WEBVTT - Bloomberg Businessweek Weekend - July 15th, 2022

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<v Speaker 1>This is Bloomberg Business Week Inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business finance and tech news as it happened. Bloomberg

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<v Speaker 1>Business Week with Carol Messier and Bloomberg Quick Takes. Tim

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<v Speaker 1>Stinovic on Bloomberg Radio. Hi, everyone, Welcome to the weekend

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<v Speaker 1>edition of Bloomberg Business Week. We got another red hot

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<v Speaker 1>inflation print for the month of June that has sparked

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<v Speaker 1>talks of a possible one hundred basis point interest rate

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<v Speaker 1>hike when the fo MC meets towards the end of July.

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<v Speaker 1>Tim coming up on the broadcast today, We're going to

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<v Speaker 1>explore the impact of those rising prices on the luxury

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<v Speaker 1>goods market. We do that with the CEO of Sacks

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<v Speaker 1>and then find Dining. We talked about that with chef

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<v Speaker 1>Richard Sandoval. Plus our cover story details a five billion

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<v Speaker 1>dollar calamity in the desert of Saudi Arabia just a

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<v Speaker 1>mere half a trillion dollars. It is all of that

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<v Speaker 1>to come first up. One big reason that consumer prices

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<v Speaker 1>continue to soar steep energy prices and all they have

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<v Speaker 1>come down from recent highs they're likely to remain elevated

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<v Speaker 1>for months, if not years. Bloomberg's Will Kennedy writes about

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<v Speaker 1>it in the Economic section a Business Week. Lyn Duan

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<v Speaker 1>edited the piece. She's Bloomberg News Managing editor of Energy

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<v Speaker 1>and Commodities here in the Americas. We spoke to Lynn

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<v Speaker 1>on Wednesday, just as President Joe Biden was beginning his

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<v Speaker 1>trip through the Middle East to meet with the region's leaders,

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<v Speaker 1>with energy security high on the agenda. I don't know

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<v Speaker 1>how you can look at the supply and demand fundamentals

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<v Speaker 1>of this market and think that we can continue downward

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<v Speaker 1>in either oil or gas. But the traders are thinking

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<v Speaker 1>that right now. Traders. You know, we just had a

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<v Speaker 1>story yesterday that I will highlight. It's a bit wonky,

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<v Speaker 1>but if you read it, it's a scoop about the

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<v Speaker 1>fact that traders are paying some of the highest premiums

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<v Speaker 1>for physical barrels of oil in Europe than they have

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<v Speaker 1>in years. So if you want to ask the traders,

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<v Speaker 1>who probably know more about this than the economists and

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<v Speaker 1>the politicians out there, they might tell you that oil

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<v Speaker 1>is actually still very expensive. Here's the thing that I

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<v Speaker 1>think about land and I think about supply demand, and

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<v Speaker 1>I think okay, first of all, we continue to grow

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<v Speaker 1>in terms of population, we continue to be a fossil

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<v Speaker 1>fuel based economy globally, and yes, there's a lot of

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<v Speaker 1>talk about alternatives, but we ain't there yet. So to me,

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<v Speaker 1>that just says, of course, energy prices are going to

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<v Speaker 1>stay high. That is correct. We're only halfway through the summer.

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<v Speaker 1>We have hundreds of millions of people out there on

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<v Speaker 1>the roads and in the air. We are so close

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<v Speaker 1>to already passing pre pandemic demand levels, and the International

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<v Speaker 1>Energy Agency is saying that we're only going to grow more.

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<v Speaker 1>In Sure, a possible recession, Sure some inflation could could

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<v Speaker 1>eat into demand growth, but I'm not sure there's anybody

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<v Speaker 1>projecting that demand is going to fall well. And isn't

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<v Speaker 1>that too like you were talking about traders, that we're

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<v Speaker 1>talking about traders? I mean, isn't some of We were

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<v Speaker 1>just talking about this with some other members of our

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<v Speaker 1>Bloomberg team, and that what we've seen in terms of

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<v Speaker 1>oil prices come down, that's just a trader's market because

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<v Speaker 1>it concerns about a recession, but it's not necessarily the

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<v Speaker 1>fundamental story. So we're talking about a difference between the

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<v Speaker 1>macro and and and and market traders versus the physical

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<v Speaker 1>oil traders, right, and so you know on a macro level, yes,

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<v Speaker 1>there are recession fears. Yes, there is a fear that

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<v Speaker 1>you know, a recession is going to drive the oil

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<v Speaker 1>market lower because of a drop in demand. But remember that,

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<v Speaker 1>aside from the pandemic lockdowns in and the demand that dropped,

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<v Speaker 1>then the only economic downturn in modern history that is

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<v Speaker 1>actually lowered oil demand was in two thousand eight. Every

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<v Speaker 1>other recession has actually just slow demand growth. It's really

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<v Speaker 1>interesting to hear Lynn. I wonder though, when it comes

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<v Speaker 1>to what Mike McGlone of Bloomberg Intelligence tells us all

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<v Speaker 1>the time, the cure for high prices is high prices.

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<v Speaker 1>What about the ability of producers to come in and say, hey,

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<v Speaker 1>we want to take advantage of these high prices, so

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<v Speaker 1>we're gonna flood the market here? Not so right? So

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<v Speaker 1>the question is if demand is inelastic and it's going

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<v Speaker 1>to stay where it is, then where does supply budge?

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<v Speaker 1>And that's a bigger question. And Will Kennedy actually does

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<v Speaker 1>a good job of laying out the prospects of oil

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<v Speaker 1>production growth. I mean, really, the power of rests in

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<v Speaker 1>the hands of Saudi Arabia and the UAE, and they

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<v Speaker 1>are the the only world producers who may be willing

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<v Speaker 1>and have the capacity to raise it. And that's why

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<v Speaker 1>you have Biden going out to Saudi Arabia for a visit,

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<v Speaker 1>because he realizes that the world realizes that, and there

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<v Speaker 1>is a lot of pressure on OPEC plus right now

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<v Speaker 1>to be the saviors of the oil world. I love

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<v Speaker 1>this line. It's it's not clear how much more cruise

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<v Speaker 1>Saudi Arabia or the UAE has to give. As you said,

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<v Speaker 1>a Ramco, Saudi Arabia state oil giant claims he can

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<v Speaker 1>pump twelve million barrels a day. He has hit that

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<v Speaker 1>rate only on so bring it back home. And we've

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<v Speaker 1>heard from u S domestic producers in the big oil

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<v Speaker 1>conglomerates that they're like, they've seen the booms and bust.

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<v Speaker 1>They're not quick running to ramp up production and and

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<v Speaker 1>Wall Street doesn't want to want them to. I mean, honestly,

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<v Speaker 1>for two three years now, what Wall Street has been

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<v Speaker 1>drilling into the shale drillers in Texas is that they

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<v Speaker 1>need to stop spending so much money, stop going after growth,

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<v Speaker 1>rain it in and try to make more money out

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<v Speaker 1>of the production that they have on already. So something's

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<v Speaker 1>got to give here, because this is not sustainable for

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<v Speaker 1>not the world and not for American consumers. What gives?

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<v Speaker 1>I mean, I've got to think that if we see

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<v Speaker 1>a prolonged period of high oil prices in this way,

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<v Speaker 1>supply gives before demand gives, because that's like a more

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<v Speaker 1>permanent price signal that some of these industries and world

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<v Speaker 1>producers can live off of and invest in. But also,

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<v Speaker 1>you know, we we touch on the energy transition and

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<v Speaker 1>say do we ramp up the alternatives? We exactly, I mean,

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<v Speaker 1>we we we touch on it. It's you know, the

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<v Speaker 1>argument that we make is a really huge surge, an

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<v Speaker 1>abrupt one like this can actually be incredibly disruptive for

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<v Speaker 1>the energy transition, not just because of you know, high

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<v Speaker 1>oil prices raising inflation, thus prompting federal policymakers to raise

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<v Speaker 1>interest right, but also because uh governments tend to buckle

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<v Speaker 1>under the pressure of inflation and create a lot of

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<v Speaker 1>subsidies for fossil fuel industries as opposed renewable energy. But

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<v Speaker 1>if you see it for a prolonged amount of time,

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<v Speaker 1>then you can really incentivize it. That was Linda on

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<v Speaker 1>She's Bloomberg News Managing editor of Energy and Commodities. In

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<v Speaker 1>the America's Coming Up, we hear from an executive at

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<v Speaker 1>retail giant American Eagle on building a more responsive supply chain.

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<v Speaker 1>When the pandemic hit us, it was also a route

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<v Speaker 1>awakening that, like you know, the distribution centers were very fragile.

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<v Speaker 1>You're listening to Bloomberg Busy this week. This is Bloomberg.

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<v Speaker 1>This is Bloomberg Business Week with Carol Masser and Bloomberg

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<v Speaker 1>Quick Takes. Tim Stinovik from Bloomberg Radio. We talked a

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<v Speaker 1>lot about retail this past week. Even got an economic

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<v Speaker 1>data point on retail. It's a sector, as you know,

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<v Speaker 1>that went through a lot of disruption and innovation during

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<v Speaker 1>the pandemic. With e commerce reigning supreme. Well today, retailers

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<v Speaker 1>continue to face questions about consumer demand and of course

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<v Speaker 1>those rough supply chains. One company is rethinking the way

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<v Speaker 1>it distributes it's goods. Shaker not Rogen is executive vice

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<v Speaker 1>president and Chief Supply chain Officer at American Eagle Outfitters.

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<v Speaker 1>He joined us in the studio to help break down

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<v Speaker 1>the company's collaborative approach. Even before like pandemic hitos. We

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<v Speaker 1>started envisioning the future of the supply chain, how it's

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<v Speaker 1>going to look very different and so um if you

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<v Speaker 1>look at where there was a lot of costa escalation

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<v Speaker 1>in you know, doing business, it was really like from

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<v Speaker 1>what I call the middle mind the time the product

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<v Speaker 1>enters into the country to the time it actually gets

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<v Speaker 1>to the doorstep. And that was the fastest growing expense

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<v Speaker 1>that we saw. And it's across the board. Like every industry,

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<v Speaker 1>every retailer says that the shipping expenses, transportation, transportation expenses,

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<v Speaker 1>they were like they were not leveraged. And so we

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<v Speaker 1>wanted to change the game. We wanted to change the game,

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<v Speaker 1>and we started thinking about what would the disruption look like,

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<v Speaker 1>because we wanted to disrupt ourselves before the industry disrupts us, right,

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<v Speaker 1>So we started laying out a strategy, and that strategy

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<v Speaker 1>was all about getting the inventory closer to the end

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<v Speaker 1>consumption point and doing it in an omni channel fashion

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<v Speaker 1>so that you could you could maximize the value of

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<v Speaker 1>the inventory, reduce the transportation cost. And the minds traveled

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<v Speaker 1>hold on, how do you how do you get the

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<v Speaker 1>inventory closer to the place of consumption, especially when this

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<v Speaker 1>stuff is created half a world away. Yes, so what

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<v Speaker 1>we talked about it is once it actually comes into

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<v Speaker 1>the country, the time basically, like let's take an example, right,

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<v Speaker 1>like if a pair of American Egan jeans was actually

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<v Speaker 1>sold in a store, um, it would be sold on

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<v Speaker 1>a Sunday, read on a Monday. The allocations would happen

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<v Speaker 1>on a Wednesday, like you would actually pick back on

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<v Speaker 1>a Thursday. It would show up like that, the trucks

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<v Speaker 1>would leave on the following Monday. It would show up

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<v Speaker 1>in the in the customers, in the stores like two

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<v Speaker 1>weeks later pretty much. And so the time it takes

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<v Speaker 1>was about like fourteen days the worst case scenario. And

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<v Speaker 1>so what we wanted to do is how do we

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<v Speaker 1>get to daily replenishment of the stores. And also, like

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<v Speaker 1>you know, when you when you allocated the store, the

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<v Speaker 1>product in the store is like literally like two and

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<v Speaker 1>a half days away, right, So that like that compression

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<v Speaker 1>of the time was what we were trying to aim for.

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<v Speaker 1>And so what we did is basically we created a

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<v Speaker 1>lot of decentralized locations. Instead of shipping from halfway across

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<v Speaker 1>the country, we started putting distribution centers closer to where

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<v Speaker 1>people live, started holding the inventory like the Amazon in

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<v Speaker 1>terms of other distribution, absolutely like the Amazon model. And

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<v Speaker 1>when we presented this, people thought I was crazy because

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<v Speaker 1>it works for like you know, diapers and and soda,

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<v Speaker 1>not necessarily for fashion because fashion change is pretty fast.

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<v Speaker 1>And so what we had to do was really power

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<v Speaker 1>our systems with a lot of advanced like thinking from

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<v Speaker 1>a perspective, and that drove the inventory decisioning and the

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<v Speaker 1>sciences associated with it, which really helped us like transformative.

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<v Speaker 1>So basically, all of a sudden, tims really into yoga

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<v Speaker 1>pants and they're like, you know, he lives in New York.

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<v Speaker 1>You get kind of a spike there, you know, and

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<v Speaker 1>others right, and the data says, we gotta get more

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<v Speaker 1>yoga pants to New York. Yes, it's as simple as that.

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<v Speaker 1>It's as simple as that, and like you know, creating

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<v Speaker 1>a responsive supply chain. And when the pandemic hit us,

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<v Speaker 1>it was also a rude awakening that like, you know,

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<v Speaker 1>the distribution centers were very fragile, like you know, we

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<v Speaker 1>have two distribution centers, one in Ottawa and one in Hazelton,

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<v Speaker 1>and the population was was affected there, and so we

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<v Speaker 1>were we were at the risk of actually like shutting

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<v Speaker 1>down the business because if those two facilities go down

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<v Speaker 1>and the stores are not available, then you run the

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<v Speaker 1>risk of actually not having any any of these operations

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<v Speaker 1>at all. You don't have the flexibility to move to

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<v Speaker 1>something like one too. That's it, That's exactly the point.

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<v Speaker 1>But even the increased overhead of having more logistics centers

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<v Speaker 1>that makes effort by having them closer to where the

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<v Speaker 1>demand is. What we did was actually addressed that increased overhead.

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<v Speaker 1>So we went into a sharing model instead of us

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<v Speaker 1>owning the facilities. We started like doing that with like

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<v Speaker 1>fifteen other brands, fifty other brands, and that helped us

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<v Speaker 1>like actually make the supply chain much more variabilized. As

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<v Speaker 1>you said, you guys are doing more distribution centers more

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<v Speaker 1>closer to where people are buying, and that's changing. How

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<v Speaker 1>much of that has to do with carbon footprint, Well,

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<v Speaker 1>it has everything to do with regenerative networks, because I

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<v Speaker 1>I think, like people talk about sustainability, sustainability just acknowledges

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<v Speaker 1>the fact that we have screwed up the world, right,

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<v Speaker 1>and so we're saying that we want to be carbon

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<v Speaker 1>neutral but what we intend to do with this new

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<v Speaker 1>model that we're building out is to create a regenerative business,

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<v Speaker 1>which means that giving it back, giving back to the society.

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<v Speaker 1>So as an example example, so when we built out

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<v Speaker 1>this distribution network that we did, American Eagle grew the

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<v Speaker 1>business by right, but we reduced the number of parcels

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<v Speaker 1>which are actually going to the doorstep by and it

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<v Speaker 1>was less tough because exactly because instead of having stores

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<v Speaker 1>like you know, do all of your shipments, we were

0:12:41.440 --> 0:12:44.960
<v Speaker 1>consolidating them into fewer locations which could do the shipments.

0:12:45.000 --> 0:12:47.160
<v Speaker 1>And so the number of packages which are ending up

0:12:47.160 --> 0:12:49.920
<v Speaker 1>at the doorstep were much much lesser than what it was,

0:12:50.520 --> 0:12:53.160
<v Speaker 1>though the volume grew. The second thing, it actually reduced

0:12:53.160 --> 0:12:55.480
<v Speaker 1>the number of miles because like you're that much closer

0:12:55.480 --> 0:12:58.360
<v Speaker 1>to the end consumer. So we reduced the number of

0:12:58.440 --> 0:13:03.200
<v Speaker 1>parcel miles by billion miles. That's a number. What percentage

0:13:03.240 --> 0:13:05.240
<v Speaker 1>is that, Well, it sounds like a lot, but you

0:13:05.240 --> 0:13:08.320
<v Speaker 1>know what I mean. Like so for for for us itself,

0:13:08.559 --> 0:13:13.600
<v Speaker 1>it was about right. And and then let's take like

0:13:13.640 --> 0:13:15.640
<v Speaker 1>you know, the cost of doing business, because we were

0:13:15.679 --> 0:13:19.680
<v Speaker 1>sharing our network with other brands through this, through the

0:13:19.920 --> 0:13:24.120
<v Speaker 1>consolidations sharing economy models. So the cost was much lower,

0:13:24.160 --> 0:13:28.080
<v Speaker 1>so we were able to deliver packages cheaper and a

0:13:28.160 --> 0:13:31.200
<v Speaker 1>day and a half faster. Right, So it's better for

0:13:31.240 --> 0:13:35.040
<v Speaker 1>the planet, it's better for profits, it's better basically because

0:13:35.080 --> 0:13:38.040
<v Speaker 1>you're tapping into the local economy. Right, So it was

0:13:38.360 --> 0:13:41.120
<v Speaker 1>better all the way around. And so we thought this

0:13:41.200 --> 0:13:45.080
<v Speaker 1>is a fundamentally a good business model that we should

0:13:45.080 --> 0:13:51.080
<v Speaker 1>now begin to scale and democratize access for everyone. And

0:13:51.080 --> 0:13:53.520
<v Speaker 1>and that is the mission of this company. And to

0:13:53.600 --> 0:13:55.800
<v Speaker 1>just to give you some context, I come from, and

0:13:55.800 --> 0:13:58.079
<v Speaker 1>I'm proud to say that on radio that I come

0:13:58.080 --> 0:14:02.040
<v Speaker 1>from slums in India where access to funerals, paying for

0:14:02.080 --> 0:14:05.320
<v Speaker 1>funerals or paying for education, paying for electricity was a

0:14:05.360 --> 0:14:08.079
<v Speaker 1>big thing. And all we know is how to share

0:14:08.400 --> 0:14:11.679
<v Speaker 1>and supply chains is anything but going to be an

0:14:11.720 --> 0:14:14.960
<v Speaker 1>abundant resource going forward. We don't have enough people. Where

0:14:15.000 --> 0:14:17.199
<v Speaker 1>do we find all the people? Like it's going to

0:14:17.400 --> 0:14:20.760
<v Speaker 1>the price escalation is here to stay from a supply

0:14:20.840 --> 0:14:24.160
<v Speaker 1>chain perspective, right, And so so that and so the

0:14:24.200 --> 0:14:28.440
<v Speaker 1>notion of sharing right opens up capacity everywhere in the network.

0:14:28.680 --> 0:14:31.640
<v Speaker 1>That was Shaker, not Rogen. He's EBP and chief supply

0:14:31.720 --> 0:14:34.880
<v Speaker 1>chain officer at American Eagle Outfitters. More later on retail

0:14:34.920 --> 0:14:37.120
<v Speaker 1>when we talk to the SAX CEO. Coming up next,

0:14:37.200 --> 0:14:40.280
<v Speaker 1>Why Wells Fargo is spending millions to help pring diversity

0:14:40.440 --> 0:14:53.320
<v Speaker 1>to the housing development business. This is Bloomberg Broadcasting from

0:14:53.320 --> 0:14:57.080
<v Speaker 1>the financial capital of the World, Bloomberg eleven Frio in

0:14:57.200 --> 0:15:00.960
<v Speaker 1>New York to Washington, d C. Bloomberg one to Boston,

0:15:01.080 --> 0:15:04.480
<v Speaker 1>Bloomberg one oh six one does San Francisco, Bloomberg Name

0:15:04.560 --> 0:15:07.760
<v Speaker 1>sixty to the country Sirius xm Jeddo one nine team,

0:15:07.760 --> 0:15:10.920
<v Speaker 1>and around the globe the Bloomberg Business app and Bloomberg

0:15:11.000 --> 0:15:16.360
<v Speaker 1>Radio dot Com. This is Bloomberg Business Week. As you know,

0:15:16.480 --> 0:15:19.480
<v Speaker 1>Wells Fargo has been dealing with a series of scandals

0:15:19.480 --> 0:15:22.360
<v Speaker 1>and regulatory issues for years, and it's operating under a

0:15:22.360 --> 0:15:24.840
<v Speaker 1>growth cap imposed by the Federal Reserve. A last week,

0:15:24.880 --> 0:15:27.880
<v Speaker 1>we even had Congresswoman Maxie and Waters say that the

0:15:27.880 --> 0:15:31.880
<v Speaker 1>bank should faced an investigation by US regulators into allegations

0:15:31.920 --> 0:15:35.240
<v Speaker 1>at the bank denied black refinancing applicants and hosted mock

0:15:35.320 --> 0:15:39.840
<v Speaker 1>interviews to fulfill diversity numbers. To be fair to signs

0:15:39.840 --> 0:15:42.120
<v Speaker 1>to every coin, we should point out that Wells Fargo

0:15:42.360 --> 0:15:45.120
<v Speaker 1>tim has been working to make some changes, including awarding

0:15:45.160 --> 0:15:49.160
<v Speaker 1>a forty million dollar grant to help cultivate diverse housing developers.

0:15:49.320 --> 0:15:51.880
<v Speaker 1>We've got with us Gina Marriott, whose principle at Northern

0:15:52.040 --> 0:15:55.320
<v Speaker 1>Real Estate Urban Ventures. It's a community development organization that's

0:15:55.480 --> 0:15:59.320
<v Speaker 1>engaged in a holistic approach to real estate development. Gina

0:15:59.400 --> 0:16:01.880
<v Speaker 1>joins us from Washington, d C. Gina, how are you.

0:16:03.120 --> 0:16:05.480
<v Speaker 1>I'm thank you. How are you all doing. We're doing well.

0:16:05.520 --> 0:16:07.640
<v Speaker 1>Thanks so much for joining us. Talk to us about

0:16:07.720 --> 0:16:10.640
<v Speaker 1>how you're gonna use this forty million dollar grant. It's

0:16:10.680 --> 0:16:15.560
<v Speaker 1>called Growing Diverse Housing Developers. Well, the funds were awarded

0:16:15.560 --> 0:16:19.200
<v Speaker 1>by Wells Fargo to three regional c d f ies

0:16:19.280 --> 0:16:24.240
<v Speaker 1>community development Financing institutions, and they have selected a cohort

0:16:24.320 --> 0:16:29.320
<v Speaker 1>of twenty seven diverse developers to provide funding support both

0:16:29.400 --> 0:16:32.920
<v Speaker 1>for their enterprise as well as their real estate projects.

0:16:33.920 --> 0:16:36.360
<v Speaker 1>Well and talked to us about a little bit about

0:16:36.720 --> 0:16:39.280
<v Speaker 1>what kind of impact this could do, the money itself

0:16:39.680 --> 0:16:42.160
<v Speaker 1>and really changing the system. And I know, Gina, you know,

0:16:42.280 --> 0:16:45.000
<v Speaker 1>I kind of laid it out because Bloomberg viewers they

0:16:45.000 --> 0:16:48.000
<v Speaker 1>know Wells Fargo and they're not alone in terms of

0:16:48.040 --> 0:16:52.880
<v Speaker 1>the banking society and banking industry and leaving out, you know,

0:16:52.960 --> 0:16:56.400
<v Speaker 1>minorities and being more inclusive, especially when it comes to housing.

0:16:56.480 --> 0:16:58.320
<v Speaker 1>So tell us how you think this money can help

0:16:58.360 --> 0:17:01.840
<v Speaker 1>move the needle. Well, this money is certainly going to

0:17:01.880 --> 0:17:05.280
<v Speaker 1>help my organization. I've been in business for more than

0:17:05.440 --> 0:17:08.240
<v Speaker 1>twenty years and have more than twenty seven years of

0:17:08.280 --> 0:17:12.920
<v Speaker 1>experience developing affordable housing for other people, never having enough

0:17:12.960 --> 0:17:16.359
<v Speaker 1>capital to be able to develop my own projects, and

0:17:16.440 --> 0:17:20.040
<v Speaker 1>so the funds well Spargo has provided will allow me

0:17:20.160 --> 0:17:25.440
<v Speaker 1>to one UM leverage their grants to hire people and

0:17:25.520 --> 0:17:28.399
<v Speaker 1>to support my balance sheet and will it will also

0:17:28.440 --> 0:17:32.080
<v Speaker 1>allow these c d I fies to create products that

0:17:32.119 --> 0:17:37.080
<v Speaker 1>will help diverse developers UM develop their their projects. It's

0:17:37.119 --> 0:17:40.679
<v Speaker 1>been very challenging going to conventional banks to try to

0:17:40.720 --> 0:17:44.720
<v Speaker 1>get funds both early funding, the early stage funding for

0:17:44.800 --> 0:17:48.320
<v Speaker 1>development projects as well as construction and permanent financing. So

0:17:48.600 --> 0:17:52.879
<v Speaker 1>this this program helps provide the kind of support developers

0:17:52.880 --> 0:17:55.600
<v Speaker 1>need in order to get their projects done on their own.

0:17:56.200 --> 0:17:58.400
<v Speaker 1>If I can just follow us the word challenging, it's

0:17:58.400 --> 0:18:03.040
<v Speaker 1>got to be even harder than challenge, right, is it? Okay? Listen?

0:18:03.280 --> 0:18:05.880
<v Speaker 1>I was almost put out of business actually by one

0:18:05.920 --> 0:18:09.520
<v Speaker 1>of these large institutions. UH, I was working with a

0:18:09.600 --> 0:18:12.280
<v Speaker 1>smaller institution that was bought by a larger, you know,

0:18:12.400 --> 0:18:17.080
<v Speaker 1>brand name financing organization, and that organization would not honor

0:18:17.240 --> 0:18:20.560
<v Speaker 1>the deal that the smaller organization made to me. Right,

0:18:20.720 --> 0:18:24.480
<v Speaker 1>smaller uh, smaller financing entity. So the the eight thousand

0:18:24.560 --> 0:18:27.560
<v Speaker 1>pound guerilla basically took over this company and wouldn't honor

0:18:27.600 --> 0:18:30.320
<v Speaker 1>the deal, almost put me out of business. So we

0:18:30.359 --> 0:18:33.760
<v Speaker 1>need organizations like Wells Fargo to fund the c d

0:18:33.960 --> 0:18:36.640
<v Speaker 1>fies that will provide financing for people like me, because

0:18:36.720 --> 0:18:39.520
<v Speaker 1>the major institutions won't do it. GA, How how do

0:18:39.560 --> 0:18:42.720
<v Speaker 1>you build affordable housing right now? I mean, construction costs

0:18:42.760 --> 0:18:45.840
<v Speaker 1>are high, materials costs are high, land is high, interest

0:18:45.920 --> 0:18:48.600
<v Speaker 1>rates are going up. How do you do it? It's

0:18:48.720 --> 0:18:50.960
<v Speaker 1>very difficult. I mean I have a couple of projects

0:18:51.080 --> 0:18:54.240
<v Speaker 1>right now in development UM that are about to close

0:18:54.480 --> 0:18:57.640
<v Speaker 1>that just experience these kinds of things, both an increase

0:18:57.720 --> 0:19:01.240
<v Speaker 1>in interest rate and an increase in construction costs. And

0:19:01.480 --> 0:19:04.400
<v Speaker 1>you know, I would say, luckily, there was also luckily

0:19:04.440 --> 0:19:08.080
<v Speaker 1>and not so luckily, there was an increase in the

0:19:08.200 --> 0:19:11.359
<v Speaker 1>rental rates because HUD issues new rents every year for

0:19:11.440 --> 0:19:15.320
<v Speaker 1>affordable housing, developments and those two went up, so that

0:19:15.440 --> 0:19:19.040
<v Speaker 1>helped absorb some of the increase in interest rates and

0:19:19.400 --> 0:19:21.880
<v Speaker 1>construction costs, but not all of it. So then what

0:19:21.960 --> 0:19:23.400
<v Speaker 1>you have to do is really go back to these

0:19:23.440 --> 0:19:27.720
<v Speaker 1>municipalities that provide what we call gap funding, which is,

0:19:28.080 --> 0:19:30.360
<v Speaker 1>you know, all of the private money you can get,

0:19:30.440 --> 0:19:33.359
<v Speaker 1>all of the low income housing tax credit investment you get,

0:19:33.760 --> 0:19:37.040
<v Speaker 1>there's usually still a gap, right, There's still some some

0:19:37.119 --> 0:19:40.679
<v Speaker 1>chunk of money that the private institutions can't fund. And

0:19:40.720 --> 0:19:44.000
<v Speaker 1>so really what we look to now is those states

0:19:44.040 --> 0:19:47.600
<v Speaker 1>and cities to provide additional support to these projects so

0:19:47.760 --> 0:19:50.320
<v Speaker 1>they can get them done. Is this about also um

0:19:50.400 --> 0:19:54.880
<v Speaker 1>genior creating projects? You know, if we're gonna really embrace

0:19:54.960 --> 0:19:57.720
<v Speaker 1>as a world diversity inclusion, that means these kind of

0:19:57.720 --> 0:20:02.520
<v Speaker 1>projects and maybe a traditionally white neighborhood. Is that part

0:20:02.520 --> 0:20:06.640
<v Speaker 1>of this. Yes, especially in the district of Columbia. Actually

0:20:07.000 --> 0:20:12.160
<v Speaker 1>UM the basically the financing programs that support affordable housing,

0:20:13.280 --> 0:20:16.359
<v Speaker 1>UH give you a higher score if you're in a

0:20:16.400 --> 0:20:20.120
<v Speaker 1>neighborhood that has higher incomes, and so you know that's

0:20:20.200 --> 0:20:22.600
<v Speaker 1>just that just happens to be, you know, neighborhoods that

0:20:22.640 --> 0:20:26.639
<v Speaker 1>are whiter in terms of its population. That was Jinna Merritt,

0:20:26.680 --> 0:20:29.360
<v Speaker 1>principle at Northern Real Estate Urban Ventures on the Growing

0:20:29.400 --> 0:20:33.280
<v Speaker 1>Diverse Housing Developers Grant program. You're listening to Bloomberg Business Week.

0:20:33.560 --> 0:20:36.119
<v Speaker 1>Up next, the CEO of a robotic startup tells us

0:20:36.160 --> 0:20:39.040
<v Speaker 1>about his vision for a human machine team and why

0:20:39.080 --> 0:20:41.400
<v Speaker 1>savage droids don't mean you'll be out of a job.

0:20:41.680 --> 0:20:45.280
<v Speaker 1>Still a little nervous Newsky, I'm not so sure about

0:20:45.280 --> 0:20:56.760
<v Speaker 1>this one. All right, this is Bloomberg. You're listening to

0:20:56.880 --> 0:21:00.480
<v Speaker 1>Bloomberg Business Week with Carol Messer and bloom were quick

0:21:00.520 --> 0:21:05.760
<v Speaker 1>takes Tim Stinovik from Bloomberg Radio four. Robotics closed another

0:21:05.800 --> 0:21:08.720
<v Speaker 1>round of funding earlier this week million dollars in a

0:21:08.760 --> 0:21:11.760
<v Speaker 1>Series B funding led by Tiger Global that brought the

0:21:11.800 --> 0:21:15.080
<v Speaker 1>company's total funding raise to over one million dollars. We

0:21:15.119 --> 0:21:17.560
<v Speaker 1>sat down with Samuel Reeves. He's the company's founder and

0:21:17.640 --> 0:21:21.399
<v Speaker 1>CEO for Robotics, it's a safety and security platform for

0:21:21.440 --> 0:21:24.639
<v Speaker 1>autonomous machines. He told us how that money will be

0:21:24.680 --> 0:21:27.440
<v Speaker 1>deployed in What it's like raising capital in a tough

0:21:27.520 --> 0:21:31.879
<v Speaker 1>macro environment. It's certainly a challenge, but we're attached to

0:21:32.040 --> 0:21:36.080
<v Speaker 1>a big macro trend. We're we're a part of the

0:21:36.080 --> 0:21:40.000
<v Speaker 1>fourth Industrial Revolution, and regardless of what happens in in

0:21:40.040 --> 0:21:44.320
<v Speaker 1>any momentary downturn um, this is a generational shift in

0:21:44.320 --> 0:21:46.560
<v Speaker 1>the way the world works. So there's still a lot

0:21:46.560 --> 0:21:49.720
<v Speaker 1>of money out there, and if you look at there's

0:21:49.760 --> 0:21:51.879
<v Speaker 1>there's still a lot of dry powder, so there is

0:21:51.920 --> 0:21:54.800
<v Speaker 1>But was it was it noticeably different raising this round

0:21:54.960 --> 0:21:57.199
<v Speaker 1>in terms of how long it took, the conversations you

0:21:57.280 --> 0:21:59.399
<v Speaker 1>had to have, the time it took from you know,

0:21:59.440 --> 0:22:01.399
<v Speaker 1>talking to the x LPs to actually get him to

0:22:01.440 --> 0:22:03.440
<v Speaker 1>sign on the dotted line. Give us some color there.

0:22:03.480 --> 0:22:06.440
<v Speaker 1>I mean, I think automation is unique. So what what

0:22:06.440 --> 0:22:10.240
<v Speaker 1>What was noticeably different for us is that the world

0:22:10.320 --> 0:22:12.959
<v Speaker 1>is now bought into the idea that everything is going autonomous,

0:22:13.000 --> 0:22:16.440
<v Speaker 1>So we're kind of special in in that way. Robotics

0:22:16.480 --> 0:22:19.680
<v Speaker 1>funding is still going strong, so I think a lot

0:22:19.680 --> 0:22:22.520
<v Speaker 1>of folks are seeing a turn down. But but we

0:22:22.560 --> 0:22:24.440
<v Speaker 1>actually had had a lot of interest in the round

0:22:24.800 --> 0:22:26.680
<v Speaker 1>and ultimately came on a set of partners we're really

0:22:26.680 --> 0:22:28.359
<v Speaker 1>happy about. We'll tell us a little bit more about

0:22:28.359 --> 0:22:31.480
<v Speaker 1>your business. You guys have been around, correct, so tell

0:22:31.560 --> 0:22:34.359
<v Speaker 1>us because it's not like you're creating the cool elon

0:22:34.400 --> 0:22:40.400
<v Speaker 1>Mosk Cuminoid robot. You're stuff, but you're controlling the devices

0:22:40.440 --> 0:22:42.399
<v Speaker 1>and you're also playing into the security side of this.

0:22:42.760 --> 0:22:45.119
<v Speaker 1>Explain a little bit about what you guys do. Who

0:22:45.160 --> 0:22:48.680
<v Speaker 1>are some of your big customers? Sure, sure, we're a

0:22:48.720 --> 0:22:52.199
<v Speaker 1>fork is a communications platform for smart machines. So we

0:22:52.280 --> 0:22:56.320
<v Speaker 1>have this unique fusion between safety and security that enables

0:22:56.400 --> 0:22:59.320
<v Speaker 1>us to deliver information to these machines that they can trust,

0:23:00.000 --> 0:23:03.560
<v Speaker 1>and so that lets them address what what globally we

0:23:03.760 --> 0:23:06.840
<v Speaker 1>term as the huge risk of the next generation of automation.

0:23:07.280 --> 0:23:09.919
<v Speaker 1>So just come out and say it. They're they're going

0:23:10.000 --> 0:23:11.800
<v Speaker 1>to kill us. They're not gonna kill us if they

0:23:11.840 --> 0:23:15.720
<v Speaker 1>have the fourth platform. But this is the this is

0:23:15.760 --> 0:23:19.080
<v Speaker 1>the you know, So it's nothing you're making the robots, right, No, no, no,

0:23:19.160 --> 0:23:21.879
<v Speaker 1>we were to help other people make them. Yeah, you

0:23:21.920 --> 0:23:26.119
<v Speaker 1>have the platform that helps people program them, communicate, communicate

0:23:26.160 --> 0:23:30.240
<v Speaker 1>with them. Right. And And the fact is autonomous robotics

0:23:30.240 --> 0:23:34.280
<v Speaker 1>are still is still a developing field. I mean, ai

0:23:34.520 --> 0:23:38.040
<v Speaker 1>is has has reached a great point of development, but

0:23:38.080 --> 0:23:41.680
<v Speaker 1>it's still in development. And these machines are still perceiving

0:23:41.680 --> 0:23:44.480
<v Speaker 1>the world and and acting in the world in a

0:23:44.520 --> 0:23:48.360
<v Speaker 1>way that UM is in progress, and so if they're

0:23:48.359 --> 0:23:52.200
<v Speaker 1>going to be moving around in unstructured environments around people,

0:23:52.480 --> 0:23:55.679
<v Speaker 1>that poses a huge amount of safety risk. Conversely, if

0:23:55.720 --> 0:23:57.840
<v Speaker 1>they're connecting the internet, they're all connect to the internet

0:23:58.040 --> 0:24:00.639
<v Speaker 1>and so they're all exposed to huge already risk. So

0:24:00.680 --> 0:24:02.960
<v Speaker 1>whether it's safety risk or security risk, there's a lot

0:24:02.960 --> 0:24:05.760
<v Speaker 1>of risk on this this mega trend. So that's that's

0:24:05.800 --> 0:24:07.800
<v Speaker 1>what we're out here to help people address. Well, tell

0:24:07.880 --> 0:24:09.760
<v Speaker 1>us a little bit about some of your major customers, right,

0:24:09.800 --> 0:24:11.520
<v Speaker 1>you play in the O E M market. I mean,

0:24:11.560 --> 0:24:16.399
<v Speaker 1>I'm thinking warehousing, agriculture, construction, manufacturing, mining, transportation, delivery. I mean,

0:24:16.440 --> 0:24:18.880
<v Speaker 1>you play into so many aspects of our world. Tell

0:24:18.920 --> 0:24:20.720
<v Speaker 1>us about some of the customers, what kind of demand

0:24:20.760 --> 0:24:22.880
<v Speaker 1>you're seeing, and what it tells you maybe about our

0:24:23.119 --> 0:24:26.159
<v Speaker 1>you know, our macroeconomic environment. Sure, so, so we have

0:24:26.160 --> 0:24:30.680
<v Speaker 1>about three customers about those are really big, big companies.

0:24:30.680 --> 0:24:35.840
<v Speaker 1>So fortunate with thousand sized customers. Um. Oh, so so

0:24:36.040 --> 0:24:38.040
<v Speaker 1>you're when your public I'll be able to actually put

0:24:38.119 --> 0:24:42.520
<v Speaker 1>up on Bloomberg function right. So, so, so it's interesting

0:24:42.560 --> 0:24:45.880
<v Speaker 1>we're integrated into everybody's technology roadmap. So so we hold

0:24:45.920 --> 0:24:48.280
<v Speaker 1>a lot of proprietary information about what all these companies

0:24:48.320 --> 0:24:51.000
<v Speaker 1>are doing, so they get really touchy about us talking

0:24:51.040 --> 0:24:52.840
<v Speaker 1>about them. But a few that have that have been

0:24:52.880 --> 0:24:56.280
<v Speaker 1>public about about using forder. Toyota Material Handling. They're the

0:24:56.280 --> 0:25:00.280
<v Speaker 1>biggest forkliff manufacturer in the world. Boston Dynamics. You probably

0:25:00.320 --> 0:25:05.600
<v Speaker 1>seeing very YouTube friendly, right, So they did to sixty

0:25:05.600 --> 0:25:10.760
<v Speaker 1>minutes where one of our products had a little cameo appearance. Hexagon,

0:25:10.800 --> 0:25:13.760
<v Speaker 1>big Swedish conglomerate. They make control systems for pretty much

0:25:13.800 --> 0:25:17.760
<v Speaker 1>every production environment like that. So tell me about the

0:25:17.760 --> 0:25:20.320
<v Speaker 1>demand you know that you're seeing from such a cross

0:25:20.400 --> 0:25:22.719
<v Speaker 1>section of so many different industries that play into our

0:25:22.760 --> 0:25:25.320
<v Speaker 1>global economy. What's the demand that you're seeing and what

0:25:25.359 --> 0:25:27.359
<v Speaker 1>does it tell you about We're all at this juncture

0:25:27.440 --> 0:25:30.280
<v Speaker 1>right of trying to figure out, okay, recession, what's next.

0:25:30.440 --> 0:25:33.280
<v Speaker 1>Europe's dealing with problems. Asia's dealing with problems. We are

0:25:33.280 --> 0:25:36.560
<v Speaker 1>dealing with problems. What does the outlook and the demand

0:25:36.600 --> 0:25:37.879
<v Speaker 1>based on what you're seeing, what does it tell you

0:25:37.920 --> 0:25:42.119
<v Speaker 1>about the economic outlook? Well, I mean I think everybody, um,

0:25:42.160 --> 0:25:44.320
<v Speaker 1>everybody that makes a machine and everybody that uses a

0:25:44.359 --> 0:25:47.600
<v Speaker 1>machine is thinking about automating it um And this this

0:25:47.720 --> 0:25:51.399
<v Speaker 1>came from the labor shortages that were that were pre COVID.

0:25:51.600 --> 0:25:53.160
<v Speaker 1>I mean, there are a lot of discussions of labor

0:25:53.200 --> 0:25:56.600
<v Speaker 1>shortages now in the post COVID world where you know,

0:25:56.680 --> 0:25:59.760
<v Speaker 1>like Heathrow Airport today saying they're curtailing flights because they

0:25:59.800 --> 0:26:03.080
<v Speaker 1>can have enough workers to move the luggage around, right,

0:26:03.320 --> 0:26:05.919
<v Speaker 1>But this was a fact of life for people in

0:26:06.000 --> 0:26:10.199
<v Speaker 1>farms and warehouses and factories, welders, you know, pre COVID.

0:26:10.320 --> 0:26:14.159
<v Speaker 1>So the automation journey has been something that has been

0:26:14.200 --> 0:26:18.359
<v Speaker 1>happening for decades, and so I think macroeconomically, people are

0:26:18.359 --> 0:26:20.240
<v Speaker 1>still investing in this. They see it as a way

0:26:20.440 --> 0:26:22.280
<v Speaker 1>to smooth production. They see it as a way to

0:26:22.320 --> 0:26:25.560
<v Speaker 1>bring back production into their their home area. Talk to

0:26:25.600 --> 0:26:27.880
<v Speaker 1>us about when you, you know, make your trip here

0:26:27.920 --> 0:26:30.399
<v Speaker 1>today on the train from Philadelphia, and you look around

0:26:30.400 --> 0:26:32.840
<v Speaker 1>and you see where are the areas that stick out

0:26:32.840 --> 0:26:36.200
<v Speaker 1>for you that are just right for automation. So when

0:26:36.240 --> 0:26:38.200
<v Speaker 1>you when you when you drive to the train station,

0:26:38.480 --> 0:26:40.200
<v Speaker 1>you could be in an autonomous car. When you get

0:26:40.240 --> 0:26:42.520
<v Speaker 1>on the train, you could be in an autonomous train.

0:26:42.600 --> 0:26:45.560
<v Speaker 1>When you pass the warehouses on the way to New York,

0:26:45.600 --> 0:26:49.520
<v Speaker 1>you you're passing autonomous warehouses. You're passing autonomous factories, you're

0:26:49.520 --> 0:26:52.920
<v Speaker 1>passing autonomous farms, when you pass a golf course, turf

0:26:52.960 --> 0:26:55.560
<v Speaker 1>care is going autonomous. When you're in an office, I

0:26:55.560 --> 0:26:59.199
<v Speaker 1>bet your cleaning machines here are are either autonomous or

0:26:59.200 --> 0:27:03.359
<v Speaker 1>thinking about become autonomous. Retail stores are becoming autonomous. And

0:27:03.400 --> 0:27:05.960
<v Speaker 1>that's but that's, you know, before we get to the

0:27:06.119 --> 0:27:08.879
<v Speaker 1>really visible things, like like the cars that have gotten

0:27:08.880 --> 0:27:11.159
<v Speaker 1>a lot of attention lately. We hear robotics or we

0:27:11.240 --> 0:27:13.240
<v Speaker 1>hear autonomous, and we're like, okay, what does that mean

0:27:13.600 --> 0:27:16.040
<v Speaker 1>for global workforces? How do you see it in terms

0:27:16.119 --> 0:27:19.640
<v Speaker 1>of what you're doing and how this might play out well.

0:27:20.040 --> 0:27:23.840
<v Speaker 1>As we talked before the break, labor shortages. Labor shortages

0:27:23.920 --> 0:27:28.679
<v Speaker 1>are nothing new to the economy. Um COVID accentuated it

0:27:28.720 --> 0:27:30.960
<v Speaker 1>and made it, made labor shortages really on the front

0:27:30.960 --> 0:27:36.080
<v Speaker 1>of a lot of people's minds. But farming and manufacturing

0:27:36.440 --> 0:27:39.560
<v Speaker 1>and warehousing and retail have all been dealing with labor

0:27:39.560 --> 0:27:42.120
<v Speaker 1>shortages for a really long time. So when we talk

0:27:42.200 --> 0:27:45.720
<v Speaker 1>about this new generation of automation where machines are really

0:27:45.760 --> 0:27:49.280
<v Speaker 1>thinking and acting on their own, what the promises is

0:27:49.400 --> 0:27:52.800
<v Speaker 1>that you can create a human machine team where together

0:27:53.280 --> 0:27:57.600
<v Speaker 1>the production is a lot more safe, and the corporation

0:27:57.680 --> 0:27:59.720
<v Speaker 1>that uses this this human machine team is a lot

0:27:59.720 --> 0:28:03.320
<v Speaker 1>more active. So we're not talking about replacing tons of workers.

0:28:03.359 --> 0:28:07.159
<v Speaker 1>Were talking about taking an existing bunch of workers in

0:28:07.320 --> 0:28:09.640
<v Speaker 1>any given scenaria and making them a lot more productive

0:28:09.680 --> 0:28:13.000
<v Speaker 1>with the human machine team, which allows them to basically

0:28:13.040 --> 0:28:15.800
<v Speaker 1>segregate what each party is good is good at. I mean,

0:28:15.840 --> 0:28:18.480
<v Speaker 1>the humans are good at interacting with each other and

0:28:18.640 --> 0:28:22.560
<v Speaker 1>interacting with other people and making critical thinking decisions and

0:28:22.600 --> 0:28:25.119
<v Speaker 1>things like that, and so we should enable them to

0:28:25.160 --> 0:28:27.560
<v Speaker 1>do the things that make them human. And then machines

0:28:27.560 --> 0:28:30.200
<v Speaker 1>are very precise and predictable, and they should do things

0:28:30.240 --> 0:28:32.639
<v Speaker 1>like that. But it's not only about productive right or

0:28:32.720 --> 0:28:34.399
<v Speaker 1>the right mix. But you also, you know, it is

0:28:34.440 --> 0:28:36.200
<v Speaker 1>interesting what you said to Tim and I in our

0:28:36.240 --> 0:28:38.200
<v Speaker 1>break is that you know, this is a way of

0:28:38.280 --> 0:28:43.080
<v Speaker 1>kind of leveling out labor costs globally, right, right, Absolutely so,

0:28:43.080 --> 0:28:47.520
<v Speaker 1>So as as the cost of production rises in some

0:28:47.560 --> 0:28:52.520
<v Speaker 1>of the global places where production goes now and automation

0:28:52.640 --> 0:28:56.160
<v Speaker 1>over here automation capability increases, I think we'll be able

0:28:56.200 --> 0:29:00.320
<v Speaker 1>to increasingly move production back to localize. There is in

0:29:00.320 --> 0:29:04.800
<v Speaker 1>the United States where consumption can be right down the

0:29:04.920 --> 0:29:07.680
<v Speaker 1>road from the factory and the warehouse that distributes the good.

0:29:08.200 --> 0:29:12.480
<v Speaker 1>And what that could do is make companies more responsive

0:29:12.520 --> 0:29:16.920
<v Speaker 1>to local populations. UH. Could create jobs UH in places

0:29:16.920 --> 0:29:20.720
<v Speaker 1>where there there weren't jobs, could make our manufacturing and

0:29:21.120 --> 0:29:26.640
<v Speaker 1>warehousing work um workforce a lot more competitive globally. And

0:29:26.680 --> 0:29:29.960
<v Speaker 1>so I think we've just discovered how brittle supply chains

0:29:29.960 --> 0:29:32.640
<v Speaker 1>are when they're spread stretched out globally, and we've just

0:29:32.720 --> 0:29:35.360
<v Speaker 1>discovered that that their massive labor shortages. And I think

0:29:35.400 --> 0:29:38.600
<v Speaker 1>automation really addresses both of those, Samuel, I want to

0:29:38.600 --> 0:29:42.160
<v Speaker 1>get more into the technology here, and specifically, if you

0:29:42.240 --> 0:29:46.320
<v Speaker 1>allow companies to operate robots in a safe and efficient way,

0:29:47.120 --> 0:29:49.640
<v Speaker 1>how do you do that better than other companies? Like

0:29:49.880 --> 0:29:52.240
<v Speaker 1>how do you create a system And I want to

0:29:52.280 --> 0:29:54.720
<v Speaker 1>use the term unhackable because you never want to say that,

0:29:54.760 --> 0:29:57.840
<v Speaker 1>but but how do you create a system that keeps

0:29:57.840 --> 0:30:01.200
<v Speaker 1>out bad actors and that also allows these things to

0:30:01.240 --> 0:30:04.040
<v Speaker 1>operate in a way that's safe to the people around them. Sure,

0:30:04.120 --> 0:30:08.160
<v Speaker 1>so we've really focused on communications. So we've we've invented

0:30:08.200 --> 0:30:13.040
<v Speaker 1>a way to fuse what's called functional safety and cybersecurity

0:30:13.160 --> 0:30:15.760
<v Speaker 1>to create a way of that these machines can communicate

0:30:16.400 --> 0:30:18.400
<v Speaker 1>in a way that they can trust the information that

0:30:18.520 --> 0:30:20.760
<v Speaker 1>they're getting. So what they get on the safety side

0:30:21.000 --> 0:30:24.600
<v Speaker 1>is super highly reliable information like ten nines of reliability,

0:30:24.680 --> 0:30:27.320
<v Speaker 1>so that they can use that information to make decisions

0:30:27.360 --> 0:30:30.840
<v Speaker 1>about how they move. And on the security side, you know,

0:30:30.880 --> 0:30:34.600
<v Speaker 1>we start with identity. We started. We use the identity

0:30:34.720 --> 0:30:38.840
<v Speaker 1>to create authentication and then make sure that they're authorized

0:30:38.880 --> 0:30:41.680
<v Speaker 1>to talk with only certain parties. We borrow a lot

0:30:41.720 --> 0:30:44.640
<v Speaker 1>of the techniques that have already been created in the

0:30:44.720 --> 0:30:46.640
<v Speaker 1>human world. I mean a lot. A lot of these

0:30:46.640 --> 0:30:49.160
<v Speaker 1>techniques have already been established to make humans secure in

0:30:49.200 --> 0:30:51.600
<v Speaker 1>their activities on the Internet, but they haven't really been

0:30:51.640 --> 0:30:54.960
<v Speaker 1>applied to machines yet. So we took we took that paradigm,

0:30:55.200 --> 0:30:57.800
<v Speaker 1>we applied it to machines, We fused it with safety,

0:30:57.840 --> 0:31:00.480
<v Speaker 1>and we created this unique fusion of safety and security

0:31:00.560 --> 0:31:04.200
<v Speaker 1>so that all information that machines process can be trusted.

0:31:04.440 --> 0:31:07.520
<v Speaker 1>Big thanks to Samuel Reeves, founder and CEO at First Robotics.

0:31:07.800 --> 0:31:09.520
<v Speaker 1>That wraps up the first hour of the weekend edition

0:31:09.560 --> 0:31:12.080
<v Speaker 1>of Bloomberg Business Week from Bloomberg Radio. I'm Carol Messer

0:31:12.240 --> 0:31:14.520
<v Speaker 1>and I'm Tim Stanovic. Ahead in our next hour, a

0:31:14.560 --> 0:31:18.840
<v Speaker 1>biotech startup thinks artificial intelligence can predict the next COVID variant.

0:31:18.920 --> 0:31:21.160
<v Speaker 1>Bring it on. Plus the CEO of saxon why the

0:31:21.160 --> 0:31:24.800
<v Speaker 1>market for luxury goods remains so strong despite soaring inflation

0:31:25.040 --> 0:31:27.440
<v Speaker 1>in our Business Week cover story, It's all about Saudi

0:31:27.480 --> 0:31:31.880
<v Speaker 1>Crown Prince Mohammed Ben Solomon's billion dollar desert disaster. That's

0:31:31.880 --> 0:31:34.360
<v Speaker 1>some real money. Yuh, all right, that's coming up. This

0:31:34.520 --> 0:31:45.000
<v Speaker 1>is Bloomberg. This is Bloomberg Business Week Inside from the

0:31:45.040 --> 0:31:49.160
<v Speaker 1>reporters and editors who bring you America's most trusted business magazine,

0:31:49.200 --> 0:31:52.800
<v Speaker 1>Plus global business, finance and tech news as it happened

0:31:52.960 --> 0:31:56.800
<v Speaker 1>Bloomberg Business Week with Carol Messer and Bloomberg Quick Takes

0:31:56.880 --> 0:32:01.280
<v Speaker 1>Tim Stinovic on Bloomberg Radio. Plenty ahead in our second

0:32:01.280 --> 0:32:03.920
<v Speaker 1>hour of the weekend edition of Bloomberg Business Week, including

0:32:04.000 --> 0:32:07.160
<v Speaker 1>this week's cover story, how the Saudi Crown Prince's vision

0:32:07.200 --> 0:32:10.680
<v Speaker 1>for a revolutionary new model of urban life is falling

0:32:10.760 --> 0:32:14.280
<v Speaker 1>far short of his expectations. Plus the CEO of Sacks

0:32:14.280 --> 0:32:17.280
<v Speaker 1>on why the luxury goods market remains so resilient and

0:32:17.320 --> 0:32:20.280
<v Speaker 1>which demographic has been the driving force m Tick Tick

0:32:20.320 --> 0:32:22.520
<v Speaker 1>Tic Dick, is it you so somewhat I have something

0:32:22.560 --> 0:32:25.200
<v Speaker 1>to do with it? First, up this hour, some COVID

0:32:25.240 --> 0:32:27.680
<v Speaker 1>news from this past week, and it's a bit sobering.

0:32:28.240 --> 0:32:31.480
<v Speaker 1>The Biden administration is now urging more Americans to get

0:32:31.520 --> 0:32:35.000
<v Speaker 1>their second coronavirus booster shot. This is the amicron B

0:32:35.120 --> 0:32:38.600
<v Speaker 1>A five variant continues to spread across the country. Wouldn't

0:32:38.600 --> 0:32:40.320
<v Speaker 1>it be great, though, Carol, if we could actually get

0:32:40.320 --> 0:32:42.280
<v Speaker 1>ahead of the virus, get ahead of these variants, please

0:32:42.320 --> 0:32:45.320
<v Speaker 1>please please, Well, someone who just recovered from her second

0:32:45.360 --> 0:32:48.560
<v Speaker 1>coronavirus infection, I'm talking about me cases back to back,

0:32:49.000 --> 0:32:51.000
<v Speaker 1>I would say, yes, let's get ahead of this and

0:32:51.040 --> 0:32:52.840
<v Speaker 1>the next variant. Well, this story should give us a

0:32:52.840 --> 0:32:54.760
<v Speaker 1>little bit of hope. It's in the Solution section of

0:32:54.760 --> 0:32:58.640
<v Speaker 1>the magazine Bloomberg News. US healthcare reporter Riley Griffin reports

0:32:58.640 --> 0:33:01.360
<v Speaker 1>on a startup that's using artist facial intelligence to help

0:33:01.440 --> 0:33:05.240
<v Speaker 1>drug makers develop better vaccines and treatments. She and Business

0:33:05.280 --> 0:33:08.160
<v Speaker 1>Week editor Joe Webber give us the details. The player

0:33:08.240 --> 0:33:11.600
<v Speaker 1>at hand is a Priori Bio. They're actually backed by

0:33:11.600 --> 0:33:16.000
<v Speaker 1>a company called Flagship Pioneering, which was the incubator behind Maderna.

0:33:16.120 --> 0:33:19.280
<v Speaker 1>A name you might hear no UM, and they've developed

0:33:19.320 --> 0:33:21.840
<v Speaker 1>this technology that they say can be used to vary

0:33:21.920 --> 0:33:25.880
<v Speaker 1>improve vaccines and therapeutics, or provide an early warning to

0:33:25.960 --> 0:33:29.480
<v Speaker 1>governments about the dangerous mutations are to come, just like

0:33:29.520 --> 0:33:32.960
<v Speaker 1>a hurricane alert. UM. They've spent two years in stealth

0:33:33.040 --> 0:33:36.040
<v Speaker 1>mode building out this technology and trying it against COVID,

0:33:36.440 --> 0:33:39.600
<v Speaker 1>and they suggest it works UM, and they aim to

0:33:39.680 --> 0:33:43.560
<v Speaker 1>partner not just with the pharmaceutical industry, but with public

0:33:43.560 --> 0:33:47.360
<v Speaker 1>sector partners like the CDC. UM. So we still have

0:33:47.520 --> 0:33:49.760
<v Speaker 1>to see what products they might bring to bear or

0:33:49.760 --> 0:33:53.440
<v Speaker 1>what information they've been sharing. UM. But they launched just

0:33:53.640 --> 0:33:58.560
<v Speaker 1>today with fifty million in funding from Flagship Riley. I

0:33:58.560 --> 0:34:01.800
<v Speaker 1>gotta ask a path. Two years seems like a time

0:34:01.800 --> 0:34:03.840
<v Speaker 1>that you might not have wanted to be so quiet

0:34:03.880 --> 0:34:08.480
<v Speaker 1>about this. So you know, there's the pandemic that like,

0:34:09.040 --> 0:34:13.239
<v Speaker 1>uh so, so why the why the the really long

0:34:13.360 --> 0:34:17.680
<v Speaker 1>quiet period? Yeah, just to hone the technology. This has

0:34:17.719 --> 0:34:20.760
<v Speaker 1>been something they've been looking at with each COVID nineteen variants.

0:34:20.800 --> 0:34:24.000
<v Speaker 1>So basically they take the sequence of the virus and

0:34:24.040 --> 0:34:27.680
<v Speaker 1>they can plug it in and assess what they describe

0:34:27.680 --> 0:34:31.919
<v Speaker 1>as synthetic variants. So using the computer they're trying all

0:34:32.000 --> 0:34:35.319
<v Speaker 1>these different potential variants out and assessing how they would

0:34:35.400 --> 0:34:38.520
<v Speaker 1>bind to human antibodies. And as we know over the

0:34:38.600 --> 0:34:42.480
<v Speaker 1>last two years, violence viruses are widely things they mutate

0:34:42.560 --> 0:34:44.960
<v Speaker 1>order and to survive, and these mutations can evade the

0:34:45.040 --> 0:34:49.760
<v Speaker 1>defenses we've either created via natural infection or by vaccines.

0:34:49.800 --> 0:34:52.480
<v Speaker 1>So it's really important to not just know what viruses

0:34:53.160 --> 0:34:56.280
<v Speaker 1>and variants could exist, but know how they will behave

0:34:57.000 --> 0:35:00.480
<v Speaker 1>and that's how they ultimately will design these vari improve

0:35:01.000 --> 0:35:05.640
<v Speaker 1>drugs and vaccines. Um why have they been operating installed

0:35:05.880 --> 0:35:09.239
<v Speaker 1>to really ensure that that technology is up to the

0:35:09.320 --> 0:35:11.560
<v Speaker 1>task and that they can apply it not just to

0:35:11.680 --> 0:35:17.000
<v Speaker 1>COVID but to other viruses like HIV and influenza. So

0:35:17.239 --> 0:35:20.600
<v Speaker 1>that's where there are at this point, correct, That's exactly

0:35:20.640 --> 0:35:23.040
<v Speaker 1>where they're at at this point. They're certainly going to

0:35:23.160 --> 0:35:25.440
<v Speaker 1>be looking for more funding down the line. But this

0:35:25.560 --> 0:35:28.759
<v Speaker 1>is Flagships are really interesting company and they're known for

0:35:28.880 --> 0:35:33.200
<v Speaker 1>doing this. They take uh, you know, twenty fifty million dollars,

0:35:33.239 --> 0:35:35.960
<v Speaker 1>they deploy it to a company they've created, and then

0:35:36.000 --> 0:35:39.480
<v Speaker 1>they watch it flourish. And we've seen that prove successful

0:35:39.520 --> 0:35:42.120
<v Speaker 1>in the case of Maderna. I think now will be

0:35:42.239 --> 0:35:44.399
<v Speaker 1>a test for a priority. We're gonna have to see

0:35:44.400 --> 0:35:47.000
<v Speaker 1>where they go. But this is just the beginning. If

0:35:47.000 --> 0:35:49.440
<v Speaker 1>this can be used for good to help us predict

0:35:49.440 --> 0:35:52.120
<v Speaker 1>where viruses are going, could there be biosecurity threats with

0:35:52.120 --> 0:35:55.839
<v Speaker 1>this type of technology as well? It's the very same

0:35:55.960 --> 0:35:58.400
<v Speaker 1>question I had for the co founder and CEO. I

0:35:58.400 --> 0:36:00.279
<v Speaker 1>think we all need to be a tuned to these

0:36:00.400 --> 0:36:05.520
<v Speaker 1>questions of biosecurity risks. As we enter this biotech revolution

0:36:05.640 --> 0:36:09.320
<v Speaker 1>with more information than ever and the ability to essentially

0:36:09.719 --> 0:36:12.920
<v Speaker 1>come up with a synthetic variant that could be dangerous

0:36:12.920 --> 0:36:15.880
<v Speaker 1>and damaging, You've got to wonder if that were in

0:36:16.000 --> 0:36:18.600
<v Speaker 1>the hands of a nefarious actor, what what could happen?

0:36:19.200 --> 0:36:21.400
<v Speaker 1>Um A Priori says that they've been focused on that

0:36:21.480 --> 0:36:25.000
<v Speaker 1>question from the very beginning, since the time they realized

0:36:25.040 --> 0:36:28.640
<v Speaker 1>they could make these biologically meaningful predictions, and that they've

0:36:28.760 --> 0:36:32.359
<v Speaker 1>partnered with external experts to implement tests and stand up

0:36:32.360 --> 0:36:35.880
<v Speaker 1>that security. And they caution to me again and again,

0:36:36.160 --> 0:36:39.080
<v Speaker 1>remember we're not working with viral material. We're not in

0:36:39.160 --> 0:36:43.320
<v Speaker 1>a lab with the literal virus itself. They are plugging

0:36:43.360 --> 0:36:47.600
<v Speaker 1>these data points into a computer and assessing and modeling

0:36:47.640 --> 0:36:50.960
<v Speaker 1>with machine learning. It feels like we've been playing from

0:36:51.000 --> 0:36:53.359
<v Speaker 1>behind for oh, I don't know, two and a half

0:36:53.480 --> 0:36:57.400
<v Speaker 1>years now. Is there a chance that the UM, this

0:36:57.520 --> 0:37:02.840
<v Speaker 1>company couldn't maybe help us from ahead for once. I

0:37:02.840 --> 0:37:05.600
<v Speaker 1>think that's the hope, And we got to see what

0:37:05.680 --> 0:37:07.880
<v Speaker 1>the government does that as well, because at the end

0:37:07.920 --> 0:37:11.439
<v Speaker 1>of the day, a lot of our response comes through

0:37:11.480 --> 0:37:16.040
<v Speaker 1>public private partnership UM. Right now, we're seeing a stalling

0:37:16.160 --> 0:37:21.839
<v Speaker 1>of interest from Congress in the immediate pandemic response UM.

0:37:21.840 --> 0:37:24.719
<v Speaker 1>There's been quite a debacle between the White House and

0:37:24.760 --> 0:37:28.279
<v Speaker 1>Congress over funding to do this kind of work really,

0:37:28.320 --> 0:37:33.200
<v Speaker 1>pandemic prep, not immediate deploying of vaccines to people, but

0:37:33.320 --> 0:37:37.160
<v Speaker 1>thinking through what could come next, and all the demands

0:37:37.200 --> 0:37:41.439
<v Speaker 1>for billions in funding UM to do that longer term

0:37:41.440 --> 0:37:47.080
<v Speaker 1>pandemic prep really hasn't gotten much UM momentum. So we're

0:37:47.080 --> 0:37:50.080
<v Speaker 1>seeing UM efforts come out of the private sector. But

0:37:50.120 --> 0:37:52.279
<v Speaker 1>I think we really got to ask ourselves is the

0:37:52.280 --> 0:37:55.399
<v Speaker 1>public sector bought into That was Bloomberg News USL Care

0:37:55.400 --> 0:37:58.440
<v Speaker 1>reporter Riley Griffin, joined there by Business Week editor Joe Weber.

0:37:58.480 --> 0:38:01.120
<v Speaker 1>More variants are coming, huh. I mean that's like, you know,

0:38:01.239 --> 0:38:05.319
<v Speaker 1>death taxes, invariants, oh no, all right, Well you're listening

0:38:05.360 --> 0:38:08.600
<v Speaker 1>to Bloomberg Business Week coming up. Our cover story takes

0:38:08.640 --> 0:38:12.120
<v Speaker 1>us to the Arabian Peninsula and the planned city Neom.

0:38:12.400 --> 0:38:14.840
<v Speaker 1>It's the Saudi Crown Prince's grand vision for a so

0:38:15.000 --> 0:38:17.680
<v Speaker 1>called smart city. Stick around to find out why it's

0:38:17.680 --> 0:38:21.120
<v Speaker 1>still far from Finnish nearly five years after breaking ground.

0:38:21.480 --> 0:38:33.960
<v Speaker 1>This is Bloomberg. This is Bloomberg Business Week with Carol

0:38:34.000 --> 0:38:38.240
<v Speaker 1>Messer and Bloomberg Quick Takes Tim Stinovik from Bloomberg Radio.

0:38:39.680 --> 0:38:42.000
<v Speaker 1>We turned out to our cover story, the tale of

0:38:42.000 --> 0:38:45.279
<v Speaker 1>a half a trillion dollar mega project gone wrong. It

0:38:45.360 --> 0:38:48.879
<v Speaker 1>began when Saudi Arabia's Crown Prince Mohammed bin Salmon set

0:38:48.920 --> 0:38:51.480
<v Speaker 1>out to build the city of Naom in an effort

0:38:51.480 --> 0:38:55.240
<v Speaker 1>to revolutionize urban life. But five years in, the project

0:38:55.239 --> 0:38:58.360
<v Speaker 1>has been plagued by financial waste and setbacks, much of

0:38:58.400 --> 0:39:01.480
<v Speaker 1>it because the prince is inner circle just won't tell

0:39:01.560 --> 0:39:05.959
<v Speaker 1>him no. Bloomberg News Saudi Arabia correspondent Vivian near Rhyme

0:39:06.000 --> 0:39:08.480
<v Speaker 1>and a Business Week editor Joel Weber join us now

0:39:08.520 --> 0:39:12.200
<v Speaker 1>to help us understand this massive desert disaster. So Joel,

0:39:12.239 --> 0:39:14.719
<v Speaker 1>I can just imagine the pitch here um tell us

0:39:14.719 --> 0:39:17.280
<v Speaker 1>a little bit about what you wanted to know about

0:39:17.320 --> 0:39:20.080
<v Speaker 1>this and how it laid out. Well, I mean, Vivian

0:39:20.200 --> 0:39:23.239
<v Speaker 1>basically was like, hey, how about we go big on

0:39:23.320 --> 0:39:26.040
<v Speaker 1>Niom and try and learn how to learn everything we can?

0:39:26.120 --> 0:39:29.000
<v Speaker 1>And and you know, Neiom, if you followed the story

0:39:29.040 --> 0:39:33.480
<v Speaker 1>at all, has been a huge curiosity ever since NBS

0:39:33.600 --> 0:39:36.840
<v Speaker 1>first announced it, but then it's been pretty opique and

0:39:36.840 --> 0:39:39.920
<v Speaker 1>it's been really hard to get meaningful information about it.

0:39:40.040 --> 0:39:44.680
<v Speaker 1>So this basically is the most thorough story anyone's ever

0:39:44.719 --> 0:39:48.680
<v Speaker 1>published about the project. So so, Vivian, what what is

0:39:48.719 --> 0:39:54.279
<v Speaker 1>the project? And how far along or is it? Yeah? Well,

0:39:54.320 --> 0:39:56.280
<v Speaker 1>I mean what is the project? It's a great question,

0:39:56.360 --> 0:39:58.760
<v Speaker 1>and I think it's one that I went in thinking

0:39:58.800 --> 0:40:01.080
<v Speaker 1>we might be able to answer. And then the sort

0:40:01.120 --> 0:40:03.360
<v Speaker 1>of interesting thing was that even the people inside the

0:40:03.360 --> 0:40:06.480
<v Speaker 1>project can't often answer that themselves. So it's become this

0:40:06.600 --> 0:40:11.280
<v Speaker 1>sort of massive, brawling ambition that keeps going in different directions,

0:40:11.680 --> 0:40:13.440
<v Speaker 1>and that was kind of what was really interesting to

0:40:13.520 --> 0:40:16.600
<v Speaker 1>discover it. And essentially it's it's a new region now.

0:40:16.640 --> 0:40:18.640
<v Speaker 1>It began its life as this idea to build a

0:40:18.680 --> 0:40:22.120
<v Speaker 1>city from scratch, and now it's morphed into an entire

0:40:22.239 --> 0:40:26.520
<v Speaker 1>semi autonomous region full of different cities and different towns,

0:40:26.640 --> 0:40:29.480
<v Speaker 1>and there's a tourism component to it. There's an industrial

0:40:29.560 --> 0:40:31.719
<v Speaker 1>city that's going to you know, float on the Red

0:40:31.760 --> 0:40:34.120
<v Speaker 1>Sea according to the plans, and there's even a ski

0:40:34.239 --> 0:40:36.759
<v Speaker 1>resort up in the mountains and what is essentially the

0:40:36.760 --> 0:40:38.960
<v Speaker 1>middle of the desert. What is this area of Saudi

0:40:39.000 --> 0:40:43.640
<v Speaker 1>Arabia like and who lived there before NBS set on

0:40:43.680 --> 0:40:46.719
<v Speaker 1>on this ambitious project. Yes, I've been up to the

0:40:46.719 --> 0:40:49.359
<v Speaker 1>area that they're calling them now maybe three times over

0:40:49.400 --> 0:40:52.040
<v Speaker 1>the past few years. It is really remote. I mean

0:40:52.040 --> 0:40:54.360
<v Speaker 1>you basically have to like from Ria, the capital, you

0:40:54.440 --> 0:40:56.279
<v Speaker 1>take like a two hour plane ride and then you

0:40:56.320 --> 0:40:59.080
<v Speaker 1>also drive for another two hours. So it's it's a

0:40:59.120 --> 0:41:01.719
<v Speaker 1>place that most youse haven't been either. It's it's right

0:41:01.760 --> 0:41:04.920
<v Speaker 1>on the border with Jordan's across the Red Sea from Egypt,

0:41:05.200 --> 0:41:07.080
<v Speaker 1>very close to Israel, which is something a lot of

0:41:07.080 --> 0:41:10.080
<v Speaker 1>people point out about this project. And it's very beautiful,

0:41:10.120 --> 0:41:12.360
<v Speaker 1>like you know, there's this gorgeous sort of like you know,

0:41:12.400 --> 0:41:16.480
<v Speaker 1>pristine beaches and these really dramatic mountains. But it wasn't

0:41:16.520 --> 0:41:20.480
<v Speaker 1>super populated. There were, however, several towns along the coast

0:41:20.640 --> 0:41:23.960
<v Speaker 1>where members of a tribe called the Choice Pot live

0:41:24.120 --> 0:41:26.279
<v Speaker 1>and had been there for generations, So it wasn't an

0:41:26.320 --> 0:41:28.640
<v Speaker 1>empty area, which is what sort of the crowd Prince

0:41:28.680 --> 0:41:30.880
<v Speaker 1>and other people who promote NEOM have promoted as a

0:41:30.960 --> 0:41:33.359
<v Speaker 1>sort of blank slate. To invent the blank slate, they

0:41:33.400 --> 0:41:36.080
<v Speaker 1>essentially began to remove those people who had lived there.

0:41:36.480 --> 0:41:39.919
<v Speaker 1>And there were initially a lot of investors, and then

0:41:40.719 --> 0:41:45.360
<v Speaker 1>there was a killing of a prominent journalist. What happened

0:41:45.400 --> 0:41:49.320
<v Speaker 1>to Neom's trajectory after that? Yeah, well so so Jamal Session.

0:41:49.400 --> 0:41:52.040
<v Speaker 1>He was an American resident. He worked for the Washington Post,

0:41:52.080 --> 0:41:55.480
<v Speaker 1>which is obviously a major American publication writing opinion column.

0:41:55.560 --> 0:41:58.840
<v Speaker 1>And his murder Ineen was a huge shock to Saudi

0:41:58.880 --> 0:42:01.759
<v Speaker 1>Arabia overall, to all of its projects and all of

0:42:01.800 --> 0:42:04.279
<v Speaker 1>its plan NEO took a huge knock. There was this

0:42:04.400 --> 0:42:07.880
<v Speaker 1>huge advisory board that they had basically um just announced

0:42:07.920 --> 0:42:10.000
<v Speaker 1>that was like all these kind of high profile figures

0:42:10.040 --> 0:42:12.560
<v Speaker 1>all the way from sort of starchitects like Norman Foster

0:42:12.800 --> 0:42:16.480
<v Speaker 1>to you know, x US officials earnest monies sort of

0:42:16.480 --> 0:42:19.560
<v Speaker 1>the former US Energy Secretary, and a lot of those

0:42:19.600 --> 0:42:22.800
<v Speaker 1>people did actually pull out of the project after or

0:42:23.200 --> 0:42:25.440
<v Speaker 1>the murder came to light essentially, and there was sort

0:42:25.440 --> 0:42:27.000
<v Speaker 1>of a lot of pressure to back off of doing

0:42:27.000 --> 0:42:29.280
<v Speaker 1>business with the crowd print doing business of Saudi Arabia.

0:42:29.760 --> 0:42:31.600
<v Speaker 1>The really interesting thing that I found is I started

0:42:31.640 --> 0:42:35.200
<v Speaker 1>looking into this, is that a lot of companies and

0:42:35.480 --> 0:42:39.439
<v Speaker 1>architects and consultants are still doing business with Neo under

0:42:39.480 --> 0:42:42.000
<v Speaker 1>the radar. You know, they're still doing plans, they're still

0:42:42.000 --> 0:42:44.400
<v Speaker 1>doing projects, they're still working with them, and it's essentially

0:42:44.640 --> 0:42:47.200
<v Speaker 1>almost the largest construction project in the world at this point.

0:42:47.239 --> 0:42:49.200
<v Speaker 1>Like it's it's become quite massive. You know, they have

0:42:49.239 --> 0:42:52.160
<v Speaker 1>ambitions to have four d fifty thousand laborers on on

0:42:52.200 --> 0:42:54.440
<v Speaker 1>the site within a couple of year, which is basically

0:42:54.480 --> 0:42:58.360
<v Speaker 1>the population of Miami. Just the scale of it must

0:42:58.400 --> 0:43:01.799
<v Speaker 1>be something to behold. They you actually have been up

0:43:01.840 --> 0:43:05.040
<v Speaker 1>there before, right, so so tell us about that. And also,

0:43:05.160 --> 0:43:08.319
<v Speaker 1>you know, if foreign money is not involved anymore, this

0:43:08.400 --> 0:43:12.200
<v Speaker 1>is all being done how exactly. I think that's something

0:43:12.200 --> 0:43:14.600
<v Speaker 1>they're still trying to figure out itselves, you know. Is

0:43:14.960 --> 0:43:17.160
<v Speaker 1>I think the five billion dollar number that they threw

0:43:17.160 --> 0:43:19.040
<v Speaker 1>out there is like a starting budget. At this point.

0:43:19.080 --> 0:43:20.840
<v Speaker 1>They still don't even know what a lot of this

0:43:20.960 --> 0:43:22.680
<v Speaker 1>is going to cost They could end up costing more,

0:43:23.000 --> 0:43:24.520
<v Speaker 1>and where is that money going to come from. They

0:43:24.520 --> 0:43:27.000
<v Speaker 1>still wanted to come from outside, but right now it's

0:43:27.040 --> 0:43:29.879
<v Speaker 1>pretty much fully backed by the Public Investment Fund, which

0:43:29.880 --> 0:43:32.560
<v Speaker 1>is Saudi Arabia's sovereign wealth funds. So they're spending you know,

0:43:32.560 --> 0:43:34.600
<v Speaker 1>they've already spent several billion on it. You know, they're

0:43:34.600 --> 0:43:37.680
<v Speaker 1>spending pretty pretty prolifically. I did go up there and

0:43:37.719 --> 0:43:40.279
<v Speaker 1>sort of do a tour of the site officially, you know,

0:43:40.320 --> 0:43:42.239
<v Speaker 1>I went to visit their main camp, which is this

0:43:42.480 --> 0:43:45.440
<v Speaker 1>very sort of strange place in the desert, surrounded by

0:43:45.480 --> 0:43:49.120
<v Speaker 1>barbed wire, heavily secured, where they've got sort of hundreds

0:43:49.160 --> 0:43:53.120
<v Speaker 1>and hundreds of you know, high powered executives and professionals

0:43:53.120 --> 0:43:55.880
<v Speaker 1>from all over the world who are working on this

0:43:56.040 --> 0:43:58.920
<v Speaker 1>camp essentially, which is like very much felt like a

0:43:58.920 --> 0:44:01.840
<v Speaker 1>cross between like something from Silicon Valley and like maybe

0:44:01.880 --> 0:44:05.000
<v Speaker 1>like a minimum security prison. Um And even the employees

0:44:05.040 --> 0:44:06.640
<v Speaker 1>make a lot of jokes about that. They're like, oh,

0:44:06.640 --> 0:44:07.960
<v Speaker 1>you know, the wall, We're not sure if it's to

0:44:08.080 --> 0:44:09.920
<v Speaker 1>keep people out or to keep us in. So it's

0:44:09.960 --> 0:44:13.960
<v Speaker 1>a very strange atmosphere. There's not a ton of visible

0:44:14.040 --> 0:44:16.600
<v Speaker 1>construction going on now. It's a lot of preparatory work.

0:44:16.640 --> 0:44:19.359
<v Speaker 1>It's like groundwork. You know, they're digging big tunnels, they're

0:44:19.840 --> 0:44:21.799
<v Speaker 1>moothing out ground. But it's not like you can go

0:44:21.880 --> 0:44:24.239
<v Speaker 1>there now and like see a city or see you know,

0:44:24.280 --> 0:44:26.399
<v Speaker 1>any of the things that they've been planning. There's still

0:44:26.440 --> 0:44:28.440
<v Speaker 1>a pretty big gap between what they're talking about and

0:44:28.440 --> 0:44:30.920
<v Speaker 1>what's happening on the ground. It sounds like they start things,

0:44:31.000 --> 0:44:33.160
<v Speaker 1>they start working on it, and they back off of it.

0:44:33.160 --> 0:44:35.640
<v Speaker 1>It sounds like a lot of you know, starts and stops.

0:44:36.239 --> 0:44:38.799
<v Speaker 1>Who does seem to be winning though, all in is

0:44:38.960 --> 0:44:41.320
<v Speaker 1>if you're a consultant or anybody involved in the project.

0:44:41.360 --> 0:44:44.040
<v Speaker 1>I love the line you talk about two buckets for

0:44:44.040 --> 0:44:45.920
<v Speaker 1>those who work on the project, and one of it

0:44:45.960 --> 0:44:48.200
<v Speaker 1>is a bucket just to hold all the money that

0:44:48.239 --> 0:44:51.400
<v Speaker 1>they're making. Don't mention the other bucket. Bucket, Well, you

0:44:51.440 --> 0:44:58.680
<v Speaker 1>can for number two. But people are making a ton

0:44:58.719 --> 0:45:00.800
<v Speaker 1>of money off of this. Are a lot of people

0:45:00.840 --> 0:45:03.440
<v Speaker 1>who have found this to be an incredibly lucrative project,

0:45:03.600 --> 0:45:06.560
<v Speaker 1>and that is predominantly the consultant and the people who

0:45:06.640 --> 0:45:09.400
<v Speaker 1>come from outside to work. There was was something that

0:45:09.440 --> 0:45:11.360
<v Speaker 1>sort of came up again and again, and my conversations

0:45:11.360 --> 0:45:13.399
<v Speaker 1>with people was that this is basically like a life

0:45:13.480 --> 0:45:15.759
<v Speaker 1>changing job for a lot of people, Like they can

0:45:15.800 --> 0:45:19.080
<v Speaker 1>come and make so much money that they can essentially,

0:45:19.239 --> 0:45:20.799
<v Speaker 1>you know, it makes a easy difference to their life.

0:45:20.800 --> 0:45:22.879
<v Speaker 1>They can finish putting their kids through college, they can

0:45:23.040 --> 0:45:25.439
<v Speaker 1>you know, save up for retirement home. And so many

0:45:25.440 --> 0:45:27.360
<v Speaker 1>of the people who come to do that are basically

0:45:27.400 --> 0:45:30.040
<v Speaker 1>coming to earn that giant paycheck and they don't all

0:45:30.080 --> 0:45:33.200
<v Speaker 1>necessarily actually have an investment. And what actually happens once

0:45:33.239 --> 0:45:35.600
<v Speaker 1>they're gone, which of course is the recipe for disaster.

0:45:35.760 --> 0:45:37.640
<v Speaker 1>You know, people who don't necessarily have a stake at

0:45:37.640 --> 0:45:40.480
<v Speaker 1>the success of the project. Um sort of coming for

0:45:40.520 --> 0:45:42.040
<v Speaker 1>a couple of years and then leaving, and there is

0:45:42.120 --> 0:45:44.880
<v Speaker 1>quite a lot of turnover going on, and the atmosphere

0:45:44.960 --> 0:45:47.680
<v Speaker 1>inside is pretty chaodding. Um. They've brought in, you know,

0:45:47.840 --> 0:45:50.000
<v Speaker 1>pretty impressive talent from all over the world. You know,

0:45:50.040 --> 0:45:54.320
<v Speaker 1>you have former executives from companies like Ge and Borrow, Happled,

0:45:54.440 --> 0:45:56.920
<v Speaker 1>you know, working on the project. But there's also a

0:45:56.960 --> 0:45:59.680
<v Speaker 1>lot of people leaving. Well. It's an incredible story. Vivian

0:45:59.680 --> 0:46:03.239
<v Speaker 1>the overt story of this edition of Bloomberg Business Week

0:46:03.280 --> 0:46:07.120
<v Speaker 1>Bloomberg New Saudi Arabia correspondent Vivian Knee Rhyme, also with

0:46:07.239 --> 0:46:10.399
<v Speaker 1>US Business Week editor Joel Weber on this week's cover story.

0:46:10.480 --> 0:46:13.319
<v Speaker 1>Check it out on newsstands, now online at Bloomberg dot com,

0:46:13.320 --> 0:46:16.040
<v Speaker 1>slash business weekend of course on the Bloomberg terminal. All right,

0:46:16.080 --> 0:46:19.239
<v Speaker 1>still to come on Bloomberg Business Week Epinadas tunas Vich

0:46:19.640 --> 0:46:23.279
<v Speaker 1>and slow roasted Cornidas From New York City to Istanbul

0:46:23.760 --> 0:46:26.480
<v Speaker 1>Chef Richard Sandoval telling us how he's kept cooking in

0:46:26.480 --> 0:46:29.480
<v Speaker 1>a world of rising costs and slower supply chains. This

0:46:29.719 --> 0:46:36.640
<v Speaker 1>is Bloomberg Broadcasting from the financial capital of the World,

0:46:36.719 --> 0:46:40.200
<v Speaker 1>Bloomberg eleven Frio in New York to Washington, d C.

0:46:40.360 --> 0:46:45.080
<v Speaker 1>Bloomberg to Boston, Bloomberg one O six one to San Francisco,

0:46:45.160 --> 0:46:48.600
<v Speaker 1>Bloomberg nine sixty to the country Sirius XM Chado one

0:46:48.680 --> 0:46:51.840
<v Speaker 1>nineteen and around the globe the Bloomberg Business app and

0:46:51.880 --> 0:46:59.480
<v Speaker 1>Bloomberg Radio dot Com. This is Bloomberg Business Week, Biblio

0:46:59.600 --> 0:47:02.759
<v Speaker 1>Teca Toro. Maya hear those names and you will think

0:47:02.760 --> 0:47:05.960
<v Speaker 1>of our next guest, Chef Richards Sandoval. He is founder

0:47:05.960 --> 0:47:09.360
<v Speaker 1>of the Sundaval hospitality group with more than fifty locations

0:47:09.400 --> 0:47:12.720
<v Speaker 1>spanning four continents, ten countries and ten U s states.

0:47:12.880 --> 0:47:15.240
<v Speaker 1>His company is facing the dual challenge of rising prices

0:47:15.280 --> 0:47:18.040
<v Speaker 1>along with decreased foot traffic and the ones bustling urban

0:47:18.080 --> 0:47:21.040
<v Speaker 1>areas where his restaurants are located. The renowned chef went

0:47:21.080 --> 0:47:23.080
<v Speaker 1>in depth with us on the long road back to

0:47:23.200 --> 0:47:26.560
<v Speaker 1>business as usual, a place that appeared unreachable back in March.

0:47:27.320 --> 0:47:29.839
<v Speaker 1>He joined us from rural Tuscany, and you'll hear it

0:47:29.920 --> 0:47:31.920
<v Speaker 1>in the cell phone connection. Obviously. You know, we had

0:47:31.960 --> 0:47:33.920
<v Speaker 1>to furrow everybody when the pandemic hit. I mean, we

0:47:34.000 --> 0:47:37.799
<v Speaker 1>closed every restaurant around the world, so it was very impactful.

0:47:38.080 --> 0:47:40.439
<v Speaker 1>And as you know, luckily, you know, the government helped

0:47:40.480 --> 0:47:43.840
<v Speaker 1>us with p P money, so it helps us stay afloat.

0:47:44.320 --> 0:47:45.719
<v Speaker 1>And then all of a sudden, I mean, you know,

0:47:45.840 --> 0:47:48.759
<v Speaker 1>as the pandemic started to go away, I mean just

0:47:48.800 --> 0:47:51.600
<v Speaker 1>the numbers and people you know, wanting to get out

0:47:51.600 --> 0:47:53.960
<v Speaker 1>into into the restaurants and get out of their homes

0:47:53.960 --> 0:47:57.279
<v Speaker 1>with staggering so you know, our numbers just skyrocketed. Um

0:47:57.320 --> 0:47:58.880
<v Speaker 1>as you were saying that, you know, we you know,

0:47:58.920 --> 0:48:02.480
<v Speaker 1>we had our challenges with labor, with supply chains. So

0:48:02.600 --> 0:48:05.880
<v Speaker 1>it's been you know, it's been a balancing act. But

0:48:06.000 --> 0:48:08.239
<v Speaker 1>you know, luckily that the numbers are there. People are back,

0:48:08.280 --> 0:48:09.840
<v Speaker 1>you know, going to the restaurants, and you know, the

0:48:09.920 --> 0:48:12.839
<v Speaker 1>numbers are looking very good. Well, you've got a great

0:48:12.920 --> 0:48:16.520
<v Speaker 1>view because you've got four different continents, more than fifty

0:48:16.600 --> 0:48:19.640
<v Speaker 1>restaurants around the world. And I'm wondering what you can

0:48:19.640 --> 0:48:22.560
<v Speaker 1>tell us about regional differences when it comes to the

0:48:22.600 --> 0:48:25.759
<v Speaker 1>bounce back that you've seen in recent months, Chef, what

0:48:26.080 --> 0:48:27.759
<v Speaker 1>are you seeing that? What are you seeing differences? And

0:48:27.800 --> 0:48:30.840
<v Speaker 1>what are those differences? Right? Well, I think the biggest differences,

0:48:30.920 --> 0:48:33.240
<v Speaker 1>you know, I mean the bigger cities were much more impacted.

0:48:33.320 --> 0:48:35.080
<v Speaker 1>I mean, for example, in New York, you know was

0:48:35.600 --> 0:48:39.400
<v Speaker 1>you know, it has been more challenging. I think a

0:48:39.400 --> 0:48:41.520
<v Speaker 1>lot of people left the big cities. And also, you know,

0:48:41.560 --> 0:48:44.120
<v Speaker 1>people are working from you know, these new uh you know,

0:48:44.239 --> 0:48:47.080
<v Speaker 1>hybrids of you know, two days um, you know at

0:48:47.080 --> 0:48:49.000
<v Speaker 1>the office, three days at home. So you're not seeing

0:48:49.000 --> 0:48:52.200
<v Speaker 1>the density in the in the big city as far

0:48:52.239 --> 0:48:54.640
<v Speaker 1>as you know, lunch business. But for example, I mean

0:48:54.640 --> 0:48:59.080
<v Speaker 1>the tourist destinations, for example, the mountains, uh, you know,

0:48:59.440 --> 0:49:01.680
<v Speaker 1>you know, the resources like for example, the rich Cross

0:49:01.680 --> 0:49:04.160
<v Speaker 1>and Laguna. I mean, just I mean, we've never seen

0:49:04.440 --> 0:49:06.880
<v Speaker 1>this kind of business. Richard. How much of your business

0:49:06.920 --> 0:49:09.120
<v Speaker 1>is tourism? How much is business? I mean, I don't

0:49:09.120 --> 0:49:11.120
<v Speaker 1>know how much of the demographics you guys are able

0:49:11.160 --> 0:49:14.160
<v Speaker 1>to analyze. Well, I think it depends on the destination,

0:49:14.280 --> 0:49:16.560
<v Speaker 1>right I said, I mean New York for example. You know,

0:49:16.600 --> 0:49:19.200
<v Speaker 1>if you're in midtown, you obviously depend you know, their

0:49:19.280 --> 0:49:24.880
<v Speaker 1>lunch business. How you dependent on on businessmen? But again

0:49:24.880 --> 0:49:28.400
<v Speaker 1>for example, you know the risk Carlton, the mountains, um,

0:49:28.440 --> 0:49:33.600
<v Speaker 1>you know it's it's mostly tourism, Denver, Um proper, Downtown.

0:49:33.719 --> 0:49:36.120
<v Speaker 1>You know, you know, we haven't seen our lunch business

0:49:36.120 --> 0:49:38.640
<v Speaker 1>come back as strong as we have our our business

0:49:38.680 --> 0:49:41.640
<v Speaker 1>dinner business. So I think every you know, every area

0:49:41.800 --> 0:49:44.040
<v Speaker 1>is different, um and for us, and we'll win so

0:49:44.040 --> 0:49:48.080
<v Speaker 1>many different places that you know, we have different challenges

0:49:48.120 --> 0:49:51.160
<v Speaker 1>in different locations. How did coming out of the pandemic,

0:49:51.640 --> 0:49:53.920
<v Speaker 1>how did it, if at all kind of shape maybe

0:49:53.920 --> 0:49:56.360
<v Speaker 1>what you wanted to do next? Well, you know, I

0:49:56.400 --> 0:49:58.960
<v Speaker 1>mean I think it helped us, uh you know, I

0:49:58.960 --> 0:50:00.719
<v Speaker 1>mean almost you know, like like sessions, I mean, it

0:50:00.719 --> 0:50:02.440
<v Speaker 1>helps you make adjustin as you have to you know,

0:50:02.560 --> 0:50:04.800
<v Speaker 1>react quicker. You know, we had a big problem with

0:50:04.920 --> 0:50:08.400
<v Speaker 1>supply change, which was a big challenging challenge for openings

0:50:08.400 --> 0:50:10.360
<v Speaker 1>that we had coming along. So a lot of our

0:50:10.440 --> 0:50:13.040
<v Speaker 1>openings have been delayed. So you know, I think what

0:50:13.040 --> 0:50:14.960
<v Speaker 1>what we did is, you know, we reacted and started

0:50:15.000 --> 0:50:19.040
<v Speaker 1>going towards you know, more local products. For example, Marrakesh,

0:50:19.239 --> 0:50:22.480
<v Speaker 1>you know are os and me which is our china.

0:50:22.920 --> 0:50:25.040
<v Speaker 1>You know glass where silver where was on a boat?

0:50:25.560 --> 0:50:27.359
<v Speaker 1>You know, it was three weeks delay, So we went

0:50:27.360 --> 0:50:30.400
<v Speaker 1>actually to local marks and started by local products. And

0:50:30.440 --> 0:50:32.759
<v Speaker 1>even in the US, I mean because of inflation, you know,

0:50:32.800 --> 0:50:35.080
<v Speaker 1>we've had to go more towards you know, you know,

0:50:35.160 --> 0:50:38.279
<v Speaker 1>local um, you know, seasonal products and to help you

0:50:38.440 --> 0:50:40.480
<v Speaker 1>keep our costs costs down because you know, you can't

0:50:41.040 --> 0:50:43.360
<v Speaker 1>you know, just cost you know, transferred all the costs

0:50:43.360 --> 0:50:45.479
<v Speaker 1>to your to your guests. I mean, like I said,

0:50:45.520 --> 0:50:47.360
<v Speaker 1>you know, we've also had to you know, work with

0:50:47.400 --> 0:50:50.560
<v Speaker 1>smaller menus because of the labor issues that that that

0:50:50.600 --> 0:50:53.160
<v Speaker 1>are happening in the country. So you know, we turned

0:50:53.200 --> 0:50:55.799
<v Speaker 1>our menus down, um, you know, to be able to

0:50:55.800 --> 0:50:57.719
<v Speaker 1>cut you know, some of our labor in the in

0:50:57.800 --> 0:50:59.880
<v Speaker 1>the back of the house. Again, I think right now.

0:51:00.000 --> 0:51:02.200
<v Speaker 1>It's very important to be very reactive to these things

0:51:02.239 --> 0:51:04.240
<v Speaker 1>are going on because it's just too many things happening

0:51:04.239 --> 0:51:09.520
<v Speaker 1>and very fast. You have to be very, very, very reactive. So, Chef,

0:51:09.560 --> 0:51:13.080
<v Speaker 1>I'm wondering you mentioned inflation. Help us understand how much

0:51:13.120 --> 0:51:16.400
<v Speaker 1>prices have gone up. It is very challenging. Um As

0:51:16.440 --> 0:51:18.200
<v Speaker 1>you know, we've seen them Government party, I mean in

0:51:18.239 --> 0:51:21.839
<v Speaker 1>place at nine So yeah, I mean two years ago.

0:51:22.160 --> 0:51:25.640
<v Speaker 1>You know, we're seeing on some sort of products. So

0:51:26.040 --> 0:51:27.960
<v Speaker 1>you know, the only way we're able to make up

0:51:28.000 --> 0:51:29.959
<v Speaker 1>for that is and I'm sure you're seeing it wherever

0:51:30.000 --> 0:51:32.120
<v Speaker 1>you're at, I mean restaurant. You know, many prices have

0:51:33.080 --> 0:51:35.840
<v Speaker 1>significantly over the last two years, so I think what

0:51:36.080 --> 0:51:38.640
<v Speaker 1>were we're being able to make it? Also adjustment is

0:51:38.680 --> 0:51:41.640
<v Speaker 1>by using a lot more local, um, you know, purveyors,

0:51:41.719 --> 0:51:43.960
<v Speaker 1>local farmers, you know, a lot of you know, more

0:51:44.040 --> 0:51:47.439
<v Speaker 1>seasonal ingredients and and worked with that to be able

0:51:47.480 --> 0:51:51.680
<v Speaker 1>to have some containment that. Chef Richard Sandoval, a pioneer

0:51:51.680 --> 0:51:54.360
<v Speaker 1>in contemporary Latin cuisine and the founder of the Sandoval

0:51:54.440 --> 0:51:57.640
<v Speaker 1>Hospitality Group. I'm hungry. Yeah, let's go, let's get in

0:51:57.640 --> 0:52:00.480
<v Speaker 1>the cook Okay, I mean I think we'd have to

0:52:00.520 --> 0:52:01.920
<v Speaker 1>go to one of the restaurants. All right, I'm in

0:52:01.960 --> 0:52:04.160
<v Speaker 1>for that. All right. You're listening to Bloomberg Business Week.

0:52:04.200 --> 0:52:07.160
<v Speaker 1>Coming up next beach trips, five star dining. The end

0:52:07.200 --> 0:52:10.480
<v Speaker 1>of lockdowns have left luxury buyers in need of new clothes.

0:52:10.840 --> 0:52:13.520
<v Speaker 1>That's meant some big bucks for Sacks. I'm glad for

0:52:13.560 --> 0:52:15.719
<v Speaker 1>you to take a vacation because you're gonna buy a

0:52:15.800 --> 0:52:18.080
<v Speaker 1>lot of stuff to wear on that vacation. I'm glad

0:52:18.120 --> 0:52:20.520
<v Speaker 1>that you're going back to the theater. I'm glad that

0:52:20.560 --> 0:52:23.040
<v Speaker 1>you're meeting friends and going to weddings. This is all

0:52:23.080 --> 0:52:26.040
<v Speaker 1>good for SAX and for luxury. SAX CEO Mark Metrick

0:52:26.160 --> 0:52:37.719
<v Speaker 1>joins us. On the other side, this is Bloomberg. You're

0:52:37.760 --> 0:52:41.640
<v Speaker 1>listening to Bloomberg Business Week with Carol Messer and Bloomberg

0:52:41.719 --> 0:52:46.960
<v Speaker 1>Quick Takes. Tim Stinovich from Bloomberg Radio, coming off Amazon's

0:52:47.000 --> 0:52:48.920
<v Speaker 1>Prime Day or was it Days this week? Tim? Wasn't it?

0:52:49.160 --> 0:52:52.480
<v Speaker 1>It was Days? It's an event, Carol's shopping event. Stopping

0:52:52.520 --> 0:52:54.480
<v Speaker 1>is always an event, right, all right, Well, we figured

0:52:54.520 --> 0:52:56.600
<v Speaker 1>we'd finish up our broadcast with a little bit of

0:52:56.640 --> 0:52:59.719
<v Speaker 1>shopping and retail therapy, and we're talking about the high

0:52:59.840 --> 0:53:03.640
<v Speaker 1>end of the market in two very distinct areas, fashion

0:53:03.760 --> 0:53:07.600
<v Speaker 1>and personal transportation. First up, a Bloomberg Pursuits auto columnist

0:53:07.680 --> 0:53:11.040
<v Speaker 1>Hannah Elliott always gets to test out the coolest new rides,

0:53:11.080 --> 0:53:13.160
<v Speaker 1>and this week she only needs two wheels to bring

0:53:13.200 --> 0:53:15.800
<v Speaker 1>us up to speed on a series of electric motorcycles

0:53:15.800 --> 0:53:18.520
<v Speaker 1>that she says you need to know about. Electric means

0:53:18.600 --> 0:53:21.600
<v Speaker 1>even less maintenance on your on your bike. I mean

0:53:21.600 --> 0:53:23.120
<v Speaker 1>you don't have to change the oil, you don't have

0:53:23.160 --> 0:53:26.319
<v Speaker 1>to worry about fears, you just go. Um. Also, there

0:53:26.360 --> 0:53:28.759
<v Speaker 1>are a lot quieter I mean some people say it's

0:53:28.760 --> 0:53:31.200
<v Speaker 1>a safety hazard to have a quiet bike, but actually

0:53:31.480 --> 0:53:34.759
<v Speaker 1>you're more connected with nature. There's no sound, you're just

0:53:34.920 --> 0:53:37.400
<v Speaker 1>out in nature, which is awesome. And then of course

0:53:37.440 --> 0:53:41.640
<v Speaker 1>the efficiency thing. I mean, yes, motorcycles are very efficient already,

0:53:41.840 --> 0:53:43.640
<v Speaker 1>but of course if you didn't have to buy gas

0:53:43.640 --> 0:53:47.160
<v Speaker 1>at all, even better. Um, it's kind of a win win.

0:53:47.600 --> 0:53:49.920
<v Speaker 1>So is it a combination of the establishment as well

0:53:49.960 --> 0:53:53.240
<v Speaker 1>as startups that are really out there doing this? Hannah, Yeah,

0:53:53.280 --> 0:53:57.600
<v Speaker 1>that's a great, uh, great observation. We have Harley Davidson,

0:53:57.680 --> 0:54:01.080
<v Speaker 1>of course, which is probably the most well known motorcycle

0:54:01.120 --> 0:54:05.560
<v Speaker 1>company that is now developing electric motorcycles. Um, they've started

0:54:05.560 --> 0:54:07.720
<v Speaker 1>this new brand called live Wire, which is a separate

0:54:07.760 --> 0:54:11.480
<v Speaker 1>brand that's mostly owned by Harley Davidson, which makes right

0:54:11.480 --> 0:54:14.600
<v Speaker 1>now an electric motorcycle called the live Wire one that's

0:54:14.600 --> 0:54:17.839
<v Speaker 1>about a twenty three thousand dollar bike. UM that I've

0:54:17.840 --> 0:54:19.960
<v Speaker 1>written a couple of times, and I really like it.

0:54:19.960 --> 0:54:23.000
<v Speaker 1>It's not gonna feel like a hob, you know, with

0:54:23.160 --> 0:54:27.919
<v Speaker 1>the type. UM, but it does feel weighty, it does

0:54:28.080 --> 0:54:31.160
<v Speaker 1>feel very cool. It's fast, it's powerful, it looks kind

0:54:31.160 --> 0:54:33.960
<v Speaker 1>of like a Harley. And then you've got yeah, you've

0:54:33.960 --> 0:54:38.960
<v Speaker 1>got other things. BMW is developing electric uh motorcycles. Of course,

0:54:38.960 --> 0:54:42.680
<v Speaker 1>they've got electric scooters already on the market. UM. They've

0:54:42.719 --> 0:54:45.400
<v Speaker 1>teased us with a couple a couple of concepts for

0:54:45.520 --> 0:54:48.600
<v Speaker 1>electric motorcycles. We have yet to see that, but I

0:54:48.600 --> 0:54:51.600
<v Speaker 1>think it's coming. Um. And Kawasaki of course, has also

0:54:51.640 --> 0:54:54.359
<v Speaker 1>announced that they will be developing up to five new

0:54:54.480 --> 0:54:57.440
<v Speaker 1>electric motorcycle models in the coming years. All right, So

0:54:57.520 --> 0:54:59.760
<v Speaker 1>let's talk range and charge. What what are the stats

0:54:59.760 --> 0:55:03.520
<v Speaker 1>that we're seeing on some of these So, first of all,

0:55:03.560 --> 0:55:07.920
<v Speaker 1>the charging on electric motorcycles is awesome, where on electric

0:55:07.920 --> 0:55:10.080
<v Speaker 1>cars you might have to wait a couple hours, even

0:55:10.120 --> 0:55:12.720
<v Speaker 1>up to eight or ten hours to charge it. Electric

0:55:12.760 --> 0:55:17.840
<v Speaker 1>motorcycles can charge to about in forty minutes on fast chargers,

0:55:17.880 --> 0:55:19.920
<v Speaker 1>which is awesome. I mean that's like, you know, you

0:55:19.920 --> 0:55:22.439
<v Speaker 1>can get a coffee somewhere in forty minutes. UM. That's

0:55:22.440 --> 0:55:25.399
<v Speaker 1>about the going rate. And then for range, UM. One

0:55:25.440 --> 0:55:28.160
<v Speaker 1>that I really like is the Zero the motorcycles from

0:55:28.160 --> 0:55:31.040
<v Speaker 1>a company called Zero, which is a California company, and

0:55:31.120 --> 0:55:34.120
<v Speaker 1>they can go a hundred twenty miles or so and

0:55:34.239 --> 0:55:38.560
<v Speaker 1>combined riding UM city and highway. And that's a pretty

0:55:38.600 --> 0:55:41.680
<v Speaker 1>good range for an electric bike. UM. Some of the

0:55:41.920 --> 0:55:45.040
<v Speaker 1>smaller ones, like if we talk about electric vest Buzz,

0:55:45.360 --> 0:55:47.759
<v Speaker 1>they might only get around fifty or sixty miles of

0:55:47.880 --> 0:55:50.359
<v Speaker 1>riding on a charge. UM. But for the actual bike,

0:55:50.560 --> 0:55:53.360
<v Speaker 1>if you can expect around a hundred miles of range.

0:55:53.800 --> 0:55:55.719
<v Speaker 1>Some of the higher ones like Zero, like I said,

0:55:55.760 --> 0:55:59.000
<v Speaker 1>we'll get up to one one thirty UM, and you

0:55:59.040 --> 0:56:01.440
<v Speaker 1>know we have some for improvement. Are these things as

0:56:01.560 --> 0:56:06.440
<v Speaker 1>as quick as their car counterparts? Yes, it's they feel awesome.

0:56:06.520 --> 0:56:09.080
<v Speaker 1>It's it's the same as the car. It's instant towards

0:56:09.080 --> 0:56:11.440
<v Speaker 1>the minute you twist the I'm going to call it

0:56:11.480 --> 0:56:14.520
<v Speaker 1>the accelerator on the right side. The minute you twist

0:56:14.600 --> 0:56:17.799
<v Speaker 1>you go, you're instantly off the line. Um, there's no

0:56:17.920 --> 0:56:20.640
<v Speaker 1>waiting to put anything in gear because there are no gears,

0:56:20.760 --> 0:56:23.799
<v Speaker 1>which is kind of awesome. It feels very futuristic and fun.

0:56:24.160 --> 0:56:27.319
<v Speaker 1>That's Bloomberg Pursuits Autocolumn. This Tannah Elliott just the tip

0:56:27.360 --> 0:56:29.799
<v Speaker 1>of the iceberg on these new e bikes. Check out

0:56:29.800 --> 0:56:32.080
<v Speaker 1>her full piece online at Bloomberg dot com or on

0:56:32.120 --> 0:56:34.880
<v Speaker 1>the Bloomberg terminal. Go online because the pictures are pretty amazing.

0:56:34.880 --> 0:56:37.120
<v Speaker 1>I know this is radio, you're listening to our podcast,

0:56:37.160 --> 0:56:38.960
<v Speaker 1>but man it is. You got to see these bikes.

0:56:39.040 --> 0:56:42.560
<v Speaker 1>They're like futuristic. Like she said, they are quick. All right.

0:56:42.640 --> 0:56:44.759
<v Speaker 1>Right now, we're going to turn their attention from ev

0:56:44.920 --> 0:56:48.800
<v Speaker 1>motorcycles to luxury fashion. Mark Metric is the CEO of Sacks.

0:56:48.960 --> 0:56:51.640
<v Speaker 1>It's the digital spinoff of the popular department store and

0:56:51.800 --> 0:56:55.440
<v Speaker 1>upscale Shane. We're talking about Sax Fifth Avenue. The company's

0:56:55.480 --> 0:56:59.000
<v Speaker 1>new Luxury Pulse survey has some surprising findings on its

0:56:59.040 --> 0:57:01.480
<v Speaker 1>resilience in the face of inflation, as well as the

0:57:01.520 --> 0:57:04.040
<v Speaker 1>demographics driving the business. I'm just gonna put it out there.

0:57:04.080 --> 0:57:06.480
<v Speaker 1>Tim and his wife I think they're shopping. Yeah, but

0:57:06.920 --> 0:57:10.640
<v Speaker 1>I mean that sex is expensive. All right, here's what

0:57:10.719 --> 0:57:12.560
<v Speaker 1>he had to say. We feel very good about the

0:57:12.600 --> 0:57:15.880
<v Speaker 1>core luxury consumer, just both from how they're showing up

0:57:15.920 --> 0:57:18.720
<v Speaker 1>and how they're shopping, and and also they've indicated, you know,

0:57:18.840 --> 0:57:23.920
<v Speaker 1>seventy of respondence to the survey that I would categorize

0:57:23.960 --> 0:57:27.120
<v Speaker 1>in the in that core luxury consumer, uh said that

0:57:27.160 --> 0:57:29.960
<v Speaker 1>they will they would spend the same if not more

0:57:30.640 --> 0:57:32.560
<v Speaker 1>over the next three months in the prior three You're

0:57:32.560 --> 0:57:35.200
<v Speaker 1>talking about people, just so we can have these definitions

0:57:35.200 --> 0:57:37.480
<v Speaker 1>for our audience. These are people who have an income

0:57:37.480 --> 0:57:41.520
<v Speaker 1>of two dollars per year plus yes, okay, so not

0:57:41.680 --> 0:57:45.920
<v Speaker 1>so like a household income or an individual household. And

0:57:45.920 --> 0:57:48.560
<v Speaker 1>are they younger, older? What are they? I love knowing

0:57:48.560 --> 0:57:51.600
<v Speaker 1>the demos when it comes to retail. Well, it's about stage,

0:57:51.640 --> 0:57:54.440
<v Speaker 1>not age. These are people that are luxury consumers that

0:57:54.440 --> 0:57:58.680
<v Speaker 1>are they love fashion, they're aspirational their core Uh so

0:57:58.880 --> 0:58:00.840
<v Speaker 1>you know, they're they're it all over. But if you

0:58:01.000 --> 0:58:03.480
<v Speaker 1>if you really want to dig down and look at it,

0:58:03.800 --> 0:58:06.920
<v Speaker 1>you're actually seeing a little bit on the response side,

0:58:07.280 --> 0:58:10.720
<v Speaker 1>more positivity. And it's probably from a recency bias because

0:58:10.800 --> 0:58:15.200
<v Speaker 1>the younger uh consumer hasn't seen one of these moments before.

0:58:15.800 --> 0:58:18.760
<v Speaker 1>They're feeling a little bit more bullish than the boomers

0:58:18.840 --> 0:58:22.920
<v Speaker 1>or the silent uh so UM interesting, but again, the

0:58:23.040 --> 0:58:27.160
<v Speaker 1>overall response has been positive on on on what they're

0:58:27.160 --> 0:58:30.120
<v Speaker 1>thinking from a luxury standpod. So, from a luxury standpoint,

0:58:30.120 --> 0:58:33.160
<v Speaker 1>are they buying luxury clothes, luxury stuff for the house,

0:58:33.440 --> 0:58:39.160
<v Speaker 1>luxury you know, cosmetically what specifically luxury can cover a lot? Yeah,

0:58:39.240 --> 0:58:43.240
<v Speaker 1>So for us, it's really it's about it's about accessories

0:58:43.640 --> 0:58:46.720
<v Speaker 1>and apparel. Okay, that's where we center. Now. They're they're

0:58:46.840 --> 0:58:50.520
<v Speaker 1>they're still looking at home and and other UM and

0:58:50.600 --> 0:58:53.480
<v Speaker 1>other types of luxury products inside of their lifestyle. But

0:58:53.600 --> 0:58:57.800
<v Speaker 1>the core business for us UM is around that apparel

0:58:57.800 --> 0:59:00.840
<v Speaker 1>and and accessories and leather good what kind of luxury

0:59:00.840 --> 0:59:03.200
<v Speaker 1>apparel like is it? Have people moved away from all

0:59:03.240 --> 0:59:06.080
<v Speaker 1>of the comfy where you know and listen, I love

0:59:06.160 --> 0:59:08.480
<v Speaker 1>a great pair of yoga pants. They're not inexpensive, So

0:59:08.720 --> 0:59:12.080
<v Speaker 1>I consider that kind of luxury as well. But are

0:59:12.120 --> 0:59:15.560
<v Speaker 1>people trading up, They're going out, they're going to places,

0:59:15.560 --> 0:59:17.480
<v Speaker 1>and so you can see that it reflected in what

0:59:17.520 --> 0:59:20.600
<v Speaker 1>they're buying. Absolutely, and that's and you know what we're

0:59:20.600 --> 0:59:23.880
<v Speaker 1>seeing in in A great indicator of that is sneakers

0:59:23.920 --> 0:59:26.800
<v Speaker 1>became It's like you almost only wore sneakers for a while,

0:59:26.960 --> 0:59:29.840
<v Speaker 1>and now we're seeing shoes make a big comeback. Uh

0:59:29.880 --> 0:59:33.160
<v Speaker 1>and and that's been good. Guys are getting dressed up again. Um,

0:59:33.360 --> 0:59:36.040
<v Speaker 1>she you know she's getting dressed up. It's a dressy sandal.

0:59:36.080 --> 0:59:37.880
<v Speaker 1>It's not just a sandal, it's a shoe. It's not

0:59:37.960 --> 0:59:40.840
<v Speaker 1>a sneaker. There's a lot of hell coming back. Um.

0:59:40.920 --> 0:59:43.200
<v Speaker 1>Platform heels are going to be one of our biggest

0:59:43.200 --> 0:59:46.240
<v Speaker 1>trends as we come into the next couple of months.

0:59:46.680 --> 0:59:49.560
<v Speaker 1>So it is about getting dressed, it is about going out,

0:59:49.720 --> 0:59:52.200
<v Speaker 1>it's about traveling, and it's good for business. Can I

0:59:52.240 --> 0:59:54.120
<v Speaker 1>let's say I love me some platforms at the tim

0:59:54.160 --> 0:59:55.920
<v Speaker 1>I'm just gonna put that out there, Okay, I got

0:59:56.080 --> 0:59:57.800
<v Speaker 1>I got nothing to follow up on that, Carol. I

0:59:57.840 --> 1:00:02.040
<v Speaker 1>do want to mar I want to know about how

1:00:02.120 --> 1:00:04.640
<v Speaker 1>spending has shifted, because if I think about what we're

1:00:04.680 --> 1:00:06.280
<v Speaker 1>you know, what we've been talking about for the past

1:00:06.280 --> 1:00:08.800
<v Speaker 1>two plus years, the idea that people filled their homes

1:00:08.800 --> 1:00:10.280
<v Speaker 1>with stuff and then it got stuck on ships so

1:00:10.320 --> 1:00:12.440
<v Speaker 1>they couldn't do that then they started buying things as

1:00:12.440 --> 1:00:14.080
<v Speaker 1>they got back to the office. But but now it

1:00:14.080 --> 1:00:17.560
<v Speaker 1>seems like demand for vacations and experiences is back. This

1:00:17.600 --> 1:00:19.960
<v Speaker 1>idea of stuff we were talking about back in twenty nineteen,

1:00:20.080 --> 1:00:22.680
<v Speaker 1>especially when it comes to millennials spending their money on

1:00:22.680 --> 1:00:25.560
<v Speaker 1>on not on stuff, but on doing things. How did

1:00:25.560 --> 1:00:29.320
<v Speaker 1>that factor into your research? Yeah, so the research came

1:00:29.320 --> 1:00:33.200
<v Speaker 1>back and look, you know, when asked, uh, respondence number

1:00:33.200 --> 1:00:36.000
<v Speaker 1>one on their list is traveling leisure. And that's fine

1:00:36.040 --> 1:00:39.960
<v Speaker 1>because with luxury and again being a goat, so being

1:00:39.960 --> 1:00:41.960
<v Speaker 1>that go out and travel, I'm glad for you to

1:00:42.000 --> 1:00:44.840
<v Speaker 1>take a vacation, um, because you're gonna buy a lot

1:00:44.880 --> 1:00:47.120
<v Speaker 1>of stuff to wear on that vacation. I'm glad that

1:00:47.160 --> 1:00:49.640
<v Speaker 1>you're going back to the theater. I'm glad that you're

1:00:49.680 --> 1:00:52.480
<v Speaker 1>meeting friends and going to weddings. Uh. This is all

1:00:52.520 --> 1:00:55.280
<v Speaker 1>good for SAX and for luxury. So that's okay. But

1:00:55.640 --> 1:00:58.919
<v Speaker 1>right on the heels of that response again was leather

1:00:58.920 --> 1:01:02.439
<v Speaker 1>goods and necessaries right there behind that UM for this

1:01:02.600 --> 1:01:05.040
<v Speaker 1>you know, high end luxury consumer on where they and

1:01:05.080 --> 1:01:07.439
<v Speaker 1>how they want to be spending Mark help me out here,

1:01:07.520 --> 1:01:11.080
<v Speaker 1>because you know, when we talk retail and the consumer world.

1:01:11.120 --> 1:01:13.600
<v Speaker 1>We constantly talk about and we often have heads of

1:01:13.640 --> 1:01:16.840
<v Speaker 1>companies talk to us about this seamless omni channel experience.

1:01:17.160 --> 1:01:19.720
<v Speaker 1>So you guys are focusing on e commerce, how do

1:01:19.840 --> 1:01:21.360
<v Speaker 1>how do you guys do it? How do you make

1:01:21.360 --> 1:01:24.959
<v Speaker 1>sure that you're covering how the consumer wants to shop? Yeah,

1:01:25.000 --> 1:01:27.520
<v Speaker 1>you know and not We do focus on e commerce,

1:01:27.520 --> 1:01:30.520
<v Speaker 1>but we focus on the consumer. And that's really you know,

1:01:30.560 --> 1:01:32.480
<v Speaker 1>what we've been what we've done with this split is

1:01:32.560 --> 1:01:36.880
<v Speaker 1>just enabled um my company to focus on the digital experience,

1:01:36.920 --> 1:01:40.240
<v Speaker 1>but it's focusing on the brand experience. You know, first

1:01:40.240 --> 1:01:43.680
<v Speaker 1>and foremost. We haven't stopped with the omni channel connected

1:01:43.720 --> 1:01:46.920
<v Speaker 1>experience for our consumer. Our exclusive partnership with the s

1:01:46.960 --> 1:01:51.360
<v Speaker 1>f A stores enables us to execute, uh, this all

1:01:51.480 --> 1:01:55.480
<v Speaker 1>channel experience seamlessly. You can you know, the returns that

1:01:55.560 --> 1:01:57.760
<v Speaker 1>came in from sacks dot com went into the stores

1:01:58.400 --> 1:02:01.320
<v Speaker 1>just this past quarter. Uh, so you're still you can

1:02:01.360 --> 1:02:04.000
<v Speaker 1>buy online, it can ship from a store. So what

1:02:04.040 --> 1:02:07.200
<v Speaker 1>we've done is really just given ourselves the ability to

1:02:07.320 --> 1:02:12.000
<v Speaker 1>build two strategies, but those two strategies connect through the consumer.

1:02:12.080 --> 1:02:14.280
<v Speaker 1>Give us an update on the supply chain and give

1:02:14.360 --> 1:02:17.120
<v Speaker 1>us an idea of if you're able to stock shelves,

1:02:17.120 --> 1:02:19.600
<v Speaker 1>if you're able to actually get consumers what they want. Yeah,

1:02:19.680 --> 1:02:22.760
<v Speaker 1>the luxury supply chain, you know, probably on a relative basis,

1:02:23.080 --> 1:02:25.520
<v Speaker 1>hasn't been interrupted. I'm sure it's a little bit slower

1:02:25.520 --> 1:02:27.439
<v Speaker 1>than people wanted to be, but comparatively to what we'll

1:02:27.480 --> 1:02:30.320
<v Speaker 1>be hearing, we haven't had any issue with that. What's

1:02:30.360 --> 1:02:34.480
<v Speaker 1>the last thing you bought in a retail environment, you're

1:02:34.520 --> 1:02:39.440
<v Speaker 1>asking me? Yeah, I just bought a suit. How's that all? Right?

1:02:39.440 --> 1:02:42.880
<v Speaker 1>Back to work? You go? That sounds yeah? That isn't

1:02:42.920 --> 1:02:45.720
<v Speaker 1>like athleaser work at way? Is that? Is that? Is

1:02:45.760 --> 1:02:48.120
<v Speaker 1>that for Mark? For for hanging out or for working?

1:02:49.040 --> 1:02:51.200
<v Speaker 1>To be fair, it's a suit, but it's got draw

1:02:51.280 --> 1:02:53.640
<v Speaker 1>string pants. How about that? A suit with draw string pants.

1:02:53.640 --> 1:02:56.640
<v Speaker 1>I mean that sounds pretty nice, like luxury but casual,

1:02:56.720 --> 1:02:58.240
<v Speaker 1>and I could wear that to the office that he

1:02:58.360 --> 1:03:00.440
<v Speaker 1>was saying, comfy clothes. We're kind of going way. No,

1:03:00.960 --> 1:03:03.880
<v Speaker 1>this is like a mix of formal and comfy. Party

1:03:03.880 --> 1:03:06.000
<v Speaker 1>on party on the What is it like business on

1:03:06.080 --> 1:03:09.160
<v Speaker 1>top party? I don't know. All I know is stretch,

1:03:09.440 --> 1:03:12.240
<v Speaker 1>put stretch in everything. I'm down with that huge thanks

1:03:12.240 --> 1:03:14.959
<v Speaker 1>to Mark Metric. He's CEO at SAX, and that raps

1:03:15.000 --> 1:03:17.600
<v Speaker 1>up the weekend edition to Bloomberg Business Week from Bloomberg Radio.

1:03:17.680 --> 1:03:19.680
<v Speaker 1>Thank you so much for joining us. I'm Carol Masser

1:03:19.800 --> 1:03:21.880
<v Speaker 1>and I'm Tim Stanevik. Be sure to tune into Bloomberg

1:03:21.920 --> 1:03:24.040
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1:03:24.040 --> 1:03:26.400
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1:03:40.200 --> 1:03:42.680
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