WEBVTT - U.S Tech, Lululemon Earnings

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. You're listening to the

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<v Speaker 2>Let's talk technology here. There's a lot happening again. The

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<v Speaker 2>Bloomberg News story today, which is just amazing to me. Nvidia,

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<v Speaker 2>Microsoft and Apple are bigger than the China stock market.

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<v Speaker 3>That's it.

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<v Speaker 2>I don't know who did that math, but that's like

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<v Speaker 2>a good math. That makes a good story to me.

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<v Speaker 4>That's a great story. I mean, does it mean they're

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<v Speaker 4>overvalued or China's undervalued?

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<v Speaker 2>All right, let me check in with somebody who might

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<v Speaker 2>have an opinion here on Rock ran a Bloomberg Intelligence

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<v Speaker 2>senior tech analyst on a Rock. I mean, ever since

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<v Speaker 2>I've known you, this is we're going fourteen years. You've

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<v Speaker 2>got like the easiest job on Wall Street. All you

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<v Speaker 2>got to do is say tech spending is going up.

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<v Speaker 2>Buy these things that's good for technology. Step back today,

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<v Speaker 2>you walk into a portfolio manager's office here, and the

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<v Speaker 2>portfolio manager he's been in he or she has been

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<v Speaker 2>in industrials their entire career. Now they're told they need

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<v Speaker 2>to get some tech exposure. Where do you send them?

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<v Speaker 5>Yeah, so this is you know, you just made a

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<v Speaker 5>comment that you know, eighteen months ago or so when

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<v Speaker 5>you heard of AI, you said, go by in video

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<v Speaker 5>and that's you know, that has worked out very well.

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<v Speaker 5>But now the question is for the next leg of

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<v Speaker 5>AI beneficiaries, do you go downstream or you still stick

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<v Speaker 5>to the hardware players? And that's a very tough question, frankly,

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<v Speaker 5>but there are enough players in the software area, in

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<v Speaker 5>the in the services area that have not seen the

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<v Speaker 5>benefit of AI, and I think those are the companies

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<v Speaker 5>they're going to see sales improve over the next you know,

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<v Speaker 5>let's say a couple of years, because the downstream effect

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<v Speaker 5>of all the increased spending has to reach them.

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<v Speaker 6>It's just a matter of time.

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<v Speaker 5>The difficult part is to put a real pulse on

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<v Speaker 5>when that's going to happen.

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<v Speaker 4>Yeah, let me throw a fly into the ointment. Can

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<v Speaker 4>the Justice Department screw all this up at some point?

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<v Speaker 6>Yeah, they will try very hard.

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<v Speaker 5>And you know, I think these companies are also getting

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<v Speaker 5>smarter and smarter. But frankly speaking, I think what we

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<v Speaker 5>saw after the financial crisis was banks did become much bigger,

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<v Speaker 5>and I think unfortunately for the Justice Department and other regulators,

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<v Speaker 5>I think the large tech companies will become much bigger

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<v Speaker 5>because of AI, just because they have the capacity to

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<v Speaker 5>run these workloads. It's not easy to run them in

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<v Speaker 5>your you know, backyard or so you really need powerful

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<v Speaker 5>computers to do these processing and they have an unfair

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<v Speaker 5>advantage here.

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<v Speaker 3>All right, Anrarag. We can't get you on the horn

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<v Speaker 3>without talking about Apple.

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<v Speaker 2>And I know next week June tenth, I believe, will

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<v Speaker 2>be the Developer Conference for Apple, and that's a you know,

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<v Speaker 2>an event every year where people like John Tucker and

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<v Speaker 2>I who don't know much about technology, we do pay

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<v Speaker 2>attention because that tends to be when Apple introduces some

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<v Speaker 2>cool stuff, maybe that it moves the stock of Apple,

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<v Speaker 2>maybe it moves the socks in other tech companies. Give

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<v Speaker 2>us a preview of June tenth at in Cupertino, California.

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<v Speaker 5>Yeah, so I would say that you know, these companies

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<v Speaker 5>hold these events every year, but I would say for Apple,

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<v Speaker 5>I don't think it has ever been so important than

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<v Speaker 5>this year as to what big updates they're going to

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<v Speaker 5>do their software because right now, Apples was caught off

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<v Speaker 5>guard like most of the companies did when chat GPD

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<v Speaker 5>came out and people figured out they are really behind

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<v Speaker 5>the curve when it comes to AI adoption or their

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<v Speaker 5>you know, investments in this area.

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<v Speaker 6>So Apple's been behind, there's no lying about it.

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<v Speaker 5>But we are expected to see you know, you could

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<v Speaker 5>say alliance between Apple and Open Ai. We don't know

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<v Speaker 5>if they're going to do a similar deal with with Google.

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<v Speaker 5>That's pending, So there's going to be a lot of

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<v Speaker 5>interesting stuff that shows up on Monday when Apple's going

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<v Speaker 5>to showcase how this technology is going to get into

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<v Speaker 5>your phone and make your life a little bit easier

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<v Speaker 5>than what it is. And if that, if that thing

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<v Speaker 5>goes through, if it's executed, well, then the the shipment

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<v Speaker 5>data or the unit unit sales data that we have

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<v Speaker 5>seen for iPhones over the last three years, which has

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<v Speaker 5>typically been flat, I mean, the Apple's not seen any

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<v Speaker 5>improvement there.

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<v Speaker 6>I mean you could see a lift over there.

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<v Speaker 4>Let me ask you about Microsoft real quickly. What's the

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<v Speaker 4>deal that they struck with this AI startup.

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<v Speaker 7>I think it's Inflection, Yeah, so basically they paid them

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<v Speaker 7>a fee as you could say compensation to hire a

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<v Speaker 7>lot of their employees and make them part of Microsoft's

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<v Speaker 7>internal AI division.

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<v Speaker 5>And that's the you know, that's what it's been looked

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<v Speaker 5>at because, as you know, larger companies cannot easily buy

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<v Speaker 5>any companies at this point, or AI companies, so they

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<v Speaker 5>are trying to see if they could.

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<v Speaker 6>They are you know, you could.

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<v Speaker 5>Say, skirting the rules around acquisitions by doing this end

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<v Speaker 5>mass hiring folks.

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<v Speaker 2>One of the I think the real key advantages of

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<v Speaker 2>Bloomberg Intelligence is that they have access to the best

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<v Speaker 2>data for every industry that they cover in a technology space.

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<v Speaker 3>One of those data.

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<v Speaker 2>Providers Thatloomberg Intelligence has access to is id C. That

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<v Speaker 2>is the gold plated provider of really independent data on

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<v Speaker 2>tech spending, amongst other things a RAG. I know, you've

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<v Speaker 2>worked a lot with the IDC folks. You use your

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<v Speaker 2>the id data a lot in your research. What are

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<v Speaker 2>you getting, What are you sensing in terms of total

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<v Speaker 2>tech spend, in terms of what's incremental for AI and

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<v Speaker 2>maybe what's just kind of taking from one tech you know,

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<v Speaker 2>capex budget and.

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<v Speaker 3>Putting it into AI. What do we know?

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<v Speaker 5>Yeah, so at least this for this year, for twenty

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<v Speaker 5>twenty four. It's more of a reallocation at this point,

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<v Speaker 5>and you know, you have to really think you're long

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<v Speaker 5>and hard and say whether that's going to be the

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<v Speaker 5>same case in twenty five and twenty six.

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<v Speaker 6>We think things are going to improve.

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<v Speaker 5>Geopolitical conditions are not the best right now, so CIOs

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<v Speaker 5>or CFOs are not that excited about ramping up their

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<v Speaker 5>tech budgets. But we think tech as a percentagea of

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<v Speaker 5>global GDP is still a small portion. It's you know,

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<v Speaker 5>we talk about a lot, but it's not as big

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<v Speaker 5>as let's say, healthcare spending in the US, for example,

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<v Speaker 5>when you compare both the numbers.

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<v Speaker 6>So we really feel.

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<v Speaker 5>That, I mean, there are enough you could say, legs

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<v Speaker 5>to this particular story out now. We think it's going

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<v Speaker 5>to be in the form of more software spending over

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<v Speaker 5>the next several years than services spending. Hardware is doing well,

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<v Speaker 5>So I think that may continue or that may not.

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<v Speaker 5>That it's a big question, but we think we think

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<v Speaker 5>it's going to be incremental spent coming in the next

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<v Speaker 5>few years.

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<v Speaker 4>The expectations are really high for technology. What if they

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<v Speaker 4>don't meet the expectations, What's what's in the unexpected bin

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<v Speaker 4>at this point and the potential downside.

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<v Speaker 5>Yeah, you see, you talked about two or three names,

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<v Speaker 5>you know, Nvidia, Apple, and Microsoft. But if you look

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<v Speaker 5>at other companies, let's say, if you were to pull

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<v Speaker 5>a chart of salesforce or workday or accenture or you

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<v Speaker 5>know tcs, they've all been going down or they have

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<v Speaker 5>not seen the same benefit coming through. And that's where

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<v Speaker 5>the allocation is being taken away from and going into

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<v Speaker 5>the hardware areas. So those are the companies that you

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<v Speaker 5>know could see slight improvement next year. The sentiment is

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<v Speaker 5>really bad in the software arena right now because of

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<v Speaker 5>the lack of that spending. I think you know that

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<v Speaker 5>may change next year if economic conditions improve, or I

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<v Speaker 5>would say geopolitical conditions improve.

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<v Speaker 2>All right, Don Rod, thanks so much for joining us

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<v Speaker 2>on Rod Rana. He's a senior technology channels for Bloomberg

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<v Speaker 2>Intelligence based in that burgeoning tech hub of Chicago, Illinois.

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<v Speaker 2>We appreciate him checking in there. So even HPE, you

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<v Speaker 2>think about HP Hewlett Packard Enterprises, they actually came out

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<v Speaker 2>with numbers yesterday were really strong and they cited AI servers.

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<v Speaker 2>So there's a company like Dell. You think Dell PC's right.

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<v Speaker 2>You think HP PCs printer stuff like that. But they're

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<v Speaker 2>doing these servers that are being used by these AI

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<v Speaker 2>folks and boomits moving their numbers.

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<v Speaker 4>Are you saying, well you have to do is attach

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<v Speaker 4>AI something else one of your products?

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<v Speaker 2>Well, one of the one of the things I'm thinking

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<v Speaker 2>about when you think about AI, what we have not

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<v Speaker 2>had like we had with Google and you know, kind

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<v Speaker 2>of the Internet and all that kind of stuff. Where's

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<v Speaker 2>that big IPO company that is the I AI ipo?

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<v Speaker 3>Like Google was, Oh how do I play the Internet? Oh?

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<v Speaker 3>You go buy this Google thing or you buy Yahoo.

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<v Speaker 2>Back in the day, you know, there isn't that IPO

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<v Speaker 2>that's coming out and everybody says, oh, this is the

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<v Speaker 2>AI play.

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<v Speaker 4>Well, I think startups and where the angel investors are

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<v Speaker 4>putting money right now, who's out there you've never heard of?

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<v Speaker 8>Right?

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<v Speaker 2>That's kind of where you know, I'm looking to the

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<v Speaker 2>dan Ives of the world to say, hey, where's that

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<v Speaker 2>next company that's going to come public that's going to

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<v Speaker 2>be the AI play.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 1>weekdays at ten am Eastern on applecard Play and Android

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<v Speaker 1>Otto with the Bloomberg Business App. You can also listen

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<v Speaker 3>John Tucker sitting in for Alex Steele. Paul Swinge.

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<v Speaker 2>You're live here in a Bloomberg Interactive Brooker's studio so

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<v Speaker 2>in New York City. Were streaming live on YouTube as well.

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<v Speaker 2>So check us out there on Bloomberg Podcast. Is how

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<v Speaker 2>you search for us there? As least was just reporting

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<v Speaker 2>Lululemon has what Bloomberg first ward is saying, Lululemon jumps

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<v Speaker 2>on quote better than feared ONEQBE reports. I think the

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<v Speaker 2>expectations a little bit low there, but the stock's ratling

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<v Speaker 2>about two and a half three percent here today. But

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<v Speaker 2>the shares of Lululemon are down thirty eight percent year

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<v Speaker 2>to date. So let's figure out what's going on there

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<v Speaker 2>in Lululemon. Again, I'm a big fan, but it's interesting

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<v Speaker 2>the stock has really been under pressure. Punhum Goyle, she's

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<v Speaker 2>a senior US retail analyst for Bloomberg Intelligence. She joins

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<v Speaker 2>us via zoom from Princeton, New Jersey. Punham, what did

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<v Speaker 2>you see in Lululemon's earnings and what does it tell

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<v Speaker 2>you about maybe the retail consumer.

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<v Speaker 8>Sure, So I think the earnings are better than expected

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<v Speaker 8>because well, we do see slow in growth at Lululemon,

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<v Speaker 8>where it's decelerating from the mid teens to low double

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<v Speaker 8>digits near ten percent. There is concern that is that

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<v Speaker 8>because of a slower macro and the fact that Lulu

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<v Speaker 8>Lemon is losing out to competition Alo Yoga, et cetera.

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<v Speaker 8>We discovered that part of that is true, but part

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<v Speaker 8>of that is not true, and I think that's why

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<v Speaker 8>investors have a little more confidence.

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<v Speaker 4>How big is the US market for them? And are

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<v Speaker 4>they selling overseas and how much?

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<v Speaker 8>Yeah, so the US market the America is eighty percent

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<v Speaker 8>of their business. International is twenty percent, with China half

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<v Speaker 8>of that.

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<v Speaker 4>And is demand picking up or slowing in China or

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<v Speaker 4>is it new to the Lulu Lemon market.

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<v Speaker 8>So international was a bright spot this quarter. International sales

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<v Speaker 8>grew about thirty five percent, and within that, China was

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<v Speaker 8>up Mainland China was up forty five percent, So a

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<v Speaker 8>lot of growth there. It's a bright spot for lul Lemon.

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<v Speaker 8>International is part of their three pronged strategy to double

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<v Speaker 8>sales into twenty twenty seven. It's been doing very very

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<v Speaker 8>well and we expect that to continue.

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<v Speaker 3>All right.

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<v Speaker 2>So and folks, if you want the best research on

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<v Speaker 2>the street on Lululan, Lululemon just gonna be I go

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<v Speaker 2>and you can find Punam's research there.

0:11:04.160 --> 0:11:05.600
<v Speaker 3>And I'm looking at your research here. Punham.

0:11:06.200 --> 0:11:08.280
<v Speaker 2>You're talking about you know, when you talk about that

0:11:08.360 --> 0:11:11.120
<v Speaker 2>doubling sales to twelve and a half million, you know

0:11:11.120 --> 0:11:14.320
<v Speaker 2>by twenty twenty six the company, and you're saying strong

0:11:14.400 --> 0:11:17.679
<v Speaker 2>international growth. Okay, I get that men's growth. Talk to

0:11:17.720 --> 0:11:19.800
<v Speaker 2>us about Lululemon and men's I mean, it's just not

0:11:20.400 --> 0:11:21.600
<v Speaker 2>John and I don't know where to go with this.

0:11:21.679 --> 0:11:23.480
<v Speaker 4>Do real men go to Lululemon?

0:11:24.400 --> 0:11:28.240
<v Speaker 8>Is what it's. Real men are going to Lululemon. You know,

0:11:28.280 --> 0:11:30.800
<v Speaker 8>it's one of their bright spots right now. And they

0:11:30.960 --> 0:11:33.800
<v Speaker 8>actually think that men's could become overtime. I think you'll say,

0:11:33.880 --> 0:11:36.640
<v Speaker 8>take some time fifty percent of the business. So there's

0:11:36.800 --> 0:11:39.240
<v Speaker 8>a lot of opportunity in men's. And you know when

0:11:39.280 --> 0:11:41.679
<v Speaker 8>you walk those stores and I looked at the men's inventory,

0:11:41.760 --> 0:11:44.920
<v Speaker 8>it actually looks great. It's not just about outfitting the

0:11:44.960 --> 0:11:47.520
<v Speaker 8>men to go to the gym. It's about outfitting the

0:11:47.559 --> 0:11:51.880
<v Speaker 8>men to go into work with casual, comfortable where that they.

0:11:51.760 --> 0:11:56.000
<v Speaker 4>Can where everybody who listens to this program of views

0:11:56.000 --> 0:12:00.360
<v Speaker 4>this on YouTube knows Paul is the company fashion police. Yes,

0:12:00.440 --> 0:12:03.600
<v Speaker 4>if you saw somebody in like Lululemon come into the office,

0:12:04.080 --> 0:12:04.640
<v Speaker 4>might have a.

0:12:04.600 --> 0:12:05.880
<v Speaker 3>Film, it might be a problem.

0:12:05.880 --> 0:12:07.880
<v Speaker 2>But I'm going to refer to Punum because she knows

0:12:07.960 --> 0:12:11.360
<v Speaker 2>fashion here and she knows what works. So if I'm

0:12:11.440 --> 0:12:15.160
<v Speaker 2>Lulu Lemon, talk to us just about what they're saying

0:12:15.200 --> 0:12:18.160
<v Speaker 2>about the consumer out there, Punham.

0:12:18.520 --> 0:12:20.600
<v Speaker 8>So the consumer, We've been talking about this for a

0:12:20.640 --> 0:12:24.360
<v Speaker 8>while now. The consumer is selective. They're choosing where to shop,

0:12:24.520 --> 0:12:26.840
<v Speaker 8>when to shop, how to shop, and if they see

0:12:26.880 --> 0:12:29.360
<v Speaker 8>the right product, they are still purchasing it. The one

0:12:29.360 --> 0:12:32.080
<v Speaker 8>thing that struck out during the call was that traffic

0:12:32.280 --> 0:12:35.079
<v Speaker 8>was up in the quarter, which means people are still

0:12:35.120 --> 0:12:38.040
<v Speaker 8>going to Lulu Lemon. They still have purchased intent. But

0:12:38.320 --> 0:12:41.160
<v Speaker 8>there were some product missteps which they're working to correct

0:12:41.160 --> 0:12:43.560
<v Speaker 8>into the second half of the year, where they didn't

0:12:43.600 --> 0:12:45.880
<v Speaker 8>have the right colors, or they didn't have enough colors.

0:12:45.880 --> 0:12:48.600
<v Speaker 8>I should say, they didn't have enough depth and sizes.

0:12:48.640 --> 0:12:50.640
<v Speaker 8>They were running out of the small sizes. So these

0:12:50.679 --> 0:12:53.200
<v Speaker 8>are problems that I would think are execution related and

0:12:53.400 --> 0:12:55.760
<v Speaker 8>are being fixed and can be fixed into the back half.

0:12:56.080 --> 0:12:58.520
<v Speaker 8>So while there is still part of a macro problem,

0:12:58.800 --> 0:13:02.000
<v Speaker 8>the story isn't that Lemon people are not going to

0:13:02.040 --> 0:13:04.439
<v Speaker 8>shop there. People still are interested in the apparel. They

0:13:04.480 --> 0:13:07.440
<v Speaker 8>just have to fix the product a little and really

0:13:07.440 --> 0:13:09.280
<v Speaker 8>improve our execution into the back half.

0:13:09.600 --> 0:13:12.640
<v Speaker 4>They're known for form fitting, but just to get back

0:13:12.640 --> 0:13:15.720
<v Speaker 4>to the men's fashion, they have anything for old fat guys.

0:13:17.320 --> 0:13:21.160
<v Speaker 8>Well, their ABC men's franchise is really popular and it's

0:13:21.240 --> 0:13:24.920
<v Speaker 8>not form fitting. It's about the casual flare and they

0:13:24.960 --> 0:13:28.080
<v Speaker 8>have done very well there. And you don't need to

0:13:28.080 --> 0:13:30.960
<v Speaker 8>wear tight leggings for men's that's not the appeal there.

0:13:31.000 --> 0:13:33.559
<v Speaker 8>That's for the women. But I'd say even for the woman,

0:13:33.600 --> 0:13:35.760
<v Speaker 8>you know what worked really well in the corner where

0:13:35.760 --> 0:13:38.920
<v Speaker 8>they're loose fitting pants and their biker shorts. So yes,

0:13:39.000 --> 0:13:41.600
<v Speaker 8>leggings is a big business for them, but they are

0:13:41.640 --> 0:13:42.240
<v Speaker 8>broadening that.

0:13:43.320 --> 0:13:44.800
<v Speaker 3>Hey, let's switch gears just a little bit.

0:13:44.800 --> 0:13:47.040
<v Speaker 2>I saw it yesterday reporting in a Wall Street journal

0:13:47.040 --> 0:13:51.319
<v Speaker 2>Punum Dollar Tree is among the potential sales spin off

0:13:51.320 --> 0:13:52.240
<v Speaker 2>of Family Dollar.

0:13:52.440 --> 0:13:54.960
<v Speaker 3>What is going on with the dollar stores here.

0:13:55.080 --> 0:13:57.880
<v Speaker 2>I would have thought that if a part of the

0:13:57.880 --> 0:14:01.439
<v Speaker 2>consumer market is weak and the low end economically, that.

0:14:01.440 --> 0:14:04.600
<v Speaker 3>Perhaps that would be good for the dollar stores. But

0:14:04.960 --> 0:14:05.920
<v Speaker 3>what's going on there?

0:14:06.679 --> 0:14:10.160
<v Speaker 8>So they're really two very different types of dollar stores.

0:14:10.240 --> 0:14:13.880
<v Speaker 8>Gen Bartashus covers the space, but from my coverage over

0:14:14.080 --> 0:14:17.440
<v Speaker 8>years ago, I can tell you that Dollar Tree targets everyone, right.

0:14:17.520 --> 0:14:19.360
<v Speaker 8>I would shop at Dollar Tree, Paul. You would shop

0:14:19.400 --> 0:14:21.760
<v Speaker 8>a Dollar Tree. You buy that one twenty five item

0:14:21.840 --> 0:14:25.840
<v Speaker 8>there and you go treasure hunt. But a family Dollar customer,

0:14:25.960 --> 0:14:28.960
<v Speaker 8>that's their principal discount store. That is where they buy

0:14:29.000 --> 0:14:31.040
<v Speaker 8>their groceries, that is where they buy their day to

0:14:31.120 --> 0:14:34.440
<v Speaker 8>day needs. So as that customer's wallet is being stretched,

0:14:34.760 --> 0:14:36.920
<v Speaker 8>that business does come into more pressure.

0:14:37.920 --> 0:14:40.880
<v Speaker 4>I'm going to tell you my Dollar Tree story. I

0:14:40.920 --> 0:14:43.160
<v Speaker 4>bought a loaf of bread I brought to the counter

0:14:43.600 --> 0:14:48.640
<v Speaker 4>and the casher said, sir, you don't want that. Apparently

0:14:48.640 --> 0:14:51.040
<v Speaker 4>they had some sort of rat problem. I didn't know

0:14:51.080 --> 0:14:51.520
<v Speaker 4>about it.

0:14:53.360 --> 0:14:55.680
<v Speaker 3>All right, Punam, thank you so much for joining us there.

0:14:55.800 --> 0:14:58.520
<v Speaker 2>Putnam Goyle, Senior US e Commerce and retail Anams Bloomberg

0:14:58.560 --> 0:15:02.200
<v Speaker 2>Intelligence give us a breakdown on Lululemon again, some better

0:15:02.240 --> 0:15:04.800
<v Speaker 2>than feared or results, and n actually lifted their guidance

0:15:04.840 --> 0:15:07.360
<v Speaker 2>a little bit here. So some good news there for

0:15:07.440 --> 0:15:09.440
<v Speaker 2>Lululemon stocks up about two and a half percent, but

0:15:09.480 --> 0:15:13.200
<v Speaker 2>it's down pretty big this year, concerns about growth.

0:15:13.200 --> 0:15:13.440
<v Speaker 4>There.

0:15:15.800 --> 0:15:19.680
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:15:19.760 --> 0:15:22.840
<v Speaker 1>weekdays at ten am Eastern on Apple Car playing Android

0:15:22.880 --> 0:15:25.960
<v Speaker 1>otto with the Bloomberg Business app. Listen on demand wherever

0:15:26.040 --> 0:15:29.880
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0:15:31.120 --> 0:15:33.840
<v Speaker 2>If you look at the equal weighted standard and Poor's

0:15:33.880 --> 0:15:36.800
<v Speaker 2>index of about five percent, the question is kind of

0:15:36.840 --> 0:15:38.440
<v Speaker 2>where do we go from here with We've got a

0:15:38.480 --> 0:15:40.280
<v Speaker 2>FED that appears at.

0:15:40.240 --> 0:15:42.480
<v Speaker 3>Some point it's going to be cutting rates. You got

0:15:42.520 --> 0:15:43.000
<v Speaker 3>that on one hand.

0:15:43.040 --> 0:15:45.800
<v Speaker 2>The other hand, you've got decent earnings growth That kind

0:15:45.800 --> 0:15:48.240
<v Speaker 2>of seems pretty constructive here in the marketplace. Let's check

0:15:48.280 --> 0:15:50.200
<v Speaker 2>in with somebody who does this stuff for a living.

0:15:50.280 --> 0:15:52.960
<v Speaker 2>Nicole Webbs. She's the senior vice president. She's a financial

0:15:52.960 --> 0:15:56.760
<v Speaker 2>advisor at Wealth Enhancement Group, joining us via that Zoom thing.

0:15:57.080 --> 0:15:58.840
<v Speaker 2>So Nicole, is you sit down and talk to your

0:15:58.840 --> 0:16:02.320
<v Speaker 2>clients here today. They've had a pretty good start to

0:16:02.360 --> 0:16:04.760
<v Speaker 2>the year by and large. What are you telling them

0:16:04.760 --> 0:16:06.160
<v Speaker 2>about the back half of this year.

0:16:07.160 --> 0:16:09.160
<v Speaker 9>Yeah, you know, I think the back half is a

0:16:09.160 --> 0:16:13.880
<v Speaker 9>little bit to be determined, But in the interim, we

0:16:13.960 --> 0:16:16.240
<v Speaker 9>expect it to be pretty choppy. And I say that,

0:16:16.720 --> 0:16:19.160
<v Speaker 9>you know, for a myriad of reasons. You know, I

0:16:19.240 --> 0:16:22.320
<v Speaker 9>think the first being, there was so much expectation that

0:16:22.600 --> 0:16:25.680
<v Speaker 9>entering this year and your lead in was so perfect,

0:16:26.080 --> 0:16:28.280
<v Speaker 9>was that you know, we're going to see this broadening

0:16:28.400 --> 0:16:31.880
<v Speaker 9>out in the market, a breath that would come through

0:16:31.880 --> 0:16:34.800
<v Speaker 9>the first two quarters of twenty twenty four, and that's

0:16:34.840 --> 0:16:37.440
<v Speaker 9>not really been the case. And actually over the last

0:16:37.480 --> 0:16:40.560
<v Speaker 9>couple of weeks which we've seen is less breath and

0:16:40.840 --> 0:16:44.720
<v Speaker 9>more leadership in mega technology again, and so you know,

0:16:45.120 --> 0:16:50.120
<v Speaker 9>probably to get that next stickiness the next run from here,

0:16:50.640 --> 0:16:53.840
<v Speaker 9>one would expect that we need more confidence throughout the

0:16:53.880 --> 0:16:57.840
<v Speaker 9>cap spectrum, not just concentrated in technology. And then you

0:16:57.880 --> 0:16:59.560
<v Speaker 9>couple that with the fact that we've had a lot

0:16:59.560 --> 0:17:01.960
<v Speaker 9>of interest rate volatility. I mean, really even in the

0:17:02.040 --> 0:17:06.680
<v Speaker 9>last five, six, seven trading days, the tenure has moved

0:17:06.680 --> 0:17:09.600
<v Speaker 9>a lot, and so you know, there's there's some underpinnings

0:17:09.600 --> 0:17:13.080
<v Speaker 9>to this market right now that we expect to keep

0:17:13.119 --> 0:17:15.320
<v Speaker 9>it choppy for the coming weeks ahead.

0:17:15.840 --> 0:17:19.640
<v Speaker 4>The data that we've been getting, does that show slowing

0:17:19.680 --> 0:17:22.840
<v Speaker 4>that indicates, uh, interest rate cut that's going to be

0:17:22.880 --> 0:17:26.320
<v Speaker 4>good for equities, or does it show slowing of the

0:17:26.400 --> 0:17:28.960
<v Speaker 4>economy that's going to be bad for corporate profits.

0:17:30.480 --> 0:17:35.360
<v Speaker 9>You know, our stance on cuts is that it kind

0:17:35.359 --> 0:17:38.399
<v Speaker 9>of circles back to the ECB today, which I I

0:17:38.480 --> 0:17:42.200
<v Speaker 9>loved that their words were a bit hawkish in tone,

0:17:42.800 --> 0:17:46.440
<v Speaker 9>but their actions were that they want to see rate stabilize.

0:17:47.800 --> 0:17:50.280
<v Speaker 4>Yeah, they ec be cut, but at the same time

0:17:50.359 --> 0:17:54.800
<v Speaker 4>Lagarn also said there were inflation concerns or if she

0:17:54.880 --> 0:17:57.119
<v Speaker 4>doesn't know how close they are to the neutral radar

0:17:57.280 --> 0:17:59.600
<v Speaker 4>words to that effect exactly.

0:17:59.680 --> 0:18:01.720
<v Speaker 9>And so you know, I think as we keep seeing

0:18:01.760 --> 0:18:05.440
<v Speaker 9>economic data that is in support of you know, many

0:18:05.520 --> 0:18:08.840
<v Speaker 9>consumers that are slowing, but then many who are benefiting

0:18:08.880 --> 0:18:12.040
<v Speaker 9>from the run in the markets also clipping five percent

0:18:12.119 --> 0:18:15.520
<v Speaker 9>coupons on risk free assets, and you kind of need

0:18:15.560 --> 0:18:18.560
<v Speaker 9>to start hearing a tone from our FED that we

0:18:18.680 --> 0:18:22.200
<v Speaker 9>need to start the process of normalization of rates because

0:18:22.200 --> 0:18:27.120
<v Speaker 9>there are certain elements of the inflationary trends around us,

0:18:27.119 --> 0:18:31.200
<v Speaker 9>some of these pockets of stickiness and service, the undersupply

0:18:31.320 --> 0:18:35.800
<v Speaker 9>in housing that simply probably can't be fixed by leaving

0:18:35.960 --> 0:18:38.399
<v Speaker 9>rates as restrictive as they are. And so, you know,

0:18:38.440 --> 0:18:40.320
<v Speaker 9>I think it was a really balanced message from the

0:18:40.320 --> 0:18:43.960
<v Speaker 9>ECB and one that we would love to see, you know,

0:18:44.040 --> 0:18:47.000
<v Speaker 9>the Fed here take more of that stance on. You

0:18:47.040 --> 0:18:52.000
<v Speaker 9>can remain hawkish in your tone, but you can start

0:18:52.040 --> 0:18:56.119
<v Speaker 9>to move towards normalization and do it at a slow

0:18:56.119 --> 0:18:59.760
<v Speaker 9>and steady pace, versus continuing this narrative of going into

0:18:59.760 --> 0:19:03.040
<v Speaker 9>a cutting cycle, which you know, sounds very different.

0:19:03.080 --> 0:19:06.000
<v Speaker 10>It sounds like fixing a new problem.

0:19:06.680 --> 0:19:09.440
<v Speaker 3>So Nicole, talk to us about valuation here.

0:19:09.440 --> 0:19:11.160
<v Speaker 2>I'm looking at kind of s and P earnings growth

0:19:11.280 --> 0:19:14.639
<v Speaker 2>kind of ten eleven maybe twelve percent over the you know,

0:19:14.760 --> 0:19:17.760
<v Speaker 2>next year or so. Is that enough to support this

0:19:17.880 --> 0:19:20.199
<v Speaker 2>valuation in the market or do you feel like you

0:19:20.280 --> 0:19:22.359
<v Speaker 2>need to maybe get a little defensive in valuation.

0:19:25.040 --> 0:19:25.280
<v Speaker 10>There?

0:19:25.320 --> 0:19:30.400
<v Speaker 9>You know, there's there's this convergence of themes, one of

0:19:30.440 --> 0:19:35.080
<v Speaker 9>them being we went in to the year with earning expectation,

0:19:35.680 --> 0:19:42.320
<v Speaker 9>you know, consensus among analysts. Generally, you see analysts start

0:19:42.320 --> 0:19:45.120
<v Speaker 9>to cut those earnings forecasts, which in the first month

0:19:45.200 --> 0:19:47.080
<v Speaker 9>or two we did, and then we've seen a steady

0:19:47.200 --> 0:19:50.400
<v Speaker 9>increase in those earnings expectations and where we think this

0:19:50.440 --> 0:19:53.440
<v Speaker 9>market is going to take us. You know, again, though,

0:19:53.440 --> 0:19:56.560
<v Speaker 9>I go back to the earlier comment, which is we

0:19:56.680 --> 0:20:00.239
<v Speaker 9>need more than just the support of mega technology or

0:20:00.240 --> 0:20:04.359
<v Speaker 9>that next leg or the next wave of this bull market,

0:20:04.520 --> 0:20:06.280
<v Speaker 9>or to have more confidence in it.

0:20:06.880 --> 0:20:08.159
<v Speaker 10>But at the same time.

0:20:08.160 --> 0:20:12.320
<v Speaker 9>It's pretty clear that you need a lot of free

0:20:12.359 --> 0:20:14.800
<v Speaker 9>cash flow, that there's going to be a huge capex

0:20:14.840 --> 0:20:20.439
<v Speaker 9>expenditure over the next many years to build the new infrastructure,

0:20:20.520 --> 0:20:26.000
<v Speaker 9>to build the AI factories, and that the megatech companies

0:20:26.160 --> 0:20:29.119
<v Speaker 9>are the ones who have the cash flow and the

0:20:29.320 --> 0:20:33.320
<v Speaker 9>access to do that. And so you know, aside from

0:20:33.480 --> 0:20:37.520
<v Speaker 9>more government intervention or more fiscal money put at building

0:20:37.600 --> 0:20:41.720
<v Speaker 9>out this infrastructure, we do believe that you're probably going

0:20:41.800 --> 0:20:45.760
<v Speaker 9>to continue to see multiples that are substantiated by both

0:20:45.800 --> 0:20:47.119
<v Speaker 9>the investment.

0:20:46.760 --> 0:20:50.000
<v Speaker 10>Towards future growth the breadth of that growth.

0:20:50.119 --> 0:20:54.080
<v Speaker 9>And then you know, also, though, when do you start

0:20:54.119 --> 0:20:59.720
<v Speaker 9>to see some of those productivity reshoring metrics for further

0:20:59.800 --> 0:21:02.840
<v Speaker 9>se access again down that cap spectrum within the s

0:21:02.880 --> 0:21:05.400
<v Speaker 9>and P five hundred, And then as we think even

0:21:05.440 --> 0:21:08.040
<v Speaker 9>further about the broadening out of the market, it really

0:21:08.080 --> 0:21:12.639
<v Speaker 9>does seem like until the FED starts to enter a

0:21:12.800 --> 0:21:16.240
<v Speaker 9>normalization narrative around interest rates that we're not going to

0:21:16.320 --> 0:21:19.760
<v Speaker 9>get that further support from mid and small cap, which

0:21:19.840 --> 0:21:23.040
<v Speaker 9>again has just been very volatile amongst you know, the

0:21:23.400 --> 0:21:28.320
<v Speaker 9>consumer data, the inflation data, and then again interest rate volatility.

0:21:28.640 --> 0:21:33.280
<v Speaker 4>Do you move beyond the big megacap stocks and maybe

0:21:33.280 --> 0:21:37.280
<v Speaker 4>into the derivatives of artificial intelligence? Do you have to

0:21:37.320 --> 0:21:40.440
<v Speaker 4>be more strategic in that area now?

0:21:40.960 --> 0:21:45.040
<v Speaker 9>Overall, you know, we think it's really important to think

0:21:45.119 --> 0:21:51.040
<v Speaker 9>about artificial intelligence, the build out of the infrastructure as

0:21:51.280 --> 0:21:52.560
<v Speaker 9>being future.

0:21:52.240 --> 0:21:54.639
<v Speaker 10>Table stakes among many companies.

0:21:54.680 --> 0:21:58.480
<v Speaker 9>So if we think, you know, of the Internet, at

0:21:58.480 --> 0:22:02.400
<v Speaker 9>one point it was incredibly interesting and now it's as

0:22:02.400 --> 0:22:04.520
<v Speaker 9>if you would never run a business without it. And

0:22:04.560 --> 0:22:07.360
<v Speaker 9>I know that is a little bit cliche and simplified,

0:22:07.359 --> 0:22:10.760
<v Speaker 9>but I do think you have to look beyond just

0:22:11.760 --> 0:22:17.160
<v Speaker 9>the productivity within each company and think more about end benefactors.

0:22:17.200 --> 0:22:21.200
<v Speaker 9>So right now there's so much onus put on the suppliers.

0:22:21.520 --> 0:22:23.960
<v Speaker 9>We've seen the pressure on software because there's a lot

0:22:24.000 --> 0:22:26.960
<v Speaker 9>of curiosity about you know, is that more of a

0:22:27.040 --> 0:22:31.399
<v Speaker 9>middleman that gets gets stripped out of this equation. But

0:22:31.560 --> 0:22:34.280
<v Speaker 9>you know, we think of and it's a very easy

0:22:34.280 --> 0:22:38.640
<v Speaker 9>example would be you know, John Deere, you know things

0:22:38.720 --> 0:22:45.760
<v Speaker 9>that become end benefactors in terms of access to you know,

0:22:45.920 --> 0:22:51.359
<v Speaker 9>robotic arms and the ability for artificial intelligence instead of

0:22:51.359 --> 0:22:52.960
<v Speaker 9>fertilizing entire fields.

0:22:53.080 --> 0:22:55.199
<v Speaker 4>It's the tractor that doesn't need a farmer.

0:22:56.400 --> 0:22:58.479
<v Speaker 10>It is the tractor that doesn't need a farmer.

0:22:58.560 --> 0:22:58.919
<v Speaker 9>Thank you.

0:22:58.920 --> 0:23:00.440
<v Speaker 10>You got there faster than I could.

0:23:00.480 --> 0:23:03.399
<v Speaker 9>And so you have to think about what are businesses

0:23:03.400 --> 0:23:08.000
<v Speaker 9>that are truly revolutionized and what businesses just become table

0:23:08.200 --> 0:23:12.440
<v Speaker 9>stakes owners of you know AI as part of its

0:23:12.640 --> 0:23:14.000
<v Speaker 9>operating technology.

0:23:14.760 --> 0:23:17.040
<v Speaker 2>Nicole, I'm guessing you probably get some phone calls from

0:23:17.040 --> 0:23:18.800
<v Speaker 2>your clients saying, hey, I can just buy a two

0:23:18.880 --> 0:23:21.240
<v Speaker 2>year treasury and get close to five percent here. That's

0:23:21.240 --> 0:23:23.159
<v Speaker 2>not a bad place to be. What do you tell

0:23:23.200 --> 0:23:24.960
<v Speaker 2>them about fixed income these days?

0:23:25.320 --> 0:23:30.680
<v Speaker 9>Yeah, you know, it is the I never thought that

0:23:31.200 --> 0:23:34.000
<v Speaker 9>I would spend so much of my time for consecutive

0:23:34.080 --> 0:23:35.359
<v Speaker 9>years talking about treasuries.

0:23:35.400 --> 0:23:37.760
<v Speaker 10>It is incredibly interesting.

0:23:37.800 --> 0:23:41.520
<v Speaker 9>And you know, I would say post the Great Financial Crisis,

0:23:41.760 --> 0:23:44.440
<v Speaker 9>we started to really change the way we ran financial

0:23:44.480 --> 0:23:48.000
<v Speaker 9>models because we sat in a zero percent interest rate

0:23:48.080 --> 0:23:51.200
<v Speaker 9>environment for so long, and effectively you had to think

0:23:51.240 --> 0:23:54.840
<v Speaker 9>about how you then modeled total return as a component

0:23:54.920 --> 0:23:59.040
<v Speaker 9>of that. And so now if you were running projections

0:23:59.040 --> 0:24:03.399
<v Speaker 9>at five six percent, maybe seven, but someone can clip

0:24:03.640 --> 0:24:06.840
<v Speaker 9>five point four on the short end, it becomes really

0:24:06.920 --> 0:24:10.359
<v Speaker 9>hard to get them to take equity premium risk over

0:24:10.800 --> 0:24:14.280
<v Speaker 9>that risk free rate. And so it's really a combination

0:24:14.680 --> 0:24:21.600
<v Speaker 9>of thinking about public markets, private markets, and then how

0:24:21.720 --> 0:24:25.480
<v Speaker 9>much duration are you going to build into your portfolio today?

0:24:27.000 --> 0:24:28.359
<v Speaker 9>You know how far out are you going to go?

0:24:28.400 --> 0:24:31.000
<v Speaker 9>Because for many the tax equivalent yield on a tenure

0:24:31.440 --> 0:24:36.240
<v Speaker 9>is still incredibly lucrative, and so that is becoming a

0:24:36.320 --> 0:24:38.560
<v Speaker 9>bigger part of the overall conversation.

0:24:39.119 --> 0:24:40.879
<v Speaker 2>All right, Nicole, thank you so much for joining us.

0:24:40.880 --> 0:24:43.359
<v Speaker 2>As always, Nicole Web She's a senior vice president financial

0:24:43.359 --> 0:24:46.960
<v Speaker 2>advisor at Wealth Enhancement Group. Joining us from New York

0:24:47.520 --> 0:24:48.720
<v Speaker 2>via zoom.

0:24:48.520 --> 0:24:53.520
<v Speaker 1>Here, you're listening to the Bloomberg Intelligence Podcast. Catch us

0:24:53.560 --> 0:24:56.960
<v Speaker 1>live weekdays at ten am Eastern on applecar Play and

0:24:56.960 --> 0:24:59.959
<v Speaker 1>Android Auto with the Bloomberg Business App. You can also

0:25:00.200 --> 0:25:03.480
<v Speaker 1>and live on Amazon Alexa from our flagship New York station,

0:25:03.840 --> 0:25:06.800
<v Speaker 1>Just Say Alexa, playing Bloomberg eleven thirty.

0:25:08.520 --> 0:25:09.320
<v Speaker 3>For the month of June.

0:25:09.440 --> 0:25:12.840
<v Speaker 2>Bloomberg Radio is committed to bringing new segments and guests

0:25:12.840 --> 0:25:16.080
<v Speaker 2>focused on the topic of equality. Today, we're speaking with

0:25:16.160 --> 0:25:19.600
<v Speaker 2>Norman chen CEO of the Asian American Foundation. He joins

0:25:19.680 --> 0:25:22.440
<v Speaker 2>us via zoom from San Francisco. Norman, thanks so much

0:25:22.440 --> 0:25:23.919
<v Speaker 2>for joining us here. I love to just start at

0:25:23.960 --> 0:25:26.960
<v Speaker 2>the really basics here. Tell us what you do at

0:25:26.960 --> 0:25:30.800
<v Speaker 2>the Asian American Foundation, what's the focus and how are

0:25:30.840 --> 0:25:32.640
<v Speaker 2>you guys impacting this environment.

0:25:33.640 --> 0:25:36.520
<v Speaker 11>Well, first, thanks for having me. The Asian American Foundation

0:25:36.680 --> 0:25:39.399
<v Speaker 11>is a three year old organization that was formed at

0:25:39.440 --> 0:25:41.920
<v Speaker 11>the peak of anti Asian hate in twenty twenty one,

0:25:42.400 --> 0:25:45.480
<v Speaker 11>where we work together across the country, across all sectors

0:25:45.600 --> 0:25:48.280
<v Speaker 11>on safety, belonging, and prosperity for our community.

0:25:48.960 --> 0:25:52.480
<v Speaker 4>Does the China rhetoric, which in Washington has been focused

0:25:52.480 --> 0:25:58.080
<v Speaker 4>on technology and trade, does something as subtle as that

0:25:58.119 --> 0:26:01.560
<v Speaker 4>does that conversation need to to change or at least

0:26:01.680 --> 0:26:06.040
<v Speaker 4>acknowledge that it can result in what you see in

0:26:06.119 --> 0:26:13.399
<v Speaker 4>terms of hate speech and hate action against the AAPI community.

0:26:14.880 --> 0:26:17.600
<v Speaker 11>Yeah, language is really important, as we saw during COVID

0:26:17.880 --> 0:26:22.760
<v Speaker 11>rhetoric blaming China for COVID kung flu Wuhan virus severely

0:26:22.760 --> 0:26:25.720
<v Speaker 11>affected our community, leading to thousands and thousands of attacks

0:26:25.720 --> 0:26:29.280
<v Speaker 11>that continue today. While they are legitimate competitive issues with

0:26:29.400 --> 0:26:33.520
<v Speaker 11>China that need to be addressed. Inappropriate or inflammatory language

0:26:33.600 --> 0:26:36.639
<v Speaker 11>does lead to perceptions and misperceptions of our community that

0:26:36.800 --> 0:26:40.040
<v Speaker 11>continues to lead to feelings that Asian Americans are threats

0:26:40.160 --> 0:26:43.879
<v Speaker 11>in this country, that we're more loyal to Asia than

0:26:43.920 --> 0:26:46.560
<v Speaker 11>to the US, and other misunderstandings.

0:26:47.200 --> 0:26:51.040
<v Speaker 2>So, practically speaking, Norman, think you practically speaking Norman, how

0:26:51.080 --> 0:26:54.040
<v Speaker 2>do you guys go about trying to affect change?

0:26:54.080 --> 0:26:54.760
<v Speaker 6>How do you do that?

0:26:56.040 --> 0:26:59.640
<v Speaker 11>Yeah, we have four pillars to achieve safety belonging to prosperity.

0:27:00.119 --> 0:27:02.920
<v Speaker 11>Number one is to address the immediate hate and tax

0:27:02.960 --> 0:27:05.439
<v Speaker 11>against our community. And we work with a network of

0:27:05.480 --> 0:27:08.879
<v Speaker 11>fifty six national partners or partners across the country and

0:27:08.960 --> 0:27:12.480
<v Speaker 11>fourteen cities that provide care to victims and survivors that

0:27:12.520 --> 0:27:16.240
<v Speaker 11>have suffered these terrible attacks. So those partners are on

0:27:16.280 --> 0:27:20.480
<v Speaker 11>the ground. They provide medical, financial, legal support to those

0:27:20.480 --> 0:27:23.359
<v Speaker 11>who have been traumatized by these incidents. But longer term,

0:27:23.400 --> 0:27:26.480
<v Speaker 11>we work in education and narrative change. So we promote

0:27:26.520 --> 0:27:30.120
<v Speaker 11>the teaching of Asian American history in schools around the country,

0:27:30.440 --> 0:27:33.000
<v Speaker 11>and now seven states have mandated the teaching of Asian

0:27:33.000 --> 0:27:36.320
<v Speaker 11>American history because Asian American history is a critical part

0:27:36.480 --> 0:27:39.359
<v Speaker 11>of American history. And then on our Narrative Change piece,

0:27:39.400 --> 0:27:43.040
<v Speaker 11>we're working to tell more authentic stories about Asian Americans

0:27:43.040 --> 0:27:46.359
<v Speaker 11>and less the stereotypical kinds of stories. One survey that

0:27:46.400 --> 0:27:49.040
<v Speaker 11>we did as people around the country, can you name

0:27:49.119 --> 0:27:52.240
<v Speaker 11>a prominent or famous Asian American And for most people

0:27:52.240 --> 0:27:55.400
<v Speaker 11>in the country, they cannot, were largely invisible to them.

0:27:55.640 --> 0:27:57.560
<v Speaker 11>The number one name that has come up over the

0:27:57.600 --> 0:28:01.440
<v Speaker 11>past four years, over twenty thousand Peace book is Jackie Chan,

0:28:02.520 --> 0:28:04.800
<v Speaker 11>who is actually not even Asian American, He's from Hong Kong.

0:28:05.320 --> 0:28:07.080
<v Speaker 11>And then it's Bruce Lee. So you can see the

0:28:07.080 --> 0:28:12.040
<v Speaker 11>impact that movies and TV shows have on the general psyche,

0:28:12.440 --> 0:28:14.760
<v Speaker 11>and so that's really important to address that as well.

0:28:15.960 --> 0:28:18.720
<v Speaker 4>The Alan Mole shooting that was what a little more

0:28:18.760 --> 0:28:22.400
<v Speaker 4>than a year ago at this point, where Young targeted

0:28:22.760 --> 0:28:27.280
<v Speaker 4>Texas location because presumably, at least we're told by authorities

0:28:27.359 --> 0:28:31.879
<v Speaker 4>because of its aa PI population in Texas. Can you

0:28:31.880 --> 0:28:33.240
<v Speaker 4>tell us what the response has been.

0:28:34.640 --> 0:28:36.880
<v Speaker 11>Yeah, we have wonderful partners in Texas that are really

0:28:36.960 --> 0:28:40.080
<v Speaker 11>advocating for the teaching of Asian American history. They're also

0:28:40.120 --> 0:28:43.440
<v Speaker 11>fighting against land laws that prohibit Asian Americans from buying

0:28:43.480 --> 0:28:48.560
<v Speaker 11>property in Texas, so wonderful partners. There's a real activity

0:28:48.720 --> 0:28:51.640
<v Speaker 11>in Texas, and we also work with corporate partners that

0:28:51.640 --> 0:28:54.680
<v Speaker 11>are helping to promote Asian American programs in that state.

0:28:55.160 --> 0:28:57.400
<v Speaker 4>Yeah, you mentioned the property, but I believe there was

0:28:57.440 --> 0:29:01.000
<v Speaker 4>also a bill in Georgia that I think had the

0:29:01.480 --> 0:29:06.680
<v Speaker 4>backing of Governor Brian Kemp that would ban for Asian

0:29:06.720 --> 0:29:10.600
<v Speaker 4>foreign nationals Chinese foreign nationals from owning property in the state.

0:29:10.640 --> 0:29:11.960
<v Speaker 4>Can you give us an update on that.

0:29:13.040 --> 0:29:16.760
<v Speaker 11>Yeah, there's legislation and multiple states around the country. Unfortunately,

0:29:16.880 --> 0:29:19.320
<v Speaker 11>there has been fear mongering, as you pointed to earlier,

0:29:19.680 --> 0:29:24.080
<v Speaker 11>that people who are Chinese nationals shouldn't own property, and

0:29:24.120 --> 0:29:27.720
<v Speaker 11>they're trying to focus it around certain military or sensitive institutions.

0:29:28.320 --> 0:29:30.840
<v Speaker 11>While there are legitimate national security issues that need to

0:29:30.840 --> 0:29:35.440
<v Speaker 11>be addressed, this perception that Asian buyers Chinese buyers are

0:29:35.560 --> 0:29:39.480
<v Speaker 11>potentially a threat really affects the market, so that realtors

0:29:39.480 --> 0:29:42.280
<v Speaker 11>in these markets now are afraid or hesitant to bring

0:29:42.320 --> 0:29:46.040
<v Speaker 11>on Asian buyers, and so that really has a ripple

0:29:46.080 --> 0:29:49.680
<v Speaker 11>effect to the broader community. The sense that somehow Asians

0:29:49.720 --> 0:29:52.320
<v Speaker 11>are not loyal to America, that will provide and provide

0:29:52.400 --> 0:29:54.240
<v Speaker 11>risks to America, and we're really trying to fight that.

0:29:54.400 --> 0:29:57.320
<v Speaker 4>Yeah, you sound like we can go back to World

0:29:57.360 --> 0:30:03.200
<v Speaker 4>War two and Hawaii interment of Asian Americans exactly.

0:30:03.280 --> 0:30:06.120
<v Speaker 11>Yes, one hundred and twenty thousand Japanese Americans, seventy percent

0:30:06.160 --> 0:30:09.520
<v Speaker 11>who are citizens, were incarcerated for three years because people

0:30:09.520 --> 0:30:11.040
<v Speaker 11>thought that they were going to be disloyal, and it

0:30:11.040 --> 0:30:13.920
<v Speaker 11>turns out there was no proof at all during that

0:30:14.000 --> 0:30:16.959
<v Speaker 11>time that any of those people or any national security

0:30:17.040 --> 0:30:17.680
<v Speaker 11>risk of the country.

0:30:17.720 --> 0:30:21.200
<v Speaker 4>It's an unfortunate a long history of the United States.

0:30:21.720 --> 0:30:24.440
<v Speaker 2>Norman talk to us about is there a role for

0:30:24.920 --> 0:30:29.160
<v Speaker 2>you know, corporations, businesses and their leaders to kind of

0:30:29.200 --> 0:30:29.920
<v Speaker 2>get involved here.

0:30:29.960 --> 0:30:30.600
<v Speaker 3>What are we seeing?

0:30:31.000 --> 0:30:35.080
<v Speaker 11>Yeah, well, thanks for the question. So one very interesting

0:30:35.160 --> 0:30:37.920
<v Speaker 11>fact about TAP is that we were formed by prominent

0:30:38.000 --> 0:30:41.320
<v Speaker 11>Asian American business people such as Joe Tai, owner of

0:30:41.320 --> 0:30:46.480
<v Speaker 11>the Brooklyn Nets, Joe Bay co CEO of KKR, Jerry Yang,

0:30:46.560 --> 0:30:49.160
<v Speaker 11>co founder of Yahoo. So we have very much a

0:30:49.240 --> 0:30:53.040
<v Speaker 11>DNA with business background. And so one of the real

0:30:53.080 --> 0:30:56.200
<v Speaker 11>strengths of TAFF is that we are working across all sectors,

0:30:56.480 --> 0:30:59.440
<v Speaker 11>so not just nonprofit or philanthropy, but also across the

0:30:59.480 --> 0:31:04.600
<v Speaker 11>corporate sector, across government sector, and also with media and entertainment,

0:31:04.800 --> 0:31:07.600
<v Speaker 11>and in our gatherings around the country. We have such

0:31:07.640 --> 0:31:09.880
<v Speaker 11>a mix of people with who all want to support

0:31:09.880 --> 0:31:12.680
<v Speaker 11>our community but come at it from different backgrounds. So

0:31:12.720 --> 0:31:15.200
<v Speaker 11>our fourth pillar, which I didn't mention, is called representation

0:31:15.280 --> 0:31:17.320
<v Speaker 11>and resources, and a lot of that is focused on

0:31:17.360 --> 0:31:18.400
<v Speaker 11>our corporate partners.

0:31:18.600 --> 0:31:19.360
<v Speaker 3>So what does that mean.

0:31:19.760 --> 0:31:23.600
<v Speaker 11>We know from our Status Index research that feelings that

0:31:23.720 --> 0:31:25.680
<v Speaker 11>Asian Americans are the least likely to feel like we

0:31:25.720 --> 0:31:28.440
<v Speaker 11>truly belong in this country, and in fact, only eighteen

0:31:28.480 --> 0:31:32.080
<v Speaker 11>percent believe we truly belong and are accepted. Major reasons

0:31:32.080 --> 0:31:35.360
<v Speaker 11>for that are discrimination, racism. Clearly someone spits at you

0:31:35.440 --> 0:31:37.960
<v Speaker 11>or insult you, you don't feel very good, but also because

0:31:37.960 --> 0:31:40.360
<v Speaker 11>we don't see enough of our people in senior positions.

0:31:40.920 --> 0:31:44.200
<v Speaker 11>Asian Americans make up fifteen to thirty percent of workforces,

0:31:44.200 --> 0:31:47.280
<v Speaker 11>but only three percent of the c suite. Despite the

0:31:47.360 --> 0:31:50.480
<v Speaker 11>model minority myth which makes people believe that, oh, Asian

0:31:50.480 --> 0:31:55.120
<v Speaker 11>Americans are highly successful in business, it's not proportional across

0:31:55.160 --> 0:31:58.760
<v Speaker 11>the organization. So we're working with our corporate partners to

0:31:58.760 --> 0:32:02.520
<v Speaker 11>not only add and increase the presence of Asian Americans

0:32:02.560 --> 0:32:06.120
<v Speaker 11>on boards right at the c suite level, even among ergs,

0:32:06.200 --> 0:32:09.040
<v Speaker 11>but also working with our corporates to funnel more resources

0:32:09.280 --> 0:32:11.880
<v Speaker 11>to our community to make these changes.

0:32:12.080 --> 0:32:14.240
<v Speaker 2>Norman, thanks so much for joining us. Really appreciate getting

0:32:14.240 --> 0:32:16.640
<v Speaker 2>some of your time. Norman Chen, he's the CEO of

0:32:16.680 --> 0:32:18.240
<v Speaker 2>the Asian American Foundation.

0:32:18.920 --> 0:32:21.760
<v Speaker 3>Joining us via zoom from San Francisco.

0:32:24.320 --> 0:32:28.200
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:32:28.280 --> 0:32:31.800
<v Speaker 1>weekdays at ten am Eastern on applecard Play and Android

0:32:31.840 --> 0:32:34.600
<v Speaker 1>Auto with the Bloomberg Business app. You can also listen

0:32:34.720 --> 0:32:37.840
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:32:38.200 --> 0:32:40.880
<v Speaker 1>Just say Alexa Play Bloomberg eleven.

0:32:40.680 --> 0:32:44.520
<v Speaker 2>Thirty John Tucker, He's sitting in for Alex Steel today

0:32:44.520 --> 0:32:45.200
<v Speaker 2>on Paul Sweeney.

0:32:45.200 --> 0:32:47.360
<v Speaker 3>We're live here on Bloomberg Interactive Brokers Studio.

0:32:47.400 --> 0:32:49.560
<v Speaker 2>We're also streaming on YouTube, so you can head over

0:32:49.600 --> 0:32:51.600
<v Speaker 2>to YouTube dot com and search Bloomberg Podcast.

0:32:52.240 --> 0:32:52.880
<v Speaker 3>John. I don't know.

0:32:52.960 --> 0:32:54.600
<v Speaker 2>I'm at the point of my life here. All the

0:32:54.680 --> 0:32:56.800
<v Speaker 2>kids are out of the house. I'm eating out more

0:32:57.000 --> 0:32:58.760
<v Speaker 2>in restaurants than they ever have, and maybe.

0:32:58.600 --> 0:33:00.800
<v Speaker 3>It's also a post COVID type of thing.

0:33:01.640 --> 0:33:04.040
<v Speaker 2>I don't know, restaurants I think are packed. I mean,

0:33:04.080 --> 0:33:06.040
<v Speaker 2>I think the restaurant business is doing pretty good. I

0:33:06.040 --> 0:33:07.560
<v Speaker 2>know there's different levels of well.

0:33:07.520 --> 0:33:11.280
<v Speaker 4>The restaurants you're going to are different than the restaurants

0:33:11.320 --> 0:33:13.600
<v Speaker 4>like somebody like me and Charlie Pellett go to.

0:33:13.800 --> 0:33:16.400
<v Speaker 2>You think I'll go into the squad tavern tonight, Pete's

0:33:16.400 --> 0:33:16.920
<v Speaker 2>and Beer Knight.

0:33:16.960 --> 0:33:17.880
<v Speaker 3>That's what I'm doing tonight.

0:33:17.880 --> 0:33:22.239
<v Speaker 2>But anyway, Barry Ridholts, he's got a piece out on

0:33:22.280 --> 0:33:23.920
<v Speaker 2>this whole restaurant thing. What does it mean as an

0:33:23.960 --> 0:33:26.040
<v Speaker 2>economic indicator? So someone in the touch base with Barry

0:33:26.080 --> 0:33:27.840
<v Speaker 2>and see what he's doing there. Barry Ridholts hosts of

0:33:27.880 --> 0:33:32.440
<v Speaker 2>Masters in Business on Bloomberg Radio. Fantastic podcast folks, if

0:33:32.440 --> 0:33:34.920
<v Speaker 2>you want a business podcast markets all that kind of stuff.

0:33:34.920 --> 0:33:38.080
<v Speaker 2>He gets the greatest guest. It's called a Master's in Business.

0:33:38.080 --> 0:33:39.640
<v Speaker 2>He's also got a day job. He's a founder of

0:33:39.680 --> 0:33:43.560
<v Speaker 2>Ridholts Wealth Management. He joins his via zoom. Barry, I

0:33:43.600 --> 0:33:45.400
<v Speaker 2>know you've been known to go to a restaurant or

0:33:45.480 --> 0:33:49.080
<v Speaker 2>to maybe not the kind that John Tucker goes to.

0:33:49.240 --> 0:33:52.680
<v Speaker 2>But how do you look at the restaurant business as

0:33:52.720 --> 0:33:54.600
<v Speaker 2>just an indicator of the economy?

0:33:55.320 --> 0:33:58.600
<v Speaker 12>These issues whenever you hear me complaining about some terrible

0:33:58.760 --> 0:34:02.480
<v Speaker 12>bit of economic and nowais or discussion. It's because some

0:34:02.600 --> 0:34:06.000
<v Speaker 12>clients said, Hey, I know you've been constructive on stocks

0:34:06.000 --> 0:34:08.760
<v Speaker 12>for the past two years, but look at this video

0:34:08.880 --> 0:34:12.000
<v Speaker 12>a friend just sent me. The restaurant industry is collapsing.

0:34:12.600 --> 0:34:15.359
<v Speaker 12>We have to get out of stocks. And you know,

0:34:15.560 --> 0:34:17.840
<v Speaker 12>I go look at the video, and not only is

0:34:17.880 --> 0:34:23.240
<v Speaker 12>it mostly incorrect, it violates every rule of statistical analysis.

0:34:23.840 --> 0:34:27.920
<v Speaker 12>It's filled with band information and denominator blindness, and so

0:34:28.680 --> 0:34:31.959
<v Speaker 12>it sends me down the rabbit hole of hey, what's

0:34:32.000 --> 0:34:34.640
<v Speaker 12>really happening in the world to restaurants. And as it

0:34:34.760 --> 0:34:40.080
<v Speaker 12>turns out, the restaurant industry is on target. In twenty

0:34:40.120 --> 0:34:44.280
<v Speaker 12>twenty four, it will be the US restaurant industry's biggest

0:34:44.400 --> 0:34:48.960
<v Speaker 12>year ever in sales one point one trillion dollars by

0:34:48.960 --> 0:34:52.200
<v Speaker 12>the end of December, and that's based on the first

0:34:52.239 --> 0:34:55.960
<v Speaker 12>half a year of actual sales and then estimates from

0:34:56.000 --> 0:34:59.520
<v Speaker 12>the Restaurant Association National Restaurant Association for the rest of

0:34:59.560 --> 0:35:03.000
<v Speaker 12>the year. Now, again, I'm a little skeptical when people

0:35:03.080 --> 0:35:07.520
<v Speaker 12>are forecasting a five point four percent increase in revenue,

0:35:07.920 --> 0:35:12.399
<v Speaker 12>maybe inflation adjusted. Some of that's right, but when they

0:35:12.480 --> 0:35:15.879
<v Speaker 12>survey restaurant operators, about a third of them said they're

0:35:15.920 --> 0:35:19.880
<v Speaker 12>expecting to see higher real sales for the full year,

0:35:20.400 --> 0:35:22.680
<v Speaker 12>and two thirds of them have said the restaurants in

0:35:22.719 --> 0:35:27.279
<v Speaker 12>their area have rebounded from the pandemic fully. So, you know,

0:35:27.400 --> 0:35:29.920
<v Speaker 12>it's taken a while for this sector the.

0:35:29.920 --> 0:35:32.040
<v Speaker 4>Economy to recover.

0:35:32.680 --> 0:35:36.000
<v Speaker 12>But man, you try and make reservations at a decent restaurant,

0:35:36.360 --> 0:35:38.960
<v Speaker 12>you'd better be looking out two or three weeks or

0:35:39.280 --> 0:35:40.120
<v Speaker 12>you're not going to get in.

0:35:40.280 --> 0:35:42.839
<v Speaker 4>It also depends on where you're located. Barry, I think

0:35:42.880 --> 0:35:45.759
<v Speaker 4>you did an interview with Bobby Flay some years ago

0:35:46.040 --> 0:35:49.560
<v Speaker 4>who was saying it's almost impossible for a restaurant owner

0:35:50.160 --> 0:35:52.520
<v Speaker 4>an individual to turn a profit in a place like

0:35:52.600 --> 0:35:54.800
<v Speaker 4>Manhattan because the rents are so high.

0:35:55.760 --> 0:35:59.360
<v Speaker 12>Right, Well, first of all, it's a very difficult business

0:35:59.400 --> 0:36:04.120
<v Speaker 12>no matter where you are. It's razor thin profits. The

0:36:04.160 --> 0:36:09.000
<v Speaker 12>Restaurant Industry Association says that two thirds of restaurants will

0:36:09.000 --> 0:36:13.160
<v Speaker 12>fail in the first five years. It is tough. You know,

0:36:13.840 --> 0:36:18.839
<v Speaker 12>a great restaurant is a really good business, but restaurants

0:36:18.840 --> 0:36:24.080
<v Speaker 12>and as an industry, are incredibly competitive, incredibly difficult. Now,

0:36:24.320 --> 0:36:28.000
<v Speaker 12>the interesting thing about the discussion with Bobby Flay, where

0:36:28.040 --> 0:36:30.040
<v Speaker 12>I'm a giant fan of my wife and I have

0:36:30.120 --> 0:36:30.759
<v Speaker 12>his cookbooks.

0:36:30.760 --> 0:36:31.160
<v Speaker 4>We've missed.

0:36:32.800 --> 0:36:35.480
<v Speaker 12>Back when Miracle Grill was his first restaurant and I

0:36:35.520 --> 0:36:39.000
<v Speaker 12>was living on twenty seventh Street, we would go over there,

0:36:39.320 --> 0:36:41.399
<v Speaker 12>and that was before Mesa and some of his other

0:36:41.440 --> 0:36:48.160
<v Speaker 12>bigger restaurants. But given what's been taking place with work

0:36:48.200 --> 0:36:53.200
<v Speaker 12>from home and how empty office spaces are, the proposal

0:36:53.239 --> 0:36:55.960
<v Speaker 12>I've made is, hey, if you're an office building owner

0:36:56.360 --> 0:37:00.600
<v Speaker 12>and you want to get more office space rented, well,

0:37:00.600 --> 0:37:03.000
<v Speaker 12>then you better cut a deal with your ground floor

0:37:03.040 --> 0:37:07.040
<v Speaker 12>tenants to make sure it's filled. Because nothing reduces the

0:37:07.160 --> 0:37:10.839
<v Speaker 12>value of an office floor than coming in and seeing

0:37:10.880 --> 0:37:14.279
<v Speaker 12>a boarded up restaurant or a a null retailer on

0:37:14.400 --> 0:37:18.400
<v Speaker 12>the ground floor. I think retail as a service, restaurants

0:37:18.440 --> 0:37:21.880
<v Speaker 12>as a service is something that the major urban areas

0:37:21.920 --> 0:37:25.799
<v Speaker 12>need to consider because their bread is buttered ll upon

0:37:25.880 --> 0:37:30.920
<v Speaker 12>intended with the twenty year office leases that they're gonna

0:37:31.320 --> 0:37:36.120
<v Speaker 12>you know, sell tens of thousands of dollars worth over

0:37:36.160 --> 0:37:38.320
<v Speaker 12>the next twenty years, tens of thousands of square foot.

0:37:38.760 --> 0:37:41.279
<v Speaker 12>A restaurant that's down on the corner, a deli, a

0:37:41.320 --> 0:37:44.799
<v Speaker 12>half decent restaurant, even a high end restaurant. They need

0:37:44.840 --> 0:37:47.080
<v Speaker 12>to be a whole lot more flexible than they've been.

0:37:47.360 --> 0:37:49.880
<v Speaker 12>And they really have to think about this in a

0:37:49.960 --> 0:37:50.759
<v Speaker 12>very different way.

0:37:51.080 --> 0:37:51.239
<v Speaker 3>You know.

0:37:51.280 --> 0:37:53.440
<v Speaker 2>I saw a article on the Bloomberg yeshay, I've been

0:37:53.719 --> 0:37:55.960
<v Speaker 2>waiting waiting to read and it finally came out.

0:37:56.040 --> 0:37:58.760
<v Speaker 3>I say about San Francisco and how.

0:37:58.600 --> 0:38:02.040
<v Speaker 2>There are signs at San Francisco is bottoming and turning

0:38:02.440 --> 0:38:07.200
<v Speaker 2>for the first year. Last year they actually added people

0:38:07.239 --> 0:38:10.960
<v Speaker 2>in San Francisco, eight hundred and forty additional.

0:38:10.480 --> 0:38:13.880
<v Speaker 3>People on the on you know, it was positive. They

0:38:13.960 --> 0:38:15.840
<v Speaker 3>got to start somewhere. I mean, Barry, what do you

0:38:15.840 --> 0:38:16.600
<v Speaker 3>think about a market?

0:38:16.600 --> 0:38:18.440
<v Speaker 2>I know, you spend a lot of time in San Francisco,

0:38:18.480 --> 0:38:21.880
<v Speaker 2>a lot of you know, there's a lot of ingenuity there,

0:38:21.880 --> 0:38:23.759
<v Speaker 2>a lot of money there. How do you think about

0:38:23.760 --> 0:38:27.000
<v Speaker 2>a city like San Francisco, which, in my opinion, before

0:38:27.040 --> 0:38:30.680
<v Speaker 2>the pandemic was a jewel of this country in terms

0:38:30.760 --> 0:38:31.919
<v Speaker 2>of you gotta go there.

0:38:32.600 --> 0:38:34.360
<v Speaker 12>How do you think one of the most beautiful cities

0:38:34.360 --> 0:38:38.080
<v Speaker 12>in the country, No doubt, you know there there are

0:38:38.200 --> 0:38:41.840
<v Speaker 12>everybody wants that one answer, like a binary yes or no.

0:38:41.920 --> 0:38:46.360
<v Speaker 12>And here's a solution. We have a lot of problems

0:38:46.400 --> 0:38:48.919
<v Speaker 12>that are multi factor. There are a lot of things

0:38:49.000 --> 0:38:51.560
<v Speaker 12>driving it. When you look at when you look at

0:38:51.600 --> 0:38:55.319
<v Speaker 12>a city like New York or San Francisco, nimby is

0:38:55.360 --> 0:38:59.880
<v Speaker 12>a giant problem. The all the rules that prevent a

0:39:00.000 --> 0:39:05.560
<v Speaker 12>additional building and construction that that's an ongoing issue.

0:39:05.760 --> 0:39:06.600
<v Speaker 3>Like there isn't a.

0:39:06.520 --> 0:39:09.600
<v Speaker 12>Whole lot of things that can't be solved when prices

0:39:09.640 --> 0:39:12.040
<v Speaker 12>are too high. You know, the old joke is the

0:39:12.120 --> 0:39:14.799
<v Speaker 12>cure for high prices is high prices. You either have

0:39:14.880 --> 0:39:18.760
<v Speaker 12>to lower your prices or bring on more supply. We're

0:39:18.800 --> 0:39:23.480
<v Speaker 12>starting to see that in suburbia. It hasn't quite happened

0:39:23.560 --> 0:39:27.440
<v Speaker 12>in New York City or San Francisco, at least not rapidly.

0:39:28.040 --> 0:39:32.160
<v Speaker 12>And I have vivid recollections of watching the entire Lower

0:39:32.200 --> 0:39:39.160
<v Speaker 12>Manhattan region following September eleventh completely pivot from uptown downtown

0:39:39.600 --> 0:39:43.080
<v Speaker 12>to much more of a residential area. And I think

0:39:43.200 --> 0:39:45.680
<v Speaker 12>that has to happen in more cities. Yes, I know

0:39:45.719 --> 0:39:49.680
<v Speaker 12>a lot of these buildings don't lend themselves to fast

0:39:49.719 --> 0:39:52.920
<v Speaker 12>and easy conversions. Let a few half a billion or

0:39:52.960 --> 0:39:56.640
<v Speaker 12>billion dollar buildings go into receivership. You'll see how fast

0:39:56.640 --> 0:40:00.719
<v Speaker 12>and easy. They get converted. They'll get converted to residential.

0:40:00.800 --> 0:40:04.000
<v Speaker 12>And I think we have to recognize that what the

0:40:04.000 --> 0:40:07.719
<v Speaker 12>pandemic taught us, which is we are no longer in

0:40:07.840 --> 0:40:11.960
<v Speaker 12>a you know, nine to five Monday to Friday, nineteen

0:40:12.080 --> 0:40:17.560
<v Speaker 12>fifties mad men era of office work. That ship has sailed.

0:40:18.000 --> 0:40:21.160
<v Speaker 12>There are some firms that insist on five days a week.

0:40:21.640 --> 0:40:24.680
<v Speaker 12>For us, we give employees a whole lot more flexibility.

0:40:24.719 --> 0:40:28.239
<v Speaker 12>We think that's a great recruiting and retention advantage over

0:40:28.280 --> 0:40:33.279
<v Speaker 12>some larger firms. But it's pretty obvious the hybrid methodology

0:40:33.520 --> 0:40:36.759
<v Speaker 12>is here to stay, and that means we have too

0:40:36.840 --> 0:40:41.240
<v Speaker 12>much office space and too little residential in these urban centers.

0:40:41.400 --> 0:40:44.000
<v Speaker 2>Yep, all right, great stuff has always Barry, appreciate your perspective.

0:40:44.000 --> 0:40:46.320
<v Speaker 2>Barry Redholts, host Semester's in Business on Bloomberg Radio and

0:40:46.320 --> 0:40:48.360
<v Speaker 2>also founder of Ritholtz Wealth Management.

0:40:48.480 --> 0:40:53.000
<v Speaker 1>This is the Bloomberg Intelligence Podcast, available on apples, Spotify,

0:40:53.200 --> 0:40:56.120
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0:40:56.200 --> 0:40:59.800
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0:41:00.120 --> 0:41:03.520
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