WEBVTT - Powell Spooks Markets, More Job Cuts at Meta

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<v Speaker 1>And Caroline Hide and bloom Mug's world headquarters in New

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<v Speaker 1>York and Amed Lovo in San Francisco. This is Bloomberg

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<v Speaker 1>Technology coming up, Hawks hit stocks, Jerome Poal's spooks markets

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<v Speaker 1>that says Mike Wilson, Open at Morgan Stanley WARN's Growth Equities,

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<v Speaker 1>Face Pressure Ahead will bring you the details class more

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<v Speaker 1>job cuts at Meta, the Facebook parents planning to lay

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<v Speaker 1>off thousands as soon as this week. More on our

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<v Speaker 1>Bloomberg exclusive ahead. And China shakes up oversight of its

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<v Speaker 1>vast tech arena. That's as Sijing ping focuses on fending

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<v Speaker 1>off US sanctions and achieving self sufficiency in areas from

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<v Speaker 1>AI to chips. All that and so much more coming up,

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<v Speaker 1>and there is a lot to digest in the macro

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<v Speaker 1>part of these markets today. It was one of a

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<v Speaker 1>perspective coming from Jerome Poal coming out fighting. And we

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<v Speaker 1>see that maybe the Federals is not done tackling inflation

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<v Speaker 1>NAS that falls one and a quarter percent, So big

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<v Speaker 1>tech on deck. We look at all country World Index.

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<v Speaker 1>In fact, all this worry around what the Federal Reserve,

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<v Speaker 1>the Central Bank to the world will do affected European trading.

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<v Speaker 1>We're off by one point three percent. When you look

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<v Speaker 1>at the all country benchmarks, and I'm looking at this inversion,

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<v Speaker 1>this of course is that the two year bond yields

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<v Speaker 1>the capositor boring at the two year is higher than

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<v Speaker 1>at the tenure at the moment by a four percentage point,

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<v Speaker 1>So we see negative one hundred and four basis points

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<v Speaker 1>when you're looking in the eleven inversion. This signals the

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<v Speaker 1>worry that the market has about a recession. To come

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<v Speaker 1>flick it on a gear. Let's look at the US

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<v Speaker 1>do a strength that we saw on the back of

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<v Speaker 1>that hawkish tone, and then that Bitcoin is under pressure

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<v Speaker 1>too by one point nine percent, and share power ed

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<v Speaker 1>having some fighting words for crypto in particular as well. Yeah,

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<v Speaker 1>those fighting words where they were the main driver when

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<v Speaker 1>it came to single stock names in the equity markets,

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<v Speaker 1>although some individual stocks I look too. Rivian down fourteen

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<v Speaker 1>and a half percent. The company plans to offer one

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<v Speaker 1>point three billion dollars in green convertible notes that could

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<v Speaker 1>potentially have a dilutive effect on outstanding shares down the road.

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<v Speaker 1>Tests are under pressure down three percent. Is must talked

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<v Speaker 1>about Twitter's debt bird and Amazon was down two tenths

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<v Speaker 1>of a percent, Alphabet parent of Google down one point

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<v Speaker 1>three percent. Those two names Goldman's top tech picks for

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<v Speaker 1>twenty twenty three, that didn't do much to support the stock.

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<v Speaker 1>After fed Power made those kinds. Then Meta, I will

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<v Speaker 1>actually just show the trading Meta had been markedly higher

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<v Speaker 1>after my colleagues and I reported that more layoffs are

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<v Speaker 1>coming in the thousands as soon as this week, and

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<v Speaker 1>then post Power completely fell away, actually ending up trading

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<v Speaker 1>down two tenths of one percent. That is the effect

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<v Speaker 1>the chairman Power is having in this market. Carry and

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<v Speaker 1>we go back to basics. We haven't talked about this

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<v Speaker 1>in a little while, but the prospect of higher rates

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<v Speaker 1>discounting the present value of future profits, particularly for that

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<v Speaker 1>tech sector, and then you price in that recession risk,

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<v Speaker 1>which is now back on the table as well. But

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<v Speaker 1>this is the conundrum, of course, that the Federals of

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<v Speaker 1>has to focus on. When you've got inflation still well

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<v Speaker 1>above the two percent target, it affects the labor market,

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<v Speaker 1>as you have been reporting, with the likes of Meta,

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<v Speaker 1>companies have to start to squeeze, they have to put

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<v Speaker 1>jobs on the line. And I thought that Elizabeth Warren

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<v Speaker 1>of course, really coming out lasking look what you say

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<v Speaker 1>to those jobs that are going to be lost, and

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<v Speaker 1>Chef House saying I tell them that everyone is affected

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<v Speaker 1>by inflation. But ed dig into the micro detail that

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<v Speaker 1>you've been reporting out. Just tell us a little bit

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<v Speaker 1>about well, what the under duress over at Meta. Whether

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<v Speaker 1>this is something we can read across to the rest

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<v Speaker 1>of the tech market. Yeah, understanding from sources is that

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<v Speaker 1>vps and director levels staff are making lists. These are

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<v Speaker 1>new layoffs, thousands of new potential job cuts on top

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<v Speaker 1>of the eleven thousand from last year and on top

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<v Speaker 1>of the flattening of middle management earlier this year, because

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<v Speaker 1>they're still under duress. Right, this is the year of efficiency.

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<v Speaker 1>It's just that Moore's needed to get there. And when

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<v Speaker 1>we think about efficiency, many would say that's of course

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<v Speaker 1>why key growthier names are being focused on, because suddenly

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<v Speaker 1>their future growth perhaps looks less certain. It's what we've

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<v Speaker 1>heard time and time again, particularly from some of the

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<v Speaker 1>uber bears out there, one of them being Morgan Stanley

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<v Speaker 1>is Mike Wilson who says, once again, even though we

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<v Speaker 1>saw the sell off of twenty twenty two, you could

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<v Speaker 1>see a twenty percent downside for the growth names. Just

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<v Speaker 1>take a listen. I think there's plenty of stacks that

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<v Speaker 1>are probably gonna your bankrupt, you know. I mean, I

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<v Speaker 1>don't think that's a crazy statement, but that's not the

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<v Speaker 1>bot of the stack market. Okay, So this is as

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<v Speaker 1>a pocket of the stack market. And then I would

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<v Speaker 1>say a bit overall the growthier stuff and the thing

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<v Speaker 1>that even the sign bols names that have gone too

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<v Speaker 1>far now because as much as twenty percent to ask

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<v Speaker 1>no problem growthier stuff. Let's talk about well, one particular

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<v Speaker 1>analyst who looks across the whole gamut of technology TMT

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<v Speaker 1>names in general, Needham Managing Director and senior analyst, Laura Martin.

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<v Speaker 1>Laura is so good to have you on the show

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<v Speaker 1>and just tell us the breadth of companies that you analyze.

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<v Speaker 1>The Are we currently throwing everything out with the bathwater

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<v Speaker 1>at the moment because we're worried about future growth no

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<v Speaker 1>matter who you are. Yes, Because as bond yields go up,

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<v Speaker 1>bonds look more attractive as a substitute to equity. So

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<v Speaker 1>we're getting net equity outflows into the bond market. That

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<v Speaker 1>makes sense economically, and that's a higher level of the

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<v Speaker 1>capital structure, so they have lower risk in cachase somebody

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<v Speaker 1>does go bankrupt. And I think specifically, as you get

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<v Speaker 1>this advertising down draft, advertising has eighty percent margins. So Google,

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<v Speaker 1>specifically Google and Meta per Alphabet and Meta really are

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<v Speaker 1>going to be under margin pressure if we go under

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<v Speaker 1>recession and if advertising demand gets worse. Laura, in the

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<v Speaker 1>context the multiples on some of the names that you

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<v Speaker 1>do you cover. What's the biggest concern to the market

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<v Speaker 1>right now? Is it this idea that rates will go

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<v Speaker 1>higher in bigger increments or are we starting to get

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<v Speaker 1>more and more concerned about how deeper recession might come.

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<v Speaker 1>So the biggest concern is in a discount of cash flow,

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<v Speaker 1>which is the academically rigorous way to value these companies.

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<v Speaker 1>If you have a higher discount rate any cash flow

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<v Speaker 1>that comes from like year four in future, like Amazon

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<v Speaker 1>is making no money, Meta is to have it, you know,

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<v Speaker 1>really in a down draft in his profit marches that

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<v Speaker 1>all those out years become much less valuable. And so

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<v Speaker 1>what you care about a lot is current year cash

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<v Speaker 1>flow and next year's cash flow. And on that score,

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<v Speaker 1>Apple ninety billion dollars a year of cash flow, like

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<v Speaker 1>super Safe feels like a good place to hide super liquid.

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<v Speaker 1>Google still continues to have high free cash flow. We'd

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<v Speaker 1>like them to cut costs faster, but a lot of

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<v Speaker 1>their value is not past year five, which in a

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<v Speaker 1>rising interest rate environment, those past year five cash flows

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<v Speaker 1>are really discounted harshly. Let's dig in on actually the

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<v Speaker 1>only name that you have an underperform on, and it's Meta.

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<v Speaker 1>They are trying to tork up efficiency in particular, they

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<v Speaker 1>are of course looking towards their four jobs that are

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<v Speaker 1>on the line, Laura, But ultimately I've looked at some

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<v Speaker 1>of your decks on this company. After their earnings you

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<v Speaker 1>said you'd like the word efficiency, but are they just

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<v Speaker 1>rearranging all the chairs? And the Titanic is one of

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<v Speaker 1>the phrases you used. True, I mean, I think the

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<v Speaker 1>question we're asking is does Meta have a terminal value

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<v Speaker 1>in its core business? Because one of the data points

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<v Speaker 1>we're reading is most of the layoffs the CEO, Mark

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<v Speaker 1>Zuckerberg is making sit in the core business of Meta

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<v Speaker 1>that's being undermined by TikTok. Assuming TikTok doesn't get banned,

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<v Speaker 1>the question we have is in the core business that

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<v Speaker 1>funds the metavers, does he actually have a terminal value,

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<v Speaker 1>or does he just lose all his creators and all

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<v Speaker 1>his users in the first Royal countries to TikTok instead,

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<v Speaker 1>assuming it stays in business. I think that's a very

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<v Speaker 1>real question for these network effect businesses that benefit from

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<v Speaker 1>network effects on the way up, it gets slaughtered by

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<v Speaker 1>network effects like MySpace did on the way down. Yes, Laura,

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<v Speaker 1>how worried you about brain drain? I find this really interesting.

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<v Speaker 1>One source described this latest round of layoffs to me

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<v Speaker 1>is more of a sledge hammer. If the eleven thousand

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<v Speaker 1>in November were done with a scalpel, this is a

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<v Speaker 1>sledge hammer. And I wonder, what's the risk that they

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<v Speaker 1>lose all of these smart pool that are trying to

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<v Speaker 1>drive this longer term transition, so they don't even get there.

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<v Speaker 1>Agree one hundred percent. I think it's hard for morale

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<v Speaker 1>to layoff people. I think what happens is if you're

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<v Speaker 1>not sure you're going to get laid off, your most

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<v Speaker 1>talented people go and proactively look for another job and

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<v Speaker 1>get hired away. So you end up left with is

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<v Speaker 1>a people who can't get the next job, So you

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<v Speaker 1>end up with the people that are the worst of

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<v Speaker 1>the Bell curve not the best because the best people

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<v Speaker 1>go somewhere else where their job security is intact. Lastly, though,

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<v Speaker 1>when you hear about actually other areas of focus, particularly

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<v Speaker 1>for ANAS at the moment, is saying one area that

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<v Speaker 1>could perhaps be an upside potential is artificial intelligence. Are

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<v Speaker 1>you buying that, Laura, particularly for some of these big

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<v Speaker 1>companies that you monitor. So it's a great question. So

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<v Speaker 1>last year was the year of the metaverse. I think

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<v Speaker 1>this year is going to be the year of AI.

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<v Speaker 1>So the best question is when we're sitting here a

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<v Speaker 1>year from now, in early twenty four, is anybody talking

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<v Speaker 1>about AI or removed on to something else. I think

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<v Speaker 1>most of these big tech companies have been using machine

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<v Speaker 1>learning for a long time to make their recommendations better,

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<v Speaker 1>to sort their search pages. They've all been using machine learning,

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<v Speaker 1>you know, sort of chat, GPT and generative. AI is

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<v Speaker 1>new to the consumer market, but a lot of these

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<v Speaker 1>tech guys would say they've been using AI slash machine

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<v Speaker 1>learning for years. So UM, I don't I don't know

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<v Speaker 1>whether AI is as big a deal for these large

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<v Speaker 1>tech driven companies as it is for the consumer where

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<v Speaker 1>suddenly there's a use case it's really exciting in both

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<v Speaker 1>like um both pictures and in and in you know answers.

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<v Speaker 1>We're going to be putting that to a key salesforce

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<v Speaker 1>executive a little bit later. Needam Managing director and senior analyst,

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<v Speaker 1>Laura Martin. What a day to have you on. Thank

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<v Speaker 1>you so much spending the time. So I'm now full

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<v Speaker 1>VC roundup and we're starting with payment platform startup air

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<v Speaker 1>Wall expect by ten Cent, which just acquired an online

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<v Speaker 1>payment business license in China. The transaction cleared all regulatory

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<v Speaker 1>hurdles with Chinese authorities and now allows air walls to

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<v Speaker 1>become a third party payment provider in the world's second

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<v Speaker 1>largest economy and boost its access to the local market.

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<v Speaker 1>The founders of Argo AI, the autonomous vehicle company that

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<v Speaker 1>was shut down last year, a launching a new self

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<v Speaker 1>driving business that could specialize in trucking and ride hailing.

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<v Speaker 1>According to sources, Amazon which almost rescued Argo last year

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<v Speaker 1>but eventually pulled out, is not an investor in a

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<v Speaker 1>new firm, and finally saleforces VCARM is launching a new

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<v Speaker 1>two hundred and fifty million dollar fund, its largest to date,

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<v Speaker 1>to invest in Guess what generative AI startups. The Enterprise

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<v Speaker 1>Giant also unveiling new tools integrated with open aies technology

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<v Speaker 1>and dubbed Einstein GPT. They will be used for functions

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<v Speaker 1>such as drafting, customer service response or initial sales emails.

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<v Speaker 1>We'll have more on that later this hour. Of course,

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<v Speaker 1>Carrow with Salesforces Service Cloud CEO Clara she and ed

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<v Speaker 1>to that point we were just doing from Laura Martin saying, look,

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<v Speaker 1>so many of these big tech companies I've been using

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<v Speaker 1>machine learning and other forms of artificial intelligence for years,

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<v Speaker 1>and I thought it's really interesting that through Einstein Einstein,

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<v Speaker 1>I'm sure it's mens known as Salesforce AI is Actually

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<v Speaker 1>they've been using what is it, two hundred billion AI

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<v Speaker 1>powered predictions per day anyway, So what really is this

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<v Speaker 1>large language model going to be adding to in terms

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<v Speaker 1>of their overall provision. I think I've got a smile

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<v Speaker 1>in the corner of my mouth right because you say

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<v Speaker 1>it Salesforce Open AI GPT in the headline. But it

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<v Speaker 1>goes back to what everyone's been telling us on the show.

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<v Speaker 1>Enterprise is where they see the most promise for these applications.

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<v Speaker 1>It's just the headlines keep on coming and it's not

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<v Speaker 1>just enterprise focused software companies using it. There's banks. I've

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<v Speaker 1>been hearing a plenty of financial companies really trying to

0:11:59.600 --> 0:12:02.679
<v Speaker 1>harness power of artificial intelligence. We can dive into that

0:12:02.720 --> 0:12:05.679
<v Speaker 1>a little bit now with stephaniely Chun, general partner over

0:12:05.720 --> 0:12:08.880
<v Speaker 1>at Portage. It's a global investment platform focused on fintech,

0:12:08.920 --> 0:12:11.439
<v Speaker 1>on financial services. You've got what three billion dollars in

0:12:11.480 --> 0:12:13.480
<v Speaker 1>assets on a management You've recently just closed a six

0:12:13.600 --> 0:12:16.360
<v Speaker 1>hundred and fifty five million fund three as one of

0:12:16.360 --> 0:12:18.840
<v Speaker 1>the largest early stage venture funds out there in the

0:12:18.840 --> 0:12:22.880
<v Speaker 1>world of fintech, and so therefore step artificial intelligence. Is

0:12:22.920 --> 0:12:24.840
<v Speaker 1>that a height that you're hearing or is it a

0:12:24.880 --> 0:12:28.840
<v Speaker 1>reality that you're investing in. It's definitely the one exception

0:12:28.880 --> 0:12:32.040
<v Speaker 1>to the macro that we've been seeing. And I would

0:12:32.040 --> 0:12:35.080
<v Speaker 1>say we back the world wist innovative financial services companies,

0:12:35.120 --> 0:12:40.320
<v Speaker 1>and we're already seeing interesting applications beyond enterprise and beyond

0:12:40.320 --> 0:12:43.640
<v Speaker 1>the arvious, which I think most people would think, you know,

0:12:43.720 --> 0:12:48.600
<v Speaker 1>how can AI in a large financial institution really improve

0:12:48.840 --> 0:12:51.640
<v Speaker 1>customer service? That's kind of the first most obvious place,

0:12:52.240 --> 0:12:54.640
<v Speaker 1>But I do think it can enable so much more

0:12:55.280 --> 0:12:58.000
<v Speaker 1>in the future. I can imagine a world in which

0:12:58.040 --> 0:13:02.079
<v Speaker 1>your complete financial picture or as a consumer is actually

0:13:02.080 --> 0:13:06.600
<v Speaker 1>completely automated by AI. So it's beyond just being able

0:13:06.600 --> 0:13:11.560
<v Speaker 1>to interact in natural language, but also be able to

0:13:11.760 --> 0:13:16.760
<v Speaker 1>actually have the AI and or machine learning do things

0:13:16.840 --> 0:13:20.400
<v Speaker 1>on your behalf. Steph, I know an area in fintech

0:13:20.480 --> 0:13:23.520
<v Speaker 1>that you're really positive about is vertical sas, And what

0:13:23.559 --> 0:13:26.480
<v Speaker 1>I wanted to ask you is do you make bets

0:13:26.960 --> 0:13:30.800
<v Speaker 1>on AI related startups or do you make bets on

0:13:30.840 --> 0:13:34.840
<v Speaker 1>the companies and startops that will benefit from other AI tools?

0:13:34.880 --> 0:13:37.560
<v Speaker 1>Do you see what I mean. I'm much more excited

0:13:37.559 --> 0:13:42.120
<v Speaker 1>about vertical specific sas than I am about horizontal AI,

0:13:42.640 --> 0:13:44.360
<v Speaker 1>because at the end of the day, I think you

0:13:44.440 --> 0:13:50.320
<v Speaker 1>still need very specific, semantic subject matter expertise and a

0:13:50.480 --> 0:13:53.959
<v Speaker 1>focus on a specific target segment in order to create

0:13:54.120 --> 0:13:58.160
<v Speaker 1>a great product experience. So we have always been focused

0:13:58.200 --> 0:14:02.440
<v Speaker 1>on know your customer, serve your customer well, and AI

0:14:02.640 --> 0:14:05.280
<v Speaker 1>is going to be a tool that allows you to

0:14:05.440 --> 0:14:09.000
<v Speaker 1>better serve that customer and that segment. So ultimately, I

0:14:09.000 --> 0:14:12.120
<v Speaker 1>think we're much more bullish on the vertical focus rather

0:14:12.160 --> 0:14:14.600
<v Speaker 1>than the horizontal technology, which I think, at the end

0:14:14.600 --> 0:14:17.160
<v Speaker 1>of the day is probably going to be owned by

0:14:17.280 --> 0:14:20.480
<v Speaker 1>the likes of open AI ultimately, and I would add

0:14:20.520 --> 0:14:23.960
<v Speaker 1>one other thing, which is in the future, if the

0:14:24.040 --> 0:14:28.720
<v Speaker 1>models are in fact kind of commoditize, what really matters

0:14:28.880 --> 0:14:32.320
<v Speaker 1>is the very specific data that you have, and proprietary

0:14:32.440 --> 0:14:35.800
<v Speaker 1>data becomes the moat and the major advantage, and therefore

0:14:35.840 --> 0:14:42.240
<v Speaker 1>that also favors vertical specific applications versus horizontal applications. Steph,

0:14:42.280 --> 0:14:43.960
<v Speaker 1>I wanted to talk a bit about the environment that

0:14:44.040 --> 0:14:48.760
<v Speaker 1>we're in. Matt Harris from Baying Venture Capital Partner's been

0:14:48.760 --> 0:14:51.880
<v Speaker 1>on the show recently. We had Layliss study from Capital

0:14:51.960 --> 0:14:55.240
<v Speaker 1>g both basically saying, actually, it's a great time to

0:14:55.320 --> 0:14:58.560
<v Speaker 1>be writing checks, particularly at the earliest stage of the curve.

0:14:59.000 --> 0:15:00.680
<v Speaker 1>Do you kind of agree with then there's a lot

0:15:00.680 --> 0:15:04.920
<v Speaker 1>of opportunity in this moment, I would say, I would

0:15:04.960 --> 0:15:07.160
<v Speaker 1>say it depends on how you how you think about

0:15:07.200 --> 0:15:09.920
<v Speaker 1>what early stages. I think across the board, because of

0:15:10.000 --> 0:15:14.840
<v Speaker 1>where the fed rates are, risk assets are now out

0:15:14.880 --> 0:15:17.520
<v Speaker 1>of favor. I would say the largest impact has been

0:15:17.560 --> 0:15:20.440
<v Speaker 1>on Series C in Series D in the market where

0:15:20.440 --> 0:15:23.600
<v Speaker 1>we've seen valuations drop more than fifty percent at Series D,

0:15:24.120 --> 0:15:28.320
<v Speaker 1>really mirroring the public markets dropping seventy percent I would

0:15:28.360 --> 0:15:30.640
<v Speaker 1>say feed in Series A valuations which are on the

0:15:30.720 --> 0:15:33.880
<v Speaker 1>earlier side of the curve have also We've also seen

0:15:33.880 --> 0:15:35.960
<v Speaker 1>a trickle down effect to there, but it's been the

0:15:35.960 --> 0:15:39.560
<v Speaker 1>biggest leg so valuations there have dropped more light ten

0:15:39.600 --> 0:15:42.440
<v Speaker 1>to twenty five percent across the board. I would say

0:15:42.520 --> 0:15:46.320
<v Speaker 1>it is a great time to be a venture investor. However,

0:15:46.440 --> 0:15:50.840
<v Speaker 1>the later stage venture deals, where there's been an exodus

0:15:50.880 --> 0:15:54.080
<v Speaker 1>and an imbalance of supply and demand in terms of capital,

0:15:54.280 --> 0:15:58.640
<v Speaker 1>have seen the largest valuation fallouts. When you're looking at

0:15:58.640 --> 0:16:01.920
<v Speaker 1>the early stages, you do staff where in the world

0:16:01.960 --> 0:16:04.320
<v Speaker 1>do you focus, Because what's really interesting about your portfolios

0:16:04.400 --> 0:16:07.080
<v Speaker 1>is so global. I'm looking at French, German and shottech

0:16:07.120 --> 0:16:09.760
<v Speaker 1>companies for example. Is Europe right? Is it still about

0:16:09.800 --> 0:16:13.400
<v Speaker 1>the US? Is in Asia? I would say, we've got

0:16:13.400 --> 0:16:15.760
<v Speaker 1>a really global portfolio, but a third of our portfolio

0:16:15.840 --> 0:16:19.040
<v Speaker 1>is in Europe. They are very significant, as you guys

0:16:19.080 --> 0:16:22.960
<v Speaker 1>would know, regional differences even within Europe in terms of

0:16:23.240 --> 0:16:26.840
<v Speaker 1>where the regulatory environment is going, in terms of if

0:16:26.840 --> 0:16:31.640
<v Speaker 1>you look at the differences between banking, insurance, and wealth management.

0:16:31.960 --> 0:16:36.280
<v Speaker 1>So we see global macro trends as being really interesting.

0:16:36.320 --> 0:16:38.440
<v Speaker 1>There's investments to be made in Europe, investments to be

0:16:38.520 --> 0:16:41.680
<v Speaker 1>made in North America. I would say in times like

0:16:41.960 --> 0:16:46.360
<v Speaker 1>this where valuations have decreased, globally, we tend to see

0:16:46.600 --> 0:16:51.200
<v Speaker 1>flight to capital two larger more established markets like the US,

0:16:51.680 --> 0:16:56.240
<v Speaker 1>like the UK, etc. But obviously within fintech you need

0:16:56.280 --> 0:17:00.000
<v Speaker 1>to be aware of the regulatory nuances of each specific country.

0:17:00.000 --> 0:17:04.560
<v Speaker 1>And you are breaking steph Tube General partner at Portage,

0:17:04.600 --> 0:17:06.840
<v Speaker 1>thank you so much. You know, we're moving our showtime

0:17:06.920 --> 0:17:10.359
<v Speaker 1>next week earlier in the day, twelve eastern, nine am Pacific,

0:17:10.400 --> 0:17:12.280
<v Speaker 1>and we want to take that global view. You know,

0:17:12.359 --> 0:17:15.120
<v Speaker 1>it's interesting to have a partner on that looks globally

0:17:15.119 --> 0:17:17.760
<v Speaker 1>and outside of North America. And let's turn very quickly

0:17:18.080 --> 0:17:22.440
<v Speaker 1>to crypto. Gray Scales fight over its Bitcoin ETF begins

0:17:22.680 --> 0:17:25.960
<v Speaker 1>in court. We bring you the latest details out from Washington, DC.

0:17:26.560 --> 0:17:41.879
<v Speaker 1>That's next. This is Bloomberg. We're watching what's been happening

0:17:41.920 --> 0:17:45.119
<v Speaker 1>in the crypto space, and you know what we see is,

0:17:45.400 --> 0:17:47.800
<v Speaker 1>you know, quite a lot of turmoil. We see fraud,

0:17:47.920 --> 0:17:50.359
<v Speaker 1>we see a lack of transparency, we see run risk

0:17:50.720 --> 0:17:53.080
<v Speaker 1>lots and lots of things like that. And so what

0:17:53.080 --> 0:17:56.080
<v Speaker 1>we've been doing is making sure that the that the

0:17:56.960 --> 0:18:00.800
<v Speaker 1>regulated financial institutions that we supervise and regulate are careful,

0:18:00.880 --> 0:18:04.040
<v Speaker 1>are taking great care in the ways that they engage

0:18:04.119 --> 0:18:09.360
<v Speaker 1>with the with the whole crypto space. Some of FED

0:18:09.440 --> 0:18:12.640
<v Speaker 1>chair Pal's remarks on the crypto market, of course this

0:18:12.680 --> 0:18:15.080
<v Speaker 1>morning on Capitol Hill, and in fact some other news

0:18:15.080 --> 0:18:16.840
<v Speaker 1>in terms of crypto A few minutes ago, we just

0:18:16.920 --> 0:18:19.679
<v Speaker 1>learned that Finance US hasn't need one court approval to

0:18:19.720 --> 0:18:23.040
<v Speaker 1>buy Voyage, a digital land Voyager, to end its bankruptcy

0:18:23.200 --> 0:18:26.720
<v Speaker 1>repay customers. Of course, all of this following the fallout

0:18:26.720 --> 0:18:29.600
<v Speaker 1>of FTX. Also today was the start of a court

0:18:29.640 --> 0:18:33.040
<v Speaker 1>fight between gray Scale Investments and the SEC over plans

0:18:33.080 --> 0:18:35.719
<v Speaker 1>to convert well It had hoped to convert his fourteen

0:18:35.760 --> 0:18:39.080
<v Speaker 1>billion dollars bitcoin trust into an ETF police to say,

0:18:39.359 --> 0:18:42.000
<v Speaker 1>our new resident in town of DC, one Kyley Line.

0:18:42.000 --> 0:18:43.720
<v Speaker 1>So we miss a lot from New York, but doing

0:18:43.720 --> 0:18:46.840
<v Speaker 1>amazing work from Washington, including your crypto show, Kayley. Just

0:18:46.840 --> 0:18:49.480
<v Speaker 1>talk to us about actually what felt a lot of

0:18:49.560 --> 0:18:55.200
<v Speaker 1>questioning coming out fighting almost on behalf of Grayscale. Yeah. Really,

0:18:55.240 --> 0:18:57.680
<v Speaker 1>the tone of the three judges on their suppellate court

0:18:57.720 --> 0:19:00.560
<v Speaker 1>today really seems to have shifted the odds of many

0:19:00.560 --> 0:19:03.480
<v Speaker 1>people of Grayscale actually coming out with a victory here.

0:19:03.480 --> 0:19:07.440
<v Speaker 1>Our own analyst to Bloomberg Intelligence and Elliot Stein previously

0:19:07.480 --> 0:19:10.439
<v Speaker 1>had a sixty percent chance on the SEC being victorious

0:19:10.720 --> 0:19:13.320
<v Speaker 1>in this case. They now actually think it's seventy percent

0:19:13.400 --> 0:19:17.480
<v Speaker 1>odds in favor of Grayscale, because the judges did seem skeptical,

0:19:17.720 --> 0:19:21.439
<v Speaker 1>skeptical of the SEC's argument that bitcoin futures should be

0:19:21.480 --> 0:19:24.399
<v Speaker 1>treated differently than bitcoin spot. Of course, that's the argument

0:19:24.480 --> 0:19:26.840
<v Speaker 1>that Grayscale has been pushing against, saying you should be

0:19:26.920 --> 0:19:30.200
<v Speaker 1>treating futures and spot the same, the same concerns about

0:19:30.240 --> 0:19:33.760
<v Speaker 1>fraud and manipulation. The SEC has should be applicable to both,

0:19:33.800 --> 0:19:36.320
<v Speaker 1>and it did seem like those three judges maybe more

0:19:36.400 --> 0:19:39.439
<v Speaker 1>sympathetic to Grayscale's view. Heading to the market reaction we're

0:19:39.480 --> 0:19:43.119
<v Speaker 1>seeing today. Saw today GBTC up nine point six percent

0:19:43.200 --> 0:19:45.320
<v Speaker 1>on the day, so that discount to its net asset

0:19:45.440 --> 0:19:49.760
<v Speaker 1>value narrowed, Right, the market's going to try and discern

0:19:50.160 --> 0:19:51.920
<v Speaker 1>what the outcome is going to be. Right. There's a

0:19:52.000 --> 0:19:54.439
<v Speaker 1>risk in that, of course, and you know you're always

0:19:54.440 --> 0:19:57.560
<v Speaker 1>hesitant to sale. What would happen if but in the event,

0:19:57.720 --> 0:20:01.720
<v Speaker 1>ruling fools in gray Scales favor. It opens some doors, right,

0:20:01.760 --> 0:20:05.320
<v Speaker 1>What does it mean for them and for this industry? Yeah,

0:20:05.520 --> 0:20:07.879
<v Speaker 1>I mean if is obviously the operative word there, and

0:20:07.880 --> 0:20:10.040
<v Speaker 1>it could still be a while before we ultimately get

0:20:10.080 --> 0:20:12.360
<v Speaker 1>a ruling like second or third quarter. And then when

0:20:12.359 --> 0:20:15.800
<v Speaker 1>we do, it matters what the language and that ruling is.

0:20:15.960 --> 0:20:18.119
<v Speaker 1>Should the court rule in favor of gay Scale and

0:20:18.160 --> 0:20:20.800
<v Speaker 1>put a gray scale and push back against the SEC's

0:20:20.840 --> 0:20:24.040
<v Speaker 1>rejection of this application, Does it actually force them into

0:20:24.080 --> 0:20:26.240
<v Speaker 1>accepting it or could it leave a door open for

0:20:26.320 --> 0:20:29.040
<v Speaker 1>the SEC to slap it down another way? That will

0:20:29.080 --> 0:20:31.520
<v Speaker 1>be really important. But of course, if gray Scale ultimately

0:20:31.600 --> 0:20:33.679
<v Speaker 1>is able to make this conversion, it would get rid

0:20:33.720 --> 0:20:36.280
<v Speaker 1>of their net asset value discount problem because it would

0:20:36.320 --> 0:20:39.600
<v Speaker 1>allow redemptions. It would potentially turn into an ETF and

0:20:39.640 --> 0:20:42.080
<v Speaker 1>it could mean that other products like it could be

0:20:42.119 --> 0:20:45.440
<v Speaker 1>introduced in the market in the future. And we broke

0:20:45.520 --> 0:20:48.120
<v Speaker 1>just before you came, of course, the news regarding Voyage

0:20:48.760 --> 0:20:51.360
<v Speaker 1>being able to be sold to Binance US. There were

0:20:51.400 --> 0:20:54.000
<v Speaker 1>other assets on deck when it comes to FTX, and

0:20:54.040 --> 0:20:58.480
<v Speaker 1>actually it looks as though they're delaying the auction. Briefly, Yeah,

0:20:58.600 --> 0:21:00.960
<v Speaker 1>ledger X, which was their of it IF's platform. It

0:21:01.000 --> 0:21:03.320
<v Speaker 1>was actually one of the few areas of the FTX

0:21:03.320 --> 0:21:06.359
<v Speaker 1>empire that remains solvent, had its auction delayed from today

0:21:06.600 --> 0:21:09.280
<v Speaker 1>to March twenty second and clear the reason why. But

0:21:09.320 --> 0:21:12.879
<v Speaker 1>that's something we're going to have to following those k lines.

0:21:13.000 --> 0:21:15.320
<v Speaker 1>Our Voice, Finn red Voice add in DC, thank you

0:21:23.760 --> 0:21:26.159
<v Speaker 1>my fashion til. The US claims that it seeks to

0:21:26.240 --> 0:21:30.120
<v Speaker 1>outcompete China, but does not seek conflict. Yet in reality,

0:21:30.160 --> 0:21:34.200
<v Speaker 1>it's so called competition aims to contain and suppress China

0:21:34.400 --> 0:21:37.399
<v Speaker 1>in all respects and get the two countries locked in

0:21:37.440 --> 0:21:41.359
<v Speaker 1>a zero sum game. Welcome back to Room Technology. I'm

0:21:41.400 --> 0:21:44.639
<v Speaker 1>conne Hide in New York and Imed Lovelow in San Francisco.

0:21:44.720 --> 0:21:47.560
<v Speaker 1>And that was just China's new foreign minister there calling

0:21:47.960 --> 0:21:51.320
<v Speaker 1>the US approach to Beijing reckless gamble. And this of

0:21:51.359 --> 0:21:53.560
<v Speaker 1>course is sort of put in stark contrast with what

0:21:53.600 --> 0:21:56.320
<v Speaker 1>was happening on the Hill today, Congress moving yet closer

0:21:56.320 --> 0:21:59.680
<v Speaker 1>to restricting access to China's TikTok app with a new

0:21:59.720 --> 0:22:03.960
<v Speaker 1>Bible heartisan bill aim to protect US user data. Clearly,

0:22:03.960 --> 0:22:06.159
<v Speaker 1>the hostility is front and center when it comes to

0:22:06.200 --> 0:22:09.119
<v Speaker 1>trade technology. We've got the perfect guests to discuss it all.

0:22:09.240 --> 0:22:12.399
<v Speaker 1>Paul Triolo, All bright stone Bridge Group, Senior vice president

0:22:12.400 --> 0:22:14.359
<v Speaker 1>of China and Tech Policy. You're about to go out

0:22:14.560 --> 0:22:17.240
<v Speaker 1>to China soon, Paul, just talk to us a little

0:22:17.280 --> 0:22:19.760
<v Speaker 1>bit about, first and foremost what you heard from Chinese

0:22:19.840 --> 0:22:24.120
<v Speaker 1>leadership today. A really tough stance, finally seemingly that they've

0:22:24.320 --> 0:22:27.520
<v Speaker 1>decided to fight far with fire in some way. Yeah,

0:22:27.560 --> 0:22:31.480
<v Speaker 1>I think it's not surprising. UM, this UM, this sort

0:22:31.480 --> 0:22:34.240
<v Speaker 1>of rhetoric has been teaching, has been very careful not

0:22:34.320 --> 0:22:39.840
<v Speaker 1>to use this, this fairly straightforward rhetoric in calling you know,

0:22:39.920 --> 0:22:44.160
<v Speaker 1>calling out the US policy on China. UM. So it's

0:22:44.160 --> 0:22:46.000
<v Speaker 1>not surprising. It has come on the heels, of course,

0:22:46.119 --> 0:22:49.280
<v Speaker 1>of the balloon incident, the cancelation of Secretary of b

0:22:49.280 --> 0:22:51.960
<v Speaker 1>Lincoln's visit to China, and then a whole host of

0:22:52.080 --> 0:22:56.720
<v Speaker 1>US actions, export controls UM and other other restrictions on

0:22:56.840 --> 0:22:59.680
<v Speaker 1>Chinese technology acquisition. And then of course we've had a

0:23:00.000 --> 0:23:04.200
<v Speaker 1>Congress hil the hearings last week, the kick off a

0:23:04.280 --> 0:23:07.560
<v Speaker 1>season of hearings with a House seleuct Committee on China

0:23:07.600 --> 0:23:10.000
<v Speaker 1>for example, which you know, use some pretty harsh rhetorics.

0:23:10.040 --> 0:23:12.639
<v Speaker 1>So it's not surprising to see China push back a

0:23:12.640 --> 0:23:15.080
<v Speaker 1>bit on this, but it is unusual for SEED to

0:23:15.160 --> 0:23:18.600
<v Speaker 1>use such strong language before we get into the tifatat

0:23:18.680 --> 0:23:21.040
<v Speaker 1>and perhaps what's happening in terms of privacy here in

0:23:21.080 --> 0:23:23.679
<v Speaker 1>the US. I'm interested in what you made of the

0:23:23.760 --> 0:23:27.560
<v Speaker 1>shake up when it comes to trying to ensure AI,

0:23:27.640 --> 0:23:31.199
<v Speaker 1>particularly chip making, is front and center for China that

0:23:31.240 --> 0:23:35.280
<v Speaker 1>they don't somehow lose out despite these trade embargoes and

0:23:37.320 --> 0:23:40.240
<v Speaker 1>issues that are put on hold in terms of getting

0:23:40.240 --> 0:23:44.080
<v Speaker 1>hold and access to certain US technologies. Yeah, I mean,

0:23:44.119 --> 0:23:46.399
<v Speaker 1>I think the restructuring that we're seeing coming out of

0:23:46.440 --> 0:23:48.800
<v Speaker 1>the NPC, and of course it's it's early days here,

0:23:49.160 --> 0:23:52.119
<v Speaker 1>it reflects to some degree in the technology sector, this

0:23:52.320 --> 0:23:57.320
<v Speaker 1>recognition that the US is putting increasing pressure on key

0:23:57.440 --> 0:24:00.679
<v Speaker 1>priorities for Beijing, like advanced computing. So we've seen the

0:24:00.760 --> 0:24:03.480
<v Speaker 1>US take action for example and export controls, and there'll

0:24:03.480 --> 0:24:06.080
<v Speaker 1>probably be some restrictions on a bound investment. So I

0:24:06.119 --> 0:24:09.879
<v Speaker 1>think China is still grappling with the full implications of that,

0:24:10.640 --> 0:24:13.120
<v Speaker 1>and there'll be a lot of focused on domestic investment

0:24:13.200 --> 0:24:16.720
<v Speaker 1>in these key herded core technology sectors, for example, like

0:24:16.760 --> 0:24:20.639
<v Speaker 1>semiconductors and artificial intelligence. But I think that that Beijing

0:24:20.760 --> 0:24:24.399
<v Speaker 1>is really really struggling to figure out a way to invest,

0:24:24.560 --> 0:24:27.840
<v Speaker 1>keep investing inst domestic industry and push back probably at

0:24:27.840 --> 0:24:30.679
<v Speaker 1>some point on some of these restrictions we're seeing the

0:24:30.800 --> 0:24:35.920
<v Speaker 1>US erect around China's company's access to critical technologies. Paul,

0:24:35.960 --> 0:24:37.919
<v Speaker 1>as we came on air about thirty minutes ago, a

0:24:37.960 --> 0:24:41.840
<v Speaker 1>headline hit the Bloomberg terminal, a news story She's frustration

0:24:41.880 --> 0:24:45.800
<v Speaker 1>Abiden grows with warning of conflict, and it talks about

0:24:45.840 --> 0:24:48.480
<v Speaker 1>how a lot of the communications coming from the new

0:24:48.520 --> 0:24:52.960
<v Speaker 1>Foreign Minister Gang but actually g himself is under a

0:24:52.960 --> 0:24:56.159
<v Speaker 1>lot of pressure domestically with the economy having to pivot

0:24:56.200 --> 0:25:00.399
<v Speaker 1>policy to be supportive of industries that they have been

0:25:00.600 --> 0:25:02.840
<v Speaker 1>cracking down on for a number of years now. How

0:25:02.840 --> 0:25:06.040
<v Speaker 1>does he manage that process? To your mind, it's a

0:25:06.080 --> 0:25:09.200
<v Speaker 1>good question. It's very complicated. I think at one level,

0:25:09.560 --> 0:25:13.000
<v Speaker 1>coming out of the zero COVID restrictions, China has sort

0:25:13.040 --> 0:25:15.480
<v Speaker 1>of pivoted in the economic and social sphere to show

0:25:15.480 --> 0:25:18.000
<v Speaker 1>that it's open for business. And so part of the

0:25:18.040 --> 0:25:21.680
<v Speaker 1>game is to show foreign investors and businesses that China

0:25:21.800 --> 0:25:24.800
<v Speaker 1>is sort of back on track after some difficult, a

0:25:24.800 --> 0:25:27.720
<v Speaker 1>difficult period of zero COVID lockdown, So that's one issue.

0:25:27.880 --> 0:25:31.520
<v Speaker 1>But at the same time, China is facing the US

0:25:31.600 --> 0:25:36.480
<v Speaker 1>restrictions on technology, and also of course concerns around China's

0:25:36.480 --> 0:25:40.919
<v Speaker 1>continue support for Moscow and talk in Washington and in

0:25:40.920 --> 0:25:44.480
<v Speaker 1>European capitals about the potential for sanctions. So as as

0:25:44.760 --> 0:25:47.920
<v Speaker 1>Sea surveys. The landscape here it's it's opening up and

0:25:49.240 --> 0:25:52.240
<v Speaker 1>trying to portray business as usual, but China is facing

0:25:52.280 --> 0:25:55.639
<v Speaker 1>a lot of pressure for outside pressure that's going to

0:25:55.720 --> 0:25:59.800
<v Speaker 1>push against that. How successful is your mind, is China

0:25:59.800 --> 0:26:03.680
<v Speaker 1>base in leveraging some of the US partners and allies

0:26:03.760 --> 0:26:07.639
<v Speaker 1>in getting around this this technological blockade? You know, it

0:26:07.760 --> 0:26:10.479
<v Speaker 1>seems as if the US is convincing most of the

0:26:10.480 --> 0:26:15.080
<v Speaker 1>Western world to go along with it. That's very much

0:26:15.119 --> 0:26:18.040
<v Speaker 1>a work in progress. It's tricky because in some areas

0:26:18.080 --> 0:26:21.080
<v Speaker 1>like export controls. Of course, there have been intense negotiations

0:26:21.680 --> 0:26:25.200
<v Speaker 1>between the Dutch government and the Japanese government about aligning

0:26:25.520 --> 0:26:27.680
<v Speaker 1>with some of the tough controls that the US put

0:26:27.720 --> 0:26:31.480
<v Speaker 1>on in October. But with all these kinds of collaborations

0:26:31.520 --> 0:26:35.480
<v Speaker 1>between allies that the US is trying to align to

0:26:35.640 --> 0:26:38.399
<v Speaker 1>contain or constrain China and some of these technology areas.

0:26:38.560 --> 0:26:41.280
<v Speaker 1>The devil really is in the details, and it can

0:26:41.320 --> 0:26:44.640
<v Speaker 1>be tricky to get the countries that may have may

0:26:44.680 --> 0:26:48.480
<v Speaker 1>not have similar kinds of export controls or investment restrictions

0:26:48.600 --> 0:26:50.040
<v Speaker 1>to go along with this. So it's going to it's

0:26:50.119 --> 0:26:52.520
<v Speaker 1>very much a work in progress. But yes, clearly China

0:26:52.600 --> 0:26:55.160
<v Speaker 1>is very concerned about this and is working over time

0:26:55.280 --> 0:26:58.280
<v Speaker 1>to try to push, for example, for better relations with

0:26:58.480 --> 0:27:02.000
<v Speaker 1>Europe and try to sort of drive a wedge between

0:27:02.320 --> 0:27:04.800
<v Speaker 1>the US and Europe on some of these issues. Talking

0:27:04.880 --> 0:27:08.440
<v Speaker 1>relations with Europe, byte Dance CEO has been out there

0:27:08.560 --> 0:27:11.840
<v Speaker 1>trying to woo in many ways European regulators, same as

0:27:11.880 --> 0:27:15.159
<v Speaker 1>they have been here in the United States, but different

0:27:15.200 --> 0:27:17.440
<v Speaker 1>tactics being taken on. At the moment, the EU seeds

0:27:17.440 --> 0:27:20.280
<v Speaker 1>to be more inclined to listen to how byte Dance

0:27:20.400 --> 0:27:23.400
<v Speaker 1>might be able to put in place restrictions to data

0:27:23.480 --> 0:27:26.639
<v Speaker 1>flow from TikTok. Use just talk to us about the

0:27:26.760 --> 0:27:29.080
<v Speaker 1>data the privacy argument that's going on here in the

0:27:29.160 --> 0:27:32.800
<v Speaker 1>US vis of each China. Yeah, and obviously TikTok is

0:27:32.840 --> 0:27:35.720
<v Speaker 1>sort of the poster boy for this. So TikTok has

0:27:35.720 --> 0:27:40.840
<v Speaker 1>been very aggressive as part of its negotiations with the

0:27:40.920 --> 0:27:42.760
<v Speaker 1>US government that they've gone on for about two years

0:27:42.760 --> 0:27:46.000
<v Speaker 1>now installed to be more public about the kinds of

0:27:47.080 --> 0:27:50.320
<v Speaker 1>procedures as putting in place to protect US citizen data.

0:27:50.440 --> 0:27:53.119
<v Speaker 1>So over the last month, yes, the TikTok CEO has

0:27:53.160 --> 0:27:56.880
<v Speaker 1>been very outspoken in discussing all the measures they're taking,

0:27:56.920 --> 0:27:59.200
<v Speaker 1>which are pretty considerable. They spent something like one point

0:27:59.280 --> 0:28:02.760
<v Speaker 1>five billion dollars to architect the sort of US enclave

0:28:02.840 --> 0:28:06.679
<v Speaker 1>that protects user data and protects against things like censorship

0:28:06.760 --> 0:28:09.359
<v Speaker 1>and things like and there are also allowing review, for example,

0:28:09.359 --> 0:28:11.639
<v Speaker 1>of their AI algorithm. Um so, but they have a

0:28:11.640 --> 0:28:14.560
<v Speaker 1>tall order to convince the US Congress and others in

0:28:14.800 --> 0:28:17.879
<v Speaker 1>the Biden administration that they're taking enough steps to protect

0:28:17.960 --> 0:28:21.120
<v Speaker 1>US US privacy and US user data. The CEO will

0:28:21.200 --> 0:28:23.720
<v Speaker 1>testify in front of Congress and on March twenty third

0:28:23.800 --> 0:28:25.840
<v Speaker 1>in front of the House Committee, and that will be

0:28:25.880 --> 0:28:30.800
<v Speaker 1>a key indicator of how how successful TikTok sort of

0:28:31.560 --> 0:28:35.800
<v Speaker 1>you know, spin is in terms of convincing US regulators

0:28:36.080 --> 0:28:38.520
<v Speaker 1>that they've taken enough steps to protect US user data.

0:28:38.600 --> 0:28:40.840
<v Speaker 1>The Europeans are also watching this very carefully, of course,

0:28:40.880 --> 0:28:43.320
<v Speaker 1>to see how that comes out whole. With all your

0:28:43.360 --> 0:28:49.040
<v Speaker 1>knowledge of China and its leadership. Are you convinced, Well,

0:28:49.080 --> 0:28:54.200
<v Speaker 1>I've actually I've seen the I've seen the the TikTok proposal,

0:28:54.240 --> 0:28:57.040
<v Speaker 1>and it looks to me like it's pretty it's pretty tough.

0:28:57.200 --> 0:29:01.560
<v Speaker 1>It's it's they decided not to contest the national security

0:29:01.560 --> 0:29:04.680
<v Speaker 1>concerns that the US government was putting forward, and so

0:29:04.720 --> 0:29:08.000
<v Speaker 1>they architected this system using a lot of a very

0:29:08.080 --> 0:29:12.000
<v Speaker 1>capable cybersecurity and other data privacy experts to try to

0:29:12.040 --> 0:29:14.520
<v Speaker 1>address those concerns head on. So at least from what

0:29:14.560 --> 0:29:17.120
<v Speaker 1>I've seen, again, it's it's it's difficult to know the

0:29:17.120 --> 0:29:19.640
<v Speaker 1>full details, but from what I've seen them present, it

0:29:19.680 --> 0:29:23.680
<v Speaker 1>looks like it's it's a pretty serious effort to address

0:29:23.760 --> 0:29:25.720
<v Speaker 1>the concerns. And they spend a lot of money on this,

0:29:25.800 --> 0:29:27.920
<v Speaker 1>I mean, one point five billion dollars and they estimate

0:29:27.960 --> 0:29:30.400
<v Speaker 1>it will take about a billion dollars to run that Enclay,

0:29:30.640 --> 0:29:32.680
<v Speaker 1>and so I think that, you know, that's that's I

0:29:32.720 --> 0:29:35.000
<v Speaker 1>don't know any other social media company that's taken those

0:29:35.080 --> 0:29:38.640
<v Speaker 1>kinds of actions to try to address head on those

0:29:38.640 --> 0:29:42.240
<v Speaker 1>concerns around data privacy and user user data privacy. So

0:29:42.280 --> 0:29:45.320
<v Speaker 1>it's a pretty impressive effort at least so far. The

0:29:45.440 --> 0:29:48.600
<v Speaker 1>question for DC is if it's sufficient poultry. Ali albright

0:29:48.680 --> 0:29:52.080
<v Speaker 1>Stonebridge Greep, Senior Vice President of China and Tape Policy,

0:29:52.080 --> 0:29:56.000
<v Speaker 1>thank you so much. Coming up, Elon Musk took the

0:29:56.080 --> 0:29:59.360
<v Speaker 1>stage at the Morgan Stanley conference in San Francisco. Will

0:29:59.400 --> 0:30:02.240
<v Speaker 1>bring you the big takeaways next, including his thoughts on

0:30:02.320 --> 0:30:05.640
<v Speaker 1>AI and speaking of earlier of AI, we heard from

0:30:05.640 --> 0:30:09.800
<v Speaker 1>Citadel founder Ken Griffin with this horse on this technology,

0:30:11.480 --> 0:30:14.680
<v Speaker 1>this branch of technology has real impact in our business,

0:30:15.640 --> 0:30:17.960
<v Speaker 1>and I'm actually really excited to see how this changes

0:30:18.000 --> 0:30:47.360
<v Speaker 1>the world. Housing and tech are very quote unquote interest

0:30:47.440 --> 0:30:50.600
<v Speaker 1>rate sensitive. Construction and housing I think is obvious when

0:30:50.640 --> 0:30:55.120
<v Speaker 1>you have a short mortgage cycle, but for tech, we

0:30:55.200 --> 0:30:59.160
<v Speaker 1>had a decade long equity availability of capital and that's

0:30:59.160 --> 0:31:01.280
<v Speaker 1>been shut down by the as well, So those are

0:31:01.280 --> 0:31:05.480
<v Speaker 1>going to feel the impacts. First, a macro perspective, JP

0:31:05.560 --> 0:31:08.600
<v Speaker 1>Morgan's Global Wealth Management chief Tom Kennedy earlier on Bloomberg

0:31:08.600 --> 0:31:11.320
<v Speaker 1>Television these thoughts on just how the tech sector is

0:31:11.360 --> 0:31:15.080
<v Speaker 1>currently evolving amid this new interest rate regime. Let's talk

0:31:15.120 --> 0:31:18.080
<v Speaker 1>a little bit more about tech. First up, Apple adding

0:31:18.120 --> 0:31:21.480
<v Speaker 1>a new color to its palette yellow. The company announced

0:31:21.520 --> 0:31:25.040
<v Speaker 1>a yellow version of the iPhone fourteen plus today, adding

0:31:25.080 --> 0:31:29.520
<v Speaker 1>to the existing Midnight Blue, Purple Red, and Starlight options,

0:31:29.960 --> 0:31:33.320
<v Speaker 1>and sticking with new announcements, Sonos is revamping its line

0:31:33.320 --> 0:31:35.800
<v Speaker 1>of home speakers, aiming to go after the market more

0:31:35.840 --> 0:31:38.680
<v Speaker 1>aggressively as well. Of course, Google and Amazon are rolling

0:31:38.680 --> 0:31:40.959
<v Speaker 1>out a fewer new products at the moment. The audio

0:31:41.000 --> 0:31:44.000
<v Speaker 1>company now has two new models, the Era three hundred

0:31:44.200 --> 0:31:46.320
<v Speaker 1>it's a form of advance around sound, and the Era

0:31:46.440 --> 0:31:49.080
<v Speaker 1>one hundred, a replacement for a Sonos one, a key

0:31:49.160 --> 0:31:51.840
<v Speaker 1>rival of course to Apple's Homeporn and Google's nest products,

0:31:51.960 --> 0:31:55.160
<v Speaker 1>as well as the Amazon Echo. And finally, Uber when

0:31:55.160 --> 0:31:57.560
<v Speaker 1>it's launching some new features of its own to make

0:31:57.680 --> 0:32:01.240
<v Speaker 1>airport travel which I've just done Nestra from step by

0:32:01.240 --> 0:32:03.920
<v Speaker 1>step instructions to guide you through the airport to walking

0:32:03.960 --> 0:32:08.520
<v Speaker 1>ETA's It's also expanding availability for Uber Reserve offerings throughout

0:32:08.520 --> 0:32:12.000
<v Speaker 1>the United States and Canada. Meanwhile, Ed, I've got to

0:32:12.040 --> 0:32:14.640
<v Speaker 1>get your take right now on what we get lost

0:32:14.680 --> 0:32:17.520
<v Speaker 1>in the noise sometimes surrounding Elon Musk. But he did

0:32:17.640 --> 0:32:20.480
<v Speaker 1>take to the stage on the menu Shy around Twitter today.

0:32:20.520 --> 0:32:23.480
<v Speaker 1>It's an a Morgan Stanley event. He took to this stage.

0:32:23.480 --> 0:32:26.400
<v Speaker 1>He gave us ten minutes notice, he tweeted a live link,

0:32:26.640 --> 0:32:30.960
<v Speaker 1>and then the Bloomberg newsroom just erupted into motion and

0:32:30.960 --> 0:32:33.480
<v Speaker 1>we gathered the best and brightest across and we did

0:32:33.480 --> 0:32:37.000
<v Speaker 1>a live blog and well, there are a lot of questions,

0:32:37.000 --> 0:32:40.360
<v Speaker 1>everything from when the Twitter executive bench going to be

0:32:40.400 --> 0:32:42.400
<v Speaker 1>as deep as it is is Tesla, what is going

0:32:42.440 --> 0:32:44.360
<v Speaker 1>on with Twitter's debt? How is Twitter going to be

0:32:44.400 --> 0:32:46.920
<v Speaker 1>different to when it was when you required it so

0:32:47.040 --> 0:32:52.760
<v Speaker 1>much to discuss. Unfortunately, my editor and friend and co

0:32:53.080 --> 0:32:56.280
<v Speaker 1>sufferer through the process, Sarah Fryer, joins me on set.

0:32:56.320 --> 0:32:59.280
<v Speaker 1>There were a lot of takeaways you and I wrote

0:32:59.320 --> 0:33:01.360
<v Speaker 1>about a number of them. One was the debt. I

0:33:01.400 --> 0:33:04.280
<v Speaker 1>think we start there right in this idea that the

0:33:04.320 --> 0:33:06.840
<v Speaker 1>debt is one point five billion dollar annually. But he

0:33:07.040 --> 0:33:11.040
<v Speaker 1>kind of justified the savagery of laying off all of

0:33:11.080 --> 0:33:13.440
<v Speaker 1>those staff. What did he have to say, Well, he said,

0:33:13.480 --> 0:33:17.680
<v Speaker 1>now that debt is about the same as their their

0:33:17.880 --> 0:33:21.720
<v Speaker 1>cash flow, so they're getting to be cash flow equal,

0:33:22.080 --> 0:33:26.120
<v Speaker 1>maybe edging towards cash flow positive, which you know, he

0:33:26.160 --> 0:33:28.640
<v Speaker 1>went on to say that they are now EBBA DA

0:33:28.960 --> 0:33:33.120
<v Speaker 1>positive And I just think that this is part of

0:33:34.000 --> 0:33:36.960
<v Speaker 1>his optimism, and we've seen a lot of optimism from

0:33:37.160 --> 0:33:40.680
<v Speaker 1>from Musk despite spending four to four billion on Twitter,

0:33:40.760 --> 0:33:43.680
<v Speaker 1>despite doing all those layoffs, he really thinks that he

0:33:43.720 --> 0:33:46.360
<v Speaker 1>can turn it around. And and not only does he

0:33:46.440 --> 0:33:48.400
<v Speaker 1>think he can make a cash flow positive, he thinks

0:33:48.400 --> 0:33:52.040
<v Speaker 1>that he can rake in more from Twitter's advertisers. We

0:33:52.040 --> 0:33:54.360
<v Speaker 1>actually kind of learned a little bit about how he's

0:33:54.440 --> 0:33:57.000
<v Speaker 1>measuring success at Twitter, and you know, you know the

0:33:57.040 --> 0:34:00.400
<v Speaker 1>social media landscape so well, he said, don't worry about

0:34:00.440 --> 0:34:03.640
<v Speaker 1>monthly or daily active users. Look at US hours. I

0:34:03.680 --> 0:34:06.520
<v Speaker 1>think he said, one hundred and thirty million US hours

0:34:06.560 --> 0:34:09.200
<v Speaker 1>per day is what Twitter is hitting currently. What does

0:34:09.200 --> 0:34:11.879
<v Speaker 1>he mean by that, Well, what he means is they

0:34:11.960 --> 0:34:15.760
<v Speaker 1>have this platform that really has the pulse of the news.

0:34:15.920 --> 0:34:19.160
<v Speaker 1>It's where everyone's talking about what's happening, and they aren't

0:34:19.200 --> 0:34:22.040
<v Speaker 1>able to monetize that or make money off it through

0:34:22.080 --> 0:34:25.319
<v Speaker 1>advertising at the level that he wants them too. He said,

0:34:25.320 --> 0:34:29.760
<v Speaker 1>actually he was shocked at how poorly they are turning

0:34:29.800 --> 0:34:33.799
<v Speaker 1>that attention into money. And one of the barriers to

0:34:33.840 --> 0:34:36.680
<v Speaker 1>that is he thinks that the ads aren't relevant enough.

0:34:37.560 --> 0:34:40.480
<v Speaker 1>I think partially that's because Twitter just doesn't gather the

0:34:40.520 --> 0:34:45.520
<v Speaker 1>same kinds of data on users that Facebook does that

0:34:45.640 --> 0:34:48.400
<v Speaker 1>other companies are able to based on their activity. And

0:34:48.800 --> 0:34:51.759
<v Speaker 1>then the other factor is that there is this big

0:34:51.840 --> 0:34:56.080
<v Speaker 1>issue about what advertisers called brand safety, which is that

0:34:56.320 --> 0:35:00.920
<v Speaker 1>we don't want ads appearing next to the lab this tragedy,

0:35:01.080 --> 0:35:05.840
<v Speaker 1>or even next to hateful commentary what people are saying

0:35:05.880 --> 0:35:09.239
<v Speaker 1>that that may you may just don't don't want to

0:35:09.280 --> 0:35:12.439
<v Speaker 1>sell next to that. In Twitter, because it's a place

0:35:12.480 --> 0:35:14.720
<v Speaker 1>for the news, is also the place for a lot

0:35:14.760 --> 0:35:18.680
<v Speaker 1>of that kind of content that that perhaps is not

0:35:18.760 --> 0:35:23.480
<v Speaker 1>as inspiring. You know, don't necessarily want to think about

0:35:24.040 --> 0:35:26.080
<v Speaker 1>where you're going to get your next burger while you're

0:35:26.360 --> 0:35:31.360
<v Speaker 1>watching a tragedy. When we think about oversight in particular

0:35:31.520 --> 0:35:35.480
<v Speaker 1>under Elon Musk's watch and safety in many ways, I

0:35:35.520 --> 0:35:38.200
<v Speaker 1>know European regulators have been thinking about this a lot

0:35:38.280 --> 0:35:41.200
<v Speaker 1>and looking towards some new laws that are going to

0:35:41.239 --> 0:35:43.759
<v Speaker 1>put into place to protect consumers come twenty twenty four.

0:35:43.800 --> 0:35:46.440
<v Speaker 1>But it looks as the USFTC, the Federal Trade Commission,

0:35:46.480 --> 0:35:49.680
<v Speaker 1>also plans to depose Elon Musk as part of its probe. Right,

0:35:49.719 --> 0:35:52.719
<v Speaker 1>there are a lot of people interested in this. Yeah,

0:35:52.800 --> 0:35:56.319
<v Speaker 1>I think that this is a company that is going

0:35:56.360 --> 0:35:58.200
<v Speaker 1>to come under a lot of scrutiny in part because

0:35:58.200 --> 0:36:01.640
<v Speaker 1>of the layoffs. You're cutting a lot of staff that

0:36:01.840 --> 0:36:05.799
<v Speaker 1>previously We're hired because of of what regulators wanted. They

0:36:05.800 --> 0:36:09.520
<v Speaker 1>wanted somebody to work on harmful content, to work on

0:36:10.239 --> 0:36:14.319
<v Speaker 1>taking down information operations from from foreign operatives of the

0:36:14.400 --> 0:36:18.120
<v Speaker 1>like that that tried to influence the twenty sixteen presidential election.

0:36:18.320 --> 0:36:21.200
<v Speaker 1>I mean, there were people in place because they were

0:36:21.280 --> 0:36:24.080
<v Speaker 1>needed at the time. And Twitter is going to have

0:36:24.120 --> 0:36:27.319
<v Speaker 1>to untangle, you know, did we cut too deep? Did

0:36:27.400 --> 0:36:30.200
<v Speaker 1>we do we get rid of people that were there

0:36:30.200 --> 0:36:34.360
<v Speaker 1>for a reason? Um and and it's gonna be tough

0:36:34.440 --> 0:36:37.200
<v Speaker 1>to answer regulators, I think Muska saying, you know, we

0:36:37.200 --> 0:36:40.480
<v Speaker 1>will make those hires we need to make of. We

0:36:40.560 --> 0:36:43.680
<v Speaker 1>have a lot of priorities right now. Serifi, thank you

0:36:43.760 --> 0:36:54.600
<v Speaker 1>so much. We were telling you about this earlier in

0:36:54.640 --> 0:36:58.719
<v Speaker 1>the show Salesforce getting in on the generative AI alms race.

0:36:58.840 --> 0:37:01.840
<v Speaker 1>Let's bring it so this cloud CEO Clara shay in

0:37:02.280 --> 0:37:04.520
<v Speaker 1>for more. You've just been on stage, Clara, and you've

0:37:04.520 --> 0:37:09.480
<v Speaker 1>talked about Einstein GPT. Let's start here. Did you partner

0:37:09.520 --> 0:37:12.920
<v Speaker 1>with open ai because it was the best technology or

0:37:12.960 --> 0:37:18.600
<v Speaker 1>because it was good marketing. Einstein GPT we're really thrilled

0:37:18.600 --> 0:37:22.399
<v Speaker 1>to announce today at the Salesforce Trailblazer DX event here

0:37:22.440 --> 0:37:26.000
<v Speaker 1>in San Francisco. Einstein GPT is the world's first AI

0:37:26.360 --> 0:37:30.000
<v Speaker 1>generative AI purpose built for CRM, and we are taking

0:37:30.040 --> 0:37:34.000
<v Speaker 1>an open ecosystem approach. Open AI is our initial partner,

0:37:34.000 --> 0:37:36.680
<v Speaker 1>but we'll be adding additional partners in the coming months.

0:37:38.280 --> 0:37:42.920
<v Speaker 1>How does this improve the offering to your CRM enterprise clients?

0:37:42.960 --> 0:37:46.080
<v Speaker 1>What is it that they're getting out of this now?

0:37:46.120 --> 0:37:50.560
<v Speaker 1>Einstein GPT is really about combining Salesforce's proprietary AI with

0:37:50.640 --> 0:37:56.400
<v Speaker 1>an ecosystem of vetted generative AI partners to create personalized

0:37:56.480 --> 0:38:01.480
<v Speaker 1>content for sellers, service agents, marketers, commerce managers as well

0:38:01.520 --> 0:38:04.360
<v Speaker 1>as IT developers. And it's for the employees, it's about

0:38:04.400 --> 0:38:07.880
<v Speaker 1>making them more productive, and for customers, it's about delivering

0:38:08.160 --> 0:38:12.840
<v Speaker 1>more tailored, relevant experiences. Because I believe you already deliver

0:38:12.920 --> 0:38:16.200
<v Speaker 1>what two hundred billion AIPAD predictions per day anyway, we

0:38:16.239 --> 0:38:19.880
<v Speaker 1>think is customer three sixty Clara, So how does the

0:38:19.960 --> 0:38:22.920
<v Speaker 1>large language model change things up? If you're a user?

0:38:24.080 --> 0:38:26.680
<v Speaker 1>That's a great question. So we've been on this AI

0:38:26.760 --> 0:38:29.600
<v Speaker 1>journey for over seven years now. We introduce the world

0:38:29.840 --> 0:38:33.000
<v Speaker 1>to Einstein in twenty sixteen and there are over two

0:38:33.080 --> 0:38:36.319
<v Speaker 1>hundred and fifteen billion predictions at Einstein. It gives out

0:38:36.360 --> 0:38:40.440
<v Speaker 1>every day today across customer interactions. Einstein GPT is the

0:38:40.480 --> 0:38:46.239
<v Speaker 1>next generation of our Einstein AI and it includes generative technology,

0:38:46.239 --> 0:38:51.360
<v Speaker 1>which means that content gets created for sellers, for example,

0:38:51.600 --> 0:38:55.480
<v Speaker 1>a draft email to a prospective customer for service agents,

0:38:55.719 --> 0:38:59.400
<v Speaker 1>a draft response to a customer service chat or email

0:39:00.040 --> 0:39:05.680
<v Speaker 1>for marketers, generating dynamically generating landing pages and email campaign content.

0:39:06.000 --> 0:39:08.759
<v Speaker 1>The human stays in the loop. They get final say

0:39:08.880 --> 0:39:11.920
<v Speaker 1>before they hit send and open AI say. Look. It

0:39:11.920 --> 0:39:15.680
<v Speaker 1>allows them to learn more about real world usage. That's

0:39:15.680 --> 0:39:19.240
<v Speaker 1>critical to responsible development. I'm interested in that responsible development

0:39:19.239 --> 0:39:23.000
<v Speaker 1>element because it's interesting. Some key financial companies, for example,

0:39:23.040 --> 0:39:27.160
<v Speaker 1>have been limiting their use employees use of chat CHPT

0:39:27.360 --> 0:39:30.560
<v Speaker 1>worried about their IP Basically, how are you going to

0:39:30.640 --> 0:39:33.279
<v Speaker 1>ensure this is a safe space for all your customers

0:39:33.360 --> 0:39:38.400
<v Speaker 1>to work in. It's the difference between consumer and business applications.

0:39:38.400 --> 0:39:40.719
<v Speaker 1>Thus far, a lot of what has been covered in

0:39:40.719 --> 0:39:44.600
<v Speaker 1>the news about generative AI has been consumer applications that

0:39:44.640 --> 0:39:49.319
<v Speaker 1>are open ended and frankly have higher safety and accuracy

0:39:49.320 --> 0:39:52.719
<v Speaker 1>concerns in the business space. We can really focus the

0:39:52.880 --> 0:39:55.920
<v Speaker 1>use case the job to be done on specifically what

0:39:55.960 --> 0:39:59.000
<v Speaker 1>does a salesperson need? Specifically what is a service agent

0:39:59.040 --> 0:40:02.799
<v Speaker 1>need to do his or her job, Clara. The other

0:40:02.800 --> 0:40:06.080
<v Speaker 1>big piece of news is Salesforces Venture m launching a

0:40:06.160 --> 0:40:10.400
<v Speaker 1>new two hundred and fifty million dollar fund specifically targeting

0:40:10.760 --> 0:40:14.000
<v Speaker 1>startups in generative AI. You alluded to it earlier about

0:40:14.040 --> 0:40:16.960
<v Speaker 1>future partnerships, but what are you looking for with that fund?

0:40:17.960 --> 0:40:22.000
<v Speaker 1>That's right, our new generative AI startup fund from Salesforce Ventures.

0:40:22.080 --> 0:40:25.560
<v Speaker 1>It's really focused on investing in and nurturing the next

0:40:25.600 --> 0:40:29.200
<v Speaker 1>generation of AI startups. We believe it's very early days

0:40:29.200 --> 0:40:31.680
<v Speaker 1>and generative AI, and you know, there's a lot that

0:40:31.680 --> 0:40:34.080
<v Speaker 1>we don't know yet, and so being able to have

0:40:34.120 --> 0:40:37.200
<v Speaker 1>an ecosystem play is very important and also to give

0:40:37.239 --> 0:40:41.520
<v Speaker 1>our customers choice ed referenced at the start. This sort

0:40:41.520 --> 0:40:45.120
<v Speaker 1>of feels like a pr offensive around AI or a

0:40:45.160 --> 0:40:48.359
<v Speaker 1>bit of a marketing ploy, but ultimately, you've been doing

0:40:48.360 --> 0:40:51.200
<v Speaker 1>AI for years. Does it frustrate you that suddenly everyone's

0:40:51.200 --> 0:40:54.160
<v Speaker 1>talking about chat GPT? Was it needed this sort of

0:40:54.200 --> 0:40:58.960
<v Speaker 1>conversation I think it's great. It's created consumer excitement in demand.

0:40:59.080 --> 0:41:02.040
<v Speaker 1>My eighty five year neighbor even knows about Chatchi Futi

0:41:02.520 --> 0:41:05.840
<v Speaker 1>and ultimately, you know, businesses they care about AI and

0:41:05.880 --> 0:41:10.640
<v Speaker 1>the context of driving business results, especially in this macro environment.

0:41:10.800 --> 0:41:13.440
<v Speaker 1>How do I close more sales? How do I respond

0:41:13.520 --> 0:41:16.919
<v Speaker 1>to my customer support issues more quickly? And so that's

0:41:16.920 --> 0:41:19.840
<v Speaker 1>our true north in developing these applications in an ethical

0:41:19.880 --> 0:41:24.680
<v Speaker 1>and responsible way. Salesfull Service Cloud CEO Kashy running off

0:41:24.680 --> 0:41:27.120
<v Speaker 1>stage to be with us. We appreciate it, Thank you

0:41:27.160 --> 0:41:29.759
<v Speaker 1>so much. Meanwhile, that does it for this edition of

0:41:29.760 --> 0:41:32.840
<v Speaker 1>Bloomberg Technology ED. But we've got a pretty great lineup

0:41:32.880 --> 0:41:36.000
<v Speaker 1>of top executives tomorrow. It also so it happens to

0:41:36.040 --> 0:41:39.080
<v Speaker 1>be International Women's Day. Yeah, I'm really looking forward to

0:41:39.080 --> 0:41:41.279
<v Speaker 1>some of those conversations, new names, some of them, it's

0:41:41.280 --> 0:41:44.040
<v Speaker 1>some of them long time guests on this program. Don't

0:41:44.040 --> 0:41:47.360
<v Speaker 1>forget been just an incredible newsflow day. You can recap

0:41:47.360 --> 0:41:49.640
<v Speaker 1>all of it in the world of technology on our

0:41:49.680 --> 0:41:53.880
<v Speaker 1>podcast wherever you get your podcasts, Apple, Spotify or iHeart,

0:41:53.880 --> 0:41:57.399
<v Speaker 1>and of course on the Bloomberg terminal. Two days down,

0:41:57.520 --> 0:41:59.920
<v Speaker 1>three to go before the big move. Character this is

0:42:00.040 --> 0:42:05.440
<v Speaker 1>came back m HM.