WEBVTT - Anglo Rejects BHP Again , Hwang Trial

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. You're listening to the

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<v Speaker 2>An m and a trade up you on the blocks

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<v Speaker 2>on the rocks here.

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<v Speaker 3>Anglo American rebuffed a sweetened takeover offer from BHP Group

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<v Speaker 3>divided at about forty three billion dollars US, leaving it

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<v Speaker 3>up to the Australia minor to make a better bid

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<v Speaker 3>or lose out of what could be the industry's biggest

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<v Speaker 3>deal in a decade.

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<v Speaker 2>Let's bring in an expert on this stuff.

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<v Speaker 3>Alon Ulsha, Bloomberg Intelligence senior Metals and mining analyst.

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<v Speaker 2>He joins us from London. I did not hire him.

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<v Speaker 3>He's a recent simple check him out here, Aylon, what

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<v Speaker 3>do you got for us?

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<v Speaker 2>What's going on in the global mining space? He says,

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<v Speaker 2>with these names.

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<v Speaker 4>Looking for Copper is the most coveted metal out there

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<v Speaker 4>in the mining industry. It's in short supply, it's expensive

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<v Speaker 4>to build new minds, it's risky to build new mines,

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<v Speaker 4>and demand is set to climb significantly because of applications

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<v Speaker 4>around the energy transition. So mineers are looking for opportunities

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<v Speaker 4>to grow exposure, and that's one of the main reasons

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<v Speaker 4>Beuchp's gone after Anglo American, which Anglo American has been

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<v Speaker 4>around for a while. They've got a bunch of assets

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<v Speaker 4>in they're not just copper. But it's always been a

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<v Speaker 4>difficult business to buy because there's some assets in there

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<v Speaker 4>that are problematic, that are unwanted. They've effectively served as

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<v Speaker 4>poison pulls for a takeover. But buchb has now come

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<v Speaker 4>with us, but it's structured in any interesting way, basically

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<v Speaker 4>saying we'll buy you, but you need to emerge some

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<v Speaker 4>of your South African assets, spin them off to your shareholders,

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<v Speaker 4>and we'll pick up the rest.

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<v Speaker 5>And that therein lies the problem. Like that's why no

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<v Speaker 5>one really wants that for Anglo American, right, because they're saying,

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<v Speaker 5>you go spin this off, then will buy the rest

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<v Speaker 5>of your company. Why don't they just buy the whole

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<v Speaker 5>company and then.

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<v Speaker 6>Sell it off.

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<v Speaker 4>Yeah, you're absolutely right. It's one of the reasons shareholders

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<v Speaker 4>don't seem to like it. It's a complicated structure. It

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<v Speaker 4>basically introduces a whole lot of risk for those shareholders

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<v Speaker 4>that will be inheriting these assets execution risk, value risk.

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<v Speaker 4>But for BHP, it's also a headache that they don't

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<v Speaker 4>want to absorb themselves. I don't want to take it

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<v Speaker 4>on there effectively would be taking on potentially the value

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<v Speaker 4>trap that has been plaguing Anglo American for so many years.

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<v Speaker 4>And remember BHP kind of has withdrawn from South Africa.

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<v Speaker 4>The BHP was until not so recently BHP Bulletin and

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<v Speaker 4>then and that was an acquisition of a business, a

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<v Speaker 4>merger with the business that had a huge South African presence,

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<v Speaker 4>and then they spun it off in South thirty two.

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<v Speaker 4>So there goes to South African assets. So they don't

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<v Speaker 4>really want to be there, and it's kind of understandable.

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<v Speaker 4>South Africa is a difficult place to operate at the moment.

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<v Speaker 2>So for them yourself, well, I.

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<v Speaker 4>Know, I do feel bad saying it, but it's it's

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<v Speaker 4>the truth. It's the truth, and we speak the truth.

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<v Speaker 3>And.

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<v Speaker 4>So it's yeah, I think it's just it's a tough

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<v Speaker 4>it's a tough one for them to get the hit around.

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<v Speaker 2>I think that in.

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<v Speaker 5>Essence, what this just also boils down to, is the

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<v Speaker 5>the money made in discovering new copper assets is minimal,

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<v Speaker 5>Like the hurdle rates really high. So the way to

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<v Speaker 5>do that is you have to buy competitors. It's very

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<v Speaker 5>difficult to get the kind of scale right. Building a

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<v Speaker 5>mind is really hard. There are a lot of different

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<v Speaker 5>labor laws in different countries. Look what happened in South

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<v Speaker 5>America all all of a sudden, like mining just was like,

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<v Speaker 5>know what, we're good?

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<v Speaker 6>Like you can't take any copper out of here? I

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<v Speaker 6>think that was in Peru. Does that just speak to

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<v Speaker 6>that problem? And there? What is? What's the other solution

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<v Speaker 6>to that?

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<v Speaker 5>The geopolitical risk premium for copper is a very different

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<v Speaker 5>proposition than I feel like it's been the last few decades.

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<v Speaker 4>Yeah, that that's absolutely right. I mean, geopolitics has made

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<v Speaker 4>things more difficult, but it's not really new. It's been

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<v Speaker 4>a bit of a slow burn issue. It's also the

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<v Speaker 4>reality is, you know, geologically, it's just it's tough to

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<v Speaker 4>find the deposits that are close to surface in really

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<v Speaker 4>high grades. And those deposits tend not to be in

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<v Speaker 4>the US or Australia. They tend to be in some

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<v Speaker 4>tougher jurisdictions like the Congo, the DRC or in Argentina,

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<v Speaker 4>which is politically seems to be always always in flex.

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<v Speaker 4>So if you want to go after these assets, you

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<v Speaker 4>would have built exposure and build these minds. You need

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<v Speaker 4>to take on that risk, and as you say, the

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<v Speaker 4>hurdle rate needs to be is very high, and at

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<v Speaker 4>current copper prices it probably starts to make sense. But

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<v Speaker 4>just a few months ago before kind of the resurgence

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<v Speaker 4>we'd seen when copper was trading, you know, eight and

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<v Speaker 4>a half thousand dollars a ton minusers couldn't make the

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<v Speaker 4>economics work. Now it's a little bit easy at close

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<v Speaker 4>to ten thousand dollars a ton, but even still there

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<v Speaker 4>in these questions as to how sustainable that price is

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<v Speaker 4>in the near term.

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<v Speaker 3>So Ellen, you know, I'm just putting on my investment

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<v Speaker 3>banker cap here. I think Anglo Americans got a great position.

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<v Speaker 3>They don't have to do anything, and they don't. If

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<v Speaker 3>I were them, I'd be like, no, if you guys

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<v Speaker 3>want us, buy the whole thing and then you deal

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<v Speaker 3>with it, you know, pay me a premium, or I'll

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<v Speaker 3>just stay with my copper. Here, I mean there's really

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<v Speaker 3>no reason for Anglo to cave in here, right.

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<v Speaker 4>Yeah, that seems to be the way they're going for

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<v Speaker 4>the time being. But there is a lot of pressure

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<v Speaker 4>on Anglo Americans. So at the end of last year

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<v Speaker 4>they came out with an investor update. You know, Anglo

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<v Speaker 4>American before the end of last year, before December, was

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<v Speaker 4>the go to play in the mining space for growth.

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<v Speaker 4>They had a great growth profile, that had good projects,

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<v Speaker 4>that had been investing through the cycle, so growth was

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<v Speaker 4>coming in at the right point in the cycle when

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<v Speaker 4>most of their peers had pulled back and had a

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<v Speaker 4>bit of a growth gap. Then came December last year

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<v Speaker 4>investor update and they slashed guidance the board. Share price

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<v Speaker 4>was decimated, and that's why we're in the position that

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<v Speaker 4>we're in now, and it's it's it's shaken the credibility

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<v Speaker 4>or shake the confidence of investors in the in the

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<v Speaker 4>credibility of management. So yes, they can reject this, but

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<v Speaker 4>but the onuses will then to come up with a

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<v Speaker 4>credible strategy to unlock the value in the stock. And

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<v Speaker 4>that's probably actually going to happen tomorrow in some way,

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<v Speaker 4>shape or form. Where they said they are coming out

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<v Speaker 4>with their standalone strategy. So that'll be really interesting to watch.

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<v Speaker 3>All right, we'll circle back with you and see what

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<v Speaker 3>the see what the market thinks about that. Alon Ulsha

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<v Speaker 3>he's his senior Medals and mining analyst Bloomberg Intelligence in London,

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<v Speaker 3>the Pride of South Africa.

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<v Speaker 2>Although it's tough.

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<v Speaker 3>To be a miner, and so I don't know you

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<v Speaker 3>knew all about the mining stuff too, You're not. Oh,

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<v Speaker 3>you're just at the global energy space.

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<v Speaker 7>You know what.

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<v Speaker 5>No, I can all explain you that too, for sure.

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<v Speaker 5>I started in gold, you started that. I went to copper,

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<v Speaker 5>then I went to oil.

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<v Speaker 3>All right, very good stuff. You learn stuff every day.

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<v Speaker 2>Here.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 5>The only big story that we're following is Paul alluded

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<v Speaker 5>to Happy Monday everybody.

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<v Speaker 6>By the way, is.

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<v Speaker 5>Bill Huang's trial on our Keego's capital management. The real issue,

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<v Speaker 5>of course, is that the accusation and what the prosecutors

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<v Speaker 5>are looking at is if he actively lied to the

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<v Speaker 5>banks that were helping him fund these swaps to bet

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<v Speaker 5>on basically ten stocks that came spectaclarly crashing down.

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<v Speaker 6>On him in the last few years.

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<v Speaker 5>Janey Basik is Bloomberg television anchor and she is joining

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<v Speaker 5>us outside of the New York City Federal District Court House.

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<v Speaker 6>Shanellie, what's at stake in this trial?

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<v Speaker 8>Well, there's a lot at stake for Bill Lang and

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<v Speaker 8>of course his chief financial officer, Patrick Halligan, who we're

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<v Speaker 8>being accused here by regulator and of course the Justice

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<v Speaker 8>Department of manipulating the markets of racketeering, wires fraud and

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<v Speaker 8>securities fraud are in particular the charges that they're facing.

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<v Speaker 8>They could face significant jail time depending on how this

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<v Speaker 8>trial goes. Of course they are planning to defend themselves

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<v Speaker 8>quite vigorously here. But there's also what happened, right, We

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<v Speaker 8>know a lot about what happened in the sense of

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<v Speaker 8>the banks had lost billions of dollars off the heels

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<v Speaker 8>of this alex. But remember, as a family office, there

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<v Speaker 8>was not required by means of disclosure for par Kagos

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<v Speaker 8>and Bill Wang in the initial indictment. You did see

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<v Speaker 8>prosecutors not to that fact, but said they did lie

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<v Speaker 8>to the banks and indeed attempt to manipulate the market.

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<v Speaker 8>So it will be a trial unlike we've really seen

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<v Speaker 8>before in the world of white collar crime.

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<v Speaker 2>Chanale.

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<v Speaker 3>The best I can tell from just reading into the

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<v Speaker 3>story is that mister Wang's defense is basically, hey, I'm

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<v Speaker 3>not responsible for the other.

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<v Speaker 2>Sides losses here. They're big boys too.

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<v Speaker 3>Does that does that have mary?

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<v Speaker 8>That is a fair assessment here if you think about

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<v Speaker 8>Credit Suis in its own right, this is not the

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<v Speaker 8>only place they've lost significant money tied.

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<v Speaker 2>To a client.

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<v Speaker 8>You have the banks saying that they were lied to,

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<v Speaker 8>but you have Bill Hung saying, well, okay, his defense

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<v Speaker 8>might bring up Credit Suise his own risk management report

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<v Speaker 8>outlining its own failures in risk management at this point

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<v Speaker 8>in time, So we can see that scuffle between the

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<v Speaker 8>banks and Bill Hung's defense come up into this course

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<v Speaker 8>of this child.

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<v Speaker 6>Yeah.

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<v Speaker 5>See, I think that's so interesting because it really is

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<v Speaker 5>about the banks helping buy a COMCBS issue the shares, right,

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<v Speaker 5>that's one part of investment banking that led to the selloff,

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<v Speaker 5>that led to the margin calls that led to all

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<v Speaker 5>of this unroundling.

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<v Speaker 6>So it's like the two sides shouldn't talk to each other.

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<v Speaker 5>The ones that are working with Bill Huang and the

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<v Speaker 5>ones that are helping buy ACOMCBS issue shares. But in

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<v Speaker 5>this case they probably should have been able to talk

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<v Speaker 5>to each other to see what each other was doing.

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<v Speaker 8>Yeah, let's go back and talk a little bit about

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<v Speaker 8>what prompted all of this.

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<v Speaker 6>It's the idea that he became.

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<v Speaker 8>A family office with an expected one point five billion

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<v Speaker 8>in capital to more than thirty five billion in capital

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<v Speaker 8>in a very short amount of time. And the reason

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<v Speaker 8>he was able to amass these massive positions was really

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<v Speaker 8>buying a lot of these shares on swap agreements. And

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<v Speaker 8>what happened was he had amassed size so sizable in

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<v Speaker 8>ViacomCBS that when the banks went on behalf of the

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<v Speaker 8>company to try to offload or sell more shares on

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<v Speaker 8>behalf of Viacom, that's when that created pressure on the shares.

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<v Speaker 8>That's when the banks started to really look at our chagos,

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<v Speaker 8>how much they were holding their exposures and the needs

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<v Speaker 8>for potential margin calls. Interestingly, on Monday, after those opening arguments,

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<v Speaker 8>we may hear from the first witness for this trial,

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<v Speaker 8>and it may be a counter party at UBS that

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<v Speaker 8>was behind one of those first early calls that really

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<v Speaker 8>talked through those margin calls and how quickly our Chagos

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<v Speaker 8>would be able to put those up. So what do

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<v Speaker 8>they know and not know? What do they need to

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<v Speaker 8>know and what do they need to know by law?

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<v Speaker 8>I think that that's the critical part of this discussion here.

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<v Speaker 3>He Shanan, just real quickly, what's the time you hear?

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<v Speaker 3>How long will this trial is? How long is it

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<v Speaker 3>expected to last?

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<v Speaker 8>It will be weeks. It will be a number of weeks.

0:11:20.800 --> 0:11:23.199
<v Speaker 8>So we're expected to hear not only from two of

0:11:23.240 --> 0:11:26.640
<v Speaker 8>his former employees, remember two of them also already pled guilty,

0:11:27.040 --> 0:11:29.560
<v Speaker 8>but there could be a list of more than two

0:11:29.800 --> 0:11:34.560
<v Speaker 8>dozen people from counterparties these banks that might step forward

0:11:34.559 --> 0:11:35.480
<v Speaker 8>in the wake of this trial.

0:11:35.760 --> 0:11:38.120
<v Speaker 3>In the course of this trial, Hi, shanaa Bassek, thank

0:11:38.160 --> 0:11:39.520
<v Speaker 3>you so much for joining a Shana on the basics.

0:11:39.559 --> 0:11:40.880
<v Speaker 2>She's downtown at the courthouse.

0:11:42.000 --> 0:11:46.040
<v Speaker 3>Our Chagos capital trial starting today could take several weeks.

0:11:46.440 --> 0:11:49.760
<v Speaker 3>Big dollars involved a lot of big important investment banks

0:11:49.880 --> 0:11:50.679
<v Speaker 3>in Vahome to here.

0:11:50.760 --> 0:11:52.760
<v Speaker 2>But this was certainly the news.

0:11:52.920 --> 0:11:55.959
<v Speaker 6>Oh my gosh, it was spectacular. I mean just I've

0:11:56.000 --> 0:11:57.120
<v Speaker 6>never seen anything like that before.

0:11:57.360 --> 0:12:00.199
<v Speaker 3>No, And of course, you know, the biggest manifestation is

0:12:00.240 --> 0:12:04.080
<v Speaker 3>it just contributed didn't cost, but it contributed to the

0:12:04.080 --> 0:12:06.320
<v Speaker 3>demise of Credit Swiss, my former employer.

0:12:08.280 --> 0:12:12.160
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:12:12.240 --> 0:12:15.319
<v Speaker 1>weekdays at ten am Eastern on Affo card playing Android

0:12:15.360 --> 0:12:18.440
<v Speaker 1>Auto with the Bloomberg Business App. Listen on demand wherever

0:12:18.520 --> 0:12:22.360
<v Speaker 1>you get your podcasts, or watch us live on YouTube.

0:12:23.520 --> 0:12:26.400
<v Speaker 5>Alex Steel alongside Paul Sweeney. It's a Bloomberg Intelligence Radio.

0:12:26.400 --> 0:12:28.920
<v Speaker 5>We cover all the top news in finance and economics

0:12:28.920 --> 0:12:31.719
<v Speaker 5>with our analysts worldwide. They cover two thousand companies and

0:12:31.720 --> 0:12:34.320
<v Speaker 5>one hundred and thirty industries. We also get the best

0:12:34.360 --> 0:12:36.880
<v Speaker 5>in the brightest to come into the Bloomberg studio on

0:12:36.960 --> 0:12:40.040
<v Speaker 5>a Monday and give us their take on the markets.

0:12:40.080 --> 0:12:42.360
<v Speaker 5>And for that we go to Dryden Pence see io

0:12:42.440 --> 0:12:46.600
<v Speaker 5>at Pence Wealth Management. Now typically Dryden, you're in California.

0:12:46.400 --> 0:12:47.000
<v Speaker 9>That's correct.

0:12:47.559 --> 0:12:50.240
<v Speaker 6>You know, why are you here? Isn't that fun for you?

0:12:50.600 --> 0:12:51.199
<v Speaker 6>Good for us?

0:12:51.480 --> 0:12:51.800
<v Speaker 2>Well?

0:12:51.880 --> 0:12:54.320
<v Speaker 9>Yeah, Now I come to New York about once a quarter.

0:12:54.360 --> 0:12:56.280
<v Speaker 10>We have a lot of you know folks in this area,

0:12:56.400 --> 0:12:58.600
<v Speaker 10>and so it's good to come here. So I'm really

0:12:58.600 --> 0:12:59.480
<v Speaker 10>happy to be here today.

0:12:59.520 --> 0:13:01.679
<v Speaker 5>Thank you for we welcome to you yesterday with rain

0:13:01.760 --> 0:13:03.640
<v Speaker 5>and coldness, so you're welcome on that point.

0:13:04.040 --> 0:13:05.840
<v Speaker 6>So there was a great piece in the Bloomberg.

0:13:05.880 --> 0:13:07.680
<v Speaker 5>They talked about how S and B five hundred companies

0:13:07.720 --> 0:13:09.760
<v Speaker 5>are on track to post their best quarterly earning this

0:13:09.880 --> 0:13:12.760
<v Speaker 5>relative to expectations in at least two years, because nothing

0:13:12.880 --> 0:13:17.319
<v Speaker 5>disastrous happened, we didn't get that recession. And this dovetails

0:13:17.320 --> 0:13:19.800
<v Speaker 5>with your note saying that this year has been much

0:13:19.800 --> 0:13:20.920
<v Speaker 5>ado about nothing.

0:13:21.400 --> 0:13:23.720
<v Speaker 10>It's it is. I mean, people kind of dance on

0:13:23.760 --> 0:13:25.440
<v Speaker 10>the head of the Fed's pen. But I mean the

0:13:25.440 --> 0:13:28.640
<v Speaker 10>point is is that if you look at basic earnings,

0:13:28.840 --> 0:13:31.120
<v Speaker 10>you know we're probably going to have record earnings across

0:13:31.120 --> 0:13:33.480
<v Speaker 10>the S and P five hundred. And we started off

0:13:33.520 --> 0:13:36.880
<v Speaker 10>with the Magnificent seven leading the market, but now the

0:13:36.880 --> 0:13:39.760
<v Speaker 10>rest of them are beginning to catch up. And and

0:13:39.800 --> 0:13:41.400
<v Speaker 10>I think that we're going to see this four to

0:13:41.480 --> 0:13:44.320
<v Speaker 10>ninety three continue to spread out and go, and that

0:13:44.360 --> 0:13:46.720
<v Speaker 10>earnings are going to It's basically the beat goes on

0:13:46.960 --> 0:13:49.000
<v Speaker 10>every time we come where the beat goes on.

0:13:49.559 --> 0:13:52.280
<v Speaker 3>What's the pin on your lapel? People on radio can't

0:13:52.280 --> 0:13:54.199
<v Speaker 3>see it, but what's the pin on your lapel? That's

0:13:54.240 --> 0:13:56.800
<v Speaker 3>a bronze star, Bronze star US Army.

0:13:57.000 --> 0:13:59.320
<v Speaker 2>That's correct. Thank you for your service, my friend, to.

0:13:59.440 --> 0:14:00.760
<v Speaker 9>Thank you for your taxes.

0:14:00.840 --> 0:14:03.480
<v Speaker 2>Yeah, exactly, that's what I'm good at. You don't want

0:14:03.480 --> 0:14:04.280
<v Speaker 2>me in a foxhole.

0:14:04.320 --> 0:14:05.400
<v Speaker 7>You want me writing check.

0:14:05.400 --> 0:14:09.320
<v Speaker 9>You write those checks the way you buy body armor.

0:14:09.320 --> 0:14:11.719
<v Speaker 9>And that says soldier's life. So thank you very much.

0:14:11.760 --> 0:14:14.719
<v Speaker 3>All right, total spent this earning cycle. We're just kind

0:14:14.720 --> 0:14:17.160
<v Speaker 3>of getting through. We'll here from some of the retailers here,

0:14:17.360 --> 0:14:19.320
<v Speaker 3>anything that kind of knocked you off your game one

0:14:19.320 --> 0:14:20.800
<v Speaker 3>way or the other from this earning cycle.

0:14:20.880 --> 0:14:23.000
<v Speaker 10>Well, in the earning cycle, of course, we've got Walmart

0:14:23.000 --> 0:14:25.040
<v Speaker 10>coming up at the at the end of the at

0:14:25.080 --> 0:14:25.800
<v Speaker 10>the end of the week here.

0:14:25.960 --> 0:14:30.720
<v Speaker 9>But I think that what we're seeing is that, you know, consumers.

0:14:30.120 --> 0:14:33.440
<v Speaker 10>Are continuing to spend uh and and that's beginning to

0:14:33.440 --> 0:14:37.040
<v Speaker 10>transfer into earnings. Everybody, you know, lowered their expectations and

0:14:37.120 --> 0:14:39.160
<v Speaker 10>kind of put them down, and so we're coming in

0:14:39.160 --> 0:14:41.400
<v Speaker 10>this thing. It's it's an easy beat cycle, and we

0:14:41.440 --> 0:14:44.200
<v Speaker 10>continue to do that. But consumer, you know, yeah, wages

0:14:44.240 --> 0:14:46.200
<v Speaker 10>are at an all time high. You know, earnings are

0:14:46.240 --> 0:14:48.560
<v Speaker 10>at all time high. We've got more people working than

0:14:48.600 --> 0:14:51.560
<v Speaker 10>ever before, and that drives consumers. And if you give

0:14:51.600 --> 0:14:54.560
<v Speaker 10>an American consumer money, they're.

0:14:54.400 --> 0:14:55.080
<v Speaker 7>Going to spend it.

0:14:55.360 --> 0:14:57.960
<v Speaker 10>So I think that we're continuing to see that across retail.

0:14:58.320 --> 0:14:59.360
<v Speaker 10>We'll continue to see that.

0:14:59.560 --> 0:15:02.280
<v Speaker 9>But it but people break break up. You have certain

0:15:02.320 --> 0:15:03.240
<v Speaker 9>amount of trade downs.

0:15:03.240 --> 0:15:05.920
<v Speaker 10>When we mentioned the Walmart piece of it is that

0:15:06.000 --> 0:15:10.280
<v Speaker 10>the largest fastest growing group of Walmart shoppers are folks

0:15:10.280 --> 0:15:12.280
<v Speaker 10>that make over one hundred thousand dollars a year really

0:15:12.320 --> 0:15:13.000
<v Speaker 10>and so oh.

0:15:12.960 --> 0:15:14.800
<v Speaker 9>Yeah, and then they get in there.

0:15:14.960 --> 0:15:17.400
<v Speaker 10>They get in there because you know, they come for groceries.

0:15:17.520 --> 0:15:19.560
<v Speaker 10>You know, inflation is kicked up groceries quite a bit.

0:15:19.600 --> 0:15:22.440
<v Speaker 10>People feel that they go in and then you know,

0:15:22.600 --> 0:15:25.640
<v Speaker 10>so there really is an opportunity for continued increase in

0:15:25.720 --> 0:15:28.280
<v Speaker 10>market share, and so you kind of get, you know,

0:15:28.280 --> 0:15:30.480
<v Speaker 10>then you get the aspirational side is you have you know,

0:15:30.760 --> 0:15:32.360
<v Speaker 10>the very high end is doing well.

0:15:32.440 --> 0:15:34.760
<v Speaker 9>I mean, gosh, I.

0:15:34.760 --> 0:15:37.160
<v Speaker 10>Mean forty percent of consumer spinning is done by the

0:15:37.280 --> 0:15:38.600
<v Speaker 10>top twenty percent of the population.

0:15:38.800 --> 0:15:41.640
<v Speaker 5>So yeah, and Torsten Slot had a great chart out

0:15:42.080 --> 0:15:43.040
<v Speaker 5>just and he kind of.

0:15:42.960 --> 0:15:45.480
<v Speaker 6>Recycles his chart every once in a while over at Apollo.

0:15:45.240 --> 0:15:47.920
<v Speaker 5>And it's basically those that have either no mortgage on

0:15:47.960 --> 0:15:50.880
<v Speaker 5>their home or have a mortgage below four percent, which

0:15:50.920 --> 0:15:54.480
<v Speaker 5>to that point just freeze up all that cash.

0:15:54.760 --> 0:15:57.040
<v Speaker 10>Exactly if your if your mortgage is at four if

0:15:57.040 --> 0:15:58.920
<v Speaker 10>you have a thirty year mortgage at four percent, you

0:15:58.960 --> 0:16:02.320
<v Speaker 10>don't really work worry too much about mortgages going to

0:16:02.360 --> 0:16:03.120
<v Speaker 10>seven or eight percent.

0:16:03.120 --> 0:16:04.640
<v Speaker 9>Now, if you're a millennial trying to be a first

0:16:04.680 --> 0:16:07.600
<v Speaker 9>time home buyer, your brain's going to explode. But for

0:16:07.680 --> 0:16:10.560
<v Speaker 9>everybody else it's really not as big an issue.

0:16:10.600 --> 0:16:12.520
<v Speaker 3>One of the names on your list is really interesting

0:16:12.520 --> 0:16:15.000
<v Speaker 3>to me, which is Apple, because for the first time

0:16:15.160 --> 0:16:18.880
<v Speaker 3>in a collective memory of a lot of investors, there's

0:16:19.040 --> 0:16:20.760
<v Speaker 3>serious and fundamental headwinds for Apple.

0:16:20.800 --> 0:16:23.240
<v Speaker 2>And if you bull it down to one word's China.

0:16:23.440 --> 0:16:25.800
<v Speaker 2>How do you guys get comfortable with that? We get comforted.

0:16:25.960 --> 0:16:30.000
<v Speaker 10>But I think people underestimate the massive size of Apple.

0:16:30.120 --> 0:16:33.080
<v Speaker 10>If you take a look at the app Store, that's

0:16:33.120 --> 0:16:36.280
<v Speaker 10>an environment of two point two billion active users, and

0:16:36.360 --> 0:16:39.640
<v Speaker 10>they've got two billion active devices that are out there,

0:16:39.720 --> 0:16:41.920
<v Speaker 10>So that's nine hundred million people more than the entire

0:16:41.920 --> 0:16:45.400
<v Speaker 10>population of China. Why so sometimes when you think, okay,

0:16:45.440 --> 0:16:47.720
<v Speaker 10>it's a China story, now it's a global story.

0:16:48.000 --> 0:16:50.200
<v Speaker 9>You know, if you take a look at the app Store, the.

0:16:50.200 --> 0:16:53.200
<v Speaker 10>Total merchandise value that's traded on that is over one

0:16:53.200 --> 0:16:58.600
<v Speaker 10>point one trillion dollars. It's bigger than the Netherlands.

0:16:58.440 --> 0:17:00.320
<v Speaker 9>It's amazing how big it really is.

0:17:00.840 --> 0:17:02.400
<v Speaker 3>So, I mean, I guess the issue there for for

0:17:02.480 --> 0:17:05.399
<v Speaker 3>Apple is, you know, it's can they manage around China?

0:17:05.920 --> 0:17:08.119
<v Speaker 3>Number one? And I think there are a lot of

0:17:08.119 --> 0:17:10.560
<v Speaker 3>people that are on both sides. And then the number two,

0:17:10.640 --> 0:17:12.640
<v Speaker 3>what is their AI strategy? Again, do you think they're

0:17:12.680 --> 0:17:15.119
<v Speaker 3>a tech company that has to have an AI strategy

0:17:15.160 --> 0:17:17.560
<v Speaker 3>because really, at the moment, I don't know.

0:17:17.800 --> 0:17:21.160
<v Speaker 10>I think they have the luxury a because they're so big,

0:17:21.400 --> 0:17:23.439
<v Speaker 10>they have the luxury to take a little time to

0:17:23.520 --> 0:17:26.280
<v Speaker 10>make sure it's right. I mean, Apple doesn't make many mistakes,

0:17:26.560 --> 0:17:29.080
<v Speaker 10>and I think that that you know, they really they're

0:17:29.119 --> 0:17:30.960
<v Speaker 10>really to use of military parliance.

0:17:31.080 --> 0:17:32.520
<v Speaker 9>They're really about you.

0:17:32.480 --> 0:17:37.199
<v Speaker 10>Know, ready aim fire, and so I think rather than

0:17:37.280 --> 0:17:40.280
<v Speaker 10>jump into just anything AI, they want to get it right.

0:17:40.680 --> 0:17:43.200
<v Speaker 10>And I think that's why people trust that brand, They

0:17:43.200 --> 0:17:46.040
<v Speaker 10>trust equipment, they trust all those things. So you know

0:17:46.080 --> 0:17:47.919
<v Speaker 10>the fact that they're not rushing in to be the

0:17:47.960 --> 0:17:49.960
<v Speaker 10>exact leader on integration.

0:17:49.600 --> 0:17:51.360
<v Speaker 9>Of AI means that they're going to try to get

0:17:51.359 --> 0:17:51.680
<v Speaker 9>it right.

0:17:51.920 --> 0:17:53.280
<v Speaker 10>And I think that that's going to be important.

0:17:53.320 --> 0:17:55.840
<v Speaker 5>Well, you mentioned Walmart earlier. We talked about that. What

0:17:55.960 --> 0:17:56.720
<v Speaker 5>about Amazon?

0:17:57.000 --> 0:17:59.880
<v Speaker 6>What why do you own a stock like Amazon?

0:18:00.960 --> 0:18:04.640
<v Speaker 10>You know, Amazon gets about you know, forty cents out

0:18:04.680 --> 0:18:07.720
<v Speaker 10>of every dollar, four out of ten, you know, of

0:18:08.040 --> 0:18:12.119
<v Speaker 10>everything online. And so when you think about how massively

0:18:12.240 --> 0:18:15.159
<v Speaker 10>large that is, and we have a consumer that's moving

0:18:15.320 --> 0:18:18.240
<v Speaker 10>more and more online. If you move from right now,

0:18:18.240 --> 0:18:20.680
<v Speaker 10>we're going like fifteen percent of retail is online.

0:18:20.720 --> 0:18:21.760
<v Speaker 9>If they just move up to.

0:18:21.800 --> 0:18:24.800
<v Speaker 10>If they move to twenty five, which is kind of

0:18:24.800 --> 0:18:26.480
<v Speaker 10>where the most of the world is going, that's a

0:18:26.520 --> 0:18:30.639
<v Speaker 10>three hundred billion dollar opportunity that Amazon has. And so

0:18:31.080 --> 0:18:35.359
<v Speaker 10>as behavior changes and behavior moves more and more online,

0:18:35.840 --> 0:18:38.560
<v Speaker 10>you're going to see greater use of Amazon. And one

0:18:38.560 --> 0:18:42.200
<v Speaker 10>thing we have to think about is on this inflation cycle.

0:18:42.359 --> 0:18:44.760
<v Speaker 10>And even if you if you look at inflation, people

0:18:44.760 --> 0:18:47.840
<v Speaker 10>being price conscious and things like that, the most efficient

0:18:47.920 --> 0:18:53.760
<v Speaker 10>way to bargainshop is online. Oh you're preaching the fire, please,

0:18:53.800 --> 0:18:55.840
<v Speaker 10>and there you go, and there you go. So it's

0:18:55.880 --> 0:18:59.840
<v Speaker 10>just going to increase utilization of that platform. They're so dominant,

0:19:00.080 --> 0:19:02.320
<v Speaker 10>and so I think that we find that that, you know,

0:19:02.440 --> 0:19:04.800
<v Speaker 10>long term, if we're thinking about this, that they're going

0:19:04.840 --> 0:19:07.199
<v Speaker 10>to overcome whatever headwinds people are trying to imagine that

0:19:07.200 --> 0:19:07.480
<v Speaker 10>they have.

0:19:07.760 --> 0:19:09.960
<v Speaker 3>You know, one of the many reasons we're like hearing

0:19:10.000 --> 0:19:12.159
<v Speaker 3>from Walmart and we will this week is just it

0:19:12.200 --> 0:19:14.359
<v Speaker 3>gives us a good read on the consumer. It feels

0:19:14.359 --> 0:19:17.399
<v Speaker 3>like a broad based read on the consumer. How do

0:19:17.440 --> 0:19:20.040
<v Speaker 3>you view the consumer here, because there's a there's definitely

0:19:20.080 --> 0:19:21.879
<v Speaker 3>some cracks out there for a lot of folks.

0:19:22.280 --> 0:19:25.200
<v Speaker 10>I think that then when we talked about early on

0:19:25.320 --> 0:19:28.119
<v Speaker 10>this trade down, right, if you break the consumer up

0:19:28.160 --> 0:19:30.280
<v Speaker 10>into three groups, you have the the top tier, the

0:19:30.280 --> 0:19:32.919
<v Speaker 10>middle tier, and then the lower tier. You know, the

0:19:32.960 --> 0:19:35.920
<v Speaker 10>lower tier, inflation is showing up and it's and it's

0:19:35.960 --> 0:19:38.199
<v Speaker 10>beginning to change some of their behavior. People having to

0:19:38.240 --> 0:19:40.800
<v Speaker 10>pay more attention to pricing and things like that. They're

0:19:40.800 --> 0:19:44.600
<v Speaker 10>going to move into more frequency of a Walmart or

0:19:44.800 --> 0:19:47.240
<v Speaker 10>any of the discounters. But then when you take a

0:19:47.240 --> 0:19:49.239
<v Speaker 10>look at that middle group, like I mentioned before, that

0:19:49.320 --> 0:19:53.040
<v Speaker 10>trade down, where now they're because grocery prices are so high.

0:19:53.160 --> 0:19:54.760
<v Speaker 10>People are going to move in there for grocery and

0:19:54.800 --> 0:19:56.480
<v Speaker 10>the next thing, you know, they look at the rest

0:19:56.520 --> 0:19:58.199
<v Speaker 10>of the sore and when you and you hear it

0:19:58.200 --> 0:20:00.680
<v Speaker 10>all the time, I can't find it anywhere else.

0:20:00.800 --> 0:20:02.679
<v Speaker 9>So I went to Walmart. And so I think that

0:20:02.720 --> 0:20:05.000
<v Speaker 9>we're going to continue to see increased.

0:20:04.640 --> 0:20:08.200
<v Speaker 10>Traffic and that's going to translate, uh to increase increased

0:20:08.240 --> 0:20:09.040
<v Speaker 10>growth in utilization.

0:20:09.480 --> 0:20:11.679
<v Speaker 5>But to the Amazon story, you're definitely buying it as

0:20:11.680 --> 0:20:13.800
<v Speaker 5>a retail story, not as like a cloud play or

0:20:13.840 --> 0:20:17.360
<v Speaker 5>an AI play, where you know, is that just like

0:20:17.359 --> 0:20:18.359
<v Speaker 5>like a pony on a cake?

0:20:18.400 --> 0:20:19.080
<v Speaker 2>What is that?

0:20:20.119 --> 0:20:21.680
<v Speaker 6>I don't want my cake?

0:20:21.760 --> 0:20:23.439
<v Speaker 9>You want a pony on your cake? That could be

0:20:23.440 --> 0:20:27.239
<v Speaker 9>a problem, but I think I think that it is.

0:20:27.520 --> 0:20:31.480
<v Speaker 10>It is you know, Amazon is It's got the cloud

0:20:31.560 --> 0:20:35.200
<v Speaker 10>of course, and that's just going to continue to grow

0:20:35.359 --> 0:20:37.840
<v Speaker 10>as we go through all this demand and AI and

0:20:37.880 --> 0:20:40.399
<v Speaker 10>those things. But when we really kind of think about

0:20:40.440 --> 0:20:43.160
<v Speaker 10>the consumer, because that's you know, what are people doing.

0:20:43.480 --> 0:20:45.720
<v Speaker 9>That's a very solid growth.

0:20:45.440 --> 0:20:49.000
<v Speaker 10>Story, and it's a behavior story of the American consumer,

0:20:49.240 --> 0:20:50.960
<v Speaker 10>and I think that it's one that that we really

0:20:51.240 --> 0:20:54.280
<v Speaker 10>need to pay attention to because remember too that that

0:20:54.480 --> 0:20:59.280
<v Speaker 10>pricing online has kind of gone down over over the

0:20:59.359 --> 0:21:02.240
<v Speaker 10>you know, past ten years, whereas CPI and everywhere else

0:21:02.280 --> 0:21:05.680
<v Speaker 10>has gone up. So you get better competitive pricing online,

0:21:05.920 --> 0:21:10.080
<v Speaker 10>better competitive pricing in an inflationary environment.

0:21:10.119 --> 0:21:11.680
<v Speaker 9>And that's just going to continue to.

0:21:11.760 --> 0:21:15.040
<v Speaker 10>Play right into that ecosystem that is part of I've

0:21:15.080 --> 0:21:17.600
<v Speaker 10>yet to find I very rarely find somebody who hasn't

0:21:17.600 --> 0:21:18.600
<v Speaker 10>bought something on Amazon.

0:21:18.760 --> 0:21:21.160
<v Speaker 9>Yeah, and it just continues.

0:21:21.280 --> 0:21:21.480
<v Speaker 2>Yeah.

0:21:21.480 --> 0:21:26.159
<v Speaker 3>Absolutely, We'll hear from Amazon Thursday, Port with earnings. I'm sorry,

0:21:26.520 --> 0:21:29.359
<v Speaker 3>Walmart Thursday. Dreda Pence, thank you so much for joining us.

0:21:29.440 --> 0:21:32.760
<v Speaker 3>Dreda Penci is the chief investment officer Pence Wealth Management,

0:21:33.320 --> 0:21:35.640
<v Speaker 3>based out there in Newport Beach, California.

0:21:35.720 --> 0:21:38.120
<v Speaker 2>Joining us here in a Bloomberg Interactive Broker studio.

0:21:39.359 --> 0:21:43.240
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:21:43.320 --> 0:21:46.840
<v Speaker 1>weekdays at ten am Eastern on applecar Play and Android

0:21:46.880 --> 0:21:49.639
<v Speaker 1>Auto with the Bloomberg Business App. You can also listen

0:21:49.760 --> 0:21:52.879
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:21:53.240 --> 0:21:56.000
<v Speaker 1>Just Say Alexa, playing Bloomberg eleven thirty.

0:21:58.040 --> 0:22:01.919
<v Speaker 5>I'm Alex the alongside Paul Sweeney is Bloomberg Intelligence Radio.

0:22:01.960 --> 0:22:04.399
<v Speaker 5>We bring you all the top financial and economic news

0:22:04.480 --> 0:22:07.440
<v Speaker 5>through the lens of our Bloomberg Intelligence analysts. They cover

0:22:07.520 --> 0:22:10.760
<v Speaker 5>two thousand companies and one hundred and thirty industries worldwide,

0:22:10.920 --> 0:22:13.000
<v Speaker 5>and every Monday at this time we dip into our

0:22:13.040 --> 0:22:17.680
<v Speaker 5>Bloomberg NIF research team. So this is basically a research

0:22:17.800 --> 0:22:21.320
<v Speaker 5>team that has the best data sets and models built

0:22:21.320 --> 0:22:23.639
<v Speaker 5>by analysts and industry experts all around the world, and

0:22:23.640 --> 0:22:28.639
<v Speaker 5>they cover everything commodity, power, transport, industry, buildings, AGG related

0:22:29.240 --> 0:22:29.960
<v Speaker 5>and it's really all.

0:22:29.960 --> 0:22:31.560
<v Speaker 6>The cutting issues of our.

0:22:31.480 --> 0:22:33.639
<v Speaker 5>Time in my personal opinion, because you know how I

0:22:33.720 --> 0:22:36.280
<v Speaker 5>like the whole green stuff, energy transition stuff. If you

0:22:36.280 --> 0:22:39.399
<v Speaker 5>look at any report, they all quote the EV data

0:22:39.440 --> 0:22:41.760
<v Speaker 5>that comes from Bloomberg NIF. And we have one of

0:22:41.760 --> 0:22:44.800
<v Speaker 5>those individual analysts here with us now, Corey Kanter, is

0:22:44.840 --> 0:22:49.320
<v Speaker 5>being at Bloomberg NAF lead US electric Vehicle analyst. It's

0:22:49.359 --> 0:22:51.400
<v Speaker 5>great to have you here at Corey, thanks for joining us.

0:22:51.720 --> 0:22:54.160
<v Speaker 11>Great to be here, guys. Happy Monday, Happy Monday.

0:22:54.200 --> 0:22:56.160
<v Speaker 6>We made it so you told.

0:22:56.160 --> 0:23:01.280
<v Speaker 5>Your latest note is about how Tesla's there's recent stumbles,

0:23:01.640 --> 0:23:03.960
<v Speaker 5>not necessarily government policy or anything like that, but Tesla's

0:23:03.960 --> 0:23:07.800
<v Speaker 5>recent stumbles creates some adoor opening for the other EV

0:23:07.920 --> 0:23:09.800
<v Speaker 5>makers like a GM and a Ribbean.

0:23:09.880 --> 0:23:12.879
<v Speaker 6>Can you talk us through what your latest research says.

0:23:13.320 --> 0:23:13.520
<v Speaker 11>Yeah.

0:23:13.560 --> 0:23:16.000
<v Speaker 12>So, if you look at last quarter, both globally and

0:23:16.040 --> 0:23:19.359
<v Speaker 12>within the US, Tesla hit a bit of a rough patch.

0:23:19.480 --> 0:23:22.480
<v Speaker 12>You saw globally sales down about nine percent year on year.

0:23:22.960 --> 0:23:25.200
<v Speaker 12>And when you're looking at the EV space and the

0:23:25.240 --> 0:23:27.399
<v Speaker 12>automotive space, year onyar is usually the best way to

0:23:27.440 --> 0:23:28.679
<v Speaker 12>take a look at this market.

0:23:28.440 --> 0:23:30.000
<v Speaker 11>To see how things are changing and growing.

0:23:30.640 --> 0:23:33.000
<v Speaker 12>And so when it comes to GM, when it comes

0:23:33.040 --> 0:23:36.919
<v Speaker 12>to Rivian, Yuendi and even Lucid, there's just an opening

0:23:36.960 --> 0:23:38.960
<v Speaker 12>here for them to expand their market share. Each of

0:23:39.000 --> 0:23:41.080
<v Speaker 12>them has a different strategy as it pertains to twenty

0:23:41.119 --> 0:23:43.520
<v Speaker 12>twenty four. And this doesn't mean that either of them

0:23:43.520 --> 0:23:44.800
<v Speaker 12>are going to or any of them are going to

0:23:44.800 --> 0:23:47.560
<v Speaker 12>pass Tesla in this year. But from yours working in

0:23:47.560 --> 0:23:49.720
<v Speaker 12>the EV space, all you would hear is we're always

0:23:49.720 --> 0:23:53.199
<v Speaker 12>competing for number two. We can never surpass Tesla. And

0:23:53.359 --> 0:23:56.080
<v Speaker 12>whether you're looking at the kind of EV car space

0:23:56.240 --> 0:23:59.119
<v Speaker 12>or even EV charging, the fact that Tesla's taking a

0:23:59.119 --> 0:24:01.760
<v Speaker 12>step back birth both in terms of where they're focusing

0:24:01.760 --> 0:24:05.160
<v Speaker 12>their sales as well as their EV charging network efforts,

0:24:05.200 --> 0:24:06.919
<v Speaker 12>it means that other people, if they are able to

0:24:06.920 --> 0:24:08.440
<v Speaker 12>step up can make in roads.

0:24:08.840 --> 0:24:11.919
<v Speaker 3>It feels like after an initial surge over the last five, six,

0:24:12.000 --> 0:24:16.320
<v Speaker 3>seven years that there's been a lull in demand for evs,

0:24:16.400 --> 0:24:18.240
<v Speaker 3>And I don't know a do you believe that's the

0:24:18.280 --> 0:24:20.800
<v Speaker 3>case in b Why is that? Do you think?

0:24:21.200 --> 0:24:21.280
<v Speaker 5>So?

0:24:21.480 --> 0:24:24.040
<v Speaker 12>Last year we saw in the US about fifty percent

0:24:24.119 --> 0:24:27.879
<v Speaker 12>year on year growth for electric vehicles from twenty twenty two, So,

0:24:27.960 --> 0:24:30.200
<v Speaker 12>if anything, that was a really strong and successful year.

0:24:30.359 --> 0:24:32.840
<v Speaker 12>We did begin to see some of the challenges around

0:24:33.520 --> 0:24:36.000
<v Speaker 12>adoption as you move from that kind of early adopter's

0:24:36.040 --> 0:24:38.400
<v Speaker 12>phase to more of the mass market, and that's where

0:24:38.400 --> 0:24:40.639
<v Speaker 12>consumers are going to be less patient with the technology

0:24:41.080 --> 0:24:43.720
<v Speaker 12>and with the upfront cost as well as charging infrastructure.

0:24:43.760 --> 0:24:45.720
<v Speaker 12>And I think what makes the US different than other

0:24:45.760 --> 0:24:48.840
<v Speaker 12>regions like Europe and China is that charging really hasn't

0:24:48.880 --> 0:24:51.480
<v Speaker 12>been figured out to the same extent, and the heavy

0:24:51.520 --> 0:24:54.280
<v Speaker 12>reliance on Tesla means that when Tesla steps back from

0:24:54.359 --> 0:24:58.360
<v Speaker 12>charging investments, you know, lays off many of the supercharging

0:24:58.400 --> 0:25:00.879
<v Speaker 12>network team, it means it's to be more of a

0:25:01.440 --> 0:25:05.560
<v Speaker 12>uncertainty for the consumer here. So data in the first quarter,

0:25:05.640 --> 0:25:08.240
<v Speaker 12>you know, we're finalizing We've seen a lot of data

0:25:08.280 --> 0:25:13.760
<v Speaker 12>come up outside of Tesla. Other automakers like Ford, Hyendai,

0:25:14.040 --> 0:25:17.920
<v Speaker 12>Rivian all did quite well, but GM, Volkswagen and Tesla

0:25:18.200 --> 0:25:19.919
<v Speaker 12>took a step back and that has a big impact

0:25:19.920 --> 0:25:20.320
<v Speaker 12>on the market.

0:25:20.400 --> 0:25:22.359
<v Speaker 11>In the first quarter. We'll see how Q two goes.

0:25:22.720 --> 0:25:25.280
<v Speaker 5>We are looking down the barrel here this week of

0:25:25.400 --> 0:25:28.600
<v Speaker 5>some tariffs that will be imposed on China EV's imports

0:25:28.640 --> 0:25:30.959
<v Speaker 5>into the US, just knowing what we know about how

0:25:30.960 --> 0:25:34.040
<v Speaker 5>these car makers operate and look at losses per vehicle

0:25:34.040 --> 0:25:36.439
<v Speaker 5>when it comes to EV's, what would be better for

0:25:36.600 --> 0:25:39.600
<v Speaker 5>Rivian and GM, like more competition to kind of light

0:25:39.640 --> 0:25:43.239
<v Speaker 5>a fire or less that gives them more time to

0:25:43.320 --> 0:25:43.920
<v Speaker 5>do stuff.

0:25:44.280 --> 0:25:45.639
<v Speaker 11>Yeah, that's a really good question, Alex.

0:25:45.680 --> 0:25:48.360
<v Speaker 12>I think everyone that you speak to in the automotive

0:25:48.400 --> 0:25:51.080
<v Speaker 12>space knows that the Chinese EV makers are out there,

0:25:51.119 --> 0:25:54.360
<v Speaker 12>your bid and other brands. I mean, we even saw

0:25:54.480 --> 0:25:58.240
<v Speaker 12>Zeker last week a public right, Hio public and.

0:25:58.240 --> 0:26:00.640
<v Speaker 11>So the pressure should be there.

0:26:01.640 --> 0:26:05.040
<v Speaker 12>Tariffs, you're not seeing really too many Chinese evs really

0:26:05.080 --> 0:26:08.119
<v Speaker 12>imported into the US. Volvo and Pulstor might be the exception,

0:26:08.640 --> 0:26:10.679
<v Speaker 12>but really what those tariffs looks like. I want to

0:26:10.720 --> 0:26:12.640
<v Speaker 12>keep an eye on the battery portion because I think

0:26:12.640 --> 0:26:15.240
<v Speaker 12>that could have more of an impact than the couple

0:26:15.400 --> 0:26:17.880
<v Speaker 12>or you know, the thousands of evs from China, specifically,

0:26:18.359 --> 0:26:21.560
<v Speaker 12>given that the battery supply chain is still very heavily

0:26:21.600 --> 0:26:25.480
<v Speaker 12>reliant on China, particularly for those lithyan iron phosphate batteries LFP,

0:26:25.880 --> 0:26:27.800
<v Speaker 12>which is used to help bring down costs and electric

0:26:27.920 --> 0:26:31.440
<v Speaker 12>vehicles for GM. You know, GM is competing in China already,

0:26:31.480 --> 0:26:34.000
<v Speaker 12>so they have a good sense of how competitive that

0:26:34.080 --> 0:26:36.600
<v Speaker 12>space is. And really there you're seeing great technology and

0:26:36.760 --> 0:26:40.879
<v Speaker 12>upfront cost at a low level, which eventually you'll see here.

0:26:41.040 --> 0:26:43.160
<v Speaker 12>I mean, if anything, you know, maybe the tariffs help

0:26:43.440 --> 0:26:45.879
<v Speaker 12>stem the gap a little bit, but if you fall

0:26:45.920 --> 0:26:48.480
<v Speaker 12>behind and don't invest in electric vehicles now, you know,

0:26:48.480 --> 0:26:50.399
<v Speaker 12>we could be having the same conversation in two to

0:26:50.400 --> 0:26:52.639
<v Speaker 12>three years with those Chinese automakers aiming to come to

0:26:52.680 --> 0:26:53.159
<v Speaker 12>the US.

0:26:53.560 --> 0:26:56.960
<v Speaker 3>So do we have a sense that the US OEMs forwards,

0:26:56.960 --> 0:26:59.280
<v Speaker 3>the GM, Stilantis or the world have pulled back on

0:26:59.320 --> 0:27:02.879
<v Speaker 3>their commitment to EV's or maybe they're timing of investments

0:27:02.920 --> 0:27:03.560
<v Speaker 3>on EV's.

0:27:03.880 --> 0:27:04.760
<v Speaker 2>You think that's happening.

0:27:05.240 --> 0:27:08.160
<v Speaker 12>I think the timing on investment in evs is happening

0:27:08.320 --> 0:27:11.600
<v Speaker 12>right in terms of their overall strategy. They've been I

0:27:11.680 --> 0:27:14.200
<v Speaker 12>think approaching the market in a different way. Ford has

0:27:14.240 --> 0:27:17.400
<v Speaker 12>been pushing towards this new EV platform that they're beginning

0:27:17.440 --> 0:27:20.080
<v Speaker 12>to kind of produce in next year. GM of course

0:27:20.080 --> 0:27:23.040
<v Speaker 12>has its Ultium platform, And for Stilantis, they don't actually

0:27:23.080 --> 0:27:25.359
<v Speaker 12>have any fully electric vehicles here yet, although they have

0:27:25.400 --> 0:27:27.440
<v Speaker 12>the highest selling plug in hybrid electric.

0:27:27.119 --> 0:27:28.480
<v Speaker 11>Vehicle, the Jeep Wrangler.

0:27:29.200 --> 0:27:31.200
<v Speaker 12>A lot of this is un timing, but what I

0:27:31.280 --> 0:27:35.359
<v Speaker 12>always like to say is that timing and the investment

0:27:36.080 --> 0:27:38.959
<v Speaker 12>is one thing, but you have to produce ultimately, and

0:27:39.040 --> 0:27:41.560
<v Speaker 12>so if it's a delay of six months a year,

0:27:41.640 --> 0:27:44.359
<v Speaker 12>that's okay, but the cost of inaction gets higher. And

0:27:44.400 --> 0:27:47.159
<v Speaker 12>if you really say, not just to the Chinese automakers,

0:27:47.160 --> 0:27:49.880
<v Speaker 12>but other automakers like Handai and Kia, really could make

0:27:50.240 --> 0:27:51.720
<v Speaker 12>up a lot of ground here, and that's why there's

0:27:51.720 --> 0:27:55.000
<v Speaker 12>such a big opportunity for Rivian to kind of step in.

0:27:55.440 --> 0:27:58.720
<v Speaker 12>Ford and Tesla remain the number one and two EV

0:27:58.840 --> 0:28:02.080
<v Speaker 12>makers here in the US, but they don't really have

0:28:02.119 --> 0:28:04.280
<v Speaker 12>any near term goals for twenty twenty four, and so

0:28:04.440 --> 0:28:06.560
<v Speaker 12>when analysts are taking a look trying to see what

0:28:06.560 --> 0:28:09.199
<v Speaker 12>they're doing next, having a clear product roadmap could kind

0:28:09.200 --> 0:28:10.840
<v Speaker 12>of clear up a lot of that uncertainty, and we

0:28:10.880 --> 0:28:11.800
<v Speaker 12>don't have it right now.

0:28:12.240 --> 0:28:13.920
<v Speaker 5>When am I gonna be able to buy a sixteen

0:28:13.920 --> 0:28:16.840
<v Speaker 5>thousand dollars EV that helps me go from here to

0:28:16.880 --> 0:28:18.680
<v Speaker 5>the Berkshires without a charge?

0:28:18.920 --> 0:28:19.119
<v Speaker 11>You know?

0:28:19.160 --> 0:28:20.960
<v Speaker 12>And I think there's a lot of interesting EV startups

0:28:20.960 --> 0:28:23.600
<v Speaker 12>out there, and you seem pretty well attuned. I think

0:28:23.680 --> 0:28:26.240
<v Speaker 12>we're going to see starting next year, more EV's kind

0:28:26.240 --> 0:28:28.480
<v Speaker 12>of coming down to the low thirty thousand dollars price point.

0:28:28.760 --> 0:28:30.199
<v Speaker 12>The big question is how many of them are going

0:28:30.240 --> 0:28:32.199
<v Speaker 12>to have that seventy five hundred dollars tax credit. And

0:28:32.240 --> 0:28:34.320
<v Speaker 12>of course there's a lot of policy questions, and then

0:28:34.320 --> 0:28:36.560
<v Speaker 12>an election this year that'll have an impact on that too.

0:28:36.640 --> 0:28:40.120
<v Speaker 6>And takeaways is not yet colple of years. Yeah, of course, I.

0:28:40.120 --> 0:28:42.960
<v Speaker 5>Think the seagull is tw thousand books.

0:28:43.000 --> 0:28:44.840
<v Speaker 12>I'm going to look at this thing, all right, Yeah, right,

0:28:44.960 --> 0:28:46.840
<v Speaker 12>it's the BYD's, but.

0:28:46.720 --> 0:28:48.280
<v Speaker 6>That's the whole point that's byd.

0:28:49.040 --> 0:28:52.600
<v Speaker 12>Okay well tiny yeah, in that car, it's about twenty

0:28:52.600 --> 0:28:53.719
<v Speaker 12>thousand dollars in Mexico.

0:28:53.800 --> 0:28:55.120
<v Speaker 11>So the ten thousand, I think is.

0:28:55.880 --> 0:28:58.120
<v Speaker 6>Maybe not the price that I would be paying. Only

0:28:58.200 --> 0:28:59.280
<v Speaker 6>one Winshield wiper.

0:29:00.560 --> 0:29:01.320
<v Speaker 2>How many do you need?

0:29:01.400 --> 0:29:01.960
<v Speaker 6>How does that work?

0:29:02.680 --> 0:29:03.959
<v Speaker 5>I mean to be fair, did the two really make

0:29:04.000 --> 0:29:07.400
<v Speaker 5>a difference, Corey, Thanks a lot, Corey Kanter Bloomberg any

0:29:08.360 --> 0:29:10.480
<v Speaker 5>US electric vehicle analysts.

0:29:10.560 --> 0:29:12.560
<v Speaker 6>But if you put one hundred percent tariff on that,

0:29:13.440 --> 0:29:14.480
<v Speaker 6>how much is that going to cost me?

0:29:14.720 --> 0:29:15.280
<v Speaker 2>That's not going to help.

0:29:15.280 --> 0:29:16.120
<v Speaker 6>But if I could get a ten.

0:29:16.080 --> 0:29:19.600
<v Speaker 5>Thousand dollars one that can get me from here to

0:29:19.640 --> 0:29:22.000
<v Speaker 5>the Berg heres with one charge, I would definitely consider

0:29:22.040 --> 0:29:22.560
<v Speaker 5>something like that.

0:29:22.800 --> 0:29:26.440
<v Speaker 6>This is why, Oh that's.

0:29:26.400 --> 0:29:28.880
<v Speaker 5>Right, the real cold, all of a sudden you have to, like,

0:29:29.040 --> 0:29:32.520
<v Speaker 5>you know, walk home, take your seventeen days. It's just

0:29:32.560 --> 0:29:34.960
<v Speaker 5>basically the batteries don't work that well in the cold.

0:29:34.960 --> 0:29:36.880
<v Speaker 5>They got to figure that one out, all.

0:29:36.840 --> 0:29:38.479
<v Speaker 6>Right, Thanks a lot, Corey. Really appreciate that.

0:29:38.520 --> 0:29:40.120
<v Speaker 5>This is all the pressing stuff that we get you

0:29:40.120 --> 0:29:42.640
<v Speaker 5>here on Bloomberg Intelligence and Bloomberg an EF.

0:29:45.160 --> 0:29:49.080
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

0:29:49.160 --> 0:29:52.200
<v Speaker 1>weekdays at ten am Eastern on Apple car Play and

0:29:52.200 --> 0:29:55.120
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0:29:55.200 --> 0:29:58.680
<v Speaker 1>listen live on Amazon Alexa from our flagship New York station.

0:29:59.040 --> 0:30:01.800
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty.

0:30:03.120 --> 0:30:06.160
<v Speaker 3>All right, last week I was visiting our good friends

0:30:06.560 --> 0:30:10.840
<v Speaker 3>at Boston Consulting Group BCG UP in Boston, I tended

0:30:10.880 --> 0:30:13.600
<v Speaker 3>the Boston Consulting Group Edge Expo in Boston. Had a

0:30:13.640 --> 0:30:16.520
<v Speaker 3>lot of great conversations with executives at BCG. One was

0:30:16.560 --> 0:30:19.200
<v Speaker 3>with Sessha iiro North American co Chare. He focuses on

0:30:19.600 --> 0:30:22.400
<v Speaker 3>helping clients think through the levels of value for new

0:30:22.520 --> 0:30:25.440
<v Speaker 3>artificial intelligence and the role of ai'm moving forward. I

0:30:25.440 --> 0:30:27.840
<v Speaker 3>began by asking him to tell us what he thinks

0:30:27.880 --> 0:30:29.120
<v Speaker 3>AI is today.

0:30:29.160 --> 0:30:34.360
<v Speaker 7>Let's listen, Sylvia, really looking at how we can really

0:30:34.440 --> 0:30:39.480
<v Speaker 7>leverage technology and when we say intelligence, being able to

0:30:39.520 --> 0:30:43.120
<v Speaker 7>really interpret data, apply data to really drive change, to

0:30:43.280 --> 0:30:48.120
<v Speaker 7>create value inside of organizations. It's how do you take

0:30:48.200 --> 0:30:51.680
<v Speaker 7>the data apply it against processes to really get rounds

0:30:51.680 --> 0:30:56.760
<v Speaker 7>of value around either productivity, around cost, around top line,

0:30:56.960 --> 0:31:01.479
<v Speaker 7>around customer impact, around customer intimate, see and delight. So

0:31:01.520 --> 0:31:05.480
<v Speaker 7>how do you essentially use data to generate that insight.

0:31:05.560 --> 0:31:07.480
<v Speaker 7>So in a simple way, that's what he is about.

0:31:07.720 --> 0:31:10.400
<v Speaker 7>A lot that we are clearly observing right now. Is

0:31:10.480 --> 0:31:14.040
<v Speaker 7>also not just predictive AI, which has been around for

0:31:14.160 --> 0:31:18.200
<v Speaker 7>a long time, but the emergence of generative AI. That

0:31:18.320 --> 0:31:23.800
<v Speaker 7>then adds four specific things. The first is the synthesis

0:31:23.880 --> 0:31:27.000
<v Speaker 7>of information and large reams of information. How do you

0:31:27.040 --> 0:31:30.440
<v Speaker 7>synthesize and get the right information in the right construct

0:31:30.480 --> 0:31:33.600
<v Speaker 7>to the right person. There's a lot around generation. We

0:31:33.720 --> 0:31:37.840
<v Speaker 7>actually can generate not only text, but we can generate voice,

0:31:37.840 --> 0:31:42.120
<v Speaker 7>we can generate videos. The third is it's very conversational, right,

0:31:42.160 --> 0:31:45.520
<v Speaker 7>so you can actually engage with very low friction. And

0:31:45.560 --> 0:31:48.240
<v Speaker 7>then the last is it has the ability to reason,

0:31:48.760 --> 0:31:51.440
<v Speaker 7>so it can actually have a good dialogue with you.

0:31:51.840 --> 0:31:54.640
<v Speaker 7>So we are starting to see these additional attributes in

0:31:54.680 --> 0:31:57.320
<v Speaker 7>gen AI that are actually bringing a lot more value

0:31:57.360 --> 0:31:57.960
<v Speaker 7>front inside.

0:31:58.400 --> 0:31:59.040
<v Speaker 2>It's interesting.

0:31:59.600 --> 0:32:02.200
<v Speaker 3>I think there is Bloomberg ran a story a quarter

0:32:02.320 --> 0:32:04.440
<v Speaker 3>or two ago. Every company in the S and P.

0:32:04.520 --> 0:32:06.560
<v Speaker 3>Five hundred on their earnings conference.

0:32:06.200 --> 0:32:09.120
<v Speaker 2>Call mentioned AI. It has come out of nowhere.

0:32:09.400 --> 0:32:13.520
<v Speaker 3>How receptive are your clients to discussing AI, making the

0:32:13.600 --> 0:32:18.480
<v Speaker 3>investments in AI, whether that's upping their technology budget, reallocating

0:32:18.520 --> 0:32:19.560
<v Speaker 3>their technology budget.

0:32:19.560 --> 0:32:20.600
<v Speaker 2>How do those discussions go?

0:32:21.160 --> 0:32:24.280
<v Speaker 7>So we did a survey earlier this year. We are

0:32:24.280 --> 0:32:28.680
<v Speaker 7>clearly seeing seventy percent of execs increasing the payment okay,

0:32:28.880 --> 0:32:32.520
<v Speaker 7>and then within that that seventy percent. We are seeing,

0:32:32.880 --> 0:32:35.800
<v Speaker 7>you know, fifty percent of execs say that JENNYI is

0:32:35.840 --> 0:32:39.479
<v Speaker 7>going to be a top priority. So we're clearly seeing

0:32:40.360 --> 0:32:44.280
<v Speaker 7>more investments going against leveraging this to deliver to value.

0:32:44.400 --> 0:32:46.480
<v Speaker 7>Now that being said, the other thing that we're also

0:32:46.560 --> 0:32:50.120
<v Speaker 7>observing is there's only one in ten executives who's are

0:32:50.320 --> 0:32:53.479
<v Speaker 7>companies that are truly pioneers. Okay, right, the other nine

0:32:53.560 --> 0:32:55.760
<v Speaker 7>and ten are I would say doing a bit and watch.

0:32:56.440 --> 0:33:00.160
<v Speaker 7>But what we're really observing that are amazing characteristics in

0:33:00.200 --> 0:33:04.080
<v Speaker 7>these pioneers. One is they are massively ambitious. They truly

0:33:04.120 --> 0:33:07.040
<v Speaker 7>see the potential of the technology. They want to get

0:33:07.080 --> 0:33:10.040
<v Speaker 7>the value from it, they're investing in it. They're very

0:33:10.120 --> 0:33:13.960
<v Speaker 7>business value driven. That's one. And their ambition, what we

0:33:14.000 --> 0:33:16.440
<v Speaker 7>observe is anyway one point three to one point five

0:33:16.480 --> 0:33:18.720
<v Speaker 7>times the ambition of the folks who are not investing.

0:33:19.400 --> 0:33:23.920
<v Speaker 7>The second is we clearly see upskilling and reskilling to

0:33:24.000 --> 0:33:29.840
<v Speaker 7>be center of their focus. Forty six percent of people

0:33:30.080 --> 0:33:33.560
<v Speaker 7>will need to be reskilled. It's bigger, it's a big number.

0:33:33.760 --> 0:33:36.200
<v Speaker 7>It's a big number in organizations. You think about organizations

0:33:36.200 --> 0:33:38.360
<v Speaker 7>that are you know, fifty hundred thousand people, you're drunging

0:33:38.360 --> 0:33:40.680
<v Speaker 7>about thousands and thousands of people that need to be reskilled.

0:33:41.400 --> 0:33:44.680
<v Speaker 7>Also related to that are senior executive Sixty percent of

0:33:44.760 --> 0:33:48.000
<v Speaker 7>senior executives need to be upskilled so they know how

0:33:48.040 --> 0:33:51.040
<v Speaker 7>to be good sponsors to actually apply the technology. The

0:33:51.120 --> 0:33:55.040
<v Speaker 7>third thing is intimately understanding costs. I mean, many folks

0:33:55.120 --> 0:33:58.160
<v Speaker 7>understand derect costs. Indrect costs are still not fully in

0:33:58.200 --> 0:34:01.440
<v Speaker 7>the equations understanding the cost of what the stakes not

0:34:01.480 --> 0:34:03.880
<v Speaker 7>only on the build but also once you deploy to

0:34:04.000 --> 0:34:08.040
<v Speaker 7>operate it. The fourth is partnerships. Are you truly engaging

0:34:08.040 --> 0:34:10.279
<v Speaker 7>the right partners in your ecosystem because this is not

0:34:10.360 --> 0:34:13.799
<v Speaker 7>a one partner solved, this is a multi partner solve.

0:34:14.280 --> 0:34:17.080
<v Speaker 7>And then the last thing is which is very important

0:34:17.080 --> 0:34:20.640
<v Speaker 7>to us at VCG, is leading with responsibile AI. You

0:34:20.680 --> 0:34:22.960
<v Speaker 7>can apply the technology, there are a lot of downsides

0:34:23.000 --> 0:34:24.360
<v Speaker 7>to it. How do you put the right controls in?

0:34:24.800 --> 0:34:26.400
<v Speaker 3>If you come into my office or when you come

0:34:26.400 --> 0:34:28.920
<v Speaker 3>into my office and really make the case that I

0:34:29.000 --> 0:34:32.880
<v Speaker 3>need to invest in AI, I'm going to ask you, okay,

0:34:32.920 --> 0:34:34.200
<v Speaker 3>but is it going to make me better?

0:34:34.320 --> 0:34:35.480
<v Speaker 2>Is it going to make me more efficient?

0:34:35.520 --> 0:34:37.240
<v Speaker 3>Because I'm gonna have to up my tech budget.

0:34:37.280 --> 0:34:39.160
<v Speaker 2>You just explain to me how I'm probably gonna need

0:34:39.200 --> 0:34:39.600
<v Speaker 2>to up my.

0:34:39.520 --> 0:34:41.359
<v Speaker 3>Tech budget over a long period of time.

0:34:41.760 --> 0:34:44.200
<v Speaker 2>What's the payoff for me from a P and L perspective?

0:34:44.200 --> 0:34:45.759
<v Speaker 2>Can you make that ROI case?

0:34:45.920 --> 0:34:49.280
<v Speaker 7>Yeah, So there are three pathways to value that we observe.

0:34:49.920 --> 0:34:54.560
<v Speaker 7>The first is what we call deploy, where existing solutions

0:34:54.600 --> 0:34:57.720
<v Speaker 7>already have GENII features. So if you think about Office

0:34:57.719 --> 0:35:00.560
<v Speaker 7>three sixty five pilot, or you think about giub copilot,

0:35:00.680 --> 0:35:04.000
<v Speaker 7>or you think about Zoom, the video application that can

0:35:04.520 --> 0:35:07.680
<v Speaker 7>generate a transcript from a call, it's turning on those

0:35:07.680 --> 0:35:10.640
<v Speaker 7>features and you can start to see value that's tend

0:35:10.680 --> 0:35:13.480
<v Speaker 7>to twenty percent there. The second pathway is what we

0:35:13.520 --> 0:35:17.200
<v Speaker 7>call reshape, which is driving end to end transformations of

0:35:17.239 --> 0:35:19.759
<v Speaker 7>specific functions. You think about the marketing function, you think

0:35:19.880 --> 0:35:22.040
<v Speaker 7>about the finance function, or you think about the customer

0:35:22.040 --> 0:35:25.439
<v Speaker 7>service function, or let's say the underwriting process in an

0:35:25.440 --> 0:35:29.040
<v Speaker 7>insurance company. That's thirty to fifty percent in terms of

0:35:29.040 --> 0:35:32.640
<v Speaker 7>not just productivity unlock, but in terms of speed of performance,

0:35:32.760 --> 0:35:36.280
<v Speaker 7>in terms of value delivery that happens to the customer

0:35:36.280 --> 0:35:38.239
<v Speaker 7>that is at the end of that process. And then

0:35:38.280 --> 0:35:39.960
<v Speaker 7>the third thing that we're observing is what we call

0:35:40.000 --> 0:35:42.680
<v Speaker 7>invent where it's completely new business models. So you think

0:35:42.680 --> 0:35:45.440
<v Speaker 7>about creating a new beauty assistant? Do you think about

0:35:45.480 --> 0:35:49.520
<v Speaker 7>creating new molecules? V Recently and on the invent side,

0:35:49.800 --> 0:35:55.040
<v Speaker 7>we have now done a longitudinal study where AI generated

0:35:55.080 --> 0:36:00.640
<v Speaker 7>molecules have two times the success coming out of clinical

0:36:00.760 --> 0:36:04.880
<v Speaker 7>phase one trials compared to molecules that are created in

0:36:04.920 --> 0:36:07.600
<v Speaker 7>the latter. Look, that's amaze, it is right, And you

0:36:07.600 --> 0:36:09.880
<v Speaker 7>think about ROI there, I mean, the r I is

0:36:10.040 --> 0:36:14.600
<v Speaker 7>so obvious, so we are seeing specific sectors and you know,

0:36:14.680 --> 0:36:18.000
<v Speaker 7>specific functions really go through massive change.

0:36:18.320 --> 0:36:20.600
<v Speaker 3>I think most people as they've come up the AI

0:36:20.680 --> 0:36:25.480
<v Speaker 3>curve and just understanding, are concerned about responsiblity, this responsible

0:36:25.600 --> 0:36:27.480
<v Speaker 3>use of AI, the risk to AI.

0:36:27.560 --> 0:36:29.879
<v Speaker 2>Will AI take over the world? War, the machines take

0:36:29.880 --> 0:36:30.440
<v Speaker 2>over the world?

0:36:30.719 --> 0:36:33.880
<v Speaker 3>How do you frame that risk out and what do

0:36:33.920 --> 0:36:35.200
<v Speaker 3>you suggest to your clients.

0:36:35.640 --> 0:36:37.760
<v Speaker 7>So one of the things we tell our clients is clearly,

0:36:37.760 --> 0:36:39.840
<v Speaker 7>there's so much of value when you adopt this technology,

0:36:39.880 --> 0:36:42.200
<v Speaker 7>but you have to do it in a really responsible way.

0:36:42.680 --> 0:36:45.680
<v Speaker 7>So what is your responsible AI framework to put against it?

0:36:46.560 --> 0:36:49.399
<v Speaker 7>What is your responsibili strategy? How do you really think

0:36:49.440 --> 0:36:52.200
<v Speaker 7>about responsible II governance. What are your lines of defense?

0:36:52.200 --> 0:36:54.520
<v Speaker 7>How do you actually implement the right structures in place?

0:36:55.400 --> 0:36:58.239
<v Speaker 7>When you think about processes, your product development process or

0:36:58.239 --> 0:37:03.120
<v Speaker 7>your portfolio monitoring process, how you really including responsible AI

0:37:03.160 --> 0:37:06.160
<v Speaker 7>in it? For example, when you're building GENI solutions that

0:37:06.200 --> 0:37:08.680
<v Speaker 7>have lms in the middle of it, are you really

0:37:08.719 --> 0:37:12.160
<v Speaker 7>doing proper verification and validation to ensure that llms perform

0:37:12.239 --> 0:37:14.520
<v Speaker 7>to your objective function and they don't start doing something

0:37:14.520 --> 0:37:16.439
<v Speaker 7>you don't want it to do. Do you have things

0:37:16.440 --> 0:37:18.840
<v Speaker 7>in place for that? So there are a number of

0:37:18.880 --> 0:37:22.480
<v Speaker 7>these different pieces of the entire responsible AI framework. So

0:37:22.520 --> 0:37:25.960
<v Speaker 7>we have a comprehensive framework. We'll lead with that at

0:37:25.960 --> 0:37:29.080
<v Speaker 7>our clients, and it is a capability built So just

0:37:29.120 --> 0:37:31.759
<v Speaker 7>like you have a capability built around risk and compliance,

0:37:32.120 --> 0:37:34.200
<v Speaker 7>there is now a capability built around responsibily.

0:37:34.239 --> 0:37:34.960
<v Speaker 2>Am interesting?

0:37:35.320 --> 0:37:38.919
<v Speaker 3>I know at BCG you have the ten twenty seventy U.

0:37:39.040 --> 0:37:39.719
<v Speaker 2>Yeah, what is that?

0:37:41.160 --> 0:37:46.319
<v Speaker 7>So when we think about truly driving transformative change with technology,

0:37:46.360 --> 0:37:50.560
<v Speaker 7>at the core, our ten twenty seventy is ten percent

0:37:50.719 --> 0:37:54.239
<v Speaker 7>is the algorithm, twenty percent is that data and the

0:37:54.320 --> 0:37:59.920
<v Speaker 7>technology components, and seventy percent is the change management processor engineering,

0:38:00.080 --> 0:38:04.320
<v Speaker 7>the adoption of the technology. So to drive real value

0:38:04.400 --> 0:38:07.640
<v Speaker 7>you need all three. Right, were many organizations I would

0:38:07.640 --> 0:38:09.799
<v Speaker 7>say focus on the ten and the twenty yep, but

0:38:09.880 --> 0:38:13.480
<v Speaker 7>not fully focus on the seventy. And we lead with

0:38:13.800 --> 0:38:16.920
<v Speaker 7>the ten twenty seventy that really drives, so we deliver

0:38:17.520 --> 0:38:20.759
<v Speaker 7>I would say impact and outcomes, not systems.

0:38:21.320 --> 0:38:21.640
<v Speaker 2>Right.

0:38:21.880 --> 0:38:24.040
<v Speaker 3>So I mean it sounds like in order for a

0:38:24.080 --> 0:38:28.600
<v Speaker 3>company to really champion AI within your business, the commitment

0:38:28.640 --> 0:38:32.280
<v Speaker 3>has to be from the board to the c suite.

0:38:32.040 --> 0:38:33.799
<v Speaker 2>Down all the way through the organization.

0:38:33.840 --> 0:38:37.120
<v Speaker 3>Because it sounds like, A it's a big financial investment,

0:38:37.160 --> 0:38:38.520
<v Speaker 3>but B it's a little bit of a different way

0:38:38.560 --> 0:38:40.560
<v Speaker 3>of thinking about your business.

0:38:40.840 --> 0:38:41.960
<v Speaker 2>How do you achieve that?

0:38:43.640 --> 0:38:47.560
<v Speaker 7>I think it goes back to if you think about

0:38:47.600 --> 0:38:50.240
<v Speaker 7>the unbroken chain of why, why does the company exist?

0:38:50.360 --> 0:38:52.760
<v Speaker 7>What value does it add to its customers? What value

0:38:52.760 --> 0:38:55.040
<v Speaker 7>does it add to it employees, how does it contribute

0:38:55.040 --> 0:38:58.920
<v Speaker 7>to society? If you really unpack the why, I think

0:38:59.160 --> 0:39:01.600
<v Speaker 7>this does need to start at the top. So what

0:39:01.800 --> 0:39:07.560
<v Speaker 7>is the competitive differentiation that technology or GENI can drive

0:39:07.600 --> 0:39:10.120
<v Speaker 7>for an organization? It starts from there, and that is

0:39:10.160 --> 0:39:13.080
<v Speaker 7>a CEO level point, and then it migrates into what

0:39:13.120 --> 0:39:14.759
<v Speaker 7>does it do for my customer, What does it do

0:39:14.840 --> 0:39:16.960
<v Speaker 7>for my product? What does it do for my processes?

0:39:17.000 --> 0:39:19.759
<v Speaker 7>What does it do for my employees? All of that

0:39:19.880 --> 0:39:25.600
<v Speaker 7>then follows through. So if you think about value, customer intimacy, value.

0:39:26.239 --> 0:39:29.000
<v Speaker 7>We have a car manufacturer that has integrated GENI into

0:39:29.000 --> 0:39:31.680
<v Speaker 7>their cars. They sell two million cars a year. That

0:39:31.960 --> 0:39:35.360
<v Speaker 7>is changing the way in which consumers experience their product.

0:39:35.680 --> 0:39:39.239
<v Speaker 7>You think about product lines. Google recently came out with

0:39:39.280 --> 0:39:41.960
<v Speaker 7>Google Wids, where you can actually now create videos on demand.

0:39:41.960 --> 0:39:45.759
<v Speaker 7>The marginal cost of creativity has dropped substantially. You can

0:39:45.760 --> 0:39:48.480
<v Speaker 7>build not only images, but you can build presentations, you

0:39:48.480 --> 0:39:51.000
<v Speaker 7>can build videos. It's so easy to do it. You

0:39:51.040 --> 0:39:54.760
<v Speaker 7>think about process excellence. We already talked about our software development.

0:39:54.840 --> 0:39:59.440
<v Speaker 7>You have a large financial global bank that is looking

0:39:59.520 --> 0:40:02.600
<v Speaker 7>to imp productivity by thirty to forty percent. I mean,

0:40:02.640 --> 0:40:06.080
<v Speaker 7>these things are real, and I think the CEOs clearly

0:40:06.120 --> 0:40:09.279
<v Speaker 7>know that they can drive differential competitive advantage across all

0:40:09.320 --> 0:40:11.360
<v Speaker 7>of these different dimensions.

0:40:11.960 --> 0:40:15.160
<v Speaker 3>What's the biggest pushback you get from your clients about this?

0:40:15.400 --> 0:40:16.200
<v Speaker 7>Is it the cost?

0:40:16.360 --> 0:40:20.480
<v Speaker 3>Is it the I don't know, I'm just technology concerned

0:40:20.480 --> 0:40:21.240
<v Speaker 3>about technology.

0:40:21.280 --> 0:40:22.319
<v Speaker 2>What's the pushback you get?

0:40:24.320 --> 0:40:27.560
<v Speaker 7>I think the biggest thing that we see. If I

0:40:27.560 --> 0:40:33.319
<v Speaker 7>think about CEOs, their entire focus is on how can

0:40:33.360 --> 0:40:37.839
<v Speaker 7>I get to this value fast? So is it going

0:40:37.920 --> 0:40:43.279
<v Speaker 7>to really change the trajectory of my business? Talk to

0:40:43.320 --> 0:40:46.480
<v Speaker 7>me about outcomes that I can deliver too. So when

0:40:46.520 --> 0:40:49.239
<v Speaker 7>we think about the three dimensions of you know what

0:40:49.400 --> 0:40:52.240
<v Speaker 7>really matters to these folks is can I deliver outcomes

0:40:52.280 --> 0:40:54.880
<v Speaker 7>at scale? Don't talk to me about an experiment to

0:40:54.880 --> 0:40:58.040
<v Speaker 7>talk about it at scale? Can I combine JENNYI with

0:40:58.120 --> 0:41:02.000
<v Speaker 7>predictive AI and other technologies? Automation? Show me the end

0:41:02.000 --> 0:41:04.880
<v Speaker 7>to end, not just the once sliver of this. And

0:41:04.920 --> 0:41:07.040
<v Speaker 7>then I think the third is the ten twenty seventy.

0:41:07.400 --> 0:41:08.960
<v Speaker 7>A lot of folks need with oh this is such

0:41:09.000 --> 0:41:11.960
<v Speaker 7>cool technology, but can you really show me the impact?

0:41:12.000 --> 0:41:16.600
<v Speaker 7>Will my people be better off when they adopt the technology?

0:41:17.239 --> 0:41:18.719
<v Speaker 7>That's a big part of our PC. So I think

0:41:18.719 --> 0:41:21.640
<v Speaker 7>those are the three things outcome at scale, predictive plus

0:41:21.680 --> 0:41:25.480
<v Speaker 7>plus generative AI plus automation and then the third pieces

0:41:25.480 --> 0:41:26.520
<v Speaker 7>of ten twenty seventy.

0:41:26.800 --> 0:41:30.040
<v Speaker 3>All right, that was my conversation with Sesshire, he's a

0:41:30.040 --> 0:41:32.600
<v Speaker 3>North American co chair of the Boston Consulting Group. Talking

0:41:32.600 --> 0:41:34.960
<v Speaker 3>about AI. We were up at their Expo condors up

0:41:34.960 --> 0:41:38.000
<v Speaker 3>in Boston last week. Can't say AI. It was front

0:41:38.000 --> 0:41:41.279
<v Speaker 3>and center as BCG talks to their clients. That's what

0:41:41.320 --> 0:41:43.960
<v Speaker 3>the CEOs want to talk about in one strategy, about

0:41:43.960 --> 0:41:46.399
<v Speaker 3>how to invest and when to invest and how much

0:41:46.480 --> 0:41:48.520
<v Speaker 3>to invest. So it was good to check in with

0:41:48.560 --> 0:41:50.000
<v Speaker 3>some of the smart folks at BCG.

0:41:50.440 --> 0:41:54.600
<v Speaker 1>This is the Bloomberg Intelligence Podcast, available on Apple, Spot,

0:41:54.680 --> 0:41:57.680
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0:42:01.080 --> 0:42:04.560
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0:42:04.600 --> 0:42:07.720
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