WEBVTT - Nvidia Ripples Through Markets

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg

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<v Speaker 1>Surveillance Podcast. Catch us live weekdays at seven am Eastern

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<v Speaker 2>DA Davidson and in charge of all of institutional research,

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<v Speaker 2>Gil Laura, joins us this morning. It's on Tech and

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<v Speaker 2>on Nvidian and you know all the rest of it. Gil,

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<v Speaker 2>you follow thirty companies. You got a very measured out look.

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<v Speaker 2>Fourteen buy sixteen holds off the Bloomberg this morning, What

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<v Speaker 2>is the character of your enthusiasm on Nvidia given fourteen

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<v Speaker 2>buy sixteen, hold zero cells.

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<v Speaker 3>They're doing very well and they're set up to do

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<v Speaker 3>well this year. But this may be as good as

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<v Speaker 3>it gets for video. Their big customers have increased spend

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<v Speaker 3>the most into the fourth quarter of last year. They're

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<v Speaker 3>probably going to start moderating the growth and spend this year,

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<v Speaker 3>so this may be as good as it gets for Nvidia.

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<v Speaker 2>Off the screen, you got a neutral on in video,

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<v Speaker 2>neutral on Salesforce, Nutrol on Zoom. I'm loving this neutral

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<v Speaker 2>on five to nine Away we go what's a neutral?

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<v Speaker 2>Should I hold the stack? Do I want to find

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<v Speaker 2>something else to do? What does neutral mean? Gilherty?

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<v Speaker 3>There's better things to do, so if we're to look,

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<v Speaker 3>last night was a great view of what the AI

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<v Speaker 3>trade is, right and video was the AI trade a

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<v Speaker 3>couple of years ago, and last year Salesforce is not

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<v Speaker 3>quite ready for AI. Snowflake was a fantastic report. Infrastructure

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<v Speaker 3>software is incredibly important for companies to be able to

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<v Speaker 3>run AI application. They need to get their data ready

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<v Speaker 3>and Snowflake is leading the way in terms of doing that.

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<v Speaker 3>They have the main analytical database, the leading product, and

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<v Speaker 3>so companies are using them to put all the data

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<v Speaker 3>in one place so they can even start building AI applications.

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<v Speaker 3>That's why Snowflake did well. That's why we like infrastructure

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<v Speaker 3>software companies like Snowflake, Data Dog, Dina, trace Jyfrog. We

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<v Speaker 3>like half the companies. We just prefer them over the

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<v Speaker 3>other half.

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<v Speaker 2>All these names, Detroit, Lions, blue Light, all these names.

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<v Speaker 2>Is it like two thousand reducts? It sounds like a

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<v Speaker 2>Super Bowl list from two.

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<v Speaker 4>Thousand exactly right?

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<v Speaker 5>Hey, Gil, we just had President Trump put out a

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<v Speaker 5>tweet saying that these tariffs are going into place, including China.

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<v Speaker 4>Here, how does the.

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<v Speaker 5>Tech world view a world of increasing tariffs, Well.

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<v Speaker 3>It depends on if you're selling hard goods or if

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<v Speaker 3>you're selling software. If you're selling hardware, let's say in Nvidia,

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<v Speaker 3>this makes your life a little bit more complicated. Higher

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<v Speaker 3>tariff borders between the US and China, between China and Taiwan,

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<v Speaker 3>between Taiwan and where they source their materials, all those

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<v Speaker 3>types of tariffs will add up to make the product

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<v Speaker 3>more expensive. For the software companies, in the internet companies,

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<v Speaker 3>it'll be more subtle. Let's not forget part of the

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<v Speaker 3>reason we're talking about putting tariffs on Europe is that

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<v Speaker 3>the Europeans have made a habit of charging our big

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<v Speaker 3>technology companies billions of dollars at a time as quote

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<v Speaker 3>unquote penalties for whatever behavior they choose to penalize. So

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<v Speaker 3>as we escalate with Europe, those companies may suffer more.

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<v Speaker 3>As we escalate with China, Apple may get in the

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<v Speaker 3>crosshairs again. So it could have an impact, But it

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<v Speaker 3>really depends on how much follow through there is in

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<v Speaker 3>terms of tariffs and how combative our adversaries are going

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<v Speaker 3>to be. Once we do raise tariffs.

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<v Speaker 5>So if you're a Microsoft, how much attention are you

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<v Speaker 5>paying to what's happening in Washington, DC with tariffs?

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<v Speaker 3>A lot of attention again, especially as it has to

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<v Speaker 3>do with Europe. Again, the Europeans have fined Microsoft many times,

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<v Speaker 3>have extracted their penalties and fees out of Microsoft, and

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<v Speaker 3>they'll go right back to that. Well if they decide

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<v Speaker 3>that's a good way to retaliate against tariffs that we

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<v Speaker 3>put on European cars. Perhaps, So for all of these companies,

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<v Speaker 3>they're paying a lot of attention because on many of

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<v Speaker 3>these frontiers they are right in the crosshairs of retaliation.

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<v Speaker 5>So in the eleven o'clock hour, Gil Caroline Heide to

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<v Speaker 5>Bloomberg Television is going to be interviewing mister Jasse from Amazon.

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<v Speaker 5>What do you need to hear from mister Jesse in

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<v Speaker 5>the days and weeks to come Amazon, because I know

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<v Speaker 5>that's one of the names you have a buyer reading on.

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<v Speaker 2>Yeah.

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<v Speaker 3>So the progress they're making across the board is very impressive.

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<v Speaker 3>It's our favorite megacap pig because they're leading the way

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<v Speaker 3>in terms of facilitating enterprise AI because AWS is the

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<v Speaker 3>biggest hyperscaler. They're also going to have the biggest AI

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<v Speaker 3>business there. On the consumer side, the introd Alexa plus

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<v Speaker 3>yesterday have rufus on the shopping app so they're helping

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<v Speaker 3>consumers shop through better and better AI tools. And then

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<v Speaker 3>on the retail business they're doing well as the US

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<v Speaker 3>consumer holds up, the European consumer can possibly pick up.

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<v Speaker 3>And all these things feed into each other. The advertising

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<v Speaker 3>business is getting better with AI with more volume, so

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<v Speaker 3>that flywheel is working pretty well for Amazon right now.

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<v Speaker 2>How is their box business? See, people like you, Gil,

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<v Speaker 2>you never talk about you get a cardboard box? You know?

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<v Speaker 2>Did you like the new phone ones? Paul? They little

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<v Speaker 2>little thing you need?

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<v Speaker 4>All right?

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<v Speaker 2>You know? What do you what do you think? I mean?

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<v Speaker 2>Is a box business going to put the US Post Office,

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<v Speaker 2>FedEx and everybody else out of business?

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<v Speaker 3>The UPS and FedEx a few years ago when Amazon

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<v Speaker 3>came to them before it started doing its own delivery

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<v Speaker 3>and asked them for price concessions, and they said no.

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<v Speaker 3>And boy do they regret it, because now Amazon's already

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<v Speaker 3>surpassed UPS and will will soon make those two companies

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<v Speaker 3>smaller and smaller. They're they're making US postal service smaller.

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<v Speaker 3>I know the Amazon trucks at my house at least

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<v Speaker 3>two or three times a day.

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<v Speaker 2>I mean, it's great here. But you know, one of

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<v Speaker 2>the things you know, with Gil Lauria and d Davidson, folks,

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<v Speaker 2>we can do this because a really holistic view on

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<v Speaker 2>securities research. We were talking earlier to Carolina. She swears

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<v Speaker 2>they still got one day delivery in the United Kingdom.

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<v Speaker 2>Grant's tenzy waens. I mean at the distance from Carolina

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<v Speaker 2>Hie to John Faraow's house now England is like forty

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<v Speaker 2>two miles. But is one day delivery gone? That was

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<v Speaker 2>an experiment Giloria of years ago. Have they just given

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<v Speaker 2>that up quietly so they can profit? No, it's quite

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<v Speaker 2>the contrary. Delivery times they are still getting shorter, and

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<v Speaker 2>they are absolutely relentless about it. They are constantly adding

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<v Speaker 2>more fulfillment centers, last mile operations. They're still talking about

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<v Speaker 2>using drones. They are going to be relentless about shortening

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<v Speaker 2>delivery times and while keeping the delivery costs lower. They're

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<v Speaker 2>investing billions of dollars in it, and they're not going

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<v Speaker 2>to stop until we get everything we want the same

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<v Speaker 2>day we go to surveillance. How many boxes are at

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<v Speaker 2>the front door, correspond at Lisa Matteo, do you, Lisa,

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<v Speaker 2>I don't buy it. I don't see one day delivery

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<v Speaker 2>anymore at Amazon, do you.

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<v Speaker 4>I get a sad Yeah. Absolutely, that's where I live.

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<v Speaker 5>It could be just yeah, no, I mean you make

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<v Speaker 5>a phone call when you're doing your morning, you know,

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<v Speaker 5>run around during your morning towards by the time you

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<v Speaker 5>get back home and right there.

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<v Speaker 2>Okay, so that's Mayor Adam's fault. We'll talk to him about.

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<v Speaker 5>What's upper eastside things cans about four day delivery. It's

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<v Speaker 5>a whole third avenue taking over.

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<v Speaker 4>As John Tucker always reports to.

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<v Speaker 5>Us, Apple, Gil, you have a buy rating on Apple

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<v Speaker 5>if I'm an, If I'm Apple, I.

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<v Speaker 4>Still have to worry about China.

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<v Speaker 5>I get twenty percent of my revenue in China'm despite

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<v Speaker 5>what I'm trying to do when friendshuring and on shurn,

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<v Speaker 5>my supply chain is completely tied to China. Here, How

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<v Speaker 5>can I buy Apple stock if I've got that China

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<v Speaker 5>is still hanging over me.

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<v Speaker 3>Yeah, China is the big risk. It's it's the most

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<v Speaker 3>competitive market, it's the most dynamic market. And again it's

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<v Speaker 3>it gets ensnared in the UI. China dispute, trade dispute.

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<v Speaker 3>So it is a risk. It's down to fifteen percent,

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<v Speaker 3>it may go down to even less of Apple's revenue

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<v Speaker 3>going forward. And at the same time, Apple is investing

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<v Speaker 3>in the next break market, which is India, and they're

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<v Speaker 3>hoping to get over the next twenty thirty years the

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<v Speaker 3>same type of growth they've gone out of China over

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<v Speaker 3>the last twenty years, because China is not going to

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<v Speaker 3>be supportive of the growth story on the product side.

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<v Speaker 3>And then to your point, it's also a challenge in

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<v Speaker 3>terms of the supply chain. Apple has diversified away from

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<v Speaker 3>China largely, but again with a higher tariffs. Any goods

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<v Speaker 3>in service, any goods that get shipped anywhere in the world,

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<v Speaker 3>are going to be at risk of having higher costs.

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<v Speaker 5>All right, So stepping back, GIL, looking across all your

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<v Speaker 5>coverage and again cover you know thirty some odd names

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<v Speaker 5>in broad tech. Have we seen peak AI.

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<v Speaker 2>That's come up a couple of times today.

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<v Speaker 3>Yeah, it's important, not at all, not at all. We're

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<v Speaker 3>just getting started. AI is going to make all of

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<v Speaker 3>us more productive. It's going to be a contributor to

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<v Speaker 3>GDP growth. It's just not going to happen overnight. There's

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<v Speaker 3>going to be different waves of benefit. Again, the last

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<v Speaker 3>wave was Microsoft and Nvidia. Now the wave is infrastructure software. Again,

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<v Speaker 3>I highlighted Snowflake, but there's others. And then in two

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<v Speaker 3>or three years there's going to be a wave of

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<v Speaker 3>applications that take off and drive a lot of activity there,

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<v Speaker 3>including through the Apple ecosystem, which will make the iPhone

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<v Speaker 3>more valuable. Eventually, it'll be becomes so big that it'll

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<v Speaker 3>make all of us more productive. We'll all have personal

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<v Speaker 3>assistance that can help us at work, can help with

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<v Speaker 3>our personal lives. This future is coming, it's just not

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<v Speaker 3>going to happen overnight. And unfortunately we had some companies

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<v Speaker 3>raise expectations as if it's imminent, when in fact it'll

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<v Speaker 3>take a few more years before we see it in

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<v Speaker 3>everyday life all the time.

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<v Speaker 2>Yeah, that's absolutely brilliant. I mean, that's a very nice summary, Gilory.

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<v Speaker 2>That's why we're having you on here. But I don't

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<v Speaker 2>where's the proof of concept. I mean, give me one

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<v Speaker 2>infrastructure thing in the New York Tri state area. I mean,

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<v Speaker 2>is AI helping them land airplanes at EWR, is AI

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<v Speaker 2>helping with the building of the many tunnels under the

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<v Speaker 2>Hudson River, the Sweeney Tunnels. We're calling though mean where

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<v Speaker 2>Giloria is the first proof of concept of AI doing that.

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<v Speaker 3>Software code. Software engineers were, if you look two three

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<v Speaker 3>years ago, were in such short supply that the main

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<v Speaker 3>reason we didn't have advances in softwares we didn't have

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<v Speaker 3>enough software engineers. What's happening now is Generator of AI

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<v Speaker 3>is actually perfectly suited for software because it's a language

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<v Speaker 3>that easy to understand and easy to translate to. And

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<v Speaker 3>so we're having an explosion of software code development. It's

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<v Speaker 3>going to take a couple of years before we see

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<v Speaker 3>the results of it, but it's already starting to happen.

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<v Speaker 3>And those are the infrastructure software companies that we're talking

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<v Speaker 3>about again, names like get lab and JFrog are helping

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<v Speaker 3>develop more code. Snowflake is helping store these new applications.

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<v Speaker 3>That's already happening. That's why those companies are doing better

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<v Speaker 3>than other software companies right now. But it's going to

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<v Speaker 3>take time before we see it in our everyday life.

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<v Speaker 3>For now, we just have chatbots and Alexa plus ordering

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<v Speaker 3>April towels when you ask it to don't.

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<v Speaker 2>Be a stranger. This is really informative. Thank you so much,

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<v Speaker 2>gil Loria, with a nice mix of uys and neutrals.

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<v Speaker 2>We like to see that. On the sell side.

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<v Speaker 1>You're listening to the Bloomberg Surveillance podcast got us Live

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<v Speaker 1>weekday afternoons from seven to ten am Eastern Listen on

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<v Speaker 2>This is a joy in an important day to speak

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<v Speaker 2>to Wendy Schiller's professor at Brown University, but far more nationally,

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<v Speaker 2>and forget about the Republican Democrat thing. Just here is

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<v Speaker 2>our civics second paragraph. This happens to be from the

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<v Speaker 2>Washington Post, Professor Schiller. The brief administrative order, which did

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<v Speaker 2>not address the underlying legal issues, will allow time for

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<v Speaker 2>a full Supreme Court review. Professor Schiller, what should our

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<v Speaker 2>listeners either pro Trump, anti Trump, anti Democrat pro this

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<v Speaker 2>da What should we expect from Justice Roberts in the

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<v Speaker 2>Supreme Court?

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<v Speaker 6>Well, I mean, I think, Tom, I go all way

0:13:53.360 --> 0:13:55.160
<v Speaker 6>back to John Marshall. I mean, I really do think

0:13:55.160 --> 0:13:58.720
<v Speaker 6>about Marvey v. Madison. I think about crucial decisions that

0:13:58.800 --> 0:14:02.200
<v Speaker 6>the Court has made in history that shift the balance

0:14:02.240 --> 0:14:06.360
<v Speaker 6>of power across branches. And that's certainly what MARVV Medicine did,

0:14:06.440 --> 0:14:10.280
<v Speaker 6>elevating this I courts power and reducing president's power. Thomas

0:14:10.320 --> 0:14:13.040
<v Speaker 6>Jefferson was not happy about that. I think in this case,

0:14:13.160 --> 0:14:15.280
<v Speaker 6>this isn't just a one off. This isn't there's a

0:14:15.320 --> 0:14:18.600
<v Speaker 6>whole series of cases that will, in fact, you know,

0:14:18.720 --> 0:14:24.440
<v Speaker 6>affirm or restrain or expand the president's discretionary power over

0:14:24.480 --> 0:14:28.280
<v Speaker 6>the money that Congress appropriates across the board. It's not

0:14:28.360 --> 0:14:32.040
<v Speaker 6>just about aid, it's not just about DEI, It's not

0:14:32.080 --> 0:14:34.680
<v Speaker 6>about just a single thing. So this is a real

0:14:34.800 --> 0:14:37.480
<v Speaker 6>moment for Roberts, who's had a number of these really

0:14:37.520 --> 0:14:41.360
<v Speaker 6>important moments. The immunity decision obviously, but even going back

0:14:41.360 --> 0:14:44.640
<v Speaker 6>to Obamacare, you know, affirming the you know, Obamacare is

0:14:44.640 --> 0:14:47.600
<v Speaker 6>a program, but then also limiting the federal government's power

0:14:47.600 --> 0:14:50.560
<v Speaker 6>to be coercive in how it distributes money. And that's

0:14:50.680 --> 0:14:52.760
<v Speaker 6>this balancing act that Roberts is facing.

0:14:52.800 --> 0:14:55.040
<v Speaker 2>I think right now, let's take a given justice. I'm

0:14:55.040 --> 0:14:59.360
<v Speaker 2>going to go with Wizard White, Byron White, hugely respected

0:14:59.640 --> 0:15:03.200
<v Speaker 2>with the our Supreme Court history, legitimate college you have

0:15:03.280 --> 0:15:07.880
<v Speaker 2>to lead at Colorado, legitimate baseball draftee with the Pittsburgh Pirates.

0:15:08.200 --> 0:15:11.600
<v Speaker 2>He got to the Supreme Court, and he surprised those

0:15:11.800 --> 0:15:14.840
<v Speaker 2>people that thought Wizard White would do this, do this,

0:15:14.920 --> 0:15:18.000
<v Speaker 2>do this. Are we going to get the same surprise

0:15:18.440 --> 0:15:21.680
<v Speaker 2>from the more conservative members of the court or do

0:15:21.760 --> 0:15:24.160
<v Speaker 2>you suggest they'll go lockstep with a president.

0:15:25.880 --> 0:15:29.160
<v Speaker 6>I think they're probably literally starting to think about middle ground.

0:15:29.240 --> 0:15:32.280
<v Speaker 6>I don't know that they'll go completely lock step, but

0:15:32.360 --> 0:15:35.840
<v Speaker 6>there's a lot of room in this structure Articles one, two,

0:15:35.960 --> 0:15:38.760
<v Speaker 6>and even three of the Constitution to have the president

0:15:38.920 --> 0:15:42.280
<v Speaker 6>exert power. The difference today from any other Roman history

0:15:42.520 --> 0:15:45.440
<v Speaker 6>is the size and scope of the federal government. That's

0:15:45.560 --> 0:15:49.400
<v Speaker 6>the big new factor in the sense of this constitutional arrangement.

0:15:49.640 --> 0:15:51.480
<v Speaker 6>You know, they were writing Constitution for a president that

0:15:51.520 --> 0:15:54.760
<v Speaker 6>was overseeing a very tiny federal government, and that stayed

0:15:54.800 --> 0:15:57.720
<v Speaker 6>tiny for on more than one hundred years. So now

0:15:57.720 --> 0:16:00.600
<v Speaker 6>we've got something that affects everybody's daily life. You know,

0:16:00.640 --> 0:16:03.120
<v Speaker 6>what does that mean? How much responsibility does the president

0:16:03.200 --> 0:16:06.160
<v Speaker 6>have in power and how much does Congress have a

0:16:06.240 --> 0:16:08.400
<v Speaker 6>say in it? And this is going to be crucial

0:16:08.440 --> 0:16:10.960
<v Speaker 6>going forward because of the scope of the federal government.

0:16:11.040 --> 0:16:14.160
<v Speaker 6>It really does affect everybody's life. And that's where the

0:16:14.200 --> 0:16:16.880
<v Speaker 6>Court now has so much more at stake, not just

0:16:16.920 --> 0:16:19.840
<v Speaker 6>for the separation powers, but for its own survival. If

0:16:19.840 --> 0:16:22.320
<v Speaker 6>you give the president, you know, free reign over everything,

0:16:22.640 --> 0:16:24.480
<v Speaker 6>what's to say he's not going to want changes in

0:16:24.520 --> 0:16:28.239
<v Speaker 6>the Court or ignore the Court. So the Court's survival

0:16:28.280 --> 0:16:31.520
<v Speaker 6>in terms of influential here is also on the line.

0:16:32.120 --> 0:16:32.600
<v Speaker 4>Professor.

0:16:32.680 --> 0:16:38.240
<v Speaker 5>We had President Trump's first cabinet meeting yesterday, Tellwes, and

0:16:38.280 --> 0:16:40.280
<v Speaker 5>we had mister Musk there. What did you take away

0:16:40.680 --> 0:16:41.680
<v Speaker 5>from that cabinet meeting?

0:16:42.760 --> 0:16:44.920
<v Speaker 6>Well, I mean it's something you could not even imagine,

0:16:45.000 --> 0:16:47.120
<v Speaker 6>even like in a movie, you know, like you wouldn't

0:16:47.160 --> 0:16:48.960
<v Speaker 6>even you know, Wag the you know, Wag the Dog,

0:16:49.040 --> 0:16:51.040
<v Speaker 6>that movie about sort of a fake war. And we thought, oh,

0:16:51.240 --> 0:16:54.160
<v Speaker 6>these things can't ever happen. I never, in my days

0:16:54.200 --> 0:16:56.360
<v Speaker 6>teaching every thought this would be the first photo of

0:16:56.400 --> 0:16:59.720
<v Speaker 6>a major cabinet meeting. I thought Trump was doing Trump.

0:17:00.040 --> 0:17:01.960
<v Speaker 6>He was sort of giving Elon Musk a little bit

0:17:02.280 --> 0:17:05.040
<v Speaker 6>you know, of shade at some point, but then also

0:17:05.080 --> 0:17:09.800
<v Speaker 6>reaffirming Musk's authority. He clearly wants to walk away with

0:17:09.880 --> 0:17:13.640
<v Speaker 6>a definitive, visible cut in the size of the federal workforce,

0:17:13.920 --> 0:17:17.240
<v Speaker 6>and whoever can get there first will be Trump's favorite,

0:17:17.359 --> 0:17:19.600
<v Speaker 6>and so right now it's Musk. But if it starts

0:17:19.640 --> 0:17:22.480
<v Speaker 6>to cause some backlash and problems, He'll just instruct all

0:17:22.520 --> 0:17:25.880
<v Speaker 6>of his cabinet members to do that and literally say

0:17:25.920 --> 0:17:27.399
<v Speaker 6>do it or you're fired. I mean, this is the

0:17:27.400 --> 0:17:29.520
<v Speaker 6>way he will run the cabinet. So it was a

0:17:29.520 --> 0:17:32.359
<v Speaker 6>bit surreal, but you could see that Trump was power

0:17:32.400 --> 0:17:35.760
<v Speaker 6>playing even within his own cabinet, which every president does.

0:17:35.840 --> 0:17:36.280
<v Speaker 5>By the way.

0:17:36.840 --> 0:17:37.399
<v Speaker 4>It's interesting.

0:17:37.440 --> 0:17:40.240
<v Speaker 5>I mean, I think you know, you looked around the

0:17:40.240 --> 0:17:43.000
<v Speaker 5>table when you saw mister Musk, and I figure, if

0:17:43.040 --> 0:17:45.360
<v Speaker 5>you're a cabinet person, this is kind of the.

0:17:45.320 --> 0:17:47.280
<v Speaker 4>Peak of your political career. You've become.

0:17:47.720 --> 0:17:50.560
<v Speaker 5>You know, you have your heading up a big department

0:17:50.600 --> 0:17:54.280
<v Speaker 5>within US government, but I guess you kind of have

0:17:54.359 --> 0:17:56.720
<v Speaker 5>to report to mister Musk. Is that kind of the

0:17:56.800 --> 0:17:58.000
<v Speaker 5>vibe taken from yesterday?

0:17:58.880 --> 0:18:01.080
<v Speaker 6>Well, I mean, certainly it's the public visible vibe, but

0:18:01.160 --> 0:18:03.840
<v Speaker 6>of course underneath, you know, behind the scenes, you're gonna

0:18:03.840 --> 0:18:06.920
<v Speaker 6>see cabinet members now they're confirmed, and the FBI is

0:18:06.920 --> 0:18:10.600
<v Speaker 6>an awfully powerful place, the Treasury is an awfully powerful place.

0:18:11.359 --> 0:18:15.160
<v Speaker 6>I think these people will assert themselves behind the scenes constantly.

0:18:15.160 --> 0:18:18.560
<v Speaker 6>With Trump trying to sort of minimize Musk's capacity to

0:18:18.640 --> 0:18:22.280
<v Speaker 6>tell them what to do. But we have real things happening. Sadly,

0:18:22.359 --> 0:18:24.440
<v Speaker 6>somebody died. I think at least one person has died

0:18:24.480 --> 0:18:28.399
<v Speaker 6>of measles in Texas. That's something that RFK has to

0:18:28.440 --> 0:18:30.439
<v Speaker 6>deal with as a cabinet member. You know, there are

0:18:30.520 --> 0:18:32.840
<v Speaker 6>things that will happen that will affect people that will

0:18:32.880 --> 0:18:35.960
<v Speaker 6>be negative. What does Trump do then? Does he blame

0:18:36.080 --> 0:18:38.840
<v Speaker 6>Musk or does he blame Kennedy? You know, and they're

0:18:38.880 --> 0:18:42.320
<v Speaker 6>all trying to like basically avoid blame for the backlash

0:18:42.400 --> 0:18:45.360
<v Speaker 6>and the bad things that will happen from making such drastic,

0:18:45.560 --> 0:18:47.080
<v Speaker 6>you know, visible cuts so quickly.

0:18:47.240 --> 0:18:50.600
<v Speaker 2>One final question, what do you glean is a relationship

0:18:50.640 --> 0:18:54.920
<v Speaker 2>between the leadership of the GOP Senate and the GOP House.

0:18:56.240 --> 0:18:57.879
<v Speaker 6>I knew you were going to ask me this. I

0:18:57.880 --> 0:19:00.960
<v Speaker 6>did some homer before I came on. Ye, so are

0:19:01.040 --> 0:19:04.879
<v Speaker 6>we the Senate Republican majority leaders are saying, Yeah, that

0:19:04.880 --> 0:19:07.960
<v Speaker 6>House resolution that barely passed, that was lauded as a

0:19:08.000 --> 0:19:11.080
<v Speaker 6>political victory twenty four hours ago, Yeah, we're not taking that.

0:19:11.160 --> 0:19:13.399
<v Speaker 6>We're not interested in that one. That's not going to

0:19:13.480 --> 0:19:15.560
<v Speaker 6>do it for us. We want lots of changes, in

0:19:15.600 --> 0:19:19.640
<v Speaker 6>particular Medicaid. This is where senators represent entire states. They

0:19:19.680 --> 0:19:22.359
<v Speaker 6>deal with governors much more frequently, and they understand that

0:19:22.400 --> 0:19:25.160
<v Speaker 6>all the people in the state are affected. Medicaid effects states.

0:19:25.480 --> 0:19:27.600
<v Speaker 6>So this is where you see the institutional design of

0:19:27.600 --> 0:19:30.240
<v Speaker 6>the House and Senate really coming through a particularly on Medicaid.

0:19:30.240 --> 0:19:32.600
<v Speaker 6>On this Budgy resolution, they said the tax cuts weren't

0:19:32.600 --> 0:19:35.199
<v Speaker 6>permanent enough. I'm not sure what that means. George W.

0:19:35.280 --> 0:19:38.120
<v Speaker 6>Bush wanted permanent tax cuts. It's hard to do. So

0:19:38.200 --> 0:19:41.000
<v Speaker 6>the Senate is already planting its flag and telling the

0:19:41.040 --> 0:19:42.879
<v Speaker 6>House that there's a lot of work to be done.

0:19:43.040 --> 0:19:45.560
<v Speaker 2>Professor, you get an a thank you so much, Wendy

0:19:45.600 --> 0:19:50.080
<v Speaker 2>Schuler Brown University. I really appreciate her input.

0:19:50.640 --> 0:19:54.560
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:19:54.600 --> 0:19:57.640
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0:19:57.640 --> 0:20:01.159
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0:20:01.240 --> 0:20:05.560
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0:20:05.680 --> 0:20:07.480
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0:20:07.480 --> 0:20:08.520
<v Speaker 4>Join us right now.

0:20:09.040 --> 0:20:12.760
<v Speaker 2>Huge response in Julia Pollocks on she's a ZipRecruiter? Really

0:20:12.880 --> 0:20:16.199
<v Speaker 2>is a chief US Economists A starkly different take on

0:20:16.280 --> 0:20:20.120
<v Speaker 2>the labor economy. Julia, we had not ZIP recruiter. He's

0:20:20.119 --> 0:20:23.679
<v Speaker 2>from a small internet firm City Group. Andrew Hollenhorst was

0:20:23.760 --> 0:20:26.480
<v Speaker 2>just on saying there seemed to be a little bit

0:20:26.520 --> 0:20:29.639
<v Speaker 2>of cracks in the employment armor. Do you agree.

0:20:30.960 --> 0:20:33.199
<v Speaker 7>I think it's too soon to tell. So on the

0:20:33.240 --> 0:20:37.000
<v Speaker 7>one hand, you have consumer confidence falling, there's so many

0:20:37.080 --> 0:20:39.919
<v Speaker 7>new things happening. We know that uncertainty can be a

0:20:40.000 --> 0:20:43.840
<v Speaker 7>drag on investments and hiring as companies wait for clarity,

0:20:44.359 --> 0:20:47.040
<v Speaker 7>so it's possible that that is happening. We also know

0:20:47.119 --> 0:20:52.199
<v Speaker 7>that some specific companies are concerned about tariffs and the

0:20:52.200 --> 0:20:56.360
<v Speaker 7>effect on their businesses. But we also know that there

0:20:56.400 --> 0:20:59.920
<v Speaker 7>are many many employers who are basically euphoric. They expect

0:21:00.200 --> 0:21:05.760
<v Speaker 7>far fewer investigations from the government, They expect looser, more

0:21:05.880 --> 0:21:10.800
<v Speaker 7>favorable regulation, a better business environment. So it's really mixed

0:21:10.800 --> 0:21:12.360
<v Speaker 7>bag at the moment, and we don't know how it's

0:21:12.359 --> 0:21:14.480
<v Speaker 7>going to work out. And the aggregate figures, I expect

0:21:14.480 --> 0:21:16.399
<v Speaker 7>this job support will still be a pretty strong one.

0:21:17.320 --> 0:21:21.440
<v Speaker 5>So what drives just stepping back here from a corporation,

0:21:21.520 --> 0:21:24.480
<v Speaker 5>what drives my hiring strategy on a kind of a

0:21:24.520 --> 0:21:28.320
<v Speaker 5>six to twelve month basis, do.

0:21:28.280 --> 0:21:30.399
<v Speaker 7>You look at the market, you see the products and

0:21:30.480 --> 0:21:35.000
<v Speaker 7>services that you are producing, You see how much you

0:21:35.160 --> 0:21:39.400
<v Speaker 7>are able to make for them. If you see an

0:21:39.400 --> 0:21:43.639
<v Speaker 7>opportunity to expand into a new product line or a

0:21:43.680 --> 0:21:48.240
<v Speaker 7>new service and make money, you know, if the profit

0:21:48.400 --> 0:21:51.240
<v Speaker 7>is going to be positive, the revenue will exceed the costs,

0:21:51.280 --> 0:21:53.520
<v Speaker 7>then you go for it. You know, there are lots

0:21:53.560 --> 0:21:56.200
<v Speaker 7>of reasons that people hold back and try to hire

0:21:56.280 --> 0:21:59.240
<v Speaker 7>fewer people. One, the tax code encourages it. You hire

0:21:59.240 --> 0:22:01.760
<v Speaker 7>a person, you pay payroll tax, you get a machine,

0:22:02.280 --> 0:22:04.359
<v Speaker 7>you get a full tax right off. So we have

0:22:04.400 --> 0:22:06.040
<v Speaker 7>a couple of things that we need to do in

0:22:06.080 --> 0:22:11.800
<v Speaker 7>this country to you know, make sure that's what's not inevitable.

0:22:12.200 --> 0:22:15.040
<v Speaker 7>It doesn't happen because we force it to. So, you know,

0:22:15.160 --> 0:22:17.480
<v Speaker 7>people are worried that robust will take over jobs. Well,

0:22:17.680 --> 0:22:21.280
<v Speaker 7>our policies kind of encourage that. There are also states

0:22:21.280 --> 0:22:24.680
<v Speaker 7>with very very tough label laws where employers are terrified

0:22:24.680 --> 0:22:26.400
<v Speaker 7>of hiring someone because they're worried they won't be able

0:22:26.400 --> 0:22:30.560
<v Speaker 7>to terminate them without being sued. So there are lots

0:22:30.560 --> 0:22:33.800
<v Speaker 7>of things that make employers hold back.

0:22:34.280 --> 0:22:36.359
<v Speaker 2>Julie, and we're going to do the economic data here

0:22:36.400 --> 0:22:38.399
<v Speaker 2>in a moment, Julia Pollock with us a zip recruiter.

0:22:38.520 --> 0:22:41.600
<v Speaker 2>Let's go back to first principles. What do you see

0:22:42.200 --> 0:22:47.200
<v Speaker 2>distinctive Zip recruiter? Fossils like us look at it and go, oh,

0:22:47.240 --> 0:22:50.280
<v Speaker 2>it's Internet. It's people you know on a laptop at

0:22:50.359 --> 0:22:52.840
<v Speaker 2>Starbucks trying to find their jobs so they can work

0:22:52.880 --> 0:22:56.879
<v Speaker 2>from home four days a week. That's a stereotype, Julia Pollock.

0:22:56.960 --> 0:23:00.240
<v Speaker 2>What do you see at zip recruiter? What's unique your

0:23:00.600 --> 0:23:01.480
<v Speaker 2>website effort?

0:23:03.080 --> 0:23:05.040
<v Speaker 7>So the difficulty in the labor market is that this

0:23:05.119 --> 0:23:08.600
<v Speaker 7>is the most heterogeneous market on the planet. No jobs

0:23:08.600 --> 0:23:10.399
<v Speaker 7>are the same and no workers are the same, and

0:23:10.480 --> 0:23:13.320
<v Speaker 7>so there's a tremendously difficult matching problem. And that's where

0:23:13.359 --> 0:23:16.679
<v Speaker 7>zippercruiter comes in. We help connect the right employers with

0:23:16.720 --> 0:23:18.800
<v Speaker 7>the right jobs at the right moment. And that is

0:23:18.840 --> 0:23:20.280
<v Speaker 7>not a trivial problem.

0:23:20.560 --> 0:23:22.720
<v Speaker 5>It's not just about wages here, Julia. I mean, it

0:23:22.720 --> 0:23:26.800
<v Speaker 5>seems like wage growth is pretty darn solid. Yes, inflation's

0:23:26.840 --> 0:23:29.320
<v Speaker 5>a big, big issue for all consumers out there, but

0:23:29.359 --> 0:23:32.320
<v Speaker 5>wage growth has been pretty darn good. Is that seemed

0:23:32.359 --> 0:23:34.439
<v Speaker 5>solid to you?

0:23:34.359 --> 0:23:37.320
<v Speaker 7>You? Wage growth has exceeded inflation now for about two

0:23:37.400 --> 0:23:42.359
<v Speaker 7>years and I think workers are trying to are starting

0:23:42.400 --> 0:23:45.720
<v Speaker 7>to feel that after twenty five months of negative real

0:23:45.760 --> 0:23:48.479
<v Speaker 7>wage growth in twenty twenty one twenty two made them

0:23:48.480 --> 0:23:52.080
<v Speaker 7>feel pretty gloomy. Many are feeling less financial strain now.

0:23:52.119 --> 0:23:56.320
<v Speaker 7>In our job seeker confidence surveys, we've seen the financial

0:23:56.359 --> 0:23:58.440
<v Speaker 7>index go up a lot in the last few months.

0:23:58.640 --> 0:24:00.800
<v Speaker 2>Right, Let make you the economic data. We do this

0:24:00.840 --> 0:24:03.160
<v Speaker 2>for Julia Pollock and ZIP recruiter. We say good morning

0:24:03.160 --> 0:24:06.480
<v Speaker 2>to all of you futures. We're up thirty thirty five.

0:24:06.560 --> 0:24:10.560
<v Speaker 2>We're watching right now. Seems to be a lift this morning.

0:24:10.880 --> 0:24:13.399
<v Speaker 2>GDB comes in level two point three percent on a

0:24:13.440 --> 0:24:16.600
<v Speaker 2>second look, but far more consumption and tick up four

0:24:16.600 --> 0:24:21.880
<v Speaker 2>point two percent. Critically, the GDP Price Index. Julia, let

0:24:21.880 --> 0:24:24.280
<v Speaker 2>me give you this exactly. It was a two. It's

0:24:24.280 --> 0:24:29.159
<v Speaker 2>a wow statistic two point two percent prior the second

0:24:29.160 --> 0:24:33.000
<v Speaker 2>look GDP is not two point two percent. It's such

0:24:33.160 --> 0:24:35.879
<v Speaker 2>a lift. I wonder if it's a typo. We'll have

0:24:35.920 --> 0:24:42.280
<v Speaker 2>to watch that four point two percent. On a simplistic basis,

0:24:42.440 --> 0:24:44.280
<v Speaker 2>you take a two three and a four to two,

0:24:44.840 --> 0:24:46.880
<v Speaker 2>add them together, and you got a six point five

0:24:46.920 --> 0:24:50.760
<v Speaker 2>percent nominal GDP. That's an amateur take but that gives

0:24:50.800 --> 0:24:55.000
<v Speaker 2>you the shock of this GDP price index statistic from

0:24:55.119 --> 0:24:57.760
<v Speaker 2>the survey was two point two percent, and it's a

0:24:57.760 --> 0:25:02.400
<v Speaker 2>true jump condition to four point two percent. Durable goods

0:25:02.840 --> 0:25:04.840
<v Speaker 2>right now, I'm going to say with a lift as

0:25:04.880 --> 0:25:09.480
<v Speaker 2>well an x aircraft. What Julia Pollack looks at is

0:25:09.520 --> 0:25:14.920
<v Speaker 2>again sprightly zero point three is larger zero point eight

0:25:15.000 --> 0:25:17.760
<v Speaker 2>and on claims we finally get the weakness here. Two

0:25:17.800 --> 0:25:21.200
<v Speaker 2>twenty one comes in at two forty two, so it's

0:25:21.280 --> 0:25:23.600
<v Speaker 2>market moving equities don't do much. But I'm going to

0:25:23.680 --> 0:25:26.280
<v Speaker 2>go down here. We've been talking all morning. The Sweeney

0:25:26.359 --> 0:25:30.119
<v Speaker 2>yield actually churns at a four point zero nine up percent.

0:25:30.200 --> 0:25:33.280
<v Speaker 2>The ten year real yield comes in ever so slightly

0:25:33.359 --> 0:25:38.800
<v Speaker 2>one point ninety one percent. Julia Pollock did the nominal

0:25:38.840 --> 0:25:43.080
<v Speaker 2>GDP amateur take. But just to be safe here, do

0:25:43.160 --> 0:25:46.240
<v Speaker 2>we still see a run rate of animal spirits in

0:25:46.240 --> 0:25:50.000
<v Speaker 2>the nation of five percent plus?

0:25:50.680 --> 0:25:53.520
<v Speaker 7>Well, this is sort of interesting, isn't it. I mean,

0:25:53.760 --> 0:25:57.639
<v Speaker 7>GDP is coming in lower than previously estimated and inflation higher,

0:25:57.680 --> 0:26:00.879
<v Speaker 7>and that's consistent with the change which is in the

0:26:00.920 --> 0:26:04.920
<v Speaker 7>Fed's projections recently. And I think that is consistent with

0:26:05.359 --> 0:26:09.239
<v Speaker 7>the shift and sentiment recently as well. The economy is

0:26:09.440 --> 0:26:12.879
<v Speaker 7>still growing at a robust rate. I mean, people didn't

0:26:12.880 --> 0:26:16.560
<v Speaker 7>expect two percent GDP growth now given our demographic shifts,

0:26:17.320 --> 0:26:20.600
<v Speaker 7>So that's still fairly strong, but it's not as strong

0:26:20.640 --> 0:26:23.840
<v Speaker 7>as we once thought. Employment growth also, we saw those

0:26:23.880 --> 0:26:26.879
<v Speaker 7>huge revisions, the big benchmark revisions was not as strong

0:26:26.880 --> 0:26:29.240
<v Speaker 7>in twenty twenty three and twenty twenty four as we

0:26:29.280 --> 0:26:33.680
<v Speaker 7>initially thought. And inflation is proving more stubborn.

0:26:34.119 --> 0:26:37.440
<v Speaker 2>What's a character of inflation you see at ZIP recruiter.

0:26:39.560 --> 0:26:43.359
<v Speaker 7>So this is not wage driven inflation. For the most part,

0:26:43.720 --> 0:26:49.640
<v Speaker 7>productivity growth is strong and employers do have pretty substantial

0:26:49.920 --> 0:26:53.439
<v Speaker 7>wage setting power, even though yes, there are industries with

0:26:53.560 --> 0:26:56.520
<v Speaker 7>labor shortages where where employers are sort of boxed in.

0:26:58.280 --> 0:27:01.920
<v Speaker 7>The issue here really is housing. That's the biggest source

0:27:01.960 --> 0:27:03.960
<v Speaker 7>of inflation in the United States, and then of course

0:27:04.400 --> 0:27:10.919
<v Speaker 7>energy goes up and down with geopolitical swings. So housing

0:27:11.000 --> 0:27:13.000
<v Speaker 7>is the big one though, and the FED has proven

0:27:13.400 --> 0:27:17.520
<v Speaker 7>somewhat ineffective at dealing with it because when the FED

0:27:17.600 --> 0:27:21.640
<v Speaker 7>raises interest rates, we see inventories shrink, and so prices

0:27:21.720 --> 0:27:24.520
<v Speaker 7>remain high and price growth rough and strong.

0:27:25.000 --> 0:27:27.840
<v Speaker 2>Julia, thank you so much, particularly during this economic data,

0:27:27.960 --> 0:27:32.920
<v Speaker 2>really really appreciated.

0:27:34.560 --> 0:27:38.439
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:27:38.520 --> 0:27:41.919
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:27:41.960 --> 0:27:44.760
<v Speaker 1>with the Bloomberg Business app. You can also watch us

0:27:44.800 --> 0:27:48.680
<v Speaker 1>live every weekday on YouTube and always on the Bloomberg terminal.

0:27:48.800 --> 0:27:51.240
<v Speaker 2>This is a joy in an important day to speak

0:27:51.240 --> 0:27:55.960
<v Speaker 2>to Wendy Schiller, professor at Brown University, but far more nationally,

0:27:56.520 --> 0:28:00.160
<v Speaker 2>and forget about the Republican Democrat thing, Jess. Here is

0:28:00.160 --> 0:28:03.399
<v Speaker 2>our civics second paragraph. This happens to be from the

0:28:03.480 --> 0:28:08.240
<v Speaker 2>Washington Post, Professor Schiller. The brief administrative order, which did

0:28:08.240 --> 0:28:12.879
<v Speaker 2>not address the underlying legal issues, will allow time for

0:28:13.000 --> 0:28:18.240
<v Speaker 2>a full Supreme Court review. Professor Schiller, what should our

0:28:18.280 --> 0:28:23.440
<v Speaker 2>listeners either pro Trump, anti Trump, anti Democrat pro this

0:28:24.119 --> 0:28:28.639
<v Speaker 2>d D. What should we expect from Justice Roberts in

0:28:28.720 --> 0:28:29.639
<v Speaker 2>the Supreme Court?

0:28:30.920 --> 0:28:32.720
<v Speaker 6>Well, I mean, I think, Tom, I go all the

0:28:32.720 --> 0:28:34.439
<v Speaker 6>way back to John Marshall. I mean, I really do

0:28:34.520 --> 0:28:38.080
<v Speaker 6>think about Marve v. Madison. I think about crucial decisions

0:28:38.120 --> 0:28:41.200
<v Speaker 6>that the Court has made in history that shift the

0:28:41.280 --> 0:28:45.280
<v Speaker 6>balance of power across branches. And that's certainly what Marvey v.

0:28:45.360 --> 0:28:49.400
<v Speaker 6>Madison did, elevating this report's power and reducing president's power.

0:28:49.520 --> 0:28:51.920
<v Speaker 6>Thoma Jefferson was not happy about that. I think in

0:28:51.960 --> 0:28:54.400
<v Speaker 6>this case, this isn't just a one off. This isn't

0:28:54.480 --> 0:28:57.440
<v Speaker 6>there's a whole series of cases that will, in fact,

0:28:57.920 --> 0:29:03.400
<v Speaker 6>you know, affirm or restrain or expand the president's discretionary

0:29:03.440 --> 0:29:07.440
<v Speaker 6>power over the money that Congress appropriates across the board.

0:29:07.440 --> 0:29:10.719
<v Speaker 6>It's not just about AID, it's not just about DEI,

0:29:11.120 --> 0:29:13.720
<v Speaker 6>It's not about just a single thing. So this is

0:29:13.760 --> 0:29:16.560
<v Speaker 6>a real moment for Roberts, who's had a number of

0:29:16.600 --> 0:29:20.400
<v Speaker 6>these really important moments. The immunity decision obviously, but even

0:29:20.440 --> 0:29:23.440
<v Speaker 6>going back to Obamacare, you know, affirming the you know,

0:29:23.480 --> 0:29:26.440
<v Speaker 6>Obamacare is a program, but then also limiting the federal

0:29:26.480 --> 0:29:29.440
<v Speaker 6>government's power to be coercive in how it distributes money.

0:29:29.520 --> 0:29:32.280
<v Speaker 6>And that's this balancing act that Roberts is facing.

0:29:32.280 --> 0:29:34.560
<v Speaker 2>I think right now, let's take a given justice. I'm

0:29:34.560 --> 0:29:38.920
<v Speaker 2>going to go with Wizard White. Byron White, hugely respected

0:29:39.160 --> 0:29:43.920
<v Speaker 2>within our Supreme Court history, legitimate college athlete at Colorado,

0:29:44.280 --> 0:29:48.200
<v Speaker 2>legitimate baseball draftee with the Pittsburgh Pirates. He got to

0:29:48.240 --> 0:29:52.640
<v Speaker 2>the Supreme Court and he surprised those people that thought

0:29:52.680 --> 0:29:54.800
<v Speaker 2>Wiz or Wight would do this, do this, do this.

0:29:55.240 --> 0:29:58.200
<v Speaker 2>Are we going to get the same surprise from the

0:29:58.280 --> 0:30:01.760
<v Speaker 2>more conservative members of the court or do you suggest

0:30:01.800 --> 0:30:03.680
<v Speaker 2>they'll go lockstep with a president.

0:30:05.400 --> 0:30:08.640
<v Speaker 6>I think they're probably literally starting to think about middle ground.

0:30:08.760 --> 0:30:11.800
<v Speaker 6>I don't know that they'll go completely lock step, but

0:30:11.840 --> 0:30:15.360
<v Speaker 6>there's a lot of room in this structure Articles one, two,

0:30:15.440 --> 0:30:18.320
<v Speaker 6>and even three of the Constitution to have the president

0:30:18.440 --> 0:30:21.800
<v Speaker 6>exert power. The difference today from any other Roman history

0:30:22.000 --> 0:30:24.920
<v Speaker 6>is the size and scope of the federal government. That's

0:30:25.040 --> 0:30:28.880
<v Speaker 6>the big new factor in the sense of this constitutional arrangement.

0:30:29.120 --> 0:30:30.960
<v Speaker 6>You know, they were writing Constitution for a president that

0:30:31.000 --> 0:30:34.240
<v Speaker 6>was overseeing a very tiny federal government, and that stayed

0:30:34.280 --> 0:30:37.400
<v Speaker 6>tiny for more than one hundred years. So now we've

0:30:37.400 --> 0:30:40.240
<v Speaker 6>got something that affects everybody's daily life. You know, what

0:30:40.280 --> 0:30:42.800
<v Speaker 6>does that mean? How much responsibility does the president have

0:30:42.920 --> 0:30:45.960
<v Speaker 6>in power and how much does Congress have a say

0:30:46.000 --> 0:30:48.200
<v Speaker 6>in it? And this is going to be crucial going

0:30:48.240 --> 0:30:50.640
<v Speaker 6>forward because of the scope of the federal government. It

0:30:50.680 --> 0:30:54.040
<v Speaker 6>really does affect everybody's life. And that's where the Court

0:30:54.160 --> 0:30:56.520
<v Speaker 6>now has so much more at stake, not just for

0:30:56.560 --> 0:30:59.400
<v Speaker 6>the separation powers, but for its own survival. If you

0:30:59.440 --> 0:31:01.840
<v Speaker 6>give the president and then you know, free reign over everything,

0:31:02.120 --> 0:31:04.080
<v Speaker 6>what's to say he's not gonna want changes in the

0:31:04.120 --> 0:31:07.840
<v Speaker 6>court or ignore the court. So the Court's survival in

0:31:07.920 --> 0:31:11.040
<v Speaker 6>terms of influential here is also on the line.

0:31:11.600 --> 0:31:12.080
<v Speaker 4>Professor.

0:31:12.160 --> 0:31:17.720
<v Speaker 5>We had President Trump's first cabinet meeting yesterday, Tellwies, and

0:31:17.760 --> 0:31:19.760
<v Speaker 5>we had mister Musk there. What did you take away

0:31:20.200 --> 0:31:21.160
<v Speaker 5>from that cabinet meeting?

0:31:22.280 --> 0:31:24.400
<v Speaker 6>Well, I mean it's something you could not even imagined,

0:31:24.520 --> 0:31:26.640
<v Speaker 6>even like in a movie, you know, like you wouldn't

0:31:26.640 --> 0:31:28.440
<v Speaker 6>even you know, Wag the you know, Wag the Dog,

0:31:28.520 --> 0:31:30.640
<v Speaker 6>that movie about sort of a fake war, and thought, Oho,

0:31:30.720 --> 0:31:34.040
<v Speaker 6>these things can't ever happen. I never, in my days teaching,

0:31:34.080 --> 0:31:35.960
<v Speaker 6>ever thought this would be the first photo of a

0:31:36.000 --> 0:31:39.560
<v Speaker 6>major cabinet meeting. I thought Trump was doing Trump. He

0:31:39.680 --> 0:31:41.960
<v Speaker 6>was sort of giving Elon Musk a little bit you know,

0:31:42.040 --> 0:31:46.480
<v Speaker 6>of shade at some point, but then also reaffirming Musk's authority.

0:31:46.880 --> 0:31:50.760
<v Speaker 6>He clearly wants to walk away with a definitive, visible

0:31:50.880 --> 0:31:53.960
<v Speaker 6>cut in the size of the federal workforce, and whoever

0:31:54.040 --> 0:31:57.120
<v Speaker 6>can get there first will be Trump's favorite. And so

0:31:57.240 --> 0:31:59.480
<v Speaker 6>right now it's Musk. But if it starts to cause

0:31:59.480 --> 0:32:02.680
<v Speaker 6>some backline problems, he'll just instruct all of his cabinet

0:32:03.080 --> 0:32:05.800
<v Speaker 6>members to do that and literally say do it or

0:32:05.840 --> 0:32:07.360
<v Speaker 6>you're fired. I mean, this is the way he will

0:32:07.440 --> 0:32:10.160
<v Speaker 6>run the cabinet. So it was a bit surreal, but

0:32:10.240 --> 0:32:12.800
<v Speaker 6>you could see that Trump was power playing even within

0:32:12.840 --> 0:32:15.800
<v Speaker 6>his own cabinet, which every president does. By the way.

0:32:16.320 --> 0:32:16.920
<v Speaker 4>It's interesting.

0:32:16.920 --> 0:32:19.760
<v Speaker 5>I mean, I think you know, you looked around the

0:32:19.760 --> 0:32:22.480
<v Speaker 5>table when you saw mister Musk, and I figure, if

0:32:22.520 --> 0:32:24.760
<v Speaker 5>you're a cabinet person, this is kind.

0:32:24.600 --> 0:32:26.800
<v Speaker 4>Of the peak of your political career. You've become.

0:32:27.200 --> 0:32:30.040
<v Speaker 5>You know, you have, you're heading up a big department

0:32:30.080 --> 0:32:33.360
<v Speaker 5>with a US government, But I guess you kind of

0:32:33.600 --> 0:32:35.840
<v Speaker 5>have to report to mister Musk. Is that kind of

0:32:36.160 --> 0:32:37.480
<v Speaker 5>the vibe taken from yesterday?

0:32:38.400 --> 0:32:40.600
<v Speaker 6>Well, I mean, certainly it's the public visible vibe, but

0:32:40.640 --> 0:32:43.360
<v Speaker 6>of course underneath, you know, behind the scenes, you're gonna

0:32:43.360 --> 0:32:46.400
<v Speaker 6>see cabinet members now they're confirmed, and the FBI is

0:32:46.440 --> 0:32:50.120
<v Speaker 6>an awfully powerful place, the Treasury is an awfully powerful place.

0:32:50.880 --> 0:32:54.600
<v Speaker 6>I think these people will assert themselves behind the scenes constantly,

0:32:54.640 --> 0:32:58.080
<v Speaker 6>with Trump trying to sort of minimize Musk's capacity to

0:32:58.120 --> 0:33:01.800
<v Speaker 6>tell them what to do. But we have real things happening. Sadly,

0:33:01.880 --> 0:33:03.960
<v Speaker 6>somebody died. I think at least one person has died

0:33:04.000 --> 0:33:07.880
<v Speaker 6>of measles in Texas. That's something that RFK has to

0:33:07.920 --> 0:33:09.960
<v Speaker 6>deal with as a cabinet member. You know, there are

0:33:10.040 --> 0:33:12.360
<v Speaker 6>things that will happen that will affect people that will

0:33:12.360 --> 0:33:15.480
<v Speaker 6>be negative. What does Trump do then? Does he blame

0:33:15.560 --> 0:33:18.360
<v Speaker 6>Musk or does he blame Kennedy? You know, and they're

0:33:18.360 --> 0:33:21.880
<v Speaker 6>all trying to like basically avoid blame for the backlash

0:33:21.920 --> 0:33:24.880
<v Speaker 6>and the bad things that will happen from making such drastic,

0:33:25.080 --> 0:33:26.560
<v Speaker 6>you know, visible cuts so quickly.

0:33:26.720 --> 0:33:30.120
<v Speaker 2>One final question, what do you glean is a relationship

0:33:30.120 --> 0:33:34.440
<v Speaker 2>between the leadership of the GOP Senate and the GOP House.

0:33:35.760 --> 0:33:37.360
<v Speaker 6>I knew you were going to ask me this. I

0:33:37.400 --> 0:33:40.840
<v Speaker 6>did some homer before I came on. Yeah. So already

0:33:41.040 --> 0:33:44.640
<v Speaker 6>the Senate Republican majority leaders are saying, yeah, that House

0:33:44.680 --> 0:33:47.840
<v Speaker 6>resolution that barely passed, that was lauded as a political

0:33:47.880 --> 0:33:50.560
<v Speaker 6>victory twenty four hours ago, Yeah, we're not taking that.

0:33:50.680 --> 0:33:52.920
<v Speaker 6>We're not interested in that one. That's not going to

0:33:52.960 --> 0:33:55.040
<v Speaker 6>do it for us. We want lots of changes, in

0:33:55.080 --> 0:33:59.160
<v Speaker 6>particular Medicaid. This is where senators represent entire states. They

0:33:59.160 --> 0:34:01.880
<v Speaker 6>deal with governors much more frequently, and they understand that

0:34:01.920 --> 0:34:04.680
<v Speaker 6>all the people in the state are affected. Medicaid effects states.

0:34:05.000 --> 0:34:07.040
<v Speaker 6>So this is where you see the institutional design in

0:34:07.080 --> 0:34:09.720
<v Speaker 6>the House and Senate really coming through, particularly on Medicaid.

0:34:09.719 --> 0:34:12.080
<v Speaker 6>On this Budgy resolution, they said the tax cuts weren't

0:34:12.080 --> 0:34:14.680
<v Speaker 6>permanent enough. I'm not sure what that means. George W.

0:34:14.760 --> 0:34:17.600
<v Speaker 6>Bush wanted permanent tax cuts. It's hard to do. So

0:34:17.719 --> 0:34:20.480
<v Speaker 6>the Senate is already planting its flag and telling the

0:34:20.520 --> 0:34:22.400
<v Speaker 6>House that there's a lot of work to be done.

0:34:22.520 --> 0:34:25.040
<v Speaker 2>Professor, you get an a thank you so much, Wendy

0:34:25.080 --> 0:34:30.120
<v Speaker 2>Shler Brown University. I really appreciate her input.

0:34:30.600 --> 0:34:35.440
<v Speaker 1>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

0:34:35.560 --> 0:34:39.840
<v Speaker 1>and anywhere else you get your podcasts. Listen live each weekday,

0:34:39.960 --> 0:34:43.200
<v Speaker 1>seven to ten am Easter and on Bloomberg dot Com,

0:34:43.360 --> 0:34:47.160
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0:34:47.440 --> 0:34:50.560
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0:34:50.840 --> 0:34:52.880
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