our economy and created hundreds of billions, trillions of dollars

0:29:15.000 --> 0:29:19.840
<v Speaker 11>of innovation entrepreneurship. The iPhone right huge moment. AI is

0:29:19.880 --> 0:29:23.200
<v Speaker 11>also a huge moment. So while you know valuations are heady,

0:29:23.320 --> 0:29:25.800
<v Speaker 11>I actually think the opportunity is almost uncapped, and so

0:29:25.880 --> 0:29:29.360
<v Speaker 11>we're excited. And that applies to healthcare AI companies.

0:29:29.080 --> 0:29:31.000
<v Speaker 5>Too, and maybe even some exits.

0:29:31.160 --> 0:29:33.000
<v Speaker 3>I mean, talk to us about when you're thinking of

0:29:33.160 --> 0:29:35.880
<v Speaker 3>best some adventures, I think of, well, some of the

0:29:36.080 --> 0:29:39.000
<v Speaker 3>unbelievable companies that have been gone public through the pinterest

0:29:39.040 --> 0:29:41.400
<v Speaker 3>that you've been from early days and some of the

0:29:41.440 --> 0:29:42.680
<v Speaker 3>other Twilios linkedins.

0:29:42.880 --> 0:29:44.560
<v Speaker 5>Who are they in your current.

0:29:45.000 --> 0:29:48.240
<v Speaker 3>Source of portfolio companies that you've invested in. Where do

0:29:48.280 --> 0:29:49.560
<v Speaker 3>we see those exits coming from.

0:29:49.680 --> 0:29:53.080
<v Speaker 1>Yeah, I think it's the AI wave.

0:29:53.080 --> 0:29:55.040
<v Speaker 11>We're early in it, and so I think those exits

0:29:55.040 --> 0:29:58.200
<v Speaker 11>will come in you know, five ten years. But right now,

0:29:58.600 --> 0:30:02.560
<v Speaker 11>one area that we've invested in is the digitization of

0:30:02.600 --> 0:30:06.680
<v Speaker 11>the healthcare economy. Again, it's often been experienced where people

0:30:06.840 --> 0:30:09.160
<v Speaker 11>get their healthcare in person, but we saw that covid

0:30:09.680 --> 0:30:11.960
<v Speaker 11>actually unlock the whole idea of telehealth, and so we

0:30:12.040 --> 0:30:14.720
<v Speaker 11>think all throughout the delivery of care, whether it be

0:30:14.800 --> 0:30:18.160
<v Speaker 11>companies like Headspace Health or Hinge Health. Headspace is obviously

0:30:18.200 --> 0:30:20.640
<v Speaker 11>focused on mental health care, which as you know, has

0:30:20.680 --> 0:30:23.080
<v Speaker 11>been an area where frankly, there's a lack of supply

0:30:23.120 --> 0:30:25.640
<v Speaker 11>of clinicians in the US and in the world. And

0:30:25.680 --> 0:30:30.160
<v Speaker 11>so a company like Headspace that delivers really important, high

0:30:30.240 --> 0:30:33.240
<v Speaker 11>quality mental health care to all if you have a phone,

0:30:33.320 --> 0:30:37.400
<v Speaker 11>an iPhone. Again, that's a huge, huge opportunity that we

0:30:37.400 --> 0:30:38.800
<v Speaker 11>think is going to run for a long time. And

0:30:39.280 --> 0:30:41.040
<v Speaker 11>also a company like Hinge, which is doing the same

0:30:41.080 --> 0:30:43.640
<v Speaker 11>when it comes to back or knee or hip pain,

0:30:43.840 --> 0:30:46.160
<v Speaker 11>being able to deliver that care like physical therapy, you

0:30:46.200 --> 0:30:48.520
<v Speaker 11>don't have to go to see your physical therapist in person.

0:30:48.560 --> 0:30:51.480
<v Speaker 11>You can actually do that care via your iPhone. Again,

0:30:51.520 --> 0:30:53.320
<v Speaker 11>a huge market opportunity, and we think those are the

0:30:53.320 --> 0:30:56.600
<v Speaker 11>companies that we're going to see you get to exits

0:30:56.800 --> 0:30:57.440
<v Speaker 11>in the near term.

0:30:57.800 --> 0:31:00.440
<v Speaker 3>We'll based on the East Coast, but up in Boston. Yes,

0:31:00.880 --> 0:31:03.880
<v Speaker 3>where are those opportunities coming from? Where are these companies

0:31:04.320 --> 0:31:05.920
<v Speaker 3>being built at the moment? Do you think that you're

0:31:05.920 --> 0:31:07.440
<v Speaker 3>going to be looking to in twenty twenty four?

0:31:07.960 --> 0:31:10.480
<v Speaker 11>I You know, we at Bessemer have lawn believed that

0:31:10.600 --> 0:31:13.800
<v Speaker 11>you know, Silicon Valley is obviously a hotbed of innovation,

0:31:13.960 --> 0:31:17.840
<v Speaker 11>but Boston's a hot bed of biopharmacutical and healthcare innovation.

0:31:17.920 --> 0:31:21.040
<v Speaker 11>New York but frankly, we've invested all over the United

0:31:21.080 --> 0:31:21.480
<v Speaker 11>States and.

0:31:21.480 --> 0:31:22.200
<v Speaker 1>All over the globe.

0:31:22.200 --> 0:31:25.080
<v Speaker 11>We have offices worldwide, and so we actually think entrepreneurs

0:31:25.320 --> 0:31:28.000
<v Speaker 11>can be anywhere. And frankly, one of the things that

0:31:28.280 --> 0:31:31.680
<v Speaker 11>you know remote work taught us is that you you know, entrepreneurs.

0:31:31.240 --> 0:31:32.840
<v Speaker 1>Are everywhere and people can work everywhere.

0:31:32.840 --> 0:31:36.600
<v Speaker 11>And so we've invested in everywhere from Minneapolis to North

0:31:36.640 --> 0:31:40.160
<v Speaker 11>Carolina to London, Israel, and all.

0:31:40.120 --> 0:31:40.800
<v Speaker 1>Across the globe.

0:31:40.800 --> 0:31:43.080
<v Speaker 11>And so I don't think entrepreneurs are limited and where

0:31:43.120 --> 0:31:46.640
<v Speaker 11>they live. I think it's that spirit lives everywhere and

0:31:46.880 --> 0:31:48.200
<v Speaker 11>the possibilities are everywhere.

0:31:49.000 --> 0:31:51.040
<v Speaker 5>Steve Krausser from Bessemer Venture.

0:31:50.880 --> 0:31:54.480
<v Speaker 6>Partners venture back startups in the lab grown meat space

0:31:54.880 --> 0:31:57.880
<v Speaker 6>have received billions of dollars in the last decade, but

0:31:57.920 --> 0:32:01.440
<v Speaker 6>the companies aren't actually delivering and what was initially forecast

0:32:01.640 --> 0:32:05.040
<v Speaker 6>for mainstream adoption. In the latest edition of Bloomberg Business Week,

0:32:05.080 --> 0:32:07.880
<v Speaker 6>we dive deep into one of the industry's biggest players,

0:32:08.080 --> 0:32:10.840
<v Speaker 6>Upside Foods. Joining us now is one of the co

0:32:10.920 --> 0:32:14.760
<v Speaker 6>authors of that piece. Bloomberg's preer and end. There is

0:32:14.800 --> 0:32:18.400
<v Speaker 6>a stigma we've grab loan lab grown anything.

0:32:19.640 --> 0:32:22.480
<v Speaker 4>Tell us about your article in the magazine. What is

0:32:22.520 --> 0:32:24.600
<v Speaker 4>the main conclusion that it comes to.

0:32:25.240 --> 0:32:29.280
<v Speaker 12>These companies, especially Upside Foods, promised that they would deliver

0:32:29.600 --> 0:32:32.920
<v Speaker 12>a center of plate sort of style of meat that

0:32:33.280 --> 0:32:36.880
<v Speaker 12>is an equal substitute to folks who enjoy eating meat,

0:32:37.560 --> 0:32:41.240
<v Speaker 12>different from the plant based industry, where you know, it's

0:32:41.280 --> 0:32:44.800
<v Speaker 12>not necessarily one to one and it's not necessarily real meat.

0:32:44.840 --> 0:32:47.920
<v Speaker 12>There are other components of vegetables and other things like

0:32:47.960 --> 0:32:52.000
<v Speaker 12>that mixed in. And what has become clear is over

0:32:52.040 --> 0:32:54.720
<v Speaker 12>the years, after hundreds of millions of dollars in funding

0:32:55.000 --> 0:32:57.680
<v Speaker 12>for Upside Foods in particular, the company is still struggling

0:32:58.000 --> 0:33:01.360
<v Speaker 12>to make the technology work to actually deliver what it

0:33:01.400 --> 0:33:02.760
<v Speaker 12>has promised over the years.

0:33:02.920 --> 0:33:06.080
<v Speaker 6>Well like that one basics, so is it even revenue generating?

0:33:06.120 --> 0:33:08.880
<v Speaker 6>In other words, does it have a meat product lab

0:33:08.920 --> 0:33:10.320
<v Speaker 6>grown that it sells anywhere?

0:33:10.680 --> 0:33:13.880
<v Speaker 12>Right now, the company is supplying small amounts to a restaurant,

0:33:14.280 --> 0:33:17.320
<v Speaker 12>very very very small amounts, and it's far away from

0:33:17.360 --> 0:33:21.320
<v Speaker 12>being able to make a similar product at scale for supermarkets.

0:33:21.360 --> 0:33:22.800
<v Speaker 5>And for years, the promise.

0:33:22.480 --> 0:33:25.320
<v Speaker 12>Has been that these kinds of companies will by twenty

0:33:25.360 --> 0:33:29.680
<v Speaker 12>twenty one under supermarkets like Costco. And the idea was

0:33:30.320 --> 0:33:33.360
<v Speaker 12>people love eating meat, why should we slaughter more animals

0:33:33.360 --> 0:33:33.680
<v Speaker 12>for it?

0:33:34.760 --> 0:33:40.480
<v Speaker 3>What ultimately has been perhaps an exuberance about the timetable here,

0:33:40.640 --> 0:33:43.160
<v Speaker 3>is there any reality that we'll start to see lab

0:33:43.200 --> 0:33:45.640
<v Speaker 3>grown meat on our plates more quickly? Because you have

0:33:45.680 --> 0:33:47.960
<v Speaker 3>this beautiful part of the story where you're saying that

0:33:47.960 --> 0:33:48.960
<v Speaker 3>basically people are having.

0:33:48.800 --> 0:33:50.920
<v Speaker 5>To sort of dig out of test tubes.

0:33:50.600 --> 0:33:52.800
<v Speaker 3>And make one very small, tiny piece of chicken in

0:33:52.840 --> 0:33:55.240
<v Speaker 3>the metal when they should be making much larger amounts

0:33:55.240 --> 0:33:57.240
<v Speaker 3>of a feel that's right.

0:33:57.360 --> 0:33:59.080
<v Speaker 12>There are a number of companies in the space that

0:33:59.120 --> 0:34:01.800
<v Speaker 12>say they're going to use animal cells to create sort.

0:34:01.640 --> 0:34:03.160
<v Speaker 5>Of hybrid products that are.

0:34:03.160 --> 0:34:06.520
<v Speaker 12>Partly plant based, partly this lab grown meat to make

0:34:06.640 --> 0:34:10.560
<v Speaker 12>a plant based meat while tastes more like actual chicken

0:34:10.680 --> 0:34:13.880
<v Speaker 12>or actual beef, for example. And these companies say that

0:34:13.920 --> 0:34:17.000
<v Speaker 12>they will in a couple of years have these sort

0:34:17.040 --> 0:34:20.200
<v Speaker 12>of hybrid products available. But at the same time, the

0:34:20.239 --> 0:34:23.080
<v Speaker 12>process has been slow moving, and many of the largest

0:34:23.080 --> 0:34:25.960
<v Speaker 12>companies are still only in these small scale tasting events.

0:34:26.040 --> 0:34:28.040
<v Speaker 12>And in the case of Upside Foods, we've learned that

0:34:28.080 --> 0:34:31.920
<v Speaker 12>the company has yet to actually be producing at scale.

0:34:32.640 --> 0:34:35.520
<v Speaker 5>Preer fascinating. Go read the story.

0:34:35.719 --> 0:34:40.200
<v Speaker 3>It's really sort of a history of what is exuberant

0:34:40.200 --> 0:34:41.160
<v Speaker 3>in this particular space.

0:34:41.200 --> 0:34:43.800
<v Speaker 5>Faced with reality priann end. We thank you so much.

0:34:43.880 --> 0:34:47.520
<v Speaker 3>Meanwhile, look we're turning to another story, this gone viral.

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<v Speaker 5>That we haven't had a chance to discuss yet.

0:34:49.920 --> 0:34:52.960
<v Speaker 3>Ail Musk is starting his own university of wanting to

0:34:53.040 --> 0:34:55.520
<v Speaker 3>tax filings for the billionaire's latest charity, called the Foundation

0:34:55.920 --> 0:34:57.719
<v Speaker 3>Now as a CEO is planning.

0:34:57.400 --> 0:34:59.120
<v Speaker 5>To start a university in Austin.

0:34:59.400 --> 0:35:02.240
<v Speaker 3>New institution, inceeded with roughly one hundred million dollars gift

0:35:02.360 --> 0:35:05.880
<v Speaker 3>from Musk, will start with a STEM focused primary and

0:35:05.960 --> 0:35:09.160
<v Speaker 3>secondary school and then move on to late style education.

0:35:09.320 --> 0:35:10.880
<v Speaker 5>He's actually not the first time.

0:35:10.760 --> 0:35:14.080
<v Speaker 6>He started education for kids, right, Yeah, He's actually set

0:35:14.120 --> 0:35:16.760
<v Speaker 6>up a school for his children years ago in Texas.

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<v Speaker 4>This is the next level Elon Muster, the philanthropist.

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<v Speaker 5>What's he gonna call it? Is that have has something

0:35:21.400 --> 0:35:21.759
<v Speaker 5>to do with.

0:35:21.840 --> 0:35:24.680
<v Speaker 6>X Maybe it has something to do with being proximity

0:35:24.719 --> 0:35:25.560
<v Speaker 6>to his space company.

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<v Speaker 3>I think convenience is everything. Meanwhile, that does it. For

0:35:28.640 --> 0:35:31.359
<v Speaker 3>this edition of Bluebog Technology, check

0:35:31.360 --> 0:35:33.680
<v Speaker 6>Out the pod wherever you get your pods Apple and

0:35:33.680 --> 0:35:34.360
<v Speaker 6>on Bloomberg