WEBVTT - Dimon Likens AI’s Transformational Impact to Steam Engine

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg business

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<v Speaker 1>Week Inside from the reporters and editors who bring you

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<v Speaker 1>America's most trusted business magazine, plus global business, finance and

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<v Speaker 1>tech news. The Bloomberg Business Week Podcast with Carol Messer

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<v Speaker 1>and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Let's get to one of our most read stories that's

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<v Speaker 2>definitely on our radar today, and this is the Wall

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<v Speaker 2>Street Voice. Tim. Everyone listens to who's talking about AI

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<v Speaker 2>and steam engines? And that's where we're going to go now.

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<v Speaker 3>Yeah, that boy is JP Morgan Chief executive Officer Jamie

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<v Speaker 3>dimond out with his annual shareholder letter, always a must read,

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<v Speaker 3>of course for the investment community, and in it, Diamond

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<v Speaker 3>devoted a chunk to the importance of artificial intelligence, saying

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<v Speaker 3>maybe the biggest issue that his bank is grappling with.

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<v Speaker 3>Let's get into it with Sally bake Well, Bloomberg News

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<v Speaker 3>America's finance team leader. She joins us here into the studio. Sally,

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<v Speaker 3>always the annual letter chock full of stuff to talk about,

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<v Speaker 3>but AI seems to really be getting the attention right now.

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<v Speaker 3>I'm wondering how you've seen Jamie Diamond presenting this as

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<v Speaker 3>a challenge that his bank is dealing with rather than

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<v Speaker 3>an opportunity.

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<v Speaker 4>Yeah.

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<v Speaker 5>Well, I mean, first of all, we watch Jamie Diamond,

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<v Speaker 5>not just because he's the CEO of the biggest American bank,

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<v Speaker 5>but because he, perhaps more than any of his big

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<v Speaker 5>banking peers, kind of weighs in in a more forceful

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<v Speaker 5>and powerful way, and we really listen when he does.

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<v Speaker 5>And that's exactly what he did in this letter and

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<v Speaker 5>with AI, which you know, he did take the moment

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<v Speaker 5>to outline the sort of bad actors that you know,

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<v Speaker 5>you have to be very careful of and on your

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<v Speaker 5>guard toward. But he said that the bank has been,

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<v Speaker 5>you know, over the past ten years, doubling down on

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<v Speaker 5>the technology. It is a massed thousands of data science

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<v Speaker 5>experts and AI experts, it's beginning to explore generative AI,

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<v Speaker 5>and it's continuing to invest. So I think the opportunity,

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<v Speaker 5>you know, probably surpasses the level of the challenge it

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<v Speaker 5>is for them to make sure that they are using

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<v Speaker 5>the technology in the right way.

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<v Speaker 2>Remind us, because you know, it was Tom Ke who

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<v Speaker 2>starting on surveillance and he's like, you know, what is

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<v Speaker 2>in every CEO kind of write this kind of a

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<v Speaker 2>letter and stuff. And I think it was Shanale who answered,

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<v Speaker 2>Shanali Basuk, who's that, you know, not everybody has first

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<v Speaker 2>of all, has seen so many different market cycles and

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<v Speaker 2>difficult cycles and has come out shining right and has

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<v Speaker 2>done really well, has managed them. And this is why

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<v Speaker 2>when Jamie Diamond sally talks about something, we kind of care.

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<v Speaker 2>That's right.

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<v Speaker 5>I mean, he's the longest serving bank CEO of the

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<v Speaker 5>big US banks, and he's the only one that is

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<v Speaker 5>still there since the you know, the financial is remarkable,

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<v Speaker 5>right indeed, and he went through the financial crisis, and

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<v Speaker 5>he has this very expensive perspective and he has you know,

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<v Speaker 5>the data of JP Morgan, his fingertips. The amounts of

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<v Speaker 5>sort of economic knowledge and the breadth of economic knowledge

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<v Speaker 5>he has is obviously worth listening to.

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<v Speaker 2>Just to follow on AI. I mean AI not new

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<v Speaker 2>to Wall Street, we know that, but it does sound

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<v Speaker 2>like Jamie Diamond is spending even more attention or efforts

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<v Speaker 2>money focus on the bank when it comes to artificial

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<v Speaker 2>intelligence and especially when it comes to generative AI.

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<v Speaker 5>Yeah, I think you know, he today really outlined the

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<v Speaker 5>potential of this technology. You know, to transform essentially the world.

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<v Speaker 5>It's not just about his business, although he said that

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<v Speaker 5>it could completely transform some of their business lines, but

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<v Speaker 5>it will have a huge, huge ramifications for society at large.

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<v Speaker 5>And that's why he introduced you know, the steam engine,

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<v Speaker 5>the printing press, the internet.

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<v Speaker 2>He's likely had changed our worlds forever, right exactly.

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<v Speaker 5>He's likening it, He's putting it in that bucket. Yeah.

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<v Speaker 3>I guess one thing that I think about when when

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<v Speaker 3>we hear that is where the opportunities are. I mean,

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<v Speaker 3>certainly we talk a lot about Nvidia and the opportunities

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<v Speaker 3>when it comes to tech companies, but if it really

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<v Speaker 3>does touch every company, I mean, where does someone like

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<v Speaker 3>Jamie Dimond see the opportunities here?

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<v Speaker 5>Well, I mean he said today that he could see

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<v Speaker 5>it having the potential to augment every virtually.

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<v Speaker 3>Every job, every job.

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<v Speaker 5>Yeah, and you know, it could make people more. He

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<v Speaker 5>has also said if you recall that, you know, it

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<v Speaker 5>could cut down the working day for a lot of

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<v Speaker 5>people to about three and a half days. AI could

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<v Speaker 5>help in that regard. I mean, I think for banks

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<v Speaker 5>the opportunities are sort of limitless. You know, there's that

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<v Speaker 5>trading operations, that trading algorithms and sort of from the

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<v Speaker 5>hiring perspective and the talent perspective. You know, these banks

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<v Speaker 5>are increasingly filing patents for AI t uesda AI in

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<v Speaker 5>these sort of operations. So and it's just a general

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<v Speaker 5>huge efficiency push and they are so competitive expenses matter.

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<v Speaker 5>Anything they can do to bring those things down as

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<v Speaker 5>an AI is one way of doing it.

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<v Speaker 3>We talked about the four day work week last week.

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<v Speaker 3>I was just thinking about I have to exactly, how

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<v Speaker 3>does that sound.

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<v Speaker 2>To any takers for two day work week? No, it's

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<v Speaker 2>just kind of interesting from the financial community.

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<v Speaker 1>That was.

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<v Speaker 2>Steve Cohen, forgive me who, but also who said not

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<v Speaker 2>his workers, anybody who's managing a portfolio. You know, market's open,

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<v Speaker 2>you got to be there. But it is interesting to

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<v Speaker 2>hear from these financial types that were very much especially

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<v Speaker 2>post pandemic after a little bit a while or like

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<v Speaker 2>we watch it back in the office. So it's interesting

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<v Speaker 2>to hear him talk about and I get I understand

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<v Speaker 2>he's talking about AI across a lot of different industries,

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<v Speaker 2>how it could impact the world. What was the most

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<v Speaker 2>surprising thing in this letter? I mean he covers a

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<v Speaker 2>lot of.

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<v Speaker 5>Stuff he did. I think what was surprising, was he

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<v Speaker 5>He has come out swinging against a number of things regulation,

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<v Speaker 5>the basel endgame proposals. He's been a long time outspoken critic.

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<v Speaker 5>He went a little deeper on that. You know, he's

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<v Speaker 5>he's said for a while that these regulations will harm Americans,

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<v Speaker 5>that their arbitrary, that their rife with duplication. All of

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<v Speaker 5>these things emerged in the letter again, but he actually

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<v Speaker 5>this time said, you know, bank management boards and bank teams,

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<v Speaker 5>our relationships with regulators are actually deteriorating and are not

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<v Speaker 5>that good, which was quite a surprising, nuanced comment to make.

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<v Speaker 5>And you also sort of implied that regulators don't necessarily

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<v Speaker 5>know exactly what they're doing, because he said a lot

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<v Speaker 5>of them have not been practitioners in the industry, so

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<v Speaker 5>it's just one level above. And he also took aim

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<v Speaker 5>at pro shareholder proxy advisory firms. He again he has

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<v Speaker 5>sort of long lambasted investors who rely solely on those

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<v Speaker 5>firms like Biome Major right exactly two major ones in

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<v Speaker 5>the in the US, ISS and Glass Lewis. He says

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<v Speaker 5>investors should do their own homework, They shouldn't rely on

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<v Speaker 5>these firms for recommendations for how they should vote their

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<v Speaker 5>stock on contentious issues like executive conversation or whether a

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<v Speaker 5>merger should go through or a climate policy. I mean,

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<v Speaker 5>he says, you know, do your own homework, and how

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<v Speaker 5>do you know that what they're providing is accurate? Here

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<v Speaker 5>he actually went out after the firms and said, you

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<v Speaker 5>know that they have too much sway and undue influence

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<v Speaker 5>his work.

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<v Speaker 3>Interesting big picture, at least in the near term. He

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<v Speaker 3>doesn't seem as optimistic as some others about the US

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<v Speaker 3>economy and the idea of a soft landing being all

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<v Speaker 3>but guaranteed.

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<v Speaker 5>Yes, that's right. He you know, market expectations that soft

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<v Speaker 5>landing is sort of seventy putting it at a seventy

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<v Speaker 5>to eighty percent. He says the odds would be much

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<v Speaker 5>lower than that. I mean, he continued to sort of

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<v Speaker 5>couch that sort of assessment of the economy where consumers

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<v Speaker 5>remain resilient and they're still spending, but there is this

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<v Speaker 5>huge overhang of sort of inflationary pressures of quantitative tightening,

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<v Speaker 5>and of course it's very fractious geopolitical background with wars

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<v Speaker 5>in Ukraine and the Middle East and all of these

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<v Speaker 5>things make it could could sort of add up to

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<v Speaker 5>a very unprecedented situation which we can't predict.

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<v Speaker 2>Any weather references this time around.

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<v Speaker 3>Not disappointed, I will say, I mean to that point, Carol,

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<v Speaker 3>he did talk about interest rates ranging from two percent

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<v Speaker 3>all the way up to eight percent, so that could

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<v Speaker 3>be looked at us the sort of weather prediction.

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<v Speaker 2>That's true, But they're ready for any scenario. As his point,

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<v Speaker 2>he said that they're ready to do it anything. Well,

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<v Speaker 2>I wonder if that's kind of a setup. If I

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<v Speaker 2>think about on Friday when we get the jobs report,

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<v Speaker 2>that's a great way to kind of be like, hey, guys,

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<v Speaker 2>we're on it right ahead of earnings.

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<v Speaker 5>Right, Yeah, it's always interesting that this comes out just

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<v Speaker 5>before earnings and they report on Friday. And I think

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<v Speaker 5>you know, a big the big thing that we are

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<v Speaker 5>all looking at in earnings will be how banks alter

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<v Speaker 5>their guidance for net interest income, which is their biggest

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<v Speaker 5>essentially their biggest source of revenue as banks, because you know,

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<v Speaker 5>the trajectory of interest rates will have a huge impact

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<v Speaker 5>on that.

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<v Speaker 2>Sally Bake Well, of course, Sally is America's finance team

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<v Speaker 2>leader at Bloomberg News.

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<v Speaker 1>Here in studio, you're listening to the Bloomberg Business Week podcast.

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<v Speaker 1>Catch us Live weekday afternoons from two to five pm

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<v Speaker 1>Eastern Listen on Apple car Play and then brought auto

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<v Speaker 1>with a Bloomberg Business act or want us live on YouTube?

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<v Speaker 2>All right, Tim, So what happens when our Bloomberg Intelligence

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<v Speaker 2>analysts sort through the barrel to find the good apples

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<v Speaker 2>across sectors and regions a group of companies that come

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<v Speaker 2>from a larger group of high confidence focus ideas that

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<v Speaker 2>BI identifies on an ongoing basis. Do you know what happens?

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<v Speaker 3>I know what happens because well I prepared for the

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<v Speaker 3>segment you did. But what they do is they come

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<v Speaker 3>up with, at least this time around the ten companies

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<v Speaker 3>to watch in the second quarter. This story featured in

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<v Speaker 3>the new issue of Business Week magazines, available on newsstands,

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<v Speaker 3>on the Bloomberg terminal and at Bloomberg dot com slash business.

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<v Speaker 2>All right, so let's get more on those ten companies.

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<v Speaker 2>Back with us, Bloomberg Intelligence Senior European strategist and Director

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<v Speaker 2>of Research Content, Tim craig Head. He is joining us

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<v Speaker 2>from London. Tim. We always love going through these lists

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<v Speaker 2>with you, so take it away. We kind of set

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<v Speaker 2>it up. Is there anything we needed, anything else we

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<v Speaker 2>need to know is how you guys curated this list.

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<v Speaker 4>Thanks for having me on. And yeah, I would say

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<v Speaker 4>that one of the things that happens when we come

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<v Speaker 4>up and do these sort of things is that the

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<v Speaker 4>Business Week folks come up with some really cool graphics

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<v Speaker 4>in the magazine and in particular if you look at

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<v Speaker 4>it on the online version. But the device to say,

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<v Speaker 4>from Bloomberg Intelligences perspective, this list of ten you refer

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<v Speaker 4>to it is part of a broader list of what

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<v Speaker 4>we call focus ideas, and the focus ideas are companies

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<v Speaker 4>where we've got a very strong fundamental view, a high

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<v Speaker 4>conviction view that we think is differentiated from the market

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<v Speaker 4>and what the market seems to be discounting, you know,

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<v Speaker 4>as it relates to the stocks and whatnot. And importantly,

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<v Speaker 4>there's a catalyst ahead that we think can change the

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<v Speaker 4>market's point of view assuming we're correct. And importantly, with

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<v Speaker 4>these ten companies that we focused on here, they all

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<v Speaker 4>have really key catalysts coming up for the second quarter,

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<v Speaker 4>and that's why we've picked these. There's two of them

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<v Speaker 4>that are cautious views, there's eight of them that are

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<v Speaker 4>positive views, they span sectors, they span regions, and yeah,

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<v Speaker 4>that's the setup.

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<v Speaker 3>Okay, So let's talk about some of those sectors. I

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<v Speaker 3>want to start with tech in innovation because a couple

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<v Speaker 3>and these are not. I would argue that not every

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<v Speaker 3>one of these companies on here is a household name,

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<v Speaker 3>and certainly some of them are on the smaller side.

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<v Speaker 3>So talk about what you found in tech and innovation

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<v Speaker 3>with the team found there.

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<v Speaker 4>Yeah. Absolutely. So you know, there's an awful lot going

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<v Speaker 4>on in the world of technology these days about AI.

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<v Speaker 4>You can't not talk about it. And there's two companies

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<v Speaker 4>here that we've got on the list that are related

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<v Speaker 4>to artificial intelligence. One is Salesforce, which is the world's

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<v Speaker 4>largest infrastructure software company. And notwithstanding how big this company is,

0:11:10.120 --> 0:11:13.400
<v Speaker 4>it still actually may not be a household name given

0:11:13.440 --> 0:11:18.199
<v Speaker 4>the nature of the beast. Importantly, any company that is

0:11:18.440 --> 0:11:21.880
<v Speaker 4>looking at all the information they get from their customers

0:11:22.400 --> 0:11:30.240
<v Speaker 4>probably relies on Salesforce and their software programs, and they're

0:11:30.240 --> 0:11:33.520
<v Speaker 4>going through two things right now. One is a big

0:11:33.640 --> 0:11:38.880
<v Speaker 4>tech infrastructure software spending cycle that we think is gaining momentum,

0:11:39.040 --> 0:11:42.600
<v Speaker 4>and then secondly, it's the need for information to feed

0:11:42.760 --> 0:11:46.760
<v Speaker 4>AI programs. And initiatives and salesforce is right smack in

0:11:46.800 --> 0:11:49.640
<v Speaker 4>the middle of all of this. The other one is

0:11:49.720 --> 0:11:51.920
<v Speaker 4>a company called ten Cent, and if you're in China,

0:11:52.080 --> 0:11:55.319
<v Speaker 4>you definitely know about ten Cent. It has a lot

0:11:55.360 --> 0:12:00.199
<v Speaker 4>of things going on within the world of online gaming. Importantly,

0:12:00.240 --> 0:12:05.120
<v Speaker 4>from our perspective, they've gotten into short videos and AI

0:12:05.440 --> 0:12:11.200
<v Speaker 4>is enhancing the way that they're generating revenue from advertising.

0:12:11.400 --> 0:12:13.960
<v Speaker 4>Both of those are feeding ten Cents business that we

0:12:14.000 --> 0:12:17.400
<v Speaker 4>think is underappreciated by the market. The last one I

0:12:17.400 --> 0:12:20.720
<v Speaker 4>would mention is a company not in the world of

0:12:20.760 --> 0:12:25.040
<v Speaker 4>classic tech, but technology in the world of medicine. A

0:12:25.040 --> 0:12:26.199
<v Speaker 4>company called Penumbra.

0:12:26.920 --> 0:12:28.480
<v Speaker 3>That's when I was thinking of when I say, not

0:12:28.520 --> 0:12:30.960
<v Speaker 3>a household man exactly.

0:12:31.440 --> 0:12:37.080
<v Speaker 4>So, these guys make computer assisted vacuum technology products, and

0:12:37.120 --> 0:12:42.400
<v Speaker 4>you say, what is that. Think blood clots, and usually

0:12:42.480 --> 0:12:46.960
<v Speaker 4>the way you treat blood clots is with anti coagulate drugs,

0:12:47.400 --> 0:12:52.480
<v Speaker 4>and they've got all sorts of other ramifications. Penumbra's computer

0:12:52.520 --> 0:12:57.079
<v Speaker 4>assisted vacuum technology can go in and actually suck blood

0:12:57.120 --> 0:13:01.800
<v Speaker 4>plots out of auteries and veins, even really small ones,

0:13:01.960 --> 0:13:03.959
<v Speaker 4>and you don't have to take the drugs. It's great.

0:13:04.040 --> 0:13:06.520
<v Speaker 4>And again all three of these we think could generate

0:13:06.600 --> 0:13:09.559
<v Speaker 4>better than anticipated revenue, margins, earnings.

0:13:09.679 --> 0:13:11.600
<v Speaker 2>And I just want to mention when you talked about Salesforce,

0:13:11.640 --> 0:13:15.640
<v Speaker 2>we actually spoke with Alice stein Glass, executive EP Gentleman

0:13:15.960 --> 0:13:17.959
<v Speaker 2>manager over at Salesforce, and they talked about the role

0:13:18.000 --> 0:13:21.920
<v Speaker 2>of jen Ai and the role of data and making

0:13:21.960 --> 0:13:24.280
<v Speaker 2>it ready for their customers. So she kind of got

0:13:24.280 --> 0:13:27.560
<v Speaker 2>into some of the growth initiatives that you've that you

0:13:27.640 --> 0:13:30.920
<v Speaker 2>referred to. Another theme we want to touch on, and

0:13:30.920 --> 0:13:33.719
<v Speaker 2>that has to do with actually two Chinese companies walk

0:13:33.800 --> 0:13:34.280
<v Speaker 2>us through that.

0:13:36.160 --> 0:13:41.400
<v Speaker 4>Yeah, so China is certainly having its challenges. I think

0:13:41.960 --> 0:13:46.320
<v Speaker 4>you still are clearly very well aware of what's going

0:13:46.360 --> 0:13:49.640
<v Speaker 4>on in the world of Chinese property. It's definitely under

0:13:49.640 --> 0:13:55.560
<v Speaker 4>pressure on all sorts of different fronts, and there's also

0:13:56.000 --> 0:14:01.040
<v Speaker 4>other issues. The stock market has fallen and whatnot. There's

0:14:01.520 --> 0:14:05.320
<v Speaker 4>regulatory measures that are being put in place to try

0:14:05.320 --> 0:14:09.320
<v Speaker 4>to curtail some of these problems and change the course.

0:14:10.800 --> 0:14:15.640
<v Speaker 4>Part of those are actually putting a damper on what's

0:14:15.640 --> 0:14:20.520
<v Speaker 4>going on in the world of initial public offerings and

0:14:20.720 --> 0:14:26.479
<v Speaker 4>secondary market offerings in the stock market. And CSC Financial

0:14:26.680 --> 0:14:30.280
<v Speaker 4>is one of China's biggest brokerage firms, and we think

0:14:30.400 --> 0:14:34.800
<v Speaker 4>that they are due to disappoint through the first half

0:14:34.840 --> 0:14:39.160
<v Speaker 4>of the year because of this. Another one is a

0:14:39.160 --> 0:14:42.320
<v Speaker 4>company called Chow Tai Fook. It's based in Hong Kong.

0:14:42.760 --> 0:14:48.320
<v Speaker 4>It's the biggest Hong Kong based China jeweler retail company.

0:14:49.240 --> 0:14:52.520
<v Speaker 4>If you're in Hong Kong, you definitely know Chata Fuk.

0:14:52.720 --> 0:14:56.480
<v Speaker 4>And it's interesting because not only is there a negative

0:14:56.520 --> 0:15:01.160
<v Speaker 4>effect because of what's going on with property and consumer

0:15:01.240 --> 0:15:06.800
<v Speaker 4>sentiment on jewelry purchases, but Hong konger specifically are going

0:15:06.840 --> 0:15:10.840
<v Speaker 4>to find things cheaper on the mainland, They're going across

0:15:10.880 --> 0:15:13.720
<v Speaker 4>the border, and all of this we think is driving

0:15:14.680 --> 0:15:19.000
<v Speaker 4>a disappointing trend for Hong Kong retail sales. And Childtai

0:15:19.120 --> 0:15:22.000
<v Speaker 4>Book is a poster child for this. So both of

0:15:22.040 --> 0:15:22.920
<v Speaker 4>those are concerns.

0:15:22.960 --> 0:15:25.320
<v Speaker 2>As you said, great illustrations by the Bloomberg Business Week team.

0:15:25.320 --> 0:15:27.360
<v Speaker 2>It's all about apples, and these apples are a little

0:15:27.360 --> 0:15:30.240
<v Speaker 2>bit bruised, so kind of fun to see that go along.

0:15:30.600 --> 0:15:31.720
<v Speaker 2>We've got another sector.

0:15:31.520 --> 0:15:33.960
<v Speaker 3>Yeah, I want to talk construction. Here some interesting names

0:15:33.960 --> 0:15:37.840
<v Speaker 3>from the Blueger Intelligence team talking about potential beneficiaries of

0:15:37.920 --> 0:15:42.600
<v Speaker 3>a construction boom. What do you find, tim.

0:15:41.320 --> 0:15:45.720
<v Speaker 4>Well, So, Taylor Morrison is a home builder and they're

0:15:45.760 --> 0:15:49.760
<v Speaker 4>ones that focus on larger communities. They've got more and

0:15:49.800 --> 0:15:53.440
<v Speaker 4>more growth coming from Arizona and Florida, and we think

0:15:53.440 --> 0:15:57.160
<v Speaker 4>that there's an opportunity to see better margin improvement given

0:15:57.200 --> 0:16:02.320
<v Speaker 4>the way that they're driving their business and simple Oshkosh

0:16:02.400 --> 0:16:07.040
<v Speaker 4>is more on the bigger commercial side, and it's not

0:16:07.160 --> 0:16:11.320
<v Speaker 4>only construction, but they also do other commercial vehicles like

0:16:11.400 --> 0:16:18.120
<v Speaker 4>fire trucks or ambulances or the new postal service electric vehicle,

0:16:18.520 --> 0:16:22.040
<v Speaker 4>so all sorts of projects there. But generally there's concern

0:16:22.200 --> 0:16:26.200
<v Speaker 4>that on that commercial side that there's a downcycle actually

0:16:26.360 --> 0:16:30.360
<v Speaker 4>that's developing, and we think Oshkosh is going to be

0:16:30.400 --> 0:16:34.400
<v Speaker 4>able to actually surprise on the positive because that's such

0:16:34.520 --> 0:16:36.920
<v Speaker 4>a big backlog and some of these new initiatives that

0:16:36.920 --> 0:16:38.480
<v Speaker 4>are playing through to the revenue stream.

0:16:38.880 --> 0:16:41.520
<v Speaker 2>All Right, Finally, a sector we love to talk about

0:16:41.560 --> 0:16:45.080
<v Speaker 2>in travel. And you got two names in that walk

0:16:45.160 --> 0:16:47.440
<v Speaker 2>us through those two. A Core is one of them.

0:16:48.360 --> 0:16:52.000
<v Speaker 4>Yes, so there's one that's absolutely classic travel. In the

0:16:52.040 --> 0:16:55.320
<v Speaker 4>other I'm stretching things a little bit by suggesting travel.

0:16:56.240 --> 0:16:59.000
<v Speaker 3>So the mission was created for a reason.

0:16:59.520 --> 0:17:01.440
<v Speaker 2>I think it's.

0:17:00.720 --> 0:17:01.520
<v Speaker 3>Something like that.

0:17:01.720 --> 0:17:06.920
<v Speaker 4>There you go. Yeah, So Acor is a hotel company,

0:17:07.800 --> 0:17:11.920
<v Speaker 4>and I think a lot of the listeners here are

0:17:12.280 --> 0:17:14.880
<v Speaker 4>probably stayed at one of their hotels. They go from

0:17:14.920 --> 0:17:19.360
<v Speaker 4>the very high end to more modest economy brands. The

0:17:19.359 --> 0:17:22.040
<v Speaker 4>thing that anybody who stayed in an hotel recently is

0:17:22.080 --> 0:17:26.640
<v Speaker 4>probably found is how expensive it is. You know, it's

0:17:26.760 --> 0:17:29.679
<v Speaker 4>pretty shocking sometimes what the rates are that you have

0:17:29.760 --> 0:17:34.960
<v Speaker 4>to pay. That's feeding Acor's revenue. There is a global

0:17:35.119 --> 0:17:39.480
<v Speaker 4>travel cycle that we think is stronger and longer, and

0:17:40.000 --> 0:17:42.680
<v Speaker 4>Acor is is in the front of that, both from

0:17:42.720 --> 0:17:48.000
<v Speaker 4>a europe and an Asian travel base. Interesting they are

0:17:48.080 --> 0:17:52.239
<v Speaker 4>French French, their home is in France, and you know

0:17:52.359 --> 0:17:55.439
<v Speaker 4>it's only a small part of their overall portfolio. But

0:17:55.480 --> 0:17:58.640
<v Speaker 4>the Paris Olympics this summer are the catalyst we're looking

0:17:58.680 --> 0:18:00.560
<v Speaker 4>for because pretty soon we're going to start to see

0:18:00.560 --> 0:18:03.000
<v Speaker 4>the early bookings that they release in terms of the

0:18:03.000 --> 0:18:06.200
<v Speaker 4>Paris Olympics, and it should be quite robust.

0:18:06.640 --> 0:18:09.240
<v Speaker 2>The other one twenty seconds though, Yeah, go ahead.

0:18:09.359 --> 0:18:12.719
<v Speaker 4>Yes, Hirelli. It's a tire company, and yes you have

0:18:12.800 --> 0:18:14.320
<v Speaker 4>to travel if you get in your car and you

0:18:14.359 --> 0:18:18.880
<v Speaker 4>spend those tires. They are moving in a production basis

0:18:18.880 --> 0:18:23.320
<v Speaker 4>to Mexico and Romania. It's cheaper and they're curtailing the

0:18:23.359 --> 0:18:25.919
<v Speaker 4>low end of their tires to high end, and so

0:18:25.960 --> 0:18:28.320
<v Speaker 4>there's an upgrade cycle. We think both of those can

0:18:28.359 --> 0:18:29.600
<v Speaker 4>create positive surprise.

0:18:29.760 --> 0:18:33.040
<v Speaker 3>This is not the F one tire that we're talking about.

0:18:32.800 --> 0:18:36.400
<v Speaker 4>Specific it is the F one partly tire O. Yes, okay,

0:18:37.400 --> 0:18:37.840
<v Speaker 4>there go.

0:18:38.840 --> 0:18:42.240
<v Speaker 2>Always love these lists, names that we know, names that

0:18:42.280 --> 0:18:44.200
<v Speaker 2>we don't, but definitely you give us the reasons to

0:18:44.240 --> 0:18:47.600
<v Speaker 2>keep Mono Radar. So appreciate it. Tim Tank, thank you

0:18:47.680 --> 0:18:51.280
<v Speaker 2>so much. Bloom we're Intelligence Senior European Strategist, Director of Research.

0:18:51.320 --> 0:18:54.600
<v Speaker 2>Content are our own Tim Craighead joining us there from London.

0:18:56.040 --> 0:18:59.840
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Listen live

0:19:00.040 --> 0:19:02.880
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0:19:02.920 --> 0:19:05.879
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0:19:05.920 --> 0:19:09.160
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0:19:09.240 --> 0:19:24.480
<v Speaker 1>New York station, Just Say Alexa playing Bloomberg eleven thirty right.

0:19:24.520 --> 0:19:27.360
<v Speaker 3>Well, Private equity payouts are in a slump, Carol five

0:19:27.440 --> 0:19:31.800
<v Speaker 3>major alternative asset managers. We're talking Blackstone, Apollo, Carlisle, Brookfield

0:19:31.880 --> 0:19:35.840
<v Speaker 3>Areas delivered about thirty seven billion dollars from cashing out

0:19:35.840 --> 0:19:38.920
<v Speaker 3>private equity bets last year. That's according to Bloomberg calculations.

0:19:39.200 --> 0:19:42.239
<v Speaker 3>It's a forty nine percent drop since twenty twenty one, that,

0:19:42.359 --> 0:19:45.280
<v Speaker 3>of course, was the year before the FED began raising rates.

0:19:45.480 --> 0:19:47.720
<v Speaker 2>Indeed, the private equity industry is banking on the FED

0:19:47.720 --> 0:19:50.640
<v Speaker 2>cutting rates this year, which would spurbuyers to tap debt

0:19:50.680 --> 0:19:54.280
<v Speaker 2>to grease purchases and ultimately return money to limited partners.

0:19:54.359 --> 0:19:57.480
<v Speaker 2>All of that tim from a great piece back in

0:19:57.520 --> 0:20:00.280
<v Speaker 2>February by our team here that covers private equity. So

0:20:00.880 --> 0:20:03.440
<v Speaker 2>we've got a question, how are the leaders of small

0:20:03.440 --> 0:20:06.159
<v Speaker 2>and mid sized businesses thinking about private equity in this environment?

0:20:06.160 --> 0:20:06.840
<v Speaker 2>It's a good question.

0:20:07.040 --> 0:20:09.040
<v Speaker 3>Don McRee is a vice chairman and head of commercial

0:20:09.080 --> 0:20:11.880
<v Speaker 3>banking at Citizens Financial Group. It's the Providence Rhode Island,

0:20:11.920 --> 0:20:14.840
<v Speaker 3>a based public traded bank. They've got eleven hundred branches,

0:20:14.880 --> 0:20:17.920
<v Speaker 3>total assets around two internet twenty two billion dollars. Don

0:20:18.320 --> 0:20:21.520
<v Speaker 3>joins us from Boston. Don, how are you very good?

0:20:21.560 --> 0:20:22.400
<v Speaker 6>Good to be with you today.

0:20:22.520 --> 0:20:24.199
<v Speaker 3>Yeah, it's good to have you with us. Okay, so

0:20:24.280 --> 0:20:26.000
<v Speaker 3>just talk to us a little. You guys did this survey,

0:20:26.040 --> 0:20:27.399
<v Speaker 3>but before we get to the results of that. I

0:20:27.440 --> 0:20:29.400
<v Speaker 3>do want to talk a little bit about the environment

0:20:29.520 --> 0:20:32.679
<v Speaker 3>right now that you're seeing with the economy, private equity,

0:20:32.680 --> 0:20:35.200
<v Speaker 3>and notwithstanding just general economy, what you're seeing, what you're

0:20:35.200 --> 0:20:37.240
<v Speaker 3>hearing from clients, and what you can tell our listeners

0:20:37.280 --> 0:20:37.879
<v Speaker 3>and our viewers.

0:20:38.760 --> 0:20:39.520
<v Speaker 6>Sure thing, I think.

0:20:40.000 --> 0:20:43.360
<v Speaker 7>I think the economy feels quite strong to us across

0:20:43.400 --> 0:20:46.440
<v Speaker 7>the board. I think the jobs numbers a couple of

0:20:46.480 --> 0:20:49.840
<v Speaker 7>days ago we're testimony to that. We're hearing a lot

0:20:49.880 --> 0:20:54.000
<v Speaker 7>of confidence within our small and mid sized business customers,

0:20:54.359 --> 0:20:57.359
<v Speaker 7>and I think it's a sharp contrast to what we

0:20:57.400 --> 0:21:00.920
<v Speaker 7>were hearing just a year ago, when people were quite concerned,

0:21:01.040 --> 0:21:05.280
<v Speaker 7>quite nervous about a potential recession, still kind of adjusting

0:21:05.320 --> 0:21:09.520
<v Speaker 7>their businesses from a supply chain standpoint and a labor standpoint.

0:21:09.560 --> 0:21:12.679
<v Speaker 7>But the tone is really changed as we've rolled in

0:21:12.680 --> 0:21:13.760
<v Speaker 7>the twenty.

0:21:13.400 --> 0:21:17.160
<v Speaker 2>Twenty four So better bottom line, a lot much better,

0:21:17.560 --> 0:21:20.160
<v Speaker 2>much all right, So talk to us in terms of

0:21:20.280 --> 0:21:24.479
<v Speaker 2>your perspective, what customers, whether it's in the small area,

0:21:24.720 --> 0:21:28.680
<v Speaker 2>small sized companies, mid sized companies, medium sized companies, what

0:21:28.720 --> 0:21:30.359
<v Speaker 2>you are seeing in terms of what they need in

0:21:30.359 --> 0:21:32.920
<v Speaker 2>this environment today and what are their requests most often.

0:21:34.040 --> 0:21:38.040
<v Speaker 7>You know, it's interesting they're beginning to reinvest in their businesses,

0:21:38.160 --> 0:21:40.560
<v Speaker 7>and that was after a couple of years of real,

0:21:40.680 --> 0:21:44.840
<v Speaker 7>real conservatism, so people not building plants, people kind of

0:21:44.880 --> 0:21:48.040
<v Speaker 7>screwing down their inventory levels and really managing their working

0:21:48.040 --> 0:21:51.240
<v Speaker 7>capital more tightly. We're seeing that change at the margin,

0:21:51.359 --> 0:21:55.400
<v Speaker 7>not huge yet. We're seeing a lot of activity in

0:21:55.440 --> 0:21:58.760
<v Speaker 7>the refinancing area. So that's both in the bank markets

0:21:59.280 --> 0:22:04.520
<v Speaker 7>and in the bond markets. So the first quarter of

0:22:04.560 --> 0:22:07.240
<v Speaker 7>the year and into the second quarter has been incredibly

0:22:07.280 --> 0:22:10.040
<v Speaker 7>active in terms of high yielded markets and investment grade markets,

0:22:10.280 --> 0:22:13.280
<v Speaker 7>and the syndicated loan markets have had almost a you know,

0:22:13.400 --> 0:22:16.200
<v Speaker 7>seventy eighty percent content of refinancing. And what that's saying

0:22:16.240 --> 0:22:19.320
<v Speaker 7>to us is, you know, companies are looking at their maturities,

0:22:19.640 --> 0:22:23.040
<v Speaker 7>seeing liquid and open markets and addressing those maturities aggressively

0:22:23.960 --> 0:22:25.280
<v Speaker 7>as they look at over the next.

0:22:25.080 --> 0:22:25.760
<v Speaker 6>Couple of years.

0:22:26.119 --> 0:22:29.119
<v Speaker 3>Why do you think that these small and medium sized

0:22:29.160 --> 0:22:32.399
<v Speaker 3>businesses are turning to private equity, Like why why is

0:22:32.480 --> 0:22:34.960
<v Speaker 3>this the area that they want to turn to for

0:22:35.240 --> 0:22:38.919
<v Speaker 3>potentially financing or for potentially to sell to Like what

0:22:39.000 --> 0:22:39.840
<v Speaker 3>is attractive to that?

0:22:40.840 --> 0:22:42.520
<v Speaker 6>I think it's a couple issues.

0:22:42.920 --> 0:22:46.240
<v Speaker 7>So we've got a very large M and a advisory

0:22:46.280 --> 0:22:52.399
<v Speaker 7>business aimed at middle market companies. We have long term

0:22:52.600 --> 0:22:56.000
<v Speaker 7>relationships with those companies. They know they're companies quite well

0:22:56.800 --> 0:22:59.520
<v Speaker 7>and are selling you know, anywhere from ten to twenty

0:23:00.119 --> 0:23:01.879
<v Speaker 7>those companies every year.

0:23:02.400 --> 0:23:05.080
<v Speaker 6>I'd say the vast majority is ending up.

0:23:05.000 --> 0:23:09.360
<v Speaker 7>With private equity, and we take advantage of a very

0:23:09.359 --> 0:23:13.720
<v Speaker 7>strong private equity relationship business that we have here at Citizens.

0:23:14.040 --> 0:23:17.920
<v Speaker 7>So there's an active M and a dialogue.

0:23:17.400 --> 0:23:18.000
<v Speaker 6>That's going on.

0:23:18.119 --> 0:23:21.080
<v Speaker 7>Some of that is pent up from a long period

0:23:21.160 --> 0:23:24.200
<v Speaker 7>of time where smaller companies weren't able to sell themselves

0:23:24.240 --> 0:23:27.400
<v Speaker 7>because the markets weren't attractive. So a lot of these

0:23:27.400 --> 0:23:29.880
<v Speaker 7>companies wanted to sell before COVID, some wanted to sell

0:23:29.920 --> 0:23:32.800
<v Speaker 7>before the Great Recession. And now that liquidity is back,

0:23:33.000 --> 0:23:37.480
<v Speaker 7>the company's underlying performance is improving, and the rate environment

0:23:37.560 --> 0:23:40.240
<v Speaker 7>has kind of peaked. From everything we can tell, there's

0:23:40.280 --> 0:23:42.640
<v Speaker 7>beginning to be a lot more activity in the marketplace.

0:23:42.880 --> 0:23:45.640
<v Speaker 6>The other thing that we've seen in a couple instances.

0:23:45.320 --> 0:23:50.639
<v Speaker 7>Is private equity being quite creative in terms of taking

0:23:50.680 --> 0:23:55.080
<v Speaker 7>minority stakes or structuring equity investments into companies that may

0:23:55.119 --> 0:23:56.240
<v Speaker 7>not want to sell themselves.

0:23:56.240 --> 0:23:58.240
<v Speaker 6>Outright, but but just may need.

0:23:58.160 --> 0:24:01.800
<v Speaker 7>Some growth equity or an other form of capital to

0:24:02.119 --> 0:24:03.840
<v Speaker 7>help facilitate their business strategy.

0:24:03.920 --> 0:24:06.000
<v Speaker 2>How much is maybe the uptick two or the interest

0:24:06.000 --> 0:24:08.919
<v Speaker 2>don at this point because the terms are better than

0:24:08.960 --> 0:24:10.840
<v Speaker 2>maybe they were six months ago or twelve months ago.

0:24:11.000 --> 0:24:12.400
<v Speaker 2>When it comes to private actors are.

0:24:12.400 --> 0:24:14.320
<v Speaker 7>Quite good and you know think, you know, like today

0:24:14.400 --> 0:24:16.240
<v Speaker 7>where we saw the ten year back up a little bit,

0:24:16.480 --> 0:24:19.320
<v Speaker 7>what we're seeing is spread tightening going.

0:24:18.760 --> 0:24:20.439
<v Speaker 6>On in the marketplace.

0:24:20.520 --> 0:24:23.440
<v Speaker 7>So while interest rates have stayed a little stubbornly high,

0:24:23.440 --> 0:24:26.320
<v Speaker 7>we see credit spreads across the board come in as

0:24:26.320 --> 0:24:29.919
<v Speaker 7>liquidity has been looking for a home. Other terms and

0:24:29.960 --> 0:24:32.760
<v Speaker 7>conditions have stayed relatively flat. We're not seeing a lot

0:24:32.800 --> 0:24:35.480
<v Speaker 7>of loosening of covenants or things or things of that nature.

0:24:35.520 --> 0:24:39.480
<v Speaker 7>But it's really an attractive spread spread environment which is

0:24:39.520 --> 0:24:42.480
<v Speaker 7>offsetting a little bit of the stubbornness of term rates.

0:24:42.680 --> 0:24:45.359
<v Speaker 2>How much dry powder is there around for you to

0:24:45.400 --> 0:24:48.200
<v Speaker 2>do deals? And I bring it up because the way

0:24:48.560 --> 0:24:52.600
<v Speaker 2>as Tim started the introduction here is we talked about

0:24:52.720 --> 0:24:58.760
<v Speaker 2>you know, Blackstone, Apollo, Carlisle, Brookfield, Arias Management delivering about

0:24:58.760 --> 0:25:02.280
<v Speaker 2>thirty seven billion from cash out private equity bets last year, these,

0:25:02.280 --> 0:25:06.160
<v Speaker 2>according to Bloomberg calculations, a forty nine percent drop since

0:25:06.200 --> 0:25:08.520
<v Speaker 2>twenty twenty one, the year before the FED began raising

0:25:08.600 --> 0:25:11.359
<v Speaker 2>interest rates. That's a big drop in terms of the

0:25:11.400 --> 0:25:15.320
<v Speaker 2>cash out. And I'm just curious about just kind of

0:25:15.520 --> 0:25:19.000
<v Speaker 2>the environment. How much dry powder is kind of out

0:25:19.040 --> 0:25:22.040
<v Speaker 2>there looking for deals to do. Maybe investors aren't so

0:25:22.119 --> 0:25:24.720
<v Speaker 2>interested in this because the returns aren't there. So that's

0:25:24.840 --> 0:25:26.880
<v Speaker 2>I kind of wanted to get your view on that

0:25:27.000 --> 0:25:28.480
<v Speaker 2>kind of the flip side of it.

0:25:29.400 --> 0:25:31.959
<v Speaker 7>Yeah, my sense is there's plenty of dry powder out there.

0:25:32.000 --> 0:25:35.240
<v Speaker 7>It's over two trillion dollars. It's on the sidelines looking

0:25:35.240 --> 0:25:37.800
<v Speaker 7>to move into the market. So you have to realize

0:25:37.800 --> 0:25:40.080
<v Speaker 7>that some of the a lot of these complexes have

0:25:40.240 --> 0:25:43.760
<v Speaker 7>multiple funds, so some of their older funds may be invested,

0:25:43.800 --> 0:25:47.119
<v Speaker 7>and they're a little challenge for realization. Does equity values

0:25:47.560 --> 0:25:51.520
<v Speaker 7>have stayed stubborn, although that's changed a lot since the

0:25:51.600 --> 0:25:54.320
<v Speaker 7>Power's speech in the fall and the rise in the

0:25:54.320 --> 0:25:58.600
<v Speaker 7>public equity markets is spurrings of exit activity on private equity,

0:25:58.640 --> 0:26:01.040
<v Speaker 7>but there's still a lot of un vested money in

0:26:01.160 --> 0:26:04.040
<v Speaker 7>newer funds that is looking to be put to work.

0:26:04.080 --> 0:26:07.160
<v Speaker 7>And you saw one big transaction announced today by Blackstone.

0:26:07.200 --> 0:26:09.760
<v Speaker 6>I believe in the real estate space, Yeah, big one.

0:26:10.400 --> 0:26:13.480
<v Speaker 3>So what happens if the Fed dozen cut rates this year?

0:26:13.520 --> 0:26:17.520
<v Speaker 7>Don I think at the margin, if they cut rates,

0:26:17.520 --> 0:26:19.920
<v Speaker 7>it'll be a little bit better, but I don't think

0:26:19.960 --> 0:26:23.040
<v Speaker 7>it's going to really impact what we're seeing. And remember

0:26:23.359 --> 0:26:26.919
<v Speaker 7>we're talking about small and mid sized business So these

0:26:26.920 --> 0:26:29.879
<v Speaker 7>are valuations of the one hundred million up to a

0:26:29.960 --> 0:26:33.800
<v Speaker 7>billion dollars. They're not the ten billion dollar global transaction,

0:26:34.000 --> 0:26:36.520
<v Speaker 7>so they're a little easier to get done, They're a

0:26:36.560 --> 0:26:39.720
<v Speaker 7>little easier to get financed. So the question will be

0:26:40.680 --> 0:26:45.080
<v Speaker 7>leverage levels will probably be slightly lower if interest rates

0:26:45.080 --> 0:26:49.119
<v Speaker 7>stay high, but valuations will probably adjust also. And it

0:26:49.119 --> 0:26:52.280
<v Speaker 7>feels to us that buyer and seller expectations are beginning

0:26:52.280 --> 0:26:54.200
<v Speaker 7>to come together in a more aggressive way.

0:26:54.280 --> 0:26:56.639
<v Speaker 2>I almost a curious don for you guys at citizens,

0:26:56.680 --> 0:26:59.399
<v Speaker 2>I mean, how much is private equity and or private

0:26:59.400 --> 0:27:02.920
<v Speaker 2>credit coming kind of important aspect and something you want

0:27:02.920 --> 0:27:05.080
<v Speaker 2>to be able to offer to your customers.

0:27:06.840 --> 0:27:09.280
<v Speaker 6>We're not in either of the businesses we look at.

0:27:09.359 --> 0:27:12.719
<v Speaker 7>We look at the private equity and private credit complexes

0:27:12.760 --> 0:27:15.920
<v Speaker 7>as both competitors and customers. We have very big relationships,

0:27:16.680 --> 0:27:19.919
<v Speaker 7>and we often will underwrite and distribute some of our

0:27:19.960 --> 0:27:23.400
<v Speaker 7>syndicated lending activity into the private credit funds, so they're

0:27:23.440 --> 0:27:25.840
<v Speaker 7>buyers of some of the risks that we originate. We

0:27:25.880 --> 0:27:29.240
<v Speaker 7>have great partnerships with with a lot of them. You know,

0:27:29.280 --> 0:27:32.280
<v Speaker 7>we haven't We haven't set up a formal partnership the

0:27:32.320 --> 0:27:34.520
<v Speaker 7>way some of our competitors have, but it's not really

0:27:34.560 --> 0:27:37.840
<v Speaker 7>stopping us from from engaging in interesting business. And on

0:27:37.880 --> 0:27:40.480
<v Speaker 7>the private equity side, it's a huge part of our business.

0:27:40.480 --> 0:27:42.359
<v Speaker 7>We've been active with the private equity firms for the

0:27:42.440 --> 0:27:44.920
<v Speaker 7>last since we went public about nine years ago.

0:27:45.000 --> 0:27:47.080
<v Speaker 2>But on private credit, on the private credit side, do

0:27:47.119 --> 0:27:49.320
<v Speaker 2>you want to guys get more involved? I mean, it

0:27:49.359 --> 0:27:51.800
<v Speaker 2>feels like it's been the only thing anybody in the

0:27:51.840 --> 0:27:54.240
<v Speaker 2>financial industry wants to talk about pretty aggressively in the

0:27:54.280 --> 0:27:55.200
<v Speaker 2>last couple of years.

0:27:55.880 --> 0:27:56.320
<v Speaker 4>We won't.

0:27:56.359 --> 0:27:58.359
<v Speaker 7>We won't do it on our balance sheet, I don't believe,

0:27:58.359 --> 0:28:01.159
<v Speaker 7>because we have no plans to, and that's largely because

0:28:01.480 --> 0:28:04.280
<v Speaker 7>the leverage levels tend to be higher than we're comfortable with.

0:28:04.920 --> 0:28:07.560
<v Speaker 7>So we'll we'll do it in partnership with some of

0:28:07.560 --> 0:28:08.720
<v Speaker 7>our good relationships there.

0:28:08.880 --> 0:28:10.800
<v Speaker 3>How does it compare to other periods of time where

0:28:10.800 --> 0:28:13.320
<v Speaker 3>you've been doing this. I mean, we talk about a lot.

0:28:13.400 --> 0:28:16.199
<v Speaker 3>The high interest rate environment right now is one that

0:28:16.359 --> 0:28:18.720
<v Speaker 3>hasn't been seen, at least from the FED side, in

0:28:18.800 --> 0:28:22.400
<v Speaker 3>decades at this point. What has that effect been on

0:28:22.560 --> 0:28:25.040
<v Speaker 3>the clients that you serve From a private equity perspective,

0:28:26.200 --> 0:28:26.600
<v Speaker 3>I think.

0:28:26.560 --> 0:28:29.439
<v Speaker 7>I think deal activity has been relatively slow over the

0:28:29.480 --> 0:28:32.200
<v Speaker 7>last couple of years. As you readily point out, realizations

0:28:32.240 --> 0:28:34.720
<v Speaker 7>have been have been slow, and there's just has been

0:28:34.760 --> 0:28:39.640
<v Speaker 7>there's been a value gap between buyers and sellers of companies.

0:28:39.680 --> 0:28:43.160
<v Speaker 7>So that's been the primary problem is you have to

0:28:43.200 --> 0:28:45.840
<v Speaker 7>have the buyers lower their expectations in terms of price,

0:28:45.880 --> 0:28:47.520
<v Speaker 7>and the sellers, you know, might have to pay a

0:28:47.520 --> 0:28:50.000
<v Speaker 7>little bit more than they think. But deals are beginning

0:28:50.080 --> 0:28:53.280
<v Speaker 7>to form, and we've seen a real uptick in activity

0:28:53.520 --> 0:28:55.800
<v Speaker 7>across the private equity clients that we have over the

0:28:55.880 --> 0:28:58.440
<v Speaker 7>last literally since the beginning of twenty twenty four.

0:28:58.760 --> 0:29:00.760
<v Speaker 3>Do you work with clients who would also consider going

0:29:00.840 --> 0:29:04.440
<v Speaker 3>public or these companies not necessarily that profile.

0:29:05.040 --> 0:29:05.120
<v Speaker 4>No.

0:29:05.240 --> 0:29:08.720
<v Speaker 7>We we have an equity platform that we bought a

0:29:08.720 --> 0:29:12.880
<v Speaker 7>few years ago, mainly focused on tech and biotech and

0:29:12.960 --> 0:29:16.200
<v Speaker 7>financial technology, but also other industries you know, we were

0:29:16.200 --> 0:29:18.520
<v Speaker 7>on the redd at IPO for example as a book manager.

0:29:18.840 --> 0:29:21.320
<v Speaker 7>So we're beginning to see we're beginning to see the

0:29:21.360 --> 0:29:26.120
<v Speaker 7>public market activity tick up slightly. It's still easier to

0:29:26.120 --> 0:29:27.960
<v Speaker 7>get a deal done in the private market from my

0:29:28.000 --> 0:29:28.880
<v Speaker 7>standpoint right now.

0:29:28.800 --> 0:29:29.520
<v Speaker 3>That's what I was wondering.

0:29:29.560 --> 0:29:32.040
<v Speaker 2>Yeah, I am interested too, though in private equity in general,

0:29:32.080 --> 0:29:34.040
<v Speaker 2>since you guys have seen so many different cycles or

0:29:34.080 --> 0:29:37.920
<v Speaker 2>seeing a fair amount of cycles. Don in terms of

0:29:38.320 --> 0:29:40.920
<v Speaker 2>the types of deals, is it industry specific? You know,

0:29:40.960 --> 0:29:43.400
<v Speaker 2>we talk a lot about AI. We're also you know,

0:29:43.480 --> 0:29:45.760
<v Speaker 2>looking at the biotech area. There's been a lot of

0:29:45.800 --> 0:29:48.840
<v Speaker 2>activity in terms of deal activity going on. There Is

0:29:48.880 --> 0:29:51.680
<v Speaker 2>there any specific verticals or industries where you're seeing a

0:29:51.760 --> 0:29:54.600
<v Speaker 2>lot of interest or looking to do some kind of

0:29:54.640 --> 0:29:55.960
<v Speaker 2>deal in the private equity front.

0:29:57.280 --> 0:30:00.280
<v Speaker 7>Not AI, but certainly in data centers we're seeing quite

0:30:00.280 --> 0:30:02.080
<v Speaker 7>a bit, and we have it. We have a pretty

0:30:02.080 --> 0:30:04.800
<v Speaker 7>big data center advisory business. We've seen a lot in healthcare,

0:30:04.840 --> 0:30:09.000
<v Speaker 7>including including biotech, and then just good old fashioned manufacturing

0:30:09.040 --> 0:30:12.400
<v Speaker 7>companies that are that are you know, that are performing

0:30:12.800 --> 0:30:14.440
<v Speaker 7>from a solid cash flow standpoint.

0:30:14.480 --> 0:30:15.720
<v Speaker 6>We see a lot of activity there.

0:30:15.880 --> 0:30:18.640
<v Speaker 7>And in the sector we're talking about which is the

0:30:19.120 --> 0:30:22.760
<v Speaker 7>medium sized business. They tend to be family owned businesses.

0:30:23.160 --> 0:30:27.120
<v Speaker 7>And the driver really around activity is the next generation

0:30:27.240 --> 0:30:29.080
<v Speaker 7>doesn't want to want to be involved in the company,

0:30:29.160 --> 0:30:31.960
<v Speaker 7>so they're looking to realize from a from a trust

0:30:31.960 --> 0:30:33.280
<v Speaker 7>in a state standpoint.

0:30:32.840 --> 0:30:34.600
<v Speaker 2>So like a liquidity event, right, they just want to

0:30:34.600 --> 0:30:37.200
<v Speaker 2>get out of it. And basically exactly, Hey, how do

0:30:37.280 --> 0:30:40.680
<v Speaker 2>you guys think about It's interesting We've talked a lot

0:30:40.840 --> 0:30:44.480
<v Speaker 2>about the Jamie Diamond shareholder letter, and in it he

0:30:44.560 --> 0:30:47.880
<v Speaker 2>covers a lot of big things like AI and also geopolitics.

0:30:48.160 --> 0:30:52.120
<v Speaker 2>But I do think about something like the elections come November.

0:30:53.080 --> 0:30:56.280
<v Speaker 2>Are you concerned about the outcome and how it might impact,

0:30:56.360 --> 0:30:58.680
<v Speaker 2>especially when it comes to a private equity aspect, or

0:30:58.680 --> 0:31:02.040
<v Speaker 2>even financially or are for regulatory Is there things that

0:31:02.120 --> 0:31:03.280
<v Speaker 2>are top of mind for you?

0:31:04.320 --> 0:31:07.160
<v Speaker 7>I think, you know, I'm a little more concerned about

0:31:07.200 --> 0:31:09.880
<v Speaker 7>the volatility that could be in the markets before the election,

0:31:10.000 --> 0:31:13.280
<v Speaker 7>depending on different statements or different positions that some of

0:31:13.280 --> 0:31:14.840
<v Speaker 7>the candidates could take.

0:31:15.040 --> 0:31:16.280
<v Speaker 6>Hard to predict what that's going.

0:31:16.240 --> 0:31:18.640
<v Speaker 7>To be, but I think history has said that that,

0:31:19.200 --> 0:31:23.240
<v Speaker 7>you know, the markets usually can can kind of move

0:31:23.280 --> 0:31:25.840
<v Speaker 7>on once the results of the of an election happen.

0:31:25.920 --> 0:31:28.480
<v Speaker 7>And I think it's interesting that, you know, both of

0:31:28.520 --> 0:31:31.600
<v Speaker 7>the candidates that appears are pretty well known entities, so

0:31:31.640 --> 0:31:34.480
<v Speaker 7>they both will have been prior president. So I think

0:31:34.520 --> 0:31:36.680
<v Speaker 7>the market will be able to handicap pretty much what

0:31:36.680 --> 0:31:38.440
<v Speaker 7>they're going to get regardless.

0:31:37.920 --> 0:31:39.640
<v Speaker 6>Of who the who the winner is going to be.

0:31:39.960 --> 0:31:42.760
<v Speaker 7>I think, you know, we'll see what happens in terms of,

0:31:43.200 --> 0:31:47.959
<v Speaker 7>you know, geopolitical stances if if mister Trump becomes the

0:31:47.960 --> 0:31:52.640
<v Speaker 7>president again, and probably the regulatory environments feels like it's

0:31:52.680 --> 0:31:56.640
<v Speaker 7>a little bit chat more challenged under a democratic president

0:31:56.880 --> 0:31:59.080
<v Speaker 7>the way it's been for the last couple of years,

0:31:58.960 --> 0:32:00.920
<v Speaker 7>as mergers and actians have a little bit of a

0:32:00.920 --> 0:32:02.720
<v Speaker 7>difficult time moving through the system.

0:32:02.840 --> 0:32:05.040
<v Speaker 3>Is that the general comtexas that you hear when you

0:32:05.120 --> 0:32:07.760
<v Speaker 3>speak to like does this come up with with your clients?

0:32:07.920 --> 0:32:09.800
<v Speaker 3>Is this something that you're talking about right now?

0:32:10.560 --> 0:32:13.560
<v Speaker 6>They're really not that worried about it. It's a long

0:32:13.600 --> 0:32:16.000
<v Speaker 6>way away. I think they're.

0:32:15.640 --> 0:32:20.560
<v Speaker 7>Much more focused on the core functioning of their businesses

0:32:20.960 --> 0:32:24.400
<v Speaker 7>and making sure that they actually you can perform and

0:32:24.520 --> 0:32:27.000
<v Speaker 7>are prepared for whatever gets thrown with them. So there's

0:32:27.000 --> 0:32:31.040
<v Speaker 7>not a lot of obsession among our clients around election outcome.

0:32:31.080 --> 0:32:35.400
<v Speaker 7>There's not a lot of obsession around geopolitical events. Obviously,

0:32:35.400 --> 0:32:38.240
<v Speaker 7>if something goes awry in the Mid East and oil

0:32:38.280 --> 0:32:40.400
<v Speaker 7>prices spike, that will affect some of the customers we

0:32:40.440 --> 0:32:42.680
<v Speaker 7>deal with, but they're much more focused on the nuts

0:32:42.680 --> 0:32:44.320
<v Speaker 7>and bolts of running their businesses right now.

0:32:44.400 --> 0:32:46.120
<v Speaker 2>All right, I'd be remiss if I didn't ask any

0:32:46.120 --> 0:32:47.720
<v Speaker 2>obsession for you over the eclipse.

0:32:49.200 --> 0:32:49.280
<v Speaker 4>No.

0:32:49.400 --> 0:32:50.760
<v Speaker 7>I was wondering if it was going to get dark

0:32:50.760 --> 0:32:52.760
<v Speaker 7>in here in the middle of our conversation, but I

0:32:52.760 --> 0:32:54.360
<v Speaker 7>think I think we're fifteen minutes away.

0:32:54.720 --> 0:32:56.600
<v Speaker 6>Got a nice, nice sunny day in Boston.

0:32:57.160 --> 0:32:59.160
<v Speaker 2>Yeah, I see. I think it's ever Cleveland right now.

0:32:59.240 --> 0:33:01.640
<v Speaker 2>So we're just kind of keeping a watch on it. Listen,

0:33:01.800 --> 0:33:03.440
<v Speaker 2>you do keep a watch on so much, and it

0:33:03.480 --> 0:33:05.920
<v Speaker 2>really gives us a great snapshot for our listeners and

0:33:06.000 --> 0:33:08.920
<v Speaker 2>viewers in terms of what's going on, So so appreciate it.

0:33:09.120 --> 0:33:11.480
<v Speaker 2>Don McCree joining us, Vice chairman and head of commercial

0:33:11.520 --> 0:33:14.840
<v Speaker 2>Banking over at Citizens Financial Group. Joining us from Boston.

0:33:15.720 --> 0:33:19.280
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:33:19.320 --> 0:33:22.560
<v Speaker 1>live weekday afternoons from two to five pm Eastern Listen

0:33:22.600 --> 0:33:24.760
<v Speaker 1>on Apple car Play, and then brought auto with a

0:33:24.760 --> 0:33:29.960
<v Speaker 1>Bloomberg Business app or watch us live on YouTube.

0:33:31.040 --> 0:33:34.280
<v Speaker 2>It is at clips day, you know that, And it's interesting.

0:33:34.360 --> 0:33:37.440
<v Speaker 2>I'm looking outside our Bloomberg windows here, lots of glass

0:33:37.440 --> 0:33:39.440
<v Speaker 2>in our offices, and it's getting pretty dark out here.

0:33:39.520 --> 0:33:42.520
<v Speaker 2>Reminds me of kind of an afternoon in the winter.

0:33:42.680 --> 0:33:46.160
<v Speaker 2>So it's definitely coming our way. Tim Sanovich, I'm just

0:33:46.160 --> 0:33:48.480
<v Speaker 2>going to say you head it up, I believe to

0:33:48.840 --> 0:33:51.800
<v Speaker 2>another Florida kind of check it out as well. People

0:33:51.800 --> 0:33:55.840
<v Speaker 2>throughout Texas, Arkansas, Illinois, and Ohio have already experienced it.

0:33:56.240 --> 0:33:59.360
<v Speaker 2>And as I said, right about now, it is moving

0:33:59.360 --> 0:34:01.400
<v Speaker 2>here in the New York area and headed to Buffalo,

0:34:01.440 --> 0:34:04.680
<v Speaker 2>New York. If the weather's good, it will in particular

0:34:04.720 --> 0:34:08.160
<v Speaker 2>experience a total solar eclipse, the moen completely obscuring the

0:34:08.239 --> 0:34:10.799
<v Speaker 2>view of the sun up there in Buffalo. So a

0:34:10.840 --> 0:34:13.959
<v Speaker 2>lot may happen. Julie Fine is Bloomberg News Texas Bureau chief.

0:34:14.000 --> 0:34:16.600
<v Speaker 2>She's been following it all day, joining us from Dallas,

0:34:16.800 --> 0:34:20.880
<v Speaker 2>our Dallas bureau. Julie, we have been following it the

0:34:20.960 --> 0:34:24.400
<v Speaker 2>live feed off of NASA Dallas. Tell us about what

0:34:24.520 --> 0:34:27.560
<v Speaker 2>it looked like from your perspective earlier today.

0:34:27.960 --> 0:34:31.120
<v Speaker 8>I mean, it was almost pitch black here. It's interesting

0:34:31.120 --> 0:34:33.799
<v Speaker 8>because it was a cloudy day and there were questions

0:34:33.880 --> 0:34:38.200
<v Speaker 8>on how dark it would get. It got really, really dark.

0:34:38.239 --> 0:34:41.919
<v Speaker 8>We actually went down to the park near our offices,

0:34:42.120 --> 0:34:45.759
<v Speaker 8>and overall, the Mayor guests that there was about or

0:34:45.920 --> 0:34:50.480
<v Speaker 8>estimated about four hundred thousand people came to the Dallas area,

0:34:50.520 --> 0:34:53.640
<v Speaker 8>so it was definitely really packed down there. I would

0:34:53.680 --> 0:34:56.839
<v Speaker 8>say it started to get dark within about forty five

0:34:56.840 --> 0:35:00.520
<v Speaker 8>minutes before we hit totality, and then it it really

0:35:00.560 --> 0:35:03.080
<v Speaker 8>covered and it was really dark for about five minutes

0:35:03.160 --> 0:35:05.680
<v Speaker 8>and then it was like light again. It just went

0:35:05.760 --> 0:35:09.279
<v Speaker 8>back to the regular day. So it's a really interesting

0:35:09.400 --> 0:35:12.040
<v Speaker 8>phenomenon to be able to see in the amount of

0:35:12.080 --> 0:35:14.040
<v Speaker 8>people that came into the city. I mean, you think

0:35:14.040 --> 0:35:16.680
<v Speaker 8>about a Super Bowl, Okay, that's one hundred thousand people

0:35:16.680 --> 0:35:19.760
<v Speaker 8>in a stadium. That doesn't equal four hundred thousand people.

0:35:19.840 --> 0:35:21.920
<v Speaker 8>So in the city of Dallas alone, it's been very

0:35:21.960 --> 0:35:24.680
<v Speaker 8>crowded all weekend. But it was certainly a sight to see.

0:35:24.920 --> 0:35:26.960
<v Speaker 2>Yeah, it's been a sight to see too, to see

0:35:26.960 --> 0:35:30.440
<v Speaker 2>so many Americans right throughout across the country. Across it

0:35:30.800 --> 0:35:33.360
<v Speaker 2>moved across certain parts of the country, it feels like

0:35:33.400 --> 0:35:35.640
<v Speaker 2>come together for one thing. So it's pretty cool, I

0:35:35.640 --> 0:35:38.120
<v Speaker 2>should say. Right now, it's over Tupper Lake, which is

0:35:38.120 --> 0:35:39.799
<v Speaker 2>an area in the Adironducks. I've been up in there.

0:35:39.840 --> 0:35:42.239
<v Speaker 2>It's gorgeous and it looks like we're getting the total

0:35:42.239 --> 0:35:45.040
<v Speaker 2>eclipse there. Is this your first one? I'm just curious about,

0:35:45.160 --> 0:35:47.160
<v Speaker 2>you know, for you to be seeing it, what it

0:35:47.239 --> 0:35:47.520
<v Speaker 2>was like.

0:35:48.360 --> 0:35:52.080
<v Speaker 8>It's my I saw partial eclipse here in twenty seventeen,

0:35:52.280 --> 0:35:54.680
<v Speaker 8>but this was my first to hit totality. I mean,

0:35:54.719 --> 0:35:57.480
<v Speaker 8>it got pretty dark in twenty seventeen, but this was

0:35:57.520 --> 0:36:01.680
<v Speaker 8>my first one to see totality. Interesting today because here

0:36:01.719 --> 0:36:03.640
<v Speaker 8>I am in Dallas, Texas, and it's on its way

0:36:03.680 --> 0:36:06.319
<v Speaker 8>to Buffalo, New York. That's where I'm from originally. So

0:36:06.360 --> 0:36:09.120
<v Speaker 8>I've got all kinds of friends and family getting ready

0:36:09.120 --> 0:36:10.640
<v Speaker 8>for it there and I can tell them this is

0:36:10.680 --> 0:36:14.240
<v Speaker 8>what it's like right now. So it's definitely very interesting.

0:36:14.280 --> 0:36:14.839
<v Speaker 2>I have to tell you.

0:36:14.840 --> 0:36:18.200
<v Speaker 8>It's been really good for this city and basically any

0:36:18.239 --> 0:36:19.880
<v Speaker 8>city where it goes through.

0:36:20.280 --> 0:36:21.840
<v Speaker 2>Yeah, I mean, that's the interesting. I mean, we have

0:36:21.840 --> 0:36:24.200
<v Speaker 2>a great story about the impact on New York in particular,

0:36:24.200 --> 0:36:27.040
<v Speaker 2>which has been hit so hard by the loss of

0:36:27.040 --> 0:36:28.799
<v Speaker 2>its industrial base. I mean, this has really been a

0:36:28.800 --> 0:36:31.960
<v Speaker 2>big boon. Whether it's hotels, whether it's restaurants, you name it.

0:36:32.040 --> 0:36:33.760
<v Speaker 2>Everybody's been chiming in here.

0:36:34.560 --> 0:36:37.640
<v Speaker 8>Absolutely and four. I mean, to get a flight into here,

0:36:37.920 --> 0:36:40.360
<v Speaker 8>or to get a flight into any of those areas

0:36:40.480 --> 0:36:43.040
<v Speaker 8>so expensive, but people are going out, they're eating. It

0:36:43.080 --> 0:36:46.120
<v Speaker 8>was interesting here. You almost get the feeling of like

0:36:46.160 --> 0:36:48.480
<v Speaker 8>a tailgate for a football game. People on the street

0:36:48.520 --> 0:36:52.080
<v Speaker 8>corner with the glasses selling food. We had food trucks

0:36:52.120 --> 0:36:54.640
<v Speaker 8>all over the place, so you definitely could feel the

0:36:54.760 --> 0:36:57.640
<v Speaker 8>financial aspect of it. And it was you know, there's

0:36:57.719 --> 0:37:01.320
<v Speaker 8>so many times where you're here are reporting on difficult

0:37:01.360 --> 0:37:04.440
<v Speaker 8>financial news or difficult national news. This one's just been

0:37:04.480 --> 0:37:07.320
<v Speaker 8>a nice one to be involved with, to be able

0:37:07.360 --> 0:37:09.480
<v Speaker 8>to see how many people got out there and really

0:37:09.560 --> 0:37:10.120
<v Speaker 8>enjoyed it.

0:37:10.239 --> 0:37:12.080
<v Speaker 2>The news has been heavy, and this one feels like

0:37:12.120 --> 0:37:15.040
<v Speaker 2>what we all needed, certainly as a country. Julie, thank

0:37:15.040 --> 0:37:17.759
<v Speaker 2>you so much. Julie Fine, Bloomberg News Texas bureau chief

0:37:17.760 --> 0:37:20.480
<v Speaker 2>on the latest of the eclipse, And of course, my

0:37:20.520 --> 0:37:22.800
<v Speaker 2>partner in crime here, Tim Stanovic, not in the studio

0:37:22.840 --> 0:37:25.680
<v Speaker 2>because he went to check out the eclipse. Tim's joining

0:37:25.760 --> 0:37:27.080
<v Speaker 2>us on zooms and tell us about it.

0:37:27.120 --> 0:37:29.160
<v Speaker 4>There you are, I got.

0:37:29.000 --> 0:37:32.279
<v Speaker 3>I got the glasses on. I'm doing this safely. It's

0:37:32.280 --> 0:37:34.680
<v Speaker 3>pretty cool. I mean, it's definitely cooler out here than

0:37:34.719 --> 0:37:36.879
<v Speaker 3>it usually is. It's darker out here, it doesn't feel

0:37:36.920 --> 0:37:39.040
<v Speaker 3>like it's you know, in the middle of the three

0:37:39.080 --> 0:37:41.399
<v Speaker 3>o'clock hour right now. A lot of people I don't

0:37:41.400 --> 0:37:42.560
<v Speaker 3>know if you can see behind me, but a lot

0:37:42.600 --> 0:37:44.839
<v Speaker 3>of people have gathered. There were more here earlier when

0:37:45.640 --> 0:37:48.160
<v Speaker 3>they were kind of watching it get the moon set

0:37:48.239 --> 0:37:50.239
<v Speaker 3>right in front of the sun. But it feels like

0:37:50.239 --> 0:37:52.200
<v Speaker 3>one of those moments where you know, New Yorkers come

0:37:52.200 --> 0:37:55.080
<v Speaker 3>together to do something in common, and there are, as

0:37:55.160 --> 0:37:56.799
<v Speaker 3>Julie was saying, there are a few, and these are

0:37:56.800 --> 0:37:58.360
<v Speaker 3>few and far between right now, and it kind of

0:37:58.360 --> 0:37:59.799
<v Speaker 3>feels like everyone's on the same page.

0:37:59.800 --> 0:38:01.680
<v Speaker 2>Down and Carol, I gotta say, Tim, you've been so

0:38:01.719 --> 0:38:03.640
<v Speaker 2>excited leading up to it. You have a young son,

0:38:03.680 --> 0:38:06.520
<v Speaker 2>and I know you've been excited for him as well,

0:38:06.560 --> 0:38:09.040
<v Speaker 2>collecting glasses, I mean, as a city, and it feels

0:38:09.040 --> 0:38:11.800
<v Speaker 2>like anybody along the path who were just talking to Julie, fine,

0:38:11.840 --> 0:38:14.719
<v Speaker 2>anyone along the path of this has been all in

0:38:15.080 --> 0:38:17.200
<v Speaker 2>and you know, lining up places for people to watch

0:38:17.239 --> 0:38:19.120
<v Speaker 2>and so on and so forth. I mean, it's really been

0:38:19.160 --> 0:38:20.160
<v Speaker 2>interesting to watch here.

0:38:21.239 --> 0:38:21.479
<v Speaker 1>Yeah.

0:38:21.520 --> 0:38:23.320
<v Speaker 3>So a lot of attention has been paid to the

0:38:23.360 --> 0:38:26.359
<v Speaker 3>so called path and fatality, where Julie is and where

0:38:26.440 --> 0:38:28.400
<v Speaker 3>you know, so many Americans have gone right now. But

0:38:28.520 --> 0:38:30.759
<v Speaker 3>doesn't mean that people who are, you know, hundreds of

0:38:30.760 --> 0:38:34.080
<v Speaker 3>miles away from that path and fatality can't actually experience

0:38:34.120 --> 0:38:36.960
<v Speaker 3>something that's pretty darn cool. I gotta say. So, even

0:38:37.000 --> 0:38:39.200
<v Speaker 3>if you are, you know, to the northeast of us

0:38:39.280 --> 0:38:40.960
<v Speaker 3>right now, and you could still get a chance to

0:38:40.960 --> 0:38:42.719
<v Speaker 3>go and check it out, I highly encourage you do,

0:38:42.800 --> 0:38:44.400
<v Speaker 3>even if you're not in the path of the brutality,

0:38:44.480 --> 0:38:47.520
<v Speaker 3>because hey, it's a solar eclipse. This stuff doesn't happen,

0:38:47.600 --> 0:38:48.600
<v Speaker 3>you know, every few months.

0:38:48.719 --> 0:38:51.080
<v Speaker 2>All right, did you actually see though it was partially

0:38:51.120 --> 0:38:52.919
<v Speaker 2>I'm assuming or what? Did you actually see?

0:38:53.040 --> 0:38:53.360
<v Speaker 1>Yeah?

0:38:53.760 --> 0:38:55.719
<v Speaker 3>I actually saw it. So these glasses I got these

0:38:55.760 --> 0:38:57.799
<v Speaker 3>from the local library here in New York City. They

0:38:57.840 --> 0:38:59.640
<v Speaker 3>were giving them out in the days leading up to this,

0:39:00.160 --> 0:39:03.160
<v Speaker 3>and I actually got to see what it kind of

0:39:03.160 --> 0:39:05.880
<v Speaker 3>looks like, you know, what the moon would look like

0:39:05.880 --> 0:39:09.040
<v Speaker 3>when the moon is a crescent moon. The glasses give

0:39:09.080 --> 0:39:11.719
<v Speaker 3>it like an orange tint, and that's really the best

0:39:11.719 --> 0:39:13.960
<v Speaker 3>way to describe it. It was actually hard to find

0:39:14.000 --> 0:39:15.719
<v Speaker 3>a space down here where I where I could see it.

0:39:15.719 --> 0:39:17.759
<v Speaker 3>I had to kind of run around with justin my

0:39:17.800 --> 0:39:20.800
<v Speaker 3>trust the camera van right now, who's holding up the phone,

0:39:21.239 --> 0:39:22.800
<v Speaker 3>to find a space where we could actually see it

0:39:22.840 --> 0:39:25.120
<v Speaker 3>between buildings. So that was the issue, is just making

0:39:25.160 --> 0:39:27.200
<v Speaker 3>sure that you could see it between buildings. After all,

0:39:27.280 --> 0:39:28.880
<v Speaker 3>it is Manhattan, to be fair.

0:39:29.040 --> 0:39:30.759
<v Speaker 2>It's a nice day here in New York City, and

0:39:30.800 --> 0:39:33.160
<v Speaker 2>I'm looking at you, looking behind you. You know where

0:39:33.160 --> 0:39:35.600
<v Speaker 2>we sit. It's an all glass studio. We have a

0:39:35.640 --> 0:39:37.560
<v Speaker 2>bunch of glass behind us, and it reminds me of

0:39:37.600 --> 0:39:40.560
<v Speaker 2>you know, those winter night winter afternoons, like when it's

0:39:40.560 --> 0:39:42.000
<v Speaker 2>like three thirty and you and I are sitting in

0:39:42.040 --> 0:39:43.880
<v Speaker 2>here and we're like, oh my god, that's what it

0:39:43.880 --> 0:39:44.720
<v Speaker 2>looks like in here.

0:39:45.320 --> 0:39:47.799
<v Speaker 3>Well, that's exactly what it feels like in Scientists have

0:39:47.880 --> 0:39:51.040
<v Speaker 3>said that this confuses, especially in the path of fatality,

0:39:51.320 --> 0:39:56.080
<v Speaker 3>confuses animals. So dogs and other animals, birds especially that

0:39:56.320 --> 0:39:58.399
<v Speaker 3>you know, will experience darkness at a time that they

0:39:58.480 --> 0:40:01.440
<v Speaker 3>normally would experience the daytime, So it kind of confused

0:40:01.520 --> 0:40:03.400
<v Speaker 3>as the animal census, all right.

0:40:03.280 --> 0:40:04.640
<v Speaker 2>So what are you going to ask your son when

0:40:04.640 --> 0:40:05.160
<v Speaker 2>you go home.

0:40:06.560 --> 0:40:08.480
<v Speaker 3>It has to be made sure to stay inside during

0:40:08.480 --> 0:40:10.040
<v Speaker 3>this because you can't trust a five year old and

0:40:10.120 --> 0:40:13.160
<v Speaker 3>keep glasses on. And we'll watch replays on YouTube, that's

0:40:13.200 --> 0:40:13.800
<v Speaker 3>what we'll do.

0:40:13.840 --> 0:40:15.359
<v Speaker 2>All right, Listen, We're going to give you some time

0:40:15.400 --> 0:40:17.080
<v Speaker 2>to get back here in this studio, but so glad

0:40:17.080 --> 0:40:18.799
<v Speaker 2>you could be out there and see it. So really

0:40:18.840 --> 0:40:19.320
<v Speaker 2>good stuff.

0:40:19.560 --> 0:40:21.080
<v Speaker 3>Hey, thank you for holding down the board.

0:40:21.080 --> 0:40:23.799
<v Speaker 2>I appreciate that anything for you, You know that, all right,

0:40:23.840 --> 0:40:25.680
<v Speaker 2>Tim Stanovic, of course my co hosts. He's going to

0:40:25.760 --> 0:40:28.239
<v Speaker 2>come back in a little bit. But getting a chance

0:40:28.280 --> 0:40:30.000
<v Speaker 2>to see this, and you know, we talked with our

0:40:30.040 --> 0:40:32.920
<v Speaker 2>Julie Fine, who was there obviously in Texas and got

0:40:32.920 --> 0:40:35.040
<v Speaker 2>to see that earlier. But we talked a little bit

0:40:35.040 --> 0:40:37.960
<v Speaker 2>about New York and New York State in particular, and

0:40:37.960 --> 0:40:40.600
<v Speaker 2>I'm looking at it right now watching the NASA live

0:40:40.640 --> 0:40:43.680
<v Speaker 2>feed and it's now over main if you will. But

0:40:43.719 --> 0:40:46.760
<v Speaker 2>we talked about for a place like upstate New York,

0:40:47.320 --> 0:40:50.560
<v Speaker 2>it really has had some really tough economic times, and

0:40:50.600 --> 0:40:54.200
<v Speaker 2>we talked specifically about the loss of its industrial base.

0:40:54.280 --> 0:40:56.799
<v Speaker 2>The manufacturing sector in New York shrank by more than

0:40:56.920 --> 0:40:59.680
<v Speaker 2>sixty percent between the nineteen forties and two thousand and nine,

0:41:00.200 --> 0:41:02.800
<v Speaker 2>pretty much cut in half, if you will. That was

0:41:02.800 --> 0:41:06.000
<v Speaker 2>a report by the state comptroller. But as a result

0:41:06.280 --> 0:41:09.080
<v Speaker 2>of the eclipse and the totality that you could see

0:41:09.320 --> 0:41:12.040
<v Speaker 2>up in the Buffalo, New York area, Buffalo being one

0:41:12.080 --> 0:41:15.360
<v Speaker 2>of the biggest beneficiaries of this of the eclipse, the

0:41:15.400 --> 0:41:17.880
<v Speaker 2>state's second biggest city, is anticipating as many as a

0:41:17.920 --> 0:41:20.879
<v Speaker 2>million visitors. So we'll wait for some numbers, maybe later

0:41:20.960 --> 0:41:23.720
<v Speaker 2>on today or tomorrow to see whether or not that happened.

0:41:24.440 --> 0:41:27.360
<v Speaker 2>And that's the same as the entire population of Erie County,

0:41:27.440 --> 0:41:30.239
<v Speaker 2>so so many people coming into the region. You know

0:41:30.320 --> 0:41:33.040
<v Speaker 2>the stories leading up to this, whether it's the hotel sites.

0:41:33.680 --> 0:41:36.240
<v Speaker 2>More than half of US cities along the eclipses path

0:41:36.800 --> 0:41:40.000
<v Speaker 2>are fully booked or were fully booked for the night

0:41:40.040 --> 0:41:42.760
<v Speaker 2>of April seventh. That's according to data from air DNA,

0:41:42.800 --> 0:41:46.360
<v Speaker 2>it's a data analytics company, with thousands of airbnbs in

0:41:46.400 --> 0:41:50.160
<v Speaker 2>the path of totalities slated to reach one hundred percent occupancy.

0:41:51.080 --> 0:41:54.000
<v Speaker 2>That in the Anerontics in North Country. So there was

0:41:54.000 --> 0:41:56.320
<v Speaker 2>a lot going on. We know about the traffic stories,

0:41:56.360 --> 0:41:58.720
<v Speaker 2>but I got to say just watching this live feed

0:41:59.239 --> 0:42:00.640
<v Speaker 2>and we've got it up for you guys who are

0:42:00.640 --> 0:42:04.240
<v Speaker 2>watching on YouTube and also on our Bloomberg Original streaming service.

0:42:04.719 --> 0:42:07.640
<v Speaker 2>Pretty cool to see and it's still kind of dark

0:42:08.120 --> 0:42:12.960
<v Speaker 2>a little bit outside Bromco.

0:42:13.680 --> 0:42:14.160
<v Speaker 6>Journal.

0:42:15.160 --> 0:42:16.160
<v Speaker 2>Now about you let me drive?

0:42:16.440 --> 0:42:20.719
<v Speaker 3>Oh no, no, no, no's drive alright please, I'll do

0:42:20.800 --> 0:42:21.760
<v Speaker 3>the gravel.

0:42:22.560 --> 0:42:26.880
<v Speaker 4>Wait, I want to drive. It's a good question.

0:42:27.320 --> 0:42:34.239
<v Speaker 1>Good. This is the drive to the globe thing well

0:42:34.280 --> 0:42:37.160
<v Speaker 1>by around Yeld on Bloomberg Radio.

0:42:37.440 --> 0:42:39.680
<v Speaker 2>All right, everybody, just about eighteen minutes left in today's

0:42:39.680 --> 0:42:43.080
<v Speaker 2>trading session, getting ready to wrap up the Monday trade.

0:42:43.120 --> 0:42:45.560
<v Speaker 2>The eclipse trade frutality.

0:42:46.320 --> 0:42:48.719
<v Speaker 3>Yeah, I think moved quickly.

0:42:48.880 --> 0:42:49.080
<v Speaker 2>It did?

0:42:49.400 --> 0:42:50.279
<v Speaker 3>It moved quickly? Yeah?

0:42:50.480 --> 0:42:50.959
<v Speaker 2>Is it fun?

0:42:51.040 --> 0:42:51.120
<v Speaker 4>Like?

0:42:51.280 --> 0:42:51.920
<v Speaker 5>Yeah, it was cool.

0:42:52.320 --> 0:42:53.320
<v Speaker 6>But I mean just to see.

0:42:53.160 --> 0:42:55.960
<v Speaker 3>It go from Mazaala in Mexico during the two o'clock

0:42:55.960 --> 0:42:57.719
<v Speaker 3>hour all the way to Maine right now.

0:42:57.719 --> 0:42:58.319
<v Speaker 2>It's pretty cool.

0:42:58.400 --> 0:42:58.760
<v Speaker 1>Yeah.

0:42:58.800 --> 0:43:02.200
<v Speaker 2>It was amazing to someone say, science, it's amazing. How

0:43:02.239 --> 0:43:04.560
<v Speaker 2>these things did you ever get up? I have gotten

0:43:04.600 --> 0:43:08.279
<v Speaker 2>up many times to see a sunrise and it's like dark, dark, dark,

0:43:08.280 --> 0:43:09.520
<v Speaker 2>and then all of a sudden it breaks and it's

0:43:09.560 --> 0:43:12.000
<v Speaker 2>like it's like up and it's just it's really what a.

0:43:12.040 --> 0:43:13.919
<v Speaker 3>What a world we live in? It's pretty pretty cool.

0:43:14.120 --> 0:43:17.120
<v Speaker 2>Yeah, it's actually planet Earth. Kind of love you all right,

0:43:17.680 --> 0:43:20.000
<v Speaker 2>Also really really like Our next guest our drive to

0:43:20.000 --> 0:43:22.120
<v Speaker 2>the closed. Guest back with us is carolsh Life. She's

0:43:22.200 --> 0:43:25.880
<v Speaker 2>chief investment officer at Female Family Office, joining us from Chicago,

0:43:25.880 --> 0:43:29.120
<v Speaker 2>where I believe you did see the eclipse? How are you?

0:43:29.440 --> 0:43:30.000
<v Speaker 4>I did?

0:43:30.080 --> 0:43:32.520
<v Speaker 9>It was great. I flew in last night and realized

0:43:32.560 --> 0:43:34.279
<v Speaker 9>I was going to see a lot more eclipse here

0:43:34.280 --> 0:43:36.959
<v Speaker 9>in Chicago than I would have seen in Minneapolis today.

0:43:37.000 --> 0:43:37.640
<v Speaker 4>So it was fun.

0:43:37.680 --> 0:43:40.160
<v Speaker 9>And they handed out glasses this morning, so we all

0:43:40.160 --> 0:43:42.040
<v Speaker 9>got to be get was he your first one?

0:43:43.160 --> 0:43:43.359
<v Speaker 4>Yeah?

0:43:43.440 --> 0:43:46.080
<v Speaker 9>It was, it was we we kind of we see

0:43:46.080 --> 0:43:47.840
<v Speaker 9>a lot of northern lights up there though, so I

0:43:47.880 --> 0:43:49.399
<v Speaker 9>have that advantage all summer long.

0:43:49.680 --> 0:43:53.520
<v Speaker 2>That is actually a really sweet thing, very very cool. So,

0:43:54.160 --> 0:43:56.319
<v Speaker 2>speaking about seeing things, what are you seeing when you

0:43:56.360 --> 0:44:02.080
<v Speaker 2>look at Sorry nice kidding away, So what do you

0:44:02.120 --> 0:44:05.680
<v Speaker 2>say when you look at today's market environment? Not just Monday,

0:44:05.800 --> 0:44:08.680
<v Speaker 2>but just really I feel like Carol, the rethink once

0:44:08.719 --> 0:44:10.879
<v Speaker 2>again in terms of the narrative around what the Fed

0:44:11.000 --> 0:44:11.799
<v Speaker 2>might do this year.

0:44:13.080 --> 0:44:14.800
<v Speaker 9>Well, I think it's not only that rethink, but I

0:44:14.880 --> 0:44:18.560
<v Speaker 9>think this week in particular, people don't want to get

0:44:18.560 --> 0:44:21.840
<v Speaker 9>in front of the Cpippi Bank earnings. It's a very

0:44:21.880 --> 0:44:25.680
<v Speaker 9>interest rate sensitive week, and so you could see some

0:44:25.760 --> 0:44:28.440
<v Speaker 9>volatility later in the week. But we were never in

0:44:28.480 --> 0:44:32.000
<v Speaker 9>the camp expecting six to seven cuts, like the market

0:44:32.320 --> 0:44:34.880
<v Speaker 9>got ahead of itself. We think late last year we

0:44:34.920 --> 0:44:38.800
<v Speaker 9>had in our annual update we wrote two maybe three

0:44:39.880 --> 0:44:43.600
<v Speaker 9>excuse me cuts as our base case, and now thinking

0:44:44.080 --> 0:44:48.360
<v Speaker 9>that it really doesn't matter realistically for the intermediate and

0:44:48.480 --> 0:44:52.359
<v Speaker 9>longer term how many cuts we get this year. It's

0:44:52.480 --> 0:44:55.600
<v Speaker 9>directionally where we're going. And the important thing is is

0:44:55.640 --> 0:44:59.080
<v Speaker 9>the reason we don't see the bed anxious to start

0:44:59.120 --> 0:45:01.480
<v Speaker 9>cutting is because economies in great shape.

0:45:02.320 --> 0:45:05.240
<v Speaker 2>So if we get no rate cuts, who cares because

0:45:05.360 --> 0:45:08.240
<v Speaker 2>the economy is a great shape. Isn't that simple?

0:45:08.560 --> 0:45:09.600
<v Speaker 6>Yeah, I don't.

0:45:09.600 --> 0:45:12.160
<v Speaker 9>I wouldn't say who cares. You'll probably get some volatility

0:45:12.239 --> 0:45:15.480
<v Speaker 9>we get no cuts this year, but you know, if

0:45:15.520 --> 0:45:17.320
<v Speaker 9>you get a cutter to push towards the end of

0:45:17.360 --> 0:45:19.239
<v Speaker 9>the year and if you have some visibility on there.

0:45:19.280 --> 0:45:21.360
<v Speaker 9>And we also have a very big election that comes

0:45:21.400 --> 0:45:23.880
<v Speaker 9>between here and the end of the year, so there'll

0:45:23.960 --> 0:45:27.040
<v Speaker 9>be a lot of issue over that. But I think

0:45:27.040 --> 0:45:29.839
<v Speaker 9>the important thing is is this secular trend we've got

0:45:29.840 --> 0:45:32.880
<v Speaker 9>going on from and you've had a lot of guests

0:45:32.920 --> 0:45:35.400
<v Speaker 9>on in the last couple of weeks in particular, talking

0:45:35.440 --> 0:45:39.280
<v Speaker 9>about how important that secular trend of the infrastructure rebuild

0:45:39.320 --> 0:45:42.040
<v Speaker 9>that we're doing here, the rebuild, the build out you

0:45:42.080 --> 0:45:46.720
<v Speaker 9>know news this morning with funding for TSMC and news

0:45:46.760 --> 0:45:49.520
<v Speaker 9>out a couple of weeks ago for funding for Intel that'

0:45:49.520 --> 0:45:52.160
<v Speaker 9>stop seventy five percent of it isn't even out the

0:45:52.239 --> 0:45:55.200
<v Speaker 9>door yet. So we've got a lot of build intermediate

0:45:55.200 --> 0:45:58.120
<v Speaker 9>and longer term to focus on keeping this economy pretty healthy.

0:45:58.200 --> 0:45:59.719
<v Speaker 2>I feel like that was something that was kind of

0:46:00.040 --> 0:46:02.600
<v Speaker 2>I agree with you that people were, some of our

0:46:02.640 --> 0:46:04.279
<v Speaker 2>guests were coming on was it late last year, early

0:46:04.360 --> 0:46:06.920
<v Speaker 2>this year, just reminding us that, all right, everybody knew

0:46:06.920 --> 0:46:10.720
<v Speaker 2>you're a little nervous about maybe you know this market rally,

0:46:10.760 --> 0:46:12.880
<v Speaker 2>but that there's still a lot of spend going on

0:46:12.960 --> 0:46:17.080
<v Speaker 2>in the economy because of some of the federal government programs,

0:46:17.120 --> 0:46:19.440
<v Speaker 2>especially when it comes to infrastructure, and as you say,

0:46:19.640 --> 0:46:21.400
<v Speaker 2>they're not all out that door. That money's going to

0:46:21.440 --> 0:46:23.640
<v Speaker 2>go somewhere, and that goes somewhere, it means it goes

0:46:23.640 --> 0:46:24.800
<v Speaker 2>into the economy.

0:46:24.440 --> 0:46:28.680
<v Speaker 9>Right well, and I definitely right there. And I think

0:46:28.719 --> 0:46:30.760
<v Speaker 9>the other thing to watch us we're an earning season

0:46:30.960 --> 0:46:33.680
<v Speaker 9>is look at those big, big tech companies and look

0:46:33.680 --> 0:46:35.920
<v Speaker 9>at how much they're spending on a quarterly basis for

0:46:36.080 --> 0:46:39.279
<v Speaker 9>infrastructure build out for data centers. And we can't even

0:46:39.280 --> 0:46:41.560
<v Speaker 9>hook all those data centers to the grid. So we've

0:46:41.600 --> 0:46:45.319
<v Speaker 9>got to get accelerated on that green grid, or not

0:46:45.400 --> 0:46:48.960
<v Speaker 9>just green grid, but on the transition grid or existing grid.

0:46:49.080 --> 0:46:52.840
<v Speaker 9>We've got infrastructure here. We've got major gas pipes and

0:46:52.920 --> 0:46:55.200
<v Speaker 9>electricity pipes that were put in in what the late

0:46:55.200 --> 0:46:57.880
<v Speaker 9>eighteen hundreds, early nineteen hundreds. We've got a lot of

0:46:57.920 --> 0:47:00.960
<v Speaker 9>serious infrastructure we build we need to do. You know,

0:47:01.000 --> 0:47:04.560
<v Speaker 9>you've got the key bridge and then focus on that infrastructure.

0:47:04.600 --> 0:47:07.959
<v Speaker 9>We had our very own bridge in Minnesota go down

0:47:08.360 --> 0:47:10.560
<v Speaker 9>a decade and a half ago, and the thing that

0:47:10.640 --> 0:47:13.319
<v Speaker 9>amazed me is they got it put back up in

0:47:13.360 --> 0:47:15.680
<v Speaker 9>a year and a half. Yeah, and so I think

0:47:15.840 --> 0:47:18.359
<v Speaker 9>that's one of Yeah, that's one of the things that's

0:47:18.400 --> 0:47:22.520
<v Speaker 9>really amazing. But you marshal those national and local resources,

0:47:22.760 --> 0:47:24.440
<v Speaker 9>and that's what's got to happen in a lot of

0:47:24.520 --> 0:47:25.520
<v Speaker 9>this industrial spend.

0:47:25.719 --> 0:47:28.239
<v Speaker 3>Well, I get that there is the political will to

0:47:28.280 --> 0:47:31.040
<v Speaker 3>do that for one off projects and for tragedies like

0:47:31.040 --> 0:47:32.680
<v Speaker 3>that one, and for the most recent one that you

0:47:33.040 --> 0:47:35.759
<v Speaker 3>talk about, Carol. But I'm wondering if there's you know,

0:47:35.800 --> 0:47:37.920
<v Speaker 3>if there is the political will to actually do this

0:47:38.000 --> 0:47:41.000
<v Speaker 3>on a nationwide basis, because well, you have a lot

0:47:41.040 --> 0:47:44.520
<v Speaker 3>of competing factions. It's not like lawmakers are necessarily going

0:47:44.600 --> 0:47:47.400
<v Speaker 3>to fight for other for other states to get funding.

0:47:48.520 --> 0:47:52.520
<v Speaker 9>Yeah, and it's a very valid point. It's difficult to

0:47:52.560 --> 0:47:54.719
<v Speaker 9>get things permitted here. It's one of the reasons why

0:47:54.719 --> 0:47:57.760
<v Speaker 9>we've seen the delay in the build up because the

0:47:57.920 --> 0:48:00.560
<v Speaker 9>Chips Act, I think was passed in twenty one twenty two,

0:48:00.600 --> 0:48:02.440
<v Speaker 9>so it's a couple of years out there. So getting

0:48:02.440 --> 0:48:04.279
<v Speaker 9>the money out of the door is difficult because then

0:48:04.280 --> 0:48:06.000
<v Speaker 9>you've got to get it permitted, you've got to go

0:48:06.080 --> 0:48:09.040
<v Speaker 9>through environmental review, You've got you know, and that's one

0:48:09.040 --> 0:48:11.720
<v Speaker 9>of the things that you know, Congress has talked about

0:48:11.760 --> 0:48:14.640
<v Speaker 9>trying to trying to address too, is can we get

0:48:14.640 --> 0:48:19.800
<v Speaker 9>this stuff permitted more quickly. You know, in certain downtowns

0:48:19.800 --> 0:48:24.280
<v Speaker 9>where they're trying to permit higher density housing, they're getting

0:48:24.320 --> 0:48:26.960
<v Speaker 9>pushed back. So there is a lot of that going on.

0:48:27.200 --> 0:48:29.759
<v Speaker 9>But the will is there, and if we all want

0:48:29.800 --> 0:48:32.600
<v Speaker 9>to continue to use chat GPT, we've got to get

0:48:32.880 --> 0:48:35.880
<v Speaker 9>we've got to be able to hook that processing power

0:48:35.880 --> 0:48:36.400
<v Speaker 9>to the grids.

0:48:36.600 --> 0:48:39.200
<v Speaker 2>How much do you use CHATTYPT? I wonder.

0:48:39.800 --> 0:48:43.360
<v Speaker 9>I actually am a late adopter on that. But the

0:48:43.440 --> 0:48:45.920
<v Speaker 9>interesting thing is is I think looking at the number

0:48:45.920 --> 0:48:52.320
<v Speaker 9>of places that that artificial intelligence is already being used.

0:48:52.400 --> 0:48:54.759
<v Speaker 9>I had a scan done last week and when I

0:48:54.800 --> 0:48:58.240
<v Speaker 9>got noticed within twelve hours that it had been read.

0:48:58.680 --> 0:49:01.719
<v Speaker 9>You could tell from the the doctors known initially that

0:49:02.400 --> 0:49:05.840
<v Speaker 9>they had used artificial intelligence to do that initial screening.

0:49:05.840 --> 0:49:08.399
<v Speaker 3>To actually screen so manjor to write through the write

0:49:08.480 --> 0:49:10.239
<v Speaker 3>up to do it.

0:49:10.160 --> 0:49:13.240
<v Speaker 4>To screen the image okay wow yeah.

0:49:13.440 --> 0:49:16.399
<v Speaker 9>And so you know a use case is is you

0:49:16.440 --> 0:49:19.600
<v Speaker 9>look at a lot of those initial, those routine screens

0:49:19.600 --> 0:49:22.840
<v Speaker 9>that people have and to feed them through artificial intelligence

0:49:22.840 --> 0:49:25.719
<v Speaker 9>where they can say to the radiologist, oh, these are

0:49:25.760 --> 0:49:28.520
<v Speaker 9>the fifteen that look like they might have something going on.

0:49:28.640 --> 0:49:32.839
<v Speaker 9>Your view needs these fifteen first. So use cases all

0:49:32.880 --> 0:49:36.080
<v Speaker 9>the way through the system in terms of already there,

0:49:36.200 --> 0:49:40.120
<v Speaker 9>because artificial intelligence companies have been building use cases for

0:49:40.160 --> 0:49:43.080
<v Speaker 9>a decade. It's just the generative AI that we're all

0:49:43.719 --> 0:49:45.120
<v Speaker 9>getting access to now.

0:49:45.160 --> 0:49:47.120
<v Speaker 2>Right right, it takes it to a whole other level,

0:49:47.160 --> 0:49:50.359
<v Speaker 2>right in terms of the information it can use. How

0:49:50.440 --> 0:49:52.680
<v Speaker 2>is that just thirty seconds? It's just going through that

0:49:52.880 --> 0:49:57.440
<v Speaker 2>personal experience and seeing that and realizing, wait a minute, Okay,

0:49:57.480 --> 0:49:59.880
<v Speaker 2>this stuff is not just something we continue to talk about,

0:50:00.120 --> 0:50:02.000
<v Speaker 2>but people are not only made the investment, but they're

0:50:02.000 --> 0:50:04.920
<v Speaker 2>actually putting it to use. Is it shaping your investment

0:50:05.080 --> 0:50:07.919
<v Speaker 2>thesis or think? And just got about thirty centies? Yeah,

0:50:08.680 --> 0:50:09.120
<v Speaker 2>I think.

0:50:09.000 --> 0:50:11.640
<v Speaker 9>It does all the way through, because our research team

0:50:11.840 --> 0:50:16.400
<v Speaker 9>definitely uses some of the various things and they're pulling

0:50:16.400 --> 0:50:19.520
<v Speaker 9>out for us. How the companies that they cover are

0:50:19.560 --> 0:50:23.520
<v Speaker 9>building use cases and in some cases in the energy industry,

0:50:23.560 --> 0:50:28.000
<v Speaker 9>for example, one of the companies couldn't lure enough AI

0:50:28.040 --> 0:50:31.880
<v Speaker 9>engineers through so they sent their own engineers to Mit

0:50:32.160 --> 0:50:34.680
<v Speaker 9>for two hundred of them to build their own Well.

0:50:34.760 --> 0:50:38.480
<v Speaker 2>Jamie Diamond likens ais transformational impact of steel like to

0:50:38.520 --> 0:50:40.960
<v Speaker 2>the steam engine and the impact it had on our economy.

0:50:41.040 --> 0:50:42.239
<v Speaker 2>So everybody's all over it.

0:50:42.960 --> 0:50:46.760
<v Speaker 1>This is the Bloomberg Business Week Podcast, a little Apple,

0:50:47.000 --> 0:50:50.560
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