WEBVTT - Day One at the US Open

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio

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<v Speaker 1>Boom Bank.

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<v Speaker 2>A lot of wide oppoot spaces that are filled with

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<v Speaker 2>a lot of people. As I look around us, we're

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<v Speaker 2>so delighted to be back here at the US Open

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<v Speaker 2>and delighted to have back with us. Kirsten Corio, she

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<v Speaker 2>is chief Commercial Officer of USTA, and we were talking.

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<v Speaker 2>You've actually been with the organization now for.

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<v Speaker 3>For seven years. This is actually my eighth US Open.

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<v Speaker 4>And yes we do count the twenty twenty pandemic US

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<v Speaker 4>Open because it did occur.

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<v Speaker 2>We did work, but we just weren't here well. And

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<v Speaker 2>I will say last year felt like all right, everybody

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<v Speaker 2>was back in a big way. You guys are having

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<v Speaker 2>some record numbers to get this year.

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<v Speaker 4>We are, We thought after twenty twenty two, the most

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<v Speaker 4>spectacular US Open ever, Serena evolving away from tennis and

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<v Speaker 4>the mania around Gosh, we got to see her one

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<v Speaker 4>last time. How do we top that in twenty twenty three,

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<v Speaker 4>and then here we are. You mentioned it, Tim, no

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<v Speaker 4>Big Three, no Serena. You know, we've wondered us that

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<v Speaker 4>are in the business, those of us that are fans,

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<v Speaker 4>what will happen when they're no longer with us? And

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<v Speaker 4>the truth is we've been just astonished at the demand

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<v Speaker 4>we've experienced.

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<v Speaker 5>Well, so, why do you think that is?

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<v Speaker 4>You know, I think the new stars began to break

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<v Speaker 4>through a bit more last year, the Electric Carlos Alcarez,

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<v Speaker 4>Cocoke Goff, There's so many others, and I think people

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<v Speaker 4>have just rediscovered tennis is amazing. There are new stars

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<v Speaker 4>all the time. And also the US Open is just

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<v Speaker 4>a fantastic experience and there's so much more to do

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<v Speaker 4>than just watch tennis. The tennis, of course is the anchor,

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<v Speaker 4>but it's also just a great event for food and beverage,

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<v Speaker 4>for experience, for being out in a beautiful day.

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<v Speaker 5>Carol mentioned record crowds here earlier this week yesterday top

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<v Speaker 5>seventy three thousand people for the first time. What's capacity here?

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<v Speaker 5>How much bigger could you get if you wanted to

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<v Speaker 5>get bigger?

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<v Speaker 3>I honestly think this is it.

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<v Speaker 4>We're kind of at the cap right we want everyone

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<v Speaker 4>to ensure that they have a great experience, that they

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<v Speaker 4>can get around and get to the different courts, and

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<v Speaker 4>I'm not sure we can expand.

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<v Speaker 5>More than Actually I kind of agree with you, just

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<v Speaker 5>based on my I was here Tuesday night and it

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<v Speaker 5>was super crowded that night too, And you get to

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<v Speaker 5>the point where you know you want to get in

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<v Speaker 5>Court seventeen and you can't actually get in Court seventeen

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<v Speaker 5>because it's full, but there are so many other places

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<v Speaker 5>to go. So I guess I do wonder is like

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<v Speaker 5>how you balance the experience of making sure that people

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<v Speaker 5>get there with money's worth, without maximizing, you know, without

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<v Speaker 5>putting at risk sort of being comfortable here.

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<v Speaker 3>Yeah, and so I think that's it.

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<v Speaker 4>I think we'd love to be able to welcome everyone

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<v Speaker 4>that wanted to come, but at the same time, we've

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<v Speaker 4>got to protect the experience. And that's where the fan

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<v Speaker 4>Week experience becomes really important too.

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<v Speaker 2>How do you you know? I was curious actually thinking

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<v Speaker 2>about early metrics and did you guys quickly get an

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<v Speaker 2>idea what the event was going to be, like, what

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<v Speaker 2>was early demand? Like?

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<v Speaker 4>The earliest one we saw is when we went out

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<v Speaker 4>with the full series subscriber renewal. That's kind of your

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<v Speaker 4>season ticket holder, right if you're a team, And we

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<v Speaker 4>renewed it better than ninety five percent, and at that moment,

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<v Speaker 4>that was in late January, we said wow.

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<v Speaker 2>So literally almost right after.

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<v Speaker 4>Yeah, and at that point in time, you know, you

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<v Speaker 4>don't know who's playing. You know, you know that certain

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<v Speaker 4>players have retired and we'll not be back, but that

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<v Speaker 4>was really just the first indicator of Wow, this is

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<v Speaker 4>going to be big again.

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<v Speaker 2>Kirsten talked to us too about the people who come

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<v Speaker 2>and remind us of how diverse it is, and people

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<v Speaker 2>coming from all over the world.

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<v Speaker 4>Yeah, and the international travel, you know, we've seen it

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<v Speaker 4>in New York is just seems to be really back.

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<v Speaker 4>In a typical pre pandemic year, we'd be anywhere from

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<v Speaker 4>twenty to twenty five percent international attendees at the US Open,

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<v Speaker 4>and we're back to that number. We're back to around

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<v Speaker 4>twenty percent, maybe more. But it's just so so great

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<v Speaker 4>to see.

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<v Speaker 5>So that's something that you actually can't even describe. You

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<v Speaker 5>kind of have to be there to feel it, like

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<v Speaker 5>you're you're on one of these courts and you're seeing

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<v Speaker 5>two players play from not the US, they don't speak

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<v Speaker 5>English as their first language is. And what you have

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<v Speaker 5>as fans who are from those countries or perhaps even

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<v Speaker 5>from New York City, and they're cheering them on and

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<v Speaker 5>in their native languages, and it's like like, this is

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<v Speaker 5>New York. This is New York at its past.

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<v Speaker 6>It is.

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<v Speaker 4>Yeah, you really feel it, and I'm glad you experienced

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<v Speaker 4>that on the outside.

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<v Speaker 5>That's pretty cool.

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<v Speaker 2>Yeah, all right, So talk to us about sponsors, right,

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<v Speaker 2>you have to think about who you're sponsoring. And I

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<v Speaker 2>feel like you have people that are companies and entities

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<v Speaker 2>that have been with you from year to year, but

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<v Speaker 2>how you continue to evolve that or grow that.

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<v Speaker 3>So we have twenty four sponsors.

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<v Speaker 4>We have few long term, very loyal, very deep partnerships

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<v Speaker 4>with these sponsors. Over half of them have been with us,

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<v Speaker 4>actually seven have been with us for more than thirty years,

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<v Speaker 4>very long term partnerships. It's really been extraordinary for us

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<v Speaker 4>to experience. And these partners are are long term. We

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<v Speaker 4>were new at long term, and we want to sure

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<v Speaker 4>that they can meet their objectives here, that they can

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<v Speaker 4>activate their brands and waves that are fantastic, and I

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<v Speaker 4>really hope that you can experience it when you get

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<v Speaker 4>out there watching tennis.

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<v Speaker 3>Stop in some of the sponsor booths as well.

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<v Speaker 6>I bought a.

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<v Speaker 2>Shirt like a Ralph lahmert like I do think about.

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<v Speaker 2>It's not just about somebody slapping a logo.

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<v Speaker 3>No, it's a really deep activation.

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<v Speaker 4>They're really out here interacting with the fans and enhancing

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<v Speaker 4>the experience for the fans in really diverse ways.

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<v Speaker 5>What did you hear from your sponsorship staff this year

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<v Speaker 5>in terms of the ease of getting these renewals, of

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<v Speaker 5>going and getting new sponsors. There are some new partners

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<v Speaker 5>here this year. We like to talk to people like

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<v Speaker 5>you because you have a good read on the entire economy.

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<v Speaker 5>You get those updates each quarter from your staff, But

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<v Speaker 5>what did they tell you throughout the year as they

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<v Speaker 5>were trying to secure these partnerships.

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<v Speaker 4>So in all of our partnerships, I'll say the intent

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<v Speaker 4>to renew is incredibly strong. It's just a question of

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<v Speaker 4>what are your objectives and how do you see them

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<v Speaker 4>evolving over the next term, and how can we help

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<v Speaker 4>you meet those objectives. So that hasn't really been a

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<v Speaker 4>question for new partners. We've seen more demand than we

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<v Speaker 4>can satisfy. We do reach a point where we sell

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<v Speaker 4>out of partnership positions, and we've reached that, and so

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<v Speaker 4>we've got more inbound demand than we can satisfy on

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<v Speaker 4>the partnership front. And that's really an indicator of how

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<v Speaker 4>valuable the audience is to them.

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<v Speaker 2>Do you ever, though you said twenty four, right, is

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<v Speaker 2>there ever, Okay, let's make it twenty six or is

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<v Speaker 2>there do you think about let's not make it where

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<v Speaker 2>we're slapping things, you know what I mean?

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<v Speaker 3>Yes, it's very deliberate.

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<v Speaker 2>Yeah, And so so you do have like kind of

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<v Speaker 2>a top point that you just say that's in that

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<v Speaker 2>we do.

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<v Speaker 4>We want to protect the exposure for the few partners

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<v Speaker 4>that we have at the level that they have and

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<v Speaker 4>ensure that they get the exposure that that they've come

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<v Speaker 4>to expect.

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<v Speaker 2>One thing I want to ask you, because we're going

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<v Speaker 2>to talk a lot. We have a book about Althia Gibson.

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<v Speaker 2>We're going to talk a lot more about equality, university

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<v Speaker 2>and thinking about Billy j and King. At the beginning

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<v Speaker 2>of the week, former First Lady Michelle Obama, how in

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<v Speaker 2>terms of what you do the importance of diversity and

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<v Speaker 2>inclusion and thinking about that in our world and then

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<v Speaker 2>when you think.

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<v Speaker 4>About sponsors, Wow, it's all incredibly important. So okay, so

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<v Speaker 4>you know, we're celebrating fifty years of equal prize.

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<v Speaker 3>Fifty years.

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<v Speaker 4>It's incredible, you know, when we're still seeing that fight

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<v Speaker 4>for equal pay on many different stages and arenas, and

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<v Speaker 4>especially in women's sports. So we're incredibly proud of that.

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<v Speaker 4>But we also like to and our sponsors love this

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<v Speaker 4>that men and women's stay. They play on the same stage,

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<v Speaker 4>they play on the same stage. The best men in

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<v Speaker 4>the world, the best women in the world. They're watched

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<v Speaker 4>by men and women equally. They're watched in person. You know,

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<v Speaker 4>women buy tickets, men buy tickets, they both watch together.

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<v Speaker 4>We're one of the most gender neutral audiences that you

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<v Speaker 4>could find in any sporting event, and so we're really

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<v Speaker 4>proud of that, and our partners love that too, of course,

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<v Speaker 4>they love reaching a very gender neutral and very female

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<v Speaker 4>heavy when you think about sports audience that we offer.

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<v Speaker 5>So, Kirsten, how do you take the momentum from this event,

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<v Speaker 5>again a record setting event, and use that to parlay interest.

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<v Speaker 5>It's the next four or five year olds, the people

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<v Speaker 5>who are going to be the next Francis Tiafo's the

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<v Speaker 5>people are going to be the next Coco Govs.

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<v Speaker 3>So that's why we play, right, That's why we're here.

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<v Speaker 4>This event is here to inspire people to play tennis

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<v Speaker 4>in the United States.

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<v Speaker 5>You make sure they get to experience it though, that

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<v Speaker 5>everybody gets to experience it.

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<v Speaker 4>So the qualifying tournament, which has played the week before

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<v Speaker 4>the main draw, has been repurposed into Fan Week. Okay,

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<v Speaker 4>so the qualifying tournament is the anchor of that Fan Week.

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<v Speaker 4>We are free and open to the public that entire week,

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<v Speaker 4>and all of the main draw players are here practicing

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<v Speaker 4>on courts that are free and open to the public

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<v Speaker 4>to come and sit up close and personal and watch them.

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<v Speaker 4>And so we had a record audience that week. Over

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<v Speaker 4>one hundred and fifty five thousand people came through the

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<v Speaker 4>gates that week. And really we're able to experience some

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<v Speaker 4>of the top pros in the world up close and personal,

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<v Speaker 4>but also watch some incredibly competitive tennis in the qualifying side,

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<v Speaker 4>and all fan activations with our partners, and opportunities for

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<v Speaker 4>kids to get on courts and really hold a racket.

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<v Speaker 4>Wilson distributed tens of thousands of free rackets. That's great

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<v Speaker 4>free rackets to those that had registered for the free

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<v Speaker 4>fan access pass, and so we're literally getting rackets into

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<v Speaker 4>kids hands during that first fan week and it's just

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<v Speaker 4>so gratifying for us to see them then take those

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<v Speaker 4>into their communities and play.

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<v Speaker 2>Just have about twenty five seconds left here. What have

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<v Speaker 2>you seen in terms of the interest among a younger

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<v Speaker 2>population in general, either coming to it and also just

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<v Speaker 2>playing in tennis.

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<v Speaker 4>Well, I think you may have some time with our CEO, Loocire,

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<v Speaker 4>and we love to talk about the growth over the

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<v Speaker 4>past three years that we've enjoyed in tennis. We've got

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<v Speaker 4>over twenty three million active players in the United States,

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<v Speaker 4>over thirty percent increase over the past three years, and

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<v Speaker 4>much of that coming from diverse populations where we want

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<v Speaker 4>tennis to look like America and feel like America, and

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<v Speaker 4>that includes the.

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<v Speaker 3>Youth population of the course as well.

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<v Speaker 2>You're so fun.

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<v Speaker 3>I love being here with you guys. Thanks for having me.

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<v Speaker 2>We love talking to you.

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<v Speaker 5>We just wish we could do this more than two

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<v Speaker 5>days a year.

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<v Speaker 2>Can be coming from you.

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<v Speaker 5>We will.

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<v Speaker 2>Absolutely Kirsten, thank you to be well. Thank you for

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<v Speaker 2>having Kriston Courier, USTA Chief Commercial Officer right here at

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<v Speaker 2>the US Open. You are listening and watching Bloomberg Business Week.

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<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 1>Live weekday afternoons from three to six Eastern Listen on

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<v Speaker 1>Bloomberg dot com, the iHeartRadio app and the Bloomberg Business app,

0:10:03.400 --> 0:10:06.800
<v Speaker 1>or wan't just live on YouTube.

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<v Speaker 2>Call Master along with Tim Stenvik live at the US

0:10:10.160 --> 0:10:14.080
<v Speaker 2>Open at the Arthur Ash Stadium. Literally right now, we're

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<v Speaker 2>just in the midst of everything.

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<v Speaker 5>I can hear, you can hear the officials, you can

0:10:18.760 --> 0:10:22.439
<v Speaker 5>hear the crowd hearing. Yes, you can sometimes hear a

0:10:22.440 --> 0:10:27.520
<v Speaker 5>passionate player maybe grunter or scream. That's all part of

0:10:27.520 --> 0:10:28.600
<v Speaker 5>the fun here at the US Open.

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<v Speaker 2>It's so much fun, it's so alive. It's just a

0:10:31.040 --> 0:10:33.319
<v Speaker 2>blast to be here. Having said that, we're sorry to

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<v Speaker 2>our Bloomberg News team in particular, who we know are

0:10:37.400 --> 0:10:37.840
<v Speaker 2>fans of.

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<v Speaker 5>That is so cruel. Okay, next year, you guys are

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<v Speaker 5>coming here with us.

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<v Speaker 2>Okay, all right, We've got two great stories. One is

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<v Speaker 2>about former US First Lady Michelle Obama. She spoke at

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<v Speaker 2>Arthur Ash earlier in the week advocating for equal pay

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<v Speaker 2>for female athletes. And she's really the latest prominent figure

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<v Speaker 2>to push for progress in women's sports. We talked about

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<v Speaker 2>it a little bit with Kirsten about the importance of

0:10:59.240 --> 0:11:02.199
<v Speaker 2>equality and diversity and then writing about how the US

0:11:02.240 --> 0:11:04.360
<v Speaker 2>Open is a test for Carlos Alcoraz.

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<v Speaker 5>Yeah, is he the next great tennis player? Now that

0:11:07.040 --> 0:11:08.839
<v Speaker 5>the Big three is no longer the Big Three? We

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<v Speaker 5>got Ira Bouduat joining us. He is Bloomberg News Global

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<v Speaker 5>Business reporter on zoom in New York City. Also with

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<v Speaker 5>us is Bloomberg News Senior reporter Jillian tan Back right

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<v Speaker 5>now in our Bloomberg Interactive Brokers studio.

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<v Speaker 2>I feel like, Jillian, we need to start with you

0:11:20.240 --> 0:11:23.839
<v Speaker 2>because I feel like equality when it comes to sports

0:11:25.040 --> 0:11:28.960
<v Speaker 2>remains an issue, and I know the USTA is working

0:11:29.000 --> 0:11:32.080
<v Speaker 2>on it. But tell us about Misschelle Obama, the former

0:11:32.120 --> 0:11:34.079
<v Speaker 2>First Lady, earlier in the week, because she had a

0:11:34.120 --> 0:11:35.000
<v Speaker 2>pretty strong words.

0:11:35.120 --> 0:11:37.880
<v Speaker 7>Yes, so she kicked off sort of Monday night action

0:11:38.800 --> 0:11:41.560
<v Speaker 7>after Cocoa Golf one on Monday Night. She came out

0:11:41.760 --> 0:11:44.800
<v Speaker 7>honored Billy Jan King, who where exactly you are? You

0:11:44.840 --> 0:11:47.080
<v Speaker 7>guys are in the Billy Jing King National Tennis Center,

0:11:47.880 --> 0:11:51.120
<v Speaker 7>and so Billy Jan King fifty years ago, went out

0:11:51.400 --> 0:11:54.559
<v Speaker 7>found sponsors and was actually Bristol Meyer's squib that came

0:11:54.640 --> 0:11:58.079
<v Speaker 7>up with equal prize money for women's tennis. The year earlier,

0:11:58.120 --> 0:12:01.040
<v Speaker 7>in nineteen seventy two, she cashed a ten thousand dollars

0:12:01.080 --> 0:12:04.960
<v Speaker 7>check her male counterpart, Gilli Nastazi twenty five thousand. So

0:12:05.000 --> 0:12:07.880
<v Speaker 7>it was Billy Jinking fifty years ago pioneered you know,

0:12:07.960 --> 0:12:11.040
<v Speaker 7>equal pay in sport. It took the other Grand Slams,

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<v Speaker 7>you know, decades to catch up. The Australian Open only

0:12:13.840 --> 0:12:16.280
<v Speaker 7>did it in two thousand and one, the French Open

0:12:16.320 --> 0:12:18.600
<v Speaker 7>in six and Wimbledon was the last in two thousand

0:12:18.600 --> 0:12:21.480
<v Speaker 7>and seven, with Venus Williams sort of helping get that along.

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<v Speaker 7>But what's crazy is it's twenty twenty three and some

0:12:24.800 --> 0:12:27.480
<v Speaker 7>of the like lead up tournaments to the US opened

0:12:27.480 --> 0:12:30.720
<v Speaker 7>in Cincinnati, in DC, there's still you know, women are

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<v Speaker 7>owning a fraction of what the men are earning.

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<v Speaker 5>Yeah, I'm so glad you mentioned Cincinnati. I mean, it

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<v Speaker 5>was remarkable to see that the women's prize pot is

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<v Speaker 5>less than half of what men men get. I mean,

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<v Speaker 5>but it's not just tennis, Julian. This is like I mean,

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<v Speaker 5>think about the struggle of the US national women's soccer

0:12:48.800 --> 0:12:51.040
<v Speaker 5>team and female soccer players that we've experienced here in

0:12:51.080 --> 0:12:51.440
<v Speaker 5>the US.

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<v Speaker 3>Yeah, exactly.

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<v Speaker 7>So the World Cup recently has thrown a huge spotlight

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<v Speaker 7>on it. Like our colleagues wrote about how in Spain.

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<v Speaker 7>You know, there's a lot of debate, especially in Spain one.

0:13:00.720 --> 0:13:03.320
<v Speaker 7>But it's not just in soccer, it's in basketball, It's

0:13:03.360 --> 0:13:05.960
<v Speaker 7>in pretty much every sport across the globe. You know,

0:13:06.240 --> 0:13:09.240
<v Speaker 7>tennis is one rare sport where prize money is equal,

0:13:09.280 --> 0:13:11.960
<v Speaker 7>but it only in certain events like the one that's

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<v Speaker 7>happening this fortnite at Flushing.

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<v Speaker 2>IIRA. We want to bring you into the conversation. You've

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<v Speaker 2>got a great story about Carlos Alcoraz, but before we

0:13:21.400 --> 0:13:23.840
<v Speaker 2>get to it, you know, you cover sports, you love sports.

0:13:23.880 --> 0:13:25.480
<v Speaker 2>What do you think about, you know, when it comes

0:13:25.520 --> 0:13:28.200
<v Speaker 2>to still kind of this fight for equality between women

0:13:28.240 --> 0:13:31.280
<v Speaker 2>and men when it comes to sports, you.

0:13:31.280 --> 0:13:33.480
<v Speaker 8>Know, I think tennis is are really good. I mean,

0:13:33.520 --> 0:13:35.199
<v Speaker 8>I don't think it's an accident that Billy jan King

0:13:35.280 --> 0:13:37.200
<v Speaker 8>has been a pioneer in this and that tennis is

0:13:37.240 --> 0:13:39.520
<v Speaker 8>really part of what has led the way for equal

0:13:39.559 --> 0:13:42.800
<v Speaker 8>pay because it is an individual sport primarily, and the

0:13:42.840 --> 0:13:46.000
<v Speaker 8>women have been a huge draw. Serena Williams one of

0:13:46.000 --> 0:13:49.480
<v Speaker 8>the biggest athletes of our generation, male or female, and

0:13:49.559 --> 0:13:51.719
<v Speaker 8>so I think they have some of that leverage and

0:13:51.760 --> 0:13:53.719
<v Speaker 8>Billy Jing King really showed them how to use it.

0:13:53.840 --> 0:13:55.640
<v Speaker 8>But the job is still not done. What it is

0:13:55.720 --> 0:13:59.320
<v Speaker 8>surprising to see at this stage in the game that

0:13:59.360 --> 0:14:01.600
<v Speaker 8>we still have competitions on the tour that are not

0:14:02.080 --> 0:14:04.280
<v Speaker 8>with equal prize money.

0:14:04.360 --> 0:14:07.000
<v Speaker 5>So the tour that's really surprising to oh, go ahead.

0:14:06.800 --> 0:14:07.880
<v Speaker 3>You sorry, just to jump in.

0:14:07.920 --> 0:14:10.520
<v Speaker 7>Like the tour actually has been feeling the heat from

0:14:10.520 --> 0:14:13.000
<v Speaker 7>the whole world sort of saying, hey, what's going on, guys,

0:14:13.200 --> 0:14:16.240
<v Speaker 7>And they've actually outlined a plan to have equal prize money,

0:14:16.280 --> 0:14:18.199
<v Speaker 7>but not till twenty twenty seven at some of these

0:14:18.200 --> 0:14:18.679
<v Speaker 7>big events.

0:14:18.720 --> 0:14:21.080
<v Speaker 2>Why so long? Why is everything so long? All you

0:14:21.120 --> 0:14:23.440
<v Speaker 2>have to do is like say.

0:14:22.800 --> 0:14:24.160
<v Speaker 5>Give me the money, wit, just do.

0:14:25.120 --> 0:14:26.040
<v Speaker 3>Sponsorship, Carol.

0:14:26.120 --> 0:14:28.600
<v Speaker 7>So it's about you know, the sponsors. You know they

0:14:28.600 --> 0:14:31.520
<v Speaker 7>don't believe the eyeballs. The viewership is there, but if

0:14:31.840 --> 0:14:34.920
<v Speaker 7>you know, if your numbers are to believe, like the

0:14:35.040 --> 0:14:38.840
<v Speaker 7>US up the soccer down in Australia, like the ratings

0:14:38.840 --> 0:14:39.680
<v Speaker 7>were off, the charts.

0:14:40.920 --> 0:14:45.480
<v Speaker 2>Well, we just talked with Curio. She is here, she's

0:14:45.600 --> 0:14:48.720
<v Speaker 2>chief commercial officer, she's doing the sponsorships. We just talked

0:14:48.760 --> 0:14:50.600
<v Speaker 2>to her about this issue. And even though you don't

0:14:50.600 --> 0:14:55.160
<v Speaker 2>have you know, Serena here, you know that things are changing.

0:14:55.240 --> 0:14:58.360
<v Speaker 2>The older you know, elite if you will, from tennis

0:14:58.560 --> 0:15:02.520
<v Speaker 2>is moving on slowly. That still you're getting record numbers here.

0:15:02.600 --> 0:15:06.000
<v Speaker 2>So it's just interesting about this idea that the eyeballs.

0:15:06.080 --> 0:15:07.760
<v Speaker 2>I don't know, I feel like it's an old argument.

0:15:08.440 --> 0:15:10.440
<v Speaker 2>Having said that, we do want to get to Ara

0:15:10.560 --> 0:15:14.240
<v Speaker 2>your story. Talk to us about Carlos Alcarez. He's a

0:15:14.280 --> 0:15:17.560
<v Speaker 2>young he's part of the next generation potentially.

0:15:17.160 --> 0:15:18.640
<v Speaker 5>Yeah, I mean for sure.

0:15:18.680 --> 0:15:21.080
<v Speaker 8>And this has been the question in men's on the

0:15:21.080 --> 0:15:25.280
<v Speaker 8>men's side for decades. Now, what happens when Federer, Nadal

0:15:25.320 --> 0:15:28.400
<v Speaker 8>and Djokovic you're done? And now that Feder's retired and

0:15:28.400 --> 0:15:31.440
<v Speaker 8>the Doll's about to retire, Djokovic looks like he has

0:15:31.560 --> 0:15:34.360
<v Speaker 8>some you know, left in the tank, but is obviously

0:15:34.400 --> 0:15:38.040
<v Speaker 8>in his twilight years or entering them. Who's next? And

0:15:38.120 --> 0:15:40.800
<v Speaker 8>I think Wimbledon and last year's Open, we kind of

0:15:40.840 --> 0:15:43.320
<v Speaker 8>got a glimpse anyway at the answer and it's Carlos

0:15:43.400 --> 0:15:47.000
<v Speaker 8>Alcaraz and what I was writing about is the opportunity

0:15:47.000 --> 0:15:50.360
<v Speaker 8>that that presents him because if he can sort of

0:15:50.400 --> 0:15:53.200
<v Speaker 8>consolidate that and dominate on the men's side for the

0:15:53.200 --> 0:15:56.840
<v Speaker 8>next decade or two, because he is only twenty, he

0:15:57.000 --> 0:15:59.760
<v Speaker 8>could very realistically be the next sort of billion dollar

0:15:59.720 --> 0:16:02.600
<v Speaker 8>at fleet. You know, you look at Roger Federer's lifetime

0:16:02.680 --> 0:16:06.200
<v Speaker 8>earnings on the court prize money, but also off it

0:16:06.240 --> 0:16:09.160
<v Speaker 8>where you get the majority tennis players as in an

0:16:09.160 --> 0:16:13.120
<v Speaker 8>individual sport, they can really cash in, and so Alcarez

0:16:13.160 --> 0:16:16.880
<v Speaker 8>stands to really profit from his brilliant play recently.

0:16:18.280 --> 0:16:20.480
<v Speaker 5>It's interesting, I right, tennis players can really cash in

0:16:20.520 --> 0:16:22.440
<v Speaker 5>if they're the top of the top right five of

0:16:22.480 --> 0:16:24.720
<v Speaker 5>the fifty highest earning athletes of all time. This is

0:16:24.760 --> 0:16:27.680
<v Speaker 5>in your story according to estimates by Sportico are tennis players.

0:16:28.200 --> 0:16:29.600
<v Speaker 5>The thing is is you have to be the top

0:16:29.600 --> 0:16:31.680
<v Speaker 5>of the top and actually to actually make a living,

0:16:31.760 --> 0:16:34.560
<v Speaker 5>because you know, there are so many players out there,

0:16:34.600 --> 0:16:37.200
<v Speaker 5>many of whom qualified for the US Open this year

0:16:38.400 --> 0:16:42.280
<v Speaker 5>that really, you know, essentially live tournament to tournament and

0:16:42.680 --> 0:16:45.520
<v Speaker 5>paycheck to paycheck. Yeah, I mean, it is.

0:16:45.440 --> 0:16:48.560
<v Speaker 8>A ruthless eat. What you kill sport and the pyramid.

0:16:48.880 --> 0:16:51.920
<v Speaker 8>You know, the difference between one and ten is huge,

0:16:51.920 --> 0:16:53.840
<v Speaker 8>and the difference between ten and one hundred and the

0:16:53.920 --> 0:16:58.360
<v Speaker 8>rankings is even wider. It's just very difficult. But if

0:16:58.400 --> 0:17:01.800
<v Speaker 8>you can get to the top with the mountain, the

0:17:01.800 --> 0:17:05.119
<v Speaker 8>rewards are as rich as an in sport. And for Alcarez,

0:17:05.119 --> 0:17:08.080
<v Speaker 8>it's interesting because in talking to marketing people, talked with

0:17:08.160 --> 0:17:11.600
<v Speaker 8>guy Bob Dorfman, who does sports marketing and clinical advertising,

0:17:12.080 --> 0:17:14.359
<v Speaker 8>he's saying, you know, the ceiling is the limit for

0:17:14.440 --> 0:17:18.439
<v Speaker 8>him in terms of categories endorsement deals. Besides the obvious

0:17:18.440 --> 0:17:21.160
<v Speaker 8>stay healthy, keep winning, he needs to sort of start

0:17:21.200 --> 0:17:24.440
<v Speaker 8>to show his personality. Obviously, in US is the biggest market.

0:17:24.520 --> 0:17:26.960
<v Speaker 8>Everyone's always waiting for the next US tennis star. But

0:17:27.640 --> 0:17:30.000
<v Speaker 8>Alcarez can really capture that too if he works on

0:17:30.040 --> 0:17:31.919
<v Speaker 8>his English a little bit more and just kind of

0:17:31.960 --> 0:17:33.920
<v Speaker 8>let's let's the world see who he is. I was

0:17:33.960 --> 0:17:37.200
<v Speaker 8>at this event at a low Ta Palace hotel before

0:17:37.200 --> 0:17:39.840
<v Speaker 8>the Open, where they had him and a few other players,

0:17:39.840 --> 0:17:41.400
<v Speaker 8>and he really was the star of the show. It's

0:17:41.400 --> 0:17:44.639
<v Speaker 8>a little cocktail hour and he has a big, contagious smile.

0:17:44.760 --> 0:17:47.119
<v Speaker 8>He clearly knew how to work a room. But I

0:17:47.119 --> 0:17:50.240
<v Speaker 8>think we've get to see that kind of leveraged in

0:17:50.640 --> 0:17:54.480
<v Speaker 8>a big way in endorsement deals and in marketing.

0:17:55.359 --> 0:17:57.960
<v Speaker 2>You know, Jillian, As we look at the next round

0:17:58.040 --> 0:18:00.560
<v Speaker 2>for men's players in tennis, the next general, I think

0:18:00.560 --> 0:18:02.879
<v Speaker 2>about the next generation for women and we're starting to

0:18:02.920 --> 0:18:06.280
<v Speaker 2>see that. We certainly saw it last time around. But

0:18:06.320 --> 0:18:07.959
<v Speaker 2>I do think about last time that I was here

0:18:08.000 --> 0:18:10.600
<v Speaker 2>at the Open, I watched Serena and Venus play in

0:18:10.640 --> 0:18:12.800
<v Speaker 2>a doubles match, and I watched Serena.

0:18:12.400 --> 0:18:13.960
<v Speaker 5>Play what you saw her last match?

0:18:14.040 --> 0:18:16.040
<v Speaker 2>I saw her last match. You know, when I do

0:18:16.080 --> 0:18:20.040
<v Speaker 2>think about the next generation for women, how are you

0:18:20.080 --> 0:18:22.199
<v Speaker 2>thinking about it? And we really I think all did

0:18:22.280 --> 0:18:24.800
<v Speaker 2>think Serena and Venus would make it so that there

0:18:24.840 --> 0:18:26.639
<v Speaker 2>was more parody, and they definitely have moved it along.

0:18:26.800 --> 0:18:28.159
<v Speaker 2>But we still have a ways to go.

0:18:28.400 --> 0:18:31.400
<v Speaker 7>Yeah, I mean, I think there's a bunch of upcoming styles. Obviously,

0:18:31.440 --> 0:18:34.840
<v Speaker 7>Coco's leading the way. Jessica Pagola, her dad owns the

0:18:34.920 --> 0:18:37.760
<v Speaker 7>Buffalo Bills, She's the third seed. Her and Coco actually

0:18:37.800 --> 0:18:41.919
<v Speaker 7>played doubles together. Like there's another American called Alicia Parks.

0:18:41.960 --> 0:18:45.000
<v Speaker 7>Like the bench is deep and to our's point about

0:18:45.040 --> 0:18:47.640
<v Speaker 7>you know upcoming US players. There's a couple that are

0:18:47.720 --> 0:18:51.240
<v Speaker 7>really already stamping their foot on the map, Francis Tfo

0:18:51.359 --> 0:18:53.840
<v Speaker 7>and then Chris Eubanks being one that've had had deep

0:18:53.880 --> 0:18:54.760
<v Speaker 7>runs and slams.

0:18:56.720 --> 0:18:57.720
<v Speaker 2>All right, well, great stuff.

0:18:57.800 --> 0:19:00.360
<v Speaker 5>Looking forward to seeing a handful of those players today.

0:19:00.640 --> 0:19:04.520
<v Speaker 2>Absolutely, absolutely, there's a lot right to look out for.

0:19:05.240 --> 0:19:07.359
<v Speaker 2>Wish you guys both were here, but really fun to

0:19:07.359 --> 0:19:09.480
<v Speaker 2>read both of your stories, So thank you so much

0:19:10.160 --> 0:19:13.040
<v Speaker 2>for joining us today. Jillian tan of Courstinia, reporter at

0:19:13.080 --> 0:19:15.399
<v Speaker 2>Bloomberg News back there in our interactive Brokers studio at

0:19:15.400 --> 0:19:19.760
<v Speaker 2>Bloomberg Headquarters in Ira Boodway, Global Business Reporter and on

0:19:19.840 --> 0:19:22.800
<v Speaker 2>zoom from New York City. That story a BusinessWeek story,

0:19:22.920 --> 0:19:26.280
<v Speaker 2>so check it out to at Bloomberg dot com slash BusinessWeek.

0:19:28.600 --> 0:19:32.159
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:19:32.200 --> 0:19:36.320
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:19:36.400 --> 0:19:39.680
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0:19:43.359 --> 0:19:46.440
<v Speaker 1>Just Say Alexa, Play Bloomberg eleven thirty.

0:19:48.680 --> 0:19:51.920
<v Speaker 8>On grass A play everyday.

0:19:53.280 --> 0:19:55.880
<v Speaker 3>Okay, good time is ironic?

0:19:56.200 --> 0:20:02.040
<v Speaker 9>Shall we say ball is in your court.

0:20:03.760 --> 0:20:08.159
<v Speaker 2>Love it grass clay and they're playing it. It's not

0:20:08.200 --> 0:20:12.159
<v Speaker 2>grass here though, Nope, not these days, Nope, nope, not

0:20:12.280 --> 0:20:14.560
<v Speaker 2>these days. One of the things I don't know when

0:20:14.560 --> 0:20:15.920
<v Speaker 2>it comes to you, I don't know if grass could

0:20:15.920 --> 0:20:17.439
<v Speaker 2>be better with AI. Do you think it could be

0:20:17.440 --> 0:20:18.040
<v Speaker 2>better with AI?

0:20:18.480 --> 0:20:20.280
<v Speaker 5>Well, Wimbledon, Yeah, I guess so.

0:20:20.520 --> 0:20:22.760
<v Speaker 2>Yeah. Anyway, we're gonna talk a little bit about AI,

0:20:23.000 --> 0:20:27.120
<v Speaker 2>Artificial intelligence. It permeates everything that we do, including what's

0:20:27.160 --> 0:20:28.320
<v Speaker 2>going on here at the US Open.

0:20:28.520 --> 0:20:31.399
<v Speaker 5>Yeah. The US Open is actually harnessing AI through their

0:20:31.400 --> 0:20:33.879
<v Speaker 5>partnership with IBM. So we've talked a lottle bit in

0:20:33.920 --> 0:20:36.359
<v Speaker 5>the past, Carol about player analysis and predictions that are

0:20:36.400 --> 0:20:40.200
<v Speaker 5>powered by IBM. But here's something cool that the tournament

0:20:40.280 --> 0:20:43.959
<v Speaker 5>is doing this year. AI generated commentary for match highlights,

0:20:43.960 --> 0:20:45.760
<v Speaker 5>so the USCA can quickly get the highlights out of

0:20:45.840 --> 0:20:49.600
<v Speaker 5>fans around the world. You know, you have hundreds of

0:20:49.600 --> 0:20:52.000
<v Speaker 5>thousands of people come to this event every year. Yeah,

0:20:52.040 --> 0:20:54.119
<v Speaker 5>but you have millions of people who actually follow the

0:20:54.160 --> 0:20:58.000
<v Speaker 5>event of the USTA website and also through the app,

0:20:58.560 --> 0:21:01.600
<v Speaker 5>and they need to get quick updates. And I guess

0:21:01.600 --> 0:21:03.840
<v Speaker 5>my question is, you know, are we going to be

0:21:03.880 --> 0:21:06.360
<v Speaker 5>out of a job because they don't even need announcers anymore.

0:21:06.440 --> 0:21:07.879
<v Speaker 2>No's laughing, We're not laughing.

0:21:08.040 --> 0:21:08.080
<v Speaker 7>No.

0:21:08.240 --> 0:21:10.400
<v Speaker 2>Psychon is abou Us. He's VP of Sports and Entertainment

0:21:10.400 --> 0:21:13.240
<v Speaker 2>Partnerships at IBM. Once again back with us on site

0:21:13.240 --> 0:21:14.040
<v Speaker 2>at the US Open.

0:21:14.040 --> 0:21:15.639
<v Speaker 5>How are you I'm excellent.

0:21:15.680 --> 0:21:18.480
<v Speaker 2>How are you guys doing well? So tell us about this.

0:21:19.080 --> 0:21:21.639
<v Speaker 10>So AI commentary. There's a lot of tennis going on

0:21:21.680 --> 0:21:25.280
<v Speaker 10>out here. There's seventeen courts of action, but there's only

0:21:25.320 --> 0:21:28.520
<v Speaker 10>commentators on two or three courts. We know Patrick McEnroe,

0:21:28.560 --> 0:21:32.399
<v Speaker 10>John McEnroe, Chris ever Well, a lot of videos captured

0:21:32.440 --> 0:21:34.879
<v Speaker 10>from those courts, and the USTA really asked us, you know,

0:21:34.960 --> 0:21:37.640
<v Speaker 10>how do we create a better experience for people who

0:21:37.640 --> 0:21:40.320
<v Speaker 10>are who are seeing these highlight packages? How do we

0:21:40.400 --> 0:21:43.560
<v Speaker 10>lay commentary on top of those packages? And so that

0:21:43.680 --> 0:21:45.240
<v Speaker 10>was a great challenge. So when you go to the

0:21:45.280 --> 0:21:47.760
<v Speaker 10>US Open dot org this week or download the app

0:21:47.800 --> 0:21:50.359
<v Speaker 10>and you see these highlight packages for every singles match,

0:21:51.040 --> 0:21:54.720
<v Speaker 10>what you'll see is AI generated commentary laid on.

0:21:54.600 --> 0:21:56.840
<v Speaker 5>Top of them. When you say commentary, do you mean

0:21:57.280 --> 0:22:00.000
<v Speaker 5>just text on screen or do you mean actual voice?

0:22:00.000 --> 0:22:02.439
<v Speaker 10>We have voice commentary, So we'll provide a little texture

0:22:02.480 --> 0:22:05.000
<v Speaker 10>about who those players are, maybe something about how they've

0:22:05.000 --> 0:22:06.880
<v Speaker 10>played before, what countries there.

0:22:06.960 --> 0:22:08.520
<v Speaker 5>Does it sound like a human being or does it

0:22:08.520 --> 0:22:09.359
<v Speaker 5>sound like a robot?

0:22:09.760 --> 0:22:11.720
<v Speaker 10>Well, I don't know what a robot sounds like anymore,

0:22:11.720 --> 0:22:12.600
<v Speaker 10>but you know you're trying.

0:22:12.680 --> 0:22:15.480
<v Speaker 5>I am that's what a robot sounds Definitely not.

0:22:16.680 --> 0:22:19.399
<v Speaker 10>Look, we all have our GPS or our little smart

0:22:19.400 --> 0:22:21.760
<v Speaker 10>devices and we have those voices and it sounds pretty

0:22:21.840 --> 0:22:25.600
<v Speaker 10>much like that. But what we're excited about. In addition

0:22:25.640 --> 0:22:27.840
<v Speaker 10>to what we're doing today, we're doing English language. But

0:22:28.200 --> 0:22:29.800
<v Speaker 10>if you think about the players that come out here,

0:22:29.800 --> 0:22:31.920
<v Speaker 10>they're from countries around the world. They have fans around

0:22:31.960 --> 0:22:36.119
<v Speaker 10>the world. So next year we'll be doing multi language translation.

0:22:36.280 --> 0:22:38.200
<v Speaker 10>So wherever you are in the world, you're going to

0:22:38.240 --> 0:22:41.119
<v Speaker 10>get highlights in your language, which isn't available today.

0:22:41.280 --> 0:22:43.440
<v Speaker 2>How does it work, Like, what's the pull of information

0:22:43.480 --> 0:22:46.240
<v Speaker 2>that it's using to do that to make sure it's good.

0:22:46.240 --> 0:22:47.800
<v Speaker 2>I'm sure you have people who are fact checking and

0:22:47.840 --> 0:22:49.840
<v Speaker 2>reviewing it, But how does it all work?

0:22:49.920 --> 0:22:52.200
<v Speaker 10>Yeah, So there's data feeds that come off the court, right,

0:22:52.240 --> 0:22:54.760
<v Speaker 10>and that captures all the statistical data from the court

0:22:55.000 --> 0:22:58.600
<v Speaker 10>from each competition. Then we use a large language model,

0:22:59.000 --> 0:23:02.480
<v Speaker 10>which is the underpinning of our Watts next generative AI platform.

0:23:02.760 --> 0:23:06.560
<v Speaker 10>That large language model knows language already. It's already been

0:23:06.600 --> 0:23:09.200
<v Speaker 10>taught language. So what we teach it is tennis, what

0:23:09.240 --> 0:23:11.480
<v Speaker 10>a passing shot is, what a winner is, what Arthur

0:23:11.520 --> 0:23:15.320
<v Speaker 10>ash Stadium is versus Louis Armstrong Stadium, So it knows language.

0:23:15.680 --> 0:23:18.200
<v Speaker 10>We bring in the data feed, we teach it what

0:23:18.359 --> 0:23:20.800
<v Speaker 10>a winner is in all those different dimensions, and then

0:23:20.800 --> 0:23:23.600
<v Speaker 10>we bring them together to generate the commentary. So it's

0:23:23.760 --> 0:23:26.399
<v Speaker 10>the data coming off the court combined with large language model,

0:23:26.680 --> 0:23:29.320
<v Speaker 10>combined with teaching tennis to the AI.

0:23:30.160 --> 0:23:34.239
<v Speaker 5>I'm not being facetious with this question at all, but no,

0:23:34.280 --> 0:23:37.919
<v Speaker 5>but I'm wondering about personality. You mentioned you know, the

0:23:38.000 --> 0:23:43.720
<v Speaker 5>Macenroe brothers, Chris ever, like this is those people are

0:23:43.720 --> 0:23:46.520
<v Speaker 5>great at what they do. Because they're great at what

0:23:46.560 --> 0:23:49.760
<v Speaker 5>they do. I mean, if their personalities come across we

0:23:49.880 --> 0:23:51.960
<v Speaker 5>know them by now. If you've been watching tennis, you

0:23:51.960 --> 0:23:53.760
<v Speaker 5>know them. If you just watch the US Open for

0:23:53.800 --> 0:23:55.840
<v Speaker 5>two weeks, you get to know them. How do you

0:23:56.000 --> 0:23:58.680
<v Speaker 5>give these bots personalities?

0:23:59.280 --> 0:24:01.440
<v Speaker 10>I don't know if person the right way to think

0:24:01.440 --> 0:24:04.760
<v Speaker 10>about it, but you know, reflecting on some of the commentators,

0:24:04.760 --> 0:24:06.800
<v Speaker 10>if you were out here at eight, nine, ten o'clock

0:24:06.840 --> 0:24:10.040
<v Speaker 10>this morning, you'd probably see those commentators roaming around the

0:24:10.080 --> 0:24:13.520
<v Speaker 10>practice courts. They know the players, they know the coaches, right,

0:24:13.520 --> 0:24:17.240
<v Speaker 10>So there's texture that the commentators have. They'd probably have

0:24:17.280 --> 0:24:19.919
<v Speaker 10>seen these players grow up. Frankly, there's texture that the

0:24:19.920 --> 0:24:22.840
<v Speaker 10>commentators have that the AI probably doesn't have. What we

0:24:22.920 --> 0:24:25.320
<v Speaker 10>give is a little bit of inflection. So the AI

0:24:25.480 --> 0:24:28.919
<v Speaker 10>knows what a breakpoint is, So the commentary around a

0:24:28.920 --> 0:24:31.240
<v Speaker 10>break point is going to have a little bit more substance,

0:24:31.280 --> 0:24:34.439
<v Speaker 10>a little bit more flair, so to speak, than a

0:24:34.480 --> 0:24:36.879
<v Speaker 10>different point or the end of the mat or end

0:24:36.880 --> 0:24:40.840
<v Speaker 10>of the set, all of those different dimensions around tennis

0:24:40.920 --> 0:24:43.720
<v Speaker 10>or what drives a little bit more inflection and texture.

0:24:43.320 --> 0:24:43.800
<v Speaker 9>In the voice.

0:24:45.560 --> 0:24:47.680
<v Speaker 2>How does generative AI change Watson?

0:24:49.160 --> 0:24:51.600
<v Speaker 10>Well, I don't know if generative AI changes Watson, but

0:24:51.640 --> 0:24:54.760
<v Speaker 10>the Watson X platform is going to change how AI.

0:24:54.600 --> 0:24:57.720
<v Speaker 5>Is able to be created, meaning what speed.

0:24:57.880 --> 0:25:01.479
<v Speaker 10>Speed, and the availability of large linelanguage model. So, like

0:25:01.520 --> 0:25:03.679
<v Speaker 10>I said, we use one of these large anguish models

0:25:03.680 --> 0:25:07.840
<v Speaker 10>that was already taught speech and language, so it's already there,

0:25:07.960 --> 0:25:11.840
<v Speaker 10>pretty baked. Now tune it to your task. Your task

0:25:11.880 --> 0:25:14.960
<v Speaker 10>may be tennis, your task may be creating a chatbot

0:25:15.040 --> 0:25:18.320
<v Speaker 10>for a big bank to serve your customers better. So

0:25:19.000 --> 0:25:23.480
<v Speaker 10>those underpinning development platforms have pre baked models that allow

0:25:23.560 --> 0:25:26.680
<v Speaker 10>for more rapid development, more of raried use gives.

0:25:26.760 --> 0:25:28.920
<v Speaker 2>I keep thinking of the Jeopardy example, and I bring

0:25:28.920 --> 0:25:30.560
<v Speaker 2>this up because you were very involved in all of this,

0:25:30.960 --> 0:25:33.119
<v Speaker 2>and I'm just thinking, like, what did it take to

0:25:33.240 --> 0:25:37.040
<v Speaker 2>make that work as well as it did? And now

0:25:37.600 --> 0:25:40.959
<v Speaker 2>how many years later we're like, oh my god, generated

0:25:41.040 --> 0:25:44.159
<v Speaker 2>AI And I'm just curious how you guys are thinking

0:25:44.200 --> 0:25:47.399
<v Speaker 2>about it and what it means like the next level.

0:25:47.520 --> 0:25:49.520
<v Speaker 10>Well, look, yeah, I'm glad the world finally caught off

0:25:49.520 --> 0:25:52.240
<v Speaker 10>to us, and the Jeopardy.

0:25:51.880 --> 0:25:53.919
<v Speaker 2>Probably handed that to you. You're welcome.

0:25:54.280 --> 0:25:56.360
<v Speaker 5>I'm glad that the world up, but I'm curious caught

0:25:56.440 --> 0:25:56.720
<v Speaker 5>up to that.

0:25:56.760 --> 0:26:00.199
<v Speaker 10>But you know, it's really a whole differ for an

0:26:00.200 --> 0:26:02.600
<v Speaker 10>animal now from where we were, you know, years ago,

0:26:02.640 --> 0:26:06.240
<v Speaker 10>and people are concerned about, you know, the challenging parts

0:26:06.240 --> 0:26:08.440
<v Speaker 10>of AI, but the reality is, just like at the

0:26:08.520 --> 0:26:10.960
<v Speaker 10>US Open AI is going to be assisting people that

0:26:11.000 --> 0:26:14.400
<v Speaker 10>we're not replacing the commentators, We're adding new flavor We're

0:26:14.640 --> 0:26:18.080
<v Speaker 10>adding you know, value into the white space the courts

0:26:18.119 --> 0:26:20.719
<v Speaker 10>that weren't covered. And I think that's how businesses are

0:26:20.720 --> 0:26:22.119
<v Speaker 10>going to be thinking about it as well. You know,

0:26:22.160 --> 0:26:25.639
<v Speaker 10>how do I create new experiences that add value.

0:26:25.920 --> 0:26:27.639
<v Speaker 2>It's been the uptick in that in terms of that.

0:26:27.680 --> 0:26:29.520
<v Speaker 2>You've done that the coverage, right, you started it.

0:26:29.880 --> 0:26:32.760
<v Speaker 10>Yeah, we started this actually at the Masters. Okay, we

0:26:32.840 --> 0:26:35.320
<v Speaker 10>progressed at Wimbledon. Now we bring it at the USC

0:26:36.640 --> 0:26:38.720
<v Speaker 10>So at Wimbledon we saw over two and a half

0:26:38.760 --> 0:26:41.600
<v Speaker 10>million views of these videos, right, and we started with

0:26:41.680 --> 0:26:45.640
<v Speaker 10>the commentary defaulted off and immediately we saw people turning

0:26:45.720 --> 0:26:48.159
<v Speaker 10>them on and wanting to hear this commentary, and so

0:26:48.200 --> 0:26:50.679
<v Speaker 10>it went to default on. We try to take a

0:26:50.680 --> 0:26:53.520
<v Speaker 10>little slow start to anything, make sure that the users

0:26:53.520 --> 0:26:55.720
<v Speaker 10>are having a positive experience, and we saw that at Wimbledon.

0:26:55.880 --> 0:26:59.360
<v Speaker 5>They know the USTA and the US Open. You've had

0:26:59.359 --> 0:27:04.120
<v Speaker 5>this more than thirty year relationship with IBM with them.

0:27:04.920 --> 0:27:07.520
<v Speaker 5>How do you draw a line from the money you

0:27:07.560 --> 0:27:11.160
<v Speaker 5>spend here to top line growth at the company.

0:27:11.640 --> 0:27:14.760
<v Speaker 10>Yeah, Well, one of my most exciting moments is when

0:27:15.080 --> 0:27:17.240
<v Speaker 10>we're with a client or a customer and we share

0:27:17.880 --> 0:27:20.320
<v Speaker 10>what we're doing. Well, you know, how we created this

0:27:20.480 --> 0:27:23.760
<v Speaker 10>engagement with fans or use large language models, and when

0:27:23.800 --> 0:27:26.000
<v Speaker 10>the clients turn to us and say we need that,

0:27:26.920 --> 0:27:29.480
<v Speaker 10>we need to bring that into our business. That's a

0:27:29.520 --> 0:27:31.720
<v Speaker 10>direct line between what we do here and a client

0:27:31.800 --> 0:27:33.080
<v Speaker 10>saying we need to work with.

0:27:32.960 --> 0:27:35.280
<v Speaker 5>You more deeply. So what I'm hearing is upselling, not

0:27:35.320 --> 0:27:36.480
<v Speaker 5>necessarily new customers.

0:27:37.160 --> 0:27:39.040
<v Speaker 10>I think it's probably a little bit of both. You know,

0:27:39.040 --> 0:27:42.280
<v Speaker 10>if you're experiencing this on a mobile application or a website,

0:27:42.600 --> 0:27:44.880
<v Speaker 10>we get inbound demand like I want to know more

0:27:44.920 --> 0:27:48.119
<v Speaker 10>about that semi setup and appointment with one of our experts.

0:27:48.119 --> 0:27:50.000
<v Speaker 10>So it's a little bit of both, but certainly there's

0:27:50.040 --> 0:27:53.479
<v Speaker 10>a big expansion that we see with existing clients.

0:27:53.520 --> 0:27:55.359
<v Speaker 2>When you think about kind of where it goes next? Right,

0:27:55.359 --> 0:27:57.439
<v Speaker 2>thirty years, you guys have been working and developing different

0:27:57.440 --> 0:28:00.280
<v Speaker 2>things to kind of have fun when the customer experiences

0:28:00.640 --> 0:28:02.879
<v Speaker 2>your clients, the IBM customers, So how do you think

0:28:02.880 --> 0:28:04.840
<v Speaker 2>about kind of where it goes, like, what's next? What's

0:28:05.040 --> 0:28:05.560
<v Speaker 2>after you've done?

0:28:05.600 --> 0:28:09.280
<v Speaker 10>Your boss is like, yeah, I'm not a huge prognosticator,

0:28:09.320 --> 0:28:12.960
<v Speaker 10>but I really just think about how how productivity is

0:28:12.960 --> 0:28:14.840
<v Speaker 10>going to be accelerated with these capabilities.

0:28:14.960 --> 0:28:15.880
<v Speaker 5>Think about coding.

0:28:16.960 --> 0:28:19.600
<v Speaker 10>Coding is going to be one of the first places

0:28:19.600 --> 0:28:22.119
<v Speaker 10>you know, AI generated code is going to Again we've

0:28:22.119 --> 0:28:25.000
<v Speaker 10>talked about speed earlier. Yeah, if AI can help coders

0:28:25.080 --> 0:28:28.280
<v Speaker 10>generate code to create new experiences more quickly, then businesses

0:28:28.320 --> 0:28:29.760
<v Speaker 10>are going to be able to please their customers.

0:28:29.800 --> 0:28:33.320
<v Speaker 2>If Microsoft hadn't made that investment and announcement, would we

0:28:33.359 --> 0:28:36.240
<v Speaker 2>be talking as much about AI? In your view, would

0:28:36.280 --> 0:28:38.680
<v Speaker 2>something else I've done it or would have I'm just curious,

0:28:38.760 --> 0:28:40.360
<v Speaker 2>like all of a sudden, it's not like it's new.

0:28:40.600 --> 0:28:42.120
<v Speaker 10>No, I don't know if it's a matter of the

0:28:42.120 --> 0:28:44.160
<v Speaker 10>investment or not. I think it's a matter of when

0:28:44.160 --> 0:28:48.080
<v Speaker 10>people touch these things, it just it just creates an

0:28:48.120 --> 0:28:50.800
<v Speaker 10>extra level of interest. And I think some of the

0:28:50.840 --> 0:28:53.120
<v Speaker 10>things we've seen with chat, GPT, where now people can

0:28:53.560 --> 0:28:54.960
<v Speaker 10>literally get their hands on it.

0:28:55.080 --> 0:28:55.680
<v Speaker 5>Yeah.

0:28:55.720 --> 0:28:57.240
<v Speaker 10>You know, if you have a college student trying to

0:28:57.280 --> 0:28:59.680
<v Speaker 10>write a college essay, now they're having a very visceral

0:29:00.000 --> 0:29:02.440
<v Speaker 10>aperience with you know, how language can be used. But

0:29:02.880 --> 0:29:05.720
<v Speaker 10>the reality is that trust is going to be really

0:29:05.720 --> 0:29:08.400
<v Speaker 10>important in this era. Were using trusted data and that's

0:29:08.400 --> 0:29:09.560
<v Speaker 10>what we really pride ourselves.

0:29:09.600 --> 0:29:12.680
<v Speaker 2>We have a colleague, Matt miller Man. He's on top, what.

0:29:12.720 --> 0:29:15.680
<v Speaker 5>He's doing on that thing, what he's doing asking it everything.

0:29:16.040 --> 0:29:18.240
<v Speaker 2>Thank you so much, Thanks Ron, We always appreciate it.

0:29:18.280 --> 0:29:20.640
<v Speaker 2>In to a psych in VP of Sports and Entertainment Partnerships.

0:29:20.680 --> 0:29:23.400
<v Speaker 2>He's a busy guy here at IBM.

0:29:23.440 --> 0:29:27.800
<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

0:29:27.960 --> 0:29:31.560
<v Speaker 1>editors who bring you America's most trusted business magazine, plus

0:29:31.640 --> 0:29:35.520
<v Speaker 1>gloom O Business Finance and tech news. The Bloomberg Business

0:29:35.520 --> 0:29:40.720
<v Speaker 1>Week Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

0:29:43.520 --> 0:29:45.920
<v Speaker 2>Carol Masser on Tim Steneviick live at the US Open.

0:29:45.960 --> 0:29:49.240
<v Speaker 2>We're just outside Arthur ash Stadium, having really a lot

0:29:49.280 --> 0:29:52.240
<v Speaker 2>of fun. And when she's not here at the Open,

0:29:52.240 --> 0:29:54.800
<v Speaker 2>although she is right now, she comes every year all

0:29:54.840 --> 0:29:57.760
<v Speaker 2>the time with her family. She's usually pretty busy reporting

0:29:57.760 --> 0:29:58.920
<v Speaker 2>on some really important stuff.

0:29:59.000 --> 0:30:01.600
<v Speaker 5>Yeah, she's got an education angle and economic one. And

0:30:01.640 --> 0:30:03.080
<v Speaker 5>in the end, it's all about the big money in

0:30:03.120 --> 0:30:05.800
<v Speaker 5>the form of college endowments or the big moves that

0:30:05.840 --> 0:30:07.880
<v Speaker 5>are happening when it comes to some of these colleges

0:30:07.880 --> 0:30:08.560
<v Speaker 5>and universities.

0:30:08.600 --> 0:30:11.480
<v Speaker 2>See a move today, Bloomberg News Higher Education financial putter

0:30:11.520 --> 0:30:14.800
<v Speaker 2>Janet Lauren here with us on site at the US Open. Hello, Hello, Hello,

0:30:14.960 --> 0:30:16.920
<v Speaker 2>thanks for having me again. We love having you here.

0:30:16.960 --> 0:30:20.280
<v Speaker 2>We love seeing your family. They're on the sidelines. Some

0:30:20.400 --> 0:30:22.440
<v Speaker 2>news today Yale's president. What's going on?

0:30:22.560 --> 0:30:25.760
<v Speaker 9>Yeah, Peter Salvey announced that he is retiring after eleven

0:30:25.840 --> 0:30:29.440
<v Speaker 9>years of leading Yale in New Haven, Connecticut, and he's

0:30:29.480 --> 0:30:32.280
<v Speaker 9>going to go back to being a professor. You probably

0:30:32.320 --> 0:30:33.880
<v Speaker 9>don't know this, but he was one of the people

0:30:33.920 --> 0:30:36.520
<v Speaker 9>who developed the idea of emotional intelligence.

0:30:36.720 --> 0:30:39.680
<v Speaker 2>I did not know that. So why is he like done?

0:30:39.880 --> 0:30:44.000
<v Speaker 9>Well, it's been a tough decade plus one in higher education.

0:30:44.120 --> 0:30:47.040
<v Speaker 9>We had COVID, There's a lot of fundraising, and it's

0:30:47.080 --> 0:30:50.640
<v Speaker 9>been a tough time. Finances are not so easy. This

0:30:50.720 --> 0:30:52.920
<v Speaker 9>year we're going to talk about endowment returns. Last year

0:30:53.000 --> 0:30:55.400
<v Speaker 9>was not a great year for endowment so the Yale

0:30:55.480 --> 0:30:57.400
<v Speaker 9>of the Ivy League schools was the only one that

0:30:57.520 --> 0:30:59.080
<v Speaker 9>was had a positive return.

0:31:00.400 --> 0:31:02.880
<v Speaker 5>What is a typical tenure for a college professor, I

0:31:02.880 --> 0:31:07.160
<v Speaker 5>mean a university president who oftentimes are start at.

0:31:07.680 --> 0:31:09.400
<v Speaker 2>Of course they're always college professors.

0:31:09.400 --> 0:31:13.280
<v Speaker 9>It used to be about ten years, but lately we've

0:31:13.320 --> 0:31:16.040
<v Speaker 9>been seeing a lot of retirements. Keep in mind, one

0:31:16.040 --> 0:31:18.640
<v Speaker 9>of the biggest jobs is not teaching, which is the

0:31:18.680 --> 0:31:21.280
<v Speaker 9>fun part for them, but it's raising money.

0:31:21.600 --> 0:31:23.320
<v Speaker 5>It's like, come on, that's all they do is raise money.

0:31:23.360 --> 0:31:26.640
<v Speaker 9>But right now dealing with some big issues affirmative action.

0:31:27.440 --> 0:31:30.400
<v Speaker 9>Yale was not a litigant, but it's one of its rivals.

0:31:30.440 --> 0:31:33.239
<v Speaker 9>Harvard was, and that's what a lot of them are

0:31:33.560 --> 0:31:35.840
<v Speaker 9>trying to figure out how they're going to go about

0:31:35.840 --> 0:31:39.200
<v Speaker 9>the school the next academic cycle where they're recruiting kids.

0:31:39.640 --> 0:31:42.240
<v Speaker 9>Do you don't talk about race, but Harvard, you know

0:31:42.440 --> 0:31:45.280
<v Speaker 9>their essay. They've changed their essay, and it's not going

0:31:45.360 --> 0:31:47.160
<v Speaker 9>to be an easy time, although of course they've been

0:31:47.200 --> 0:31:48.600
<v Speaker 9>expecting this for the last year.

0:31:48.960 --> 0:31:50.520
<v Speaker 2>Yeah, it's funny that you say that. I was talking

0:31:50.560 --> 0:31:54.640
<v Speaker 2>actually with Tom Keane and he's got a daughter who's

0:31:54.800 --> 0:31:57.520
<v Speaker 2>getting ready or starting to think about college and so

0:31:57.680 --> 0:32:01.040
<v Speaker 2>and so forth. But what's interesting is investment officer, I

0:32:01.080 --> 0:32:03.880
<v Speaker 2>don't know you are hearing you have you have to

0:32:03.920 --> 0:32:08.280
<v Speaker 2>figure out, right, bill Stone?

0:32:09.040 --> 0:32:11.560
<v Speaker 5>Bill Stone, all right, they're going to get that next once.

0:32:11.560 --> 0:32:13.240
<v Speaker 5>We're gonna keep talking to Janet.

0:32:13.320 --> 0:32:16.000
<v Speaker 2>We are, we are, But he was talking about that.

0:32:16.080 --> 0:32:18.560
<v Speaker 2>All of a sudden, they're thinking about training for kids

0:32:18.560 --> 0:32:20.160
<v Speaker 2>for S A T S and P S. A TS again.

0:32:20.160 --> 0:32:21.680
<v Speaker 2>I'm like, I thought they were done with that. He's like, no,

0:32:21.760 --> 0:32:24.320
<v Speaker 2>Apparently colleges are finding that that's a good way of

0:32:24.480 --> 0:32:26.360
<v Speaker 2>a good metric to figure out if kids can do

0:32:26.880 --> 0:32:27.760
<v Speaker 2>well at their schools.

0:32:27.840 --> 0:32:30.680
<v Speaker 9>Yes, well, m I T last year said we are

0:32:30.720 --> 0:32:33.120
<v Speaker 9>bringing it back, and m I T is one of

0:32:33.120 --> 0:32:35.560
<v Speaker 9>a few outliers. Many of the schools are still saying

0:32:35.640 --> 0:32:37.320
<v Speaker 9>we're going to give it another couple of years. We

0:32:37.360 --> 0:32:40.120
<v Speaker 9>want to evaluate how our kids are doing in their

0:32:40.160 --> 0:32:41.960
<v Speaker 9>freshman year. But m I T is a place where

0:32:42.000 --> 0:32:44.040
<v Speaker 9>you got to do the math and science in order

0:32:44.080 --> 0:32:48.960
<v Speaker 9>to be successful. Purdue also announced that they are going back,

0:32:49.400 --> 0:32:52.160
<v Speaker 9>and another school, Georgia Tech, only had a.

0:32:52.480 --> 0:32:54.680
<v Speaker 3>Had the the pause.

0:32:54.480 --> 0:32:55.840
<v Speaker 2>For one year of the requirement.

0:32:56.280 --> 0:32:57.600
<v Speaker 5>Is that going to be the trend? Do you think

0:32:57.680 --> 0:32:59.520
<v Speaker 5>we'll start to see colleges bring it back.

0:33:00.000 --> 0:33:00.640
<v Speaker 3>It's unclear.

0:33:01.440 --> 0:33:05.800
<v Speaker 9>Especially with the Affirnative Action ruling. There's a question of access,

0:33:05.840 --> 0:33:09.000
<v Speaker 9>and everybody knows that wealthier kids tend to do better

0:33:09.080 --> 0:33:13.640
<v Speaker 9>because they have more resources for test prep, they perhaps

0:33:13.640 --> 0:33:16.520
<v Speaker 9>have more time, and so we'll see.

0:33:16.560 --> 0:33:17.959
<v Speaker 2>It's it's been very interesting, you know.

0:33:18.000 --> 0:33:19.960
<v Speaker 9>Harvard announced about a year and a half ago that

0:33:20.000 --> 0:33:21.960
<v Speaker 9>they were going to have a four year moratorium before

0:33:22.000 --> 0:33:24.520
<v Speaker 9>anybody else did, and you kind of think, well, what

0:33:24.560 --> 0:33:27.200
<v Speaker 9>do they know that everybody else doesn't know. And while

0:33:27.240 --> 0:33:30.320
<v Speaker 9>they were, they were preparing for what was the inevitable

0:33:30.400 --> 0:33:32.280
<v Speaker 9>Afferative Action ruling a couple months ago.

0:33:32.480 --> 0:33:34.960
<v Speaker 2>It's getting harder and harder right to run a university system.

0:33:35.040 --> 0:33:38.360
<v Speaker 2>Go back to you were talking about endowments, So what

0:33:38.400 --> 0:33:40.680
<v Speaker 2>are we seeing this year? Because they've had a tough year.

0:33:40.760 --> 0:33:42.960
<v Speaker 9>Yeah, so this year we're hearing you know, eight point

0:33:43.000 --> 0:33:45.280
<v Speaker 9>seven percent, which doesn't sound like a bad year, but

0:33:45.320 --> 0:33:48.480
<v Speaker 9>then you throw in inflation and there's not really a

0:33:48.520 --> 0:33:52.000
<v Speaker 9>lot left and considering last year was on average was

0:33:52.040 --> 0:33:55.800
<v Speaker 9>a minus ten percent return, not such great time. So

0:33:55.840 --> 0:33:57.920
<v Speaker 9>people say, but what are you talking about? Harvard has

0:33:57.960 --> 0:34:01.000
<v Speaker 9>fifty billion dollars. How is that not enough money? Which

0:34:01.040 --> 0:34:03.680
<v Speaker 9>is an excellent point, but they're you know, they're used

0:34:03.720 --> 0:34:06.680
<v Speaker 9>to spending a lot. It's constrained. You know, if you

0:34:06.840 --> 0:34:09.359
<v Speaker 9>get a get a gift for you know, the Yale

0:34:09.440 --> 0:34:11.840
<v Speaker 9>hockey team, you can't spend it on a science building.

0:34:12.640 --> 0:34:15.400
<v Speaker 9>So it'll be interesting to see, you know, we know

0:34:15.480 --> 0:34:18.280
<v Speaker 9>that most of these big endowments are in an alternatives,

0:34:18.320 --> 0:34:20.919
<v Speaker 9>in private equity and hedge funds, and you know, there's

0:34:20.960 --> 0:34:23.800
<v Speaker 9>an influx huge amounts of money chasing the same deals

0:34:23.840 --> 0:34:26.680
<v Speaker 9>and the returns aren't as great. And the smaller endowments

0:34:26.719 --> 0:34:29.440
<v Speaker 9>this year actually did better. Look at the stock market,

0:34:29.440 --> 0:34:31.360
<v Speaker 9>it was up eighteen percent in that same period.

0:34:31.480 --> 0:34:33.880
<v Speaker 5>So when you have a college endowment that doesn't do

0:34:33.960 --> 0:34:36.919
<v Speaker 5>as well as the benchmarks, how does it play out

0:34:36.960 --> 0:34:38.799
<v Speaker 5>when it comes to admissions, How does it play out

0:34:38.800 --> 0:34:41.440
<v Speaker 5>when it comes to investments at the college or university

0:34:41.520 --> 0:34:44.600
<v Speaker 5>makes in terms of expanding the campus and access as well.

0:34:45.239 --> 0:34:47.680
<v Speaker 9>So good question. They are going to say the same

0:34:47.680 --> 0:34:49.480
<v Speaker 9>thing year after year. We don't look at the one

0:34:49.560 --> 0:34:52.000
<v Speaker 9>year return. We're really more concerned at the ten you return.

0:34:52.080 --> 0:34:55.560
<v Speaker 9>But that's also constrained if you look at some of

0:34:55.600 --> 0:34:58.520
<v Speaker 9>the larger schools like Princeton, for example, is a really

0:34:58.560 --> 0:35:02.120
<v Speaker 9>good example. They've had stuff returns year after year, and

0:35:02.239 --> 0:35:04.600
<v Speaker 9>they decided several years ago that they're going to show

0:35:04.600 --> 0:35:08.040
<v Speaker 9>that they're spending their money and they enlarged their class size.

0:35:08.200 --> 0:35:10.800
<v Speaker 9>So I believe we're in the second year where they're enlarging.

0:35:11.560 --> 0:35:15.040
<v Speaker 9>Each freshman class is bigger by several hundred students. They're

0:35:15.040 --> 0:35:17.840
<v Speaker 9>building a brand new campus. If you walk in that school,

0:35:18.000 --> 0:35:21.000
<v Speaker 9>around that campus, there's tons of construction. So they're saying

0:35:21.040 --> 0:35:24.000
<v Speaker 9>to Congress, hey, we recognized we've got a lot of money,

0:35:24.000 --> 0:35:26.520
<v Speaker 9>but look we're spending it because don't forget, they were

0:35:26.600 --> 0:35:32.279
<v Speaker 9>taxed in the Trump techs era twenty seventeen. Endowment's had

0:35:32.320 --> 0:35:35.520
<v Speaker 9>the worst fear was being text and they're still working

0:35:35.520 --> 0:35:36.640
<v Speaker 9>on trying to repeal them.

0:35:36.840 --> 0:35:39.520
<v Speaker 2>Speaking of a tax, we do wonder kind of the impact.

0:35:39.560 --> 0:35:41.000
<v Speaker 2>I don't know if this is apples to apples, but

0:35:41.320 --> 0:35:43.680
<v Speaker 2>what's going to happen as we start to see students

0:35:43.719 --> 0:35:45.480
<v Speaker 2>having to pay back their student loans. Right, there's been

0:35:45.520 --> 0:35:49.520
<v Speaker 2>a moratorium of post pandemic and during the pandemic obviously,

0:35:49.560 --> 0:35:51.200
<v Speaker 2>but that's going to change, and we talk about it

0:35:51.200 --> 0:35:53.120
<v Speaker 2>a lot in terms of the economic impact. You've been

0:35:53.120 --> 0:35:54.160
<v Speaker 2>writing about this as well.

0:35:54.360 --> 0:35:58.799
<v Speaker 9>Yes, So come September first interest starts accruing and come out.

0:35:58.840 --> 0:36:01.759
<v Speaker 9>In October, first students will former students will start to

0:36:01.760 --> 0:36:05.319
<v Speaker 9>see their bills come and it's a big change. After

0:36:05.440 --> 0:36:08.600
<v Speaker 9>three and a half years there has been no interest accruing,

0:36:08.719 --> 0:36:12.880
<v Speaker 9>no debt collection, and the and it's you know, you

0:36:13.239 --> 0:36:15.560
<v Speaker 9>keep this in mind, if the US government was a

0:36:15.560 --> 0:36:17.840
<v Speaker 9>bank it would be the fifth largest bank in America.

0:36:17.960 --> 0:36:20.040
<v Speaker 2>That's the stat that stuck out for US, I think.

0:36:20.600 --> 0:36:24.120
<v Speaker 9>So it's a lot of craziness within the Education Department

0:36:24.200 --> 0:36:27.080
<v Speaker 9>trying to work with their loan services and try to

0:36:27.160 --> 0:36:29.480
<v Speaker 9>let students know how much they're bank and there's so

0:36:29.560 --> 0:36:33.080
<v Speaker 9>many different repayment plans, and it's kind of confusing.

0:36:33.280 --> 0:36:35.680
<v Speaker 5>What's happened to the services over the servicers over the

0:36:35.760 --> 0:36:36.440
<v Speaker 5>last three years.

0:36:36.680 --> 0:36:40.759
<v Speaker 9>So a bunch of them have left and Naveant the

0:36:40.800 --> 0:36:45.320
<v Speaker 9>big one is gone, formerly selling may and and they've

0:36:45.320 --> 0:36:48.520
<v Speaker 9>been consolidated among smaller so it's you know, it's going

0:36:48.719 --> 0:36:52.120
<v Speaker 9>it's kind of confusing when I believe it's at least

0:36:52.120 --> 0:36:54.840
<v Speaker 9>three quarters of students are getting a new loan servicer.

0:36:54.960 --> 0:36:56.840
<v Speaker 9>You know. The bottom line is you've got to be

0:36:56.880 --> 0:36:59.400
<v Speaker 9>in touch with your servicer and not wait and be proactive.

0:36:59.440 --> 0:37:01.320
<v Speaker 2>I feel like when we talk student loans, are we

0:37:01.400 --> 0:37:03.760
<v Speaker 2>talking down because it's all just like Jennas of money.

0:37:03.680 --> 0:37:06.040
<v Speaker 5>They'll find you, you know, That's what I know about

0:37:06.040 --> 0:37:09.560
<v Speaker 5>these these student loan services. They'll find you that's so true.

0:37:09.480 --> 0:37:13.360
<v Speaker 2>Or they'll garnish your wages back to that. It happens,

0:37:14.160 --> 0:37:16.239
<v Speaker 2>all right, thank you. So much. Enjoying the most helping

0:37:16.520 --> 0:37:18.960
<v Speaker 2>Janet Lauren of course at Bloomberg News, Higher Education Finance.

0:37:19.120 --> 0:37:21.320
<v Speaker 2>For for joining us here at the US Open. Carol Masser,

0:37:21.400 --> 0:37:24.279
<v Speaker 2>Tim Stenovic, And this is Bloomberg.

0:37:25.920 --> 0:37:27.600
<v Speaker 6>Brother Marc.

0:37:29.320 --> 0:37:32.000
<v Speaker 1>A journal How about you let me drive?

0:37:32.280 --> 0:37:36.160
<v Speaker 5>Oh no, no, no, no, please going to drive, honey, please,

0:37:36.280 --> 0:37:37.759
<v Speaker 5>I'll do gravels.

0:37:38.160 --> 0:37:39.560
<v Speaker 1>Let's wat I want to drive.

0:37:41.800 --> 0:37:42.720
<v Speaker 9>It's a good question.

0:37:43.440 --> 0:37:49.120
<v Speaker 5>Try This is the drive to the Globes dot com.

0:37:49.600 --> 0:37:52.879
<v Speaker 1>Think we'll buy around on Bloomberg Radio.

0:37:54.320 --> 0:37:56.400
<v Speaker 2>All right, everybody's just about eighteen minutes left to go

0:37:56.520 --> 0:37:58.800
<v Speaker 2>until we wrap up the Thursday trade and ice breeze

0:37:59.000 --> 0:38:02.280
<v Speaker 2>blowing through us here at the US Open. And delighted

0:38:02.280 --> 0:38:04.600
<v Speaker 2>to have with us to talk about the trade. Bill Stone,

0:38:04.640 --> 0:38:08.160
<v Speaker 2>chief investment officer at Glenview Trust Company. Nice to have

0:38:08.280 --> 0:38:08.840
<v Speaker 2>you back with us.

0:38:09.000 --> 0:38:10.120
<v Speaker 6>Thanks for having me, Nice to be there.

0:38:10.160 --> 0:38:10.839
<v Speaker 2>What should we talk tennis?

0:38:10.840 --> 0:38:12.080
<v Speaker 5>Should we talk about tennis?

0:38:12.200 --> 0:38:15.040
<v Speaker 2>What's what? What can you actually predict who's gonna win

0:38:15.360 --> 0:38:16.360
<v Speaker 2>or where the markets.

0:38:16.120 --> 0:38:16.520
<v Speaker 3>Are gonna go?

0:38:16.760 --> 0:38:20.040
<v Speaker 6>I can do neither. You know, I was always a

0:38:20.080 --> 0:38:22.959
<v Speaker 6>feederer guy, so you know, now I have to find

0:38:23.000 --> 0:38:25.880
<v Speaker 6>a new you know, who's it gonna do? I don't know.

0:38:26.120 --> 0:38:27.480
<v Speaker 5>I got some ideas.

0:38:28.880 --> 0:38:30.840
<v Speaker 6>I think I'm since I'm old, I'm gonna pull for

0:38:30.920 --> 0:38:33.120
<v Speaker 6>the old guys and go, you know, Djokovic for now

0:38:33.280 --> 0:38:35.799
<v Speaker 6>while he's here. And but you know, it's really nice

0:38:35.800 --> 0:38:38.240
<v Speaker 6>to watch Alcaraz. It's nice to see some new faces

0:38:38.280 --> 0:38:38.520
<v Speaker 6>on me.

0:38:39.160 --> 0:38:39.680
<v Speaker 5>He's still here.

0:38:39.800 --> 0:38:41.160
<v Speaker 6>I just watched them for a little while.

0:38:41.520 --> 0:38:42.200
<v Speaker 5>Yeah, that was good.

0:38:43.080 --> 0:38:46.600
<v Speaker 6>Isner unfortunately knocked out, but enjoyed seeing him in his

0:38:46.760 --> 0:38:51.080
<v Speaker 6>last her Ah. So you know, Tafo, Yeah, this is

0:38:51.120 --> 0:38:53.319
<v Speaker 6>good to watch. I love tennis, so I can watch

0:38:53.320 --> 0:38:55.600
<v Speaker 6>pretty much anything if it's you know, good tennis.

0:38:56.840 --> 0:39:00.440
<v Speaker 2>Powell, you know, because a dead concert. I'm not sure

0:39:00.440 --> 0:39:03.640
<v Speaker 2>if he plays tennis. I don't know that. You know,

0:39:03.880 --> 0:39:05.279
<v Speaker 2>we kind of make a joke out of it. I

0:39:05.320 --> 0:39:06.960
<v Speaker 2>know it's important in terms of what the Fed does,

0:39:07.040 --> 0:39:10.360
<v Speaker 2>but on any give a day, the thinking around monetary

0:39:10.400 --> 0:39:13.160
<v Speaker 2>policy where rates go can change in a heartbeat. So

0:39:13.600 --> 0:39:16.120
<v Speaker 2>for investors, what do you think is really constructive to

0:39:16.200 --> 0:39:16.680
<v Speaker 2>focus on?

0:39:18.560 --> 0:39:22.440
<v Speaker 6>So I just try and figure out or think about

0:39:23.360 --> 0:39:26.000
<v Speaker 6>how sticky this inflation is going to be, you know,

0:39:26.080 --> 0:39:28.760
<v Speaker 6>I mean you can cut it a million different ways. Actually,

0:39:28.840 --> 0:39:30.800
<v Speaker 6>maybe you asked me a question, what's constructive I'm not

0:39:30.840 --> 0:39:33.040
<v Speaker 6>sure that's constructive, but that's what I spend time thinking

0:39:33.080 --> 0:39:35.279
<v Speaker 6>about because I'm I just try and figure out, well,

0:39:35.680 --> 0:39:39.040
<v Speaker 6>you know, the market's pricing in no more hikes. To me,

0:39:39.239 --> 0:39:42.200
<v Speaker 6>it seems hard. I actually think we have at least.

0:39:42.120 --> 0:39:44.040
<v Speaker 5>One more hike and maybe more in Why Why do

0:39:44.080 --> 0:39:44.320
<v Speaker 5>you think that?

0:39:44.920 --> 0:39:47.799
<v Speaker 6>Because I just think, well, and it all goes We'll

0:39:47.920 --> 0:39:51.120
<v Speaker 6>keep preluding the job the jobs report tomorrow, But I

0:39:51.440 --> 0:39:54.759
<v Speaker 6>just think that it's hard for wages to come down

0:39:55.200 --> 0:39:58.080
<v Speaker 6>enough to then help out on kind of core inflation.

0:39:58.280 --> 0:39:58.760
<v Speaker 2>It's sticky.

0:39:59.000 --> 0:40:02.000
<v Speaker 6>Yeah, that's the last piece really, you know, because he

0:40:02.080 --> 0:40:04.880
<v Speaker 6>talked about it in his speech, how that is at

0:40:04.960 --> 0:40:08.440
<v Speaker 6>Jackson Hole where you know you're seeing some help a

0:40:08.480 --> 0:40:11.919
<v Speaker 6>lot of other places, but wages yet still aren't there,

0:40:12.160 --> 0:40:14.560
<v Speaker 6>and you know, maybe housing is picking back up again.

0:40:14.680 --> 0:40:17.799
<v Speaker 6>It's it's it is a I thought about it this morning,

0:40:17.840 --> 0:40:20.879
<v Speaker 6>and it seems as challenging as ever to figure out

0:40:20.880 --> 0:40:22.719
<v Speaker 6>where we're at because you're at a point where then

0:40:22.960 --> 0:40:24.680
<v Speaker 6>you also have to keep in mind, I mean, lately

0:40:24.719 --> 0:40:27.400
<v Speaker 6>we've gotten economic data that's just accelerating, right, I mean

0:40:27.440 --> 0:40:29.600
<v Speaker 6>you you probably have to pencil in three and a

0:40:29.680 --> 0:40:33.360
<v Speaker 6>half percent real growth here for the third quarter, not

0:40:33.480 --> 0:40:34.920
<v Speaker 6>that I don't think it's gonna come off from there,

0:40:35.000 --> 0:40:36.040
<v Speaker 6>but still so you.

0:40:36.000 --> 0:40:38.600
<v Speaker 2>Don't buy it what the Atlanta fet is predicting. It's

0:40:38.600 --> 0:40:39.560
<v Speaker 2>a little bit more aggressive.

0:40:39.719 --> 0:40:41.600
<v Speaker 6>Yeah, not quite that high, but because I think it

0:40:41.719 --> 0:40:43.880
<v Speaker 6>come off, but still three and a half. I mean,

0:40:44.080 --> 0:40:46.600
<v Speaker 6>how do you think inflations should slow down a lot

0:40:46.640 --> 0:40:47.600
<v Speaker 6>when you're growing that fast?

0:40:47.640 --> 0:40:50.080
<v Speaker 2>I was thinking about the conversation we had yesterday with

0:40:50.239 --> 0:40:54.080
<v Speaker 2>Andy Brown and this whole concept that who'd have thunk

0:40:54.640 --> 0:40:57.360
<v Speaker 2>that the US economy would be growing faster than the

0:40:57.440 --> 0:41:00.760
<v Speaker 2>Chinese economy. That's pretty remarkable, yeah, terms of the metrics

0:41:00.800 --> 0:41:01.640
<v Speaker 2>and things that are going on.

0:41:02.560 --> 0:41:04.840
<v Speaker 6>Yeah, And I mean it just shows you, you know,

0:41:05.080 --> 0:41:07.640
<v Speaker 6>again why everyone keeps looking at the at the job markets.

0:41:07.640 --> 0:41:09.640
<v Speaker 6>As long as Americans have jobs, they like to spend,

0:41:10.000 --> 0:41:12.560
<v Speaker 6>and as long as they spend, the economy keeps jugging along,

0:41:12.719 --> 0:41:14.920
<v Speaker 6>you know, for all of our challenges. That's kind of

0:41:14.960 --> 0:41:16.560
<v Speaker 6>the simple calculus of it.

0:41:16.880 --> 0:41:17.000
<v Speaker 9>All.

0:41:17.080 --> 0:41:19.080
<v Speaker 5>Right, Well, let's talk a little more about just what

0:41:19.280 --> 0:41:21.200
<v Speaker 5>what August looked like. We thought for a while that

0:41:21.280 --> 0:41:22.319
<v Speaker 5>it was kind to be going to be the doll

0:41:22.360 --> 0:41:24.399
<v Speaker 5>drums of August, but looks like we're going to finish

0:41:24.440 --> 0:41:26.000
<v Speaker 5>the month down on the S and P five hundred

0:41:26.000 --> 0:41:28.319
<v Speaker 5>by only one point four percent, given that we were

0:41:28.360 --> 0:41:31.320
<v Speaker 5>down last week by what negative five point five percent,

0:41:31.600 --> 0:41:34.239
<v Speaker 5>that's pretty remarkable to see. In the short term, Where

0:41:34.239 --> 0:41:37.719
<v Speaker 5>do you see the markets going well? I mean, you

0:41:37.800 --> 0:41:39.040
<v Speaker 5>laugh like you know the answer.

0:41:39.120 --> 0:41:41.440
<v Speaker 6>I don't know the answer, but I do think that

0:41:41.600 --> 0:41:43.000
<v Speaker 6>the good news is that Bill.

0:41:42.880 --> 0:41:44.600
<v Speaker 2>I don't know if you know about your chief investment

0:41:44.640 --> 0:41:47.720
<v Speaker 2>officer at Glenday, your trust. I hope your bosses aren't listening.

0:41:48.880 --> 0:41:51.239
<v Speaker 5>This is your job, quick, Bill, make something up.

0:41:51.320 --> 0:41:53.239
<v Speaker 6>I forgot my magic coin that I flip.

0:41:54.040 --> 0:41:56.480
<v Speaker 2>But this is what you do. You have you have

0:41:56.640 --> 0:42:00.000
<v Speaker 2>to figure out right for your clients. So what is investment?

0:42:00.600 --> 0:42:01.680
<v Speaker 2>What's actionable?

0:42:02.320 --> 0:42:02.520
<v Speaker 5>Well?

0:42:02.560 --> 0:42:06.120
<v Speaker 6>I mean I do think earnings have probably bottomed, so,

0:42:06.560 --> 0:42:08.520
<v Speaker 6>you know, I think that is a positive for the

0:42:08.560 --> 0:42:10.839
<v Speaker 6>stock side of the equation. You know, I'd probably lean

0:42:11.280 --> 0:42:14.720
<v Speaker 6>a little bit more towards some of the less cyclical things.

0:42:14.880 --> 0:42:17.480
<v Speaker 6>Some of the more stapleish kind of stuff that's been

0:42:17.920 --> 0:42:20.080
<v Speaker 6>hasn't done nearly as well, you know, because you've got

0:42:20.120 --> 0:42:21.880
<v Speaker 6>the AI stuff that's just been on fire.

0:42:22.880 --> 0:42:24.479
<v Speaker 2>Do you know how many times we're gonna talk AI?

0:42:24.840 --> 0:42:26.719
<v Speaker 2>I feel like today in terms of the convert.

0:42:26.920 --> 0:42:29.520
<v Speaker 5>Even the sponsors are getting at AI, he us is

0:42:29.520 --> 0:42:30.120
<v Speaker 5>getting at AI.

0:42:30.480 --> 0:42:32.920
<v Speaker 6>I mean, it really has dominated the returns. Obviously, you

0:42:33.000 --> 0:42:33.960
<v Speaker 6>know that it is there.

0:42:34.040 --> 0:42:34.439
<v Speaker 5>There there.

0:42:34.920 --> 0:42:36.480
<v Speaker 6>I think in the long run there is I just

0:42:36.560 --> 0:42:40.080
<v Speaker 6>sit there and worry that, you know, you just like

0:42:40.200 --> 0:42:41.640
<v Speaker 6>we saw it that I've been around long enough to

0:42:41.719 --> 0:42:44.759
<v Speaker 6>been for the for the tech bubble, there wasn't there there, right,

0:42:44.920 --> 0:42:47.319
<v Speaker 6>clearly the Internet it's a big deal, but it wasn't

0:42:47.800 --> 0:42:50.640
<v Speaker 6>com Yeah, you're right, so you have to separate them out.

0:42:51.480 --> 0:42:54.200
<v Speaker 6>But also things get overdone a lot of times, or

0:42:55.320 --> 0:42:59.040
<v Speaker 6>speed video overdone. I will say we luckily owned it

0:42:59.160 --> 0:43:00.920
<v Speaker 6>this year, just art the year. We've owned it for

0:43:01.000 --> 0:43:03.520
<v Speaker 6>quite a while actually, so we're very happy. But we've

0:43:03.600 --> 0:43:07.320
<v Speaker 6>trimmed it a bit because it's just tough it, you know.

0:43:07.760 --> 0:43:09.720
<v Speaker 2>But you haven't sold out of it, No, we haven't.

0:43:09.960 --> 0:43:11.359
<v Speaker 6>And I think part of the issue is you can

0:43:11.440 --> 0:43:13.960
<v Speaker 6>make a good case if it continue to grow anywhere

0:43:14.000 --> 0:43:18.520
<v Speaker 6>near that pace. Obviously it's not expensive, but that's a

0:43:18.560 --> 0:43:20.719
<v Speaker 6>hard call. I mean, I've you know, I've listened to

0:43:20.719 --> 0:43:22.680
<v Speaker 6>all the experts on it, and you know, I think

0:43:22.800 --> 0:43:23.120
<v Speaker 6>I like.

0:43:23.160 --> 0:43:26.799
<v Speaker 2>Holding some and they've actually been the numbers they are

0:43:27.280 --> 0:43:30.040
<v Speaker 2>showing up in terms of their growth numbers, right and

0:43:30.080 --> 0:43:30.640
<v Speaker 2>their outlooks.

0:43:30.680 --> 0:43:32.440
<v Speaker 6>Yeah, I mean they're kind of the one firm I

0:43:32.560 --> 0:43:35.080
<v Speaker 6>think that you can say has actually made money from

0:43:35.120 --> 0:43:37.280
<v Speaker 6>AI so far. I mean everyone else kind of talks

0:43:37.320 --> 0:43:40.239
<v Speaker 6>about it, but but there's not actually necessarily cash in

0:43:40.280 --> 0:43:42.040
<v Speaker 6>the till from it yet.

0:43:42.760 --> 0:43:43.440
<v Speaker 5>I think it'll come.

0:43:44.440 --> 0:43:46.600
<v Speaker 2>Tim And I often say, you've got some new client

0:43:46.640 --> 0:43:50.040
<v Speaker 2>comes to you institutional or a wealthy client and said,

0:43:50.160 --> 0:43:51.440
<v Speaker 2>you know, here's a you know, we've got some money

0:43:51.480 --> 0:43:52.800
<v Speaker 2>we want to put to work. How do you do

0:43:52.840 --> 0:43:54.920
<v Speaker 2>it this environment, especially in an environment where you look

0:43:54.920 --> 0:43:56.960
<v Speaker 2>at treasuries and I can put it there, make a

0:43:57.000 --> 0:44:00.560
<v Speaker 2>decent healed and with not much risk. But what would

0:44:00.600 --> 0:44:02.920
<v Speaker 2>you suggest? And I realize long term I get it,

0:44:03.680 --> 0:44:04.239
<v Speaker 2>But what do you do?

0:44:04.480 --> 0:44:06.240
<v Speaker 6>Yeah, I mean we own a lot of T bills

0:44:06.280 --> 0:44:08.640
<v Speaker 6>at the moment, you know, and mixed with stocks, so

0:44:08.719 --> 0:44:09.160
<v Speaker 6>we kind.

0:44:09.080 --> 0:44:12.640
<v Speaker 2>Of two three, five, long term or shorter end on

0:44:12.719 --> 0:44:13.400
<v Speaker 2>the stock the.

0:44:13.400 --> 0:44:16.279
<v Speaker 6>Bills, Yeah, bills, a lot of bills. Because part of

0:44:16.320 --> 0:44:18.200
<v Speaker 6>it is we think about it. We say, well, we

0:44:18.400 --> 0:44:21.399
<v Speaker 6>generally have a good slog of stocks, so we think

0:44:21.400 --> 0:44:24.600
<v Speaker 6>of those, you know, long duration assets we get paid.

0:44:24.800 --> 0:44:27.080
<v Speaker 6>You know, we're okay holding some short duration assets on

0:44:27.120 --> 0:44:29.160
<v Speaker 6>the other side. Plus, you know, you heard my kind

0:44:29.160 --> 0:44:32.040
<v Speaker 6>of view that maybe inflation's a little stickier than they

0:44:32.080 --> 0:44:34.080
<v Speaker 6>think it's going to be. So that's also tilted us

0:44:34.120 --> 0:44:36.920
<v Speaker 6>towards staying towards the lower end of the duration, which

0:44:36.920 --> 0:44:39.839
<v Speaker 6>has worked out really well. I mean it in terms

0:44:39.880 --> 0:44:41.240
<v Speaker 6>of you know, relative.

0:44:41.000 --> 0:44:43.640
<v Speaker 5>What about cash right now? Are you guys have a

0:44:43.680 --> 0:44:45.600
<v Speaker 5>good portion and finds of a good portion in money

0:44:45.600 --> 0:44:47.640
<v Speaker 5>market funds? You can get over five percent there too. Yeah.

0:44:47.680 --> 0:44:49.160
<v Speaker 6>I mean it's i'd say the same thing, you know,

0:44:49.239 --> 0:44:52.240
<v Speaker 6>T bills cash that's interchangeable essentially.

0:44:52.360 --> 0:44:54.440
<v Speaker 5>Yeah, I mean what what percentage do you think is

0:44:54.480 --> 0:44:56.480
<v Speaker 5>a typical account with you in terms of cash? I mean,

0:44:56.560 --> 0:44:58.399
<v Speaker 5>is there I guess my question is is there still

0:44:58.440 --> 0:44:59.440
<v Speaker 5>a lot on the sidelines?

0:44:59.520 --> 0:44:59.680
<v Speaker 10>Yeah?

0:45:01.000 --> 0:45:03.279
<v Speaker 6>I mean, i'd say our firm, there's generally a lot

0:45:03.320 --> 0:45:05.880
<v Speaker 6>on the sidelines. But that's the normal for us because

0:45:05.920 --> 0:45:09.279
<v Speaker 6>we're all ultra high networth high net worth primarily.

0:45:08.960 --> 0:45:13.400
<v Speaker 5>So, Dave, we generally have a lot of catt.

0:45:12.600 --> 0:45:14.080
<v Speaker 6>Thank you so much, Thank you, thanks for having me.

0:45:14.200 --> 0:45:15.759
<v Speaker 2>Good to have you here. Go watch some more tun

0:45:15.800 --> 0:45:17.600
<v Speaker 2>on Chief Investment officer.

0:45:17.480 --> 0:45:20.040
<v Speaker 6>Just reminding me a great job with the weather.

0:45:20.120 --> 0:45:21.040
<v Speaker 5>By the way, thank you.

0:45:21.120 --> 0:45:25.160
<v Speaker 2>We we a BND you trust company. Of course, folks,

0:45:25.239 --> 0:45:27.320
<v Speaker 2>we just have about ten minutes left in today's trading session.

0:45:27.440 --> 0:45:30.880
<v Speaker 2>S and P five hundred just call it unchanged. The

0:45:30.960 --> 0:45:32.840
<v Speaker 2>Dow just down about one hundred and ten. The NASDAK

0:45:32.880 --> 0:45:35.120
<v Speaker 2>I gave him about sixty points. You are listening and

0:45:35.239 --> 0:45:37.800
<v Speaker 2>watching Bloomberg Business Week Carol Master Long with Tim Steenevik

0:45:37.880 --> 0:45:41.279
<v Speaker 2>live at the US Open. This is Bloomberg. You okay

0:45:41.320 --> 0:45:43.120
<v Speaker 2>with that, buddy yet?

0:45:44.400 --> 0:45:48.200
<v Speaker 1>This is the Bloomberg Business Week podcast of a Little Apple,

0:45:48.440 --> 0:45:51.919
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