WEBVTT - NYC Sues Delivery App Over Lost Pay in Mamdani Crackdown 

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<v Speaker 2>Of course, it is now only fifteen days into the

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<v Speaker 2>New York City Mayor Zoramum Donnie's tenure, and he is.

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<v Speaker 3>Making moves already. Alex, do you live in the city.

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<v Speaker 4>I do.

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<v Speaker 5>I'm a lifelong New Yorker.

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<v Speaker 2>You're a lifelong New Yorker, so you feel it more

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<v Speaker 2>than I do. I live in the suburbs along with

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<v Speaker 2>John Tuckers.

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<v Speaker 3>So did you get your free bus service?

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<v Speaker 5>Yeah? Not yet, still waiting for.

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<v Speaker 3>You, Still waiting a free child here take the bus.

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<v Speaker 5>That often usually the train, so I don't think it'll

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<v Speaker 5>direct they impact me.

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<v Speaker 3>Okay, but still waiting, still waiting. Let's check in with

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<v Speaker 3>Miles Miller.

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<v Speaker 2>He is our senior reporter covering security the National Desk,

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<v Speaker 2>law enforcement, governments and cities. And it's here where we

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<v Speaker 2>want to talk to him, because Miles is joining us

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<v Speaker 2>from downtown Manhattan. And Miles talk to us a little

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<v Speaker 2>bit about what the new mayor, Zoramumdani is doing when

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<v Speaker 2>it comes to work. He is cracking down on some

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<v Speaker 2>companies and how they're treating workers.

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<v Speaker 6>Yeah, you know, he's enlisted Lena Kahn as an advisor

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<v Speaker 6>unpaid advisor to him, of course, known to the Bloomberg

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<v Speaker 6>audience as the former FTC chair. In addition to that,

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<v Speaker 6>Julie Sue who joined us on our fabulous Labor Fridays

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<v Speaker 6>right the fridays where we get the jobs report. And

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<v Speaker 6>then in addition to that Sam Levine, who was at

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<v Speaker 6>the FTC running enforcement. That's his dream team. And what

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<v Speaker 6>they're doing is going after companies that are involved in delivery,

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<v Speaker 6>that are involved in the gig economy to make sure

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<v Speaker 6>that workers are protected. The story across the Bloomberg terminal

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<v Speaker 6>just about twenty minutes ago is one that really they're

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<v Speaker 6>suing food delivery providers for what they say is withholding

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<v Speaker 6>pay from workers. And it really gets to the heart

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<v Speaker 6>of what the Mammdani administration is going to be about,

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<v Speaker 6>using little known laws to go after big companies to

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<v Speaker 6>fight for who they say is the little guy. The

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<v Speaker 6>company that is being sued today is Motoclick, and the

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<v Speaker 6>allegations are pretty simple that they violated delivery worker laws

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<v Speaker 6>by failing to pay the required minimum rate and deducting

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<v Speaker 6>canceled and refunded orders directly from their paychecks. And these

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<v Speaker 6>are folks who most times are only making you know,

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<v Speaker 6>money off of the tips that they're getting from these

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<v Speaker 6>people who are ordering food.

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<v Speaker 2>What you mentioned, the company that is in question here

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<v Speaker 2>is Motoclick. This is not a company that I think

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<v Speaker 2>a lot of people are necessarily familiar with. We don't

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<v Speaker 2>if you order from DoorDash or a grubhub, you don't

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<v Speaker 2>necessarily have a direct interaction with motoclick, do you.

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<v Speaker 4>Right?

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<v Speaker 6>You know, this is what of those companies that says

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<v Speaker 6>it works with platforms like Uber Eats, door Dash and

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<v Speaker 6>grub hub. You know, you may value order through these companies,

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<v Speaker 6>and then you don't know that the folks who are

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<v Speaker 6>coming to deliver it are actually working with this. You know,

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<v Speaker 6>in some cases last mile company, they are basically integrated

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<v Speaker 6>into the point of sale systems at some of these restaurants.

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<v Speaker 6>And so yeah, you may order from Uber lyft, but

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<v Speaker 6>you don't know that I was sorry, Uber or doordasher, grubhub,

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<v Speaker 6>But you don't understand, you know, in that last mile

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<v Speaker 6>where it's coming from. Well, the city is putting them

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<v Speaker 6>unnotice that, you know that they're going to be sued

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<v Speaker 6>for this. And then in addition to that, the city

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<v Speaker 6>pass laws in the last year or so that protects

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<v Speaker 6>these workers. In addition to this lawsuit, they're also putting

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<v Speaker 6>the delivery companies on notice that there are specific laws

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<v Speaker 6>that protect workers as it relates to deliveries, making sure

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<v Speaker 6>that they get proper wages, minimum wage and all of that.

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<v Speaker 6>And if that's not followed, that they could meet the

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<v Speaker 6>same fate that's being met by motorclick right now miles.

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<v Speaker 5>This of course follows the allegations that DoorDash and Uber

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<v Speaker 5>deprived New York City delivery workers of more than five

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<v Speaker 5>hundred and fifty million dollars in tips. That is a

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<v Speaker 5>lot of money. Is there a sense if this lawsuit

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<v Speaker 5>is successful that they might see those wages come back.

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<v Speaker 7>Yeah.

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<v Speaker 6>I think what the city wants to do, and specifically

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<v Speaker 6>the the Department of Consumer and Worker Protection wants to do,

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<v Speaker 6>is in filing any of these lawsuits or in making

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<v Speaker 6>these claims public, is to put pressure on these companies

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<v Speaker 6>to do the right thing before they get to the

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<v Speaker 6>enforcement level. We've seen a lot of these companies that

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<v Speaker 6>have been sued in the past, whether into the Blasio administration,

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<v Speaker 6>whether being sued by the Controller's office, come to an

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<v Speaker 6>agreement on a settlement, and that money does trickle down

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<v Speaker 6>back to workers. But it doesn't stop with just the

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<v Speaker 6>city Hall and doesn't stop with the Comptroller's office. You know,

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<v Speaker 6>just today the Manhattan DA also you know, trying to

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<v Speaker 6>make it clear that he wants protections for these workers

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<v Speaker 6>because these are you know, these wage cases continue to

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<v Speaker 6>pop up. It was just about a year and a

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<v Speaker 6>half ago, two years ago that Grimaldi's Pizza was being

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<v Speaker 6>accused of of wage theft and holding back pay pay

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<v Speaker 6>for these low paid workers. And that's going to be

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<v Speaker 6>a major focus of this administration.

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<v Speaker 2>So can you reconcile this this first action, it's kind

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<v Speaker 2>of like a shot across about by the mum donnie

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<v Speaker 2>administration with the promises it had made to its supporters,

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<v Speaker 2>to voters, to folks in the city, like alex Hemanova,

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<v Speaker 2>who's a lifelong New Yorker, is this is this kind

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<v Speaker 2>of the what they promised to prioritize.

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<v Speaker 6>Yeah, I mean, you know, they have changed the role

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<v Speaker 6>that Julie Sue is in. It used to be the

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<v Speaker 6>mayor for a deputy mayor for economic development. But it's

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<v Speaker 6>not just economic development, it's it's really with a focus

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<v Speaker 6>on worker protection. It's really on a focus on equality

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<v Speaker 6>and rights for people. And you know, this is a

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<v Speaker 6>person who has spent a good amount of time in Washington,

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<v Speaker 6>had spent time in California, who is going to be

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<v Speaker 6>leading this effort. You know, when you look at Lena

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<v Speaker 6>Khan being involved in decision making here at city Hall

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<v Speaker 6>and going and doing what she knows best right and

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<v Speaker 6>going through you know, very complex parts of the city

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<v Speaker 6>Charter to find where you can really stick it to

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<v Speaker 6>companies or where they could stick it to companies, you know,

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<v Speaker 6>it really shows that this is a top priority for him.

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<v Speaker 6>You know, and in addition to that, this role, the

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<v Speaker 6>role in consumer protection was one of the first roles

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<v Speaker 6>he filled after being being elected and right before take

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<v Speaker 6>it or right after he took office, because he knew

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<v Speaker 6>it was going to be something that people really relate to.

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<v Speaker 5>Miles, when was the last time that we saw a

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<v Speaker 5>New York City mayor go after big companies like this?

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<v Speaker 5>Is this unusual.

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<v Speaker 6>No, I mean in the Basio administration, we saw companies targeted,

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<v Speaker 6>certainly UH. And then you know, in the Atoms administration,

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<v Speaker 6>it was certainly a very pro business administration trying to

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<v Speaker 6>work with business, but also sort of the bonus on

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<v Speaker 6>businesses to.

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<v Speaker 4>UH.

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<v Speaker 6>And so it's it's a this is obviously a different tactic,

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<v Speaker 6>and I think for the first time you're seeing UH

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<v Speaker 6>an administration where they're not taking people really from big

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<v Speaker 6>business and saying, Okay, here's how you can work on

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<v Speaker 6>economic development. In the Vasio administration, Lesha Glenn was the

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<v Speaker 6>Deputy Mayor for economic Development and had come from the

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<v Speaker 6>business community. No, these are people who've worked in government

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<v Speaker 6>for some time and are trying to figure out a

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<v Speaker 6>way to make government work for people who you know,

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<v Speaker 6>don't have much money, or to hit at the affordability crisis.

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<v Speaker 6>It's a it's really a first of its kind approach

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<v Speaker 6>to doing this kind of work.

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<v Speaker 2>Stay with us more from Bloomberg Intelligence coming up after this.

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<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

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<v Speaker 1>weekdays at ten am. He's done on Apple, Cocklay and

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<v Speaker 1>Android Auto with the Bloomberg Business app.

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<v Speaker 3>Listen on demand.

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<v Speaker 1>Wherever you get your podcasts or watch us live on YouTube.

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<v Speaker 2>Let's move over to the tech sector because there's some

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<v Speaker 2>big news for the AI sector given that Taiwan Semiconductor

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<v Speaker 2>Manufacturing and partner of Nvidia and other chip makers, came

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<v Speaker 2>out with a monster forecast. Man Deep saying is our

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<v Speaker 2>global tech research had apt Bloomberg Intelligence and he joins

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<v Speaker 2>US now and TSMC is a bellweather for the AI story,

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<v Speaker 2>and the revenue forecast it has given is growth of

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<v Speaker 2>almost thirty percent, handily beating analystsessimates.

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<v Speaker 4>Well, I mean, right now, we are in an environment

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<v Speaker 4>where the supply constraints are at the component level, at

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<v Speaker 4>the fab level, I mean TSMC doubt how advanced nodes

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<v Speaker 4>are almost seventy seven percent of their revenue. So that

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<v Speaker 4>just goes to show that if they have more wayfor

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<v Speaker 4>capacity at the advanced node level, they'll probably be you know,

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<v Speaker 4>growing even faster. And that's why they raise their own capex.

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<v Speaker 4>So think of the trickle down effect. Hyperscalers are raising

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<v Speaker 4>their capex. TSMC, being the fab layer, is raising their capex.

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<v Speaker 4>And this is the entire supply chain that everyone realizes

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<v Speaker 4>they need more data center capacity when it comes to

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<v Speaker 4>running AI and all the way through the supply chain.

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<v Speaker 4>Right now, it's trickling down now. The question is obviously

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<v Speaker 4>of overbuild and if and when, you know, we'll hit

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<v Speaker 4>an equilibrium. And from what we have seen in terms

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<v Speaker 4>of partnerships and deal making like open Ai Cerebris, I

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<v Speaker 4>mean right now, they're trying to procure as much chip

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<v Speaker 4>capacity as they can because I mean Opening has said

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<v Speaker 4>their revenue growth is a function of the power and

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<v Speaker 4>chip available computer availability they have, so right last year

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<v Speaker 4>they grew their power and computer availability three x, their

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<v Speaker 4>revenue grew three x. So that's the kind of part

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<v Speaker 4>of the cycle we are in. And the question is

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<v Speaker 4>you know how long it's going to sustain and so

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<v Speaker 4>so far as signs are, this is going to carry

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<v Speaker 4>through at least through twenty twenty six.

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<v Speaker 5>Mandy, what does the strong outlook from TSMC mean for

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<v Speaker 5>Intel and its foundry business. Intel is up some thirty

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<v Speaker 5>percent this year. Is it a positive sign for them

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<v Speaker 5>that demand is there or signed that TSMC is a

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<v Speaker 5>dominant name here.

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<v Speaker 4>Actually, there was some demand spill over to an Intel

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<v Speaker 4>and Samsung, especially on the non data center side. So

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<v Speaker 4>I mentioned TSMC is heavily skewed towards advanced notes and

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<v Speaker 4>more towards data centers. Well, there is demand for you know,

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<v Speaker 4>chip capacity on the PC side, smartphone side, and that's

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<v Speaker 4>where there is some spillover that's carrying over to an

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<v Speaker 4>Intel on the PC side, to Samsung as well. And

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<v Speaker 4>so right now, everyone seems to be benefiting from overall

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<v Speaker 4>chip demand across the board.

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<v Speaker 2>Right and something else that's in demand is memory. And

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<v Speaker 2>we've seen Micron, we've seen sand Disk, we've seen Western

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<v Speaker 2>Digital really benefit from that demand for memory chips. But

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<v Speaker 2>it also there's a downside to that because you have

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<v Speaker 2>hardware companies as a result under pressure because they need

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<v Speaker 2>to pay for that memory and they need to go

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<v Speaker 2>out and source it and it's not always available unless you.

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<v Speaker 4>Are Jensen and Nvidia, who has really managed the supply chain. Well,

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<v Speaker 4>I mean, I was amazed how Nvidia mentioned that they

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<v Speaker 4>still feel comfortable holding on to that mid seventy percent

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<v Speaker 4>ross margins. They're one of the biggest users of HBM memory.

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<v Speaker 4>That is a supply constrained right now, and the prices

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<v Speaker 4>are going through the roof, but they have logged in

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<v Speaker 4>those multi year agreements where these suppliers can really raise prices,

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<v Speaker 4>and so from that perspective, the bigger you are, if

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<v Speaker 4>you're an Apple, I'm sure they can source their memory.

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<v Speaker 4>They may have to pay higher prices and it will

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<v Speaker 4>impact their gross margins, but not to the same extent

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<v Speaker 4>it's going to hit a smaller hardware vender. And that's

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<v Speaker 4>what I think we'll find out this earning season.

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<v Speaker 5>Man Deep also looking at the story today about Oracle

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<v Speaker 5>struggling to hire workout workers for the buildout of its

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<v Speaker 5>headquarters in Nashville. What has this AI build out meant

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<v Speaker 5>for hiring the talent war? Is there anyone who's winning it?

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<v Speaker 4>Yeah, I mean we read the story on the terminal

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<v Speaker 4>about electricians, you know, having almost a doubling off their pay,

0:12:42.320 --> 0:12:45.960
<v Speaker 4>and so anyone who is linked to that data center

0:12:46.080 --> 0:12:49.840
<v Speaker 4>construction right now is in high demand. And so it

0:12:49.880 --> 0:12:53.960
<v Speaker 4>doesn't surprise me that you are sort of in this

0:12:54.120 --> 0:12:58.319
<v Speaker 4>environment where laborers in short supply, you know, components are

0:12:58.320 --> 0:13:01.800
<v Speaker 4>in short supply, and putting all these things together is

0:13:01.840 --> 0:13:06.640
<v Speaker 4>taking longer time because everyone wants them to be ready overnight. Well,

0:13:07.480 --> 0:13:09.920
<v Speaker 4>that's where you're running into these bottom lines.

0:13:10.040 --> 0:13:12.920
<v Speaker 2>Well too, Alex's point, Oracle is trying to attract workers

0:13:12.920 --> 0:13:16.920
<v Speaker 2>in Nashville where it's developing this riverfront headquarters. Is that

0:13:16.960 --> 0:13:18.840
<v Speaker 2>a place where the tech talent will flock to.

0:13:19.600 --> 0:13:22.360
<v Speaker 4>I mean, we've seen what has happened in Texas right

0:13:22.480 --> 0:13:26.640
<v Speaker 4>in terms of companies going to Texas just because it's

0:13:26.840 --> 0:13:29.480
<v Speaker 4>easier to set up data centers over there.

0:13:29.679 --> 0:13:31.559
<v Speaker 3>So oh and no income tax.

0:13:31.520 --> 0:13:36.200
<v Speaker 4>No income tax, that's right. So all these pockets I

0:13:36.240 --> 0:13:39.800
<v Speaker 4>think are having their moment in terms of one attracting

0:13:40.280 --> 0:13:43.320
<v Speaker 4>these big companies. And if you have power, and I

0:13:43.400 --> 0:13:46.880
<v Speaker 4>haven't studied Nashville in that detail, but if you have power,

0:13:47.200 --> 0:13:50.400
<v Speaker 4>then it suddenly becomes a very attractive destination.

0:13:51.800 --> 0:13:54.640
<v Speaker 2>Stay with us. More from Bloomberg Intelligence coming up after this.

0:13:58.440 --> 0:14:01.800
<v Speaker 1>You're listening to the Bloomberg and Helogen's podcast. Catch us

0:14:01.880 --> 0:14:04.800
<v Speaker 1>Live weekdays at ten am. He's done on Apple, Cocklay

0:14:04.800 --> 0:14:07.760
<v Speaker 1>and Android Auto with the Bloomberg Business App. Listen on

0:14:07.840 --> 0:14:11.120
<v Speaker 1>demand wherever you get your podcasts, or watch us live

0:14:11.160 --> 0:14:11.800
<v Speaker 1>on YouTube.

0:14:12.640 --> 0:14:15.360
<v Speaker 2>One of the tailwinds for the market heading into this

0:14:15.440 --> 0:14:18.320
<v Speaker 2>year was the expectation of a spate of deal making,

0:14:18.440 --> 0:14:21.720
<v Speaker 2>and to that point, we did learn today that Boston

0:14:21.760 --> 0:14:25.000
<v Speaker 2>Scientific is looking to buy p Number for about fourteen

0:14:25.080 --> 0:14:27.920
<v Speaker 2>and a half billion dollars. Obviously, with the big banks

0:14:28.000 --> 0:14:32.120
<v Speaker 2>reporting earnings, bank executives are also making comments. David Solomon,

0:14:32.200 --> 0:14:34.160
<v Speaker 2>the CEO of Goldman Sachs, says that we are not

0:14:34.320 --> 0:14:36.160
<v Speaker 2>yet in the middle of a full on M and

0:14:36.240 --> 0:14:38.960
<v Speaker 2>A cycle, and he sees a very very good year

0:14:39.040 --> 0:14:41.720
<v Speaker 2>for M and A overall. Let's bring in Jennifer Ree,

0:14:41.760 --> 0:14:44.640
<v Speaker 2>she is our senior litigation analyst for Bloomberg Intelligence, to

0:14:44.680 --> 0:14:47.880
<v Speaker 2>talk to us about the antitrust landscape. Is there an

0:14:47.960 --> 0:14:52.360
<v Speaker 2>active antitrust monitoring happening right now because this administration has

0:14:52.400 --> 0:14:55.240
<v Speaker 2>signaled that it wants to see deals being made.

0:14:55.520 --> 0:14:55.760
<v Speaker 4>Yeah.

0:14:55.800 --> 0:14:58.120
<v Speaker 7>Absolutely, and it certainly is a big change from the

0:14:58.120 --> 0:15:01.200
<v Speaker 7>Biden administration, where we kind of had the opposite sentiment.

0:15:01.360 --> 0:15:04.120
<v Speaker 7>I mean, we are really seeing very little activity from

0:15:04.120 --> 0:15:06.040
<v Speaker 7>the Department of Justice, a little bit more from the

0:15:06.040 --> 0:15:08.760
<v Speaker 7>Federal Trade Commission, but even in their case, it's been

0:15:08.800 --> 0:15:12.760
<v Speaker 7>pretty restrained. And it seems that both authorities are really

0:15:12.800 --> 0:15:15.160
<v Speaker 7>willing to work with the companies if they think that

0:15:15.160 --> 0:15:17.120
<v Speaker 7>there's a problem with the deal, to work out some

0:15:17.240 --> 0:15:19.440
<v Speaker 7>kind of settlement. And that's what didn't exist during the

0:15:19.440 --> 0:15:22.680
<v Speaker 7>Biden administration and why deal making was so stymied At

0:15:22.680 --> 0:15:25.920
<v Speaker 7>that time, and I think most companies see if we

0:15:25.960 --> 0:15:27.800
<v Speaker 7>can come up if we have a problem, A lot

0:15:27.800 --> 0:15:29.760
<v Speaker 7>of deals don't. But if we do and we can

0:15:29.760 --> 0:15:31.920
<v Speaker 7>come up with a solution, we can probably get it cleared.

0:15:33.080 --> 0:15:36.080
<v Speaker 5>Jen you mentioned muted activity from the regulators, but are

0:15:36.120 --> 0:15:39.400
<v Speaker 5>there any industries that they're targeting right now more than others.

0:15:39.520 --> 0:15:40.520
<v Speaker 3>Well, it looks like it.

0:15:40.520 --> 0:15:43.200
<v Speaker 7>It's interesting that we see Boston Scientific has a deal

0:15:43.280 --> 0:15:46.080
<v Speaker 7>because of the few challenges that have been brought to

0:15:46.160 --> 0:15:48.680
<v Speaker 7>deals by the FTC, they've been in the healthcare space,

0:15:49.000 --> 0:15:52.520
<v Speaker 7>one in the housing area construction adhesives, which is a

0:15:52.520 --> 0:15:55.520
<v Speaker 7>recent case they filed, but two in the healthcare space.

0:15:56.680 --> 0:15:59.280
<v Speaker 7>And it doesn't surprise me really because these are very

0:15:59.280 --> 0:16:03.400
<v Speaker 7>sensitive sector's, consumer facing sectors, and that does align with

0:16:03.920 --> 0:16:06.680
<v Speaker 7>essentially a populist agenda, which they talked about in the

0:16:06.680 --> 0:16:09.240
<v Speaker 7>beginning when they took on their positions, and so I

0:16:09.280 --> 0:16:12.640
<v Speaker 7>think we'll probably see if we see continued activity in

0:16:12.680 --> 0:16:15.560
<v Speaker 7>those areas or other very sensitive consumer areas.

0:16:16.560 --> 0:16:18.080
<v Speaker 2>The other thing that we need to keep in mind

0:16:18.120 --> 0:16:19.960
<v Speaker 2>is most of these companies that we're talking about are

0:16:19.960 --> 0:16:23.040
<v Speaker 2>big multinationals. They operate all around the world, so you

0:16:23.040 --> 0:16:25.520
<v Speaker 2>have US regulators and they may be stepping back and

0:16:25.640 --> 0:16:28.760
<v Speaker 2>letting things happen, but regulators in Europe may not be.

0:16:28.880 --> 0:16:32.800
<v Speaker 2>And I bring this up because we heard reports yesterday

0:16:32.880 --> 0:16:36.440
<v Speaker 2>that Paramount and Netflix have been meeting with European Commission

0:16:36.680 --> 0:16:40.640
<v Speaker 2>officials as part of their bid for Warner Brothers. What

0:16:41.080 --> 0:16:44.560
<v Speaker 2>can pare contrast, for instance, the European Commission regulators with

0:16:44.680 --> 0:16:45.440
<v Speaker 2>those in the US.

0:16:46.360 --> 0:16:48.320
<v Speaker 7>You know, there's been a little bit of a pullback.

0:16:48.520 --> 0:16:51.760
<v Speaker 7>I think when I think of really big regulators in antitrust,

0:16:51.800 --> 0:16:55.480
<v Speaker 7>I think of US, China, UK and Europe. These are

0:16:55.480 --> 0:16:58.080
<v Speaker 7>the jurisdictions which would be willing to actually block.

0:16:57.880 --> 0:16:58.680
<v Speaker 3>A global deal.

0:16:59.400 --> 0:17:01.680
<v Speaker 7>And we've seen a little bit of pullback across the board,

0:17:01.720 --> 0:17:04.159
<v Speaker 7>and not so much with China. It's really just a

0:17:04.200 --> 0:17:06.280
<v Speaker 7>black box there. I can't speak to what they're doing.

0:17:06.280 --> 0:17:09.040
<v Speaker 7>But in the UK and in Europe there has also

0:17:09.080 --> 0:17:11.720
<v Speaker 7>been a bit of a pullback, especially in the UK

0:17:12.000 --> 0:17:15.240
<v Speaker 7>after they kind of got really chided from Microsoft Activision

0:17:15.240 --> 0:17:18.600
<v Speaker 7>and trying to step in there. The thing is, for

0:17:18.720 --> 0:17:21.200
<v Speaker 7>companies doing a deal that might have scrutiny in Europe,

0:17:21.240 --> 0:17:23.960
<v Speaker 7>it's a bit scarier than in the US because they

0:17:23.960 --> 0:17:26.520
<v Speaker 7>have the ability under their law to actually block a deal,

0:17:26.960 --> 0:17:29.720
<v Speaker 7>whereas the US regulators don't. They have to go to

0:17:29.760 --> 0:17:31.840
<v Speaker 7>court and they have to win in court in order

0:17:31.880 --> 0:17:34.320
<v Speaker 7>to actually block a deal. It is far more difficult

0:17:34.320 --> 0:17:36.960
<v Speaker 7>for them. It is easier in the EU. And Netflix,

0:17:37.000 --> 0:17:39.040
<v Speaker 7>by the way, is gigantic. I didn't know this until

0:17:39.080 --> 0:17:41.520
<v Speaker 7>I started looking at the deal, but it's really really.

0:17:41.280 --> 0:17:42.359
<v Speaker 3>Big outside the US.

0:17:42.840 --> 0:17:46.080
<v Speaker 7>An HBO is getting bigger in many of the countries

0:17:46.080 --> 0:17:48.960
<v Speaker 7>in Europe. It's recently expanded in Italy, in a seven

0:17:49.000 --> 0:17:49.880
<v Speaker 7>or eight other countries.

0:17:50.119 --> 0:17:53.400
<v Speaker 3>So they will that deal. I think no matter which.

0:17:53.160 --> 0:17:56.000
<v Speaker 7>Company ends up buying, Warner Brothers is going to get

0:17:56.000 --> 0:17:59.239
<v Speaker 7>a lot of scrutiny, and certainly scrutiny in EU, and

0:17:59.280 --> 0:18:01.320
<v Speaker 7>that is going to be one area where they're going

0:18:01.359 --> 0:18:02.800
<v Speaker 7>to have to work, I think, to get clearance.

0:18:03.400 --> 0:18:05.280
<v Speaker 5>Jen The past couple of years saw a lot of

0:18:05.400 --> 0:18:09.040
<v Speaker 5>high profile antitrust cases, specifically within big tech. We had

0:18:09.119 --> 0:18:12.359
<v Speaker 5>rulings against Google and Meta. What kind of precedent have

0:18:12.480 --> 0:18:15.760
<v Speaker 5>they set for big tech regulation in twenty twenty six.

0:18:16.000 --> 0:18:18.280
<v Speaker 7>Well, what they're showing is that it's going to be very,

0:18:18.359 --> 0:18:21.360
<v Speaker 7>very difficult for US and anti trust agencies to actually

0:18:21.560 --> 0:18:24.760
<v Speaker 7>tame what they view as monopolistic conduct. I mean, they

0:18:25.080 --> 0:18:29.480
<v Speaker 7>did win technically against Google with respect to monopolizing search,

0:18:29.760 --> 0:18:33.159
<v Speaker 7>but the remedy was fairly weak. They didn't get what

0:18:33.200 --> 0:18:35.920
<v Speaker 7>they were looking for. Look at what Google's doing now

0:18:35.960 --> 0:18:40.359
<v Speaker 7>with AI with Apple, which is exactly what the plaintiffs

0:18:40.359 --> 0:18:43.720
<v Speaker 7>were trying to avoid, you know, dominance in AI after

0:18:43.800 --> 0:18:44.760
<v Speaker 7>dominance in search.

0:18:46.000 --> 0:18:48.480
<v Speaker 3>So the difficulty they have is even.

0:18:48.280 --> 0:18:50.680
<v Speaker 7>Where they win on liability, they have a really tough

0:18:50.720 --> 0:18:53.720
<v Speaker 7>time with remedies. Most US federal judges are going to

0:18:53.760 --> 0:18:56.360
<v Speaker 7>be very cautious when it comes to meddling in business

0:18:56.600 --> 0:18:59.240
<v Speaker 7>and the way a sector may develop, especially in technology,

0:18:59.240 --> 0:19:01.960
<v Speaker 7>because it's so changing and nobody knows where it's going.

0:19:02.520 --> 0:19:05.520
<v Speaker 7>So when you have these cautious judges, you're just not

0:19:05.600 --> 0:19:08.560
<v Speaker 7>going to get the drastic remedies that are probably the

0:19:08.600 --> 0:19:11.840
<v Speaker 7>remedies that are needed to really do something about the

0:19:11.880 --> 0:19:14.680
<v Speaker 7>market positions of some of these companies. So we're seeing

0:19:14.680 --> 0:19:16.840
<v Speaker 7>that it's going to be difficult, but we haven't seen

0:19:16.880 --> 0:19:19.000
<v Speaker 7>as much of a let up on the cases that

0:19:19.040 --> 0:19:23.280
<v Speaker 7>were inherited from the Biden administration. This DOJ and FTC

0:19:23.400 --> 0:19:25.840
<v Speaker 7>are continuing to go after these cases in court. They're

0:19:25.880 --> 0:19:28.200
<v Speaker 7>continuing to pursue what you might think of as a

0:19:28.280 --> 0:19:31.840
<v Speaker 7>drastic remedy a structural remedy. The next test will be

0:19:31.840 --> 0:19:34.919
<v Speaker 7>Live Nation, which is going to trial March second against

0:19:34.920 --> 0:19:36.320
<v Speaker 7>the DOJ and some states.

0:19:36.760 --> 0:19:38.560
<v Speaker 2>Okay, so we'll watch for them. Then it's a bit

0:19:38.600 --> 0:19:42.800
<v Speaker 2>of leftover from the previous administration. We talk about regulators,

0:19:43.080 --> 0:19:46.359
<v Speaker 2>and that's usually how the antitrust enforcement shows up, or

0:19:46.400 --> 0:19:49.480
<v Speaker 2>any kind of pushback from government authorities.

0:19:49.480 --> 0:19:51.280
<v Speaker 3>But there's also the role of President.

0:19:50.880 --> 0:19:54.439
<v Speaker 2>Trump as well, and he's made clear that because he

0:19:54.880 --> 0:19:57.879
<v Speaker 2>has some firm opinions about certain companies and certain sectors,

0:19:57.920 --> 0:20:00.439
<v Speaker 2>that he's going to be what he says personally in

0:20:00.480 --> 0:20:00.880
<v Speaker 2>some of them.

0:20:00.920 --> 0:20:01.360
<v Speaker 3>That's right.

0:20:01.520 --> 0:20:03.399
<v Speaker 2>Is there a playbook for this? I mean, how do

0:20:03.840 --> 0:20:07.160
<v Speaker 2>regulators work in concert with a mercurial president?

0:20:07.680 --> 0:20:08.920
<v Speaker 3>You know, there really.

0:20:08.720 --> 0:20:11.600
<v Speaker 7>Isn't a playbook. This is somewhat unprecedented. Now there are

0:20:11.600 --> 0:20:13.720
<v Speaker 7>many that would argue that this kind of started during

0:20:13.720 --> 0:20:18.040
<v Speaker 7>the Biden administration, but we have authorities at the Federal

0:20:18.040 --> 0:20:20.280
<v Speaker 7>Trade Commission and Department of Justice that are very much

0:20:20.320 --> 0:20:22.520
<v Speaker 7>trying to align what they're doing in the anti trust

0:20:22.560 --> 0:20:25.760
<v Speaker 7>space with the policy priorities of this administration, I think

0:20:25.840 --> 0:20:28.520
<v Speaker 7>much more so than in the past. And they just

0:20:28.600 --> 0:20:31.560
<v Speaker 7>don't look like they'd be willing to buck the White

0:20:31.600 --> 0:20:36.320
<v Speaker 7>House if the White House has some feel or some something,

0:20:36.440 --> 0:20:39.800
<v Speaker 7>you know, an issue with the deal. Right, So we're

0:20:39.800 --> 0:20:42.879
<v Speaker 7>seeing a lot of alignment, and we're also seeing a

0:20:42.920 --> 0:20:45.880
<v Speaker 7>lot of reemptive alignment. It's preemptive alignment. And we're seeing

0:20:45.880 --> 0:20:48.520
<v Speaker 7>a lot of lobbying which we hadn't seen before too

0:20:48.600 --> 0:20:51.719
<v Speaker 7>in the overruling of the Anti Trust Division by senior

0:20:51.760 --> 0:20:55.280
<v Speaker 7>officials who are talking to lobbyists. And so there is

0:20:55.320 --> 0:20:57.359
<v Speaker 7>a lot of concern right now in the anti trust

0:20:57.359 --> 0:21:00.960
<v Speaker 7>community about the rule of lobbying really prevailing over the

0:21:01.040 --> 0:21:03.560
<v Speaker 7>rule of law when it comes to merger enforcement.

0:21:04.080 --> 0:21:05.920
<v Speaker 2>And this is stuff that we see after the fact,

0:21:06.320 --> 0:21:09.040
<v Speaker 2>after an announcement has made, as opposed to during it.

0:21:09.119 --> 0:21:09.560
<v Speaker 4>That's right.

0:21:09.600 --> 0:21:11.720
<v Speaker 7>We see reports and of course I'm not privy to

0:21:11.880 --> 0:21:14.239
<v Speaker 7>what's going on behind closed doors, but there has been

0:21:14.280 --> 0:21:17.520
<v Speaker 7>a lot of news reporting and a former senior FTC

0:21:17.600 --> 0:21:20.520
<v Speaker 7>official who recently left, who has spoken out about some

0:21:20.640 --> 0:21:22.160
<v Speaker 7>of the activities related to the.

0:21:22.119 --> 0:21:23.440
<v Speaker 3>Hewlett Packard Juniper deal.

0:21:23.640 --> 0:21:26.120
<v Speaker 7>Now, most recently, we have a deal between two huge

0:21:26.119 --> 0:21:29.560
<v Speaker 7>real estate brokerages, Compass and Anywhere, that was cleared very

0:21:29.600 --> 0:21:32.640
<v Speaker 7>quickly without even a deep investigation by the Federal Trade

0:21:32.640 --> 0:21:35.600
<v Speaker 7>Commission upside the Department of Justice. That surprised a lot

0:21:35.640 --> 0:21:37.479
<v Speaker 7>of people. I think it even surprised the companies that

0:21:37.480 --> 0:21:41.359
<v Speaker 7>have projected to close much later this year. And apparently

0:21:41.400 --> 0:21:43.399
<v Speaker 7>that was also because lobbyist had stepped in.

0:21:44.520 --> 0:21:47.440
<v Speaker 2>Stay with us more from Bloomberg Intelligence coming up after this.

0:21:51.160 --> 0:21:54.879
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

0:21:54.960 --> 0:21:58.040
<v Speaker 1>weekdays at ten am easterne on Apple Coarplay and Android

0:21:58.040 --> 0:22:01.360
<v Speaker 1>Auto with the Bloomberg Business app. Listen on demand wherever

0:22:01.400 --> 0:22:04.520
<v Speaker 1>you get your podcasts, or watch us live on YouTube.

0:22:05.440 --> 0:22:07.760
<v Speaker 2>We need to talk about AI, not so far, not

0:22:07.840 --> 0:22:10.480
<v Speaker 2>so much so far as to how it's impacting the

0:22:10.520 --> 0:22:13.000
<v Speaker 2>stock market, because we've seen that and we see that today,

0:22:13.119 --> 0:22:16.480
<v Speaker 2>but how companies are actually integrating it and how consumers

0:22:16.520 --> 0:22:20.600
<v Speaker 2>are experiencing it. Lindsay Dutch is our Bloomberg Intelligence Consumer

0:22:20.640 --> 0:22:24.439
<v Speaker 2>Hardlines senior analysts, and she's been researching this idea of

0:22:24.520 --> 0:22:29.280
<v Speaker 2>retailers embracing AI. But I guess there's a recognition, Lindsay

0:22:29.359 --> 0:22:33.320
<v Speaker 2>that for impulse purchases, which are so critical for the industry,

0:22:34.040 --> 0:22:36.040
<v Speaker 2>you still need a human touch, so it can't be

0:22:36.080 --> 0:22:39.920
<v Speaker 2>done remotely. It can't be done virtually. It's usually done

0:22:39.920 --> 0:22:41.840
<v Speaker 2>in person, and it's kind of unpredictable.

0:22:44.080 --> 0:22:47.000
<v Speaker 8>Yes, Hi Scarlett, thanks so much for having me. I

0:22:47.240 --> 0:22:50.679
<v Speaker 8>just returned from the NRF conference, forty thousand people. There

0:22:50.680 --> 0:22:53.880
<v Speaker 8>lots of retailer leaders there. You know, AI was all

0:22:53.920 --> 0:22:56.400
<v Speaker 8>the buzz. It was pretty much the topic of every session.

0:22:58.040 --> 0:22:59.800
<v Speaker 8>And as I think about it, there's a lot of

0:23:00.040 --> 0:23:04.320
<v Speaker 8>really cool technology going into this, and retailers are mostly

0:23:04.440 --> 0:23:08.520
<v Speaker 8>using AI to improve employee productivity, move employees up the

0:23:08.600 --> 0:23:14.159
<v Speaker 8>value chain, improve afflirational efficiency. And on the customer side,

0:23:14.280 --> 0:23:16.840
<v Speaker 8>we're mostly seeing it in terms of like a customer

0:23:16.880 --> 0:23:20.480
<v Speaker 8>service chatbot, maybe some personalization when you look at your

0:23:20.560 --> 0:23:24.080
<v Speaker 8>email ads. But there's you know, new levels that are

0:23:24.080 --> 0:23:26.639
<v Speaker 8>coming that will really you know, amp up. You know,

0:23:26.840 --> 0:23:31.000
<v Speaker 8>AI's place in that retail shopping journey. But as you mentioned,

0:23:31.040 --> 0:23:33.960
<v Speaker 8>I think, you know that spur of the moment, that's spontaneity,

0:23:34.000 --> 0:23:35.880
<v Speaker 8>when you find something that you love and you have

0:23:35.920 --> 0:23:36.480
<v Speaker 8>to buy it.

0:23:36.840 --> 0:23:37.879
<v Speaker 3>You know, that's a big.

0:23:37.720 --> 0:23:41.840
<v Speaker 8>Piece of the shopping and retail world, and that really

0:23:41.880 --> 0:23:45.240
<v Speaker 8>still you need some human element in that process.

0:23:45.840 --> 0:23:48.520
<v Speaker 5>Lindsay, we talk often about the death of brick and

0:23:48.560 --> 0:23:51.919
<v Speaker 5>mortar stores. People aren't going into physical stores as much

0:23:51.920 --> 0:23:54.680
<v Speaker 5>as they are shopping online. Do you think that AI

0:23:54.800 --> 0:23:57.800
<v Speaker 5>can reignite the excitement for going into a store and

0:23:57.880 --> 0:23:59.360
<v Speaker 5>experiencing the technology.

0:24:00.600 --> 0:24:03.720
<v Speaker 8>So I actually think we're already seeing a return to

0:24:03.760 --> 0:24:06.119
<v Speaker 8>brick and mortar, you know, coming out of the pandemic.

0:24:06.200 --> 0:24:08.919
<v Speaker 8>You know, people realize how important it is to have

0:24:08.960 --> 0:24:13.480
<v Speaker 8>an in person experience. More recently, you know, I've heard comments,

0:24:13.640 --> 0:24:15.800
<v Speaker 8>you know, I follow best Buy. You know they have

0:24:15.920 --> 0:24:19.320
<v Speaker 8>talked about that gen Z and younger shoppers are showing

0:24:19.320 --> 0:24:22.040
<v Speaker 8>a much stronger preference to shop in the store, to

0:24:22.280 --> 0:24:25.280
<v Speaker 8>talk to their geek squad, you know, you know, to

0:24:25.320 --> 0:24:28.000
<v Speaker 8>get advice, to browse things in person. We also see

0:24:28.000 --> 0:24:30.960
<v Speaker 8>that from an alta beauty as well. So I do

0:24:31.040 --> 0:24:33.800
<v Speaker 8>think e commerce penetation will continue to rise.

0:24:33.840 --> 0:24:34.399
<v Speaker 3>As a whole.

0:24:34.840 --> 0:24:37.840
<v Speaker 8>I think these new technologies will continue to support more

0:24:37.880 --> 0:24:41.720
<v Speaker 8>shopping online, but I do think there is a personal

0:24:41.800 --> 0:24:46.520
<v Speaker 8>element that will remain. And you know, we see strong

0:24:46.600 --> 0:24:49.280
<v Speaker 8>brick and mortar demand on the retail real estate side,

0:24:49.320 --> 0:24:51.600
<v Speaker 8>and that is expected to continue for some time.

0:24:52.800 --> 0:24:56.119
<v Speaker 2>Having said all that, how does AI enhance the ability

0:24:56.240 --> 0:25:00.679
<v Speaker 2>for stores to be able to reach out to consumers

0:25:00.840 --> 0:25:05.400
<v Speaker 2>so that they're there and have the right recommendations when

0:25:05.480 --> 0:25:08.560
<v Speaker 2>consumers are in the mood to make impulse purchases.

0:25:09.600 --> 0:25:13.160
<v Speaker 8>Yeah, so right now, I think the best consumer facing

0:25:14.119 --> 0:25:18.040
<v Speaker 8>use of AI is really increasing discovery exactly what you're saying,

0:25:18.200 --> 0:25:22.399
<v Speaker 8>So being able to serve up product online when a

0:25:22.440 --> 0:25:24.640
<v Speaker 8>customer is looking for it. And you know, this new

0:25:24.720 --> 0:25:29.440
<v Speaker 8>tool that Google co developed with Walmart and others, Universal

0:25:29.640 --> 0:25:32.920
<v Speaker 8>Commerce Protocol, is going to do just that. So you

0:25:32.960 --> 0:25:36.240
<v Speaker 8>can pop into this tool which is powered by Gemini,

0:25:37.000 --> 0:25:39.000
<v Speaker 8>and you can say I'm looking for a navy boot

0:25:39.000 --> 0:25:41.920
<v Speaker 8>blazer that I don't want to have dry cleaned, and

0:25:42.240 --> 0:25:46.280
<v Speaker 8>it will serve up you know, the product from the brand.

0:25:47.000 --> 0:25:51.560
<v Speaker 8>You can transact right there, so it's all seamless. Something

0:25:51.640 --> 0:25:54.560
<v Speaker 8>like that, you know, is a great tool to bring

0:25:55.080 --> 0:25:58.480
<v Speaker 8>product directly to the person and close the gap between

0:25:58.760 --> 0:26:01.959
<v Speaker 8>looking for something that you want, finding it, and transacting it.

0:26:02.520 --> 0:26:04.840
<v Speaker 8>And we see a lot of technology, you know, coming

0:26:04.880 --> 0:26:07.560
<v Speaker 8>to the fore that that's going to allow that to happen.

0:26:08.440 --> 0:26:12.240
<v Speaker 5>Lindsay, AI and new technology can be really complicated for

0:26:12.400 --> 0:26:15.879
<v Speaker 5>consumers to navigate. What are companies doing to help guide

0:26:15.880 --> 0:26:19.760
<v Speaker 5>shoppers through maximizing the experience they get with AI.

0:26:21.359 --> 0:26:22.520
<v Speaker 3>Yeah, that's a tough one.

0:26:22.600 --> 0:26:24.960
<v Speaker 8>I mean I think that you know, people in generally

0:26:25.240 --> 0:26:28.880
<v Speaker 8>are using more tools like Gemini, you know, for all

0:26:28.920 --> 0:26:32.639
<v Speaker 8>sorts of things chat, GPT that will you increase that

0:26:32.760 --> 0:26:35.600
<v Speaker 8>comfort level. And we have seen over time, you know,

0:26:35.880 --> 0:26:39.080
<v Speaker 8>I also cover home furnishings. You know, in the beginning,

0:26:39.160 --> 0:26:41.280
<v Speaker 8>when people were starting to transact online, like no one

0:26:41.320 --> 0:26:43.960
<v Speaker 8>wanted to buy a couch or a big product like

0:26:44.000 --> 0:26:45.879
<v Speaker 8>that that that you would typically want to sit on

0:26:45.960 --> 0:26:47.159
<v Speaker 8>and feel.

0:26:47.560 --> 0:26:49.439
<v Speaker 3>And you know that over time, you.

0:26:49.440 --> 0:26:53.679
<v Speaker 8>Know, retailers have figured out how to showcase their product

0:26:53.720 --> 0:26:57.560
<v Speaker 8>in a digital way that makes comfortable customers more comfortable

0:26:57.560 --> 0:27:01.480
<v Speaker 8>transacting on a big ticket item like that that you

0:27:01.520 --> 0:27:04.040
<v Speaker 8>would normally really want to see in person. And I

0:27:04.080 --> 0:27:06.640
<v Speaker 8>think the same thing would be true for these other

0:27:06.800 --> 0:27:10.800
<v Speaker 8>new technologies. It will take time, you know, adoption will rise,

0:27:10.920 --> 0:27:14.040
<v Speaker 8>it will rise slowly, and that's why I think it's

0:27:14.040 --> 0:27:16.280
<v Speaker 8>a real balance. You have to be, you know, in

0:27:16.280 --> 0:27:18.359
<v Speaker 8>that tech world, but you also have to be in person.

0:27:18.960 --> 0:27:21.960
<v Speaker 2>Well said what surprised you the most, lindsay, very quickly

0:27:22.040 --> 0:27:24.119
<v Speaker 2>at NRF twenty twenty six when you went there.

0:27:24.000 --> 0:27:25.720
<v Speaker 3>What kind of blew you away?

0:27:27.560 --> 0:27:31.919
<v Speaker 8>You know, I think the retail environment right now has

0:27:32.160 --> 0:27:35.760
<v Speaker 8>in twenty twenty five, is an extremely challenging environment, you know,

0:27:35.800 --> 0:27:38.159
<v Speaker 8>And I think what's most impressive is, you know, the

0:27:38.160 --> 0:27:41.200
<v Speaker 8>people in the industry are just so excited to take

0:27:41.240 --> 0:27:45.160
<v Speaker 8>on new challenges in twenty twenty six, you know, even

0:27:45.200 --> 0:27:48.400
<v Speaker 8>though we're still battling costs from tariffs, trying to implement

0:27:48.400 --> 0:27:52.600
<v Speaker 8>all this technology, a difficult consumer backdrop. So there's just

0:27:52.680 --> 0:27:55.320
<v Speaker 8>a lot of excitement in the industry and everyone is

0:27:55.359 --> 0:27:58.320
<v Speaker 8>just so excited to rise to that next new challenge.

0:27:58.320 --> 0:27:59.439
<v Speaker 8>And I love that energy.

0:28:00.280 --> 0:28:04.960
<v Speaker 1>This is the Bloomberg Intelligence Podcast, available on Apple, Spotify,

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