WEBVTT - Bloomberg Businessweek Weekend - February 14th, 2025

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is Bloomberg Business Week Insight from the reporters and

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<v Speaker 2>editors that bring you America's most trusted business magazine, plus

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<v Speaker 2>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 2>Podcast with Carol Masser and Tim Stenovek on Bloomberg Radio.

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<v Speaker 3>Hi, everyone, Welcome to the Bloomberg Business Week Weekend Podcast.

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<v Speaker 3>This past week brought US tariff talk too hot, inflation

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<v Speaker 3>prints fetchier, J Powell saying that the US Central Bank

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<v Speaker 3>is in no rush to lower interest rates as there

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<v Speaker 3>is still more work to do on inflation, and an

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<v Speaker 3>AI summit in Paris where Vice President j. D Vance

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<v Speaker 3>said artificial intelligence chips need to be made in the

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<v Speaker 3>United States. That sent higher shares of Intel and Global Founderies.

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<v Speaker 1>Investors took their cues from that and really from the

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<v Speaker 1>comments out of the Oval Office and President Trump and

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<v Speaker 1>his Head of Government Efficiency Elon Musk, on that we

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<v Speaker 1>look at what critics say is the chaos caused by

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<v Speaker 1>his DOGE office that may threaten many safety nets.

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<v Speaker 3>Plus we get a read on the all important housing

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<v Speaker 3>market with the CEO of Zillo, and to look at

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<v Speaker 3>tech spend in the business application software space with the

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<v Speaker 3>co founder and CEO of IT, Lassian.

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<v Speaker 1>He also had news to announce in the world of

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<v Speaker 1>auto racing. All that to come, we begin with Elon

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<v Speaker 1>Musk's attemp set a government makeover via his DOGE team.

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<v Speaker 3>President Trump earlier in the week signed an executive order

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<v Speaker 3>with Elon standing by his side, directing federal agencies to

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<v Speaker 3>coordinate and consult with DOGE to cut jobs and limit hiring,

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<v Speaker 3>essentially giving the billionaire more power within the US government.

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<v Speaker 1>On January thirty, first, Doze acquired access to payment systems

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<v Speaker 1>inside the Department of the Treasury. Musk has targeted certain organizations,

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<v Speaker 1>including Lutheran charities, one of which we've talked to here

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<v Speaker 1>on Bloomberg business Week. He suggested that they are involved

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<v Speaker 1>in illegal activities, leading to fears that their funding will

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<v Speaker 1>be cut off.

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<v Speaker 3>Now, this too is about what some say is the

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<v Speaker 3>DOGE chaos and that it threatens the safety net of many.

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<v Speaker 3>Writing all about it is Bloomberg Business Week columnist and

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<v Speaker 3>co host of the Elon Inc. Podcast Max Chafkin.

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<v Speaker 4>Over the weekend that Elon Musk got access to the

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<v Speaker 4>Treasury payment.

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<v Speaker 1>System, which was basically right when Trump became president.

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<v Speaker 4>Yeah, it was. I think it was about a week

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<v Speaker 4>after Trump became president. You had all these doze employees

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<v Speaker 4>fan onto the government. They're all kind of finding stuff, right,

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<v Speaker 4>and it's like some of this stuff is sort of

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<v Speaker 4>big stuff, some of it's small stuff. A lot of

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<v Speaker 4>it is outrageous, at least from the perspective of Elon Musk.

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<v Speaker 4>And during this sort of flurry of activity, Mike Flynn,

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<v Speaker 4>who was the National security advisor to President Trump briefly

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<v Speaker 4>in like twenty seventeen, he had a whole back legal

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<v Speaker 4>back and forth or whatever. He's now kind of a

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<v Speaker 4>right wing activist. He tweets this spreadsheet containing the names

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<v Speaker 4>of about a dozen charities. These are small, These are

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<v Speaker 4>basically mostly local charities, a lot of them in the Midwest,

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<v Speaker 4>and all affiliated with the Lutheran Church, or most of

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<v Speaker 4>them were affiliated with the Lutheran Church. And says, basically,

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<v Speaker 4>this is money laundering. Someone should do something about it.

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<v Speaker 4>Elon Musk tweets, all right, we're shutting it down. And

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<v Speaker 4>that kind of just throws this whole part of business

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<v Speaker 4>of the world into a kind of chaos, right. And

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<v Speaker 4>I spent some time talking to some of these Lutheran

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<v Speaker 4>charities about what it was like, and what you hear is,

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<v Speaker 4>you know, confusion, anger, frustration. You know, they don't in

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<v Speaker 4>a lot of cases know exactly why they're being targeted,

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<v Speaker 4>what it's about. And when you actually look at the

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<v Speaker 4>work they're doing, they're doing it's like basic. It's a

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<v Speaker 4>lot of it is like just basic social safety and

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<v Speaker 4>that stuff. The main kind of character in this piece

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<v Speaker 4>runs a charity in Ohio. They operate food pantries, homeless shelters,

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<v Speaker 4>domestic violence shelters, They rent out affordable housing, nursing homes.

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<v Speaker 4>And you start to think about it like this is

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<v Speaker 4>a big part of the American social safety net, these

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<v Speaker 4>charitable organizations that get money from the federal government. It's

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<v Speaker 4>it's like how we take care of the needy in

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<v Speaker 4>this country? And and and I think the point here

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<v Speaker 4>is that you know, while Musk is doing all this stuff,

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<v Speaker 4>you're seeing groups that are getting getting caught up in

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<v Speaker 4>the drag net, and there's damage being done potentially to

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<v Speaker 4>the infrastructure of how we I mean, in this case,

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<v Speaker 4>how we provide healthcare and housing to poor people. But

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<v Speaker 4>I think you're going to see this across the government

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<v Speaker 4>where there are there are aspects of the DOGE transformation

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<v Speaker 4>that really speak to government efficiency, But then you have

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<v Speaker 4>all of this kind of collateral damage and or is

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<v Speaker 4>it collateral damage. It's it's it's really unclear what Elon

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<v Speaker 4>Musk thinks or what Donald Trump thinks.

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<v Speaker 3>I gotta say when this story, you know, kind of

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<v Speaker 3>hit and we were trying to understand these organizations. We

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<v Speaker 3>actually caught up with one Chris Amara Vignaraja. She's president

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<v Speaker 3>and CEO of Global Refuse, a recipient of funding from USA.

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<v Speaker 3>She shared with us what it means not to receive

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<v Speaker 3>the funding.

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<v Speaker 5>These are individuals who had gone through every hoop in

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<v Speaker 5>order to come because we had made a military promise

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<v Speaker 5>to them that they were going to risk their lives

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<v Speaker 5>to protect US troops and that we wouldn't leave them

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<v Speaker 5>behind to face Taliban retribution. So we've been impacted in

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<v Speaker 5>the fact that we no longer can serve them, but

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<v Speaker 5>they can no longer even get off the military base

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<v Speaker 5>because the stop work order that we're talking about also

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<v Speaker 5>affects UN agencies, So they're not even able to get

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<v Speaker 5>off the military base to travel, even if they were

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<v Speaker 5>able to afford their own flight to come here to

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<v Speaker 5>the US, so it is paralyzing. We operate across the country.

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<v Speaker 5>We partner with local nonprofits right in the redit of

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<v Speaker 5>red states and the bluest of blue states. None of

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<v Speaker 5>them receive funding because we are not able to receive funding.

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<v Speaker 3>Okay again, that's Krishamara Vignaraja, Presidency E of Global Refuge.

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<v Speaker 3>She started off with talking about how we haven't been

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<v Speaker 3>able to help our Afghan allies, but talks a little

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<v Speaker 3>bit about kind of almost the supply chain of groups

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<v Speaker 3>in terms of helping others. I mean, what more are

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<v Speaker 3>we getting about exactly where this aid in this money goes.

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<v Speaker 4>I mean, the thing is we don't even know what's

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<v Speaker 4>been cut off. And what was so interesting about getting

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<v Speaker 4>into the story is these organizations don't know. I mean,

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<v Speaker 4>they have not been paid in many cases, but it's

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<v Speaker 4>not like it's been a huge it's not like there's

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<v Speaker 4>been a lot large delay or something. So they don't

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<v Speaker 4>know if Elon Musk was just spouting off, if he

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<v Speaker 4>just was tweeting a thing, or if what he tweeted

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<v Speaker 4>kind of had the full force of the federal government.

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<v Speaker 4>And it's it's a lot of this this has been

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<v Speaker 4>this is kind of a microcosm of what's been happening

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<v Speaker 4>across the government. You know, you have Elon Musk go

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<v Speaker 4>on Twitter and say we fed we fed USAID into

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<v Speaker 4>the wood chipper last night, and and and on one hand,

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<v Speaker 4>like there is truth to that, right, like the Trump

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<v Speaker 4>administration is trying to substantially cut down USI AID, arguably

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<v Speaker 4>to shut it down, but that is being challenged in court.

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<v Speaker 4>So these employees are still getting paid, like they haven't

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<v Speaker 4>actually done the thing that Elon Musk said they had done,

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<v Speaker 4>at least not yet because the courts have intervened. So

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<v Speaker 4>you have a lot of this where where Musk is

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<v Speaker 4>saying something or Trump is saying something, and then the

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<v Speaker 4>reality on the ground is maybe a little bit more muddied.

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<v Speaker 4>And as it becomes clear, right, that could lead to

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<v Speaker 4>some cost savings, it could also lead to pain. You know,

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<v Speaker 4>in the case of this Ohio charity, we're talking about

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<v Speaker 4>seven hundred people. You know, the human services industry, it

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<v Speaker 4>employees a lot of people, and including in red states

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<v Speaker 4>and blue states and so on, and so you're going

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<v Speaker 4>to see political pain that I think will be something

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<v Speaker 4>that the Trump administration has to contend with. This is

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<v Speaker 4>the kind of thing where like if you voted for

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<v Speaker 4>Elon Musk and Donald Trump. I mean, no one voted

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<v Speaker 4>for Elon Musk, but if you voted for Donald Trump

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<v Speaker 4>to clean up the government, you may not be thinking, yeah,

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<v Speaker 4>that would be great if they defund my local Lutheran

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<v Speaker 4>nursing home or something like that. And so I think

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<v Speaker 4>that's the I think there's I think there's real real

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<v Speaker 4>risk here for the Trump administration and frankly for Elon

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<v Speaker 4>Musk because he's the face of this.

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<v Speaker 1>It sounds like, in other words, there's a risk of

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<v Speaker 1>throwing the baby out with the bathwater here, because I

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<v Speaker 1>think it's fair to say a lot of people do

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<v Speaker 1>think there is, to quote President Trump, waste fraud and

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<v Speaker 1>abuse when it comes to government spending. It's not hard

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<v Speaker 1>to find examples of that.

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<v Speaker 4>Yeah, I mean the issue is that our deficit is

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<v Speaker 4>you know that this two trillion dollar deficit that was

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<v Speaker 4>and that was the goal that Elon Musk promised to cut.

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<v Speaker 4>It seems like wishful thinking to think you're going to

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<v Speaker 4>get there by cutting waste, fraud and abuse. Even you

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<v Speaker 4>know he can, he could keep himself very busy cutting

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<v Speaker 4>waste fraud, and abuse, and he's not going to be

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<v Speaker 4>that far along in terms of meeting his goal. And

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<v Speaker 4>that's you hear that both when you talk to critics

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<v Speaker 4>on the right and critics on the left. People essentially

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<v Speaker 4>on the left, they're saying, there's no constitutional authority to

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<v Speaker 4>do this. This is a crisis. You know, you saw

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<v Speaker 4>Elizabeth Warren giving kind of a really a press con

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<v Speaker 4>conference presenting this is kind of a catastrophe. And on

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<v Speaker 4>the right you have people saying, like, look, this is

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<v Speaker 4>not that big a deal. The Defense Department is a

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<v Speaker 4>big deal. Social Security is a big deal. If you

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<v Speaker 4>talked to like fiscal hops and stuff. So there is

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<v Speaker 4>this kind of gap between between reality and then and

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<v Speaker 4>then the hopes and dreams. And in that gap are

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<v Speaker 4>a bunch of programs where that have constituencies and you know,

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<v Speaker 4>you think about like NIH. Right, they do this big

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<v Speaker 4>announcement essentially saying that anyone who gets an NIH grant

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<v Speaker 4>has to have a lower amount of overhead. And when

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<v Speaker 4>you hear Elon Musk talk about it, right, he's saying

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<v Speaker 4>that some of these programs have sixty percent overhead. We're

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<v Speaker 4>making you know, we're making it fifteen percent overhead. That gap,

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<v Speaker 4>that cutting that funding is going to mean jobs in

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<v Speaker 4>a lot of states, and those and those congress people

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<v Speaker 4>and senators, some of them Republicans, some of them Democrats,

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<v Speaker 4>are going to be either loudly trying to change it

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<v Speaker 4>or quietly, in the case of Republicans, trying to adjust things.

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<v Speaker 3>Right because midterms are just two years away. Having said that,

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<v Speaker 3>where is Congress and all of this and where is

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<v Speaker 3>that argument about Congress controls you know, the power of

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<v Speaker 3>the purse that in terms of when they're spending it's

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<v Speaker 3>got the approval of it or the cut pack of

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<v Speaker 3>it somehow has to go through US lawmakers.

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<v Speaker 4>Well, I mean, you know, Republicans control Congress right now,

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<v Speaker 4>and they are for the They are either being you know,

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<v Speaker 4>sort of quietly grumbling or being super supportive. There's no

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<v Speaker 4>there's no real there's no Republican opposition right now. The

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<v Speaker 4>closest thing you can you see toward Republicans sort of

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<v Speaker 4>like feeling uncomfortable, would be like, you know, maybe there's

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<v Speaker 4>a tweet or whatever. Senator Bill Cassidy tweeted about pep

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<v Speaker 4>FAR a couple of weeks back.

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<v Speaker 1>This is the AIDS program exactly the same in Africa,

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<v Speaker 1>that Anthony Fatchi had actually had a big part in

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<v Speaker 1>it during the George W. Bush administration.

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<v Speaker 4>And it's a Republican program. It's it's seen by many

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<v Speaker 4>as like a pro life program. So there's that. Katie

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<v Speaker 4>Britt the other day, senator from Alabama, gave an interview

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<v Speaker 4>with her local newspaper sort of not quite complaining about

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<v Speaker 4>these nh NIH cuts, but sort of saying, we're going

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<v Speaker 4>to need to make sure we negotiate so that there's

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<v Speaker 4>not we don't get huge cuts to the university hospital

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<v Speaker 4>system in Alabama that employs a ton of people.

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<v Speaker 1>But this is exactly what has prevented government cuts in

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<v Speaker 1>the past. The idea that and I'm not calling it

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<v Speaker 1>all pork, but the idea that constituencies are affected. And

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<v Speaker 1>you have these lawmakers in Congress saying, don't touch stuff

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<v Speaker 1>in my district. And I do think this is where

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<v Speaker 1>the Defense Department, in the defense contracting for example.

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<v Speaker 4>Well, the defense is an interesting issue because because Elon

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<v Speaker 4>Musk is a major defense contractor, he may not be

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<v Speaker 4>the you know, he's got obvious conflicts and interests may

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<v Speaker 4>be difficult. But leaving that aside, people who like this,

0:11:37.720 --> 0:11:39.640
<v Speaker 4>I think what they liked is that Elon Musk is

0:11:39.679 --> 0:11:44.280
<v Speaker 4>an amazing marketer. Yes, good governance types on the right

0:11:44.320 --> 0:11:45.960
<v Speaker 4>and the left have tried to do this stuff before,

0:11:46.000 --> 0:11:49.680
<v Speaker 4>and they always fail because politics intervenes, because because cutting

0:11:49.679 --> 0:11:52.120
<v Speaker 4>these programs, each of these programs, you can they sound

0:11:52.200 --> 0:11:54.959
<v Speaker 4>ridiculous maybe on a spreadsheet, but when you really get

0:11:55.000 --> 0:11:58.320
<v Speaker 4>down to it, there are people benefiting and those people vote. Now. Musk,

0:11:58.360 --> 0:12:00.760
<v Speaker 4>of course is kind of like a transformer marketer, a

0:12:00.760 --> 0:12:03.880
<v Speaker 4>transformative storyteller, and so I think the bull case would

0:12:03.920 --> 0:12:07.480
<v Speaker 4>be like he is able to tell a story that

0:12:07.559 --> 0:12:10.000
<v Speaker 4>causes people to go along with this. But again I

0:12:10.000 --> 0:12:12.280
<v Speaker 4>do think you when you start reading about some of

0:12:12.320 --> 0:12:15.679
<v Speaker 4>these cases of defunding or some of the stuff that's

0:12:15.679 --> 0:12:19.360
<v Speaker 4>happening in the civil service, like even Elon Musk, the

0:12:19.679 --> 0:12:22.640
<v Speaker 4>great electric car salesman, may not be able to sell

0:12:22.760 --> 0:12:24.559
<v Speaker 4>some of these cuts to the American people.

0:12:24.760 --> 0:12:27.360
<v Speaker 3>All Right, great read, and great you know, kind of

0:12:27.400 --> 0:12:29.280
<v Speaker 3>pulling it all together in terms of the headlines that

0:12:29.320 --> 0:12:31.440
<v Speaker 3>have been coming us, coming at us in terms of

0:12:31.480 --> 0:12:34.600
<v Speaker 3>doge over the last week or two. Max Chakin, thank

0:12:34.600 --> 0:12:37.160
<v Speaker 3>you so much, Bloomberg Business Week columnist. You can catch

0:12:37.200 --> 0:12:39.480
<v Speaker 3>a story, you can find it at Bloomberg dot com

0:12:39.520 --> 0:12:41.680
<v Speaker 3>and also on the Bloomberg Terminal. Max by the Way,

0:12:41.679 --> 0:12:44.240
<v Speaker 3>co host of the elon Inc Podcast, where you can

0:12:44.280 --> 0:12:46.240
<v Speaker 3>also find on the Bloomberg and at Bloomberg dot com

0:12:46.240 --> 0:12:49.120
<v Speaker 3>slash elon Ink. He is also author of The Contrariant

0:12:49.120 --> 0:12:52.000
<v Speaker 3>Peter Tiel and Silicon Valley's Pursuit of Power.

0:12:56.480 --> 0:12:59.960
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:13:00.160 --> 0:13:03.559
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:13:03.600 --> 0:13:07.160
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

0:13:07.320 --> 0:13:09.920
<v Speaker 2>or watch us live on YouTube.

0:13:10.760 --> 0:13:13.800
<v Speaker 3>This week's shares of Zillo tumbled after delivered a revenue

0:13:13.800 --> 0:13:16.760
<v Speaker 3>forecast for the first quarter that fell short of analyst estimates,

0:13:17.000 --> 0:13:19.400
<v Speaker 3>and the company said it also expects a more challenging

0:13:19.480 --> 0:13:21.200
<v Speaker 3>housing market in the first quarter.

0:13:21.480 --> 0:13:23.640
<v Speaker 1>For more on Zillo's business and the outlook of the

0:13:23.720 --> 0:13:27.080
<v Speaker 1>US housing market, we spoke to Zillo CEO Jeremy Waxman.

0:13:27.400 --> 0:13:29.040
<v Speaker 6>The housing market remains challenged.

0:13:29.080 --> 0:13:31.840
<v Speaker 7>It was challenged in twenty twenty four, and we're expecting

0:13:31.840 --> 0:13:32.760
<v Speaker 7>it to be so again.

0:13:32.800 --> 0:13:33.800
<v Speaker 6>In twenty twenty five.

0:13:34.520 --> 0:13:38.040
<v Speaker 7>Zillo reported great results Q four revenue up seventeen percent,

0:13:38.400 --> 0:13:40.960
<v Speaker 7>and we hit our goals of growing revenue double digits

0:13:41.040 --> 0:13:43.960
<v Speaker 7>last year and expanding our margins, and we also guided

0:13:44.000 --> 0:13:46.040
<v Speaker 7>yesterday that we expect to continue to do that again

0:13:46.080 --> 0:13:48.880
<v Speaker 7>this year with revenue growth in the low to mid teens,

0:13:49.440 --> 0:13:52.160
<v Speaker 7>more margin expansion, and positive GAT and income for the

0:13:52.200 --> 0:13:53.959
<v Speaker 7>first time in a long time. And as you said,

0:13:54.160 --> 0:13:57.600
<v Speaker 7>that's against a persistently challenged housing market. So we're able

0:13:57.640 --> 0:14:00.400
<v Speaker 7>to grow and gain share both in twenty four and

0:14:00.400 --> 0:14:02.160
<v Speaker 7>we plan do you it again in twenty twenty five,

0:14:02.600 --> 0:14:07.880
<v Speaker 7>while the market remains depressed for volume and challenging for buyers.

0:14:08.040 --> 0:14:10.400
<v Speaker 3>Jeremy, do you think investors have it wrong in terms

0:14:10.440 --> 0:14:13.480
<v Speaker 3>of pushing your share price down a lot in reaction

0:14:13.679 --> 0:14:16.880
<v Speaker 3>to what they got on the quarter and the outlook?

0:14:17.040 --> 0:14:19.320
<v Speaker 7>We don't really focus on the day to day voting

0:14:19.400 --> 0:14:21.600
<v Speaker 7>machine of the stock market. If you zoom out and

0:14:21.600 --> 0:14:23.880
<v Speaker 7>look over the long the long couple quarters, a couple

0:14:23.840 --> 0:14:27.240
<v Speaker 7>of years, we made great progress on our integrated super

0:14:27.240 --> 0:14:31.000
<v Speaker 7>apps strategy. We're growing revenue nicely, we're out growing the category,

0:14:31.360 --> 0:14:33.280
<v Speaker 7>and we can plan to continue to do that in twenty

0:14:33.280 --> 0:14:36.160
<v Speaker 7>twenty five, and so over time, the stockcacre of itself,

0:14:36.240 --> 0:14:39.040
<v Speaker 7>the company grows in value as we really deliver on

0:14:39.080 --> 0:14:42.200
<v Speaker 7>our promise of helping more buyers and sellers get home.

0:14:42.640 --> 0:14:45.120
<v Speaker 7>That's really our goal at Zillo is to help more

0:14:45.200 --> 0:14:47.080
<v Speaker 7>of our audience turn into transactions.

0:14:47.160 --> 0:14:48.560
<v Speaker 3>Yeah, and I will point out the stock was up

0:14:48.600 --> 0:14:50.800
<v Speaker 3>about twenty eight percent last year and up about almost

0:14:50.840 --> 0:14:53.440
<v Speaker 3>eighty percent and twenty twenty three. In terms of the

0:14:53.640 --> 0:14:56.720
<v Speaker 3>stress though, or maybe you're you know, kind of cautious

0:14:56.720 --> 0:14:58.720
<v Speaker 3>outlook in terms of the housing market, is it all

0:14:58.760 --> 0:15:01.160
<v Speaker 3>about mortgage rate to higher mortgage rates.

0:15:01.480 --> 0:15:04.160
<v Speaker 7>Yeah, the challenge or the housing market starts with mortgage rates,

0:15:04.160 --> 0:15:08.560
<v Speaker 7>but it's really about availability and supply. We are expecting

0:15:08.760 --> 0:15:11.960
<v Speaker 7>flat ish total dollar value housing market in Q one

0:15:12.160 --> 0:15:14.280
<v Speaker 7>and load to mid single digit growth for the year.

0:15:14.560 --> 0:15:16.400
<v Speaker 7>And as you said, if you look, it's not like

0:15:16.440 --> 0:15:18.920
<v Speaker 7>twenty twenty four was that much better from a volume standpoint.

0:15:19.080 --> 0:15:22.200
<v Speaker 7>The real challenge is with mortgage rates. Saying Hi, affordability

0:15:22.200 --> 0:15:24.440
<v Speaker 7>is a challenge for buyers, but that really locks a

0:15:24.440 --> 0:15:26.480
<v Speaker 7>lot of sellers into their homes as well. Right a

0:15:26.560 --> 0:15:28.280
<v Speaker 7>seller is thinking about do they want to trade out

0:15:28.320 --> 0:15:30.920
<v Speaker 7>of that mortgage? Do they feel locked into that mortgage?

0:15:30.960 --> 0:15:34.320
<v Speaker 7>And many are foregoing listing their home and making that move.

0:15:34.400 --> 0:15:38.680
<v Speaker 7>So you're seeing still very low inventory. Inventory is up

0:15:38.800 --> 0:15:42.120
<v Speaker 7>eighteen percent from last year, but it's still down sharply

0:15:42.520 --> 0:15:46.600
<v Speaker 7>from pre pandemic norms, and so lack of supply really

0:15:46.600 --> 0:15:49.520
<v Speaker 7>makes a challenging for buyers. And then you add elevated

0:15:49.600 --> 0:15:51.320
<v Speaker 7>rates and what they can afford of what there is

0:15:51.320 --> 0:15:51.680
<v Speaker 7>to buy.

0:15:52.000 --> 0:15:55.200
<v Speaker 1>Jemmy, the cost of housing certainly a theme on and

0:15:55.400 --> 0:16:00.040
<v Speaker 1>last year's presidential race. I'm wondering if you think that

0:16:00.120 --> 0:16:04.760
<v Speaker 1>the federal government will be able to achieve bringing more

0:16:04.760 --> 0:16:06.880
<v Speaker 1>supply of housing online. This came up with the vice

0:16:06.880 --> 0:16:11.040
<v Speaker 1>presidential debate when Jade Vance talked about using federal lands

0:16:11.280 --> 0:16:13.600
<v Speaker 1>to build homes. Do you think the federal government will

0:16:13.640 --> 0:16:15.920
<v Speaker 1>have a meaningful effect on housing supply?

0:16:16.400 --> 0:16:17.680
<v Speaker 6>The real challenge was supply.

0:16:17.760 --> 0:16:20.400
<v Speaker 7>We talked about existing home inventory and what sellers are doing,

0:16:20.680 --> 0:16:24.680
<v Speaker 7>but we are chronically under built right we. Zilo estimates

0:16:24.720 --> 0:16:27.040
<v Speaker 7>about four and a half million homes have not been

0:16:27.080 --> 0:16:29.280
<v Speaker 7>built to keep up with the demand needed since the

0:16:29.280 --> 0:16:32.640
<v Speaker 7>global financial crisis. And the solution of those problems really

0:16:32.720 --> 0:16:35.880
<v Speaker 7>is at the state and local level. You need things

0:16:36.000 --> 0:16:39.680
<v Speaker 7>like permitting reform and removing red tape in the process

0:16:39.720 --> 0:16:42.800
<v Speaker 7>to get starts done quickly. You need tax incentives and

0:16:42.880 --> 0:16:45.880
<v Speaker 7>financing options so that builders can get their projects online

0:16:45.920 --> 0:16:49.080
<v Speaker 7>more quickly. So the totality of the problem, you know,

0:16:49.160 --> 0:16:51.360
<v Speaker 7>all nearly five million homes that we need to catch

0:16:51.400 --> 0:16:53.360
<v Speaker 7>up on. We're not going to do that overnight, but

0:16:53.880 --> 0:16:56.280
<v Speaker 7>slow and steady will definitely bring more supply to the market.

0:16:56.400 --> 0:16:58.640
<v Speaker 3>I do wonder though, too, you know, Jeremy, how much

0:16:58.720 --> 0:17:01.400
<v Speaker 3>the YEP I get that permitting. I mean, these are

0:17:01.520 --> 0:17:04.200
<v Speaker 3>problems that have played certainly the housing market I feel

0:17:04.200 --> 0:17:07.520
<v Speaker 3>like forever in terms of supply. But having said that,

0:17:08.000 --> 0:17:10.600
<v Speaker 3>how much too, is there some cautiousness on the part

0:17:10.600 --> 0:17:13.720
<v Speaker 3>of home builders who still everybody still remembers two thousand

0:17:13.720 --> 0:17:16.280
<v Speaker 3>and eight and the over bills. So is there also

0:17:16.880 --> 0:17:19.919
<v Speaker 3>a part of that as some of the components in

0:17:19.960 --> 0:17:20.639
<v Speaker 3>terms of supply.

0:17:21.160 --> 0:17:23.440
<v Speaker 7>Well, you're seeing places where it works well, right, I

0:17:23.480 --> 0:17:26.160
<v Speaker 7>mean Austin, Texas is one good example that we've highlighted

0:17:26.200 --> 0:17:28.760
<v Speaker 7>where a lot of multi family inventory and the rental

0:17:28.800 --> 0:17:31.160
<v Speaker 7>market has come online and you've actually seen rent prices

0:17:31.200 --> 0:17:34.719
<v Speaker 7>come down even with the population growth in Austin, And

0:17:34.760 --> 0:17:36.560
<v Speaker 7>so you know, you have to remember, if you zoom out,

0:17:36.600 --> 0:17:38.919
<v Speaker 7>there are still the counter forces of for sale and

0:17:38.960 --> 0:17:42.240
<v Speaker 7>rentals working together, and you know, when folks can't get

0:17:42.280 --> 0:17:44.359
<v Speaker 7>it done and find the home to buy, they end

0:17:44.440 --> 0:17:47.240
<v Speaker 7>up re renting, and you're seeing you know, rental inventory,

0:17:48.280 --> 0:17:50.040
<v Speaker 7>you know, grow to satisfy that demand as well. So

0:17:50.800 --> 0:17:53.560
<v Speaker 7>it is, as you said, it's a local issue. But

0:17:53.680 --> 0:17:55.639
<v Speaker 7>there are places where it's working well and there are

0:17:55.640 --> 0:17:56.960
<v Speaker 7>places where it can work even better.

0:17:57.040 --> 0:17:59.919
<v Speaker 1>We got a hotter than expected CPI print earlier today,

0:18:00.200 --> 0:18:04.280
<v Speaker 1>and my question is about how that changes the outlook

0:18:04.400 --> 0:18:07.080
<v Speaker 1>for rates for the year, and then in turn, how

0:18:07.080 --> 0:18:09.200
<v Speaker 1>that affects your business. Does your outlook for twenty twenty

0:18:09.200 --> 0:18:11.240
<v Speaker 1>five change if rates don't come down.

0:18:12.000 --> 0:18:15.320
<v Speaker 7>No, our outlook assumes a pretty lousy housing market. We

0:18:15.359 --> 0:18:19.240
<v Speaker 7>are expecting flatish housing market in Q one and load

0:18:19.280 --> 0:18:20.960
<v Speaker 7>of mid single digits for the year. And I think

0:18:20.960 --> 0:18:22.920
<v Speaker 7>we were maybe a little bit more embarrassed than most

0:18:23.000 --> 0:18:25.199
<v Speaker 7>heading into the year on how the housing market's going

0:18:25.240 --> 0:18:25.439
<v Speaker 7>to do.

0:18:25.520 --> 0:18:25.639
<v Speaker 8>Now.

0:18:25.680 --> 0:18:27.840
<v Speaker 7>The good news for Zillo is we're out growing the

0:18:27.880 --> 0:18:30.040
<v Speaker 7>category and we're gaining share. We did that in twenty

0:18:30.080 --> 0:18:32.560
<v Speaker 7>twenty four and we expected it again in twenty twenty five,

0:18:32.800 --> 0:18:35.200
<v Speaker 7>and that's in our for sale business, where we're helping

0:18:35.240 --> 0:18:38.560
<v Speaker 7>more buyers meet their agents. We're helping originate more mortgages.

0:18:38.840 --> 0:18:41.320
<v Speaker 7>That's also when our rentals business. Our rentals business grew

0:18:41.359 --> 0:18:43.800
<v Speaker 7>twenty five percent in Q four. We expect that to

0:18:43.880 --> 0:18:47.680
<v Speaker 7>accelerate in Q one as we bring more rental inventory

0:18:47.720 --> 0:18:49.840
<v Speaker 7>to more renters across slow Hey.

0:18:49.880 --> 0:18:52.600
<v Speaker 3>One thing I do wonder in our conversation coming off

0:18:52.640 --> 0:18:56.240
<v Speaker 3>of the hot CPI print Jeremy, is that maybe we

0:18:56.280 --> 0:18:58.800
<v Speaker 3>so certainly the rates market, the US rates market, the

0:18:58.840 --> 0:19:02.199
<v Speaker 3>treasury market reacts and move up today, but now the

0:19:02.280 --> 0:19:05.520
<v Speaker 3>talk has moved to maybe even the next move we

0:19:05.560 --> 0:19:09.000
<v Speaker 3>need to start thinking about the Fed raising rate. If

0:19:09.000 --> 0:19:11.200
<v Speaker 3>we see the Fed start to raise rates, what does

0:19:11.240 --> 0:19:13.320
<v Speaker 3>that do in your view to the housing market and

0:19:13.320 --> 0:19:15.240
<v Speaker 3>how might that impact your business?

0:19:16.000 --> 0:19:16.639
<v Speaker 6>Long term?

0:19:16.720 --> 0:19:20.040
<v Speaker 7>Real estate is a growth industry. You see volumes and

0:19:20.119 --> 0:19:23.840
<v Speaker 7>total value grow. Right now you're seeing depressed volumes because

0:19:23.840 --> 0:19:26.359
<v Speaker 7>of all the challenges, especially in the financial market with

0:19:26.359 --> 0:19:29.280
<v Speaker 7>affordability for buyers. But folks are getting it done and

0:19:29.320 --> 0:19:31.359
<v Speaker 7>they will get it done. And what we're here at

0:19:31.400 --> 0:19:34.200
<v Speaker 7>ZILLA to do is help them. Buyers who need to buy,

0:19:34.600 --> 0:19:37.960
<v Speaker 7>many of them are starting that conversation with financing rather

0:19:38.000 --> 0:19:41.640
<v Speaker 7>than just dreaming. We now see about as many buyers

0:19:41.640 --> 0:19:43.760
<v Speaker 7>start with what can I afford and can I even

0:19:43.760 --> 0:19:46.320
<v Speaker 7>buy right now? As they do dreaming, shopping and going

0:19:46.359 --> 0:19:49.400
<v Speaker 7>media an agent. So we've brought online tools like Buyability

0:19:49.680 --> 0:19:54.119
<v Speaker 7>to help them truly understand their personalized payment information. What

0:19:54.160 --> 0:19:56.960
<v Speaker 7>can they actually afford for themselves given their financial information,

0:19:57.240 --> 0:19:59.560
<v Speaker 7>so they can have confidence, go get a pre approval letter,

0:20:00.240 --> 0:20:02.199
<v Speaker 7>go make an offer and win a house. So it

0:20:02.280 --> 0:20:05.040
<v Speaker 7>is tough out there, it will remain challenging in twenty

0:20:05.080 --> 0:20:07.480
<v Speaker 7>twenty five, but folks can get it done. We're there

0:20:07.520 --> 0:20:09.840
<v Speaker 7>to help, and that's exactly what's driving the results you

0:20:09.880 --> 0:20:11.960
<v Speaker 7>saw from US in Q four and why we expect

0:20:11.960 --> 0:20:13.639
<v Speaker 7>to continue to grow and not go the category in

0:20:13.640 --> 0:20:14.400
<v Speaker 7>twenty twenty five.

0:20:14.600 --> 0:20:17.119
<v Speaker 3>Jeremy, you mentioned those buyability tools that you guys have

0:20:17.200 --> 0:20:19.480
<v Speaker 3>on your platform. What does that show you about? Is

0:20:19.480 --> 0:20:21.920
<v Speaker 3>it the first time home buyer that continues to find

0:20:21.960 --> 0:20:24.080
<v Speaker 3>it really difficult? Is it the trade up home buyer?

0:20:24.240 --> 0:20:26.440
<v Speaker 3>What does it tell you about kind of the home

0:20:26.480 --> 0:20:29.080
<v Speaker 3>buyer and in essence, the US consumer out there when

0:20:29.080 --> 0:20:30.119
<v Speaker 3>it comes to buying a house.

0:20:30.400 --> 0:20:32.320
<v Speaker 7>Yeah, I mean the demand and desire to buy a

0:20:32.320 --> 0:20:36.200
<v Speaker 7>home still persists and exists across all demographics. You're seeing

0:20:36.240 --> 0:20:38.800
<v Speaker 7>folks having to wait longer, save up more to make

0:20:38.840 --> 0:20:41.080
<v Speaker 7>that down payment, and so it gets tougher.

0:20:41.400 --> 0:20:43.000
<v Speaker 6>But you see, the strong.

0:20:42.800 --> 0:20:45.480
<v Speaker 7>Desire to buy a home really persist across all demographics,

0:20:45.480 --> 0:20:47.120
<v Speaker 7>and we see that in folks who are using Zillo.

0:20:47.440 --> 0:20:47.640
<v Speaker 1>Again.

0:20:47.680 --> 0:20:49.920
<v Speaker 7>As I said, one of the things that is interesting

0:20:49.920 --> 0:20:53.359
<v Speaker 7>to us is how much more financing and total cost

0:20:53.359 --> 0:20:56.240
<v Speaker 7>of ownership is front and center for a buyer before

0:20:56.280 --> 0:20:59.480
<v Speaker 7>they even start. You know, five ten years ago, everyone

0:20:59.520 --> 0:21:02.639
<v Speaker 7>wanted to start by shopping, by touring, by virtual touring,

0:21:02.680 --> 0:21:05.000
<v Speaker 7>by going into open houses, and now it's kind of

0:21:05.000 --> 0:21:07.919
<v Speaker 7>a balance as many folks want to start in that state,

0:21:08.000 --> 0:21:10.040
<v Speaker 7>as they want to start with just the reality of

0:21:10.400 --> 0:21:11.480
<v Speaker 7>what's my budget look like?

0:21:11.520 --> 0:21:13.200
<v Speaker 6>How do I set my budget.

0:21:12.800 --> 0:21:14.920
<v Speaker 7>And work with an agent to make sure the homes

0:21:14.920 --> 0:21:16.760
<v Speaker 7>I fall in love with the ones that can actually buy.

0:21:17.000 --> 0:21:17.200
<v Speaker 8>Hey.

0:21:17.240 --> 0:21:19.960
<v Speaker 1>One thing we also learned recently from you guys is

0:21:19.960 --> 0:21:24.280
<v Speaker 1>that Redfinn is teaming up with Zillo for rental listings.

0:21:24.280 --> 0:21:27.159
<v Speaker 1>This partnership, to me, it sort of looks like frenemies

0:21:27.200 --> 0:21:30.480
<v Speaker 1>teaming up. Like you guys are competitors here. Redfinn's market

0:21:30.560 --> 0:21:33.440
<v Speaker 1>cap is about two billion dollars. You're about eighteen billion dollars.

0:21:34.320 --> 0:21:37.359
<v Speaker 1>Do you end up buying Redfinn at a certain point.

0:21:37.760 --> 0:21:40.600
<v Speaker 7>We're really excited about this partnership we just announced with Redfinn.

0:21:40.840 --> 0:21:44.320
<v Speaker 7>It's a big step in our overall rental strategy. It's

0:21:44.359 --> 0:21:47.960
<v Speaker 7>important to zoom out and remember, unlike the for sale marketplace,

0:21:48.000 --> 0:21:50.840
<v Speaker 7>there's no national database for rentals. The big challenge a

0:21:50.920 --> 0:21:53.359
<v Speaker 7>renter has is they can't find all the supply. They

0:21:53.359 --> 0:21:55.960
<v Speaker 7>have a very short timeframe to find a place to rent,

0:21:55.960 --> 0:21:58.639
<v Speaker 7>and so they scour the internet, they scour offline looking.

0:21:58.680 --> 0:21:59.720
<v Speaker 6>So that's zilla strategy.

0:21:59.720 --> 0:22:02.960
<v Speaker 7>Can we organize more and more of the rental listings

0:22:02.960 --> 0:22:06.040
<v Speaker 7>out there nationwide so that renters on Zillo and on

0:22:06.080 --> 0:22:07.600
<v Speaker 7>our partner sites can find them.

0:22:08.080 --> 0:22:09.480
<v Speaker 6>That strategy is working great.

0:22:09.560 --> 0:22:12.919
<v Speaker 7>That's what's driving having the leading audience and growing audience

0:22:12.920 --> 0:22:16.040
<v Speaker 7>of renters, and that's bringing more property managers to Zillo

0:22:16.160 --> 0:22:18.960
<v Speaker 7>and our partner sites to want to advertise that audience.

0:22:19.000 --> 0:22:22.240
<v Speaker 7>So this partnership with Redfinn to power their rentals business

0:22:22.320 --> 0:22:24.840
<v Speaker 7>is just the next step in that strategy. Adding on

0:22:24.880 --> 0:22:27.040
<v Speaker 7>to this great partnership we forged with realter dot com

0:22:27.119 --> 0:22:30.800
<v Speaker 7>last year, it allows advertisers to come to Zilo and

0:22:30.880 --> 0:22:34.199
<v Speaker 7>get advertising in front of Zillo sites, redfin sites and

0:22:34.280 --> 0:22:36.600
<v Speaker 7>realtor sites to reach an even bigger set of renters.

0:22:36.680 --> 0:22:39.760
<v Speaker 7>And then renters get more choice, right, they see more inventory, which, again,

0:22:39.800 --> 0:22:42.240
<v Speaker 7>as I started, that's the big problem in rentals is

0:22:42.280 --> 0:22:43.920
<v Speaker 7>you cannot find all the inventory.

0:22:44.240 --> 0:22:46.320
<v Speaker 1>And forgive me that Redfinn market cap about one point

0:22:46.320 --> 0:22:48.760
<v Speaker 1>one billion dollars, so shy of two billion dollars. I

0:22:48.760 --> 0:22:50.680
<v Speaker 1>didn't hear a yes or a no, and no answer

0:22:50.720 --> 0:22:52.000
<v Speaker 1>to my question about whether or not.

0:22:52.080 --> 0:22:55.480
<v Speaker 7>Oh, no, no plans, now, no plans. We're very excited

0:22:55.480 --> 0:22:57.240
<v Speaker 7>about the partnership. We've worked with them on some other

0:22:57.240 --> 0:23:00.120
<v Speaker 7>things before and we love how culturally align they are

0:23:00.119 --> 0:23:02.120
<v Speaker 7>and just digitizing the transaction in real estate.

0:23:02.200 --> 0:23:05.040
<v Speaker 3>Well, along those lines, how are real estate companies holding

0:23:05.119 --> 0:23:07.600
<v Speaker 3>up through this extended housing market trough? I mean, any

0:23:07.600 --> 0:23:10.919
<v Speaker 3>opportunities for you guys to do some acquisitions as a result,

0:23:11.000 --> 0:23:13.639
<v Speaker 3>along maybe the lines of I don't know, partnerships, but

0:23:13.840 --> 0:23:14.960
<v Speaker 3>maybe even acquisitions.

0:23:15.359 --> 0:23:15.560
<v Speaker 6>Yeah.

0:23:15.600 --> 0:23:18.159
<v Speaker 7>The bright side of a challenge real estate market is

0:23:18.200 --> 0:23:21.760
<v Speaker 7>it really allows the best professionals to gain share. Right

0:23:21.800 --> 0:23:24.360
<v Speaker 7>when it's rainy and cloudy outside, those that do best

0:23:24.400 --> 0:23:27.119
<v Speaker 7>sometimes come out ahead. And what's great about that is

0:23:27.119 --> 0:23:30.119
<v Speaker 7>that aligns so nicely with Zillo strategy, right. Zillo strategy

0:23:30.200 --> 0:23:33.200
<v Speaker 7>is to partner with the best agents and agent teams

0:23:33.240 --> 0:23:36.000
<v Speaker 7>in the industry. Eighty percent of the agents that we

0:23:36.080 --> 0:23:39.440
<v Speaker 7>partner with are in that top twenty percent of producers nationwide.

0:23:39.480 --> 0:23:43.240
<v Speaker 7>So these are the folks that are operating businesses at scale,

0:23:43.440 --> 0:23:47.359
<v Speaker 7>training great agent teams to help delight customers. So even

0:23:47.400 --> 0:23:50.080
<v Speaker 7>when there's less transactions to do, and even when it's

0:23:50.080 --> 0:23:53.159
<v Speaker 7>a challenging conversation with many buyers and sellers, those folks

0:23:53.440 --> 0:23:56.280
<v Speaker 7>command great price, hold share and grow their business. And

0:23:56.320 --> 0:23:59.520
<v Speaker 7>so in some ways having a choppier or a depressed

0:23:59.520 --> 0:24:01.960
<v Speaker 7>housing market can advantage some of the best professionals.

0:24:02.160 --> 0:24:04.919
<v Speaker 1>Hey, we're asking every CEO we talked to these days

0:24:05.119 --> 0:24:09.160
<v Speaker 1>a couple of different questions about politics, about AI. Politics

0:24:09.160 --> 0:24:11.000
<v Speaker 1>is where I want to go and just hear from

0:24:11.040 --> 0:24:14.840
<v Speaker 1>you about how you view this new Trump administration in

0:24:14.960 --> 0:24:17.360
<v Speaker 1>terms of changes that you've made at the company as

0:24:17.359 --> 0:24:20.120
<v Speaker 1>a result, or what it means for you as a business.

0:24:20.840 --> 0:24:22.520
<v Speaker 7>One of the things you will focuses a lot on

0:24:22.760 --> 0:24:25.919
<v Speaker 7>is AI and AI as it comes to the list industry. Right,

0:24:26.000 --> 0:24:30.240
<v Speaker 7>both for us as employees, but more so for our customers.

0:24:30.280 --> 0:24:33.200
<v Speaker 7>And our partners, our agents, our loan officers, and we've

0:24:33.240 --> 0:24:37.639
<v Speaker 7>been investing in and innovating around AI for decades and

0:24:37.680 --> 0:24:40.000
<v Speaker 7>so now as general of AI comes to the forefront,

0:24:40.240 --> 0:24:44.000
<v Speaker 7>you know, we've been really advocating for responsible regulation around

0:24:44.040 --> 0:24:46.840
<v Speaker 7>AI that encourages and supports innovation so that companies like

0:24:46.920 --> 0:24:49.720
<v Speaker 7>Zilo can continue to innovate on behalf of the customer.

0:24:49.960 --> 0:24:52.119
<v Speaker 7>So one thing we're very excited about is to continued

0:24:52.200 --> 0:24:56.119
<v Speaker 7>progress on the ability to progress with AI. And you know,

0:24:56.200 --> 0:24:59.040
<v Speaker 7>AI for us is a feature, it is a tool

0:24:59.080 --> 0:25:01.280
<v Speaker 7>for our customers, for our employees, but in the real

0:25:01.359 --> 0:25:04.600
<v Speaker 7>estate industry, it's really about making the professionals more efficient

0:25:04.640 --> 0:25:05.240
<v Speaker 7>and effective.

0:25:05.320 --> 0:25:07.800
<v Speaker 6>Right, there's so much wasted.

0:25:07.400 --> 0:25:11.600
<v Speaker 7>Work, busy work, paperwork, back office work, and when you

0:25:11.680 --> 0:25:13.520
<v Speaker 7>talk to a great real estate agent or a great

0:25:13.520 --> 0:25:15.200
<v Speaker 7>loan officer, that's not what they want to be doing.

0:25:15.359 --> 0:25:17.520
<v Speaker 7>They want to be delighting customers, they want to be

0:25:17.560 --> 0:25:20.240
<v Speaker 7>winning more business, they want to be getting more transactions done.

0:25:20.320 --> 0:25:21.840
<v Speaker 6>So we're really excited about the.

0:25:21.840 --> 0:25:24.399
<v Speaker 7>Ability to continue to lean in and innovate not just

0:25:24.440 --> 0:25:27.960
<v Speaker 7>on our tech platform generally, but on AI specifically, to

0:25:28.119 --> 0:25:31.239
<v Speaker 7>really bring more of this transaction into your smartphone, make

0:25:31.280 --> 0:25:33.280
<v Speaker 7>it more delightful and faster for the customer.

0:25:33.400 --> 0:25:36.040
<v Speaker 3>All right, Jeremy, One last question is also a question

0:25:36.119 --> 0:25:39.679
<v Speaker 3>we are asking to heads of company CEOs and a

0:25:39.920 --> 0:25:42.480
<v Speaker 3>like anything that could come out of Washington and the

0:25:42.520 --> 0:25:45.119
<v Speaker 3>new administration that could help or hurt your business.

0:25:45.640 --> 0:25:49.320
<v Speaker 7>Zillow is really focused on ensuring that real estate stays

0:25:49.440 --> 0:25:54.160
<v Speaker 7>accessible for the customer. We've outlined our principles for the consumer,

0:25:54.200 --> 0:25:59.680
<v Speaker 7>which are around transparency, access, and affordability, and any policies

0:25:59.680 --> 0:26:01.920
<v Speaker 7>that come we look to help make sure they push

0:26:02.000 --> 0:26:04.600
<v Speaker 7>forward and ensure that consumers have access to all the

0:26:04.600 --> 0:26:07.800
<v Speaker 7>information that's out there, have access to great professionals, and

0:26:07.880 --> 0:26:09.880
<v Speaker 7>have better education on how the real estate industry works.

0:26:09.880 --> 0:26:12.280
<v Speaker 7>Real estate is one of the largest industries that there

0:26:12.359 --> 0:26:15.400
<v Speaker 7>is and it's the single biggest decision that most individuals

0:26:15.440 --> 0:26:18.160
<v Speaker 7>are going to make. So making sure that people understand

0:26:18.160 --> 0:26:21.199
<v Speaker 7>how it works, making sure that they have access to

0:26:21.520 --> 0:26:24.080
<v Speaker 7>hiring the best professionals, that's one of the things we're

0:26:24.160 --> 0:26:26.199
<v Speaker 7>very focus on Zilla, and we continue we will continue

0:26:26.200 --> 0:26:26.800
<v Speaker 7>to be so you're.

0:26:26.720 --> 0:26:29.119
<v Speaker 3>Hopeful that the administration the policies will be supportive of

0:26:29.160 --> 0:26:29.760
<v Speaker 3>the housing market.

0:26:29.920 --> 0:26:32.680
<v Speaker 7>Yeah, We've been around for twenty years and have been

0:26:32.720 --> 0:26:35.919
<v Speaker 7>fortunate to work with both both administrations, and again, as

0:26:35.920 --> 0:26:37.800
<v Speaker 7>we talked about earlier, one of the real challenges in

0:26:37.840 --> 0:26:39.720
<v Speaker 7>our industry is so much is done at the state

0:26:39.760 --> 0:26:42.879
<v Speaker 7>and the local level to make sure that real estate

0:26:42.880 --> 0:26:45.160
<v Speaker 7>can flow for the benefit of the buyer and seller.

0:26:45.280 --> 0:26:47.160
<v Speaker 3>Really good point, Jeremy, Thank you for all this time.

0:26:47.240 --> 0:26:50.560
<v Speaker 3>Jeremy Waxman. He's chief executive officer of Zilo, joining us.

0:26:51.200 --> 0:26:54.760
<v Speaker 2>You're listening to the Bloomberg Business Week Podcast. Catch us

0:26:54.840 --> 0:26:58.280
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:26:58.320 --> 0:27:01.879
<v Speaker 2>on Apple, CarPlay and Android with the Bloomberg Business app,

0:27:02.000 --> 0:27:06.080
<v Speaker 2>or watch us live on YouTube at Lassian.

0:27:06.160 --> 0:27:08.960
<v Speaker 3>It's the more than eighty billion dollar market cap enterprise

0:27:09.000 --> 0:27:13.280
<v Speaker 3>software company behind Jira, Confluence, Trello, and more. It has

0:27:13.359 --> 0:27:16.679
<v Speaker 3>more than three hundred thousand customers all over the world,

0:27:17.040 --> 0:27:18.600
<v Speaker 3>so it's got a great view on the health of

0:27:18.640 --> 0:27:21.439
<v Speaker 3>tech spending and businesses both big and small.

0:27:21.640 --> 0:27:24.400
<v Speaker 1>The company was co founded by Mike cannon Brooks, who's

0:27:24.400 --> 0:27:28.320
<v Speaker 1>also CEO. The billionaire invests in renewable energy and efforts

0:27:28.359 --> 0:27:31.320
<v Speaker 1>to combat climate change. He joined us to talk about

0:27:31.359 --> 0:27:35.400
<v Speaker 1>his company, current macro issues, yes, tariffs, and some news

0:27:35.400 --> 0:27:37.480
<v Speaker 1>he had this week. In the world of F one.

0:27:37.400 --> 0:27:40.000
<v Speaker 9>Racing, there's no doubt it's a busy world at the moment,

0:27:40.080 --> 0:27:43.919
<v Speaker 9>and it there's a lot going on. My strategy has

0:27:44.000 --> 0:27:46.679
<v Speaker 9>been almost ridiculously simple most of the time, which is

0:27:47.440 --> 0:27:50.600
<v Speaker 9>just to work out what the business needs. And normally

0:27:50.640 --> 0:27:52.160
<v Speaker 9>the best way you can figure out what we should

0:27:52.160 --> 0:27:53.639
<v Speaker 9>spend our time on a new given day is to

0:27:53.920 --> 0:27:56.040
<v Speaker 9>look at your customers and go talk to them. And

0:27:56.080 --> 0:28:00.320
<v Speaker 9>that doesn't mean it's simple. They are facing low, different

0:28:00.320 --> 0:28:03.480
<v Speaker 9>global effects in parts of the world, and so you know,

0:28:03.720 --> 0:28:05.879
<v Speaker 9>if we work out how we can help them. That

0:28:06.400 --> 0:28:10.520
<v Speaker 9>usually is our simplest way to gain some focus in

0:28:10.520 --> 0:28:12.520
<v Speaker 9>an otherwise highly confusing world when.

0:28:12.400 --> 0:28:13.199
<v Speaker 10>There's a lot going on.

0:28:13.359 --> 0:28:15.119
<v Speaker 1>To what extent, though, do you have to increase your

0:28:15.200 --> 0:28:18.480
<v Speaker 1>value to them because their margins get squeezed as the

0:28:18.480 --> 0:28:21.760
<v Speaker 1>result of tariffs, as the result of a potential trade war.

0:28:21.920 --> 0:28:23.480
<v Speaker 1>What do you have to do to prove to them

0:28:23.520 --> 0:28:24.879
<v Speaker 1>that you're worth spending money on?

0:28:25.480 --> 0:28:25.720
<v Speaker 10>Sure?

0:28:25.720 --> 0:28:30.080
<v Speaker 9>Look at Lastian's products are all about collaboration and efficiency

0:28:30.080 --> 0:28:33.600
<v Speaker 9>for companies. Right We help teams of people. Our mission

0:28:33.640 --> 0:28:36.560
<v Speaker 9>is to unleash the potential of every team has been

0:28:36.640 --> 0:28:40.360
<v Speaker 9>for decades and our job is to make sure that

0:28:40.360 --> 0:28:42.680
<v Speaker 9>we explain to customers how our software can do that,

0:28:43.640 --> 0:28:46.600
<v Speaker 9>then have those customers adopt the software. Whether they're running projects,

0:28:46.640 --> 0:28:50.600
<v Speaker 9>whether they're looking at their strategic plans, whether they're building technology,

0:28:50.640 --> 0:28:53.080
<v Speaker 9>whatever it is that they're doing. We help them make

0:28:53.120 --> 0:28:56.520
<v Speaker 9>their technology teams work better with their business teams. And

0:28:56.840 --> 0:29:00.960
<v Speaker 9>we have always been an incredibly value conscious offering. You

0:29:01.000 --> 0:29:03.920
<v Speaker 9>get an incredible amount of value from Alastin for a

0:29:04.040 --> 0:29:08.560
<v Speaker 9>very low price, and that helps in tricky economic times.

0:29:08.560 --> 0:29:11.720
<v Speaker 9>But fundamentally we have to justify with the customers and

0:29:12.040 --> 0:29:15.920
<v Speaker 9>have them demonstrate to themselves ideally the value of our

0:29:15.960 --> 0:29:18.200
<v Speaker 9>software and how it makes them more efficient and work together.

0:29:19.080 --> 0:29:21.480
<v Speaker 9>And that's where I think we've kept a pretty clear

0:29:21.560 --> 0:29:23.360
<v Speaker 9>north star for a long time and why we have,

0:29:24.000 --> 0:29:27.000
<v Speaker 9>you know, three hundred thousand customers and it's still growing

0:29:27.000 --> 0:29:28.480
<v Speaker 9>strongly at the size we are today.

0:29:28.520 --> 0:29:31.560
<v Speaker 1>Well those three hundred customers, three hundred thousand customers, excuse me,

0:29:31.640 --> 0:29:34.280
<v Speaker 1>all over the world when you hear updates from your

0:29:34.280 --> 0:29:37.960
<v Speaker 1>global salesforce, are you hearing from that about any particular

0:29:38.080 --> 0:29:40.920
<v Speaker 1>concern in different regions of the world that could be

0:29:40.960 --> 0:29:45.080
<v Speaker 1>affected by tariffs, that are seeing weakness for other reasons

0:29:45.160 --> 0:29:46.840
<v Speaker 1>what's the read that you have on the globe from

0:29:46.880 --> 0:29:47.600
<v Speaker 1>your salesforce.

0:29:48.240 --> 0:29:50.520
<v Speaker 10>Look, there's always challenges in different parts of the world.

0:29:50.840 --> 0:29:52.640
<v Speaker 10>This is not new.

0:29:54.000 --> 0:29:56.800
<v Speaker 9>I think in any given small slice of time, we

0:29:56.840 --> 0:29:59.520
<v Speaker 9>see that we have very global companies, we have very

0:29:59.560 --> 0:30:03.560
<v Speaker 9>local companies in that three hundred thousand. Our customer base

0:30:03.560 --> 0:30:07.720
<v Speaker 9>has always spanned small businesses through to very very large businesses,

0:30:07.720 --> 0:30:08.600
<v Speaker 9>some of the largest.

0:30:08.320 --> 0:30:09.360
<v Speaker 10>Companies in the world.

0:30:09.800 --> 0:30:11.640
<v Speaker 9>In fact, we have like eighty five percent of the

0:30:11.680 --> 0:30:15.680
<v Speaker 9>Fortune five hundred as customers. You have a lot of

0:30:15.680 --> 0:30:17.880
<v Speaker 9>issues going on for a lot of different companies. Our

0:30:17.960 --> 0:30:20.200
<v Speaker 9>job is to make those companies more efficient. They still

0:30:20.240 --> 0:30:22.240
<v Speaker 9>have to deal with those issues. They have to run

0:30:23.120 --> 0:30:27.520
<v Speaker 9>projects and collaborate and communicate with each other. We help

0:30:27.560 --> 0:30:30.120
<v Speaker 9>them do that. We always have, and so whatever issues

0:30:30.160 --> 0:30:32.240
<v Speaker 9>they're dealing with, whether it's an issue of growth, whether

0:30:32.240 --> 0:30:35.640
<v Speaker 9>it's an issue with the tariff or a challenge Atlastian's

0:30:36.360 --> 0:30:38.840
<v Speaker 9>trying to help their teams deal with that issue more efficiently.

0:30:39.600 --> 0:30:41.360
<v Speaker 9>If we can't demonstrate their value, we're not going to

0:30:41.400 --> 0:30:44.240
<v Speaker 9>be around. So again, just sticking to that as the

0:30:44.280 --> 0:30:46.280
<v Speaker 9>north Star has been a very simple principle for a

0:30:46.320 --> 0:30:46.680
<v Speaker 9>long time.

0:30:46.720 --> 0:30:49.080
<v Speaker 3>But so Mike you're not seeing any signs of any

0:30:49.120 --> 0:30:51.960
<v Speaker 3>kind of slow down or pullback by some of your

0:30:52.000 --> 0:30:54.840
<v Speaker 3>customers as they kind of wait for the desk to settle.

0:30:54.880 --> 0:30:57.360
<v Speaker 3>I mean, we certainly feel like we're in it, you know,

0:30:57.400 --> 0:30:59.640
<v Speaker 3>as we have kicked off a new administration here and

0:31:00.160 --> 0:31:03.240
<v Speaker 3>every day are dissecting different headlines that come out of

0:31:03.280 --> 0:31:06.200
<v Speaker 3>the White House. But you know, there's geopolitical turbulence, as

0:31:06.240 --> 0:31:08.880
<v Speaker 3>you well know, around the world, and I think there's

0:31:08.960 --> 0:31:11.200
<v Speaker 3>you know, dust that needs to settle in different places.

0:31:11.240 --> 0:31:15.000
<v Speaker 3>So is there any signs of any hesitation that you're

0:31:15.040 --> 0:31:17.000
<v Speaker 3>seeing among customers or not yet?

0:31:17.160 --> 0:31:18.000
<v Speaker 10>Look from up one of you.

0:31:18.280 --> 0:31:21.800
<v Speaker 9>We continue to see you know, really good growth across

0:31:21.880 --> 0:31:24.080
<v Speaker 9>our customer base and especially.

0:31:23.720 --> 0:31:24.640
<v Speaker 10>In the enterprise segment.

0:31:24.720 --> 0:31:29.120
<v Speaker 9>So our largest customers those organizations with you know, more

0:31:29.120 --> 0:31:32.320
<v Speaker 9>than a thousand people around the world. We have more

0:31:32.320 --> 0:31:34.720
<v Speaker 9>than five hundred customers that spend more than a million

0:31:34.760 --> 0:31:36.719
<v Speaker 9>dollars a year now with at Lassian, and that is

0:31:37.360 --> 0:31:41.240
<v Speaker 9>our fastest growing customer segment. So I'm sure that those

0:31:41.240 --> 0:31:43.840
<v Speaker 9>businesses are having to deal with all of that dust

0:31:43.920 --> 0:31:46.480
<v Speaker 9>in the air as you talked about, but at the

0:31:46.480 --> 0:31:48.400
<v Speaker 9>same time they have their own customers to deal with.

0:31:48.440 --> 0:31:51.160
<v Speaker 9>They still have their business to run, and whatever the

0:31:51.240 --> 0:31:53.280
<v Speaker 9>problems are, they have to deal with it, and so

0:31:53.440 --> 0:31:56.920
<v Speaker 9>our software helps their teams deal with whatever it is

0:31:56.960 --> 0:31:59.360
<v Speaker 9>that they need to do, how they handle their customers,

0:31:59.560 --> 0:32:01.920
<v Speaker 9>and also how do they handle whatever is going on

0:32:02.040 --> 0:32:04.520
<v Speaker 9>in whichever part of the world. As long as we

0:32:04.640 --> 0:32:07.960
<v Speaker 9>keep that value ratio great for our customers. We invest

0:32:08.120 --> 0:32:10.120
<v Speaker 9>very heavily in R and D and continue to develop

0:32:10.160 --> 0:32:13.560
<v Speaker 9>and build our software every single day. We have a

0:32:13.600 --> 0:32:17.640
<v Speaker 9>fantastic team. I'm not sure focusing on all that sort

0:32:17.680 --> 0:32:19.880
<v Speaker 9>of thing is very helpful for us all for our customers.

0:32:19.920 --> 0:32:21.760
<v Speaker 10>To be honest, they have their own customers to do

0:32:21.840 --> 0:32:22.120
<v Speaker 10>with and.

0:32:22.080 --> 0:32:24.040
<v Speaker 3>I should put out last month, you guys reported second

0:32:24.080 --> 0:32:27.520
<v Speaker 3>quarter results that beat expectations to raise your full your forecast,

0:32:27.560 --> 0:32:31.200
<v Speaker 3>and investors have definitely rewarded you big time. The ADRs

0:32:31.240 --> 0:32:32.880
<v Speaker 3>that trade in the United States are at more than

0:32:32.880 --> 0:32:34.840
<v Speaker 3>fifty percent tim in the past year.

0:32:35.160 --> 0:32:37.880
<v Speaker 1>Mike, I do want to talk a little bit about

0:32:37.880 --> 0:32:40.480
<v Speaker 1>different industries that you serve. We talk a lot about AI.

0:32:40.560 --> 0:32:42.160
<v Speaker 1>I know you guys are doing a lot with AI

0:32:42.480 --> 0:32:46.840
<v Speaker 1>as far as customers go, Customers that are using your product,

0:32:46.880 --> 0:32:49.320
<v Speaker 1>customers that are leaning into AI right now, are you

0:32:49.360 --> 0:32:52.600
<v Speaker 1>seeing more growth on the tech side of your business

0:32:52.600 --> 0:32:55.400
<v Speaker 1>in terms of those types of customers, given what we're

0:32:55.400 --> 0:32:57.400
<v Speaker 1>seeing come from the tech community over the last couple

0:32:57.440 --> 0:32:57.920
<v Speaker 1>of years.

0:32:58.480 --> 0:33:01.040
<v Speaker 10>Great question, I know as a huge topic among our

0:33:01.080 --> 0:33:05.600
<v Speaker 10>customer base. From a Lastian's point of view, we certainly believe.

0:33:05.840 --> 0:33:08.680
<v Speaker 9>All of the progress making in AI every week, in

0:33:08.720 --> 0:33:12.760
<v Speaker 9>every quarter at the moment is fantastic for our ability

0:33:12.840 --> 0:33:16.160
<v Speaker 9>to achieve our mission right. We can build better and

0:33:16.200 --> 0:33:18.840
<v Speaker 9>better products that more tailor and our.

0:33:18.800 --> 0:33:21.880
<v Speaker 10>Customized to the work that our customers are trying to do.

0:33:22.640 --> 0:33:25.840
<v Speaker 9>There's no doubt our core customer base what we like

0:33:25.880 --> 0:33:30.000
<v Speaker 9>to call technology driven companies, So companies that believe like

0:33:30.360 --> 0:33:31.520
<v Speaker 9>Williams Racing.

0:33:31.480 --> 0:33:34.200
<v Speaker 10>Or like a financial services company, they.

0:33:34.160 --> 0:33:38.400
<v Speaker 9>Both be the same that believe technology is their source

0:33:38.440 --> 0:33:40.920
<v Speaker 9>of competition. It's the way that they are going to

0:33:41.280 --> 0:33:45.480
<v Speaker 9>get an edge, survive or thrive in their industry. Any

0:33:45.520 --> 0:33:49.000
<v Speaker 9>of those businesses are deeply investing in AI in lots

0:33:49.000 --> 0:33:51.240
<v Speaker 9>of different ways. They are trying to work out how

0:33:51.240 --> 0:33:54.760
<v Speaker 9>this technology makes them more efficient, how it helps them

0:33:55.160 --> 0:33:59.600
<v Speaker 9>to compete. Fundamentally, at Lassian's role there is to invest

0:33:59.680 --> 0:34:01.280
<v Speaker 9>very heavy is we have done in the R and

0:34:01.360 --> 0:34:05.040
<v Speaker 9>D of actually bringing AI to our customers. So we're

0:34:05.040 --> 0:34:07.680
<v Speaker 9>a big believer that if we don't ship software that

0:34:07.760 --> 0:34:09.799
<v Speaker 9>people can use, the rest of it doesn't matter.

0:34:09.840 --> 0:34:11.120
<v Speaker 10>It's all just kind of talk.

0:34:11.640 --> 0:34:15.399
<v Speaker 9>So our investment has been in taking those AI innovations

0:34:15.920 --> 0:34:20.760
<v Speaker 9>and developments every week, every month, incredibly rapidly and getting

0:34:20.800 --> 0:34:22.759
<v Speaker 9>them to our customers in a form that they can use.

0:34:23.680 --> 0:34:25.200
<v Speaker 9>We have done that, and it's one of the things

0:34:25.239 --> 0:34:27.480
<v Speaker 9>it's one of the things that last and Williams raising

0:34:27.520 --> 0:34:29.160
<v Speaker 9>teams most excited about it. It's one of the things that

0:34:29.239 --> 0:34:30.880
<v Speaker 9>all our customers are talking about is how they can

0:34:30.960 --> 0:34:33.880
<v Speaker 9>make their businesses more efficient, especially as you mentioned in

0:34:34.160 --> 0:34:36.320
<v Speaker 9>the Current Times, which is a big challenge.

0:34:36.440 --> 0:34:38.480
<v Speaker 3>One last question about AI before we talk about some

0:34:38.520 --> 0:34:40.840
<v Speaker 3>of the news you guys had this week. Our Bloomberg

0:34:40.840 --> 0:34:44.600
<v Speaker 3>Intelligence team, our in house group of analysts noting that

0:34:44.640 --> 0:34:47.920
<v Speaker 3>it may threaten your seat based sales model. They say

0:34:47.960 --> 0:34:53.000
<v Speaker 3>deep seeks, cost effective model of training llms can bolster

0:34:53.080 --> 0:34:55.840
<v Speaker 3>AI adoption, driving a shift of work to digital agents

0:34:55.840 --> 0:34:58.440
<v Speaker 3>from humans, and so they say that's a risk for

0:34:58.480 --> 0:35:02.560
<v Speaker 3>some of the enterprise software players with CP based revenue models,

0:35:02.600 --> 0:35:06.440
<v Speaker 3>including yourself and some others. So will it could the

0:35:07.000 --> 0:35:09.160
<v Speaker 3>deep seek have an impact like that on your business.

0:35:09.640 --> 0:35:12.840
<v Speaker 9>Look, we certainly deeply believe in the fact that agents

0:35:12.960 --> 0:35:15.240
<v Speaker 9>are going to make a huge difference to businesses around

0:35:15.239 --> 0:35:19.520
<v Speaker 9>the world. We're already seeing that we are very much

0:35:19.560 --> 0:35:22.120
<v Speaker 9>on the leading edge of that technology. We shipped our

0:35:22.160 --> 0:35:25.160
<v Speaker 9>product Rovo a year and almost a year and a

0:35:25.200 --> 0:35:27.319
<v Speaker 9>half ago now and have continued to update it and

0:35:27.400 --> 0:35:30.799
<v Speaker 9>have now more than a million users waking up and

0:35:30.880 --> 0:35:35.000
<v Speaker 9>using Lassian AI technologies, including all of our agents every day.

0:35:35.480 --> 0:35:39.600
<v Speaker 9>You know, we take the position that AI fundamentally is

0:35:39.800 --> 0:35:42.400
<v Speaker 9>about unleashing some form of human creativity.

0:35:42.480 --> 0:35:42.680
<v Speaker 10>Right.

0:35:42.680 --> 0:35:46.919
<v Speaker 9>It lets people do more with less. It helps them

0:35:47.000 --> 0:35:52.640
<v Speaker 9>to be creative. It's a fantastical tool. That tool, there's

0:35:52.680 --> 0:35:55.239
<v Speaker 9>no doubt, makes people able to do more. You can

0:35:55.280 --> 0:35:57.920
<v Speaker 9>write more software, you can answer more emails, you can

0:35:57.960 --> 0:35:59.520
<v Speaker 9>do whatever it is that you want to do, and

0:35:59.560 --> 0:36:01.640
<v Speaker 9>you can do it more creatively and at a higher level.

0:36:02.320 --> 0:36:04.560
<v Speaker 9>The thing with most of the industries that we work in,

0:36:04.640 --> 0:36:07.240
<v Speaker 9>right we sell to knowledge workers around the world, people

0:36:07.239 --> 0:36:09.320
<v Speaker 9>that spend the day sitting at a laptop or behind

0:36:09.320 --> 0:36:13.880
<v Speaker 9>a computer and using fundamentally brain creativity to try to

0:36:13.920 --> 0:36:17.120
<v Speaker 9>improve whatever business they're working in. Those are usually not

0:36:17.680 --> 0:36:21.960
<v Speaker 9>supply limited by human creativity. If you take software engineering

0:36:21.960 --> 0:36:24.960
<v Speaker 9>as a field, if we made all software engineers in

0:36:24.960 --> 0:36:27.560
<v Speaker 9>the world twice as effective, the question is would we

0:36:27.600 --> 0:36:29.680
<v Speaker 9>have half as many software engineers or would we build

0:36:29.680 --> 0:36:32.439
<v Speaker 9>twice as much software. I think we'd end up building

0:36:32.480 --> 0:36:35.160
<v Speaker 9>twice as much software, not the other way around, because

0:36:35.520 --> 0:36:37.480
<v Speaker 9>we don't have a shortage of ideas of what we

0:36:37.480 --> 0:36:40.640
<v Speaker 9>would like to build. In the world, most businesses don't

0:36:40.640 --> 0:36:42.280
<v Speaker 9>get everything they need to get done.

0:36:42.800 --> 0:36:44.640
<v Speaker 10>All our agents are doing is helping.

0:36:44.360 --> 0:36:47.640
<v Speaker 9>Those businesses to achieve more, and they'll all be competitive

0:36:47.640 --> 0:36:50.160
<v Speaker 9>with each other as well, so there's a natural are

0:36:50.440 --> 0:36:52.960
<v Speaker 9>of conservation of profits there as well.

0:36:53.080 --> 0:36:55.640
<v Speaker 3>Hey, Mike, I want to talk about some news you

0:36:55.640 --> 0:36:58.200
<v Speaker 3>had this week, and this is your partnership with Williams

0:36:58.239 --> 0:37:01.280
<v Speaker 3>Racing the F one team. Tell us about this partnership

0:37:01.320 --> 0:37:02.440
<v Speaker 3>and what you guys are going to be doing and

0:37:02.440 --> 0:37:03.920
<v Speaker 3>why you wanted to do it.

0:37:03.920 --> 0:37:05.839
<v Speaker 10>It's an incredibly exciting partnership for us.

0:37:06.520 --> 0:37:09.400
<v Speaker 9>It's from an Elastian point of view, it's the first

0:37:09.440 --> 0:37:11.719
<v Speaker 9>major brand deal. From the Williams point of view, it's

0:37:11.760 --> 0:37:15.279
<v Speaker 9>the first time it's the largest deal they've done. It

0:37:15.400 --> 0:37:18.560
<v Speaker 9>is the first time they've had a title partner and

0:37:18.600 --> 0:37:24.840
<v Speaker 9>a technology partner. Look, obviously, Williams is an amazing, storied

0:37:24.920 --> 0:37:27.520
<v Speaker 9>race team, right, one of the winningest teams of all

0:37:27.520 --> 0:37:34.080
<v Speaker 9>time and has had a challenging you know, last decade. However,

0:37:34.400 --> 0:37:37.839
<v Speaker 9>there is huge renewal going on in the Elasti Williams team.

0:37:37.920 --> 0:37:38.160
<v Speaker 10>Right.

0:37:38.400 --> 0:37:42.000
<v Speaker 9>This partnership is just one step new partnership, new driver,

0:37:42.200 --> 0:37:47.120
<v Speaker 9>new principles, new ownership, huge investment in digital transformation and

0:37:47.200 --> 0:37:50.000
<v Speaker 9>technology as a way to catch up and to win.

0:37:50.520 --> 0:37:53.719
<v Speaker 9>We are you know, I think eighty percent of the

0:37:53.760 --> 0:37:56.239
<v Speaker 9>teams on the Greed or more are Elassian customers and

0:37:56.280 --> 0:37:57.680
<v Speaker 9>have been for decades.

0:37:57.719 --> 0:38:01.239
<v Speaker 10>So this is a sport where technologies really important. It

0:38:01.320 --> 0:38:02.600
<v Speaker 10>is a sport where.

0:38:02.880 --> 0:38:07.239
<v Speaker 9>Technology teams, those building you know, fluidynamics models and wind

0:38:07.280 --> 0:38:10.840
<v Speaker 9>tunnels and cars and all of the monitoring technology that

0:38:10.880 --> 0:38:13.000
<v Speaker 9>goes into it, have to meet with the business teams,

0:38:13.040 --> 0:38:17.560
<v Speaker 9>those in the sponsorship groups. So our fundamental system of

0:38:17.560 --> 0:38:22.120
<v Speaker 9>work is what the company, well what at LASSI Williams

0:38:22.200 --> 0:38:25.040
<v Speaker 9>is trying to do and trying to embody we.

0:38:25.040 --> 0:38:27.360
<v Speaker 10>Then, obviously it's a global sport.

0:38:27.400 --> 0:38:30.080
<v Speaker 9>We have customers all around the world, but more importantly,

0:38:30.120 --> 0:38:31.960
<v Speaker 9>you know, having spent a lot of time now over

0:38:31.960 --> 0:38:35.040
<v Speaker 9>the last six months with the Williams team. This is

0:38:35.080 --> 0:38:37.400
<v Speaker 9>a really great cultural fit for Alassian. This is a

0:38:37.400 --> 0:38:40.839
<v Speaker 9>team of people who are working incredibly hard every day

0:38:41.000 --> 0:38:45.000
<v Speaker 9>to use technology to try to change their fundamental outcome.

0:38:45.880 --> 0:38:50.120
<v Speaker 9>They're on a massive journey of rebuild the culture. The

0:38:50.160 --> 0:38:53.839
<v Speaker 9>palpability of getting back to the Winner's circle is phenomenal,

0:38:54.960 --> 0:38:57.280
<v Speaker 9>and we just we fell in love with the story

0:38:57.280 --> 0:38:58.759
<v Speaker 9>and we're like, okay, we can help you do this.

0:39:00.080 --> 0:39:03.839
<v Speaker 9>Leaning very heavily into technology partnership, we have a lot

0:39:03.880 --> 0:39:06.040
<v Speaker 9>of things we can help them with to make their

0:39:06.040 --> 0:39:10.160
<v Speaker 9>business far more efficient and hopefully change the results of

0:39:10.200 --> 0:39:14.279
<v Speaker 9>the team, which is a mission that at Lastian now

0:39:14.280 --> 0:39:15.600
<v Speaker 9>has thousands of people working on.

0:39:15.680 --> 0:39:16.720
<v Speaker 10>So it's a sad.

0:39:16.520 --> 0:39:18.640
<v Speaker 1>About that it's a long term deal. It's been described

0:39:18.640 --> 0:39:21.319
<v Speaker 1>as a record breaking deal. Just for context. Can you

0:39:21.320 --> 0:39:23.319
<v Speaker 1>give us some of the numbers behind this deal, how

0:39:23.400 --> 0:39:24.239
<v Speaker 1>much it costs?

0:39:24.560 --> 0:39:26.759
<v Speaker 9>I can, Unfortunately, I can tell you that it is

0:39:26.920 --> 0:39:30.240
<v Speaker 9>certainly a long term deal. We're on the at Lastian

0:39:30.239 --> 0:39:33.920
<v Speaker 9>William's journey right and we are trying to use all

0:39:33.960 --> 0:39:35.920
<v Speaker 9>of our software and all of our technology in all

0:39:35.960 --> 0:39:39.200
<v Speaker 9>of our culture and our practices of how we work

0:39:39.680 --> 0:39:42.919
<v Speaker 9>to show fundamentally our customers and to show the world

0:39:43.000 --> 0:39:45.960
<v Speaker 9>that we can make a massive difference in what is

0:39:45.960 --> 0:39:50.759
<v Speaker 9>obviously an incredibly competitive industry. Right, it comes down to

0:39:51.480 --> 0:39:55.560
<v Speaker 9>hundreds of milliseconds. The gap between first and last on

0:39:55.600 --> 0:39:57.600
<v Speaker 9>the grid in the last race of last year was

0:39:57.600 --> 0:39:58.600
<v Speaker 9>the smallest it's ever been.

0:39:59.360 --> 0:40:02.200
<v Speaker 1>Is Okay, So we don't have the details on the

0:40:02.280 --> 0:40:05.960
<v Speaker 1>exact figures, but how do you justify ROI on this

0:40:06.400 --> 0:40:10.000
<v Speaker 1>given that it's such a big deal, and you know,

0:40:10.239 --> 0:40:13.000
<v Speaker 1>it's kind of hard to measure how many people will

0:40:13.040 --> 0:40:16.160
<v Speaker 1>become lass and customers as a result of this title sponsorship.

0:40:16.600 --> 0:40:20.920
<v Speaker 9>Look, we're we always have been an incredibly metric focused organization.

0:40:22.200 --> 0:40:24.960
<v Speaker 10>As a large bootstrap company. You don't get that way

0:40:25.000 --> 0:40:30.120
<v Speaker 10>without a numbers quickly. Look, we have a number of

0:40:30.200 --> 0:40:31.200
<v Speaker 10>success metrics here.

0:40:31.280 --> 0:40:35.319
<v Speaker 9>Firstly, always from a brand point of view, Formula one

0:40:35.360 --> 0:40:38.440
<v Speaker 9>is a very fast growing and global sport, and we have,

0:40:38.520 --> 0:40:41.360
<v Speaker 9>as I mentioned, customers in almost every country on the planet.

0:40:41.400 --> 0:40:44.719
<v Speaker 9>So we need to continue to have our brand and

0:40:44.760 --> 0:40:46.719
<v Speaker 9>our presence and our story told in a larger and

0:40:46.800 --> 0:40:48.960
<v Speaker 9>larger way around the world. But that's obviously worth a

0:40:48.960 --> 0:40:53.239
<v Speaker 9>lot of money to us. Secondly, as an enterprise opportunity,

0:40:54.040 --> 0:40:58.040
<v Speaker 9>the Formula one is you know, it's like a mobile

0:40:58.200 --> 0:41:01.440
<v Speaker 9>executive briefing center, right. It takes it's business. This is

0:41:01.480 --> 0:41:04.239
<v Speaker 9>a fantastical customer of it. Lastly, that we can take

0:41:04.280 --> 0:41:06.719
<v Speaker 9>to twenty four cities around the world, and in those

0:41:06.719 --> 0:41:09.840
<v Speaker 9>twenty four cities we can bring our biggest customers to

0:41:09.880 --> 0:41:12.759
<v Speaker 9>show them how Williams works, what we are doing to

0:41:12.760 --> 0:41:15.560
<v Speaker 9>help the team. And this is incredibly powerful in the

0:41:15.600 --> 0:41:20.600
<v Speaker 9>enterprise to be able to show real world examples of

0:41:21.040 --> 0:41:21.520
<v Speaker 9>what we can.

0:41:21.440 --> 0:41:22.360
<v Speaker 10>Do to help a customer.

0:41:22.520 --> 0:41:26.759
<v Speaker 3>Mike, just real quick. One last question the Formula one,

0:41:26.840 --> 0:41:29.759
<v Speaker 3>the FW four to seven car forty seven car that's

0:41:29.760 --> 0:41:32.200
<v Speaker 3>going to have your branding. I guess it gets unveiled.

0:41:33.280 --> 0:41:34.960
<v Speaker 3>I don't know really soon. Are you going to be

0:41:35.000 --> 0:41:36.560
<v Speaker 3>able to take it around the track? Have you been

0:41:36.640 --> 0:41:37.520
<v Speaker 3>told that you're good or.

0:41:39.840 --> 0:41:41.640
<v Speaker 9>Look, my driving skills might need a little bit of

0:41:41.760 --> 0:41:45.120
<v Speaker 9>work for that one. I've certainly sat in the car

0:41:45.280 --> 0:41:47.600
<v Speaker 9>and let me tell you that that is a challenging

0:41:47.680 --> 0:41:52.359
<v Speaker 9>job that is not as comfortable as my daily driver.

0:41:52.440 --> 0:41:53.000
<v Speaker 10>That's for sure.

0:41:53.880 --> 0:41:56.600
<v Speaker 9>It does get unveiled on Tuesday, and we're certainly really

0:41:56.640 --> 0:42:00.720
<v Speaker 9>exciting we've done some really innovative actually, I think for

0:42:00.719 --> 0:42:04.040
<v Speaker 9>for Formula one design work between the Elassin design team

0:42:04.040 --> 0:42:07.480
<v Speaker 9>and the Williams design team. So super excited to show

0:42:08.560 --> 0:42:12.279
<v Speaker 9>the world the car on Tuesday, and super excited to

0:42:12.400 --> 0:42:16.799
<v Speaker 9>show how we're trying to bring our collaboration and teamwork practices,

0:42:17.440 --> 0:42:19.600
<v Speaker 9>you know, right into that into that car in fact,

0:42:20.160 --> 0:42:23.040
<v Speaker 9>and into the garage, into all the mechanics and all

0:42:23.040 --> 0:42:24.600
<v Speaker 9>the strategist that work on the race as well.

0:42:24.680 --> 0:42:28.160
<v Speaker 10>So we're not just a digital company you'll see on Tuesday.

0:42:28.239 --> 0:42:30.880
<v Speaker 3>Don't totally need a AI for that, right, You just

0:42:30.960 --> 0:42:33.880
<v Speaker 3>need a really cool car, just going to say.

0:42:34.680 --> 0:42:36.640
<v Speaker 10>A lot of things to compete in the sport.

0:42:36.719 --> 0:42:39.480
<v Speaker 9>So we're on there, We're on the journey, we're learning

0:42:39.520 --> 0:42:41.680
<v Speaker 9>a lot, and we're putting our shoulder behind it.

0:42:41.840 --> 0:42:43.239
<v Speaker 1>Carol, I do feel like if you signed the check,

0:42:43.280 --> 0:42:44.080
<v Speaker 1>you can drive the car.

0:42:44.200 --> 0:42:44.399
<v Speaker 2>Yeah.

0:42:44.440 --> 0:42:46.279
<v Speaker 3>I'm just gonna say, Mike, you know, you do get

0:42:46.280 --> 0:42:48.560
<v Speaker 3>some leverage with all of this. I'm just gonna you know,

0:42:48.640 --> 0:42:50.399
<v Speaker 3>and the company name is going to be on the car,

0:42:50.480 --> 0:42:52.160
<v Speaker 3>so you should be able to take it out for

0:42:52.160 --> 0:42:52.479
<v Speaker 3>a spin.

0:42:52.760 --> 0:42:54.320
<v Speaker 9>Look, I would also say it might not be a

0:42:54.360 --> 0:42:56.680
<v Speaker 9>good idea for the Williams team or the Elassin team.

0:42:56.680 --> 0:43:00.520
<v Speaker 9>I'm not sure my team would think that's a great

0:43:00.560 --> 0:43:02.800
<v Speaker 9>idea for me to be driving. It's a three hundred

0:43:03.040 --> 0:43:05.399
<v Speaker 9>or more guys an hour round the track.

0:43:05.640 --> 0:43:08.360
<v Speaker 8>I hear, I hear you listen.

0:43:08.400 --> 0:43:10.200
<v Speaker 3>Thank you so much for notes later where you are,

0:43:10.239 --> 0:43:13.600
<v Speaker 3>but we so appreciate you joining us on this Thursday,

0:43:13.680 --> 0:43:16.120
<v Speaker 3>really really appreciating. Good luck with that partnership.

0:43:24.120 --> 0:43:27.879
<v Speaker 2>This is the Bloomberg Business Week Podcast. Listen live each

0:43:27.920 --> 0:43:30.879
<v Speaker 2>weekday starting at two pm Eastern on Apple car Play

0:43:31.000 --> 0:43:33.640
<v Speaker 2>and the Android Auto with the Bloomberg Business App. You

0:43:33.680 --> 0:43:36.800
<v Speaker 2>can also listen live on Amazon Alexa from our flagship

0:43:36.920 --> 0:43:41.000
<v Speaker 2>New York station, Just say Alexa Play Bloomberg eleven thirty.

0:43:42.480 --> 0:43:44.439
<v Speaker 3>Plenty ahead in our second hour of the weekend edition

0:43:44.480 --> 0:43:48.520
<v Speaker 3>oft Bloomberg Business Week, including how technology can humanize classrooms

0:43:48.560 --> 0:43:50.000
<v Speaker 3>with the founder of con Academy.

0:43:50.200 --> 0:43:52.920
<v Speaker 1>Plus Valentine's Day may now be in the rear view mirror,

0:43:53.040 --> 0:43:56.160
<v Speaker 1>which means those in the flower industry are already thinking

0:43:56.160 --> 0:43:59.880
<v Speaker 1>about their next big push. Mother's Day, The CEO of

0:43:59.880 --> 0:44:03.200
<v Speaker 1>the online flower delivery company Urban Stem stops by to

0:44:03.239 --> 0:44:07.360
<v Speaker 1>talk growth, tariffs, margins, and collaborations with the NFL.

0:44:07.640 --> 0:44:10.800
<v Speaker 3>And when Harry met Sally Sleeveless in Seattle, The Notebook

0:44:10.840 --> 0:44:13.720
<v Speaker 3>notting Hill, Bridget Jones, you know, Tim, those movies.

0:44:14.000 --> 0:44:15.840
<v Speaker 1>I cannot believe there's another Bridget Jones.

0:44:15.840 --> 0:44:18.560
<v Speaker 3>Can I just say that, I know, I know, Well,

0:44:18.600 --> 0:44:21.000
<v Speaker 3>I gotta tell you the Romance movie apparently is getting

0:44:21.040 --> 0:44:23.040
<v Speaker 3>a bit of a makeover, and it might go in

0:44:23.080 --> 0:44:27.440
<v Speaker 3>a direction you uh probably weren't expecting. Also getting a

0:44:27.480 --> 0:44:30.840
<v Speaker 3>makeover gaming PCs. We're going to tackle Bloomberg pursuits a

0:44:30.840 --> 0:44:32.480
<v Speaker 3>little bit later on this hour.

0:44:32.680 --> 0:44:35.560
<v Speaker 1>First up, though, as the US Department of Education maybe

0:44:35.600 --> 0:44:38.880
<v Speaker 1>on the chopping block in the new administration, US Education

0:44:39.000 --> 0:44:42.480
<v Speaker 1>gets its annual report card, and let's just say it's

0:44:42.560 --> 0:44:43.560
<v Speaker 1>not great. That's right.

0:44:43.640 --> 0:44:45.919
<v Speaker 3>Reading scores for eighth graders have hit a record low,

0:44:46.040 --> 0:44:49.760
<v Speaker 3>math performance is struggling, and achievement gaps are whining despite

0:44:49.880 --> 0:44:51.480
<v Speaker 3>major federal investments.

0:44:51.760 --> 0:44:54.360
<v Speaker 1>Focusing on these gaps is Salcon, founder and CEO of

0:44:54.440 --> 0:44:58.320
<v Speaker 1>Cohn Academy, the nonprofit that provides free lessons in math, history, economics,

0:44:58.360 --> 0:45:01.960
<v Speaker 1>computer programming, and more. We started asking him if the

0:45:02.000 --> 0:45:03.359
<v Speaker 1>bad results surprised him.

0:45:03.840 --> 0:45:04.480
<v Speaker 8>Unfortunately not.

0:45:05.239 --> 0:45:08.520
<v Speaker 11>You know, we've and the Nate folks made this clear.

0:45:08.560 --> 0:45:11.200
<v Speaker 11>Also in their report. I think we still have the

0:45:11.200 --> 0:45:16.160
<v Speaker 11>effects of the pandemic nationwide. The scores nationally, both in

0:45:16.239 --> 0:45:18.680
<v Speaker 11>math and reading, both in fourth and eighth grade, still

0:45:18.680 --> 0:45:21.640
<v Speaker 11>haven't recovered from the twenty nineteen level. This is true

0:45:21.640 --> 0:45:25.279
<v Speaker 11>in almost every state as well. And it's you know,

0:45:25.360 --> 0:45:28.160
<v Speaker 11>we had big gaps then a lot of kids kind

0:45:28.160 --> 0:45:30.640
<v Speaker 11>of fell off the rails then and haven't fully gotten

0:45:30.680 --> 0:45:31.040
<v Speaker 11>back on.

0:45:31.440 --> 0:45:33.640
<v Speaker 8>And then there's just a lot of you.

0:45:33.600 --> 0:45:38.080
<v Speaker 11>Know, complexity in serving different groups of students and demographic mix, etc.

0:45:38.320 --> 0:45:40.520
<v Speaker 8>That probably has made it even harder. You know.

0:45:40.560 --> 0:45:45.319
<v Speaker 3>What's worrying too, is that I think some would say

0:45:45.360 --> 0:45:51.000
<v Speaker 3>it's it's the pandemic, yes, but we've had problems with

0:45:51.120 --> 0:45:54.840
<v Speaker 3>our education system right across the country for a while here,

0:45:55.680 --> 0:45:57.719
<v Speaker 3>and it feels like the gaps are widening. I mean,

0:45:57.920 --> 0:45:59.919
<v Speaker 3>I want to ask you, I am curious, so because

0:45:59.880 --> 0:46:02.920
<v Speaker 3>you've been in this world for a long time, I mean,

0:46:03.520 --> 0:46:05.560
<v Speaker 3>what's happening with American education?

0:46:06.280 --> 0:46:06.480
<v Speaker 9>You know?

0:46:06.680 --> 0:46:09.680
<v Speaker 11>Unfortunately it's kind of a tale of two cities is

0:46:09.680 --> 0:46:13.400
<v Speaker 11>the right metaphor here? But and the NAPE scores validated

0:46:13.440 --> 0:46:16.720
<v Speaker 11>that the higher performing students actually started to pull further

0:46:16.760 --> 0:46:18.799
<v Speaker 11>and further ahead, and a lot of times when you

0:46:18.800 --> 0:46:20.560
<v Speaker 11>look at some of these Pieza rankings, when we compare

0:46:20.600 --> 0:46:22.960
<v Speaker 11>ourselves to other countries, et cetera. If you were to

0:46:23.000 --> 0:46:27.160
<v Speaker 11>separate some of the higher performing, wealthier schools and the suburbs,

0:46:27.160 --> 0:46:30.399
<v Speaker 11>et cetera, they actually can compete with anyone in the world,

0:46:30.520 --> 0:46:32.320
<v Speaker 11>actually do better than anyone in the world. But I

0:46:32.320 --> 0:46:37.760
<v Speaker 11>think you have other large chunks of America where they're

0:46:37.840 --> 0:46:40.759
<v Speaker 11>really really lagging, And these NAPE scores only only validated

0:46:41.040 --> 0:46:43.360
<v Speaker 11>you had a third of eighth graders didn't even have

0:46:43.480 --> 0:46:47.520
<v Speaker 11>basic reading comprehension. I just visited a school yesterday out

0:46:47.520 --> 0:46:52.400
<v Speaker 11>here in northern California, and I met two English language

0:46:52.440 --> 0:46:55.759
<v Speaker 11>learners who, you know, not only are they you know

0:46:55.840 --> 0:46:58.560
<v Speaker 11>obviously can't speak English, but they haven't gone to school before,

0:46:58.600 --> 0:47:00.920
<v Speaker 11>they haven't read before, or they can't read at all,

0:47:00.960 --> 0:47:04.239
<v Speaker 11>even in their native language. So I think when you

0:47:04.640 --> 0:47:08.279
<v Speaker 11>I think those types of difficulties are some of what

0:47:08.320 --> 0:47:10.759
<v Speaker 11>you're seeing here on top of on top of the pandemic.

0:47:11.080 --> 0:47:14.160
<v Speaker 11>And unfortunately I don't I don't think just doing more

0:47:14.200 --> 0:47:15.960
<v Speaker 11>of the same is actually the solution here. This is

0:47:15.960 --> 0:47:18.040
<v Speaker 11>something that we've always talked about at Kin Academy, is

0:47:18.320 --> 0:47:20.400
<v Speaker 11>how do we personalize education more, you know, And I

0:47:20.400 --> 0:47:22.839
<v Speaker 11>saw that teacher that that same teacher that had these

0:47:22.840 --> 0:47:25.799
<v Speaker 11>two students who couldn't read, who are fifth graders, also

0:47:25.880 --> 0:47:27.959
<v Speaker 11>had some students who are ready for ninth grade math.

0:47:28.480 --> 0:47:30.640
<v Speaker 11>So they had a huge spread in that same classroom.

0:47:30.680 --> 0:47:32.520
<v Speaker 11>And you can't just do one thing for all of

0:47:32.520 --> 0:47:35.640
<v Speaker 11>those thirty students. And that's where we think technology can

0:47:35.719 --> 0:47:38.600
<v Speaker 11>help that teacher address the needs of each each individual student.

0:47:38.680 --> 0:47:43.360
<v Speaker 3>You know, the President has has cited how the US

0:47:43.560 --> 0:47:48.640
<v Speaker 3>lags behind other Western nations despite federal spending on students,

0:47:48.800 --> 0:47:53.319
<v Speaker 3>and you know, he is looking to potentially dismantle the

0:47:53.360 --> 0:47:57.960
<v Speaker 3>Department of Education. Do you think that would be helpful?

0:47:58.719 --> 0:48:01.600
<v Speaker 11>You know, it's it. We'll need to see how it

0:48:01.640 --> 0:48:04.359
<v Speaker 11>all evolves. A lot of folks have been asking me this.

0:48:04.400 --> 0:48:06.520
<v Speaker 11>Even in our own team. We work obviously with a

0:48:06.560 --> 0:48:09.600
<v Speaker 11>lot of school districts. The Department of Education does a

0:48:09.640 --> 0:48:12.440
<v Speaker 11>lot of things, but they aren't a major major funder

0:48:12.600 --> 0:48:15.200
<v Speaker 11>of schools. Depending on what year you look at and

0:48:15.200 --> 0:48:18.920
<v Speaker 11>what schools, anywhere between three and ten percent of funding

0:48:18.960 --> 0:48:21.360
<v Speaker 11>in a given year comes from the federal Department of Education,

0:48:22.239 --> 0:48:25.120
<v Speaker 11>and it tends to be tied to certain programs so

0:48:25.160 --> 0:48:28.080
<v Speaker 11>some of those might suffer. Some of those are there

0:48:28.120 --> 0:48:30.239
<v Speaker 11>by law. One of our board members is a for

0:48:30.920 --> 0:48:33.040
<v Speaker 11>under Secretary of Education, and he was explaining to me

0:48:33.120 --> 0:48:35.799
<v Speaker 11>yesterday a day before yesterday at our board meeting, that

0:48:36.120 --> 0:48:37.640
<v Speaker 11>there are certain things in there that are just part

0:48:37.640 --> 0:48:40.680
<v Speaker 11>of law that even if the Department of Education were dismantled,

0:48:40.880 --> 0:48:42.840
<v Speaker 11>someone else would have to take it over the Department

0:48:42.880 --> 0:48:45.560
<v Speaker 11>of the Treasury, Department or Health and Human Services, etc.

0:48:45.920 --> 0:48:49.359
<v Speaker 11>So it's too early to tell exactly what the implications are,

0:48:49.360 --> 0:48:53.560
<v Speaker 11>but most of education spending and policy actually does happen

0:48:53.560 --> 0:48:54.600
<v Speaker 11>at the state and local level.

0:48:54.680 --> 0:48:57.600
<v Speaker 3>Yeah, so this is where you think about like state taxes, right,

0:48:57.719 --> 0:49:00.440
<v Speaker 3>or city taxes and so on and so forth that

0:49:00.480 --> 0:49:04.400
<v Speaker 3>really are the determining factor. How can AI help with

0:49:04.400 --> 0:49:06.400
<v Speaker 3>all of this? This is something you guys are certainly in

0:49:06.400 --> 0:49:09.720
<v Speaker 3>the middle of and improve the gaps that we see

0:49:09.960 --> 0:49:12.560
<v Speaker 3>within education across the United States.

0:49:12.880 --> 0:49:15.280
<v Speaker 8>Yeah, this is something that we're definitely leaning into.

0:49:15.400 --> 0:49:17.680
<v Speaker 11>And it's very easy to get enamored with technology, but

0:49:17.719 --> 0:49:19.839
<v Speaker 11>I remind everyone this isn't about the technology. It's about

0:49:19.840 --> 0:49:22.200
<v Speaker 11>the core problem you're trying to solve, And the problem

0:49:22.239 --> 0:49:23.919
<v Speaker 11>we're trying to solve is The one we started talking

0:49:23.960 --> 0:49:26.000
<v Speaker 11>about is you have a teacher in a classroom. Before

0:49:26.040 --> 0:49:28.759
<v Speaker 11>the pandemic, your average teacher had three grade levels in

0:49:28.800 --> 0:49:30.960
<v Speaker 11>the same classroom. They're all fifth graders, but some are

0:49:31.200 --> 0:49:33.120
<v Speaker 11>operating in a second or third grade level. Some of

0:49:33.120 --> 0:49:34.719
<v Speaker 11>them are ready to operate at a sixth or seventh

0:49:34.760 --> 0:49:37.360
<v Speaker 11>grade level. It's gotten worse since the pandemic, as we

0:49:37.440 --> 0:49:39.359
<v Speaker 11>just talked about. So if you're a teacher, how do

0:49:39.400 --> 0:49:41.160
<v Speaker 11>you address all of those needs? How do you make

0:49:41.160 --> 0:49:42.560
<v Speaker 11>sure some of the kids aren't bored and all some

0:49:42.560 --> 0:49:44.960
<v Speaker 11>of the kids aren't lost. And so the opportunity is, well,

0:49:45.000 --> 0:49:47.520
<v Speaker 11>what if you could personalize? In world class education has

0:49:47.560 --> 0:49:50.000
<v Speaker 11>always looked like one to one. I always point out

0:49:50.000 --> 0:49:52.840
<v Speaker 11>Alexander the Great had Aristotle as his personal tutor. We

0:49:52.840 --> 0:49:55.399
<v Speaker 11>couldn't afford to give every student that. But what kind

0:49:55.440 --> 0:49:57.520
<v Speaker 11>academy has been trying to do over the last fifteen

0:49:57.560 --> 0:50:00.320
<v Speaker 11>twenty years is well, maybe we could approximate element of

0:50:00.360 --> 0:50:04.080
<v Speaker 11>that with on demand video, with software and now generative AI.

0:50:04.400 --> 0:50:05.959
<v Speaker 11>I write a lot about it in my book Brave

0:50:06.000 --> 0:50:09.160
<v Speaker 11>New Words. We think generative AI. It's it's not going

0:50:09.200 --> 0:50:11.239
<v Speaker 11>to do everything, it's not on a silver bullet, but

0:50:11.440 --> 0:50:13.239
<v Speaker 11>Over time, it's going to get better and better at

0:50:13.280 --> 0:50:15.840
<v Speaker 11>being able to provide even more personalized support, not just

0:50:15.880 --> 0:50:17.960
<v Speaker 11>for students, but also also for teachers with things like

0:50:18.040 --> 0:50:20.600
<v Speaker 11>lesson plans and grading papers and writing progress reports.

0:50:20.719 --> 0:50:24.080
<v Speaker 1>Sally had you on back in May when Brave New

0:50:24.239 --> 0:50:27.239
<v Speaker 1>Words came out how AI will revolutionize education and why

0:50:27.280 --> 0:50:29.520
<v Speaker 1>that's a good thing. I spoke to someone yesterday who

0:50:29.520 --> 0:50:32.600
<v Speaker 1>talked about the pace of development when it comes to

0:50:32.640 --> 0:50:36.000
<v Speaker 1>AI is just unbelievable. Like he says, the world changes

0:50:36.040 --> 0:50:39.200
<v Speaker 1>every few months as a result of this technology. How

0:50:39.239 --> 0:50:40.840
<v Speaker 1>much has it changed since you wrote the book.

0:50:41.280 --> 0:50:42.480
<v Speaker 8>It was actually one of my fears when I was

0:50:42.480 --> 0:50:43.280
<v Speaker 8>writing the book.

0:50:43.120 --> 0:50:45.000
<v Speaker 11>Write a book by AI, I will to be outdated

0:50:45.000 --> 0:50:46.080
<v Speaker 11>of the day it comes out.

0:50:46.480 --> 0:50:48.040
<v Speaker 8>Luckily, I still think it's pretty you know.

0:50:48.040 --> 0:50:51.000
<v Speaker 11>I tried to make it pretty general, and even a

0:50:51.080 --> 0:50:53.440
<v Speaker 11>year ago, when when you know, I was finishing up

0:50:53.440 --> 0:50:55.520
<v Speaker 11>the writing, it was pretty clear how fast this was moving,

0:50:55.520 --> 0:50:57.040
<v Speaker 11>so I tried to make a little bit more evergreen.

0:50:57.239 --> 0:51:00.000
<v Speaker 11>But yeah, it's been mind blowingly fast. Not even every

0:51:00.040 --> 0:51:02.720
<v Speaker 11>few months, I would say, sometimes on a daily basis.

0:51:02.480 --> 0:51:04.680
<v Speaker 11>Things are things are evolving. A lot of what I

0:51:04.800 --> 0:51:07.720
<v Speaker 11>challenged the con Academy team is what can we uniquely

0:51:07.760 --> 0:51:09.920
<v Speaker 11>do as a nonprofit that other people aren't going to

0:51:09.920 --> 0:51:12.400
<v Speaker 11>have the horizon or the motivation to work on? And

0:51:12.440 --> 0:51:14.720
<v Speaker 11>what are we going to do that's really AI proof?

0:51:14.760 --> 0:51:16.440
<v Speaker 11>And we think a lot of it is how do

0:51:16.480 --> 0:51:18.799
<v Speaker 11>we connect humans together? Maybe using AI, but how do

0:51:18.800 --> 0:51:20.520
<v Speaker 11>we for more human connections?

0:51:20.640 --> 0:51:20.879
<v Speaker 8>Maybe?

0:51:20.880 --> 0:51:22.759
<v Speaker 11>How do how do people create proof that they know

0:51:22.840 --> 0:51:26.279
<v Speaker 11>something credentially? Once again, how do you how do you

0:51:26.320 --> 0:51:28.960
<v Speaker 11>make sure it's pedagogically sound as opposed to just you know,

0:51:29.000 --> 0:51:30.520
<v Speaker 11>throwing an AI in front of people.

0:51:31.040 --> 0:51:32.759
<v Speaker 8>But yes, it is definitely.

0:51:32.480 --> 0:51:35.000
<v Speaker 11>Something my head has spins almost on a daily basis.

0:51:35.320 --> 0:51:37.000
<v Speaker 11>But you know everyone feels that way.

0:51:37.800 --> 0:51:38.480
<v Speaker 4>You know, it's funny.

0:51:38.920 --> 0:51:41.040
<v Speaker 3>Forgive me for doing this, but I guess because it's

0:51:41.080 --> 0:51:43.440
<v Speaker 3>been front and center. You know, we're talking AI and

0:51:43.480 --> 0:51:46.600
<v Speaker 3>we've been watching what's been going on in the US government,

0:51:46.640 --> 0:51:52.160
<v Speaker 3>and The Washington Post had said representatives from Elon Musk's

0:51:52.280 --> 0:51:55.400
<v Speaker 3>Dose Service have had sensitive data from across the Education

0:51:55.520 --> 0:51:59.280
<v Speaker 3>Department into AI software to look into the agency's programs

0:51:59.280 --> 0:52:04.480
<v Speaker 3>and spending to people familiar AI being used to investigate

0:52:04.719 --> 0:52:10.880
<v Speaker 3>where there's personal data possibly accessed? You are in this world?

0:52:11.440 --> 0:52:14.759
<v Speaker 3>Is that something we should be concerned about whether it's

0:52:14.840 --> 0:52:17.000
<v Speaker 3>Department of Education or the Treasury Department.

0:52:17.520 --> 0:52:19.359
<v Speaker 11>Well, you know, I don't I'm not an expert on

0:52:19.440 --> 0:52:21.160
<v Speaker 11>exactly what has happened.

0:52:22.000 --> 0:52:24.080
<v Speaker 8>But yes, anytime we're talking about.

0:52:24.239 --> 0:52:27.279
<v Speaker 11>Data, data related to education in particular, you have to

0:52:27.280 --> 0:52:29.360
<v Speaker 11>be super cautious about how it's being used, especially if

0:52:29.360 --> 0:52:32.120
<v Speaker 11>it's potentially student data. This is something where we as

0:52:32.560 --> 0:52:34.440
<v Speaker 11>we take this very seriously as a nonprofit, and when

0:52:34.440 --> 0:52:36.239
<v Speaker 11>we go work with school districts we point out like

0:52:36.640 --> 0:52:39.080
<v Speaker 11>not every for profit company has the same incentives.

0:52:38.719 --> 0:52:40.680
<v Speaker 8>That we do. You have to be very cautious here

0:52:41.200 --> 0:52:42.040
<v Speaker 8>on how you use it.

0:52:42.360 --> 0:52:44.759
<v Speaker 11>Now if it's all on the up and up, and

0:52:44.800 --> 0:52:48.840
<v Speaker 11>I don't know, I don't know what the fine print

0:52:48.880 --> 0:52:51.520
<v Speaker 11>is on this data. You know, there could be uses

0:52:51.560 --> 0:52:53.759
<v Speaker 11>of AI where you can use it to make sense

0:52:53.800 --> 0:52:56.520
<v Speaker 11>of large amounts of information that otherwise, of you know,

0:52:56.520 --> 0:52:58.799
<v Speaker 11>an individual human being would never be able to sift through.

0:52:59.080 --> 0:53:02.160
<v Speaker 11>But yeah, I don't know details of how they're using it.

0:53:02.320 --> 0:53:03.120
<v Speaker 4>No, that's fair. Hey.

0:53:03.160 --> 0:53:05.399
<v Speaker 3>One other news thing that obviously we've been obsessed about

0:53:05.440 --> 0:53:07.960
<v Speaker 3>the last couple of weeks Deep Seek, you know, and

0:53:08.000 --> 0:53:12.200
<v Speaker 3>the prospect of AI maybe being less expensive to do,

0:53:13.120 --> 0:53:15.319
<v Speaker 3>and the models to be able to do. When I

0:53:15.320 --> 0:53:18.600
<v Speaker 3>think about education, might that make it even more accessible

0:53:20.040 --> 0:53:21.360
<v Speaker 3>for students around the globe?

0:53:21.560 --> 0:53:23.759
<v Speaker 11>Yeah, I mean I thought it was great news from

0:53:23.960 --> 0:53:26.160
<v Speaker 11>from our point of view. The costs have already come

0:53:26.200 --> 0:53:29.120
<v Speaker 11>down even before deep Seek by a factor of ten,

0:53:29.239 --> 0:53:31.319
<v Speaker 11>and so I expected that to continue. And then deep

0:53:31.320 --> 0:53:33.080
<v Speaker 11>Seek and some of their techniques I think is only

0:53:33.080 --> 0:53:33.960
<v Speaker 11>going to accelerate it.

0:53:34.520 --> 0:53:35.160
<v Speaker 8>But you know, I.

0:53:35.080 --> 0:53:37.719
<v Speaker 11>Also point out there's an unending amount of things that

0:53:37.760 --> 0:53:41.360
<v Speaker 11>we can use AI for. You know, basic chat bots

0:53:41.400 --> 0:53:45.040
<v Speaker 11>are going to become close to free, very cheap. But

0:53:45.120 --> 0:53:48.200
<v Speaker 11>now if the compute or if the if the applications

0:53:48.280 --> 0:53:50.640
<v Speaker 11>use less compute and the compute gets cheaper, we're going

0:53:50.680 --> 0:53:52.760
<v Speaker 11>to be able to do more real time, more audio,

0:53:52.880 --> 0:53:55.920
<v Speaker 11>more visual things. And yes, in education in other places,

0:53:55.920 --> 0:53:57.400
<v Speaker 11>I think that's only that's only a win for the

0:53:57.440 --> 0:53:58.320
<v Speaker 11>application developers.

0:53:58.400 --> 0:54:00.880
<v Speaker 1>What's the balance of technology in the classroom. It's a

0:54:00.880 --> 0:54:03.080
<v Speaker 1>discussion that we had with you last time, but it

0:54:03.120 --> 0:54:06.200
<v Speaker 1>seems like it's only becoming more and more of a thing.

0:54:06.760 --> 0:54:08.920
<v Speaker 1>How do you use technology as a tool but not

0:54:08.960 --> 0:54:09.719
<v Speaker 1>as a distraction.

0:54:10.120 --> 0:54:12.640
<v Speaker 11>Yeah, And we have a school out here in Northern

0:54:12.680 --> 0:54:14.760
<v Speaker 11>California's where my kids go to school con Lab School,

0:54:14.800 --> 0:54:16.640
<v Speaker 11>and you know, if you were to visit the school,

0:54:16.680 --> 0:54:18.920
<v Speaker 11>people say, oh, so sociocon Academy must be technology all

0:54:18.960 --> 0:54:19.200
<v Speaker 11>the time.

0:54:19.239 --> 0:54:20.920
<v Speaker 8>No, you'd actually see more human to.

0:54:20.960 --> 0:54:23.040
<v Speaker 11>Human interaction than you would see I think at almost

0:54:23.080 --> 0:54:25.600
<v Speaker 11>any other school. And I think it's all about I

0:54:25.640 --> 0:54:28.959
<v Speaker 11>would say maybe depending on the age as you get older,

0:54:29.000 --> 0:54:31.440
<v Speaker 11>middle school, high school, college, you could get up to

0:54:31.560 --> 0:54:34.839
<v Speaker 11>thirty forty fifty percent leveraging technology. You're going to code,

0:54:34.880 --> 0:54:36.760
<v Speaker 11>you're going to write a paper, you're going to edit video,

0:54:36.840 --> 0:54:39.920
<v Speaker 11>you're going to do personalized practice on con academy to

0:54:39.960 --> 0:54:41.880
<v Speaker 11>fill in your gaps. And then what that does is

0:54:41.920 --> 0:54:43.920
<v Speaker 11>that liberates the class time so that you don't have

0:54:43.960 --> 0:54:45.839
<v Speaker 11>to give the lectures anymore. You don't have a bunch

0:54:45.880 --> 0:54:48.160
<v Speaker 11>of kids with their fingers on their lips just passively listening.

0:54:48.320 --> 0:54:50.080
<v Speaker 11>You can have the kids work on harder problems. You

0:54:50.120 --> 0:54:52.040
<v Speaker 11>can they can do simulations, they can do games, and

0:54:52.040 --> 0:54:53.759
<v Speaker 11>that's what we try to do. And you know, I

0:54:53.760 --> 0:54:55.879
<v Speaker 11>always point out, even without technology, you can have very

0:54:55.880 --> 0:54:58.680
<v Speaker 11>dehumanizing classrooms, but if you use technology, well you could

0:54:58.719 --> 0:55:00.000
<v Speaker 11>have very humanizing classrooms.

0:55:00.440 --> 0:55:00.640
<v Speaker 6>Yeah.

0:55:00.719 --> 0:55:02.560
<v Speaker 3>Right, You just think about kind of where it could go.

0:55:02.600 --> 0:55:05.640
<v Speaker 3>And especially the idea of personalization in terms of teaching

0:55:05.680 --> 0:55:06.879
<v Speaker 3>could be really a cool thing.

0:55:07.080 --> 0:55:07.200
<v Speaker 4>You know.

0:55:07.239 --> 0:55:08.920
<v Speaker 3>The other thing I think about with teaching and AI

0:55:09.040 --> 0:55:11.080
<v Speaker 3>is I just think about if you're I was a

0:55:11.080 --> 0:55:13.799
<v Speaker 3>pretty shy kid and hard to believe, but like might

0:55:13.840 --> 0:55:16.560
<v Speaker 3>be afraid to like offer up an answer or something

0:55:16.560 --> 0:55:18.360
<v Speaker 3>because you think it's silly. But maybe if you're working

0:55:18.400 --> 0:55:22.680
<v Speaker 3>with an AI teacher or ta oh, like just think

0:55:22.719 --> 0:55:25.120
<v Speaker 3>about what you can maybe get out of that.

0:55:25.200 --> 0:55:28.520
<v Speaker 1>I think du Lingo said that they have these AI

0:55:29.520 --> 0:55:32.640
<v Speaker 1>educators rather than live people because they find that people

0:55:32.640 --> 0:55:35.200
<v Speaker 1>who are learning languages want to interact with that tech. Yeah,

0:55:35.200 --> 0:55:35.640
<v Speaker 1>that makes.

0:55:35.560 --> 0:55:37.759
<v Speaker 3>Completely sense on because you feel embarrassed about like your

0:55:37.800 --> 0:55:39.120
<v Speaker 3>pronunciations or something.

0:55:39.960 --> 0:55:43.520
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:55:43.600 --> 0:55:47.080
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:55:47.080 --> 0:55:50.600
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0:55:50.800 --> 0:55:53.440
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0:55:54.040 --> 0:55:57.360
<v Speaker 1>Valentine's Day and the time around it among the biggest

0:55:57.400 --> 0:56:00.400
<v Speaker 1>times a year when it comes to the flower industry,

0:56:00.440 --> 0:56:04.800
<v Speaker 1>So needless to say, Minakhi Lala is pretty busy right now.

0:56:05.080 --> 0:56:08.960
<v Speaker 1>She's the CEO at the online flower delivery company, Urban Stems.

0:56:09.320 --> 0:56:13.120
<v Speaker 1>She joins us from one of those facilities. Minakshi, thanks

0:56:13.160 --> 0:56:15.200
<v Speaker 1>so much for joining us. How's business?

0:56:15.480 --> 0:56:18.000
<v Speaker 12>Thank you so much for having me. It's busy, It's

0:56:18.040 --> 0:56:19.280
<v Speaker 12>our super Bowl weekend.

0:56:19.760 --> 0:56:22.320
<v Speaker 1>I mean contextualize that a little bit for us, Like, okay,

0:56:22.400 --> 0:56:25.439
<v Speaker 1>super Bowl sounds big. We know Mother's Day is big

0:56:25.480 --> 0:56:28.400
<v Speaker 1>also in terms of your revenue, Like how big is

0:56:28.440 --> 0:56:29.640
<v Speaker 1>this time period for the company?

0:56:30.120 --> 0:56:33.840
<v Speaker 12>So Urban Stems will ship about one point eight million

0:56:33.920 --> 0:56:37.400
<v Speaker 12>floral stems to people across forty eight states this weekend.

0:56:38.280 --> 0:56:41.879
<v Speaker 12>This holiday is our second peak bite cycle. Like you said,

0:56:41.920 --> 0:56:45.520
<v Speaker 12>Mother's Day is definitely our peak. But what has changed

0:56:45.520 --> 0:56:49.560
<v Speaker 12>this year is we are seeing consumers spend more than

0:56:49.600 --> 0:56:52.600
<v Speaker 12>they have in years prior on this holiday. Consumers are

0:56:52.640 --> 0:56:55.439
<v Speaker 12>expected to spend a record of twenty seven point five

0:56:55.640 --> 0:56:59.960
<v Speaker 12>billion dollars this year versus twenty five point eight billion

0:57:00.040 --> 0:57:03.960
<v Speaker 12>in last year. This is just slightly or cozy now

0:57:04.000 --> 0:57:07.160
<v Speaker 12>for slightly above the record breaking twenty seven point four

0:57:07.200 --> 0:57:10.239
<v Speaker 12>billion that was set in twenty twenty during COVID times.

0:57:10.440 --> 0:57:13.120
<v Speaker 3>Hey, so is that because things are costing more or

0:57:13.160 --> 0:57:16.160
<v Speaker 3>that there are actually more individual transactions?

0:57:16.520 --> 0:57:19.360
<v Speaker 12>They are more individual transactions. But what we are seeing

0:57:19.560 --> 0:57:24.880
<v Speaker 12>is that our customer is responding to higher value product.

0:57:25.360 --> 0:57:29.360
<v Speaker 12>If they see better design, better quality product that is

0:57:29.920 --> 0:57:32.520
<v Speaker 12>meaningful to them, they are investing dollars in It.

0:57:33.040 --> 0:57:36.200
<v Speaker 1>Remind us where you play in the ecosystem of flowers,

0:57:36.240 --> 0:57:39.080
<v Speaker 1>because the cost really runs the gamut. I mean, you

0:57:39.080 --> 0:57:41.760
<v Speaker 1>can spend as much as you want to spend to

0:57:41.760 --> 0:57:44.560
<v Speaker 1>get ab okay of flowers delivered to somebody. Where does

0:57:44.640 --> 0:57:46.600
<v Speaker 1>urban Where's Urban stems sweet spot?

0:57:46.920 --> 0:57:49.760
<v Speaker 12>So Urban Stems takes a lot of pride in saying

0:57:49.800 --> 0:57:53.240
<v Speaker 12>that we are we play in the higher average order

0:57:53.320 --> 0:57:57.200
<v Speaker 12>value in the higher AOV game, and our average basket

0:57:57.240 --> 0:58:00.480
<v Speaker 12>size is one hundred and twenty five dollars, already high

0:58:00.480 --> 0:58:04.640
<v Speaker 12>for flowers and for flowers that are shipped like flowers

0:58:05.160 --> 0:58:09.640
<v Speaker 12>for an e commerce business. And also to your point earlier, yes,

0:58:09.680 --> 0:58:13.560
<v Speaker 12>the cost of product has gone up. However, we have

0:58:13.680 --> 0:58:17.400
<v Speaker 12>seen that our customers tend to resonate towards the special.

0:58:17.440 --> 0:58:20.560
<v Speaker 12>They want uniqueness, they want differentiation, they want special product.

0:58:20.800 --> 0:58:25.560
<v Speaker 12>They don't want the conventional, the predictable, the standard one

0:58:25.600 --> 0:58:28.760
<v Speaker 12>dozen roses for Valentine's Day. They want something above and

0:58:28.800 --> 0:58:32.240
<v Speaker 12>beyond that. And we have seen ten percent growth in

0:58:32.280 --> 0:58:35.200
<v Speaker 12>our AOV year over year, and we are also seeing

0:58:35.200 --> 0:58:38.200
<v Speaker 12>our higher priced arrangements are selling ahead of plan with

0:58:38.240 --> 0:58:41.240
<v Speaker 12>a thirteen percent growth in average.

0:58:41.400 --> 0:58:43.720
<v Speaker 3>So you've been doing this for a while. Year after year,

0:58:43.800 --> 0:58:46.520
<v Speaker 3>You've gone through, right, some difficult times. I think about,

0:58:46.720 --> 0:58:48.840
<v Speaker 3>you know, so many of the businesses that we've talked

0:58:48.880 --> 0:58:50.880
<v Speaker 3>to you that had to kind of get themselves through

0:58:50.880 --> 0:58:53.720
<v Speaker 3>the pandemic, although I sent a fair amount of flowers

0:58:53.760 --> 0:58:57.400
<v Speaker 3>sometimes during the pandemic, and just you know, give us

0:58:57.440 --> 0:59:00.680
<v Speaker 3>an idea of how this business cycle is feeling versus

0:59:00.680 --> 0:59:02.840
<v Speaker 3>what we've seen maybe over the last few years, which

0:59:02.840 --> 0:59:05.240
<v Speaker 3>has you know, included some regular cycles and some very

0:59:05.360 --> 0:59:06.480
<v Speaker 3>unusual cycles.

0:59:06.880 --> 0:59:10.600
<v Speaker 12>Yeah, there was definitely a post pandemic adjustment in this business.

0:59:10.600 --> 0:59:13.360
<v Speaker 12>But our customers are opting in for more premier gift

0:59:13.400 --> 0:59:16.560
<v Speaker 12>options and they continue to be really focused on uniqueness

0:59:16.560 --> 0:59:20.560
<v Speaker 12>and value. When we talk about people celebrating, whether it's

0:59:20.600 --> 0:59:24.280
<v Speaker 12>Valentine's dates, birthdays, or anniversaries, they are coming to us

0:59:24.280 --> 0:59:27.920
<v Speaker 12>for unique product offerings and our partnership strategy. If we

0:59:28.000 --> 0:59:30.800
<v Speaker 12>give them reasons to buy, they are coming to us

0:59:30.800 --> 0:59:33.240
<v Speaker 12>and price does not seen to be a barrier. And hence,

0:59:33.360 --> 0:59:36.200
<v Speaker 12>you know, the metric I quoted earlier ten percent ao

0:59:36.240 --> 0:59:39.360
<v Speaker 12>we growth year over year. For a business like ours

0:59:39.360 --> 0:59:43.000
<v Speaker 12>that plays in the premium space, it's quite extraordinary.

0:59:43.320 --> 0:59:46.000
<v Speaker 1>We got to talk about what's happening in Washington right

0:59:46.040 --> 0:59:48.240
<v Speaker 1>now in the idea of tariffs, because we know that

0:59:48.440 --> 0:59:52.840
<v Speaker 1>so many flowers that come to the United States come

0:59:52.920 --> 0:59:55.160
<v Speaker 1>well that's sort of in the definition, they come from

0:59:55.200 --> 0:59:58.720
<v Speaker 1>around the world, these flowers. Where do you get your flowers?

0:59:59.320 --> 1:00:02.920
<v Speaker 12>So we get our flowers from eight countries around the world,

1:00:03.280 --> 1:00:07.480
<v Speaker 12>but a large percentage comes from Colombia and Ecuador and Europe.

1:00:07.760 --> 1:00:09.600
<v Speaker 1>So you must have been breathing a huge sigh of

1:00:09.600 --> 1:00:13.240
<v Speaker 1>relief when Columbia and the United States decided not to

1:00:13.560 --> 1:00:16.920
<v Speaker 1>impose tariffs and retaliatory tariffs on one another just a

1:00:16.920 --> 1:00:17.560
<v Speaker 1>few weeks ago.

1:00:17.840 --> 1:00:18.360
<v Speaker 4>That's right.

1:00:18.400 --> 1:00:20.560
<v Speaker 12>That was a close call, and that could have had

1:00:20.840 --> 1:00:24.320
<v Speaker 12>massive ripple effects on the industry, not just for floral

1:00:24.360 --> 1:00:29.080
<v Speaker 12>businesses like ours, but also for consumers, wholesalers, logistics partners,

1:00:29.120 --> 1:00:32.520
<v Speaker 12>and even local florists. You know, the floral industry is

1:00:32.560 --> 1:00:36.040
<v Speaker 12>a three point eight billion dollar market within the United States.

1:00:36.080 --> 1:00:39.920
<v Speaker 12>There are tons of jobs tied to this industry, and

1:00:40.040 --> 1:00:44.400
<v Speaker 12>eighty percent of US flower imports come from Columbia. A

1:00:44.600 --> 1:00:49.200
<v Speaker 12>tariff so close to a peak cycle would have drastically

1:00:49.240 --> 1:00:51.959
<v Speaker 12>increased costs across the entire floral supply chain.

1:00:52.040 --> 1:00:53.840
<v Speaker 1>Well, it could have been a twenty five percent tariff

1:00:53.960 --> 1:00:57.280
<v Speaker 1>on goods from Colombia. We don't know all the details.

1:00:57.280 --> 1:00:59.560
<v Speaker 1>Of course, we're speaking kind of hypothetically at this point

1:00:59.560 --> 1:01:03.000
<v Speaker 1>because it laid out and was resolved before it actually happened.

1:01:03.440 --> 1:01:05.720
<v Speaker 1>But what would that mean for your margins and what

1:01:05.720 --> 1:01:07.520
<v Speaker 1>would it mean for your prices? Can you give us

1:01:07.520 --> 1:01:10.520
<v Speaker 1>some numbers about how that would increase prices for you?

1:01:10.920 --> 1:01:13.479
<v Speaker 12>Yeah, even a temporary tariff to your point, we don't

1:01:13.480 --> 1:01:16.160
<v Speaker 12>have the specifics. Twenty five percent was a number that was,

1:01:16.760 --> 1:01:18.040
<v Speaker 12>you know, in being discussed.

1:01:19.080 --> 1:01:19.920
<v Speaker 3>But even a.

1:01:19.880 --> 1:01:24.800
<v Speaker 12>Temporary tariff increase could have increased our prices overnight. It

1:01:24.840 --> 1:01:29.120
<v Speaker 12>could have taken consumer It would have hit the consumer

1:01:29.960 --> 1:01:34.040
<v Speaker 12>average retail value by ten to fifteen percent, and that's

1:01:34.080 --> 1:01:38.200
<v Speaker 12>a huge swing. During the peak cycles like Valentine's Day

1:01:38.280 --> 1:01:42.160
<v Speaker 12>or Mother's Day, supply chain costs are very high during

1:01:42.160 --> 1:01:45.280
<v Speaker 12>peak seasonality. We work with perishable product, so we are

1:01:45.280 --> 1:01:48.920
<v Speaker 12>dealing with scale ten x, fifteen x twenty x scale

1:01:49.000 --> 1:01:53.040
<v Speaker 12>during these holidays. So in an environment when your supply

1:01:53.120 --> 1:01:57.280
<v Speaker 12>chain costs are high because you're catching time, you're matching speed,

1:01:57.320 --> 1:02:02.480
<v Speaker 12>you're building scale in the same timeframe. Additional tariffs would

1:02:02.480 --> 1:02:05.680
<v Speaker 12>have really impacted the end consumer, you.

1:02:05.600 --> 1:02:06.080
<v Speaker 8>Know, M two.

1:02:06.160 --> 1:02:10.800
<v Speaker 3>When you think about the flower industry, your industry, it's

1:02:10.840 --> 1:02:13.800
<v Speaker 3>not like it's so easy to just flip a switch

1:02:13.920 --> 1:02:16.360
<v Speaker 3>right and get us farmers to all of a sudden

1:02:16.400 --> 1:02:18.840
<v Speaker 3>be growing what you need. It's just it's not how

1:02:18.880 --> 1:02:21.840
<v Speaker 3>it works. It wouldn't be easy. There's not necessarily the

1:02:21.920 --> 1:02:23.360
<v Speaker 3>ability maybe to even do that.

1:02:23.920 --> 1:02:28.840
<v Speaker 12>No, it's not our projections. You know, it is very

1:02:28.840 --> 1:02:32.120
<v Speaker 12>difficult for consumers to appreciate what they have in front

1:02:32.160 --> 1:02:34.040
<v Speaker 12>of them and what the cycle of that looks like.

1:02:34.080 --> 1:02:36.480
<v Speaker 12>The flowers that are sitting in your homes, on your

1:02:36.480 --> 1:02:39.680
<v Speaker 12>coffee table or your dining table, the planning and forecasting

1:02:39.720 --> 1:02:42.360
<v Speaker 12>cycle for those florals is a year ahead, So we

1:02:42.400 --> 1:02:46.680
<v Speaker 12>forecast Valentine's Day or Mother's Day or Easter or holiday

1:02:46.760 --> 1:02:49.840
<v Speaker 12>volumes a year ahead, so our farms know what to

1:02:49.960 --> 1:02:54.800
<v Speaker 12>plant and what to offer businesses out there, and each

1:02:54.840 --> 1:02:57.320
<v Speaker 12>business is different. But for urban stems, we play in

1:02:57.320 --> 1:03:01.320
<v Speaker 12>the premium space, so we do not necessarily work with

1:03:01.360 --> 1:03:04.640
<v Speaker 12>commodity stems. That are grown in bulk. We build projections

1:03:04.680 --> 1:03:06.960
<v Speaker 12>with our farms for the unique stems that we put

1:03:07.000 --> 1:03:09.800
<v Speaker 12>out in our assortments, and we source from eight countries

1:03:09.840 --> 1:03:13.320
<v Speaker 12>around the world and create bookquets that have stems from

1:03:13.320 --> 1:03:16.320
<v Speaker 12>eight countries around the world. It's a very very complex

1:03:16.320 --> 1:03:19.880
<v Speaker 12>supply chain and pivoting at that scale so close to

1:03:20.600 --> 1:03:23.800
<v Speaker 12>a large volume week, which is ten, you know, ten

1:03:24.000 --> 1:03:26.760
<v Speaker 12>x of our average week, it's quite a challenge and

1:03:27.400 --> 1:03:29.480
<v Speaker 12>candidly almost impossible to pull off.

1:03:29.720 --> 1:03:32.000
<v Speaker 3>I am also curious, you know, is it like the

1:03:32.040 --> 1:03:35.520
<v Speaker 3>fashion industry where there are trends every year or there

1:03:35.600 --> 1:03:38.680
<v Speaker 3>might be I don't know, certain you know, suppliers that

1:03:38.720 --> 1:03:42.320
<v Speaker 3>are designing certain types of you know, fabric or designs.

1:03:42.400 --> 1:03:45.720
<v Speaker 3>In the floral industry, are you guys, can you kind

1:03:45.720 --> 1:03:48.160
<v Speaker 3>of do whatever you want every year? Or is it like, listen,

1:03:48.680 --> 1:03:51.240
<v Speaker 3>you know, this is a crop of flowers that basically

1:03:51.280 --> 1:03:53.520
<v Speaker 3>really came in good or we're expecting it to be good,

1:03:53.720 --> 1:03:54.600
<v Speaker 3>Like how does it work?

1:03:54.720 --> 1:03:56.960
<v Speaker 12>Yeah, so that's a very interesting question. So I spent

1:03:57.000 --> 1:03:59.200
<v Speaker 12>twenty two years of my life in fashion retail before

1:03:59.280 --> 1:04:02.520
<v Speaker 12>coming to earth Ms and running this business. There are

1:04:02.320 --> 1:04:05.000
<v Speaker 12>there are a lot of similarities between fashion retail and

1:04:05.080 --> 1:04:08.080
<v Speaker 12>floral trends. You know, when we look at trends beyond

1:04:08.120 --> 1:04:10.600
<v Speaker 12>Valentine's Day into Mother's Day into the spring summer cycle

1:04:10.640 --> 1:04:13.680
<v Speaker 12>of this year, we're seeing customers lean into a lot

1:04:13.720 --> 1:04:17.680
<v Speaker 12>of color, more brighter colors, and more whimsical florals. We

1:04:17.760 --> 1:04:23.240
<v Speaker 12>have also seen shorter arrangements, centerpiece style arrangements. That category

1:04:23.280 --> 1:04:26.800
<v Speaker 12>has exploded as home entertaining trends continued to rise in popularity.

1:04:27.480 --> 1:04:30.080
<v Speaker 12>Our customers are asking for the unexpected, and a lot

1:04:30.120 --> 1:04:33.760
<v Speaker 12>of our design process does take, you know, a nod

1:04:33.880 --> 1:04:36.960
<v Speaker 12>from the fashion trends, the color palettes, the color of

1:04:36.960 --> 1:04:40.520
<v Speaker 12>the years, the messaging around you know, big trends happening

1:04:40.600 --> 1:04:44.600
<v Speaker 12>in the business we do. We do work very closely

1:04:45.160 --> 1:04:47.800
<v Speaker 12>with those forecasts and with those trend predictions to build

1:04:47.800 --> 1:04:52.160
<v Speaker 12>our collection. What makes this business, you know, what's a

1:04:52.200 --> 1:04:54.880
<v Speaker 12>blessing and a curse for us is the perishability aspect

1:04:54.920 --> 1:04:57.280
<v Speaker 12>of the product. So weather plays a huge factor. So

1:04:57.320 --> 1:05:00.840
<v Speaker 12>we can plan ahead, we can design the product, but

1:05:01.040 --> 1:05:04.040
<v Speaker 12>if the you know, if there's too much rain in

1:05:04.120 --> 1:05:07.040
<v Speaker 12>Ecuador or there's too much rain in Holland like they

1:05:07.080 --> 1:05:10.720
<v Speaker 12>have been experiencing this year, the productivity changes and in

1:05:10.720 --> 1:05:13.520
<v Speaker 12>in weeks of production, we have to pivot. We have

1:05:13.600 --> 1:05:17.640
<v Speaker 12>to alter our designs, pivot and strategize on ensuring that

1:05:17.680 --> 1:05:20.440
<v Speaker 12>we're still bringing that uniqueness and that premium flavor to

1:05:20.480 --> 1:05:21.160
<v Speaker 12>our customers.

1:05:21.280 --> 1:05:23.919
<v Speaker 1>And actually, forgive me, because I know that nobody wants

1:05:23.920 --> 1:05:26.040
<v Speaker 1>to hear about competitors when they're in an interview, but

1:05:26.360 --> 1:05:28.959
<v Speaker 1>I can't believe you're doing I'm doing it. We spoke

1:05:29.040 --> 1:05:32.160
<v Speaker 1>recently to Christina Stembelover at farm Girl Flowers and she

1:05:32.240 --> 1:05:35.920
<v Speaker 1>was pretty candid with us about the margin pressure that

1:05:36.000 --> 1:05:38.760
<v Speaker 1>the company that you know, they that the industry experiences.

1:05:38.800 --> 1:05:40.240
<v Speaker 1>Despite the fact that you know you could spend over

1:05:40.280 --> 1:05:43.000
<v Speaker 1>one hundred dollars on a bouquet, the margins are really

1:05:43.040 --> 1:05:45.960
<v Speaker 1>tough to make work between the cost of the product,

1:05:46.160 --> 1:05:49.280
<v Speaker 1>the labor, and then of course the shipping. How are

1:05:49.320 --> 1:05:49.960
<v Speaker 1>your margins?

1:05:50.440 --> 1:05:52.680
<v Speaker 12>Look, Christina has a great business, and we love a

1:05:52.680 --> 1:05:55.560
<v Speaker 12>healthy competition, and she's definitely one of the best in

1:05:55.600 --> 1:05:59.520
<v Speaker 12>the business. But I believe our margins have grown stronger

1:05:59.640 --> 1:06:02.120
<v Speaker 12>over the years. We have driven high amount of efficiency

1:06:02.120 --> 1:06:06.040
<v Speaker 12>in our operations, in supply chain planning, but also you know,

1:06:06.160 --> 1:06:10.880
<v Speaker 12>our our unique differentiators. We bring sheet stylish arrangements designed

1:06:10.880 --> 1:06:13.520
<v Speaker 12>in New York by our in house floral designers. We

1:06:13.600 --> 1:06:16.680
<v Speaker 12>design with unique florals and botanicals from around the world.

1:06:16.760 --> 1:06:19.800
<v Speaker 12>You will not find that anywhere else. They're hands selected

1:06:19.800 --> 1:06:22.600
<v Speaker 12>from the farms around the world, and the designs are

1:06:22.600 --> 1:06:26.760
<v Speaker 12>created in partnership with our farms. And we we you know,

1:06:26.800 --> 1:06:30.320
<v Speaker 12>we stand by what we ship and what we design

1:06:30.400 --> 1:06:32.120
<v Speaker 12>and when you put out on our site, you will

1:06:32.160 --> 1:06:35.320
<v Speaker 12>see you will get what you see on urbanstems dot com.

1:06:35.560 --> 1:06:39.240
<v Speaker 12>It's a very transparent, trusted farm to door delivery with

1:06:39.400 --> 1:06:42.360
<v Speaker 12>next day service, with same day service. The product is

1:06:42.520 --> 1:06:45.120
<v Speaker 12>you know handled. We have eyes on it end to end,

1:06:45.160 --> 1:06:48.520
<v Speaker 12>and our differentiator is really important for our customer. They

1:06:48.720 --> 1:06:51.840
<v Speaker 12>value that white glove service and hence, you know, the

1:06:51.880 --> 1:06:55.520
<v Speaker 12>AOV increases. We hear, we hear our competitors on the

1:06:55.560 --> 1:06:59.280
<v Speaker 12>margin pressure, but we believe our differentiator is what stands

1:06:59.280 --> 1:07:01.600
<v Speaker 12>out to our customer and they continue to work with

1:07:01.720 --> 1:07:03.520
<v Speaker 12>you know, they continue to come to us for that

1:07:03.600 --> 1:07:04.680
<v Speaker 12>higher EOEI product.

1:07:04.720 --> 1:07:07.040
<v Speaker 3>Hey just to wrap up here, So as people are

1:07:07.120 --> 1:07:12.560
<v Speaker 3>enjoying their Valentine's debouquets throughout the weekend.

1:07:12.640 --> 1:07:14.240
<v Speaker 13>Is it mostly going to be roses? Like?

1:07:14.360 --> 1:07:17.000
<v Speaker 3>Is that a should we assume it's roses or is

1:07:17.040 --> 1:07:18.120
<v Speaker 3>it a lot of other stuff?

1:07:18.400 --> 1:07:21.320
<v Speaker 12>Well, there's a lot of other stuff, especially at Urban Stams.

1:07:21.640 --> 1:07:23.840
<v Speaker 12>We as I said, we believe in bringing florals and

1:07:23.880 --> 1:07:27.520
<v Speaker 12>botanicals from all around the world, so your arrangements are special.

1:07:28.320 --> 1:07:32.320
<v Speaker 12>We have, you know, sixty five varieties of floral arrangements

1:07:32.360 --> 1:07:35.720
<v Speaker 12>on our side. We have the plans. We have a

1:07:35.760 --> 1:07:38.760
<v Speaker 12>wide assortment for you to pick from. But I think

1:07:39.000 --> 1:07:42.560
<v Speaker 12>what highlights this holiday and the future holidays to come

1:07:42.560 --> 1:07:45.440
<v Speaker 12>in the future. Collections to come on Urban Stams is

1:07:45.960 --> 1:07:49.320
<v Speaker 12>including bundles. We have bundles with iconic partners. We have

1:07:49.360 --> 1:07:51.960
<v Speaker 12>a partnership with eight and H Bagels where you can

1:07:52.200 --> 1:07:56.880
<v Speaker 12>enjoy Valentine's weekend with a dozen bagels and Urban Stems flowers.

1:07:57.800 --> 1:08:01.120
<v Speaker 12>We also have a bouquet designed by NFL Ravens Wide

1:08:01.160 --> 1:08:05.480
<v Speaker 12>Receivers Dave Flowers, who's serving as our chief flowers this season.

1:08:06.480 --> 1:08:08.880
<v Speaker 12>So yeah, so we have a bunch of fun partnerships.

1:08:08.880 --> 1:08:11.000
<v Speaker 12>So when you come to Urban Stems, you come for

1:08:11.080 --> 1:08:15.000
<v Speaker 12>that premium gift option and you come for you know,

1:08:15.080 --> 1:08:16.559
<v Speaker 12>come and have fun with it. There are a lot

1:08:16.600 --> 1:08:18.920
<v Speaker 12>of highlights. There are a lot of fun partnerships coming up.

1:08:18.920 --> 1:08:22.520
<v Speaker 12>We also did you have skews around mod sexual products?

1:08:22.520 --> 1:08:25.080
<v Speaker 12>You know, so there's there's all kinds of fun offerings.

1:08:25.080 --> 1:08:25.800
<v Speaker 4>They're not just.

1:08:25.880 --> 1:08:29.759
<v Speaker 1>Roses Manactually, La La ceo of the online flower delivery

1:08:29.760 --> 1:08:32.320
<v Speaker 1>company Urban Stems.

1:08:31.479 --> 1:08:34.320
<v Speaker 3>Still ahead on Bloomberg Business Week, putting the horror in

1:08:34.479 --> 1:08:39.440
<v Speaker 3>romance movies and iconic Swiss swashmaker's latest mega creation, customized

1:08:39.479 --> 1:08:42.560
<v Speaker 3>gaming pieces in the all inclusive getting an upgrade.

1:08:42.680 --> 1:08:44.400
<v Speaker 1>Bloomberg Pursuits is up next.

1:08:44.720 --> 1:08:45.760
<v Speaker 6>This is Bloomberg.

1:08:51.840 --> 1:08:55.439
<v Speaker 2>You're listening to Bloomberg Business Week with Carol Masser and

1:08:55.560 --> 1:08:57.639
<v Speaker 2>Tim Steneveek on Bloomberg Radio.

1:08:57.800 --> 1:09:00.240
<v Speaker 13>Watches out most of the time perceived as a time.

1:09:00.120 --> 1:09:01.719
<v Speaker 4>So it's very chic and posh.

1:09:01.840 --> 1:09:04.040
<v Speaker 1>The most powerful car made in the US.

1:09:04.120 --> 1:09:06.960
<v Speaker 11>You get the beautiful interior or the iconic design here.

1:09:07.040 --> 1:09:09.360
<v Speaker 2>Now it's time to take a look at luxury with

1:09:09.520 --> 1:09:10.680
<v Speaker 2>Bloomberg Pursuits.

1:09:11.400 --> 1:09:14.479
<v Speaker 3>How does an iconic Swiss watchmaker celebrate it's two hundred

1:09:14.479 --> 1:09:17.439
<v Speaker 3>and seventieth anniversary. Or romance movies get a.

1:09:17.400 --> 1:09:21.840
<v Speaker 1>Refresh can you call it a refresher or we'll talk

1:09:21.840 --> 1:09:22.679
<v Speaker 1>about that at the moment.

1:09:22.960 --> 1:09:26.160
<v Speaker 3>Or gaming pieces get a reboot as users think literally

1:09:26.200 --> 1:09:27.439
<v Speaker 3>outside the gray box.

1:09:27.600 --> 1:09:29.920
<v Speaker 1>All that more, it's time for Bloomberg Pursuits and some

1:09:30.000 --> 1:09:32.839
<v Speaker 1>of the stories featured in the February issue of Bloomberg

1:09:32.880 --> 1:09:36.200
<v Speaker 1>BusinessWeek magazine, out on newsstands, now online, and always on

1:09:36.280 --> 1:09:40.000
<v Speaker 1>the Bloomberg terminal. With us is the editor of Bloomberg Pursuits,

1:09:40.439 --> 1:09:43.439
<v Speaker 1>Chris Rouser. Chris, two hundred and seventy years. It doesn't

1:09:43.439 --> 1:09:47.880
<v Speaker 1>feel like a typical milestone for any sort of anniversary.

1:09:48.040 --> 1:09:51.200
<v Speaker 13>Yeah, that's a good point. So Vastron Constantine is one

1:09:51.240 --> 1:09:55.120
<v Speaker 13>of the oldest watchmaking brands, and they've been in continual

1:09:55.200 --> 1:09:57.160
<v Speaker 13>existence for two hundred and seventy years, so they've been

1:09:57.200 --> 1:09:59.559
<v Speaker 13>making pocket watches and clocks and watches for that long.

1:09:59.640 --> 1:10:01.519
<v Speaker 13>A lot of brands that you know that are very

1:10:01.520 --> 1:10:03.760
<v Speaker 13>old went away, came back, people bought the rights to

1:10:03.840 --> 1:10:06.880
<v Speaker 13>the brand. So I think they feel like any five

1:10:06.960 --> 1:10:09.360
<v Speaker 13>year milestone is like a big celebration because we've been oh,

1:10:09.400 --> 1:10:10.479
<v Speaker 13>we've been doing this a long time.

1:10:10.640 --> 1:10:13.200
<v Speaker 1>What does one do for a two hundred and seventieth celebration.

1:10:13.320 --> 1:10:15.879
<v Speaker 13>They're throwing a bunch of parties, they're releasing some new watches.

1:10:15.880 --> 1:10:18.000
<v Speaker 13>But the big thing that we wrote about this month

1:10:18.240 --> 1:10:21.760
<v Speaker 13>is that they released this watch which has been very

1:10:22.520 --> 1:10:26.080
<v Speaker 13>anticipated by its clients. It's called the Historieks two to

1:10:26.080 --> 1:10:29.479
<v Speaker 13>two and it's in steel and it is a steel

1:10:29.520 --> 1:10:32.679
<v Speaker 13>sports watch with an integrated bracelet. It looks very seventies

1:10:32.720 --> 1:10:35.519
<v Speaker 13>because it was originally a watch in the seventies and

1:10:35.520 --> 1:10:38.479
<v Speaker 13>then they revived it, and they revived it a couple

1:10:38.479 --> 1:10:40.479
<v Speaker 13>of years ago in gold and it became like the

1:10:40.600 --> 1:10:43.320
<v Speaker 13>watch that everybody talked about for a while, but people

1:10:43.320 --> 1:10:45.719
<v Speaker 13>were waiting for a steel version. And the steel version

1:10:45.760 --> 1:10:47.639
<v Speaker 13>came out this year in honor of the two hundred

1:10:47.640 --> 1:10:51.080
<v Speaker 13>and seventieth anniversary, and it costs less than the gold version,

1:10:51.080 --> 1:10:53.599
<v Speaker 13>but it's still thirty two thousand dollars, which is a lot.

1:10:55.080 --> 1:10:57.040
<v Speaker 3>Can I ask you, you know, I've read this story and

1:10:57.280 --> 1:10:58.760
<v Speaker 3>I don't know if we ask you this all the time,

1:10:58.800 --> 1:11:00.880
<v Speaker 3>why do they cost so much? I mean, is the

1:11:00.920 --> 1:11:04.560
<v Speaker 3>margins just off the charts or I know they're complicated.

1:11:04.880 --> 1:11:08.120
<v Speaker 13>Yeah, so this watch is actually not very not very complicated.

1:11:08.200 --> 1:11:08.320
<v Speaker 4>Right.

1:11:08.520 --> 1:11:11.200
<v Speaker 13>It tells the time and it tells the date. And

1:11:11.400 --> 1:11:13.759
<v Speaker 13>you know, this company is one of the holy Trinity

1:11:13.760 --> 1:11:17.960
<v Speaker 13>of Swiss watch making. Everybody really revers it and they

1:11:18.000 --> 1:11:20.880
<v Speaker 13>make only about thirty five thousand watches a year, they

1:11:20.880 --> 1:11:24.400
<v Speaker 13>average like forty two thousand dollars, and it's because people

1:11:24.439 --> 1:11:28.120
<v Speaker 13>want them, honestly, like supply demand. Yeah, they're very beautifully made,

1:11:28.160 --> 1:11:32.760
<v Speaker 13>they're handcrafted, and they just they look very cool. They're

1:11:32.840 --> 1:11:34.360
<v Speaker 13>very hard to get and people are willing to pay

1:11:34.400 --> 1:11:36.479
<v Speaker 13>that much. And that's what the margin is on watches

1:11:36.520 --> 1:11:37.080
<v Speaker 13>at that level.

1:11:37.640 --> 1:11:40.240
<v Speaker 1>You mentioned. They've been in continual existence for two hundred

1:11:40.280 --> 1:11:43.280
<v Speaker 1>and seventy years, whereas many other companies and brands have not.

1:11:44.000 --> 1:11:45.400
<v Speaker 1>How have they been able to pull that off?

1:11:45.680 --> 1:11:51.200
<v Speaker 13>Well, they're Swiss, so they're very patient and they are

1:11:51.640 --> 1:11:55.360
<v Speaker 13>and diligent and careful and they just have not messed

1:11:55.400 --> 1:11:58.559
<v Speaker 13>around with quality. And they you know, during the Court's

1:11:58.680 --> 1:12:02.320
<v Speaker 13>watch crisis, when a lot of brands started making electric

1:12:02.360 --> 1:12:06.920
<v Speaker 13>watches basically with batteries, they they didn't go too far

1:12:06.960 --> 1:12:10.000
<v Speaker 13>down that road and they continue to focus on mechanical

1:12:10.080 --> 1:12:10.920
<v Speaker 13>precision and stuff.

1:12:10.920 --> 1:12:12.920
<v Speaker 3>And you know, the story kicks off with the so

1:12:13.040 --> 1:12:17.200
<v Speaker 3>called holy Trinity of Swiss watchmakers and these guys are

1:12:17.200 --> 1:12:19.400
<v Speaker 3>among them. Is that just three brands that have just

1:12:19.439 --> 1:12:23.120
<v Speaker 3>been around forever or just the kind of iconic ones protect.

1:12:22.880 --> 1:12:27.840
<v Speaker 13>Leap and yeah, yeah, they're they're called that. It's called

1:12:27.840 --> 1:12:31.280
<v Speaker 13>that because they're really focused on craftsman ship and quality.

1:12:31.240 --> 1:12:32.599
<v Speaker 9>And they are.

1:12:32.720 --> 1:12:36.040
<v Speaker 13>They don't make that many watches, So rolex Is probably

1:12:36.120 --> 1:12:39.759
<v Speaker 13>is the most powerful watch company and it and people

1:12:39.760 --> 1:12:42.120
<v Speaker 13>love it and it's maybe the most coveted certain models.

1:12:42.160 --> 1:12:43.480
<v Speaker 13>But they make a million watches.

1:12:43.240 --> 1:12:45.080
<v Speaker 3>A year and get one on Fifth Avenue for like

1:12:45.120 --> 1:12:45.679
<v Speaker 3>thirty bucks.

1:12:45.760 --> 1:12:50.000
<v Speaker 1>Yeah, yes, canals. I don't say that.

1:12:50.000 --> 1:12:52.200
<v Speaker 3>I don't know, police might come after you.

1:12:52.800 --> 1:12:54.120
<v Speaker 1>I don't know if that's a real roll.

1:12:55.160 --> 1:12:55.519
<v Speaker 3>It's not.

1:12:56.240 --> 1:12:56.840
<v Speaker 4>I'm just kidding.

1:12:56.880 --> 1:12:58.280
<v Speaker 3>Go ahead, So you're just saying they're just.

1:12:58.320 --> 1:13:01.639
<v Speaker 13>Yeah, they're rare, they're hard to get, and they're very beautiful.

1:13:01.880 --> 1:13:02.600
<v Speaker 3>I love it. I love it.

1:13:02.640 --> 1:13:03.200
<v Speaker 7>I love the clean.

1:13:03.360 --> 1:13:04.640
<v Speaker 8>I got to go to the romance.

1:13:04.360 --> 1:13:07.600
<v Speaker 1>Story because I'm like reading this, Jack Quad.

1:13:10.120 --> 1:13:10.439
<v Speaker 11>This.

1:13:13.800 --> 1:13:16.160
<v Speaker 3>Tell us about what's going on with romance movies.

1:13:16.360 --> 1:13:19.800
<v Speaker 13>So for a while now, romance like rom coms have

1:13:19.920 --> 1:13:22.439
<v Speaker 13>not succeeded at the box office. People have been have

1:13:22.680 --> 1:13:24.880
<v Speaker 13>had a hard time doing big budget rom comms. So

1:13:24.920 --> 1:13:26.680
<v Speaker 13>a lot of times what you'll see is they'll do

1:13:26.920 --> 1:13:30.160
<v Speaker 13>like you'll watch Netflix and like a huge like rom

1:13:30.200 --> 1:13:31.760
<v Speaker 13>com that you think of as like a big deal

1:13:31.800 --> 1:13:34.040
<v Speaker 13>with like Channing Tatum and Sandra Bullock or something will

1:13:34.080 --> 1:13:38.160
<v Speaker 13>be on netflixkisty, yeah, and not and not any judge me,

1:13:39.000 --> 1:13:41.960
<v Speaker 13>because people are just aren't going to theaters for that.

1:13:42.600 --> 1:13:45.280
<v Speaker 13>They are going to theaters for horror. And so now

1:13:45.320 --> 1:13:49.080
<v Speaker 13>you're seeing a bunch of tours and directors making romance

1:13:49.120 --> 1:13:52.960
<v Speaker 13>movies that are also horror films. So you mentioned Jack Quade,

1:13:52.960 --> 1:13:55.200
<v Speaker 13>He's in Companion, which came out at the end of January,

1:13:55.479 --> 1:13:59.200
<v Speaker 13>which is about Jack Quade who gets a like a

1:13:59.280 --> 1:14:02.639
<v Speaker 13>love robot, and it's sort of a romance slash horror

1:14:03.479 --> 1:14:06.880
<v Speaker 13>about her name is Iris. Her name is Iris, so

1:14:06.960 --> 1:14:08.400
<v Speaker 13>he kind of programs.

1:14:07.880 --> 1:14:09.920
<v Speaker 3>Her right to like love him, love him.

1:14:10.040 --> 1:14:12.400
<v Speaker 13>Yeah, and then things go awry.

1:14:12.800 --> 1:14:16.200
<v Speaker 1>Bridget Jones is back. Yes, Bridgitte Jones, this is news

1:14:16.200 --> 1:14:18.479
<v Speaker 1>to me. Maybe I live under a rock.

1:14:18.560 --> 1:14:21.479
<v Speaker 13>No Bridget to I love bridge Jones. So Bridget Jones

1:14:21.520 --> 1:14:25.080
<v Speaker 13>mad about the boy coming out around Valentine's Day and

1:14:25.400 --> 1:14:28.240
<v Speaker 13>it is not a horror, it's not horror. It's still

1:14:28.240 --> 1:14:31.599
<v Speaker 13>like kind of a oh poor Bridget Jones. But it's

1:14:31.600 --> 1:14:35.000
<v Speaker 13>based on the premise that Mark Darcy died and so

1:14:35.040 --> 1:14:38.320
<v Speaker 13>she has to find love in her fifties poor Colin

1:14:38.360 --> 1:14:40.839
<v Speaker 13>Firth and do you know find in Love in your fifties?

1:14:40.880 --> 1:14:42.439
<v Speaker 13>Nothing's more horrifying than that.

1:14:42.600 --> 1:14:45.400
<v Speaker 8>But it sad but true.

1:14:45.520 --> 1:14:48.200
<v Speaker 13>Kids only it's on streaming. You know that movie was

1:14:48.200 --> 1:14:50.320
<v Speaker 13>a huge movie in theaters when it originally came out,

1:14:50.320 --> 1:14:53.400
<v Speaker 13>the first one, and now theater it's just direct to streaming.

1:14:53.520 --> 1:14:55.960
<v Speaker 3>There's a great quote in here. I guess is it

1:14:56.000 --> 1:14:57.280
<v Speaker 3>by the guy who did.

1:14:57.120 --> 1:14:57.439
<v Speaker 4>I don't know.

1:14:57.520 --> 1:14:58.840
<v Speaker 1>He doesn't know which one you're gonna say.

1:14:58.920 --> 1:15:00.800
<v Speaker 3>It says, I was just like, I want to see

1:15:00.800 --> 1:15:03.679
<v Speaker 3>a movie where Meg Ryan gets decapitate. It says Hard

1:15:03.680 --> 1:15:06.840
<v Speaker 3>Eyes co writer Christopher Landon. I mean, I get it.

1:15:06.840 --> 1:15:09.240
<v Speaker 3>It's just a changing thing. But who knew that? I mean,

1:15:09.240 --> 1:15:11.280
<v Speaker 3>we talk about right the rise of Horror. We've talked

1:15:11.280 --> 1:15:14.800
<v Speaker 3>about that. I feel like our screen screen Time team

1:15:14.800 --> 1:15:15.240
<v Speaker 3>of Time.

1:15:15.120 --> 1:15:18.000
<v Speaker 13>Because it's very creative. It's a very very creative field now.

1:15:18.120 --> 1:15:21.639
<v Speaker 13>And even Honora, which everybody really likes from last year

1:15:22.040 --> 1:15:24.559
<v Speaker 13>is starts out as a love story and then is

1:15:24.680 --> 1:15:27.439
<v Speaker 13>really not that all right?

1:15:27.560 --> 1:15:28.200
<v Speaker 3>Where do you want to go?

1:15:28.280 --> 1:15:28.559
<v Speaker 4>Kids?

1:15:28.720 --> 1:15:30.160
<v Speaker 1>I want to go to Mexico. Where do you want

1:15:30.200 --> 1:15:30.320
<v Speaker 1>to go?

1:15:30.400 --> 1:15:32.880
<v Speaker 13>I want to go to me three.

1:15:33.800 --> 1:15:37.360
<v Speaker 1>So there's this thing I like about what's written about

1:15:37.400 --> 1:15:41.240
<v Speaker 1>in Pursuits this this edition, Chris, where it's the idea

1:15:41.280 --> 1:15:44.040
<v Speaker 1>that you have this all inclusive resort and you're not

1:15:44.120 --> 1:15:46.960
<v Speaker 1>surrounded by students from business school.

1:15:47.560 --> 1:15:48.519
<v Speaker 10>They say children.

1:15:50.160 --> 1:15:53.360
<v Speaker 1>There are children in a certain extent, little people. They're

1:15:53.400 --> 1:15:55.120
<v Speaker 1>there for the all you can eat, all you can drink,

1:15:55.600 --> 1:15:58.559
<v Speaker 1>stay up all night partying and getting wasted.

1:15:58.880 --> 1:16:02.200
<v Speaker 13>Yeah, so Mary and a bunch of other hotel companies

1:16:02.280 --> 1:16:05.800
<v Speaker 13>are really prioritizing all inclusive resorts over the next few

1:16:05.840 --> 1:16:08.080
<v Speaker 13>years and not what you think of as like spring

1:16:08.120 --> 1:16:10.040
<v Speaker 13>break places like I went to the Dominican Republic for

1:16:10.040 --> 1:16:12.760
<v Speaker 13>spring break and stated and all you can eat and

1:16:12.920 --> 1:16:17.360
<v Speaker 13>drink resort and it was a problem. Now you recently

1:16:17.360 --> 1:16:21.240
<v Speaker 13>did this no the first break and you bore a

1:16:21.280 --> 1:16:23.320
<v Speaker 13>bracelet and it was all you can eat buffets, and

1:16:23.360 --> 1:16:24.799
<v Speaker 13>you were always kind of like, ill.

1:16:25.520 --> 1:16:26.960
<v Speaker 1>I don't want to hear about that.

1:16:27.800 --> 1:16:29.000
<v Speaker 6>That's like a red passage.

1:16:29.120 --> 1:16:32.400
<v Speaker 13>But people, it's actually the vibe of an all inclusive

1:16:32.439 --> 1:16:35.160
<v Speaker 13>resort can be nice because you're not signing, you know,

1:16:35.280 --> 1:16:37.320
<v Speaker 13>very expensive bills all the time. You're just going in

1:16:37.439 --> 1:16:39.640
<v Speaker 13>and out. And so Marriott thinks they can create a

1:16:39.680 --> 1:16:43.280
<v Speaker 13>line of hotels where it's adults only, so there's no children,

1:16:43.760 --> 1:16:47.720
<v Speaker 13>and it's uh, it's not buffets, it's meals for lunch

1:16:47.760 --> 1:16:50.519
<v Speaker 13>and dinner at fancy restaurants. And you're just not paying

1:16:50.520 --> 1:16:52.240
<v Speaker 13>bills all the time. You're just walking around as if

1:16:52.240 --> 1:16:54.040
<v Speaker 13>it's like your house, but your house is like this big,

1:16:54.040 --> 1:16:56.840
<v Speaker 13>beautiful resort. And so we sent Lily on our team

1:16:56.960 --> 1:16:59.519
<v Speaker 13>to go to al Mare, which is on Elam Harris

1:16:59.520 --> 1:17:01.760
<v Speaker 13>in mex and she checked it out and it was

1:17:01.800 --> 1:17:04.760
<v Speaker 13>like mostly people in their forties. It was not a

1:17:04.760 --> 1:17:07.120
<v Speaker 13>party party scene. You could hear the parties at the

1:17:07.160 --> 1:17:10.960
<v Speaker 13>neighboring resorts. I love that, but this one like you

1:17:11.000 --> 1:17:12.880
<v Speaker 13>couldn't get a drink at the bar after ten pm.

1:17:12.920 --> 1:17:14.639
<v Speaker 13>And it was very much wake up in the morning,

1:17:14.760 --> 1:17:17.880
<v Speaker 13>go to the beach, go to the pool, workshops, do workshops.

1:17:18.080 --> 1:17:20.200
<v Speaker 1>But she did right that some of the things that

1:17:20.240 --> 1:17:23.720
<v Speaker 1>she did, the excursions that sound great, we're kind of

1:17:23.760 --> 1:17:24.760
<v Speaker 1>sparsely attended.

1:17:25.080 --> 1:17:28.639
<v Speaker 13>Yeah, so they're trying to also add this layer which

1:17:28.640 --> 1:17:30.280
<v Speaker 13>a lot of hotels are doing now, which is to

1:17:30.439 --> 1:17:32.800
<v Speaker 13>connect you with the community around the resort so you

1:17:33.040 --> 1:17:37.040
<v Speaker 13>more conscious travel. Right, So money goes back into more

1:17:37.080 --> 1:17:39.080
<v Speaker 13>people in businesses that live around resorts, and also you

1:17:39.160 --> 1:17:40.760
<v Speaker 13>just become aware of a space and you have a

1:17:40.800 --> 1:17:44.200
<v Speaker 13>better experience of that space and in community. And so

1:17:44.200 --> 1:17:46.040
<v Speaker 13>she went to like a ceramics class and she went

1:17:46.080 --> 1:17:48.920
<v Speaker 13>to some other like a run hiking run kind of thing,

1:17:49.360 --> 1:17:51.080
<v Speaker 13>and she thought, Oh, I'll beat like other people at

1:17:51.120 --> 1:17:53.439
<v Speaker 13>the resort. And people turns out I want to hang

1:17:53.479 --> 1:17:57.120
<v Speaker 13>out by the pool, yeah, which I get, which I

1:17:57.160 --> 1:17:57.559
<v Speaker 13>totally can.

1:17:57.760 --> 1:17:59.720
<v Speaker 3>Hey listen, we only got about a minute or so left.

1:18:00.160 --> 1:18:02.240
<v Speaker 1>I just want to Carol, I'm gonna blow up your

1:18:02.240 --> 1:18:08.080
<v Speaker 1>spot here. She's Carol's like looking at these gaming PCs

1:18:06.640 --> 1:18:09.760
<v Speaker 1>and what is this?

1:18:10.840 --> 1:18:12.040
<v Speaker 6>What are these things?

1:18:12.200 --> 1:18:13.280
<v Speaker 1>We have said, they're beautiful.

1:18:13.360 --> 1:18:16.000
<v Speaker 13>We have a story by Cecilia on the by Cecilia

1:18:16.360 --> 1:18:19.799
<v Speaker 13>Donasasio on the Tech Team, which is about gaming PCs,

1:18:19.800 --> 1:18:21.840
<v Speaker 13>which are computers like the computer that you would have

1:18:21.880 --> 1:18:24.840
<v Speaker 13>in your house that people use to play video games.

1:18:25.120 --> 1:18:27.760
<v Speaker 13>So it's not a console like an Xbox that you

1:18:27.880 --> 1:18:30.000
<v Speaker 13>play specifically for games. It's a computer that you've used

1:18:30.000 --> 1:18:32.599
<v Speaker 13>it for games. And people have taken these old gray

1:18:32.640 --> 1:18:35.479
<v Speaker 13>boxes like that you used to get from HP and

1:18:35.840 --> 1:18:39.080
<v Speaker 13>really kitted them out with like additional processing power and

1:18:39.280 --> 1:18:44.560
<v Speaker 13>visual visually beautiful stuff. So you know, like pink chords

1:18:44.760 --> 1:18:47.960
<v Speaker 13>fans that are Neon lights and they have glass sides,

1:18:48.000 --> 1:18:50.360
<v Speaker 13>like it's an old Ferrari where you can see the

1:18:50.360 --> 1:18:53.920
<v Speaker 13>engines through the glass roof. And so we we shot

1:18:53.960 --> 1:18:55.519
<v Speaker 13>a bunch of them and they're very cool. And you

1:18:55.520 --> 1:18:57.920
<v Speaker 13>can either do it yourself, which seems insane to me,

1:18:58.240 --> 1:19:01.200
<v Speaker 13>or you can buy it from a company that will.

1:19:01.000 --> 1:19:01.599
<v Speaker 9>Do it for you.

1:19:01.680 --> 1:19:04.400
<v Speaker 13>So like the average like PC costs like six hundred

1:19:04.400 --> 1:19:06.840
<v Speaker 13>and seven hundred dollars and these ones cost more like

1:19:06.960 --> 1:19:08.240
<v Speaker 13>sixteen hundred twenty.

1:19:08.880 --> 1:19:11.639
<v Speaker 3>To call him like hot rod PC builders. Right, it's

1:19:11.640 --> 1:19:14.320
<v Speaker 3>like how you kind of like, I guess trick up

1:19:14.360 --> 1:19:15.120
<v Speaker 3>a car or something.

1:19:15.320 --> 1:19:17.799
<v Speaker 1>I will say, my cousin who's a bit of a gamer,

1:19:17.920 --> 1:19:22.519
<v Speaker 1>actually for Christmas got his dad my uncle uh a

1:19:22.720 --> 1:19:25.639
<v Speaker 1>like kit and they built this together. And that they've

1:19:25.680 --> 1:19:27.679
<v Speaker 1>done this, it's very cool. It was like their gift.

1:19:27.680 --> 1:19:28.400
<v Speaker 1>It was pretty cool.

1:19:28.720 --> 1:19:29.000
<v Speaker 10>Yeah.

1:19:29.040 --> 1:19:31.559
<v Speaker 13>And gaming is I mean three billion people gamed during

1:19:31.560 --> 1:19:34.000
<v Speaker 13>the pandemic, Like it's a huge thing obviously, and it's

1:19:34.000 --> 1:19:36.640
<v Speaker 13>a many many billion dollar industry. And so some of

1:19:36.680 --> 1:19:38.880
<v Speaker 13>these companies that make these kid it out PCs are

1:19:38.880 --> 1:19:40.160
<v Speaker 13>making a billion more than a billion a.

1:19:40.120 --> 1:19:41.960
<v Speaker 1>Year I'll be honest. Sometimes I walk by Carol's desk

1:19:41.960 --> 1:19:43.920
<v Speaker 1>in the middle of the day and she's just playing Fortnite,

1:19:44.040 --> 1:19:47.439
<v Speaker 1>and I'm like Carol, Like, Carol's have to get to work.

1:19:47.560 --> 1:19:50.280
<v Speaker 1>We ever showed you a lot of these that don't

1:19:50.280 --> 1:19:51.320
<v Speaker 1>stop gaming.

1:19:51.080 --> 1:19:53.120
<v Speaker 3>Yeah, mine would have like, you know, be pink and

1:19:53.400 --> 1:19:54.720
<v Speaker 3>have Barbie's probably.

1:19:54.360 --> 1:19:57.200
<v Speaker 13>All over it, and these billions of views on TikTok,

1:19:57.200 --> 1:19:57.799
<v Speaker 13>by the way.

1:19:58.000 --> 1:20:00.360
<v Speaker 3>And have the most advanced and video chips. That was

1:20:00.400 --> 1:20:02.719
<v Speaker 3>also kind of cool that these these people are lining

1:20:02.760 --> 1:20:04.479
<v Speaker 3>up for you know, the n video We think about

1:20:04.560 --> 1:20:06.280
<v Speaker 3>Nvidia and AI, but the gaming.

1:20:06.040 --> 1:20:09.000
<v Speaker 1>Chips, well, that's that's in videos, uh in DNA, that's

1:20:09.040 --> 1:20:11.320
<v Speaker 1>like you know, I know, I know that's what they were.

1:20:11.240 --> 1:20:13.680
<v Speaker 13>Doing because without it you can't the games are so

1:20:13.800 --> 1:20:17.240
<v Speaker 13>crazy beautiful now that they render. Without that kind of compute,

1:20:17.280 --> 1:20:21.400
<v Speaker 13>you can't render like individual hairs on Link's head, you know.

1:20:23.120 --> 1:20:25.160
<v Speaker 13>So people want to want all of that experience.

1:20:25.720 --> 1:20:26.160
<v Speaker 3>I am not.

1:20:26.439 --> 1:20:28.479
<v Speaker 1>Playing what do you play? If you're not playing Fortnite,

1:20:28.520 --> 1:20:29.160
<v Speaker 1>then what are you doing?

1:20:29.479 --> 1:20:30.280
<v Speaker 13>World of Warcraft?

1:20:30.360 --> 1:20:30.519
<v Speaker 8>Oh?

1:20:30.560 --> 1:20:33.160
<v Speaker 1>World of Craft that's what it is. But unlike Elon

1:20:33.280 --> 1:20:36.920
<v Speaker 1>Musk who allegedly had someone else play for him, Carol's

1:20:36.920 --> 1:20:38.160
<v Speaker 1>getting the high scores herself.

1:20:38.360 --> 1:20:40.639
<v Speaker 3>Yes, I know, I didn't know that either.

1:20:40.720 --> 1:20:42.280
<v Speaker 8>You're just full of like lots of information.

1:20:43.960 --> 1:20:45.559
<v Speaker 3>Okay, we're a little wacky on this.

1:20:45.800 --> 1:20:46.200
<v Speaker 4>Uh.

1:20:46.240 --> 1:20:49.400
<v Speaker 3>This edition of Bloomberg Pursuits good stuff as always, Chris,

1:20:49.400 --> 1:20:50.000
<v Speaker 3>thank you so much.

1:20:50.040 --> 1:20:50.960
<v Speaker 13>We really appreciate it.

1:20:51.080 --> 1:20:54.000
<v Speaker 1>That is the editor of Bloomberg Pursuits, Chris Rouser, and that.

1:20:54.000 --> 1:20:56.000
<v Speaker 3>Wraps up the weekend edition of Bloomberg Business Week from

1:20:56.000 --> 1:20:58.040
<v Speaker 3>Bloomberg Radio. Thank you so much for joining us.

1:20:59.439 --> 1:21:04.320
<v Speaker 2>This is the Bloomberg Business Week podcast, available on Apple, Spotify,

1:21:04.400 --> 1:21:08.160
<v Speaker 2>and anywhere else you get your podcasts. Listen live weekday

1:21:08.160 --> 1:21:12.200
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1:21:12.240 --> 1:21:16.120
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1:21:16.360 --> 1:21:19.160
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1:21:19.360 --> 1:21:21.519
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