WEBVTT - Oracle's Record High and X's Right-Wing Lean

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<v Speaker 1>From Mahart where Innovation, money and power Collie in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed loved Love.

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<v Speaker 2>I'm Caroline heid Oft Bloomberg's Weld headquarters in New York

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<v Speaker 2>and Ludlow is off.

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<v Speaker 3>This is Bloombag Technology coming up.

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<v Speaker 2>We break down Oracle's earnings and it's pushed into the

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<v Speaker 2>cloud computing space as a company hits a record high,

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<v Speaker 2>and we talk all things Elon Musk ahead of the

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<v Speaker 2>vote on his fifty six billion dollar pay.

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<v Speaker 3>Package, plus Paramount.

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<v Speaker 2>Walks away from a deal with Skyharts as it heads

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<v Speaker 2>back to square one to find a new bidder.

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<v Speaker 3>We discussed that and so much more throughout.

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<v Speaker 2>This hour, including record high after record high, and a

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<v Speaker 2>new company back on top.

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<v Speaker 3>I focus in on what's happening with Apple.

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<v Speaker 2>Extraordinary move for a company lay at about a three

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<v Speaker 2>trillion dollar market valuation to move twelve percent in two days, following,

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<v Speaker 2>of course WWDC, following the integration of artificial intelligence and

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<v Speaker 2>open AI, and of course it therefore starts to pip

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<v Speaker 2>a company to the post in terms of its overall

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<v Speaker 2>market valuation. Who now reign supreme Apple number one once again,

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<v Speaker 2>take it versus Microsoft. Microsoft, of course had been the

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<v Speaker 2>number one player for several months. Now we're back eclipsing

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<v Speaker 2>it for Apple. Check out the white line suddenly crishendering

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<v Speaker 2>to three point three trillion dollars. We've got also, though

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<v Speaker 2>still gains for the likes of Microsoft, gains the likes

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<v Speaker 2>and video also at about a three trillion dollar market capitalization.

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<v Speaker 2>We are fueling some of these valuations across the board

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<v Speaker 2>and also looking at what happened in for Oracle too,

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<v Speaker 2>another new record high for this particular player after its

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<v Speaker 2>actual earnings show real driving force when it comes to

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<v Speaker 2>its focus on cloud computing.

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<v Speaker 3>How can it.

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<v Speaker 2>Compete versus some of the other players like a Microsoft.

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<v Speaker 2>We're carrying up nine point eight percent on one day

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<v Speaker 2>alone for Oracle after its earnings came out the bell yesterday.

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<v Speaker 3>Let's get straight to it. Body Ford joins us.

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<v Speaker 2>Now for more and a good day for one eleison

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<v Speaker 2>at least, this one being Larry Ellison.

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<v Speaker 3>What did you make of the numbers?

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<v Speaker 4>Yeah? Absolutely, with Oracle, it is all about that cloud

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<v Speaker 4>infrastructure number.

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<v Speaker 1>Right.

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<v Speaker 4>We've seen across software in recent weeks that it's been

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<v Speaker 4>really difficult for those selling applications. Lucky for Oracle, their

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<v Speaker 4>big growth bet is that infrastructure, right, and so we

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<v Speaker 4>saw them sign a good number of deals. The bookings

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<v Speaker 4>were higher than anticipated, and there was that really important

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<v Speaker 4>partnership deal that Microsoft and open Ai said, Hey, we

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<v Speaker 4>actually don't even have enough capacity. We're going to use

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<v Speaker 4>Oracle's cloud to help train and work with open Ai,

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<v Speaker 4>which that was a very validating point for a lot

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<v Speaker 4>of investors who said that. Okay, I guess what Larry's

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<v Speaker 4>been talking about, that Oracle is the best for AI workloads.

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<v Speaker 4>There's got to be something there.

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<v Speaker 2>Yeah, Software Cat's coming out saying we've had record contract

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<v Speaker 2>sizes being signed in the previous quarter. That's going to

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<v Speaker 2>continue into the second half of the year. Brody, But

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<v Speaker 2>I'm really interested in, well, where is the fly in

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<v Speaker 2>the ointment? What about the focus on healthcare data because

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<v Speaker 2>that is still not growing particularly.

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<v Speaker 4>Yeah, the whole healthcare bet was, for sure, kind of

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<v Speaker 4>not a big part of the earnings.

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<v Speaker 3>Here are funny.

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<v Speaker 4>Worst You know, Oracle purchase Cerner twenty eight billion dollars

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<v Speaker 4>tour or so years ago, so it's at the center

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<v Speaker 4>of our company now.

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<v Speaker 5>It hasn't panned out too well.

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<v Speaker 4>Financially thus far. But investors are saying, hey, you know what,

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<v Speaker 4>if you can clock ninety billion in bookings on cloud infrastructure,

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<v Speaker 4>maybe Cerner doesn't matter so much.

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<v Speaker 2>Well, for sure, markets thinking that Cerner doesn't matter so much.

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<v Speaker 2>At the moment, we're up thirty five billion dollars on

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<v Speaker 2>the day for Oracle and having its well currently training

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<v Speaker 2>at the highest on record brody Ford breaking down the

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<v Speaker 2>numbers for us, we appreciate it turning into the broader

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<v Speaker 2>markets and look, it is not just Oracle at a

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<v Speaker 2>new record high.

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<v Speaker 3>We're across the.

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<v Speaker 2>Board seeing money flowing into equities, into bonds. We're seeing

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<v Speaker 2>S and P five hundred more than a percent point

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<v Speaker 2>a new record high. Fifty four thirty eight is where

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<v Speaker 2>we trade. The NASDAC also powering up one point eight percent.

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<v Speaker 2>Why this is a macro story of the fact that

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<v Speaker 2>CPI print showing a three point four percent year on

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<v Speaker 2>year growth. Infration pressure is therefore the slowest in three years.

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<v Speaker 2>The two year yield absolutely plummets some fifteen basis points.

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<v Speaker 3>We're at four point six eight percent.

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<v Speaker 2>As people start to factor in that, yes, we will

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<v Speaker 2>get that rate cup come November, maybe even come September.

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<v Speaker 2>We all wait for the Federal Reserve decision later on

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<v Speaker 2>this afternoon. Bitcoin on the up and up. We're up

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<v Speaker 2>more than four percent, sixty one hundred and fifty six.

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<v Speaker 2>This paints a picture of risk on Sylvia Jabronski CEO

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<v Speaker 2>and CIO at Defiance ETFs to really talk as to

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<v Speaker 2>whether this is a wise decision right now.

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<v Speaker 6>I hete Caroline, well, I think, you know, in terms

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<v Speaker 6>of the Fed today and any potential cuts, I don't

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<v Speaker 6>you know, I don't anticipate anything coming. I do think

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<v Speaker 6>that the data was great, you know, you just kind

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<v Speaker 6>of ran through it. Inflation is clearly on the downtrend.

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<v Speaker 6>This is exactly what the FED wanted to see. It

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<v Speaker 6>gives them that to certainly a breathe and to be

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<v Speaker 6>a little bit less hawkish. But you know, if we

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<v Speaker 6>take anything from fetshair pal, it's that he's looking for.

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<v Speaker 7>More data before they make a decision.

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<v Speaker 6>So I think, you know, the call will be a

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<v Speaker 6>little bit of nine and won't crash the markets like

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<v Speaker 6>it has in you know, a few months past, and

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<v Speaker 6>so that's a good thing that we have some.

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<v Speaker 2>Stability there, stability enough to continue to think technology is

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<v Speaker 2>what leads us higher.

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<v Speaker 6>I think that technology is going to continue to lead

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<v Speaker 6>us higher. And you know the reason for that is

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<v Speaker 6>that we're just in the beginning stages.

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<v Speaker 7>Of this AI, you know, the Fourth Industrial Revolution.

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<v Speaker 6>It's only now starting to play into the earnings of

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<v Speaker 6>a lot of the you know mag five, six sevens

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<v Speaker 6>that have been reporting this last quarter.

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<v Speaker 7>So I think it's just in its.

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<v Speaker 6>Infancy in terms of how it's going to impact revenues

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<v Speaker 6>in the bottom line. And we haven't even started to

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<v Speaker 6>talk about how AI is transforming healthcare, how it's going

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<v Speaker 6>to transform you know, aerospace and defense, banking systems and

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<v Speaker 6>things like this, and so the companies who are the

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<v Speaker 6>key ingredients to that revolution are essentially the MAG seven

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<v Speaker 6>So I think they keep going.

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<v Speaker 7>And also, you know, look at the balance sheets. They're

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<v Speaker 7>earning their multiples.

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<v Speaker 6>Earnings projections are set to be about fourteen percent or

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<v Speaker 6>higher for the next couple of years. So, you know,

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<v Speaker 6>I think burning any major change in inflation, any geopolitical evvent,

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<v Speaker 6>you know, politics, of course, I think tech is a

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<v Speaker 6>safe place to play.

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<v Speaker 2>Apple's a weird one, though, because we're not expecting double

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<v Speaker 2>digit growth in revenue. In fact, the market is anticipating

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<v Speaker 2>a three percent increase in revenue for the next fiscal

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<v Speaker 2>coll to Soviet and yet they eclipsed Microsoft back is.

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<v Speaker 3>The most valuable company and rallying an extraordinary twelve percent

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<v Speaker 3>in the last couple of days.

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<v Speaker 6>Yeah, and so Apple hasn't done anything though for a

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<v Speaker 6>couple of years. And it's really interesting because when the

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<v Speaker 6>whole you know, everything was kind of falling apart a

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<v Speaker 6>couple of years ago in twenty twenty two, all the

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<v Speaker 6>tech stocks were kind of you know, down and crashing

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<v Speaker 6>at standpoint, and Apple was the name that was holding

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<v Speaker 6>up the market. This year that shifted to the video

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<v Speaker 6>and you know, here we are in the video is

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<v Speaker 6>still up there and Apple has kind of regained It's

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<v Speaker 6>set on the throne here, you know, next to the

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<v Speaker 6>top players. And I think the story of there is

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<v Speaker 6>you know, pick up in China and then also some

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<v Speaker 6>talks of the AI integration and things like this they're

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<v Speaker 6>finding on the map with that. We just hadn't heard

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<v Speaker 6>anything compelling from them in a long time about that.

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<v Speaker 6>But you know, the big stories and if you start

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<v Speaker 6>getting upgrades on phones because actually this time they are

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<v Speaker 6>different and they have that AI play and then pick

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<v Speaker 6>up in China. You know, Pray deserves a little bit

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<v Speaker 6>of a stock increase there.

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<v Speaker 2>Can you talk us through some of the not just fundamentals,

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<v Speaker 2>but technicals are gonna be at play. As we had

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<v Speaker 2>head towards the end of the first half of the

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<v Speaker 2>year and we get a rebalancing moment in June, we

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<v Speaker 2>saw some big differences in shakeups in market capitalization.

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<v Speaker 3>Where will money move?

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<v Speaker 2>How will that continue to feed the biggest.

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<v Speaker 6>Yeah, I think you know, when you have about ninety

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<v Speaker 6>percent of the growth of you know, S and P

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<v Speaker 6>five hundred coming from four or five names, and then

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<v Speaker 6>you know forty percent of the growth coming from the

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<v Speaker 6>next two behind it, I don't think actually that the

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<v Speaker 6>that the you know, the rebounds will put it into

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<v Speaker 6>into kind of rebalance.

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<v Speaker 7>It'll it'll equalize it a little.

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<v Speaker 6>Bit better on the next rebalance, but it's probably not

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<v Speaker 6>going to change because the top market cap names are

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<v Speaker 6>going to remain the top market cab names and they're

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<v Speaker 6>going to end up leading the index forward. But you know,

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<v Speaker 6>around that that type of you know, around that type

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<v Speaker 6>of trading, when you're selling off a little bit of

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<v Speaker 6>this and taking up a little bit of that, you know,

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<v Speaker 6>you do get some market movement, but I just think

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<v Speaker 6>that they're all they're going to remain the top players

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<v Speaker 6>and there's probably not going to be a huge amount

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<v Speaker 6>of impact from the rebounds coming up.

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<v Speaker 2>Yeah, that all to do with perhaps the technology selects

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<v Speaker 2>sector Spider much being written by boom Bag Intelligence, Sylvia.

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<v Speaker 3>What about your own MtFs? Where's that performed? Where have

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<v Speaker 3>the bets been?

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<v Speaker 8>Right?

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<v Speaker 6>Yeah, so o ours are in line with the market.

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<v Speaker 6>So our two biggest you know, ETF plays or a

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<v Speaker 6>ticker called five G and one called quantum, And essentially

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<v Speaker 6>what they do is they represent AI machine learning and

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<v Speaker 6>then all of the you know, widgets that go into

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<v Speaker 6>supporting that. So five G is the activity technology factor

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<v Speaker 6>of it all.

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<v Speaker 7>You know, you need low.

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<v Speaker 6>Latency obviously to process the data to make driver lest

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<v Speaker 6>cars work and all of that. And you know, we

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<v Speaker 6>don't talk about five G as much as we probably should.

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<v Speaker 6>I think pretty assuming will be talking about sixty actually,

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<v Speaker 6>and quantum is just like it's just benefiting because it's

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<v Speaker 6>all the AI sucks, it's navidea, it's you know, it's

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<v Speaker 6>all the kind of kind of home runs there that

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<v Speaker 6>are lead leading that revolution.

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<v Speaker 7>So that one's just been out of tear for us

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<v Speaker 7>this year, and I believe they're not commodities too right.

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<v Speaker 6>We've got to uranium play out there, and when you

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<v Speaker 6>think about things like uranium and copper and just energy

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<v Speaker 6>in general, the need to you know, process to run

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<v Speaker 6>the goods for AI, those names.

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<v Speaker 3>Play into cryptos. Att Yeah, I.

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<v Speaker 6>Still like crypto, you know, I think it's becoming further

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<v Speaker 6>and further commercialized. I think that there are enough of

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<v Speaker 6>institutional retail players out there that are willing to allocate

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<v Speaker 6>a small percentage of their assets to cryptocurrency. You know,

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<v Speaker 6>it's starting, it's it at some point started to diverge

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<v Speaker 6>from tech. Now it's playing along with tech again this week,

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<v Speaker 6>but it seems.

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<v Speaker 7>To be a forreholding and a lot of portfolios.

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<v Speaker 6>Looks the Billison dollars that flew into the ETFs just

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<v Speaker 6>tell me, tells me that it's around.

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<v Speaker 7>It's around to stay ether and bitcoin in particular.

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<v Speaker 3>Sylvia, it's great to have you back on the show.

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<v Speaker 2>Thank you so much for spending some time with our

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<v Speaker 2>CEO CEO at Defiance ETFs. Those on a tear in

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<v Speaker 2>line with the market mean while coming up Musk's X

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<v Speaker 2>platform gains among gop users.

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<v Speaker 3>We're on that next for our own Kirk Wagner.

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<v Speaker 2>Meanwhile, there is another company that is doing particularly well today.

0:10:29.360 --> 0:10:31.400
<v Speaker 2>In fact, it has been for the last couple of days.

0:10:31.400 --> 0:10:34.680
<v Speaker 2>This on a partnership with Apple. We understand a firm

0:10:34.760 --> 0:10:37.839
<v Speaker 2>is extending its gains after that Apple Pay deal that

0:10:37.920 --> 0:10:40.200
<v Speaker 2>by now pay later company said it's payment products were

0:10:40.240 --> 0:10:42.480
<v Speaker 2>expected to be available in US Apple Pay.

0:10:42.360 --> 0:10:47.640
<v Speaker 3>Users this year. We're up almost nine percent. This is BLUEBG.

0:10:47.320 --> 0:11:02.640
<v Speaker 2>Technology time now for Talking Tech. First up, Paramount chair

0:11:02.800 --> 0:11:05.600
<v Speaker 2>Sharry Redstone has walked away from a deal to sell

0:11:05.600 --> 0:11:08.040
<v Speaker 2>her media empire to David Ellison, the son of The

0:11:08.040 --> 0:11:11.360
<v Speaker 2>Oracle founder. Redstone rejected the latest proposal from Ellison's sky

0:11:11.480 --> 0:11:14.880
<v Speaker 2>Dance on Tuesday after lengthy negotiations. Still there are other

0:11:14.880 --> 0:11:18.439
<v Speaker 2>bidders waiting in the wings, including Apollo Global Management, Seagram's

0:11:18.440 --> 0:11:22.080
<v Speaker 2>heir as Edgar Bronfman, and the independent film producer Stephen Paul.

0:11:22.800 --> 0:11:24.760
<v Speaker 2>Plus a Byte Dance is calling about FO one hundred

0:11:24.800 --> 0:11:26.720
<v Speaker 2>and fifty jobs in its Indonesian e.

0:11:26.600 --> 0:11:27.480
<v Speaker 3>Commerce arm now.

0:11:27.480 --> 0:11:30.440
<v Speaker 2>The move marks the first round of cuts since combining

0:11:30.480 --> 0:11:33.880
<v Speaker 2>its TikTok shop with local rival Tocopedia in that was

0:11:33.880 --> 0:11:35.920
<v Speaker 2>in January, according to people familiar with the matter of

0:11:35.960 --> 0:11:39.280
<v Speaker 2>Bite Dancers reducing staff across its e commerce teams, including

0:11:39.320 --> 0:11:43.880
<v Speaker 2>advertising and operations, and former President Donald Trump met with

0:11:44.000 --> 0:11:47.160
<v Speaker 2>several bitcoin miners and is mar a Lago estate Tuesday night.

0:11:47.280 --> 0:11:49.760
<v Speaker 3>That's according to the executive chairman of Queensbark.

0:11:50.160 --> 0:11:53.000
<v Speaker 2>Trump told attendees that he loves script are currency, said

0:11:53.000 --> 0:11:55.719
<v Speaker 2>it had been an advocate for miners if he retakes

0:11:55.920 --> 0:11:59.719
<v Speaker 2>a White House. Now, staying in politics and with it,

0:12:00.160 --> 0:12:03.120
<v Speaker 2>social media platform X formerly known as Twitter, of course,

0:12:03.280 --> 0:12:06.960
<v Speaker 2>has now grown in popular popularity among conservative users now.

0:12:07.000 --> 0:12:09.240
<v Speaker 2>According to a new PE research study, the number of

0:12:09.280 --> 0:12:12.800
<v Speaker 2>Republican users have more than tripled since Elon Musk's purchase

0:12:12.880 --> 0:12:15.439
<v Speaker 2>of the site back in October twenty twenty two, joining

0:12:15.520 --> 0:12:18.120
<v Speaker 2>us now being mos Kurt Wagner and a surprise to.

0:12:18.160 --> 0:12:21.680
<v Speaker 9>You, No, I don't think so. I think you know

0:12:21.720 --> 0:12:24.000
<v Speaker 9>when you look at what this report came out with,

0:12:24.080 --> 0:12:27.480
<v Speaker 9>this idea that X is becoming much more popular with

0:12:27.600 --> 0:12:30.600
<v Speaker 9>the political right, it sort of confirms what I think

0:12:30.640 --> 0:12:33.439
<v Speaker 9>we've all seen anecdotally for the last couple of years, right,

0:12:33.520 --> 0:12:36.440
<v Speaker 9>and that's led by the new owner, of course, Elon Musk,

0:12:36.480 --> 0:12:39.520
<v Speaker 9>who has been very vocal that the company he bought

0:12:39.559 --> 0:12:43.960
<v Speaker 9>he thought was very left of center politically and that

0:12:44.000 --> 0:12:46.120
<v Speaker 9>he wanted to move it more to the center and

0:12:46.160 --> 0:12:48.440
<v Speaker 9>to the right. And it's also been you know, his

0:12:48.440 --> 0:12:52.280
<v Speaker 9>own actions right reinstating President Trump, building relationships with other

0:12:52.400 --> 0:12:54.960
<v Speaker 9>right wing kind of leaders around the world in Argentina

0:12:55.000 --> 0:12:56.960
<v Speaker 9>and Brazil in places like that. So he's sort of

0:12:57.000 --> 0:12:59.800
<v Speaker 9>setting the stage and setting the example, I would say,

0:13:00.120 --> 0:13:02.000
<v Speaker 9>or you know, what he wants X to be. And

0:13:02.040 --> 0:13:04.400
<v Speaker 9>we're seeing this in the numbers now that it's becoming

0:13:04.480 --> 0:13:08.160
<v Speaker 9>much more popular with that you know, political politically conservative,

0:13:08.440 --> 0:13:09.840
<v Speaker 9>conservative group of people.

0:13:10.600 --> 0:13:16.120
<v Speaker 2>Therefore, are we seeing politically left of center exiting the platform.

0:13:16.720 --> 0:13:19.760
<v Speaker 9>Yeah, well some are exiting, but more than that, you know,

0:13:19.800 --> 0:13:22.480
<v Speaker 9>they're saying that they don't feel welcome. There was a

0:13:22.559 --> 0:13:26.320
<v Speaker 9>higher spike in liberal people who were saying that they

0:13:26.320 --> 0:13:28.480
<v Speaker 9>were more likely to be harassed or bullied on the

0:13:28.559 --> 0:13:32.240
<v Speaker 9>service than those who were conservative. So it's sort of

0:13:32.320 --> 0:13:34.880
<v Speaker 9>switched where. You know, for years, Caroline, as you remember,

0:13:35.160 --> 0:13:37.520
<v Speaker 9>conservatives said, hey, Twitter isn't a place where I'm welcome.

0:13:37.559 --> 0:13:39.240
<v Speaker 9>Twitter isn't a place where I can say what I

0:13:39.280 --> 0:13:41.880
<v Speaker 9>want to say. You know, they didn't feel like it

0:13:41.920 --> 0:13:44.880
<v Speaker 9>was their home, and it seems like those roles have

0:13:44.920 --> 0:13:47.600
<v Speaker 9>reversed now. It feels like, you know, the data sort

0:13:47.600 --> 0:13:50.600
<v Speaker 9>of suggests the conservatives believe that X is the place

0:13:50.640 --> 0:13:53.200
<v Speaker 9>for them and liberals are feeling less and less welcome there.

0:13:53.600 --> 0:13:55.600
<v Speaker 2>I just want to turn our attention to another one

0:13:55.840 --> 0:13:59.000
<v Speaker 2>of you know, musk companies, SpaceX, and indeed his behavior

0:13:59.000 --> 0:14:01.280
<v Speaker 2>there there's reporting is all coming from the Wall Street

0:14:01.320 --> 0:14:03.000
<v Speaker 2>Journal Cut at the moment. I'm sure you've read the

0:14:03.000 --> 0:14:06.280
<v Speaker 2>story Dan Elamsku has pursued women working at the company,

0:14:06.400 --> 0:14:10.840
<v Speaker 2>apparently for sex, including a former intern, citing AffA David's

0:14:10.880 --> 0:14:14.200
<v Speaker 2>signed by this woman and other interviews. What do you

0:14:14.240 --> 0:14:16.520
<v Speaker 2>make of the reporting coming from the Wall Street Channel today.

0:14:17.880 --> 0:14:20.600
<v Speaker 9>Yeah, I mean it's a bombshell of a story, and

0:14:20.720 --> 0:14:23.200
<v Speaker 9>these allegations are quite serious, right as you point out

0:14:23.200 --> 0:14:26.760
<v Speaker 9>that that Elon, while running this company was seeking relationships,

0:14:26.920 --> 0:14:29.800
<v Speaker 9>sometimes sexual relationships with women who were his subordinates.

0:14:29.800 --> 0:14:30.800
<v Speaker 8>And I think, you.

0:14:30.760 --> 0:14:34.720
<v Speaker 9>Know, it certainly creates these questions about the power dynamics

0:14:34.760 --> 0:14:37.800
<v Speaker 9>of Elon's companies, and not just Space sex, but I

0:14:37.800 --> 0:14:39.880
<v Speaker 9>think it raises questions about all the companies that he's

0:14:39.920 --> 0:14:43.080
<v Speaker 9>running right now, and you know, is he abusing sort

0:14:43.080 --> 0:14:45.840
<v Speaker 9>of his role as the leader, the executive, the person

0:14:45.920 --> 0:14:49.800
<v Speaker 9>with the power to you know, create these relationships and

0:14:50.760 --> 0:14:53.240
<v Speaker 9>you know, these are all again allegations at this point.

0:14:53.240 --> 0:14:56.720
<v Speaker 9>Obviously the reporting looks like it's pretty solid, but I

0:14:56.840 --> 0:14:59.320
<v Speaker 9>just think again, it raises these questions for his other

0:14:59.320 --> 0:15:01.920
<v Speaker 9>companies and also for you know, Tesla right now they're

0:15:01.920 --> 0:15:03.560
<v Speaker 9>about to have a big vote of course on his

0:15:03.640 --> 0:15:06.000
<v Speaker 9>pay package and stuff. You wonder how much any of

0:15:06.080 --> 0:15:08.960
<v Speaker 9>this type of negative press around him could have an

0:15:08.960 --> 0:15:12.240
<v Speaker 9>impact on what happens to him in his other is

0:15:12.280 --> 0:15:13.880
<v Speaker 9>other companies in the Elon universe.

0:15:14.680 --> 0:15:17.160
<v Speaker 2>Wow, you point us forward, Kirk Wagner. We thank you

0:15:17.320 --> 0:15:27.160
<v Speaker 2>very much. Indeed, on all things Eno Muscular Time now

0:15:27.200 --> 0:15:30.480
<v Speaker 2>for a weekly AI and Action segment. Today, we're looking

0:15:30.520 --> 0:15:34.200
<v Speaker 2>at artificial intelligence in the workplace. Now, only seven percent

0:15:34.200 --> 0:15:37.480
<v Speaker 2>of organizations have mature AI implementations.

0:15:38.000 --> 0:15:39.840
<v Speaker 3>Their employees are three times.

0:15:39.640 --> 0:15:43.040
<v Speaker 2>More likely to report productivity gains from using AI and work.

0:15:43.320 --> 0:15:45.120
<v Speaker 2>That's one of the key highlights from a great new

0:15:45.120 --> 0:15:47.680
<v Speaker 2>report coming from Asana. It's all about the impact of

0:15:47.720 --> 0:15:49.400
<v Speaker 2>AI in the workplace, and we're going to bring in

0:15:49.480 --> 0:15:53.000
<v Speaker 2>Asana's head of AI, Page Costello for more on the findings,

0:15:53.120 --> 0:15:55.320
<v Speaker 2>and actually what took me by surprise is people are

0:15:55.680 --> 0:15:58.160
<v Speaker 2>feeling more optimistic about using it in the workplace.

0:15:59.480 --> 0:16:03.880
<v Speaker 10>Absolutely, Executives are very excited, and all the individual contributors

0:16:03.960 --> 0:16:06.400
<v Speaker 10>are also starting to use it quite a bit more.

0:16:06.440 --> 0:16:09.120
<v Speaker 10>One of the biggest things we saw is that more

0:16:09.160 --> 0:16:13.080
<v Speaker 10>than half of knowledge workers report that they're using Generative

0:16:13.080 --> 0:16:13.880
<v Speaker 10>AI weekly.

0:16:14.160 --> 0:16:16.760
<v Speaker 3>That's up thirty six percent in just six months.

0:16:17.040 --> 0:16:20.200
<v Speaker 2>How productive is it making them? What sort of gains

0:16:20.200 --> 0:16:22.200
<v Speaker 2>are those that are being early adopters seeing.

0:16:23.160 --> 0:16:23.640
<v Speaker 3>Yeah, well, we.

0:16:23.680 --> 0:16:26.080
<v Speaker 10>See that the people who use it daily report the

0:16:26.120 --> 0:16:29.480
<v Speaker 10>highest productivity gains. Eighty nine percent of people who use

0:16:29.520 --> 0:16:31.920
<v Speaker 10>it daily, so that they're seeing those gains, and only

0:16:32.000 --> 0:16:34.280
<v Speaker 10>thirty nine percent of people who use it monthly see

0:16:34.320 --> 0:16:36.400
<v Speaker 10>those games. So we know that the more you use it,

0:16:36.440 --> 0:16:37.560
<v Speaker 10>the more value you get.

0:16:37.400 --> 0:16:37.880
<v Speaker 8>Out of it.

0:16:38.200 --> 0:16:41.880
<v Speaker 2>Now, there's perhaps some sort of nervousness still. Certainly, if

0:16:41.920 --> 0:16:44.480
<v Speaker 2>you're a student, for example, using it, you're in many

0:16:44.480 --> 0:16:46.920
<v Speaker 2>ways getting a pushback from those that teach you. What

0:16:47.000 --> 0:16:49.440
<v Speaker 2>about in the workplace and people feeling that you're cutting

0:16:49.440 --> 0:16:51.360
<v Speaker 2>corners all that, actually this is the way you should

0:16:51.400 --> 0:16:51.800
<v Speaker 2>be working.

0:16:52.920 --> 0:16:56.480
<v Speaker 10>Yeah, it's up to organizations leaders to really improve AI

0:16:56.520 --> 0:16:59.840
<v Speaker 10>literacy and create a norm and set of expectations about

0:17:00.040 --> 0:17:02.560
<v Speaker 10>how to use AI. This is a big gap where

0:17:02.560 --> 0:17:05.520
<v Speaker 10>a lot of people aren't receiving training or guidance. Most

0:17:05.640 --> 0:17:09.200
<v Speaker 10>organizations don't have a rollout strategy for how to train

0:17:09.240 --> 0:17:11.960
<v Speaker 10>their employees at onboarding, how to really set up their

0:17:12.080 --> 0:17:16.240
<v Speaker 10>organizations to roll out which vendors and make selections about

0:17:16.240 --> 0:17:17.160
<v Speaker 10>how to get the most.

0:17:17.000 --> 0:17:17.520
<v Speaker 8>Out of AI.

0:17:17.840 --> 0:17:19.640
<v Speaker 10>People want to know that they're using it the right

0:17:19.680 --> 0:17:22.400
<v Speaker 10>way and that they're going to be supported and celebrated

0:17:22.440 --> 0:17:24.080
<v Speaker 10>for using AI for good.

0:17:24.480 --> 0:17:29.600
<v Speaker 2>Why is that infrastructure perhaps not being built around the

0:17:29.640 --> 0:17:32.800
<v Speaker 2>employee basis quickly? Is it nervousness on doing it right

0:17:32.880 --> 0:17:34.919
<v Speaker 2>and with the right guard wails? Is it just a

0:17:35.000 --> 0:17:36.040
<v Speaker 2>lack of knowledge from the top?

0:17:37.320 --> 0:17:40.080
<v Speaker 10>I think there's a bit of curiosity about like do

0:17:40.119 --> 0:17:42.960
<v Speaker 10>we have safe and reliable AI? Is it going to

0:17:43.440 --> 0:17:46.400
<v Speaker 10>give us the right decisions that we can make from

0:17:46.440 --> 0:17:49.679
<v Speaker 10>the data that we're getting. But honestly, I believe that

0:17:49.800 --> 0:17:53.280
<v Speaker 10>a good deal of this is purely uncertainty about what

0:17:53.359 --> 0:17:55.480
<v Speaker 10>it takes to.

0:17:54.840 --> 0:17:55.879
<v Speaker 3>Be a newbie.

0:17:55.960 --> 0:17:59.119
<v Speaker 10>A lot of these organizations and leaders are themselves learning

0:17:59.440 --> 0:18:01.520
<v Speaker 10>and trying to create a plan while learning. At the

0:18:01.520 --> 0:18:05.040
<v Speaker 10>same time, when the terrain is changing so quickly, it's

0:18:05.200 --> 0:18:06.159
<v Speaker 10>really challenging.

0:18:06.760 --> 0:18:09.160
<v Speaker 2>The reason Asana can do this sort of deep dive

0:18:09.200 --> 0:18:12.040
<v Speaker 2>research is because you're a work management platform. You're helping

0:18:12.040 --> 0:18:15.880
<v Speaker 2>companies Team Mobile for example Amazon, manage their own workflows

0:18:15.920 --> 0:18:18.359
<v Speaker 2>and executives therein How are.

0:18:18.280 --> 0:18:20.880
<v Speaker 3>You using it? How are you using it for your

0:18:20.920 --> 0:18:21.560
<v Speaker 3>clients too?

0:18:22.680 --> 0:18:24.960
<v Speaker 10>Yeah, well, I would say a few things.

0:18:25.080 --> 0:18:25.280
<v Speaker 11>One.

0:18:25.480 --> 0:18:28.760
<v Speaker 10>AI literacy is a priority for our organization. We want

0:18:28.800 --> 0:18:31.240
<v Speaker 10>to make sure every employee knows how to use AI

0:18:31.320 --> 0:18:33.400
<v Speaker 10>and how to get the most benefits for their teams.

0:18:33.720 --> 0:18:36.600
<v Speaker 10>We have an AI council that thinks creatively about what

0:18:36.640 --> 0:18:38.360
<v Speaker 10>are the tools that we need to use and how

0:18:38.400 --> 0:18:42.360
<v Speaker 10>to deploy Asauana. So Asana is an enterprise work management

0:18:42.440 --> 0:18:45.080
<v Speaker 10>platform used by eighty percent of the Fortune one hundred

0:18:45.160 --> 0:18:48.080
<v Speaker 10>to drive clarity and accountability at scale. And what we

0:18:48.160 --> 0:18:52.560
<v Speaker 10>see is that people are using Asauana's AI capabilities to

0:18:52.600 --> 0:18:56.639
<v Speaker 10>create quickly create status reports across cross sections of goals

0:18:56.720 --> 0:18:59.480
<v Speaker 10>and portfolios of work, but also work with our new

0:18:59.480 --> 0:19:02.480
<v Speaker 10>at needs where they can delegate specific parts of the

0:19:02.520 --> 0:19:07.280
<v Speaker 10>workflow and jobs to AI in the context of their

0:19:07.320 --> 0:19:11.000
<v Speaker 10>process in order to have more confidence that there's a

0:19:11.080 --> 0:19:13.520
<v Speaker 10>level of determinism that it will do the right thing.

0:19:15.040 --> 0:19:17.760
<v Speaker 2>Let's talk about how ducinations. Let's talk about doing the

0:19:17.840 --> 0:19:19.600
<v Speaker 2>right thing. Have you seen any of that? Have you

0:19:19.640 --> 0:19:22.560
<v Speaker 2>got the statistics of how your own offering teammates is

0:19:23.080 --> 0:19:24.440
<v Speaker 2>working and performing and improving.

0:19:25.600 --> 0:19:29.840
<v Speaker 10>Absolutely, we're paying very close attention to the evaluations of

0:19:29.880 --> 0:19:32.960
<v Speaker 10>different models and how they perform in the context of ASAUNA.

0:19:33.320 --> 0:19:35.760
<v Speaker 10>What I'm most excited about is the way a sauna's

0:19:35.800 --> 0:19:39.760
<v Speaker 10>data model works is there's a context around the people

0:19:39.800 --> 0:19:43.400
<v Speaker 10>doing the work, who's doing what, by when, the timing

0:19:43.480 --> 0:19:47.720
<v Speaker 10>of that work, and the ultimate goals they're laddering towards.

0:19:47.760 --> 0:19:50.399
<v Speaker 10>And so what we see is the context of this

0:19:50.480 --> 0:19:54.199
<v Speaker 10>work helps AI engage with more knowledge. So instead of

0:19:54.280 --> 0:19:57.120
<v Speaker 10>surveying a vast amount of data and trying to surface

0:19:57.160 --> 0:20:00.160
<v Speaker 10>some summary, AI is given a very specific s out

0:20:00.160 --> 0:20:03.000
<v Speaker 10>of instructions. Here's how we work, Here's what we're trying

0:20:03.000 --> 0:20:05.280
<v Speaker 10>to achieve. Here's exactly what I want you to do.

0:20:05.440 --> 0:20:08.639
<v Speaker 10>I want you to triage this request. If there's enough information,

0:20:08.880 --> 0:20:11.040
<v Speaker 10>send it to this team. If there's not enough information,

0:20:11.119 --> 0:20:14.080
<v Speaker 10>put it over here. I know that I need data

0:20:14.160 --> 0:20:17.320
<v Speaker 10>on this. Please do some initial discovery and answer me

0:20:17.359 --> 0:20:20.439
<v Speaker 10>these three questions. These are those sorts of tasks that

0:20:20.760 --> 0:20:23.640
<v Speaker 10>people can confidently ask AI and a SANA to do

0:20:24.080 --> 0:20:25.200
<v Speaker 10>in the context.

0:20:24.800 --> 0:20:26.200
<v Speaker 3>Of where their teams already work.

0:20:26.520 --> 0:20:29.560
<v Speaker 10>ASANA has been thinking for a long time about the

0:20:29.680 --> 0:20:34.119
<v Speaker 10>coordination of work across teams and complex organizations. That's a

0:20:34.200 --> 0:20:38.960
<v Speaker 10>hard job, it's always complicated, but coordinating work with AI

0:20:39.200 --> 0:20:41.639
<v Speaker 10>is the future and there needs to be a structured

0:20:41.680 --> 0:20:44.199
<v Speaker 10>way to understand what have we asked AI to do,

0:20:44.560 --> 0:20:47.080
<v Speaker 10>to do what we asked and see the impact of

0:20:47.119 --> 0:20:47.560
<v Speaker 10>that work.

0:20:47.800 --> 0:20:48.640
<v Speaker 3>But we'll getting better.

0:20:48.720 --> 0:20:52.240
<v Speaker 2>There's prompts Asama's head of AI, Page Casteta, Thanks so

0:20:52.359 --> 0:21:02.080
<v Speaker 2>much for spending some of my pleasity. Welcome back to

0:21:02.119 --> 0:21:04.400
<v Speaker 2>roombag technology. I'm Karen Hide in New Yorker. Quick check

0:21:04.400 --> 0:21:06.840
<v Speaker 2>on these markets which are macro fuel today we have

0:21:06.880 --> 0:21:08.600
<v Speaker 2>record highs across the board, whether you're look at the

0:21:08.640 --> 0:21:10.679
<v Speaker 2>S and P five hundred, whether you're looking at money

0:21:10.680 --> 0:21:14.240
<v Speaker 2>pouring into technology stocks, pouring into the bond market as well.

0:21:14.280 --> 0:21:18.080
<v Speaker 2>Why inflatory pressures they dial down three point four percent

0:21:18.160 --> 0:21:19.879
<v Speaker 2>year on here for a CPI print. That is the

0:21:19.960 --> 0:21:22.680
<v Speaker 2>coolest that we've seen in three years. What space does

0:21:22.680 --> 0:21:24.880
<v Speaker 2>that give the federal reserve to cut rates later into

0:21:24.880 --> 0:21:27.880
<v Speaker 2>the year. We have the FED, of course, announcing their

0:21:27.920 --> 0:21:30.720
<v Speaker 2>decision in but a few hours time. We're currently seeing

0:21:30.760 --> 0:21:32.640
<v Speaker 2>bitcoin getting a little bit of a move. Higher risk

0:21:32.640 --> 0:21:34.600
<v Speaker 2>assets push higher three point eight percent.

0:21:34.640 --> 0:21:36.440
<v Speaker 3>Move on to the individual movers, because we've got a

0:21:36.440 --> 0:21:37.280
<v Speaker 3>tussle at the top.

0:21:37.640 --> 0:21:40.760
<v Speaker 2>We've got market capitalizations that are eclipsing more than three trillion,

0:21:40.840 --> 0:21:43.119
<v Speaker 2>and Apple eclipses Microsoft.

0:21:43.280 --> 0:21:44.440
<v Speaker 3>We're back as number one.

0:21:44.440 --> 0:21:47.080
<v Speaker 2>For Apple, We're up another five percent after moving seven

0:21:47.080 --> 0:21:50.959
<v Speaker 2>percent yesterday. Extraordinary move for such a huge weighting of

0:21:51.000 --> 0:21:53.480
<v Speaker 2>these indices. But Microsoft's also at one point two percent.

0:21:53.520 --> 0:21:55.720
<v Speaker 2>It's more than three trillion dollars in terms of market cap.

0:21:55.800 --> 0:21:58.320
<v Speaker 2>So two is Nvidia up almost four percent. It two

0:21:58.400 --> 0:22:01.960
<v Speaker 2>is exceeding three trillion dollar and Tesla look about up

0:22:02.000 --> 0:22:05.080
<v Speaker 2>four point three percent. Interesting calls coming from Kathy Word

0:22:05.119 --> 0:22:07.960
<v Speaker 2>as to where we'll see this price target eventually. Remember

0:22:08.040 --> 0:22:10.160
<v Speaker 2>the call for twenty six hundred is where they see

0:22:10.200 --> 0:22:12.560
<v Speaker 2>it for twenty twenty nine for Arc invest But we've

0:22:12.600 --> 0:22:15.199
<v Speaker 2>got more to digest when it comes to Tesla, and

0:22:15.240 --> 0:22:18.480
<v Speaker 2>it's coming imminently because we've got a shareholder meeting tomorrow

0:22:18.800 --> 0:22:21.600
<v Speaker 2>during which Elon Musk's fifty six billion dollar pay package

0:22:21.680 --> 0:22:25.040
<v Speaker 2>will be debated, it'll be voted on and hearing now

0:22:25.080 --> 0:22:28.320
<v Speaker 2>directly from an investor. Gerbert Kawasaki, CEO and President ros

0:22:28.320 --> 0:22:30.800
<v Speaker 2>Gerber joins us along with our very own Max Chafkin,

0:22:30.880 --> 0:22:33.240
<v Speaker 2>who is all in on Elon Inc. When it comes

0:22:33.240 --> 0:22:37.240
<v Speaker 2>to the podcast around his various companies he controls Ross,

0:22:37.280 --> 0:22:40.880
<v Speaker 2>I go to you first, Are you voting for or against?

0:22:41.480 --> 0:22:44.959
<v Speaker 1>Well, I voted against the pay package mostly because I

0:22:44.960 --> 0:22:48.000
<v Speaker 1>feel like it's a continuation of the disaster of the

0:22:48.000 --> 0:22:51.320
<v Speaker 1>board of directors of Tesla's created by doing the pay

0:22:51.359 --> 0:22:52.960
<v Speaker 1>package wrong on the first time and just trying to

0:22:53.000 --> 0:22:55.760
<v Speaker 1>reratify the same thing. I think is just creating a

0:22:55.760 --> 0:22:58.439
<v Speaker 1>lot more issues and problems than if they would have

0:22:58.480 --> 0:23:01.120
<v Speaker 1>just done a new pay package and done this correctly

0:23:01.160 --> 0:23:04.080
<v Speaker 1>the first time. So you know, at this point, paying

0:23:04.080 --> 0:23:07.760
<v Speaker 1>Elon fifty billion dollars when you've seen the performance of

0:23:07.760 --> 0:23:10.600
<v Speaker 1>the company falter since it's purchase of Twitter and he's

0:23:10.600 --> 0:23:15.359
<v Speaker 1>made really no effort to sell vehicles and a huge

0:23:15.359 --> 0:23:18.280
<v Speaker 1>effort just to get as fifty billion dollars, it really

0:23:18.320 --> 0:23:23.600
<v Speaker 1>is the wrong message to send to shareholders corporate governance. Basically,

0:23:23.600 --> 0:23:26.359
<v Speaker 1>this is a you know case study and how boards

0:23:26.400 --> 0:23:28.880
<v Speaker 1>of directors can be so horrible.

0:23:29.560 --> 0:23:32.880
<v Speaker 3>So horrible. Max your take and returns.

0:23:33.240 --> 0:23:34.760
<v Speaker 2>I want to go to Max Traffick in hair on

0:23:34.800 --> 0:23:36.600
<v Speaker 2>the fact that the share price is still a lot

0:23:36.680 --> 0:23:38.800
<v Speaker 2>higher than it was perhaps back in twenty eighteen, has

0:23:38.800 --> 0:23:40.879
<v Speaker 2>come down from its heavy heights of twenty twenty one,

0:23:40.920 --> 0:23:42.720
<v Speaker 2>when it's a click sing more than four hundred dollars.

0:23:43.040 --> 0:23:48.000
<v Speaker 2>But your perspective here on him being distracted, as Ross talks.

0:23:47.800 --> 0:23:50.160
<v Speaker 12>To, Yeah, I think we're looking at a close vote here,

0:23:50.240 --> 0:23:53.239
<v Speaker 12>because on one hand, you have historically Elon Musk has

0:23:53.280 --> 0:23:56.600
<v Speaker 12>been able to basically get anything he wants from Tesla's investors,

0:23:56.600 --> 0:23:59.479
<v Speaker 12>and there has been this feeling among investors and especially

0:23:59.520 --> 0:24:01.080
<v Speaker 12>among the board, which of course includes a lot of

0:24:01.119 --> 0:24:04.600
<v Speaker 12>Elon musk friends, loyalists, even his brother, that he can

0:24:04.640 --> 0:24:06.720
<v Speaker 12>basically do whatever he wants, whatever he wants is good

0:24:06.720 --> 0:24:09.639
<v Speaker 12>for Tesla. On the other hand, he has not performed

0:24:09.640 --> 0:24:13.639
<v Speaker 12>well by any normal metric as CEO over the last

0:24:13.760 --> 0:24:14.199
<v Speaker 12>year or so.

0:24:14.520 --> 0:24:15.720
<v Speaker 13>You know, the stock is down.

0:24:16.000 --> 0:24:19.080
<v Speaker 12>There are all these distractions, you know, you know, the

0:24:19.119 --> 0:24:21.240
<v Speaker 12>Wall Street Journal story today is just the latest example.

0:24:21.280 --> 0:24:24.320
<v Speaker 13>Right, It's just been a series of kind of.

0:24:24.320 --> 0:24:27.879
<v Speaker 12>Misfires, difficulties with poor stock performance, and at the same

0:24:27.920 --> 0:24:30.760
<v Speaker 12>time Musk is asking for fifty six billion dollars. Now,

0:24:30.800 --> 0:24:33.040
<v Speaker 12>of course he'll say, well, this is an older pay package.

0:24:33.160 --> 0:24:35.480
<v Speaker 13>You look at the you know, five year trajectory. It's great.

0:24:35.680 --> 0:24:37.840
<v Speaker 13>But again not every investor is going to be swayed

0:24:37.840 --> 0:24:38.080
<v Speaker 13>by that.

0:24:38.359 --> 0:24:40.600
<v Speaker 2>Yeah, to be fat, I went from a price of

0:24:40.600 --> 0:24:43.199
<v Speaker 2>about twenty and twenty eighteen RUSS all the way up

0:24:43.200 --> 0:24:46.040
<v Speaker 2>to nearly four hundred and twenty twenty one. I'm interested

0:24:46.200 --> 0:24:49.720
<v Speaker 2>therefore in your few of him as a leader right here,

0:24:49.840 --> 0:24:52.520
<v Speaker 2>right now, He says, Look, if you don't give me

0:24:52.520 --> 0:24:54.560
<v Speaker 2>more control of the company of Tesla, if you don't

0:24:54.560 --> 0:24:56.720
<v Speaker 2>give me this money, I might walk. I might do

0:24:56.800 --> 0:24:59.240
<v Speaker 2>more Ai stuff over XAI. Would that worry.

0:24:58.960 --> 0:25:01.919
<v Speaker 1>You, Well, I think he's already done that in fact,

0:25:02.000 --> 0:25:04.440
<v Speaker 1>so that's why the performance of Tesla's been so poor

0:25:04.480 --> 0:25:07.119
<v Speaker 1>since he purchased Twitter is because he's not working at Tesla.

0:25:07.480 --> 0:25:10.120
<v Speaker 1>You know, he's been you know, we consider him the pigeons.

0:25:10.119 --> 0:25:14.399
<v Speaker 1>CEO now flies in kind of craps on. Everybody flies out,

0:25:14.480 --> 0:25:17.000
<v Speaker 1>and you know, it's just not running the company. Compared

0:25:17.040 --> 0:25:19.560
<v Speaker 1>to twenty eighteen, when he was sleeping there and working

0:25:19.600 --> 0:25:22.919
<v Speaker 1>twenty four to seven to build this wonderful company. So

0:25:23.359 --> 0:25:26.000
<v Speaker 1>you know, I benefited greatly from the success of Tesla,

0:25:26.040 --> 0:25:29.800
<v Speaker 1>but I also took enormous risk investing with with Elon

0:25:29.920 --> 0:25:32.359
<v Speaker 1>over the last ten years, and many thought the company

0:25:32.440 --> 0:25:34.119
<v Speaker 1>was going to go bankrupt five years ago, and I

0:25:34.200 --> 0:25:36.959
<v Speaker 1>supported him through all this. And so the fact that

0:25:37.080 --> 0:25:40.159
<v Speaker 1>I benefited greatly as a shareholder was a byproduct with

0:25:40.200 --> 0:25:42.639
<v Speaker 1>a risk I was willing to take on Elon, and

0:25:42.680 --> 0:25:43.480
<v Speaker 1>that it paid off.

0:25:43.520 --> 0:25:46.000
<v Speaker 5>It was great, But that doesn't change where we are today.

0:25:46.400 --> 0:25:48.240
<v Speaker 1>And that's the issue is what's going to happen in

0:25:48.280 --> 0:25:49.720
<v Speaker 1>Tesla over the next five years.

0:25:50.000 --> 0:25:52.960
<v Speaker 5>Kathy Woods obviously wildly optimistic. But if he leaves the

0:25:53.000 --> 0:25:55.720
<v Speaker 5>company because he doesn't get what he wants, well, where's

0:25:55.720 --> 0:25:57.520
<v Speaker 5>Tesla going to be in five years? Right?

0:25:57.880 --> 0:26:00.200
<v Speaker 1>So the fact that he has so much money, He's

0:26:00.200 --> 0:26:02.520
<v Speaker 1>got eighty ninety one hundred billion dollars in net worth

0:26:02.560 --> 0:26:05.480
<v Speaker 1>in Tesla, but yet that's not incentive enough.

0:26:05.680 --> 0:26:06.880
<v Speaker 5>To work at Tesla.

0:26:06.960 --> 0:26:10.080
<v Speaker 1>I mean, he made over ninety billion dollars just in

0:26:10.160 --> 0:26:14.080
<v Speaker 1>gains from the stock he owned already, So it's not

0:26:14.160 --> 0:26:17.600
<v Speaker 1>like he hasn't benefited greatly from Tesla's success, and so

0:26:17.720 --> 0:26:20.720
<v Speaker 1>this is why this whole thing is outrageous and ultimately

0:26:20.720 --> 0:26:24.600
<v Speaker 1>going to cost shareholders twenty five billion dollars of tax

0:26:24.920 --> 0:26:28.280
<v Speaker 1>that will have to pay for when he gets this award,

0:26:28.320 --> 0:26:31.159
<v Speaker 1>if he gets it, because that's the taxable consequence that

0:26:31.160 --> 0:26:32.320
<v Speaker 1>shareholders are going to have to pay.

0:26:32.320 --> 0:26:34.719
<v Speaker 5>So this is a tough situation for shareholders.

0:26:34.720 --> 0:26:38.720
<v Speaker 2>Interesting context there, Maxy, the shareholders you speak to, the

0:26:38.720 --> 0:26:40.720
<v Speaker 2>way in which you do your reporting for elonin I mean,

0:26:41.080 --> 0:26:42.880
<v Speaker 2>you said it's going to be a close call. Here

0:26:42.920 --> 0:26:45.159
<v Speaker 2>have we heard from some of the big institutions as

0:26:45.200 --> 0:26:47.359
<v Speaker 2>to whether they support him and why would they support him?

0:26:47.440 --> 0:26:50.439
<v Speaker 12>Yeah, Roley speaking, there are some exceptions to this, but

0:26:50.640 --> 0:26:54.000
<v Speaker 12>you have a lot of institutional investors who are opposed

0:26:54.000 --> 0:26:56.520
<v Speaker 12>to the pay package, and then you have a lot

0:26:56.560 --> 0:26:59.439
<v Speaker 12>of retail investors. Basically many of these people are just

0:26:59.560 --> 0:27:02.720
<v Speaker 12>you know, Tesla enthusiasts, people who are who really care

0:27:02.720 --> 0:27:05.040
<v Speaker 12>about the band and really care about Elon Musk, and

0:27:05.040 --> 0:27:08.679
<v Speaker 12>they are by and large supporting Elon Musk at least

0:27:08.760 --> 0:27:12.200
<v Speaker 12>to talk about our reporting and what Elon Musk himself

0:27:12.240 --> 0:27:14.359
<v Speaker 12>is saying, take that with a grain of salt. So

0:27:14.640 --> 0:27:17.040
<v Speaker 12>you have those two things, kind of intention, and the

0:27:17.119 --> 0:27:20.520
<v Speaker 12>question is who shows up to vote, and you know

0:27:20.560 --> 0:27:23.960
<v Speaker 12>how many of them are there. Tesla has been campaigning really,

0:27:24.080 --> 0:27:26.920
<v Speaker 12>really hard over the last couple of weeks. We talked

0:27:26.920 --> 0:27:28.320
<v Speaker 12>about this on the podcast.

0:27:28.480 --> 0:27:29.240
<v Speaker 13>You have videos.

0:27:29.240 --> 0:27:31.800
<v Speaker 12>There's a video of optimists the Tesla robot talking to

0:27:31.840 --> 0:27:34.160
<v Speaker 12>people saying, oh you should you know, vote your shares.

0:27:34.680 --> 0:27:37.520
<v Speaker 12>And as we said on the podcast that dropped yesterday,

0:27:37.600 --> 0:27:39.680
<v Speaker 12>you know, they've been calling Tesla employees. You've seen a

0:27:39.720 --> 0:27:41.919
<v Speaker 12>lot of former Tesla employees show up on Twitter and

0:27:41.920 --> 0:27:42.480
<v Speaker 12>support of this.

0:27:42.680 --> 0:27:43.800
<v Speaker 13>So there's a lot of activity.

0:27:43.800 --> 0:27:45.560
<v Speaker 12>It's almost like a political campaign.

0:27:46.080 --> 0:27:48.360
<v Speaker 3>Yes, yeah, way in hand of us.

0:27:49.080 --> 0:27:49.280
<v Speaker 5>No.

0:27:49.320 --> 0:27:52.359
<v Speaker 1>I mean I've gotten calls and emails and and all

0:27:52.440 --> 0:27:56.160
<v Speaker 1>kinds of ads and and I was like so insulted

0:27:56.560 --> 0:27:59.760
<v Speaker 1>that after a year of saying that Tesla needs PR

0:27:59.800 --> 0:28:02.119
<v Speaker 1>and to Vasley needs ads to sell Model Wise and

0:28:02.200 --> 0:28:05.040
<v Speaker 1>sales going down and down and down, then they pull

0:28:05.080 --> 0:28:08.320
<v Speaker 1>out all the stops for Elon's pay. They have a

0:28:08.359 --> 0:28:12.120
<v Speaker 1>PR team actually working they I mean, I can't even

0:28:12.160 --> 0:28:16.040
<v Speaker 1>tell you how obnoxious it is that this is about

0:28:16.080 --> 0:28:18.879
<v Speaker 1>his pay, the richest man in the world, while the

0:28:18.920 --> 0:28:22.920
<v Speaker 1>company's languishing and can't sell model wise and save their lives,

0:28:23.200 --> 0:28:25.280
<v Speaker 1>and they're discounting and left and right, and they won't

0:28:25.359 --> 0:28:28.959
<v Speaker 1>run an ad. So I think this has become like

0:28:29.000 --> 0:28:32.520
<v Speaker 1>a referendum on Elon, and you know, it really shouldn't

0:28:32.560 --> 0:28:34.680
<v Speaker 1>have been and this is really.

0:28:34.400 --> 0:28:37.360
<v Speaker 5>Just, you know, a horrible situation for Tesla. Cherylders Ross.

0:28:37.400 --> 0:28:41.240
<v Speaker 2>Can I dig in on the PR team working double

0:28:41.280 --> 0:28:44.600
<v Speaker 2>time because they are surely working double time today? And

0:28:44.640 --> 0:28:46.840
<v Speaker 2>there is this Wall Street Journal report which we cited

0:28:46.840 --> 0:28:50.040
<v Speaker 2>earlier in the show, where Elon Musk is being accused

0:28:50.080 --> 0:28:52.720
<v Speaker 2>of having pursued women working over at SpaceX.

0:28:52.840 --> 0:28:54.280
<v Speaker 3>This is Wall Street Journal reporting.

0:28:54.680 --> 0:28:57.840
<v Speaker 2>But does this affect you as a shareholder of Tesla

0:28:58.000 --> 0:28:59.480
<v Speaker 2>in your viewpoint of him as a leader.

0:29:00.320 --> 0:29:02.360
<v Speaker 5>I don't think he's pursuing women.

0:29:02.760 --> 0:29:05.320
<v Speaker 1>I think, you know, I don't know what he really does,

0:29:05.360 --> 0:29:08.080
<v Speaker 1>but I wish he was spending more time with women,

0:29:08.400 --> 0:29:11.120
<v Speaker 1>to be honest, I think that would help him greatly

0:29:11.480 --> 0:29:13.800
<v Speaker 1>and if it was in a positive way. But I

0:29:13.840 --> 0:29:16.040
<v Speaker 1>don't see him as that type of person. I think

0:29:16.040 --> 0:29:19.680
<v Speaker 1>he's very very focused on his goals, which is getting

0:29:19.680 --> 0:29:24.200
<v Speaker 1>off Earth, replacing the human race with robots, and living

0:29:24.200 --> 0:29:25.280
<v Speaker 1>on Mars by himself.

0:29:25.480 --> 0:29:27.920
<v Speaker 5>So you know, I don't know. I don't know, but

0:29:28.320 --> 0:29:29.360
<v Speaker 5>I don't take these.

0:29:29.280 --> 0:29:33.960
<v Speaker 1>Kind of claims personal claims as valid unless they're actual,

0:29:34.200 --> 0:29:35.479
<v Speaker 1>you know, proof of this stuff.

0:29:35.920 --> 0:29:38.640
<v Speaker 2>Okay, So questioning some of the reporting there, Ross, I'm

0:29:38.640 --> 0:29:42.320
<v Speaker 2>interested in Max and ultimately where we go after this vote,

0:29:42.640 --> 0:29:46.479
<v Speaker 2>because if it's a referendum Moneyla musk himself and it

0:29:46.520 --> 0:29:49.080
<v Speaker 2>doesn't go his way, well, it doesn't actually have or

0:29:49.080 --> 0:29:51.160
<v Speaker 2>even if it does go away, it doesn't actually affect

0:29:51.200 --> 0:29:52.400
<v Speaker 2>whether or not the money goes to him.

0:29:52.400 --> 0:29:53.600
<v Speaker 3>It's still all about a judge.

0:29:53.680 --> 0:29:55.680
<v Speaker 13>Right, Yeah, we talked about this earlier this week. This

0:29:55.800 --> 0:29:57.120
<v Speaker 13>is not a binding vote.

0:29:57.120 --> 0:30:00.760
<v Speaker 12>It also doesn't it doesn't have any legal consequences. Tesla's

0:30:00.760 --> 0:30:03.920
<v Speaker 12>hope here is that the vote is overwhelmingly in support,

0:30:04.200 --> 0:30:06.200
<v Speaker 12>they take it back to the Delaware courts and this

0:30:06.240 --> 0:30:08.440
<v Speaker 12>is part of their appeal and that is the plan

0:30:08.840 --> 0:30:11.720
<v Speaker 12>kind of a novel legal strategy to save this pay

0:30:11.760 --> 0:30:13.360
<v Speaker 12>package so they don't have to renegotiate it.

0:30:13.640 --> 0:30:14.360
<v Speaker 13>I think that the.

0:30:14.440 --> 0:30:18.040
<v Speaker 12>Challenge here, and what will be really difficult for shareholders

0:30:18.120 --> 0:30:20.680
<v Speaker 12>probably Tesla employees as well, is if the vote does

0:30:20.760 --> 0:30:23.880
<v Speaker 12>not go his way, where does it go? Because because

0:30:23.880 --> 0:30:26.360
<v Speaker 12>we know from having followed Elon Musk. He is not

0:30:26.400 --> 0:30:29.800
<v Speaker 12>going to be happy. He's already made threats, you know,

0:30:29.800 --> 0:30:31.680
<v Speaker 12>as Ross is alluding to to to you know, sort

0:30:31.720 --> 0:30:33.440
<v Speaker 12>of essentially take his talents elsewhere.

0:30:34.000 --> 0:30:36.440
<v Speaker 13>And you do wonder if he's faced with a smaller.

0:30:36.160 --> 0:30:38.040
<v Speaker 3>Pay package, well, how much smaller is it going to be?

0:30:38.240 --> 0:30:41.040
<v Speaker 12>And then it becomes this challenge of like keeping Elon

0:30:41.120 --> 0:30:43.840
<v Speaker 12>Musk motivated, which again is funny because he's getting paid

0:30:43.840 --> 0:30:45.720
<v Speaker 12>a lot of money one way or the other. And

0:30:45.760 --> 0:30:48.080
<v Speaker 12>he's also said that Tesla, you know, is his life's work.

0:30:48.320 --> 0:30:51.440
<v Speaker 12>On the other hand, Ai is very hot, he has XAI.

0:30:51.720 --> 0:30:54.560
<v Speaker 12>You know, there is there is this threat, so you

0:30:54.960 --> 0:30:57.200
<v Speaker 12>worry if you're an investor, that he's going to like

0:30:57.240 --> 0:31:00.280
<v Speaker 12>take his ball and go home, and that could we

0:31:00.480 --> 0:31:03.320
<v Speaker 12>too massive upheaval at Tesla if that were to.

0:31:03.240 --> 0:31:07.360
<v Speaker 2>Happen, well said, We thank you, Max. Just go and

0:31:07.400 --> 0:31:09.920
<v Speaker 2>watch that, listen to that podcast, however you consume it

0:31:10.040 --> 0:31:14.040
<v Speaker 2>dropping yesterday, all things elonning Meanwhile, or Gerbert Kawasaki CEO

0:31:14.040 --> 0:31:17.160
<v Speaker 2>and President Ross Gerbert as always animated and thoughtful.

0:31:16.760 --> 0:31:18.560
<v Speaker 3>On the show. We thank you very much for contributing

0:31:18.560 --> 0:31:20.000
<v Speaker 3>ahead of We're a vote.

0:31:20.000 --> 0:31:22.640
<v Speaker 2>You already said you said no to Meanwhile, coming up,

0:31:22.720 --> 0:31:24.959
<v Speaker 2>we're going to be joined by Susan Lyme from BBG

0:31:25.120 --> 0:31:25.600
<v Speaker 2>Ventures on.

0:31:25.600 --> 0:31:29.000
<v Speaker 3>The heels of its second annual Accelerate Summit all Things

0:31:29.160 --> 0:31:30.120
<v Speaker 3>Private Companies.

0:31:30.320 --> 0:31:41.280
<v Speaker 2>That's next the Bluebog Technology.

0:31:40.880 --> 0:31:43.800
<v Speaker 3>Time for VC Spotlight. Let's talk early stage investing now.

0:31:43.920 --> 0:31:47.560
<v Speaker 2>Susan Lyne, co founder managing partner of BBG Ventures in

0:31:47.640 --> 0:31:50.959
<v Speaker 2>town showing up of course with the annual Accelerate Summit,

0:31:50.960 --> 0:31:53.720
<v Speaker 2>which is just taking place, bringing together hundreds of female,

0:31:53.720 --> 0:31:56.920
<v Speaker 2>diverse founders across the country to come here to New

0:31:56.960 --> 0:31:59.760
<v Speaker 2>York to talk about raising money, to talk about lessons

0:31:59.840 --> 0:32:01.760
<v Speaker 2>learn as founders to help.

0:32:01.640 --> 0:32:04.560
<v Speaker 3>Steer each other. One of the key takeaways.

0:32:04.160 --> 0:32:06.239
<v Speaker 2>I mean was everyone on in on AI was that

0:32:06.480 --> 0:32:07.480
<v Speaker 2>the topic digital.

0:32:08.040 --> 0:32:10.239
<v Speaker 11>You know, it was definitely a topic, but it was

0:32:10.320 --> 0:32:13.800
<v Speaker 11>not the topic because I think every company is starting

0:32:13.840 --> 0:32:17.520
<v Speaker 11>out right now is starting with some kind of AI basis,

0:32:18.000 --> 0:32:21.720
<v Speaker 11>so they have that advantage. But the things that people

0:32:21.840 --> 0:32:25.360
<v Speaker 11>talked about more were, for example, product market fit right.

0:32:25.680 --> 0:32:28.440
<v Speaker 11>I mean, it's always a challenge, and one of the

0:32:28.480 --> 0:32:31.640
<v Speaker 11>things we heard over and over again is that you

0:32:31.840 --> 0:32:36.400
<v Speaker 11>think you know what this customer needs. Everybody builds what

0:32:36.520 --> 0:32:39.520
<v Speaker 11>they think is needed.

0:32:39.200 --> 0:32:39.840
<v Speaker 3>In the market.

0:32:39.920 --> 0:32:43.520
<v Speaker 11>And yet what you have to do is constantly be

0:32:43.720 --> 0:32:48.040
<v Speaker 11>making sure that you're getting feedback from that customer, because

0:32:48.680 --> 0:32:51.880
<v Speaker 11>five times out of ten you're off. You're off by

0:32:52.000 --> 0:32:55.520
<v Speaker 11>something right. It may not be completely wrong. But there

0:32:55.560 --> 0:33:00.200
<v Speaker 11>were multiple founders who talked about it, including April co

0:33:00.440 --> 0:33:04.840
<v Speaker 11>who's the CEO of Spring Health, now a multi billion

0:33:04.920 --> 0:33:10.440
<v Speaker 11>dollar Unicorn wholefolio company, a portfolio company, but she talked

0:33:10.440 --> 0:33:13.640
<v Speaker 11>about how they started out and this is a mental

0:33:13.680 --> 0:33:18.400
<v Speaker 11>health company. They deliver precision mental health care right now

0:33:18.880 --> 0:33:22.240
<v Speaker 11>to companies that they started out thinking they were going

0:33:22.280 --> 0:33:25.320
<v Speaker 11>to do software for doctors to be able to figure

0:33:25.360 --> 0:33:29.760
<v Speaker 11>out what kind of antidepressants.

0:33:28.760 --> 0:33:30.440
<v Speaker 3>To prescribe, and they hmitted.

0:33:31.320 --> 0:33:33.520
<v Speaker 11>They would go in, they would pitch, and they would

0:33:33.520 --> 0:33:37.160
<v Speaker 11>get black stares, and they finally were told by someone,

0:33:37.360 --> 0:33:39.600
<v Speaker 11>you should all meet with our HR department because there

0:33:39.600 --> 0:33:42.680
<v Speaker 11>are so many doctors and nurses here who need mental

0:33:42.680 --> 0:33:43.240
<v Speaker 11>health care.

0:33:43.360 --> 0:33:46.120
<v Speaker 2>But do these companies at this moment have the bandwidth

0:33:46.200 --> 0:33:49.320
<v Speaker 2>when I mean bandwidth, the monetary bandwidth to be able

0:33:49.360 --> 0:33:51.840
<v Speaker 2>to pivot to keep iterating, do they have that you

0:33:51.920 --> 0:33:54.560
<v Speaker 2>allocating before they've got product market fit?

0:33:54.640 --> 0:33:57.640
<v Speaker 11>Yeah, we do allocate to companies before they have product

0:33:57.640 --> 0:34:00.280
<v Speaker 11>market fit you have to at seed stage because that's

0:34:00.320 --> 0:34:05.000
<v Speaker 11>what you're doing between seed and Series A. But we

0:34:05.640 --> 0:34:08.680
<v Speaker 11>hope we pick the founders who have the right approach

0:34:08.800 --> 0:34:11.600
<v Speaker 11>to it and who have some data backing up the

0:34:11.680 --> 0:34:16.480
<v Speaker 11>fact that they're on the right track. So you know,

0:34:16.640 --> 0:34:20.120
<v Speaker 11>it's it's not a perfect science, but we have a

0:34:20.120 --> 0:34:20.920
<v Speaker 11>good track record.

0:34:21.239 --> 0:34:23.239
<v Speaker 2>Well, your track record is good, and we know you

0:34:23.320 --> 0:34:27.479
<v Speaker 2>for media expertise for ABC News, we know well ABC TV.

0:34:27.640 --> 0:34:29.520
<v Speaker 2>More broadly, we think of you for AOL, but we

0:34:29.560 --> 0:34:31.160
<v Speaker 2>then think of you from office Stewart, We think of

0:34:31.200 --> 0:34:34.960
<v Speaker 2>you across many a different landscape. Where are you allocating

0:34:35.000 --> 0:34:36.600
<v Speaker 2>into industry groups are most tempting?

0:34:36.719 --> 0:34:39.879
<v Speaker 11>Hmm, it's a really good question. We really look at

0:34:40.200 --> 0:34:46.600
<v Speaker 11>large areas of the economy that need transformation, right, so healthcare, work,

0:34:47.600 --> 0:34:54.480
<v Speaker 11>financial inclusion, climate and underserved consumers all very large markets

0:34:54.520 --> 0:34:58.880
<v Speaker 11>markets that need change.

0:34:58.000 --> 0:34:58.439
<v Speaker 3>They do.

0:34:58.520 --> 0:35:02.280
<v Speaker 2>But climate, and there I say it, backing diverse founders

0:35:03.080 --> 0:35:06.480
<v Speaker 2>has been buffeted around some and political climate. Are you

0:35:06.520 --> 0:35:10.000
<v Speaker 2>still seeing as much LP institutional and interest and allocating

0:35:10.120 --> 0:35:11.799
<v Speaker 2>to solving those sorts of problems?

0:35:11.840 --> 0:35:17.200
<v Speaker 11>We are because I think that smart LPs understand that

0:35:17.320 --> 0:35:21.320
<v Speaker 11>this is not about doing good, This is about looking

0:35:21.360 --> 0:35:25.600
<v Speaker 11>at what the country looks like now, massive demographic shifts

0:35:25.600 --> 0:35:29.480
<v Speaker 11>over the last couple of decades, And if you want

0:35:29.520 --> 0:35:34.760
<v Speaker 11>to back people who are building new companies, you're probably

0:35:34.800 --> 0:35:37.960
<v Speaker 11>going to have a competitive advantage if you are supporting

0:35:38.040 --> 0:35:42.560
<v Speaker 11>people who actually have lived experience with these problems, these issues.

0:35:42.960 --> 0:35:46.000
<v Speaker 2>You had Martha Stewart talking of her lived experience at

0:35:46.000 --> 0:35:49.319
<v Speaker 2>the event yesterday. The lived experience for most allocators right

0:35:49.320 --> 0:35:51.440
<v Speaker 2>now is some pretty heavy valuations if they've got anything

0:35:51.440 --> 0:35:51.680
<v Speaker 2>to do.

0:35:51.640 --> 0:35:52.520
<v Speaker 3>With AI in their name.

0:35:52.600 --> 0:35:55.240
<v Speaker 2>But about the rest of the space, what sort size

0:35:55.360 --> 0:35:57.920
<v Speaker 2>checks are you having to write now for a seed

0:35:57.920 --> 0:35:59.719
<v Speaker 2>stage company, for an early stage.

0:35:59.480 --> 0:36:02.720
<v Speaker 11>Company, Well, well, there are two different questions there. One

0:36:02.800 --> 0:36:07.719
<v Speaker 11>is what size rounds are our seed founders going for?

0:36:07.960 --> 0:36:09.200
<v Speaker 11>And that has gotten bigger.

0:36:09.360 --> 0:36:09.560
<v Speaker 8>Yeah.

0:36:09.600 --> 0:36:12.439
<v Speaker 11>You know, if you look back four or five years ago,

0:36:12.640 --> 0:36:15.719
<v Speaker 11>people were raising for twelve months, eighteen months, so they

0:36:15.719 --> 0:36:18.080
<v Speaker 11>were raising maybe two million dollars, two and a half

0:36:18.160 --> 0:36:20.920
<v Speaker 11>million dollars. Now we see a lot of seed rounds

0:36:20.960 --> 0:36:23.680
<v Speaker 11>that are four or five six million dollars. And that's

0:36:23.800 --> 0:36:26.759
<v Speaker 11>because founders it's not because they're spending more on a

0:36:26.800 --> 0:36:30.439
<v Speaker 11>monthly basis, it's because they know in this market they're

0:36:30.440 --> 0:36:33.720
<v Speaker 11>going to have to prove more, so they need that runway.

0:36:33.760 --> 0:36:37.000
<v Speaker 11>They need twenty four months or thirty months. So we're

0:36:37.000 --> 0:36:39.520
<v Speaker 11>seeing a lot of that. We write checks anywhere from

0:36:39.719 --> 0:36:42.239
<v Speaker 11>five hundred thousand dollars to two million.

0:36:41.920 --> 0:36:42.799
<v Speaker 3>Dollars, let's say.

0:36:43.080 --> 0:36:46.880
<v Speaker 2>And when you get a macro context like inflation starting

0:36:46.880 --> 0:36:49.320
<v Speaker 2>to cool, the Federal Reserve maybe looking to cut rates,

0:36:49.719 --> 0:36:53.120
<v Speaker 2>but record highs for stocks, what does that mean in

0:36:53.160 --> 0:36:55.280
<v Speaker 2>terms of money coming in to bench capital.

0:36:55.440 --> 0:36:59.840
<v Speaker 11>You know, we haven't seen that happen yet, but my

0:37:00.120 --> 0:37:04.080
<v Speaker 11>hope is that once interest rates begin to come down,

0:37:05.080 --> 0:37:08.720
<v Speaker 11>that you will see more capital leaving the public markets

0:37:08.719 --> 0:37:11.960
<v Speaker 11>and coming into the private markets again, well.

0:37:11.880 --> 0:37:13.759
<v Speaker 2>Come to us as and when you're starting to see

0:37:13.760 --> 0:37:16.600
<v Speaker 2>that flow when you're allocating the checks. It's been great

0:37:16.880 --> 0:37:18.640
<v Speaker 2>to see a little bit of the work at the event.

0:37:18.719 --> 0:37:21.160
<v Speaker 3>Yes, sir, we're so glad to have you. We appreciate it.

0:37:21.200 --> 0:37:24.120
<v Speaker 3>Susan Lyne, co founder managing partner at BBG.

0:37:23.960 --> 0:37:35.000
<v Speaker 2>Ventures Parahm Mount Global. The chair Sherry Redstone has decided

0:37:35.040 --> 0:37:38.200
<v Speaker 2>to end those long fought negotiations for a merger between

0:37:38.239 --> 0:37:41.560
<v Speaker 2>the legendary media company and of course David Ellison's Skydance Media.

0:37:42.080 --> 0:37:44.400
<v Speaker 2>That's all according to sources who wrote the story. But

0:37:44.440 --> 0:37:46.719
<v Speaker 2>it mostly for sure, he joins us. Now, I mean

0:37:46.760 --> 0:37:47.920
<v Speaker 2>a saga runs.

0:37:47.600 --> 0:37:52.759
<v Speaker 14>And runs, the Redstones never cease to amaze us, or

0:37:52.960 --> 0:37:57.240
<v Speaker 14>they just don't take the easy option right. She pushed

0:37:57.239 --> 0:37:59.040
<v Speaker 14>for this deal with David Ellison, She seemed to want

0:37:59.040 --> 0:38:00.960
<v Speaker 14>to do a deal Skuide, and she had other options.

0:38:01.000 --> 0:38:04.920
<v Speaker 14>She didn't engage seriously with Apollo, she didn't engage seriously

0:38:05.719 --> 0:38:07.359
<v Speaker 14>with some of the people looking to buy the family

0:38:07.400 --> 0:38:10.000
<v Speaker 14>holding company, and then at the last minute she decided

0:38:10.040 --> 0:38:13.560
<v Speaker 14>she didn't want it. There are a lot of reasons

0:38:13.719 --> 0:38:15.120
<v Speaker 14>that I've heard as to why.

0:38:15.360 --> 0:38:17.440
<v Speaker 3>Yeah, I mean, name like one or two of the

0:38:17.480 --> 0:38:18.080
<v Speaker 3>most important.

0:38:18.760 --> 0:38:23.000
<v Speaker 14>Look one, David Elison and Skydams had to revise their

0:38:23.080 --> 0:38:26.040
<v Speaker 14>deal because other shareholders felt like.

0:38:26.040 --> 0:38:28.120
<v Speaker 8>They were going to get stiff. Sherry Redstone was going.

0:38:28.120 --> 0:38:30.719
<v Speaker 14>To get a good deal, and that new deal would

0:38:30.719 --> 0:38:33.319
<v Speaker 14>have paid her less. It's up for debate how much

0:38:33.360 --> 0:38:35.400
<v Speaker 14>that influenced it. It had to be something of the factor.

0:38:35.480 --> 0:38:37.520
<v Speaker 14>I think she was concerned about being caught up in

0:38:37.560 --> 0:38:40.040
<v Speaker 14>a bunch of litigation, which happened when she put CBS

0:38:40.080 --> 0:38:42.520
<v Speaker 14>and Viacom together. Then I think there's a part of

0:38:42.560 --> 0:38:46.120
<v Speaker 14>her where just look her Famili's controlled this company for decades.

0:38:46.600 --> 0:38:48.520
<v Speaker 8>Is she really ready to give it up? She says

0:38:48.560 --> 0:38:51.560
<v Speaker 8>she is, But she was at the altar and she

0:38:51.560 --> 0:38:52.200
<v Speaker 8>she ran off.

0:38:52.800 --> 0:38:56.279
<v Speaker 2>It's a legacy question many feel, and ultimately whether she's

0:38:57.080 --> 0:39:00.200
<v Speaker 2>increased or eroded value. And at the moment, sadly, some

0:39:00.280 --> 0:39:02.280
<v Speaker 2>analysts out there saying this has just been a complete

0:39:02.320 --> 0:39:03.720
<v Speaker 2>erosion of value for Paramount.

0:39:03.760 --> 0:39:05.720
<v Speaker 3>What the deal could have got for the business.

0:39:06.520 --> 0:39:09.839
<v Speaker 8>Yeah, look, there's no great deal for Paramount right now.

0:39:09.880 --> 0:39:12.720
<v Speaker 14>This is a business that was worth about thirty billion

0:39:12.800 --> 0:39:15.959
<v Speaker 14>dollars when she puts CBS and Buyacom together. It's now

0:39:16.280 --> 0:39:22.520
<v Speaker 14>less than ten depending on how you calculate it. Nobody's

0:39:22.520 --> 0:39:24.480
<v Speaker 14>going to come and give them some huge deal that's

0:39:24.520 --> 0:39:26.319
<v Speaker 14>going to make investors a ton of money. You have

0:39:26.400 --> 0:39:28.640
<v Speaker 14>some investors that maybe just want it to be over

0:39:28.680 --> 0:39:31.960
<v Speaker 14>with and be out of it. And Ellison represented a

0:39:31.960 --> 0:39:34.080
<v Speaker 14>good option in that he was going to inject capital

0:39:34.120 --> 0:39:36.520
<v Speaker 14>into the business, but a complicated option because he wanted

0:39:36.520 --> 0:39:39.040
<v Speaker 14>to merge it with his company, and the valuation on

0:39:39.080 --> 0:39:42.319
<v Speaker 14>his company some people see as being way too high.

0:39:42.440 --> 0:39:45.720
<v Speaker 2>What's interesting is now we wonder who are the players

0:39:45.760 --> 0:39:47.840
<v Speaker 2>left in the game. We had Jeffrey Katzenberg on the

0:39:47.880 --> 0:39:49.960
<v Speaker 2>show a little bit earlier in the week, and I

0:39:50.000 --> 0:39:53.319
<v Speaker 2>asked him about the value of Paramount and he was like, look,

0:39:53.360 --> 0:39:55.000
<v Speaker 2>it still get a good deal. And then you talked

0:39:55.000 --> 0:39:57.280
<v Speaker 2>to some interesting people gathering a room for breakfast.

0:39:57.280 --> 0:39:58.560
<v Speaker 3>Just take a listen, because.

0:39:58.719 --> 0:40:00.040
<v Speaker 5>I will tell you I just so.

0:40:00.080 --> 0:40:02.960
<v Speaker 15>It went to an early breakfast, ran into Bob Iger, Jeffshell,

0:40:03.040 --> 0:40:05.720
<v Speaker 15>and Brian Robbins all in one room at one time,

0:40:06.000 --> 0:40:09.440
<v Speaker 15>the current president of Paramount, Jeff Shell, who's on Redbird,

0:40:09.680 --> 0:40:11.480
<v Speaker 15>and Bob Iger, who's watching it all.

0:40:13.960 --> 0:40:14.920
<v Speaker 9>It's quite a morning.

0:40:16.239 --> 0:40:17.759
<v Speaker 2>So what do you think they were talking about or

0:40:17.840 --> 0:40:20.920
<v Speaker 2>who What do we think ultimately will be deals that

0:40:20.960 --> 0:40:24.400
<v Speaker 2>could be made for individual bits of streaming and other parts.

0:40:24.200 --> 0:40:24.680
<v Speaker 3>Of the asset.

0:40:24.760 --> 0:40:27.360
<v Speaker 14>Well, look, they're going to try to execute a strategy

0:40:27.520 --> 0:40:29.879
<v Speaker 14>that a new owner would have done anyways, right, They're

0:40:29.920 --> 0:40:31.680
<v Speaker 14>going to cut costs, They're going to look for some

0:40:31.719 --> 0:40:34.520
<v Speaker 14>partnerships and streaming to build out the business. But it's

0:40:34.520 --> 0:40:37.160
<v Speaker 14>not clear whether the three guys who are in charge

0:40:37.239 --> 0:40:39.600
<v Speaker 14>right now are going to be there for that long.

0:40:41.040 --> 0:40:43.920
<v Speaker 14>It seems like Sherry Redstone is still interested in maybe

0:40:43.960 --> 0:40:47.040
<v Speaker 14>selling her family holding company, doing a cleaner, simpler deal.

0:40:48.239 --> 0:40:49.839
<v Speaker 8>That's not necessarily great news for the.

0:40:49.880 --> 0:40:51.920
<v Speaker 14>Other shareholders in Paramount, but it would be good for

0:40:51.960 --> 0:40:55.200
<v Speaker 14>her and her family if that happens. You know, if

0:40:55.239 --> 0:40:58.160
<v Speaker 14>she re engages with one of these other bidders, Edgar

0:40:58.200 --> 0:41:00.879
<v Speaker 14>Bronfman with Baine Capital being one of them, their film

0:41:00.880 --> 0:41:04.200
<v Speaker 14>producer Stephen Paul being another, you know, then we were

0:41:04.320 --> 0:41:07.239
<v Speaker 14>signing up for several more weeks of negotiations and speculation

0:41:07.360 --> 0:41:09.640
<v Speaker 14>and stories and all of that. If she decides to

0:41:09.719 --> 0:41:12.160
<v Speaker 14>let the current leadership take a real run at it,

0:41:12.520 --> 0:41:15.319
<v Speaker 14>you know, I think we'll see a painful but necessary

0:41:15.520 --> 0:41:18.319
<v Speaker 14>change in terms of strategy at the company, which just

0:41:18.360 --> 0:41:19.839
<v Speaker 14>can't figure out streaming right now.

0:41:20.280 --> 0:41:22.400
<v Speaker 2>I'm going to let the audience decide which version of

0:41:22.440 --> 0:41:24.640
<v Speaker 2>events you're going to want to happen the most. But

0:41:24.680 --> 0:41:29.239
<v Speaker 2>there's certainly several Netflix documentaries and various movies to be

0:41:29.280 --> 0:41:31.560
<v Speaker 2>made of a saga. Luca Shaw, we appreciate him for it.

0:41:31.840 --> 0:41:33.719
<v Speaker 2>That does it for this edition of Really Meg Technology.

0:41:33.840 --> 0:41:35.680
<v Speaker 2>Do not forget to check out our own podcast. You

0:41:35.719 --> 0:41:37.520
<v Speaker 2>can find it on the terminal, Go check it out

0:41:37.560 --> 0:41:38.040
<v Speaker 2>in line.

0:41:37.880 --> 0:41:38.680
<v Speaker 3>Apple, Spotify.

0:41:38.760 --> 0:41:44.840
<v Speaker 2>iHeart this is pl Meg Technology.