WEBVTT - Governors Talk Affordability; AI Complicates Dating

0:00:00.080 --> 0:00:10.200
<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News. Welcome to the Bloomberg

0:00:10.280 --> 0:00:15.960
<v Speaker 1>This Weekend podcast with David Gura, Christina Raffini, and Lisa Matteo.

0:00:17.720 --> 0:00:20.600
<v Speaker 2>Thanks for joining us for today's selection of conversations from

0:00:20.640 --> 0:00:21.000
<v Speaker 2>the show.

0:00:21.200 --> 0:00:23.479
<v Speaker 3>You can listen to our favorite discussions right here on

0:00:23.520 --> 0:00:25.800
<v Speaker 3>the podcast, and also make sure to join us live

0:00:25.960 --> 0:00:28.960
<v Speaker 3>every Saturday and Sunday morning starting at seven am Easter.

0:00:29.200 --> 0:00:32.800
<v Speaker 4>We're on Bloomberg Television, Radio and the Bloomberg Business App,

0:00:33.080 --> 0:00:37.640
<v Speaker 4>bringing you unique takes and in depth interviews on news, politics,

0:00:37.680 --> 0:00:41.000
<v Speaker 4>lifestyle and culture.

0:00:41.680 --> 0:00:43.640
<v Speaker 3>Now for our exclusive sit down interview with the heads

0:00:43.640 --> 0:00:47.840
<v Speaker 3>of the National Governors Association. Two Republicans, two Democrats, two

0:00:47.880 --> 0:00:50.040
<v Speaker 3>ten gallon hats between the four of them, joining Bloomberg

0:00:50.080 --> 0:00:52.920
<v Speaker 3>this weekend on Saturday to announce a bipartisan task force

0:00:53.120 --> 0:00:54.840
<v Speaker 3>designed to tackle immigration reform.

0:00:54.880 --> 0:00:56.080
<v Speaker 2>I will say they did share the hats at our

0:00:56.120 --> 0:00:59.520
<v Speaker 2>previous clip. Governor Spencer Cox of you Tap, Wesmore of Maryland,

0:00:59.680 --> 0:01:02.720
<v Speaker 2>Kevin did of Oklahoma, and Matt Meyer of Delaware.

0:01:02.440 --> 0:01:03.000
<v Speaker 5>Take a listen.

0:01:03.880 --> 0:01:07.680
<v Speaker 6>We get elected. We always say that the governors really

0:01:08.000 --> 0:01:13.560
<v Speaker 6>can't be that partisan, because potholes aren't partisan. We actually

0:01:13.560 --> 0:01:16.280
<v Speaker 6>get judged by what we accomplish. We get held accountable

0:01:16.319 --> 0:01:20.559
<v Speaker 6>for that. So unlike Congress, we have to do those things.

0:01:20.600 --> 0:01:23.720
<v Speaker 6>And there's this cool thing we're celebrating America to fifty.

0:01:23.720 --> 0:01:25.119
<v Speaker 7>But the way our country.

0:01:24.840 --> 0:01:27.959
<v Speaker 6>Was set up, most of the power was left to

0:01:28.000 --> 0:01:30.600
<v Speaker 6>the states, not to the federal government. That's certainly changed

0:01:30.600 --> 0:01:32.920
<v Speaker 6>over the years. Unfortunately, we think that that's one of

0:01:32.959 --> 0:01:37.200
<v Speaker 6>the problems. But here's I think why this really matters

0:01:37.200 --> 0:01:39.720
<v Speaker 6>and should matter to all Americans is that we are

0:01:39.720 --> 0:01:43.520
<v Speaker 6>the laboratories of democracy. So if a blue state comes

0:01:43.600 --> 0:01:45.760
<v Speaker 6>up with a new policy that solves a problem in

0:01:45.800 --> 0:01:47.680
<v Speaker 6>their state, I'm going to steal that.

0:01:48.480 --> 0:01:50.400
<v Speaker 7>I want the best for my people. It goes the

0:01:50.440 --> 0:01:51.000
<v Speaker 7>other way around.

0:01:51.040 --> 0:01:54.880
<v Speaker 6>We were just talking about Mississippi today and they're reading scores,

0:01:54.920 --> 0:01:56.040
<v Speaker 6>the third grade reading scores.

0:01:56.080 --> 0:01:57.080
<v Speaker 7>They went from forty.

0:01:56.880 --> 0:01:59.560
<v Speaker 6>Nine to top ten, and all of us looked around

0:01:59.600 --> 0:02:03.360
<v Speaker 6>and said, hey, yeah, what is Mississippi doing. We should

0:02:03.360 --> 0:02:05.360
<v Speaker 6>copy that. And so almost all of us, I think,

0:02:05.400 --> 0:02:08.520
<v Speaker 6>have adopted some portion of Mississippi's policies around the science

0:02:08.560 --> 0:02:12.880
<v Speaker 6>of reading. That's why governors and mayors are I think

0:02:12.919 --> 0:02:13.600
<v Speaker 6>more popular.

0:02:14.320 --> 0:02:16.840
<v Speaker 7>There's a little more trust. Although we're all struggling with

0:02:16.840 --> 0:02:17.480
<v Speaker 7>that right now.

0:02:17.960 --> 0:02:20.280
<v Speaker 6>But we're lucky to have these events where we can

0:02:20.320 --> 0:02:21.560
<v Speaker 6>get together and learn from each other.

0:02:22.000 --> 0:02:23.640
<v Speaker 8>I can tell you I took it a step further

0:02:23.960 --> 0:02:26.640
<v Speaker 8>where we saw what was happening in Mississippi. We didn't

0:02:26.680 --> 0:02:30.320
<v Speaker 8>just copy the model. We actually told our superintendent who's

0:02:30.320 --> 0:02:32.359
<v Speaker 8>now the superintendent of the state of Maryland. So it's

0:02:32.360 --> 0:02:33.640
<v Speaker 8>now becoming the Maryland model.

0:02:34.440 --> 0:02:36.120
<v Speaker 5>I don't know if I want to encourage that.

0:02:39.560 --> 0:02:42.480
<v Speaker 2>No poaching people, guys, everybody playing nice in the sandbox

0:02:43.520 --> 0:02:46.679
<v Speaker 2>governors did when you talk to constituents, what is the

0:02:46.800 --> 0:02:49.320
<v Speaker 2>number one issue, number one or two issues that they

0:02:49.320 --> 0:02:51.760
<v Speaker 2>talked to you about? And have you found when you

0:02:51.760 --> 0:02:53.520
<v Speaker 2>go to the NNGA, when you talk to your colleagues

0:02:53.560 --> 0:02:56.080
<v Speaker 2>that those are common pretty much about across all the

0:02:56.120 --> 0:02:56.920
<v Speaker 2>states right now?

0:02:59.320 --> 0:03:02.160
<v Speaker 9>Yeah, I mean I tell people all the time and

0:03:02.320 --> 0:03:04.440
<v Speaker 9>every year of my I've been governor now for eight

0:03:04.520 --> 0:03:05.919
<v Speaker 9>years and it hasn't changed.

0:03:05.960 --> 0:03:08.560
<v Speaker 7>I mean, I believe that whether you live in rural.

0:03:08.400 --> 0:03:11.919
<v Speaker 9>Oklahoma or urban Oklahoma, you want the same thing, whether

0:03:11.919 --> 0:03:15.160
<v Speaker 9>you're Republican or Democrat, you really want the best education

0:03:15.240 --> 0:03:17.160
<v Speaker 9>for your kids, the best opportunity.

0:03:17.280 --> 0:03:18.320
<v Speaker 7>I want to make sure I put my.

0:03:18.400 --> 0:03:20.800
<v Speaker 9>Kids in the best situation possible so.

0:03:20.720 --> 0:03:22.240
<v Speaker 7>They can chase their American dream.

0:03:22.480 --> 0:03:25.080
<v Speaker 9>I want the best access to healthcare. I want the

0:03:25.120 --> 0:03:28.959
<v Speaker 9>best roads and bridges and infrastructure and utility cost. And

0:03:29.000 --> 0:03:31.239
<v Speaker 9>then I want the best economy. I want wages to growth.

0:03:31.240 --> 0:03:34.280
<v Speaker 9>I want opportunities for upward mobility. And so those four

0:03:34.360 --> 0:03:38.160
<v Speaker 9>things are non political, and I always tell Oklahomas, Hey,

0:03:38.680 --> 0:03:42.640
<v Speaker 9>let DC play politics. We're all Oklahomas. Let's make Oklahoma

0:03:42.720 --> 0:03:44.480
<v Speaker 9>top ten. And so I focus on those things. And

0:03:44.480 --> 0:03:46.280
<v Speaker 9>I don't think it's any different when I meet with

0:03:46.760 --> 0:03:49.880
<v Speaker 9>my colleagues around the country. They're dealing with the exact

0:03:49.920 --> 0:03:53.360
<v Speaker 9>same things in their state. So it's those four things

0:03:53.400 --> 0:03:54.160
<v Speaker 9>I always focus on.

0:03:54.280 --> 0:03:58.280
<v Speaker 10>People are starving for government that delivers, for people that delivers.

0:03:58.560 --> 0:04:02.360
<v Speaker 10>There's so much nonsense out there, not just in politics

0:04:02.360 --> 0:04:04.920
<v Speaker 10>and government, but everywhere, and I think people are just

0:04:05.000 --> 0:04:07.800
<v Speaker 10>looking for people they elect to roll up their sleeves

0:04:07.880 --> 0:04:10.680
<v Speaker 10>and get actual, real work done to help educate their kids,

0:04:11.280 --> 0:04:14.600
<v Speaker 10>deal with childcare, the costs that I have three kids,

0:04:14.760 --> 0:04:17.560
<v Speaker 10>one more on the way, and the costs are skyrocketing.

0:04:17.600 --> 0:04:20.040
<v Speaker 10>Making sure when you go and get gas it's affordable,

0:04:20.240 --> 0:04:23.039
<v Speaker 10>and so that's really what we're spending time on all day.

0:04:23.080 --> 0:04:25.160
<v Speaker 10>You look at the national news and things people are

0:04:25.160 --> 0:04:28.920
<v Speaker 10>fighting about. Most of what we do our kitchen table issues,

0:04:29.120 --> 0:04:30.760
<v Speaker 10>just trying to make life a little bit easier for

0:04:30.800 --> 0:04:32.560
<v Speaker 10>the people that live in our respective states.

0:04:32.839 --> 0:04:35.680
<v Speaker 6>I would just add the price of housing is a

0:04:35.680 --> 0:04:36.360
<v Speaker 6>big piece of that.

0:04:36.360 --> 0:04:38.400
<v Speaker 7>That's when we hear you do energy too.

0:04:38.480 --> 0:04:41.359
<v Speaker 6>Yeah, all of the consumer costs, that's huge for all

0:04:41.400 --> 0:04:42.000
<v Speaker 6>of us.

0:04:41.839 --> 0:04:42.480
<v Speaker 5>That's funny.

0:04:42.480 --> 0:04:44.080
<v Speaker 2>I was actually just going to say, so obviously, I'm

0:04:44.120 --> 0:04:46.120
<v Speaker 2>here in New York. I moved here recently, and I

0:04:46.120 --> 0:04:48.000
<v Speaker 2>talked about on the show a lot. Everything here is

0:04:48.040 --> 0:04:50.520
<v Speaker 2>insane expensive. But I grew up in Colorado. And I

0:04:50.600 --> 0:04:52.479
<v Speaker 2>was talking to a friend who was a very different

0:04:52.480 --> 0:04:54.440
<v Speaker 2>life than me earlier this week, and she was saying

0:04:54.440 --> 0:04:56.400
<v Speaker 2>the same things I was dealing with. She was like,

0:04:56.720 --> 0:04:58.800
<v Speaker 2>we've gotten to a place in our lives we always

0:04:58.839 --> 0:05:00.560
<v Speaker 2>wanted to be. My husband and I are making the

0:05:00.600 --> 0:05:02.560
<v Speaker 2>money we always wanted to and we feel like we

0:05:02.640 --> 0:05:06.279
<v Speaker 2>can't afford even the basic things. So governor more, I

0:05:06.279 --> 0:05:08.320
<v Speaker 2>want to start with you, but what is your plan

0:05:08.440 --> 0:05:11.000
<v Speaker 2>to tackle affordability? How are you going to tackle this?

0:05:11.080 --> 0:05:12.479
<v Speaker 2>And then I brought it out to the group. What

0:05:12.520 --> 0:05:14.279
<v Speaker 2>are you guys doing to bring these prices down.

0:05:16.279 --> 0:05:18.560
<v Speaker 8>Well, I think one thing that all the governors recognize

0:05:18.680 --> 0:05:21.080
<v Speaker 8>is that, you know, we wish we could control the

0:05:21.120 --> 0:05:24.760
<v Speaker 8>price of gas, you know that, but that's not something

0:05:24.760 --> 0:05:26.239
<v Speaker 8>that governors control.

0:05:26.320 --> 0:05:26.520
<v Speaker 2>You know.

0:05:26.560 --> 0:05:29.400
<v Speaker 8>We know we are seeing how nationwide the price of

0:05:29.800 --> 0:05:33.040
<v Speaker 8>gas has just skyrocket over the over the past twelve weeks.

0:05:33.640 --> 0:05:36.040
<v Speaker 8>We see how, you know, we wish we could control.

0:05:35.839 --> 0:05:37.320
<v Speaker 7>The price of groceries.

0:05:37.680 --> 0:05:40.320
<v Speaker 8>Unfortunately, we're now seeing how inflation is the highest that

0:05:40.360 --> 0:05:42.640
<v Speaker 8>it's been in three years, and so you're watching the

0:05:42.680 --> 0:05:44.880
<v Speaker 8>price of groceries continue to go up. And so there

0:05:44.880 --> 0:05:47.960
<v Speaker 8>are certain factors that that as governors, we don't control

0:05:48.000 --> 0:05:50.400
<v Speaker 8>the fact that things continue to rise, but we can

0:05:50.440 --> 0:05:51.880
<v Speaker 8>control the things we can control.

0:05:52.120 --> 0:05:53.360
<v Speaker 7>So, for example, when.

0:05:53.200 --> 0:05:56.200
<v Speaker 8>We're talking about best practices that we've seen and that

0:05:56.240 --> 0:05:59.000
<v Speaker 8>as other states we've also brought on board. You know,

0:05:59.120 --> 0:06:01.920
<v Speaker 8>we actually in Maryland we pass legislation that deals with

0:06:01.960 --> 0:06:05.000
<v Speaker 8>the issue of price manipulation at supermarkets, where you know,

0:06:05.080 --> 0:06:08.520
<v Speaker 8>supermarkets and big supermarket chains cannot use your data against

0:06:08.520 --> 0:06:11.200
<v Speaker 8>you when you walk into a supermarket and increase the

0:06:11.240 --> 0:06:14.000
<v Speaker 8>prices because they know that you will pay for the

0:06:14.080 --> 0:06:16.720
<v Speaker 8>increased prices. So we are the first state to actually

0:06:16.760 --> 0:06:19.440
<v Speaker 8>ban price manipulation that when it came to things like

0:06:19.520 --> 0:06:22.560
<v Speaker 8>rising energy prices that we're all wrestling with, you know,

0:06:22.640 --> 0:06:24.840
<v Speaker 8>in our state, and I know other states have done

0:06:24.839 --> 0:06:27.720
<v Speaker 8>the same. We've now put one hundreds of dollars back

0:06:27.760 --> 0:06:30.640
<v Speaker 8>in the pockets of our people in Maryland. You know,

0:06:30.640 --> 0:06:33.159
<v Speaker 8>it's three hundred million dollars that we've now put back

0:06:33.360 --> 0:06:35.480
<v Speaker 8>to the people of Maryland to deal with these rising

0:06:35.640 --> 0:06:39.360
<v Speaker 8>energy prices. And so we're making sure we can control

0:06:39.680 --> 0:06:42.880
<v Speaker 8>the things we can control, making historic investments in childcare,

0:06:43.160 --> 0:06:45.400
<v Speaker 8>as Matt was talking about, because that is one of

0:06:45.440 --> 0:06:47.840
<v Speaker 8>the largest costs that families are dealing with, whether they're

0:06:47.839 --> 0:06:50.159
<v Speaker 8>now having to choose between are my kids going to

0:06:50.200 --> 0:06:50.599
<v Speaker 8>be okay?

0:06:50.800 --> 0:06:52.880
<v Speaker 7>Or can I go back into the workforce.

0:06:53.120 --> 0:06:55.960
<v Speaker 8>And so we're making sure as governors that while we

0:06:56.040 --> 0:06:58.640
<v Speaker 8>cannot control a lot of the dynamics that are existing

0:06:59.000 --> 0:07:01.640
<v Speaker 8>within our states, the things that we can control to

0:07:01.680 --> 0:07:03.960
<v Speaker 8>make life a little bit easier for the people of

0:07:03.960 --> 0:07:05.720
<v Speaker 8>our states, we can and we will.

0:07:07.240 --> 0:07:09.240
<v Speaker 2>Does anybody else want to get to anything any other

0:07:09.279 --> 0:07:11.960
<v Speaker 2>specific policies that y'all want to highlight that you are

0:07:11.960 --> 0:07:13.880
<v Speaker 2>trying to do, either on housing or I know, energy

0:07:13.920 --> 0:07:16.200
<v Speaker 2>is a big concern, especially with data centers going in

0:07:16.400 --> 0:07:19.640
<v Speaker 2>a bunch of places, food costs, childcare, of any of

0:07:19.680 --> 0:07:21.920
<v Speaker 2>the policies that come to mind that you're trying to

0:07:22.320 --> 0:07:23.200
<v Speaker 2>enact in your states.

0:07:24.840 --> 0:07:27.440
<v Speaker 7>Well, you know, I think we all want to do

0:07:28.280 --> 0:07:29.920
<v Speaker 7>all right, keep.

0:07:29.800 --> 0:07:31.800
<v Speaker 5>Going down the road. But you're grown up, so you

0:07:31.840 --> 0:07:33.080
<v Speaker 5>can figure out. All right, thanks guys.

0:07:33.080 --> 0:07:37.400
<v Speaker 9>Good Well, I would just say on housing, we're all

0:07:37.440 --> 0:07:40.480
<v Speaker 9>dealing with affordability. We want you know, home ownership is

0:07:40.520 --> 0:07:43.240
<v Speaker 9>so important. My whole career has been in the mortgage

0:07:43.240 --> 0:07:47.360
<v Speaker 9>business and banking and promoting home ownership and strengthening families

0:07:47.360 --> 0:07:50.080
<v Speaker 9>and how important that is to own homes. And so

0:07:50.360 --> 0:07:52.520
<v Speaker 9>when you see that cost rising and you see people

0:07:52.560 --> 0:07:55.840
<v Speaker 9>delaying housing, perching the first house so they're in their thirties,

0:07:55.880 --> 0:07:59.280
<v Speaker 9>Now what is that? Well, if you believe in economics,

0:07:59.280 --> 0:08:01.920
<v Speaker 9>I believe it's a it's a supply problem, right, So

0:08:01.960 --> 0:08:04.120
<v Speaker 9>how do we get more houses built? Some of that

0:08:04.240 --> 0:08:07.720
<v Speaker 9>is zoning problems. We're not allowing more developers. To me,

0:08:07.880 --> 0:08:10.880
<v Speaker 9>it's always over regulation, right, So we passed a built

0:08:10.880 --> 0:08:15.520
<v Speaker 9>to encourage zero interest loans to developers to develop more houses.

0:08:15.560 --> 0:08:19.000
<v Speaker 9>And then for that they had to produce affordable houses

0:08:19.000 --> 0:08:22.760
<v Speaker 9>for the working families. The Build Act that we did

0:08:23.000 --> 0:08:29.840
<v Speaker 9>allows developers now to burden the cost of utilities, infrastructure

0:08:29.880 --> 0:08:32.520
<v Speaker 9>as far as water sewage instead of back on to

0:08:33.040 --> 0:08:35.880
<v Speaker 9>the municipality. So we're doing everything we can to encourage

0:08:35.920 --> 0:08:39.720
<v Speaker 9>more supply coming in. It's already we're already very affordable

0:08:39.720 --> 0:08:42.600
<v Speaker 9>in Oklahoma, and we're getting tremendous economic development.

0:08:42.600 --> 0:08:43.600
<v Speaker 7>But we want we want more.

0:08:43.679 --> 0:08:47.360
<v Speaker 9>We want to unleash the UH, the innovation of companies

0:08:47.400 --> 0:08:49.319
<v Speaker 9>to go meet the demands of Americans. And I think

0:08:49.360 --> 0:08:51.920
<v Speaker 9>that's the best policy, just a free market approach.

0:08:52.600 --> 0:08:53.200
<v Speaker 5>Governor Meyer.

0:08:54.040 --> 0:08:55.800
<v Speaker 2>One of the big things that we were just talking

0:08:55.840 --> 0:08:58.440
<v Speaker 2>about with the big costs is energy, and energy costs

0:08:58.480 --> 0:09:00.880
<v Speaker 2>are really going up, and we're seeing that coincide, of course,

0:09:00.920 --> 0:09:03.679
<v Speaker 2>with these big data centers that are going in all

0:09:03.720 --> 0:09:04.680
<v Speaker 2>across the country.

0:09:04.960 --> 0:09:06.960
<v Speaker 5>I'm wondering if you are hearing from your.

0:09:06.880 --> 0:09:09.480
<v Speaker 2>Constituents that they are concerned about AI, they are concerned

0:09:09.520 --> 0:09:11.800
<v Speaker 2>about the energy draw of these data centers, and what

0:09:11.840 --> 0:09:13.160
<v Speaker 2>you're doing about that in your state.

0:09:15.280 --> 0:09:16.199
<v Speaker 7>I am hearing a lot.

0:09:16.240 --> 0:09:17.600
<v Speaker 10>I think all of us are hearing a lot about

0:09:17.640 --> 0:09:21.520
<v Speaker 10>data centers and the concerns about AI. They run the

0:09:21.559 --> 0:09:27.360
<v Speaker 10>gamut from security concerns, privacy concerns, environmental concerns, and wealth

0:09:27.520 --> 0:09:30.160
<v Speaker 10>inequality concerns, and.

0:09:30.080 --> 0:09:32.319
<v Speaker 7>I think each of us have a different approach.

0:09:33.160 --> 0:09:36.200
<v Speaker 10>We're looking to attract employers in Delaware, where in my

0:09:36.240 --> 0:09:39.120
<v Speaker 10>first eighteen months in office, we've been very successful doing that.

0:09:39.320 --> 0:09:42.280
<v Speaker 10>But I've also been very clear that if you're going

0:09:42.320 --> 0:09:45.400
<v Speaker 10>to negatively impact our environment, if you're going to increase

0:09:45.559 --> 0:09:49.400
<v Speaker 10>rate payers energy bills by a single penny, then we're

0:09:49.400 --> 0:09:51.080
<v Speaker 10>not going to have you here. So we're putting in

0:09:51.120 --> 0:09:54.000
<v Speaker 10>place rules, we're about to finalize them, about to sign

0:09:54.080 --> 0:09:57.520
<v Speaker 10>some legislation that does just that, that says, hey, if

0:09:57.520 --> 0:10:00.200
<v Speaker 10>you want a data center or anything like that in

0:10:00.240 --> 0:10:02.120
<v Speaker 10>our community, you have to come with.

0:10:02.200 --> 0:10:04.160
<v Speaker 7>Benefit for the community.

0:10:04.240 --> 0:10:05.760
<v Speaker 10>I think a number of us that are doing behind

0:10:05.760 --> 0:10:08.280
<v Speaker 10>the meter policies where kind of bring your own energy.

0:10:08.280 --> 0:10:10.839
<v Speaker 10>If you bring your own energy and you're not drawing

0:10:10.840 --> 0:10:14.040
<v Speaker 10>from the grid, it's much easier to get a pathway.

0:10:14.160 --> 0:10:16.920
<v Speaker 10>I think we also understand that data centers and AI

0:10:17.520 --> 0:10:21.520
<v Speaker 10>at some level is a national economic and security imperative.

0:10:21.720 --> 0:10:23.720
<v Speaker 7>We cannot let China win on this one.

0:10:23.800 --> 0:10:26.760
<v Speaker 10>We have to make sure that our respective states aren't

0:10:26.800 --> 0:10:29.679
<v Speaker 10>blocking each other and blocking things so that we as

0:10:29.679 --> 0:10:31.160
<v Speaker 10>a country cannot move forward.

0:10:31.480 --> 0:10:33.840
<v Speaker 2>All right, gentlemen, we're running a little short on time.

0:10:34.200 --> 0:10:36.520
<v Speaker 2>I really appreciate you taking time. Before I let you go,

0:10:36.960 --> 0:10:39.199
<v Speaker 2>I do want to play a game. So if everybody

0:10:39.240 --> 0:10:41.120
<v Speaker 2>could please raise your hand like this. Wait, I have

0:10:41.160 --> 0:10:42.040
<v Speaker 2>to find my camera here.

0:10:42.200 --> 0:10:43.920
<v Speaker 5>Put your hand up. We're going to do. Put a

0:10:43.920 --> 0:10:44.520
<v Speaker 5>finger down.

0:10:44.600 --> 0:10:46.520
<v Speaker 2>If I'm sure you have children or have been on

0:10:46.559 --> 0:10:48.600
<v Speaker 2>the internet and you understand how this works, all right,

0:10:48.640 --> 0:10:51.360
<v Speaker 2>you ready, Please put a finger down. If you are

0:10:51.400 --> 0:10:53.719
<v Speaker 2>concerned about affordability in your state.

0:10:54.559 --> 0:10:55.960
<v Speaker 7>Put a figure down. If you're concerned.

0:10:56.000 --> 0:10:58.520
<v Speaker 2>Yeah, if you're concerned about affordability in a state, put

0:10:58.559 --> 0:10:59.320
<v Speaker 2>one of your fingers down.

0:10:59.320 --> 0:11:00.360
<v Speaker 5>Please put a finger down.

0:11:00.400 --> 0:11:02.680
<v Speaker 2>If you have released a book in the past year,

0:11:02.880 --> 0:11:05.120
<v Speaker 2>or planning to release a book in the coming year.

0:11:11.280 --> 0:11:13.520
<v Speaker 5>All right, that's two out of the floor. Put a

0:11:13.520 --> 0:11:14.000
<v Speaker 5>finger down.

0:11:14.000 --> 0:11:16.120
<v Speaker 2>If you're going to Iowa this year or in the

0:11:16.160 --> 0:11:17.120
<v Speaker 2>next cycle.

0:11:18.320 --> 0:11:20.280
<v Speaker 7>Iowa, old meyer.

0:11:22.160 --> 0:11:25.480
<v Speaker 2>Yeah, the gentleman from Delaware has put a finger down.

0:11:26.200 --> 0:11:28.240
<v Speaker 2>And finally, please put a finger down.

0:11:28.640 --> 0:11:30.040
<v Speaker 7>We're just going to New Hampshire.

0:11:30.559 --> 0:11:37.079
<v Speaker 2>New Hampshire also counts. Okay, dream my final question of

0:11:37.120 --> 0:11:39.800
<v Speaker 2>the day, Please put a finger down. Gentlemen, if you

0:11:39.840 --> 0:11:44.200
<v Speaker 2>are running for president in twenty twenty eight.

0:11:44.040 --> 0:11:46.880
<v Speaker 5>I'm looking. I'm looking all right.

0:11:46.960 --> 0:11:51.240
<v Speaker 2>No one committed, no one committed. Thank you for being

0:11:51.240 --> 0:12:00.640
<v Speaker 2>good sports. I appreciate it. Thank you again with the task.

0:12:00.679 --> 0:12:03.560
<v Speaker 8>I have to say, though, I'm the only one of

0:12:03.600 --> 0:12:07.400
<v Speaker 8>this group who actually has a reelection in less than

0:12:07.440 --> 0:12:10.240
<v Speaker 8>one hundred days, So I'm sweating a whole lot more

0:12:10.280 --> 0:12:11.960
<v Speaker 8>than than my friends are here.

0:12:12.040 --> 0:12:12.400
<v Speaker 5>That's all right.

0:12:12.400 --> 0:12:15.079
<v Speaker 2>If it's a little hot, friends can let you borrow

0:12:15.120 --> 0:12:15.559
<v Speaker 2>a hat.

0:12:16.040 --> 0:12:17.440
<v Speaker 5>Gentlemen, Thank you so much.

0:12:17.800 --> 0:12:19.800
<v Speaker 2>I have a great time with the stockyards. We really

0:12:19.800 --> 0:12:21.200
<v Speaker 2>appreciate you joining us today.

0:12:23.559 --> 0:12:26.560
<v Speaker 3>Stay with us for more on Bloomberg this weekend right

0:12:26.559 --> 0:12:41.840
<v Speaker 3>after this. As artificial intelligence becomes ingrained in everyday life,

0:12:42.120 --> 0:12:46.720
<v Speaker 3>disagreements over the technology are increasingly becoming disagreements over values and.

0:12:46.760 --> 0:12:50.199
<v Speaker 2>The latest Bloomberg Forecast newsletter, Bloomberg News contributor Josie Cox

0:12:50.240 --> 0:12:55.160
<v Speaker 2>explores how AI adoption is dividing friends, families, and coworkers, writing,

0:12:55.200 --> 0:12:59.079
<v Speaker 2>researchers have only just begun to study AI social consequences,

0:12:59.080 --> 0:13:01.839
<v Speaker 2>and there's little impair work examining whether attitudes or the

0:13:01.880 --> 0:13:04.839
<v Speaker 2>technology are becoming part of people's identities.

0:13:05.320 --> 0:13:06.920
<v Speaker 5>I have opinions about that, but I will leave them

0:13:06.960 --> 0:13:07.520
<v Speaker 5>to the expert.

0:13:07.960 --> 0:13:10.640
<v Speaker 2>But interviews with the ai skeptics suggest that for some people,

0:13:10.679 --> 0:13:12.880
<v Speaker 2>AIUS has become a proxy for values.

0:13:13.040 --> 0:13:14.000
<v Speaker 11>Josie Cox joins us.

0:13:14.000 --> 0:13:15.400
<v Speaker 3>Now she sells with the author, I should save the

0:13:15.400 --> 0:13:18.360
<v Speaker 3>book Women, Money Power, The Rise and Fall of Economic Equality.

0:13:18.400 --> 0:13:22.880
<v Speaker 3>Great to have you with us. Let's start with this disagreement.

0:13:22.960 --> 0:13:25.000
<v Speaker 3>We can maybe not to how popular this has become

0:13:25.000 --> 0:13:26.400
<v Speaker 3>and how we're all kind of fumbling through. And I

0:13:26.400 --> 0:13:29.000
<v Speaker 3>think we can acknowledge that what did you find as

0:13:29.040 --> 0:13:31.240
<v Speaker 3>you dug into this in terms of what the personal

0:13:31.320 --> 0:13:33.960
<v Speaker 3>or interpersonal ramifications of this are thus far.

0:13:34.320 --> 0:13:36.640
<v Speaker 12>Yeah, it's so interesting. I mean everyone is familiar, of course,

0:13:36.640 --> 0:13:39.400
<v Speaker 12>with the headlines of just the meteoric rise of ai

0:13:39.640 --> 0:13:42.280
<v Speaker 12>It's doing everything for us. It's in our work lives,

0:13:42.280 --> 0:13:46.440
<v Speaker 12>our personal lives, in our bedrooms, it's everywhere. But what

0:13:46.520 --> 0:13:49.280
<v Speaker 12>I have generally found really interesting is the ways in

0:13:49.320 --> 0:13:53.360
<v Speaker 12>which it's exacerbating divides. Initially I was reporting on the

0:13:53.920 --> 0:13:57.840
<v Speaker 12>gender gap that it was potentially exacerbating men more apt

0:13:57.920 --> 0:13:59.720
<v Speaker 12>to use it. They are more apt to use it.

0:14:00.120 --> 0:14:02.520
<v Speaker 12>Bloomberg a couple of years ago really kind of the

0:14:02.640 --> 0:14:05.959
<v Speaker 12>in the sort of beginnings of AI dominance, showing that

0:14:06.000 --> 0:14:09.040
<v Speaker 12>there was actually quite a stark divide between used rates

0:14:09.040 --> 0:14:11.520
<v Speaker 12>among women and use rates among men. The gap has

0:14:11.520 --> 0:14:13.960
<v Speaker 12>closed a little bit, but that really sort of planted

0:14:13.960 --> 0:14:19.000
<v Speaker 12>the seed of interest, and since then I've been interested in,

0:14:19.360 --> 0:14:22.600
<v Speaker 12>you know, ways in which AI is not only uniting

0:14:22.680 --> 0:14:26.800
<v Speaker 12>us but also dividing us. And so this story really

0:14:26.840 --> 0:14:29.440
<v Speaker 12>came from sort of anecdotal evidence and conversations that I

0:14:29.480 --> 0:14:32.280
<v Speaker 12>was happening with people in my life who were sort

0:14:32.280 --> 0:14:35.040
<v Speaker 12>of vehemently anti AI, and I just thought it was

0:14:35.040 --> 0:14:38.040
<v Speaker 12>really interesting because a lot of people have different reasons

0:14:38.080 --> 0:14:40.200
<v Speaker 12>for being anti AI, for being sort of AI refused

0:14:40.200 --> 0:14:42.120
<v Speaker 12>and ex as I like to call them, you know,

0:14:42.160 --> 0:14:44.960
<v Speaker 12>be that the environment or ethical concerns, or in the

0:14:44.960 --> 0:14:47.440
<v Speaker 12>creative industries, a lot of people are concerned about copyright

0:14:47.480 --> 0:14:51.520
<v Speaker 12>things like that, but ultimately they all sort of tend

0:14:51.520 --> 0:14:54.640
<v Speaker 12>to kind of congregate around this idea of it being

0:14:54.680 --> 0:14:57.400
<v Speaker 12>a bit of an identity, right, and it's sort of

0:14:57.440 --> 0:14:59.960
<v Speaker 12>a you know, as I was reporting the story, I

0:15:00.000 --> 0:15:02.600
<v Speaker 12>realize that it was almost tribal. It was like us

0:15:02.680 --> 0:15:06.480
<v Speaker 12>versus them. Interesting, and I just think it's fascinating to

0:15:06.640 --> 0:15:10.080
<v Speaker 12>kind of consider as AI continues to dominate, continues to

0:15:10.200 --> 0:15:15.000
<v Speaker 12>infiltrate our lives, what that will ultimately mean for workplaces, families, relationships,

0:15:15.000 --> 0:15:15.360
<v Speaker 12>et cetera.

0:15:15.800 --> 0:15:18.400
<v Speaker 2>I am one of those people who gets very surprised

0:15:18.400 --> 0:15:20.600
<v Speaker 2>by the people in my life who have started relying

0:15:20.600 --> 0:15:23.360
<v Speaker 2>on AI so quickly, especially people my age and like,

0:15:23.440 --> 0:15:25.600
<v Speaker 2>as we've managed to make it our whole lives without

0:15:25.640 --> 0:15:27.600
<v Speaker 2>having your computer tell you how to get on the

0:15:27.600 --> 0:15:31.240
<v Speaker 2>subway or what to order it dinner. And the people

0:15:31.280 --> 0:15:35.160
<v Speaker 2>who adopt it, even people in creative industries, people who

0:15:35.200 --> 0:15:38.960
<v Speaker 2>it's threatening their livelihood, are adopting it in a way

0:15:39.000 --> 0:15:40.800
<v Speaker 2>that I think counteracts.

0:15:40.240 --> 0:15:41.400
<v Speaker 5>All the rest of their values.

0:15:41.440 --> 0:15:43.760
<v Speaker 2>But I personally get really upset. I was at dinner

0:15:43.760 --> 0:15:45.680
<v Speaker 2>the other day and we needed to google something, and

0:15:45.720 --> 0:15:47.640
<v Speaker 2>my friend picked up his phone and said, hey, chat,

0:15:48.280 --> 0:15:49.120
<v Speaker 2>just google it.

0:15:49.160 --> 0:15:51.160
<v Speaker 5>But like, what do I care? You know what I mean?

0:15:51.320 --> 0:15:52.640
<v Speaker 5>Why is it so emotionally interesting?

0:15:52.880 --> 0:15:54.680
<v Speaker 12>I think the reason one of the reasons that's so

0:15:54.960 --> 0:15:58.480
<v Speaker 12>emotional is because a lot of the uses of AI

0:15:58.840 --> 0:16:01.520
<v Speaker 12>that we're resorting to to do with communication, right, and

0:16:01.560 --> 0:16:05.160
<v Speaker 12>communication is something that is so personal. One of the academics,

0:16:05.160 --> 0:16:07.320
<v Speaker 12>so I spoke to who's a sociologist and who kind

0:16:07.320 --> 0:16:09.920
<v Speaker 12>of studies political divides, which is sort of a good

0:16:09.960 --> 0:16:13.040
<v Speaker 12>corollary for this. Said that, there's a lot of AI

0:16:13.160 --> 0:16:18.200
<v Speaker 12>skepticism around communications that should be personal, like wedding vowels, right,

0:16:18.600 --> 0:16:20.600
<v Speaker 12>like birthday greetings.

0:16:20.160 --> 0:16:22.400
<v Speaker 2>Or dating as people are like having their dating asks

0:16:22.480 --> 0:16:23.360
<v Speaker 2>just talk to each other.

0:16:23.760 --> 0:16:25.960
<v Speaker 5>The messages are completely AI generated.

0:16:25.600 --> 0:16:29.680
<v Speaker 12>Right, and communication is one of the most personal things

0:16:29.800 --> 0:16:31.960
<v Speaker 12>that we rely on and one of the most sort

0:16:31.960 --> 0:16:34.480
<v Speaker 12>of personal building blocks of our lives. So if we're

0:16:34.560 --> 0:16:36.640
<v Speaker 12>relying on a machine to do that, you know, what

0:16:36.960 --> 0:16:38.920
<v Speaker 12>does that tell us about the state of humanity?

0:16:39.000 --> 0:16:41.600
<v Speaker 3>Quite frankly, we stuck with this agentic setup that's happening.

0:16:41.960 --> 0:16:43.160
<v Speaker 5>Yeah, it's terrifying.

0:16:43.240 --> 0:16:47.120
<v Speaker 2>They've like programs, you know, prompt responses because you know,

0:16:48.040 --> 0:16:49.560
<v Speaker 2>but it is a quite exhausting process.

0:16:50.120 --> 0:16:52.600
<v Speaker 3>A lot on the subject of dating. You cite in

0:16:52.640 --> 0:16:55.880
<v Speaker 3>your piece here a survey by the dating app Hillys

0:16:55.920 --> 0:16:59.160
<v Speaker 3>that right, I think, so sixty four gen z fifty

0:16:59.200 --> 0:17:01.200
<v Speaker 3>six percent of millennial dators say they would not date

0:17:01.240 --> 0:17:05.119
<v Speaker 3>someone who relies on AI for everyday decisions. Here, we

0:17:05.160 --> 0:17:07.120
<v Speaker 3>do have some empirical evidence, at least there's a survey

0:17:07.160 --> 0:17:09.040
<v Speaker 3>that's taken place here. We have some data here, but

0:17:10.040 --> 0:17:11.760
<v Speaker 3>what does that tell you just about the way that

0:17:11.880 --> 0:17:13.760
<v Speaker 3>like lines are being drawn even preemptively?

0:17:13.840 --> 0:17:15.800
<v Speaker 12>I think, yeah, well, I think you know, to your point,

0:17:15.880 --> 0:17:18.000
<v Speaker 12>empirical data is scant.

0:17:17.760 --> 0:17:20.000
<v Speaker 3>Right now, even about you know, economic impact.

0:17:19.680 --> 0:17:22.439
<v Speaker 12>Or all that were kind of so I am completely

0:17:22.440 --> 0:17:24.320
<v Speaker 12>I had a cast around for this, right, but I

0:17:24.320 --> 0:17:26.640
<v Speaker 12>thought this was a really interesting data point. The other

0:17:26.640 --> 0:17:28.359
<v Speaker 12>thing I should say about it is that this is

0:17:28.560 --> 0:17:31.040
<v Speaker 12>cause people who are saying sure that they feel this

0:17:31.080 --> 0:17:33.639
<v Speaker 12>way about AI, right, whether they're actually acting on it

0:17:33.680 --> 0:17:35.399
<v Speaker 12>is another thing. This is the same as you know,

0:17:35.440 --> 0:17:39.639
<v Speaker 12>the perennial issue with political polling, right. But I think

0:17:39.760 --> 0:17:41.840
<v Speaker 12>what it does tell us is that there is a

0:17:41.840 --> 0:17:45.400
<v Speaker 12>bit of a backlash, right Obviously, you know, as we're

0:17:45.400 --> 0:17:47.320
<v Speaker 12>saying at the beginning of this conversation, the rise has

0:17:47.320 --> 0:17:50.679
<v Speaker 12>been absolutely meteoric, and I think that there is a

0:17:50.680 --> 0:17:54.439
<v Speaker 12>sort of hankering for personal connection amid this AI era

0:17:54.520 --> 0:17:57.320
<v Speaker 12>that we're all finding ourselves in. So I'm hopeful that

0:17:57.359 --> 0:17:59.920
<v Speaker 12>we'll get more empirical data on this. Stanford is to

0:18:00.119 --> 0:18:02.440
<v Speaker 12>some good research on this. We also had some I

0:18:02.480 --> 0:18:06.520
<v Speaker 12>came across some data for the piece showing that skepticism

0:18:06.600 --> 0:18:09.119
<v Speaker 12>or lack of trust in AI is rising at a

0:18:09.160 --> 0:18:15.000
<v Speaker 12>pretty rapid clip globally, with some regional differences, But over

0:18:15.040 --> 0:18:18.960
<v Speaker 12>the last sort of three four years, distrust in AI

0:18:19.040 --> 0:18:22.000
<v Speaker 12>has actually risen by about ten percentage points, which is

0:18:22.040 --> 0:18:26.600
<v Speaker 12>a remarkable rate of increase for anything really. So you know,

0:18:26.680 --> 0:18:29.520
<v Speaker 12>let's see what the next generation does and what the

0:18:29.600 --> 0:18:30.320
<v Speaker 12>dynamics look like.

0:18:30.320 --> 0:18:31.439
<v Speaker 5>There, well quickly before we let you go.

0:18:31.560 --> 0:18:33.680
<v Speaker 2>I mean, I want to ask about that next generation

0:18:33.720 --> 0:18:35.480
<v Speaker 2>because I was surprised. I don't know if there's again

0:18:35.560 --> 0:18:38.600
<v Speaker 2>researchers scant, but is there an age difference with adopters

0:18:38.640 --> 0:18:41.359
<v Speaker 2>as well? Because I noticed in my life younger people

0:18:41.520 --> 0:18:44.200
<v Speaker 2>have almost stronger ANTIAI feelings than some of the older

0:18:44.200 --> 0:18:45.280
<v Speaker 2>people in my life, who.

0:18:45.080 --> 0:18:46.720
<v Speaker 5>Were like, this is cool, I can do this thing.

0:18:46.800 --> 0:18:49.199
<v Speaker 2>And then I noticed this week LinkedIn now has an

0:18:49.240 --> 0:18:51.240
<v Speaker 2>option where you can hit the little button and say

0:18:51.280 --> 0:18:53.239
<v Speaker 2>this looks like AI slot. Because I think they were

0:18:53.240 --> 0:18:55.159
<v Speaker 2>getting bombarded with things that people didn't like and it

0:18:55.160 --> 0:18:56.199
<v Speaker 2>was ruining the user experience.

0:18:56.280 --> 0:18:58.719
<v Speaker 12>Yeah, I mean, I think, as ever with new technologies,

0:18:58.760 --> 0:19:02.400
<v Speaker 12>it comes down to literacy, right, and the younger generations

0:19:02.600 --> 0:19:05.600
<v Speaker 12>are individuals who grew up with the Internet, right, They

0:19:05.600 --> 0:19:08.680
<v Speaker 12>don't know a time before the Internet, so maybe that

0:19:08.840 --> 0:19:13.120
<v Speaker 12>sort of skepticism is a little bit more intuitive for them.

0:19:13.240 --> 0:19:14.359
<v Speaker 12>But again, let's see.

0:19:14.920 --> 0:19:16.800
<v Speaker 3>I would ask you lastly just about the difficulty of

0:19:16.840 --> 0:19:18.919
<v Speaker 3>being a skeptic or a fusee as you put it,

0:19:19.080 --> 0:19:20.600
<v Speaker 3>use site in the piece. There are companies now that

0:19:20.640 --> 0:19:23.399
<v Speaker 3>are incentivizing employees to use AI, and so even if

0:19:23.440 --> 0:19:25.600
<v Speaker 3>you don't want to do it or don't think that

0:19:25.600 --> 0:19:28.160
<v Speaker 3>it's going to help or be a positive thing, there

0:19:28.240 --> 0:19:30.439
<v Speaker 3>is pressure now being placed on people to use it

0:19:30.440 --> 0:19:30.959
<v Speaker 3>in the workplace.

0:19:31.040 --> 0:19:33.520
<v Speaker 12>Yeah. Absolutely, there are large companies that are not only

0:19:33.560 --> 0:19:38.359
<v Speaker 12>incentivizing employees to use AI, but actively almost forcing them, right,

0:19:38.440 --> 0:19:41.600
<v Speaker 12>mandating it. And I think those are the skeptics who

0:19:42.200 --> 0:19:45.359
<v Speaker 12>were least willing to speak to me, sure, right, because

0:19:45.400 --> 0:19:46.840
<v Speaker 12>they think their job might be on the line.

0:19:47.200 --> 0:19:47.440
<v Speaker 11>Right.

0:19:48.359 --> 0:19:50.600
<v Speaker 12>But I think that is where we see kind of

0:19:50.800 --> 0:19:53.119
<v Speaker 12>that's really concerning, right, if you're being forced to do

0:19:53.160 --> 0:19:55.520
<v Speaker 12>something in your work that becomes a productivity issue, that

0:19:55.560 --> 0:19:59.200
<v Speaker 12>becomes an engagement issue. Ultimately that could become a workforce issue.

0:20:00.040 --> 0:20:00.639
<v Speaker 5>Stating subject.

0:20:00.680 --> 0:20:02.040
<v Speaker 2>I think it's one that we're all thinking about all

0:20:02.080 --> 0:20:03.760
<v Speaker 2>the time, especially when I don't have kids.

0:20:03.520 --> 0:20:05.920
<v Speaker 5>But I will trying to parents in the water.

0:20:05.760 --> 0:20:08.600
<v Speaker 2>Has to be especially especially difficult that my dog doesn't

0:20:08.600 --> 0:20:09.760
<v Speaker 2>know how to AI, so we're safe there.

0:20:09.800 --> 0:20:11.600
<v Speaker 11>But yes, Cox, thank you so come back because you

0:20:11.640 --> 0:20:14.040
<v Speaker 11>get more empiricals. Please let us know well I can

0:20:14.080 --> 0:20:15.040
<v Speaker 11>see the story as well.

0:20:14.920 --> 0:20:16.320
<v Speaker 2>As to see you.

0:20:18.920 --> 0:20:21.120
<v Speaker 5>Stay with us for more on Bloomberg this weekend.

0:20:21.320 --> 0:20:35.119
<v Speaker 2>Right after this, I want to start by saying the

0:20:35.160 --> 0:20:38.879
<v Speaker 2>story is allegedly a data based analysis, and I am

0:20:38.920 --> 0:20:40.399
<v Speaker 2>now surrounded by legs.

0:20:40.480 --> 0:20:41.800
<v Speaker 5>We've got David.

0:20:41.640 --> 0:20:45.280
<v Speaker 2>Cara and our friend Chris Browser is here. Boys, you're

0:20:45.320 --> 0:20:47.080
<v Speaker 2>showing a lot of leg Is this office.

0:20:46.800 --> 0:20:49.439
<v Speaker 3>Approach showing a lot of leg This piece we're going

0:20:49.480 --> 0:20:51.199
<v Speaker 3>to talk about by Chris has cost more than a

0:20:51.200 --> 0:20:53.560
<v Speaker 3>minor tempest and office towers across New York City and

0:20:53.600 --> 0:20:57.120
<v Speaker 3>indeed in commercial capitals around the world. He not proposing

0:20:57.119 --> 0:20:59.200
<v Speaker 3>the shorts be allowed in the workplace, but investigating whether

0:20:59.240 --> 0:21:02.080
<v Speaker 3>or not there's appetite for it. And Chris, to Christina's point,

0:21:02.640 --> 0:21:04.600
<v Speaker 3>you did this in a very data driven way. You

0:21:04.600 --> 0:21:07.480
<v Speaker 3>conducted a survey. Is now the time, in the dog

0:21:07.560 --> 0:21:09.240
<v Speaker 3>days of summer you feel about it?

0:21:09.280 --> 0:21:09.919
<v Speaker 5>Their facts here?

0:21:10.200 --> 0:21:13.160
<v Speaker 13>No, we had we had the bloom Bloomberg Terminal People

0:21:13.280 --> 0:21:17.280
<v Speaker 13>survey using one of their market pul surveys analysts and

0:21:17.480 --> 0:21:20.400
<v Speaker 13>Terminal subscribers, and forty five percent of.

0:21:20.320 --> 0:21:24.080
<v Speaker 3>People forty five percent, not a majority, said that it

0:21:24.119 --> 0:21:25.840
<v Speaker 3>was suitable to wear shorts to work.

0:21:26.280 --> 0:21:28.920
<v Speaker 13>Now, some of these people responded and said, yeah, oh yeah,

0:21:28.960 --> 0:21:30.399
<v Speaker 13>it's of course it's okay. If you work at a

0:21:30.400 --> 0:21:34.720
<v Speaker 13>surf shop. You know, people really do not support wearing

0:21:34.800 --> 0:21:36.800
<v Speaker 13>shorts work. However, I believe it's time.

0:21:37.280 --> 0:21:39.480
<v Speaker 3>You believe it's time you're going to take that position.

0:21:40.800 --> 0:21:44.160
<v Speaker 3>I work near you physically in the office. You often

0:21:44.200 --> 0:21:46.520
<v Speaker 3>do wear shorts in the summer. You've been taking the

0:21:46.600 --> 0:21:48.800
<v Speaker 3>stand for a while. I have Before you put pen

0:21:48.880 --> 0:21:50.919
<v Speaker 3>to paper, I want you to go back to when

0:21:50.960 --> 0:21:53.560
<v Speaker 3>you first did it. Were you apprehensive about it? What

0:21:53.600 --> 0:21:54.919
<v Speaker 3>did you think the reaction was going to be?

0:21:55.160 --> 0:21:56.520
<v Speaker 13>Yeah, Well, like a lot of people I talked to

0:21:56.520 --> 0:21:58.760
<v Speaker 13>you for this piece, I had, at one point or

0:21:58.760 --> 0:22:01.040
<v Speaker 13>another my career been scolded for not being dressed up

0:22:01.119 --> 0:22:02.360
<v Speaker 13>enough for work. And that's a real thing.

0:22:02.440 --> 0:22:04.320
<v Speaker 3>I mean, this is a guy who wears Monograham shirts

0:22:04.440 --> 0:22:06.080
<v Speaker 3>to work. Would be clear about that.

0:22:06.960 --> 0:22:09.639
<v Speaker 5>Very fancy, very she glen and pants on. Last time

0:22:09.640 --> 0:22:10.000
<v Speaker 5>he was here.

0:22:10.040 --> 0:22:12.080
<v Speaker 13>But there are times, you know when you're not dressed

0:22:12.080 --> 0:22:14.160
<v Speaker 13>appropolyated for a situation, if you're in meeting with people

0:22:14.200 --> 0:22:16.440
<v Speaker 13>or whatever. But if you're not, if you're just going

0:22:16.480 --> 0:22:17.720
<v Speaker 13>to work, you know you're just gonna be a desk

0:22:17.840 --> 0:22:20.439
<v Speaker 13>jockey for the day. My personal rule is that if

0:22:20.480 --> 0:22:23.680
<v Speaker 13>it's over ninety degrees farenhet be allowed to wear fahrenheit

0:22:23.920 --> 0:22:27.160
<v Speaker 13>about thirty two, you should be.

0:22:27.119 --> 0:22:29.280
<v Speaker 5>Allowed to our listeners and shorts.

0:22:29.760 --> 0:22:33.560
<v Speaker 13>Now, one of the first times I did in this office,

0:22:33.640 --> 0:22:36.600
<v Speaker 13>I was walking through the newsroom and the deputy editor

0:22:36.600 --> 0:22:38.399
<v Speaker 13>in chief of Bloomberg News yellow.

0:22:38.200 --> 0:22:40.639
<v Speaker 11>Hello, Reda Grigory. We said good morning to you, Yes.

0:22:40.480 --> 0:22:40.960
<v Speaker 13>Good morning.

0:22:41.800 --> 0:22:45.760
<v Speaker 7>He said, what are you going to the beach? And

0:22:45.800 --> 0:22:47.680
<v Speaker 7>this is a scary Swiss.

0:22:47.280 --> 0:22:50.640
<v Speaker 5>Many lovely but very attached plush Yes.

0:22:50.720 --> 0:22:55.160
<v Speaker 13>So I thought, okay, this is maybe not super accepted,

0:22:55.200 --> 0:22:58.320
<v Speaker 13>but I powered through, and now I think it's a

0:22:58.400 --> 0:23:01.080
<v Speaker 13>It's a topic of conversation all over New York City.

0:23:01.200 --> 0:23:03.200
<v Speaker 2>I will say, since I knew we were doing this piece,

0:23:04.600 --> 0:23:05.200
<v Speaker 2>forget my shorts.

0:23:05.240 --> 0:23:06.639
<v Speaker 5>I'm sorry, I just came out for vacation. I did

0:23:06.680 --> 0:23:07.400
<v Speaker 5>forget my shorts.

0:23:07.440 --> 0:23:10.040
<v Speaker 2>Ironically, but as I was looking around today on a

0:23:10.040 --> 0:23:12.920
<v Speaker 2>Friday in the summer, there were quite a few pair.

0:23:12.760 --> 0:23:13.439
<v Speaker 5>Of work shorts.

0:23:13.480 --> 0:23:16.199
<v Speaker 2>Now I've never done summer shorts, but I do have

0:23:16.280 --> 0:23:17.960
<v Speaker 2>like the really long bermudas that kind of go with

0:23:18.000 --> 0:23:18.679
<v Speaker 2>the matching.

0:23:18.520 --> 0:23:21.560
<v Speaker 11>Jocket with all those cool clam diggers.

0:23:21.600 --> 0:23:23.920
<v Speaker 2>And I've done winter shorts because you can wear them

0:23:24.040 --> 0:23:27.760
<v Speaker 2>with tights. Because for me, the controversy here, especially on

0:23:27.800 --> 0:23:31.840
<v Speaker 2>the women's end, is what length of short is workplace appropriate?

0:23:31.880 --> 0:23:34.360
<v Speaker 2>Because we have variant hemlines on YouTube.

0:23:34.480 --> 0:23:37.080
<v Speaker 11>We wanted to show a little leg. Yes, yeah, well.

0:23:37.000 --> 0:23:38.840
<v Speaker 2>But I mean, is there a fine is there a

0:23:38.840 --> 0:23:41.440
<v Speaker 2>thigh threshold for work appropriate? Is did you ask people

0:23:41.440 --> 0:23:43.320
<v Speaker 2>about the length and kind of short people?

0:23:43.720 --> 0:23:46.320
<v Speaker 13>You know, the thing is you think the longer like

0:23:46.359 --> 0:23:48.040
<v Speaker 13>the more appropriate. But if you get shorts that are

0:23:48.119 --> 0:23:50.520
<v Speaker 13>kind of below the knee, that's also a different look

0:23:50.640 --> 0:23:53.320
<v Speaker 13>that can be like feel less tidy. So my feeling

0:23:53.400 --> 0:23:56.479
<v Speaker 13>is like a seven to nine inch in seem anything

0:23:56.520 --> 0:23:58.480
<v Speaker 13>shorter than that. Usually my husband tells me what is

0:23:58.480 --> 0:24:00.919
<v Speaker 13>appropriate for work. And one day he wasn't home, he

0:24:00.960 --> 0:24:02.560
<v Speaker 13>was traveling, and I went to work and I immediately

0:24:02.560 --> 0:24:03.959
<v Speaker 13>walked in the office and I was like, these are

0:24:04.000 --> 0:24:04.840
<v Speaker 13>too short.

0:24:05.040 --> 0:24:05.800
<v Speaker 7>I'd made a mistake.

0:24:07.040 --> 0:24:08.480
<v Speaker 11>You dig into the history here.

0:24:09.040 --> 0:24:13.600
<v Speaker 3>Look, during revolutionary war times, the men in power were

0:24:13.600 --> 0:24:16.160
<v Speaker 3>wearing I guess not shorts, but breeches.

0:24:16.320 --> 0:24:16.760
<v Speaker 7>Is the thing.

0:24:16.920 --> 0:24:19.480
<v Speaker 13>We think that like, we've been wearing suits and stuff

0:24:19.560 --> 0:24:22.280
<v Speaker 13>to work forever, and that's simply not true.

0:24:22.520 --> 0:24:24.200
<v Speaker 7>It used to be that.

0:24:24.359 --> 0:24:26.800
<v Speaker 13>Wearing clothes that recognize that you live in the world

0:24:26.800 --> 0:24:28.800
<v Speaker 13>and you have to use your body for work was

0:24:29.000 --> 0:24:32.320
<v Speaker 13>very like, was very not fancy. Like if you were

0:24:32.320 --> 0:24:35.280
<v Speaker 13>an aristocrat, you needed to wear clothes like corsets and

0:24:35.320 --> 0:24:37.320
<v Speaker 13>tight things and things that showed that you didn't have

0:24:37.359 --> 0:24:39.160
<v Speaker 13>a body or you could never possibly use.

0:24:39.119 --> 0:24:40.600
<v Speaker 5>Your body for you You didn't have to do labor,

0:24:40.640 --> 0:24:41.320
<v Speaker 5>you didn't.

0:24:41.040 --> 0:24:42.520
<v Speaker 13>Have to do it, like prove that you didn't have

0:24:42.560 --> 0:24:46.800
<v Speaker 13>to do labor. But even then, men showed their legs,

0:24:47.200 --> 0:24:50.440
<v Speaker 13>people wore breeches and wore tights. At the signing of

0:24:50.680 --> 0:24:54.639
<v Speaker 13>the Declaration of Independence, John Adams was wearing stockings and

0:24:54.680 --> 0:24:57.600
<v Speaker 13>showed his calves. So like you can do it.

0:24:57.600 --> 0:25:01.800
<v Speaker 3>Celebrate that two fiftieth Christina, right now, can I ask

0:25:01.840 --> 0:25:03.480
<v Speaker 3>you last week a minute loud, I go home.

0:25:03.560 --> 0:25:04.240
<v Speaker 11>I can't go home.

0:25:05.320 --> 0:25:07.880
<v Speaker 3>You know you're you're paving this path or designers doing

0:25:07.880 --> 0:25:09.240
<v Speaker 3>it as well? Are we seeing this like on the

0:25:09.320 --> 0:25:11.359
<v Speaker 3>runways that now one comes to men's.

0:25:11.080 --> 0:25:15.240
<v Speaker 2>Fashion and women as well, there are suit short outfits

0:25:15.520 --> 0:25:16.280
<v Speaker 2>more frequently that.

0:25:16.240 --> 0:25:17.600
<v Speaker 5>You can buy two two.

0:25:17.640 --> 0:25:19.119
<v Speaker 13>There were two main pegs for this story, one of

0:25:19.160 --> 0:25:21.760
<v Speaker 13>which was in Tokyo, there's actually like a government and

0:25:21.840 --> 0:25:24.159
<v Speaker 13>mandate the municipal workers are allowed to wear shorts and

0:25:24.160 --> 0:25:27.600
<v Speaker 13>that has caused and has caused a lot of consternation.

0:25:28.000 --> 0:25:30.400
<v Speaker 13>And then also on the on the runs the runways

0:25:30.400 --> 0:25:32.760
<v Speaker 13>at the Men's Wort show in Milan and in Paris,

0:25:32.800 --> 0:25:35.080
<v Speaker 13>there were a lot of shorts paired with blazers, suits

0:25:35.080 --> 0:25:38.360
<v Speaker 13>and jackets. So like, uh, you know, Tom Ford lou Vitan.

0:25:38.960 --> 0:25:41.080
<v Speaker 5>Has been doing this forever too, like the short suits.

0:25:41.080 --> 0:25:42.919
<v Speaker 13>I meant Tom Brown, Yeah, Tom Brown has always been

0:25:42.960 --> 0:25:45.640
<v Speaker 13>doing it, doing it. Saint Laurent sent down a look

0:25:45.640 --> 0:25:47.480
<v Speaker 13>on the runway which was basically like a guy in

0:25:47.520 --> 0:25:50.359
<v Speaker 13>a blazer with no bottoms and that is like a

0:25:50.440 --> 0:25:52.280
<v Speaker 13>nightmare that a lot of us have actually had and

0:25:52.320 --> 0:25:53.200
<v Speaker 13>what it feels like.

0:25:53.240 --> 0:25:54.680
<v Speaker 11>To show up summer of twenty seven.

0:25:54.720 --> 0:25:58.199
<v Speaker 3>Maybe maybe not here, Chris, Thank you very much, co

0:25:58.280 --> 0:25:59.200
<v Speaker 3>rats on the controversy.

0:25:59.280 --> 0:26:00.960
<v Speaker 5>Thank you well for breaking down borders.

0:26:01.000 --> 0:26:04.800
<v Speaker 2>And raising hemlines starting you appreciate it.

0:26:04.880 --> 0:26:08.560
<v Speaker 4>Stay with us for more on Bloomberg this weekend right

0:26:08.600 --> 0:26:21.840
<v Speaker 4>after this, Welcome.

0:26:21.560 --> 0:26:24.960
<v Speaker 3>Back to Bloomberg this weekend, Bloomberg B this T Weekend

0:26:25.119 --> 0:26:26.200
<v Speaker 3>w B T W.

0:26:26.680 --> 0:26:27.640
<v Speaker 11>As we say, David.

0:26:27.440 --> 0:26:32.440
<v Speaker 3>Grew, Christina Lisa Matteos, you've ascertained out this week. Nathan

0:26:32.480 --> 0:26:34.439
<v Speaker 3>Hager with us with some stories you might have missed.

0:26:35.760 --> 0:26:38.679
<v Speaker 3>You've been mining the terminal, mining Bloomberg dot com, mining.

0:26:38.480 --> 0:26:39.439
<v Speaker 11>Outside sites as well.

0:26:39.480 --> 0:26:41.200
<v Speaker 14>I should say it's not for us to look.

0:26:41.119 --> 0:26:45.520
<v Speaker 5>Broadly at the news, not using AI. Using your brain.

0:26:45.680 --> 0:26:47.280
<v Speaker 14>Can't do that critical thinking.

0:26:47.560 --> 0:26:49.840
<v Speaker 15>We even do that this early in the morning, and

0:26:49.920 --> 0:26:51.360
<v Speaker 15>morning it's hard, is a struggling.

0:26:51.480 --> 0:26:52.240
<v Speaker 11>There is coffee.

0:26:52.280 --> 0:26:55.760
<v Speaker 15>There is coffee speaking of right, this is about coffee.

0:26:55.800 --> 0:26:59.040
<v Speaker 15>This is about drinking culture. Because I don't think there's

0:26:59.119 --> 0:27:02.880
<v Speaker 15>it's any secret that the beverage industry has been dealing

0:27:03.040 --> 0:27:06.600
<v Speaker 15>with the changes twenty somethings kind of pulling back because

0:27:06.640 --> 0:27:08.439
<v Speaker 15>of health concerns or the economy.

0:27:08.520 --> 0:27:10.440
<v Speaker 2>Yeah, we just have a story of Jim Beam and

0:27:10.080 --> 0:27:12.080
<v Speaker 2>they're owned by this big Japanese conglomerate and.

0:27:12.080 --> 0:27:15.159
<v Speaker 3>They because that they're actually getting into not a non

0:27:15.200 --> 0:27:16.840
<v Speaker 3>alcoholic whiskey, but like no.

0:27:16.960 --> 0:27:17.480
<v Speaker 5>But Jim Beam.

0:27:17.520 --> 0:27:20.600
<v Speaker 2>They're doing non alcoholic cocktails to try to, you know,

0:27:20.680 --> 0:27:23.639
<v Speaker 2>get these young people who are not drinking alcohol to

0:27:23.680 --> 0:27:24.600
<v Speaker 2>purchase some of their produities.

0:27:24.600 --> 0:27:26.960
<v Speaker 15>Well, this isn't just a Western phenomenon or here in

0:27:27.000 --> 0:27:29.880
<v Speaker 15>the States. It's even spreading to China. Although the reasons

0:27:29.920 --> 0:27:32.240
<v Speaker 15>here are a little bit different. This is really about

0:27:32.240 --> 0:27:35.159
<v Speaker 15>a generational divide. This was from the Wall Street Journal

0:27:35.160 --> 0:27:39.240
<v Speaker 15>this week. A sober curious generation is challenging the business

0:27:39.280 --> 0:27:41.919
<v Speaker 15>culture of heavy drinking. Because you can see it right

0:27:41.960 --> 0:27:44.919
<v Speaker 15>here for our listeners on radio, they do toasts. This

0:27:44.960 --> 0:27:48.400
<v Speaker 15>has been a part of the culture for dagoes. Now

0:27:49.480 --> 0:27:52.600
<v Speaker 15>some business leaders say that you know, just you can

0:27:52.680 --> 0:27:55.600
<v Speaker 15>tell whether a deal is going to go down based

0:27:55.640 --> 0:27:59.479
<v Speaker 15>on how many toasts are in the deal. So an

0:27:59.520 --> 0:28:02.679
<v Speaker 15>initial business steel is even about business. It's about just

0:28:02.840 --> 0:28:05.520
<v Speaker 15>doing the toast. And this is around a national drink

0:28:05.560 --> 0:28:08.119
<v Speaker 15>called by Jew It's actually one hundred and seventy billion

0:28:08.160 --> 0:28:11.560
<v Speaker 15>dollar business. This is a clear spirit that's distilled from sorghum,

0:28:11.600 --> 0:28:16.040
<v Speaker 15>and it's kind of the traditional alcoholic beverage that Chinese

0:28:16.040 --> 0:28:19.600
<v Speaker 15>business people and at social gatherings do to do these toasts.

0:28:19.680 --> 0:28:22.359
<v Speaker 15>But only about a fifth of adults in China ages

0:28:22.400 --> 0:28:24.680
<v Speaker 15>twenty five to thirty five name it as their preferred

0:28:24.720 --> 0:28:28.159
<v Speaker 15>alcoholic drink. They say at least one worker says, it

0:28:28.160 --> 0:28:33.200
<v Speaker 15>burns your thoughts instinct It is very I have, but

0:28:33.240 --> 0:28:33.840
<v Speaker 15>I've never had this.

0:28:34.000 --> 0:28:35.200
<v Speaker 11>It's extremely strong.

0:28:35.280 --> 0:28:37.560
<v Speaker 15>Would you say that the aftertaste is worse than a

0:28:37.600 --> 0:28:41.280
<v Speaker 15>mix of funky cheese and ferment well juice, you know.

0:28:41.520 --> 0:28:43.080
<v Speaker 3>I don't even know if I had time to process

0:28:43.160 --> 0:28:45.600
<v Speaker 3>the taste because it was so powerful and strong. Oh,

0:28:45.800 --> 0:28:49.320
<v Speaker 3>it reminds me of that. But mylord, isn't that the

0:28:49.600 --> 0:28:51.760
<v Speaker 3>Chicago drink. It's like a very strong I don't know

0:28:51.800 --> 0:28:53.560
<v Speaker 3>what that is either. Well, I will bring some in

0:28:53.600 --> 0:28:54.880
<v Speaker 3>for you to have, But I mean I.

0:28:54.800 --> 0:28:56.960
<v Speaker 5>Had moonshine ones. Well it almost killed me.

0:28:58.000 --> 0:29:00.360
<v Speaker 15>So the bottom line about how this is worked in

0:29:00.440 --> 0:29:05.760
<v Speaker 15>China is that it's not just about giving up alcohol necessarily.

0:29:05.880 --> 0:29:10.360
<v Speaker 15>It's about changing the way that young people decide to

0:29:10.480 --> 0:29:13.160
<v Speaker 15>drink and sort of rejecting or you know, going a

0:29:13.160 --> 0:29:15.440
<v Speaker 15>little bit against how the older generation have done it

0:29:16.080 --> 0:29:19.400
<v Speaker 15>with their alcohol experience or what else you got, Well,

0:29:19.480 --> 0:29:23.160
<v Speaker 15>you mentioned the must have summer status symbols.

0:29:23.200 --> 0:29:25.240
<v Speaker 14>Weased well, something to drink.

0:29:25.480 --> 0:29:27.440
<v Speaker 2>It's not a tan because we've all learned that's not

0:29:27.520 --> 0:29:28.160
<v Speaker 2>happening for me.

0:29:28.520 --> 0:29:31.720
<v Speaker 14>Well, it's something in a bottle. It's not sunscreen. It's

0:29:31.760 --> 0:29:35.240
<v Speaker 14>a three ninety nine dollars bottle of water.

0:29:35.600 --> 0:29:38.240
<v Speaker 15>As you can forget your bai juw flavored lattes or

0:29:38.280 --> 0:29:39.040
<v Speaker 15>your bubble tea.

0:29:39.200 --> 0:29:42.520
<v Speaker 14>This is lunar water. It's showing up.

0:29:42.400 --> 0:29:46.320
<v Speaker 15>At bougie grocery stores, private events here in New York City.

0:29:46.720 --> 0:29:50.640
<v Speaker 5>Must have seen it and the show how dare you? Also? Yes,

0:29:50.680 --> 0:29:51.800
<v Speaker 5>I have, I'll have you know.

0:29:52.280 --> 0:29:55.520
<v Speaker 15>And the way they sell this is it's sourced from

0:29:55.520 --> 0:29:59.720
<v Speaker 15>a southern California spring. Yes, there stainless steel filtration, adding

0:29:59.800 --> 0:30:04.880
<v Speaker 15>net minerals like Celtic sea salt, magnesium, potassium, and calcium,

0:30:04.920 --> 0:30:08.320
<v Speaker 15>all this for the low low price of three dollars

0:30:08.640 --> 0:30:12.880
<v Speaker 15>and ninety nine cents. Now, this was founded co founded

0:30:12.960 --> 0:30:15.640
<v Speaker 15>last year actually by a woman named Clara cig She's

0:30:15.680 --> 0:30:19.000
<v Speaker 15>a former venture capitalist too. When she was, you know,

0:30:19.440 --> 0:30:22.680
<v Speaker 15>deciding to get pregnant, getting ready to decided to educate

0:30:22.680 --> 0:30:26.640
<v Speaker 15>herself about micro plastics and found that.

0:30:26.680 --> 0:30:28.800
<v Speaker 14>She says that the stainless steel.

0:30:28.520 --> 0:30:33.560
<v Speaker 15>Filtration process gets out more of the microplastics. But when

0:30:33.600 --> 0:30:38.320
<v Speaker 15>you talk to experts, they say water's water. And even

0:30:38.360 --> 0:30:42.360
<v Speaker 15>if there is a you know, evy on or liquid bovy,

0:30:43.120 --> 0:30:45.560
<v Speaker 15>there is no evidence that any of these elite brands

0:30:45.800 --> 0:30:47.960
<v Speaker 15>are going to give you any other water.

0:30:48.040 --> 0:30:49.440
<v Speaker 5>And glass does taste.

0:30:50.800 --> 0:31:00.960
<v Speaker 16>It's it's called Luninkay what else editorial drink? Why would

0:31:00.960 --> 0:31:01.760
<v Speaker 16>I editorialize?

0:31:01.800 --> 0:31:02.000
<v Speaker 9>Never?

0:31:02.200 --> 0:31:02.720
<v Speaker 14>Okay never.

0:31:02.880 --> 0:31:06.640
<v Speaker 15>So we're going to go from luxury water to luxury

0:31:06.680 --> 0:31:11.120
<v Speaker 15>hotels here because this is a new trend across Europe.

0:31:11.160 --> 0:31:14.200
<v Speaker 15>Actually it's not just about the thread count or the

0:31:14.200 --> 0:31:18.320
<v Speaker 15>buzzy restaurant. History is the new amenity. This story is

0:31:18.600 --> 0:31:22.160
<v Speaker 15>actually from Bloomberg Today. This week, you can go to

0:31:22.200 --> 0:31:25.920
<v Speaker 15>the Raffles London at the ow Woe and sim Martinis

0:31:25.920 --> 0:31:29.600
<v Speaker 15>in a basement that was once used by British intelligence

0:31:29.640 --> 0:31:29.840
<v Speaker 15>like that.

0:31:29.880 --> 0:31:33.600
<v Speaker 2>Of course you're speaking my language history nerd and bougie hotel.

0:31:34.200 --> 0:31:39.720
<v Speaker 14>Quiz O w WO stands for Office of Wartime along

0:31:39.760 --> 0:31:40.440
<v Speaker 14>the lines.

0:31:40.160 --> 0:31:45.920
<v Speaker 15>The Old War Office the Nomad London. You can tour

0:31:46.000 --> 0:31:51.240
<v Speaker 15>old prison cells where Oscar Wilde once waited for sentencing.

0:31:52.000 --> 0:31:59.800
<v Speaker 15>So guests are paying upwards of thirteen thousand thirteen. So

0:31:59.840 --> 0:32:02.080
<v Speaker 15>you can stay at places that were once limited to

0:32:02.240 --> 0:32:04.200
<v Speaker 15>the most powerful, and like I said, this is a

0:32:04.240 --> 0:32:06.840
<v Speaker 15>trend to cross Europe. Their old ministries in Paris and

0:32:06.920 --> 0:32:09.960
<v Speaker 15>Lisbon that are turning into hotels, the former Italian Central

0:32:10.000 --> 0:32:13.560
<v Speaker 15>Bank headquarters in Rome, because they got to offload some

0:32:13.640 --> 0:32:16.520
<v Speaker 15>of these old buildings as the governments are modernizing, and

0:32:16.560 --> 0:32:18.760
<v Speaker 15>these hotel chains are saying, you know what, we'll go

0:32:18.760 --> 0:32:21.440
<v Speaker 15>ahead and snap them up and give our guests an

0:32:21.640 --> 0:32:24.240
<v Speaker 15>experience that they'll never forget compared to like the museums

0:32:24.320 --> 0:32:25.840
<v Speaker 15>or the spa or whatever.

0:32:25.920 --> 0:32:28.240
<v Speaker 2>You know, I understand there's an access issue here and

0:32:28.280 --> 0:32:30.120
<v Speaker 2>it's not equitable, but I also do think it is

0:32:30.240 --> 0:32:32.960
<v Speaker 2>nice to preserve these buildings that other might otherwise not

0:32:33.000 --> 0:32:35.400
<v Speaker 2>have a purpose. At least someone is paying to save them.

0:32:35.440 --> 0:32:37.400
<v Speaker 2>And you know you got to buy a fourteen dollar

0:32:37.440 --> 0:32:38.840
<v Speaker 2>martini to help an.

0:32:38.760 --> 0:32:42.840
<v Speaker 15>Old post office V Well, there's a olderf historian now.

0:32:43.240 --> 0:32:44.920
<v Speaker 5>It is now and has a very nice bar. I've

0:32:44.920 --> 0:32:47.240
<v Speaker 5>been there multiple times, Nathan.

0:32:46.960 --> 0:32:48.080
<v Speaker 11>Thank you very much, appreciate that.

0:32:48.200 --> 0:32:49.560
<v Speaker 14>Give btw.

0:32:51.400 --> 0:32:54.360
<v Speaker 2>Thanks for joining us on today's Bloomberg This Weekend podcast.

0:32:54.480 --> 0:32:56.720
<v Speaker 2>Don't forget to tune in live for the show every

0:32:56.760 --> 0:32:59.400
<v Speaker 2>Saturday and Sunday morning, starting at seven am Eastern

0:32:59.440 --> 0:33:02.480
<v Speaker 3>We're on bloom Television, radio, and the Bloomberg Business App,

0:33:02.600 --> 0:33:06.120
<v Speaker 3>bringing you unique takes and in depth interviews on news, politics,

0:33:06.200 --> 0:33:07.400
<v Speaker 3>lifestyle and culture.