WEBVTT - Apple Readies Arsenal of New Headset Apps

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 1>podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Hey, check out shares of Apple. We'll then hire up

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<v Speaker 2>about nine tens an percent. Up thirty percent though so

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<v Speaker 2>far here in twenty twenty three, company definitely on a radar.

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<v Speaker 2>You got CEO Tim Cook officially opening up Apple's first

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<v Speaker 2>store in India. You had Apple introducing a long promised

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<v Speaker 2>hoy Yield savings account with Goldman, and then a Bloomberg

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<v Speaker 2>exclusive courtesy of our Mark German about Apple's coming arsenal

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<v Speaker 2>of new headset apps. Yep, we knew we wanted to

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<v Speaker 2>learn more. Mark is, of course Bloomberg News technology reporter.

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<v Speaker 2>He joins us on zoom in our La bureau. So

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<v Speaker 2>much going on here, Mark, among the ton of news

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<v Speaker 2>on Apple today, including your exclusive What's first and foremost?

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<v Speaker 3>Yeah, I would say Apple's headset, right, That's on the

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<v Speaker 3>minds of everyone at Apple. That's on the minds of

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<v Speaker 3>everyone watching Apple at this point. This is going to

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<v Speaker 3>be a big deal.

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<v Speaker 1>Right.

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<v Speaker 3>When Apple launches new product categories, all eyes are on

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<v Speaker 3>the company.

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<v Speaker 4>Right.

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<v Speaker 3>The last time they did something like this was the

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<v Speaker 3>Apple Watch at the end of fourteen, ended up releasing

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<v Speaker 3>it in April twenty fifteen. Before that was the iPad,

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<v Speaker 3>and then the phone, and then the iPod and the.

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<v Speaker 4>Mac before that.

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<v Speaker 3>Right, So this Apple headset will join a string of

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<v Speaker 3>major blockbusters at the company is built around, right, and

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<v Speaker 3>so people are clamoring for more info on this device.

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<v Speaker 3>What's it going to do, what's it going to look like,

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<v Speaker 3>how much will it cost? Why would you even want

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<v Speaker 3>this thing?

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<v Speaker 4>Right?

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<v Speaker 3>And so I think the headset is at the forefront

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<v Speaker 3>for me at least. Right now, Mark, talk.

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<v Speaker 5>To us about the motivation behind rolling this out, because,

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<v Speaker 5>like you were mentioning, it's been a while since they've

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<v Speaker 5>had something like this as far as their product categories.

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<v Speaker 3>Yeah, Right, Mixed reality is something that Apple see is

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<v Speaker 3>potentially it's bridge to a post iPhone era or an

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<v Speaker 3>era where the iPhone becomes less important, just like when

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<v Speaker 3>the iPhone came out, the Mac, you know, became a

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<v Speaker 3>bit less important in terms of what consumers are using

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<v Speaker 3>right as their go to tech product, And so This

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<v Speaker 3>is the beginning of what's going to probably be maybe

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<v Speaker 3>a twenty year journey for the company. You know, they'll

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<v Speaker 3>start off with this high end headset, probably called the

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<v Speaker 3>Reality One or the Reality Pro this year, and then

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<v Speaker 3>they'll go to a cheaper model at the end of

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<v Speaker 3>twenty five, as well as a new high end model

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<v Speaker 3>at the end of twenty five. The eventual holy grail,

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<v Speaker 3>which I don't think they're going to get to until

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<v Speaker 3>maybe the end of the decade or even the beginning

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<v Speaker 3>of next decade, will be lightweight augmented reality glasses. And

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<v Speaker 3>that's really where you see you know, mixed reality and

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<v Speaker 3>augmented reality picking up steam and eventually replacing the need

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<v Speaker 3>to have something like a phone.

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<v Speaker 2>And listen, you need to have infrastructure and apps to

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<v Speaker 2>support it, right, I mean, it's great to have, you know,

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<v Speaker 2>a headset, right Mark, which got to be able to

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<v Speaker 2>do stuff with it. And that's what's interesting about your story,

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<v Speaker 2>your exclusive story, that this is what they're getting ready

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<v Speaker 2>to really roll out.

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<v Speaker 3>So the Apple headset's going to take a scattershot approach

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<v Speaker 3>to functionality, similarly to the original Apple Watch.

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<v Speaker 1>Right.

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<v Speaker 3>That means Apple is going to try everything from the

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<v Speaker 3>get go. They're gonna throw everything at this device, right,

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<v Speaker 3>and then over time consumers will you know, show Apple

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<v Speaker 3>and show the market what features they really want out

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<v Speaker 3>of the device.

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<v Speaker 1>Right.

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<v Speaker 3>The Apple Watch was filled with a ton of features

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<v Speaker 3>at the beginning, and they eventually paired that down a

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<v Speaker 3>bit and focused on a few core areas. I think

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<v Speaker 3>Apple's going to do something similar with the headset. So

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<v Speaker 3>if you have an iPad, you're already familiar with what

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<v Speaker 3>an Apple headset is going to be able to do.

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<v Speaker 3>It's gonna have every iPad app you can imagine, from

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<v Speaker 3>notes to pages, to iMovie to the camera to sort

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<v Speaker 3>of FaceTime and zoom on steroids where you'll be able

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<v Speaker 3>to really feel like you're in a meeting room with

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<v Speaker 3>another person in virtual reality. So I think this is

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<v Speaker 3>going to be an astonishingly cool and high tech device.

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<v Speaker 3>The question is do people really want to use these

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<v Speaker 3>types of features that they already have in a new

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<v Speaker 3>environment instead of the environment they're already using them in,

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<v Speaker 3>such as on their iPad or on their phone or mac.

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<v Speaker 2>Well, do we like it? Like right exactly? You know,

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<v Speaker 2>you could have had a laptop and then all of

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<v Speaker 2>a sudden you had an iPad. I mean, Apple is

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<v Speaker 2>incredible about saying you need to kind of continue to

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<v Speaker 2>build out your tech infrastructure with another device to be

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<v Speaker 2>able to use kind of the same apps. Are people saying,

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<v Speaker 2>do they believe that the headset has the potential to

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<v Speaker 2>be I don't know what size of a business for Apple?

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<v Speaker 2>What are they like in it too? That's already at Apple.

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<v Speaker 3>I believe the headset is the computer of the future, right,

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<v Speaker 3>the idea where instead of you're using your laptop or

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<v Speaker 3>instead of using your iPad, you're doing everything you were

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<v Speaker 3>doing already on your face, right, And I think Carol,

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<v Speaker 3>you summed it up perfectly. All these Apple devices, they're

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<v Speaker 3>all a means to the same end. They all do

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<v Speaker 3>the same stuff, right. It's all about running the same

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<v Speaker 3>apps but in different user interfaces and at different moments. Right,

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<v Speaker 3>So maybe you're using your Mac at your desk, but

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<v Speaker 3>you're using your iPad on an airplane or in your

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<v Speaker 3>living room, or your iPhone while you're out and about,

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<v Speaker 3>or your watch when you need to do the same

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<v Speaker 3>thing you could do and all those other devices very quickly. Right,

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<v Speaker 3>they all do the same thing. It's just a different

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<v Speaker 3>user interface.

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<v Speaker 5>Mark something you also had in your story you were

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<v Speaker 5>talking about how Apple is also working on a version

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<v Speaker 5>of its Fitness Plus service for the headset. This was

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<v Speaker 5>something that Meta or Facebook, however you want to call it,

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<v Speaker 5>that they had also tried to get into their VR headsets,

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<v Speaker 5>which that's obviously a big player in this space. How

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<v Speaker 5>do you think Apple could stand out from when you

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<v Speaker 5>have another competitor like Meta trying to already do something

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<v Speaker 5>like that.

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<v Speaker 3>Yeah, I mean the virtual workouts will be a big

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<v Speaker 3>part of the product, and I think Apple has the

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<v Speaker 3>infrastructure there already. Right Fitness Plus launch at the end

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<v Speaker 3>of twenty twenty. They have quite a bit a number

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<v Speaker 3>of users, and they have lots of content already pre

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<v Speaker 3>programmed there. They have lots of content film, lots of

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<v Speaker 3>classes they already have in there. It's just about converting

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<v Speaker 3>it and playing it in virtual reality, right, And so

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<v Speaker 3>given their content library on the fitness front, I think

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<v Speaker 3>they're way headed from day one on anything that Facebook

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<v Speaker 3>could offer, Right, Apple has it all ready to go already.

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<v Speaker 2>How big is sports a part of this? And you

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<v Speaker 2>think that's going to really be a reason why people

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<v Speaker 2>are like.

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<v Speaker 3>I'm in I don't think anyone's going to buy it,

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<v Speaker 3>particularly for the sports features. But now you'll be able

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<v Speaker 3>to watch a game, and you know, the idea is

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<v Speaker 3>you can make you feel like you're sitting courtside and

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<v Speaker 3>watching Lebron take over the Grizzlies game.

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<v Speaker 2>All right, Right, I know a few people who would

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<v Speaker 2>like that. Hey, Mark, while we have you there, we'd

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<v Speaker 2>be remiss talk to us about the story that's on

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<v Speaker 2>the Bloomberg about Apple, you know, opening up its first

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<v Speaker 2>retail store in India. You've got that out there. You've

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<v Speaker 2>got Apple and Goldman, this new savings account. I'm just,

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<v Speaker 2>you know, trying to make sense of it all as

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<v Speaker 2>increasingly Apple becomes a bigger and bigger part or at

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<v Speaker 2>least wants to be of our world.

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<v Speaker 3>Yeah, the India situation is interesting because I think the

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<v Speaker 3>retail stores are not going to add much to Apple

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<v Speaker 3>spot of line there. It's only two stores, but it's

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<v Speaker 3>representative of this bigger push. It's representative Apple pudding. It's

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<v Speaker 3>sort of flag in the ground in India.

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<v Speaker 1>Right.

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<v Speaker 3>The real story there is production and diversification and moving

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<v Speaker 3>more iPhone supply out of China into India. So I

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<v Speaker 3>think that's going to be a big deal. Apple's penetration

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<v Speaker 3>in the Indian market is essentially zero. It's a rounding

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<v Speaker 3>era on the larger market, and there's obviously a billion

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<v Speaker 3>plus there in India, right. There is a growing economy

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<v Speaker 3>in India right, a growing middle class, and I think

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<v Speaker 3>that is the growth story for Apple. You're looking for

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<v Speaker 3>places where Apple's going to grow, it's going to be

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<v Speaker 3>India because you know right now they're at zero percent,

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<v Speaker 3>not zero percent a couple percentage points, right, but very slow,

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<v Speaker 3>very low. And you can look at that as a

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<v Speaker 3>bad thing, and it is certainly a bad thing. They've

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<v Speaker 3>done nothing there, but it also is a huge opportunity

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<v Speaker 3>and it shows how much room still Apple has to

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<v Speaker 3>still grow, which I think is appealing to investors. On

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<v Speaker 3>the Goldman situation that was announced a few months ago,

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<v Speaker 3>it's now finally rolling out. People like this new four

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<v Speaker 3>point one percent apy, which is a quarter for percent

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<v Speaker 3>higher than when Goldman offers on Marcus if you were

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<v Speaker 3>to do it online. This is about people stuck to

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<v Speaker 3>their iPhones. If you put fifty grand in your savings

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<v Speaker 3>account on your iPhone, it's going to be a lot

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<v Speaker 3>more difficult for you to switch to a Samsung phone, right, Yeah,

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<v Speaker 3>and so Apple was just wanting to add more and

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<v Speaker 3>more features to keep the iPhone sticky and make the

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<v Speaker 3>iPhone more useful.

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<v Speaker 2>All right, we got to ask you. Just got about

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<v Speaker 2>forty five seconds left here, Microsoft and Vidia, Alphabet, Amazon,

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<v Speaker 2>four of the world's top seven most valuable companies. They

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<v Speaker 2>are all in seemingly so when it comes to chat gibt,

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<v Speaker 2>when does Apple make some news on this front? And again,

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<v Speaker 2>just got about thirty forty seconds.

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<v Speaker 3>You know, Apple's approach to AI is a bit different.

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<v Speaker 3>They're wanting to apply AI to real world problems and

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<v Speaker 3>situations rather than do a chatbot, right, and so you

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<v Speaker 3>see that as their self driving car, that's a very

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<v Speaker 3>AI heavy based products to enable that. Likewise, a lot

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<v Speaker 3>of the futures are going to get on this headset,

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<v Speaker 3>so they look at it a bit differently. But I

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<v Speaker 3>still think there's room for them to do more in

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<v Speaker 3>the chat GPT like style.

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<v Speaker 2>All right, Well, around the Apple world in about nine

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<v Speaker 2>ten minutes. Courtesy of Mark German, as only he can

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<v Speaker 2>do it. Hey Mark, thank you, Thank you Mark. He

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<v Speaker 2>has Bloomberg News Technology Reporter. Check out his exclusive It

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<v Speaker 2>is on the Bloomberg terminal at Bloomberg dot com and

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<v Speaker 2>of course you can check them out on Twitter at

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<v Speaker 2>Mark German.

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<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

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<v Speaker 6>I always be.

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<v Speaker 2>All right, books, We're going to stay with Netflix because

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<v Speaker 2>we want to and because we should. Stock is still

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<v Speaker 2>down about six and a half percent down as we

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<v Speaker 2>were just breaking down a little little hectic on as

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<v Speaker 2>we're getting warmed up to doing earning season again. But

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<v Speaker 2>Netflix is certainly a big one. Also tracking it is

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<v Speaker 2>John Erleckman, Bloomberg Markets anchor on Bloomberg Television. Very familiar

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<v Speaker 2>as you know with that tech space. John all right through,

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<v Speaker 2>are just talking about that second quarter revenue outlook, missing estimates.

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<v Speaker 2>Netflixing second quarter revenue eight point twenty four billion, the

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<v Speaker 2>estimate was eight point forty seven billion. We've been obsessed

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<v Speaker 2>a little bit too with that first quarter streaming paid

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<v Speaker 2>net change of one point seventy five million versus an

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<v Speaker 2>estimate that was two point forty one million. Break it

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<v Speaker 2>down for us, what's jumping out for you.

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<v Speaker 4>Well, I think it's expectations, Carol.

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<v Speaker 7>When we last talked about Netflix quarterly results, the first

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<v Speaker 7>set of results this year, the fourth quarter, the final

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<v Speaker 7>quarter for last year, I think there was more skepticism

0:10:27.920 --> 0:10:31.000
<v Speaker 7>in the air, and that was you might recall the

0:10:31.080 --> 0:10:36.400
<v Speaker 7>time when the company announced that the founder of the business,

0:10:36.480 --> 0:10:40.000
<v Speaker 7>Read Hastings, would be shifting out of the co CEO role,

0:10:40.920 --> 0:10:42.920
<v Speaker 7>and it was seen as sort of this new era

0:10:43.040 --> 0:10:45.199
<v Speaker 7>where not only we're going to be watching what was

0:10:45.240 --> 0:10:49.720
<v Speaker 7>happening with subscriber numbers, but with these new initiatives including

0:10:49.760 --> 0:10:55.040
<v Speaker 7>password sharing, crackdowns and the advertising tier, and the fact

0:10:55.080 --> 0:10:59.000
<v Speaker 7>that they had what ended up being expected subscriber numbers.

0:10:59.520 --> 0:11:02.920
<v Speaker 7>Really Wall Street, you might remember we saw in that

0:11:03.040 --> 0:11:06.480
<v Speaker 7>last quarter like an eight percent pop in stock, and

0:11:06.520 --> 0:11:10.280
<v Speaker 7>I think the view on technology stocks more broadly speaking

0:11:10.320 --> 0:11:14.439
<v Speaker 7>coming into earning season was did these names go too.

0:11:14.280 --> 0:11:15.040
<v Speaker 4>Far, too fast?

0:11:15.080 --> 0:11:16.960
<v Speaker 7>So far in twenty twenty three, if there's still some

0:11:17.080 --> 0:11:20.040
<v Speaker 7>uncertainty in the air, now, you're absolutely right.

0:11:20.080 --> 0:11:22.160
<v Speaker 4>I mean, I think the reality is.

0:11:22.120 --> 0:11:25.360
<v Speaker 7>You're just noting a sign of subscriber growth that we

0:11:25.440 --> 0:11:28.880
<v Speaker 7>came to expect with a Netflix, and maybe investors lose

0:11:28.960 --> 0:11:31.800
<v Speaker 7>sight of that when they get excited for these quarterly numbers.

0:11:32.000 --> 0:11:34.080
<v Speaker 4>We'll see what happens in the after our session.

0:11:34.200 --> 0:11:37.480
<v Speaker 7>Overall, but it is really shifting to be a business

0:11:37.520 --> 0:11:42.080
<v Speaker 7>that in many ways has already told us they are transitioning.

0:11:42.440 --> 0:11:46.400
<v Speaker 7>There are cost controls right now. Shutting down their DVD

0:11:46.520 --> 0:11:51.840
<v Speaker 7>by mail business is one example of cost controls. Password

0:11:51.880 --> 0:11:54.760
<v Speaker 7>sharing crackdowns is another. I mean, arguably that could bring

0:11:54.800 --> 0:11:58.480
<v Speaker 7>in more subscribers, but even looking at Bloomberg's breakdown in

0:11:58.679 --> 0:12:01.680
<v Speaker 7>markets like Latin America, maybe that's the kind of development

0:12:01.800 --> 0:12:06.280
<v Speaker 7>that loses you some subscribers. And then that advertising story,

0:12:06.679 --> 0:12:10.160
<v Speaker 7>while interesting to Wall Street, the company has already told

0:12:10.240 --> 0:12:12.600
<v Speaker 7>us it's not really going to be a meaningful story

0:12:12.640 --> 0:12:15.040
<v Speaker 7>for twenty twenty three. So we're kind of lingering through

0:12:15.160 --> 0:12:19.559
<v Speaker 7>here and everything you just highlighted before, Carroll the competitive

0:12:19.640 --> 0:12:22.760
<v Speaker 7>realities right now this has turned out. I think for

0:12:22.880 --> 0:12:26.720
<v Speaker 7>all the other industry players, maybe are rude awakening that

0:12:26.760 --> 0:12:30.240
<v Speaker 7>the streaming business dynamics are not as robust as what

0:12:30.280 --> 0:12:33.760
<v Speaker 7>they had expected. Netflix probably knew that. It's just that

0:12:33.760 --> 0:12:35.679
<v Speaker 7>they've had to deal with all those other competitors in

0:12:35.720 --> 0:12:36.640
<v Speaker 7>the landscape as well.

0:12:36.679 --> 0:12:40.440
<v Speaker 6>These last twelve to twenty four months, and John.

0:12:40.240 --> 0:12:42.840
<v Speaker 5>You're bringing up the competitors. We were just talking about

0:12:42.840 --> 0:12:45.800
<v Speaker 5>how Disney Roku Tho stalks down more than one percent

0:12:46.080 --> 0:12:48.400
<v Speaker 5>in after hours trading. What do you think is the

0:12:48.800 --> 0:12:50.880
<v Speaker 5>sort of broad read through as far as how this

0:12:51.160 --> 0:12:54.000
<v Speaker 5>is going to affect these other giants that are also

0:12:54.000 --> 0:12:57.240
<v Speaker 5>in the streaming space at this point, Well.

0:12:57.280 --> 0:13:01.480
<v Speaker 7>Jess, I mean, it's clearly the kind of thing where

0:13:02.040 --> 0:13:07.720
<v Speaker 7>if Netflix can't satisfy Wall Street, can other players get

0:13:07.720 --> 0:13:11.240
<v Speaker 7>the check mark that they're hoping for now? You know,

0:13:11.280 --> 0:13:15.079
<v Speaker 7>Disney's an interesting one to zero in on because one

0:13:15.160 --> 0:13:18.360
<v Speaker 7>of the things that we've heard and Bloomberg's report pretty

0:13:18.360 --> 0:13:21.480
<v Speaker 7>extensively on this over the last few months is not

0:13:21.600 --> 0:13:25.160
<v Speaker 7>a story of everybody fighting over subscribers, but in many

0:13:25.200 --> 0:13:28.400
<v Speaker 7>ways a return to the movie theater. I mean, Bloomberg's

0:13:28.400 --> 0:13:31.400
<v Speaker 7>own reporting has told us about you know, Amazon doing

0:13:31.480 --> 0:13:36.520
<v Speaker 7>theatrical releases, Apple doing theatrical releases, Disney as that arm.

0:13:37.080 --> 0:13:41.320
<v Speaker 7>But I think even for Disney, cost controls is a

0:13:41.440 --> 0:13:45.240
<v Speaker 7>very front and center focus for them too. So it

0:13:45.320 --> 0:13:49.360
<v Speaker 7>almost tells you that if there's an economic storyline of

0:13:49.440 --> 0:13:52.440
<v Speaker 7>maybe consumers being a little bit more cautious, or whether

0:13:52.480 --> 0:13:55.960
<v Speaker 7>it's just a competitive environment. If you can't, if Netflix

0:13:56.000 --> 0:14:00.280
<v Speaker 7>can't set the tone with big subscriber growth, maybe we're

0:14:00.520 --> 0:14:02.080
<v Speaker 7>going to be in for a bit of a media

0:14:02.160 --> 0:14:03.600
<v Speaker 7>industry reality check.

0:14:03.640 --> 0:14:05.280
<v Speaker 4>As we rolled through running season here.

0:14:05.360 --> 0:14:09.280
<v Speaker 2>Hey, John, you know these two areas the password sharing,

0:14:09.400 --> 0:14:12.520
<v Speaker 2>which they just launched in four territories Canada, New Zealand,

0:14:12.559 --> 0:14:16.360
<v Speaker 2>Spain and I forget the last one Portugal, and then

0:14:16.400 --> 0:14:19.680
<v Speaker 2>the ad tire which made its debut in November, but

0:14:20.120 --> 0:14:23.040
<v Speaker 2>we know yet to contribute a material number of subscribers.

0:14:23.040 --> 0:14:26.880
<v Speaker 2>Companies said both advertising and password sharing will only offer

0:14:26.960 --> 0:14:29.760
<v Speaker 2>modest contribute contributions excuse me, in the first quarter of

0:14:29.760 --> 0:14:31.480
<v Speaker 2>the year, but would pick up in the current period.

0:14:32.760 --> 0:14:34.920
<v Speaker 2>I guess what we want is a little bit more

0:14:34.960 --> 0:14:36.920
<v Speaker 2>of a feel on the analyst call to get an

0:14:36.960 --> 0:14:41.760
<v Speaker 2>idea of could these two areas be significant revenue drivers?

0:14:41.840 --> 0:14:44.320
<v Speaker 2>I mean, does the analyst community, do the investor community

0:14:44.400 --> 0:14:47.760
<v Speaker 2>think that they these two areas could really be drivers

0:14:47.760 --> 0:14:49.760
<v Speaker 2>for the company. And the stock has certainly popped on

0:14:49.960 --> 0:14:51.560
<v Speaker 2>the expectations of such.

0:14:52.640 --> 0:14:56.440
<v Speaker 7>Yeah, I mean they've become these add ons and again

0:14:56.640 --> 0:14:59.680
<v Speaker 7>I think this is we're talking about the maturation of

0:15:00.720 --> 0:15:04.280
<v Speaker 7>and Netflix saw the writing on the wall. It seemed like,

0:15:04.480 --> 0:15:07.760
<v Speaker 7>you know, there would not be endless streaming growth going forward,

0:15:08.040 --> 0:15:11.120
<v Speaker 7>and so start of these some of these business steps

0:15:11.120 --> 0:15:15.280
<v Speaker 7>are starting to take hold. Now on your question about

0:15:15.280 --> 0:15:19.520
<v Speaker 7>the advertising business, I don't think there are any expectations

0:15:19.520 --> 0:15:23.800
<v Speaker 7>inside the company that this can be a huge business

0:15:23.800 --> 0:15:28.840
<v Speaker 7>by comparison of just having all those traditional streaming subscribers.

0:15:28.880 --> 0:15:31.120
<v Speaker 7>But there is a general sense inside the company that

0:15:31.160 --> 0:15:33.240
<v Speaker 7>they can get to let's say ten percent of their

0:15:33.280 --> 0:15:37.640
<v Speaker 7>revenue coming from the ad tier. So you know, could

0:15:37.640 --> 0:15:40.040
<v Speaker 7>that end up being on an annual basis, like a

0:15:40.120 --> 0:15:43.920
<v Speaker 7>three billion dollar revenue business for Netflix. Most of Wall

0:15:43.920 --> 0:15:46.800
<v Speaker 7>Street things that is very much attainable. But again that's

0:15:47.320 --> 0:15:50.400
<v Speaker 7>part of the overall story. You're still constantly looking for

0:15:50.440 --> 0:15:55.280
<v Speaker 7>that growth narrative to the password sharing. You know, look,

0:15:55.320 --> 0:15:59.000
<v Speaker 7>I think that's just the reality of the transition from Hey,

0:15:59.040 --> 0:16:02.600
<v Speaker 7>we're going to not pay attention to that because we've

0:16:02.600 --> 0:16:05.760
<v Speaker 7>got so much subscriber growth too. Well, now we actually

0:16:05.840 --> 0:16:08.400
<v Speaker 7>have to make sure we've got those subscribers accounted for.

0:16:08.600 --> 0:16:12.280
<v Speaker 7>And I think, Carol, this is just going to continue

0:16:12.320 --> 0:16:15.760
<v Speaker 7>to be a transition time for Netflix. What do they

0:16:15.800 --> 0:16:20.600
<v Speaker 7>want to be I mean, aside from business developments like

0:16:20.680 --> 0:16:23.760
<v Speaker 7>an add to your or password crackdowns even with the

0:16:23.840 --> 0:16:28.240
<v Speaker 7>content itself. You know, people see these headlines about live streaming,

0:16:28.480 --> 0:16:30.800
<v Speaker 7>right fliks never used to do live streaming. They had

0:16:30.920 --> 0:16:33.120
<v Speaker 7>kind of a big snapoo with that this week. But

0:16:33.160 --> 0:16:36.480
<v Speaker 7>they're starting to live stream SAG Awards. They're sort of

0:16:36.520 --> 0:16:39.640
<v Speaker 7>testing that. They're testing partnerships with the Lake of Nike

0:16:40.200 --> 0:16:43.280
<v Speaker 7>on training videos. I think you're going to continue to

0:16:43.320 --> 0:16:47.720
<v Speaker 7>see Netflix trying to figure out some on the margin

0:16:47.880 --> 0:16:49.720
<v Speaker 7>changes under their new leadership.

0:16:49.720 --> 0:16:51.720
<v Speaker 2>You've seen it a lot with YouTube channels. We follow

0:16:51.840 --> 0:16:53.480
<v Speaker 2>my husband and I follow a couple of different people,

0:16:53.600 --> 0:16:56.400
<v Speaker 2>and like they do those live channels and it's popular.

0:16:56.480 --> 0:16:59.280
<v Speaker 2>It's fascinating to see that streaming which is all for

0:16:59.480 --> 0:17:03.080
<v Speaker 2>the most part, like taped produced series, thinking about oh wait,

0:17:03.120 --> 0:17:05.560
<v Speaker 2>we have to go back to live destination viewing, which

0:17:05.600 --> 0:17:09.240
<v Speaker 2>is oh wait, that was linear television. It's really kind

0:17:09.240 --> 0:17:12.800
<v Speaker 2>of fascinating. What's the number one ask you think on

0:17:12.840 --> 0:17:15.800
<v Speaker 2>the analys call.

0:17:15.520 --> 0:17:18.600
<v Speaker 7>How optimistic they are and actually, you know, these are

0:17:18.760 --> 0:17:21.640
<v Speaker 7>some of the more robust conference calls. We talked about

0:17:21.640 --> 0:17:26.040
<v Speaker 7>how Reday seems it has sort of moved upstairs and transition.

0:17:25.560 --> 0:17:26.920
<v Speaker 4>Out of the co CEO role.

0:17:27.560 --> 0:17:30.480
<v Speaker 7>To go and apparently buy a ski resort in Utah,

0:17:30.560 --> 0:17:33.800
<v Speaker 7>which he announced this week. But I think that the

0:17:34.320 --> 0:17:39.360
<v Speaker 7>management there, Greg Peters, Ted Sarandos, I mean I think

0:17:39.359 --> 0:17:40.840
<v Speaker 7>they can I can't think they can.

0:17:40.720 --> 0:17:41.560
<v Speaker 4>Help the tone.

0:17:41.680 --> 0:17:44.560
<v Speaker 7>But the numbers themselves tell us that maybe the storyline

0:17:44.560 --> 0:17:46.920
<v Speaker 7>has changed, especially after run of the tech stocks we've

0:17:46.920 --> 0:17:47.480
<v Speaker 7>seen this year.

0:17:47.520 --> 0:17:49.760
<v Speaker 2>All right, John, always good to check in with you,

0:17:49.840 --> 0:17:52.520
<v Speaker 2>and just fyi everybody. Netflix still down, but only down

0:17:52.560 --> 0:17:54.560
<v Speaker 2>about three point four percent, so no longer like a

0:17:54.600 --> 0:17:57.879
<v Speaker 2>ten percent decline which we saw right after the number,

0:17:58.000 --> 0:18:00.520
<v Speaker 2>So you know, investors kind of settling in maybe reading

0:18:00.560 --> 0:18:03.239
<v Speaker 2>through more of the texture, if you will, of that

0:18:03.359 --> 0:18:06.880
<v Speaker 2>quarterly earning's release. John Erlikman, thank you, Bloomberg Markets anchor

0:18:06.920 --> 0:18:11.000
<v Speaker 2>on Bloomberg TV, joining us via zoom from Toronto. So yeah,

0:18:11.040 --> 0:18:12.840
<v Speaker 2>I mean, this is what's interesting about Ernie. You really

0:18:12.840 --> 0:18:14.280
<v Speaker 2>got to go through all the details, right.

0:18:14.280 --> 0:18:16.879
<v Speaker 5>And what John alluded to at the beginning when we

0:18:16.880 --> 0:18:18.920
<v Speaker 5>were talking to him, the pain that Netflix went through

0:18:18.920 --> 0:18:20.280
<v Speaker 5>at the beginning of last year. But if you look

0:18:20.280 --> 0:18:22.600
<v Speaker 5>at stock for the past twelve months, down just one

0:18:22.640 --> 0:18:24.879
<v Speaker 5>percent before we got today's numbers.

0:18:24.640 --> 0:18:29.560
<v Speaker 2>Carol, Yeah, exactly, So something to keep in mind you're.

0:18:29.400 --> 0:18:33.000
<v Speaker 1>Listening to the Bloomberg Business Week podcast. Catch us live

0:18:33.080 --> 0:18:36.880
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0:18:36.960 --> 0:18:40.240
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0:18:40.359 --> 0:18:43.440
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0:18:43.880 --> 0:18:46.679
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0:18:48.359 --> 0:18:50.760
<v Speaker 2>It does seem like the stress is starting to ease,

0:18:51.600 --> 0:18:54.119
<v Speaker 2>certainly how investors see it based on what we are

0:18:54.119 --> 0:18:57.679
<v Speaker 2>getting from the big banks and more importantly from those regionals.

0:18:57.720 --> 0:19:00.399
<v Speaker 2>And our next guest knows a lot about stress, writes

0:19:00.440 --> 0:19:03.760
<v Speaker 2>about it in a new book. Karen Dylan is editorial

0:19:03.840 --> 0:19:07.399
<v Speaker 2>director at the Family Business Advisory firm Banyan Global Family

0:19:07.440 --> 0:19:10.800
<v Speaker 2>Business Advisor's former editor of the Harvard Business Review. She

0:19:10.840 --> 0:19:12.959
<v Speaker 2>just got a new book out, The micro Stress Effect,

0:19:13.040 --> 0:19:15.439
<v Speaker 2>How little things pile up and become big problems and

0:19:15.440 --> 0:19:19.000
<v Speaker 2>what to do about it. She is on Zoom in Boston. Karen,

0:19:19.000 --> 0:19:22.200
<v Speaker 2>I feel like it's a timely topic, considering the stress

0:19:22.200 --> 0:19:25.679
<v Speaker 2>that seems to come at investors on a daily basis.

0:19:26.119 --> 0:19:28.320
<v Speaker 2>Having said that, tell us about the book, what are

0:19:28.359 --> 0:19:31.520
<v Speaker 2>micro stresses and some of the research you did specifically

0:19:31.560 --> 0:19:33.520
<v Speaker 2>for to figure it out? And what we can do

0:19:33.600 --> 0:19:34.239
<v Speaker 2>to manage it.

0:19:36.240 --> 0:19:37.760
<v Speaker 6>Sure, I'm glad to be here.

0:19:37.840 --> 0:19:40.080
<v Speaker 8>So even just listening to the pre evil before it

0:19:40.119 --> 0:19:42.479
<v Speaker 8>came on is stressful. There's no question we're all kind

0:19:42.520 --> 0:19:44.520
<v Speaker 8>of swimming in the sea of stress all the time.

0:19:44.800 --> 0:19:46.840
<v Speaker 8>But what we're talking about with our research is something

0:19:46.840 --> 0:19:47.880
<v Speaker 8>a little bit different that.

0:19:47.880 --> 0:19:50.000
<v Speaker 6>Most of us don't notice. We don't even know how

0:19:50.000 --> 0:19:50.679
<v Speaker 6>to talk about it.

0:19:50.720 --> 0:19:53.120
<v Speaker 8>We know how to talk about stock market stress and

0:19:53.480 --> 0:19:55.359
<v Speaker 8>political stress and things like that, but we don't know

0:19:55.359 --> 0:19:58.680
<v Speaker 8>how to talk about what we ended up calling micro stress.

0:19:59.040 --> 0:20:01.399
<v Speaker 8>And this is a pick thing that we observed in

0:20:01.480 --> 0:20:05.320
<v Speaker 8>research with high performers were Originally the research was intended

0:20:05.359 --> 0:20:07.000
<v Speaker 8>to look at what did they do better than the

0:20:07.040 --> 0:20:09.320
<v Speaker 8>rest of us, How do they work more effectively with

0:20:09.400 --> 0:20:12.919
<v Speaker 8>other people? How do they maintain their status as high performers?

0:20:13.200 --> 0:20:16.600
<v Speaker 8>And we interviewed three hundred men and women equal numbers

0:20:16.920 --> 0:20:19.920
<v Speaker 8>who were dubbed high performers by their organizations to try

0:20:19.920 --> 0:20:22.760
<v Speaker 8>to get at those best practices. And then early on

0:20:22.800 --> 0:20:25.240
<v Speaker 8>in our research we started to notice, after a bit

0:20:25.280 --> 0:20:28.159
<v Speaker 8>of the veneer had gone off in the interview, that

0:20:28.240 --> 0:20:31.280
<v Speaker 8>little by little became clear that even these high performers

0:20:31.440 --> 0:20:34.040
<v Speaker 8>were kind of barely hanging on. They were swimming on

0:20:34.119 --> 0:20:37.359
<v Speaker 8>what we ultimately called microstress, things that are so brief

0:20:37.440 --> 0:20:40.160
<v Speaker 8>and so invisible to us that we barely notice them.

0:20:40.400 --> 0:20:42.399
<v Speaker 8>What cumulatively they add up?

0:20:42.640 --> 0:20:45.119
<v Speaker 5>And what specifically, can you give us a few examples,

0:20:45.119 --> 0:20:47.080
<v Speaker 5>how does that sort of permeate in our day to

0:20:47.119 --> 0:20:49.480
<v Speaker 5>day lives? Like what specifically would be an example of

0:20:49.480 --> 0:20:50.280
<v Speaker 5>a microstress?

0:20:51.640 --> 0:20:53.520
<v Speaker 8>Sure, so we put them in three buckets, and I

0:20:53.520 --> 0:20:55.480
<v Speaker 8>think you'll relate to all three of them, but in

0:20:55.520 --> 0:20:59.320
<v Speaker 8>three categories. One are micro stresses that drain your personal capacity,

0:20:59.520 --> 0:21:01.880
<v Speaker 8>your ability to get things done. And a really good

0:21:01.880 --> 0:21:05.840
<v Speaker 8>example of that is having unpredictable behavior from a person

0:21:05.880 --> 0:21:08.440
<v Speaker 8>in authority, a boss or a manager, not a toxic

0:21:08.520 --> 0:21:11.080
<v Speaker 8>boss or a jerk, but maybe a boss who stops

0:21:11.080 --> 0:21:13.240
<v Speaker 8>you in the hallway to say he's got a new idea,

0:21:13.560 --> 0:21:15.399
<v Speaker 8>and are you supposed to be pursuing that or not?

0:21:15.480 --> 0:21:16.960
<v Speaker 6>Are you putting other things aside or not?

0:21:17.119 --> 0:21:20.119
<v Speaker 8>Just not one hundred percent always knowing what's expected of

0:21:20.160 --> 0:21:23.640
<v Speaker 8>you from the person above, or having a surgeon responsibility

0:21:23.640 --> 0:21:26.919
<v Speaker 8>as a worker at home. That's category one personal capacity

0:21:27.480 --> 0:21:29.520
<v Speaker 8>or another one that I think most of us experience

0:21:29.560 --> 0:21:33.199
<v Speaker 8>in some way or microstresses that deplete our emotional reserve. So,

0:21:33.359 --> 0:21:36.639
<v Speaker 8>for example, if you work around people who are just

0:21:36.680 --> 0:21:39.280
<v Speaker 8>always stressed out, even if you're not stressed out, the

0:21:39.400 --> 0:21:42.600
<v Speaker 8>secondhand stress from them is going to affect you. Micro

0:21:42.680 --> 0:21:45.520
<v Speaker 8>Stresses are things that happen in our interactions with other

0:21:45.560 --> 0:21:48.199
<v Speaker 8>people that are so brief and so baked into our

0:21:48.320 --> 0:21:51.560
<v Speaker 8>day that you literally barely remember them. And individually they're

0:21:51.560 --> 0:21:54.480
<v Speaker 8>all manageable, but what happens is they layer up over

0:21:54.520 --> 0:21:56.760
<v Speaker 8>the day, over the week, over the month, and they

0:21:56.800 --> 0:21:58.280
<v Speaker 8>actually take a really big toll on you.

0:21:58.600 --> 0:22:01.240
<v Speaker 2>All Right, So media can be a very stressful world

0:22:01.240 --> 0:22:03.919
<v Speaker 2>because it's just the way it is. So what is

0:22:03.960 --> 0:22:06.639
<v Speaker 2>the connection? And some of us thrive on it? I

0:22:06.720 --> 0:22:08.520
<v Speaker 2>mean I kind of like it when it's fast and furious,

0:22:08.600 --> 0:22:10.640
<v Speaker 2>but not that isn't always the case, and you can't

0:22:10.680 --> 0:22:12.399
<v Speaker 2>do that for one hundred percent of the time otherwise

0:22:12.440 --> 0:22:14.399
<v Speaker 2>you're just going to kind of pass out. But having

0:22:14.440 --> 0:22:18.840
<v Speaker 2>said that, what is the relationship between stress and productivity?

0:22:18.840 --> 0:22:22.000
<v Speaker 2>There's got to be probably this interesting balance, right, because

0:22:22.040 --> 0:22:23.960
<v Speaker 2>a little bit of stress gets the adrenaline going and

0:22:24.000 --> 0:22:27.240
<v Speaker 2>can kind of, in some ways maybe make you more productive.

0:22:27.320 --> 0:22:29.520
<v Speaker 2>But I'm guessing too much and that's not good.

0:22:31.080 --> 0:22:32.800
<v Speaker 6>Too much of that is definitely not good.

0:22:32.800 --> 0:22:35.000
<v Speaker 8>And again we started with high performers, So we started

0:22:35.000 --> 0:22:38.080
<v Speaker 8>with people who were already seen why we seen as being.

0:22:37.920 --> 0:22:39.120
<v Speaker 6>Better than the rest of us.

0:22:39.320 --> 0:22:41.000
<v Speaker 8>They were just really good at doing a lot of work,

0:22:41.000 --> 0:22:43.960
<v Speaker 8>being effective collaborators. But as we started to peel back,

0:22:44.000 --> 0:22:47.239
<v Speaker 8>we realized even they really were almost overwhelmed by all

0:22:47.280 --> 0:22:49.920
<v Speaker 8>this warm micro stress, to the point where it potentially

0:22:50.040 --> 0:22:53.200
<v Speaker 8>threatened to derail their careers. What happens is you're always

0:22:53.240 --> 0:22:55.720
<v Speaker 8>in reactive mode. You're always you know, you open your

0:22:55.720 --> 0:22:57.840
<v Speaker 8>email first thing in the morning, and you're already feeling

0:22:57.880 --> 0:23:00.560
<v Speaker 8>overwhelmed and behind as opposed to any of us trying

0:23:00.600 --> 0:23:02.920
<v Speaker 8>to shape and plant our day, and we're thinking about

0:23:02.960 --> 0:23:05.480
<v Speaker 8>which balls can we get away with dropping, rather than

0:23:05.720 --> 0:23:07.160
<v Speaker 8>how do I do my best work today?

0:23:07.240 --> 0:23:08.800
<v Speaker 6>Or what do I actually want to focus on today?

0:23:08.800 --> 0:23:11.359
<v Speaker 8>It just it makes you in a reactive posture rather

0:23:11.400 --> 0:23:13.919
<v Speaker 8>than a proactive posture, and none of us do our

0:23:13.960 --> 0:23:16.399
<v Speaker 8>best work when we're always trying to figure out again

0:23:16.480 --> 0:23:18.080
<v Speaker 8>which balls can we get away with dropping?

0:23:18.119 --> 0:23:19.160
<v Speaker 6>Because we can't do it all.

0:23:19.440 --> 0:23:23.320
<v Speaker 5>What are the financial repercussions for letting micro stresses add up.

0:23:25.160 --> 0:23:25.400
<v Speaker 4>Well?

0:23:25.800 --> 0:23:29.680
<v Speaker 8>Financially, it's it's not good for who you are. You're

0:23:29.720 --> 0:23:32.360
<v Speaker 8>not going to be at your best, most effective you are.

0:23:32.560 --> 0:23:35.359
<v Speaker 8>Potentially even one of the micro stresses that we identified

0:23:35.440 --> 0:23:38.000
<v Speaker 8>is pressure to pursue goals that are out of sync

0:23:38.040 --> 0:23:39.280
<v Speaker 8>with your personal value.

0:23:39.200 --> 0:23:41.840
<v Speaker 5>And also career wise work that could be a detriment

0:23:41.960 --> 0:23:42.680
<v Speaker 5>correct career.

0:23:42.480 --> 0:23:45.960
<v Speaker 8>Correct it could indeed, if you are always sort of

0:23:46.000 --> 0:23:49.320
<v Speaker 8>pursuing what someone else's version of success is and it's

0:23:49.359 --> 0:23:51.640
<v Speaker 8>never feeling comfortable to you, or it's never who you are,

0:23:52.080 --> 0:23:53.240
<v Speaker 8>you're never going to thrive.

0:23:53.200 --> 0:23:54.879
<v Speaker 6>Really in the long run. You may you may have

0:23:54.920 --> 0:23:57.000
<v Speaker 6>a good run five or seven years, but at some.

0:23:56.960 --> 0:23:59.080
<v Speaker 8>Point you're going to realize this is not who I

0:23:59.119 --> 0:24:01.000
<v Speaker 8>want to be. So you're not going to be your best.

0:24:01.320 --> 0:24:03.600
<v Speaker 8>You're probably career wise not going to thrive in the

0:24:03.640 --> 0:24:04.600
<v Speaker 8>way that you want to thrive.

0:24:04.800 --> 0:24:05.440
<v Speaker 6>And the most.

0:24:05.240 --> 0:24:07.480
<v Speaker 8>Importantly of all, you're going to you're not gonna like

0:24:07.520 --> 0:24:09.560
<v Speaker 8>who you are. Eventually, it's going to kind of either way,

0:24:09.720 --> 0:24:11.840
<v Speaker 8>you just small ways. So none of us are our

0:24:11.840 --> 0:24:14.320
<v Speaker 8>best when microstress is overwhelming us.

0:24:14.320 --> 0:24:16.440
<v Speaker 2>And I like Karen, how you make the distinction, certainly

0:24:16.480 --> 0:24:20.520
<v Speaker 2>the book between stress, microstress and secondary micro stresses thirty seconds.

0:24:20.800 --> 0:24:22.640
<v Speaker 2>One piece of advice for those folks who are listening

0:24:22.680 --> 0:24:23.040
<v Speaker 2>to this.

0:24:25.200 --> 0:24:27.879
<v Speaker 8>One piece of advice is to actually stop and have

0:24:28.119 --> 0:24:31.280
<v Speaker 8>five minute clarification conversations with the people that you work with.

0:24:31.400 --> 0:24:32.399
<v Speaker 6>So many of us were.

0:24:32.240 --> 0:24:35.359
<v Speaker 8>Moving so quickly, and we're working with ever shifting cast

0:24:35.359 --> 0:24:37.480
<v Speaker 8>of characters, people who are new at colleagues and things

0:24:37.520 --> 0:24:39.320
<v Speaker 8>like that. We don't know how to work together very well,

0:24:39.480 --> 0:24:41.359
<v Speaker 8>and we assume things, and that can lead to all

0:24:41.440 --> 0:24:44.800
<v Speaker 8>kinds of micro stresses, just misalignments or small performance misses.

0:24:44.920 --> 0:24:45.880
<v Speaker 6>So literally take.

0:24:45.720 --> 0:24:49.480
<v Speaker 8>Five minutes at the end of meetings and just clarify who, when,

0:24:49.840 --> 0:24:52.479
<v Speaker 8>what's the next step. Don't that simple step can make

0:24:52.520 --> 0:24:54.200
<v Speaker 8>a really big difference in your work.

0:24:54.240 --> 0:24:56.359
<v Speaker 2>Michrostrogical. We do that sometimes in the newsroom where you're

0:24:56.359 --> 0:24:58.840
<v Speaker 2>having conflicting stories. It's like, hey, everybody, get over here,

0:24:58.880 --> 0:25:02.399
<v Speaker 2>and for three minutes, like set everything straight. Karen Thanks

0:25:02.400 --> 0:25:06.320
<v Speaker 2>in a very timely conversation. Karen Dylan, editorial director and

0:25:06.760 --> 0:25:08.560
<v Speaker 2>the micro stress Effect her book.

0:25:09.760 --> 0:25:14.119
<v Speaker 1>This is Bloomberg Business. Wait inside from the reporters and

0:25:14.320 --> 0:25:17.879
<v Speaker 1>editors who bring you America's most trusted business magazine plus

0:25:17.960 --> 0:25:22.080
<v Speaker 1>global business finance and tech news. The Bloomberg Business Week

0:25:22.119 --> 0:25:35.080
<v Speaker 1>podcast with Karen Messer and Tim Stenebek from Bloomberg Radio.

0:25:35.640 --> 0:25:39.480
<v Speaker 2>Yeah, thank you generative AI and chat ChiPT You've given

0:25:39.560 --> 0:25:42.639
<v Speaker 2>us all a lot to talk about and to talk to.

0:25:42.920 --> 0:25:45.080
<v Speaker 2>I actould say I was actually playing with it this weekend.

0:25:45.720 --> 0:25:49.639
<v Speaker 2>The world definitely all in on AI, specifically generative artificial intelligence,

0:25:49.680 --> 0:25:52.960
<v Speaker 2>you know, AI algorithms that generate new outputs based on

0:25:53.000 --> 0:25:55.240
<v Speaker 2>the data that they have been trained on. That's being

0:25:55.320 --> 0:25:59.280
<v Speaker 2>used to come up with meal plans, create art, write essays,

0:25:59.320 --> 0:26:01.720
<v Speaker 2>term papers, future robots, and as during the upcoming issue

0:26:01.720 --> 0:26:05.040
<v Speaker 2>of Bloomberg BusinessWeek points out for therapy as well. So

0:26:05.119 --> 0:26:07.240
<v Speaker 2>let's get to it. This story in the new issue

0:26:07.520 --> 0:26:09.359
<v Speaker 2>that will be on newstands later on this week, already

0:26:09.359 --> 0:26:12.320
<v Speaker 2>online at Bloomberg dot com, slash BusinessWeek on the Bloomberg terminal.

0:26:12.640 --> 0:26:15.400
<v Speaker 2>Let's get into it. Let's talk therapy entering the era

0:26:15.440 --> 0:26:18.280
<v Speaker 2>of chatbots with us. Is Bloomberg News AI reporter Rachel

0:26:18.320 --> 0:26:21.440
<v Speaker 2>Metz here in studio along with the editor of Bloomberg BusinessWeek,

0:26:21.520 --> 0:26:24.000
<v Speaker 2>Joel Weber. It is every Are you real? Are you

0:26:24.040 --> 0:26:26.320
<v Speaker 2>a chat gp teape? I am?

0:26:26.520 --> 0:26:30.080
<v Speaker 9>I am real as far as I know. But the

0:26:30.160 --> 0:26:34.560
<v Speaker 9>conversations that people are having with chet tvt's also real.

0:26:35.760 --> 0:26:40.240
<v Speaker 9>Would you like that transition? The conversations are real, and

0:26:40.320 --> 0:26:43.360
<v Speaker 9>you can ask it anything, and people are and they're

0:26:43.400 --> 0:26:47.000
<v Speaker 9>making all kinds of stuff, and you know, there's all

0:26:47.119 --> 0:26:50.440
<v Speaker 9>kinds of questions about anxieties of what's going to happen

0:26:50.480 --> 0:26:53.000
<v Speaker 9>to jobs and all kinds of other stuff. But the

0:26:53.040 --> 0:26:55.679
<v Speaker 9>thing that I was really drawn to with Rachel's story,

0:26:55.720 --> 0:26:58.639
<v Speaker 9>which reminded me a little bit of a Ellen Hewitt

0:26:58.680 --> 0:27:01.200
<v Speaker 9>story that we did not so long go, also a

0:27:01.240 --> 0:27:07.200
<v Speaker 9>little bit about what where AI can go unexpected places?

0:27:07.280 --> 0:27:10.200
<v Speaker 9>This was one of those as well. So what's happening

0:27:10.200 --> 0:27:14.280
<v Speaker 9>because people are actually starting to use it in some

0:27:14.520 --> 0:27:16.760
<v Speaker 9>very deeply personal places.

0:27:17.240 --> 0:27:20.560
<v Speaker 10>Yeah, No, it's it's been interesting to watch people are

0:27:20.560 --> 0:27:23.640
<v Speaker 10>finding all kinds of ways to use chat GPT, And

0:27:23.920 --> 0:27:26.080
<v Speaker 10>one thing that some people are trying out right now

0:27:26.280 --> 0:27:29.760
<v Speaker 10>that I started to notice is using it not really

0:27:29.760 --> 0:27:32.760
<v Speaker 10>I haven't seen people really replacing therapy with it, like

0:27:32.760 --> 0:27:35.480
<v Speaker 10>if you're seeing a human therapist, but using it to

0:27:35.560 --> 0:27:39.880
<v Speaker 10>solve occasional problems, or realizing that for them there's something

0:27:39.920 --> 0:27:41.760
<v Speaker 10>about it that seems to be helpful to them, at

0:27:41.840 --> 0:27:43.320
<v Speaker 10>least with the people that I spoke to, which I

0:27:43.359 --> 0:27:44.080
<v Speaker 10>thought was really neat.

0:27:44.600 --> 0:27:50.120
<v Speaker 9>So was this an intended use for what chat gpt

0:27:48.320 --> 0:27:49.080
<v Speaker 9>do this?

0:27:50.480 --> 0:27:52.159
<v Speaker 10>This is not an intended use case. It is a

0:27:52.240 --> 0:27:57.439
<v Speaker 10>general use chatbot. It is not meant for that specifically.

0:27:57.440 --> 0:27:59.680
<v Speaker 10>And in fact, if you look at open aies terms

0:27:59.720 --> 0:28:03.359
<v Speaker 10>of us, they don't want it to be used for

0:28:04.119 --> 0:28:07.119
<v Speaker 10>very specific medical use cases like diagnosing an illness or

0:28:07.160 --> 0:28:07.760
<v Speaker 10>something like that.

0:28:09.280 --> 0:28:11.480
<v Speaker 2>Shame on them. I mean Google doctor, I mean, like

0:28:11.520 --> 0:28:13.320
<v Speaker 2>how many times writes up that goes up? I mean

0:28:13.400 --> 0:28:15.840
<v Speaker 2>they know people are gonna go all these crazy places.

0:28:15.520 --> 0:28:18.480
<v Speaker 10>Right, I mean I think that if you're able to

0:28:18.680 --> 0:28:22.000
<v Speaker 10>use it and find it helpful, that I think that

0:28:22.000 --> 0:28:25.200
<v Speaker 10>that's interesting and that I was actually a little surprised

0:28:25.240 --> 0:28:27.560
<v Speaker 10>because initially my first thought was this sounds like a

0:28:27.640 --> 0:28:31.240
<v Speaker 10>really scary, bad idea, But then as I talked to people,

0:28:32.240 --> 0:28:35.840
<v Speaker 10>it was it's much more nuanced than that did help them. Yeah,

0:28:35.880 --> 0:28:37.960
<v Speaker 10>in a couple cases, although there was one. There's one

0:28:37.960 --> 0:28:40.400
<v Speaker 10>person I spoke to who said, you know, it was

0:28:40.440 --> 0:28:44.360
<v Speaker 10>like saying the right things, but I just couldn't get

0:28:44.360 --> 0:28:46.800
<v Speaker 10>into it because I knew I wasn't talking to a person.

0:28:47.200 --> 0:28:49.560
<v Speaker 10>But I also think it's really important to not think

0:28:49.600 --> 0:28:52.840
<v Speaker 10>of it as an either or situation, Like it's not

0:28:52.920 --> 0:28:55.840
<v Speaker 10>like you might one day have a human therapist or

0:28:55.880 --> 0:28:59.680
<v Speaker 10>a robotherapist. It's possible this could be used, as Margaret

0:28:59.720 --> 0:29:02.240
<v Speaker 10>Mitchell what hockey Face said, Perhaps it could be used

0:29:02.280 --> 0:29:05.040
<v Speaker 10>to help train people that answer phones for crisis lines

0:29:05.480 --> 0:29:09.120
<v Speaker 10>that could help them to help more people at a time,

0:29:09.200 --> 0:29:11.720
<v Speaker 10>And those kinds of people are vital and you could

0:29:11.800 --> 0:29:13.480
<v Speaker 10>totally use more of them. This could be a way

0:29:13.520 --> 0:29:15.960
<v Speaker 10>to make them more able to help people, which I

0:29:16.000 --> 0:29:16.680
<v Speaker 10>thought was kind of cool.

0:29:16.880 --> 0:29:20.040
<v Speaker 9>It feels like the there's like some empathy. It's like

0:29:20.080 --> 0:29:22.160
<v Speaker 9>built into this of like I know what you're going through.

0:29:22.280 --> 0:29:26.320
<v Speaker 9>Like there's got to be like a chat GBT training

0:29:26.360 --> 0:29:28.880
<v Speaker 9>course in terms of just like making sure people feel

0:29:28.920 --> 0:29:31.800
<v Speaker 9>like they're being heard. Right, But so, what did you

0:29:31.840 --> 0:29:34.040
<v Speaker 9>hear from the people that you spoke to, and like

0:29:34.200 --> 0:29:37.040
<v Speaker 9>what led them to hear And are they doing it

0:29:37.080 --> 0:29:40.840
<v Speaker 9>instead of humans or in addition to real therapy.

0:29:40.640 --> 0:29:43.240
<v Speaker 10>Not instead of the One of the people that I

0:29:43.240 --> 0:29:46.200
<v Speaker 10>spoke to, Milo has a therapist, happened to miss a

0:29:46.240 --> 0:29:49.880
<v Speaker 10>therapy appointment and had seen somebody on Twitter saying it

0:29:50.000 --> 0:29:52.480
<v Speaker 10>was really helpful to them, and Milo was like, hey,

0:29:52.520 --> 0:29:55.200
<v Speaker 10>I'll just give this a try, and then found it

0:29:55.240 --> 0:29:59.440
<v Speaker 10>really helpful and has used it repeatedly since then. Not

0:29:59.480 --> 0:30:01.040
<v Speaker 10>everybody will I feel that way, obviously.

0:30:01.200 --> 0:30:02.640
<v Speaker 2>I love in your story that you talked to us

0:30:02.880 --> 0:30:05.280
<v Speaker 2>tell us about that one of the earliest chatbots, Eliza. Right,

0:30:05.320 --> 0:30:07.360
<v Speaker 2>so this takes us back to what the nineteen sixties.

0:30:07.760 --> 0:30:09.160
<v Speaker 9>This was new to me. I did not have this.

0:30:09.280 --> 0:30:09.640
<v Speaker 6>I didn't know.

0:30:09.640 --> 0:30:14.440
<v Speaker 10>Oh so Eliza was a supposed to mimic like a

0:30:14.560 --> 0:30:17.880
<v Speaker 10>Rogerian style therapy, which is like, I guess, very like

0:30:18.360 --> 0:30:21.560
<v Speaker 10>self reflective you know who, why do you think that?

0:30:21.720 --> 0:30:25.400
<v Speaker 10>Or you know those kinds of like reflective questions. That

0:30:25.520 --> 0:30:29.560
<v Speaker 10>was a much much simpler style of chatbot, which you

0:30:29.560 --> 0:30:33.320
<v Speaker 10>would you would say something and it would be looking

0:30:33.320 --> 0:30:35.320
<v Speaker 10>at or you would type something in that case and

0:30:35.400 --> 0:30:38.120
<v Speaker 10>it would be looking specifically for keywords that could be

0:30:38.200 --> 0:30:41.480
<v Speaker 10>tied to certain types of answers.

0:30:41.840 --> 0:30:43.880
<v Speaker 2>You know what makes me That's the other thing. Like

0:30:44.040 --> 0:30:46.280
<v Speaker 2>nineteen sixties, we keep thinking this chatbot is kind of

0:30:46.360 --> 0:30:48.960
<v Speaker 2>this whole big new thing, and I keep googling and

0:30:49.000 --> 0:30:51.840
<v Speaker 2>trying like origins of artificial intelligence, like I want to

0:30:51.880 --> 0:30:54.720
<v Speaker 2>know more because I'm trying to Rachel get my head around, like,

0:30:54.720 --> 0:30:56.840
<v Speaker 2>why all of a sudden, are we just this is

0:30:56.880 --> 0:30:59.920
<v Speaker 2>such an explosion, right, Because it doesn't sound like it's

0:31:00.120 --> 0:31:00.840
<v Speaker 2>totally new.

0:31:00.960 --> 0:31:03.720
<v Speaker 10>It's not new. I think some of what's new is

0:31:04.120 --> 0:31:06.840
<v Speaker 10>the style. You can think of AI as having like

0:31:06.880 --> 0:31:09.720
<v Speaker 10>different kinds of architecture. I think of it, and architecture

0:31:09.760 --> 0:31:11.280
<v Speaker 10>is a word you'll see a lot in a lot

0:31:11.320 --> 0:31:14.560
<v Speaker 10>of academic papers. So architecture with buildings, there's all different

0:31:14.600 --> 0:31:17.480
<v Speaker 10>kinds of buildings, right. Similarly, in AI, you have different

0:31:17.480 --> 0:31:21.240
<v Speaker 10>styles of putting these AI systems together, and this generative

0:31:22.000 --> 0:31:25.440
<v Speaker 10>style is newer, and being able to do that is

0:31:25.720 --> 0:31:28.320
<v Speaker 10>a newer thing, and it gets us closer to it

0:31:28.360 --> 0:31:31.800
<v Speaker 10>makes it makes these systems better at mimicking human speech, right,

0:31:31.920 --> 0:31:34.440
<v Speaker 10>But it doesn't it's not actually, you know, it isn't

0:31:34.520 --> 0:31:38.120
<v Speaker 10>human in any way. It's essentially using math in a

0:31:38.160 --> 0:31:41.040
<v Speaker 10>way that gets you to look at it the answer

0:31:41.080 --> 0:31:43.160
<v Speaker 10>and say, oh, you know that looks like something a

0:31:43.160 --> 0:31:44.120
<v Speaker 10>person could say.

0:31:44.000 --> 0:31:44.520
<v Speaker 4>Kind of close.

0:31:44.600 --> 0:31:47.080
<v Speaker 2>Yeah, man, that's the creepy part of it.

0:31:47.320 --> 0:31:50.080
<v Speaker 9>Another thing that I learned in this story is that

0:31:50.120 --> 0:31:54.200
<v Speaker 9>there are chatbots that focus on mental health, yes, as

0:31:54.200 --> 0:31:58.720
<v Speaker 9>opposed to chat gibt that can can do whatever it does, right,

0:31:58.760 --> 0:32:02.959
<v Speaker 9>but so wobot weissa, what are those and what are

0:32:02.960 --> 0:32:03.320
<v Speaker 9>they doing?

0:32:03.880 --> 0:32:07.040
<v Speaker 10>Those do exist, they've been out for a while in

0:32:07.040 --> 0:32:11.480
<v Speaker 10>this space, and people can pay for them, and that

0:32:11.560 --> 0:32:15.920
<v Speaker 10>those can potentially also be helpful to people. So it

0:32:16.000 --> 0:32:18.160
<v Speaker 10>is kind of interesting, right that those things already exist,

0:32:18.240 --> 0:32:20.280
<v Speaker 10>but people are saying, let me try this. I mean,

0:32:20.280 --> 0:32:23.280
<v Speaker 10>this is very easy to access. It's exciting in many

0:32:23.280 --> 0:32:26.040
<v Speaker 10>ways because it's new. So I think it's going to

0:32:26.080 --> 0:32:28.000
<v Speaker 10>be like a lot of different applications of chat cheept

0:32:28.160 --> 0:32:30.760
<v Speaker 10>where we kind of have to see how the dust

0:32:30.800 --> 0:32:33.800
<v Speaker 10>settles and if people actually are using it for this

0:32:33.840 --> 0:32:34.440
<v Speaker 10>and other things.

0:32:35.160 --> 0:32:37.280
<v Speaker 5>Carol brought up the nineteen sixties. It made me also

0:32:37.280 --> 0:32:40.120
<v Speaker 5>think of in the nineteen nineties with ask Jeeves, which

0:32:40.240 --> 0:32:43.080
<v Speaker 5>was obviously right, people kind of forget about that.

0:32:43.000 --> 0:32:45.040
<v Speaker 2>But it was sort of this whole don't forget about it.

0:32:45.040 --> 0:32:48.680
<v Speaker 5>People don't forget about Jeeves. But interesting during these other

0:32:49.000 --> 0:32:51.680
<v Speaker 5>time periods where we've seen different things like this, when

0:32:51.760 --> 0:32:54.560
<v Speaker 5>we think this is like something very new but interesting,

0:32:54.600 --> 0:32:57.920
<v Speaker 5>that we've kind of had different irradiations in a way,

0:32:58.000 --> 0:33:00.400
<v Speaker 5>and in the past, Yeah, I mean, I think people

0:33:00.560 --> 0:33:07.200
<v Speaker 5>like to personalize and anthropomorphize technology and sometimes sometimes that

0:33:07.240 --> 0:33:08.520
<v Speaker 5>can be totally fine.

0:33:09.280 --> 0:33:12.320
<v Speaker 10>Sometimes that can go a little bit awry, like Rumba

0:33:12.400 --> 0:33:14.960
<v Speaker 10>for instance, Like people treat them a little bit like

0:33:14.960 --> 0:33:16.560
<v Speaker 10>pets perhaps, you know, and that's.

0:33:16.640 --> 0:33:24.960
<v Speaker 2>Obviously it is a pet part of the family. I

0:33:25.000 --> 0:33:27.080
<v Speaker 2>have one that has a name, so you we're not

0:33:27.120 --> 0:33:30.120
<v Speaker 2>all crazy, no, But it is interesting about you know this.

0:33:30.520 --> 0:33:34.080
<v Speaker 2>I am curious how effective or what are the medical community,

0:33:34.120 --> 0:33:36.240
<v Speaker 2>like are people weighing in about because I just think

0:33:36.320 --> 0:33:40.120
<v Speaker 2>that there's some very serious illnesses out there and I'm

0:33:40.160 --> 0:33:42.880
<v Speaker 2>just wondering, can a chat g BT pick up some

0:33:42.880 --> 0:33:45.720
<v Speaker 2>of the nuances of somebody who obviously needs some serious help.

0:33:46.280 --> 0:33:50.640
<v Speaker 10>I talked to a professor who is also a clinical psychologist.

0:33:51.760 --> 0:33:55.320
<v Speaker 10>He can he can imagine a future in which this

0:33:55.440 --> 0:33:59.560
<v Speaker 10>might be useful for helping people along with human therapy.

0:34:00.600 --> 0:34:03.360
<v Speaker 10>Right now, he was like, no, no, like this. You know,

0:34:03.400 --> 0:34:06.720
<v Speaker 10>this is not for somebody who's got a serious mental

0:34:06.760 --> 0:34:10.320
<v Speaker 10>health condition. This is not the way to go like solo.

0:34:10.680 --> 0:34:13.640
<v Speaker 10>But he also but at the same time he was

0:34:13.680 --> 0:34:17.200
<v Speaker 10>saying that he could understand why people would find it

0:34:17.239 --> 0:34:19.560
<v Speaker 10>helpful to talk to or at least or pleasant. I

0:34:19.560 --> 0:34:20.320
<v Speaker 10>can't remember.

0:34:20.040 --> 0:34:23.040
<v Speaker 2>Exactly what he's working right potentially.

0:34:23.000 --> 0:34:25.759
<v Speaker 10>Well unless, I mean it depends. If you want to

0:34:25.800 --> 0:34:29.279
<v Speaker 10>talk to a chatbot like GPT four, you're gonna have

0:34:29.280 --> 0:34:29.680
<v Speaker 10>to pay for it.

0:34:29.719 --> 0:34:32.560
<v Speaker 2>And that's true, right business.

0:34:35.000 --> 0:34:38.480
<v Speaker 9>So are you only curious about some of the privacy

0:34:38.480 --> 0:34:42.840
<v Speaker 9>implications here, because I would think if I were letting

0:34:43.080 --> 0:34:45.719
<v Speaker 9>my chatbot talk to people, I'd want to know how

0:34:45.760 --> 0:34:48.640
<v Speaker 9>that chatbot was doing in a situation like this. And

0:34:48.640 --> 0:34:51.160
<v Speaker 9>and also you know, obviously that opens up a can

0:34:51.200 --> 0:34:53.719
<v Speaker 9>of worms for what the privacy implications looks like on

0:34:53.760 --> 0:34:56.319
<v Speaker 9>the AI front as well. So has anybody been talking

0:34:56.320 --> 0:34:57.360
<v Speaker 9>about or looking into.

0:34:57.200 --> 0:34:57.560
<v Speaker 4>Any of that?

0:34:58.120 --> 0:35:00.439
<v Speaker 10>Yeah, I mean I think that one of the people

0:35:00.480 --> 0:35:03.480
<v Speaker 10>I spoke with, Margaret Mitchell also, she's from Hugging Face.

0:35:04.280 --> 0:35:06.200
<v Speaker 10>That was something that she mentioned to me. And it's

0:35:06.200 --> 0:35:09.280
<v Speaker 10>something that as like as a reporter, but also as

0:35:09.320 --> 0:35:11.160
<v Speaker 10>a human who likes to use a lot of different

0:35:11.160 --> 0:35:14.279
<v Speaker 10>technology products. I also think about a lot when I

0:35:14.400 --> 0:35:18.520
<v Speaker 10>use chat GBT myself, I try to avoid giving it

0:35:18.560 --> 0:35:22.759
<v Speaker 10>any kinds of personally identifying information, and I think I've

0:35:22.800 --> 0:35:25.719
<v Speaker 10>told many people the same. I just I don't feel

0:35:25.719 --> 0:35:29.760
<v Speaker 10>comfortable doing that. I know that open AI reviews users conversations.

0:35:31.040 --> 0:35:32.960
<v Speaker 10>You can delete your account if you don't want them

0:35:33.000 --> 0:35:34.360
<v Speaker 10>to have your data, but that can take up to

0:35:34.400 --> 0:35:36.200
<v Speaker 10>four weeks according to their terms of service.

0:35:36.280 --> 0:35:38.400
<v Speaker 2>Doesn't this feel like all the tech CEOs are like, yeah, no,

0:35:38.520 --> 0:35:41.879
<v Speaker 2>my kids, I don't let them play with computers. Rachel

0:35:41.880 --> 0:35:45.240
<v Speaker 2>says that, yeah, I don't do this. What's interesting too, though,

0:35:45.320 --> 0:35:47.640
<v Speaker 2>in terms of data though, right, because if you put

0:35:47.800 --> 0:35:51.279
<v Speaker 2>anything personal down there, that's how this all works, right,

0:35:51.600 --> 0:35:54.240
<v Speaker 2>uses the data to kind of get smarter and smarter

0:35:54.320 --> 0:35:54.839
<v Speaker 2>if you will.

0:35:55.320 --> 0:35:59.759
<v Speaker 10>Yeah, your data is helping could help train future iterations

0:35:59.760 --> 0:35:59.920
<v Speaker 10>of this.

0:36:00.120 --> 0:36:01.799
<v Speaker 2>Sure, so you have to remember it's in there.

0:36:03.440 --> 0:36:07.000
<v Speaker 3>It's sticky, sticky, you could describe it.

0:36:07.040 --> 0:36:09.279
<v Speaker 10>I actually did use it myself, like a week ago

0:36:09.400 --> 0:36:12.239
<v Speaker 10>to I haven't I haven't told anyone in my family this.

0:36:12.320 --> 0:36:16.360
<v Speaker 10>I used it to to sort of talk through an argument,

0:36:17.160 --> 0:36:20.320
<v Speaker 10>and I didn't give it any personally identifying details. I

0:36:20.320 --> 0:36:22.000
<v Speaker 10>feel like you can if you spend a minute thinking

0:36:22.040 --> 0:36:24.279
<v Speaker 10>about it, you can totally do that.

0:36:24.480 --> 0:36:25.280
<v Speaker 2>Or is it helpful?

0:36:26.440 --> 0:36:26.640
<v Speaker 6>Yeah?

0:36:26.680 --> 0:36:27.400
<v Speaker 5>Actually it was.

0:36:27.800 --> 0:36:29.399
<v Speaker 10>I mean in the way that can.

0:36:29.320 --> 0:36:30.759
<v Speaker 9>I help you reason with a seven year old?

0:36:31.320 --> 0:36:34.279
<v Speaker 10>No, I haven't tried it with anything about my kids.

0:36:34.320 --> 0:36:35.600
<v Speaker 2>That's like you write it in and then like you

0:36:35.640 --> 0:36:39.239
<v Speaker 2>don't get a response we don't have enough data on that's.

0:36:39.320 --> 0:36:41.600
<v Speaker 10>Yeah, it was helpful to be reflective, but you know

0:36:41.640 --> 0:36:44.319
<v Speaker 10>what Eliza might have been able to be similarly help

0:36:44.360 --> 0:36:45.600
<v Speaker 10>me be similarly reflective.

0:36:45.600 --> 0:36:46.479
<v Speaker 6>I don't know right.

0:36:48.880 --> 0:36:50.520
<v Speaker 9>When the answer is, when did you go let it down?

0:36:50.880 --> 0:36:51.080
<v Speaker 1>Yeah?

0:36:51.640 --> 0:36:52.640
<v Speaker 6>Why do you think that?

0:36:53.360 --> 0:36:54.759
<v Speaker 2>You know, I have to I feel like this has

0:36:54.800 --> 0:36:56.759
<v Speaker 2>been an interesting week. There are sixty minutes to another

0:36:56.800 --> 0:36:58.759
<v Speaker 2>couple of pieces, and they were really leaning into and

0:36:58.760 --> 0:37:02.239
<v Speaker 2>obviously talking to the head of Alphabet Sundar Pichai about

0:37:02.239 --> 0:37:05.080
<v Speaker 2>what they are doing. And it's interesting, Like on Twitter,

0:37:05.120 --> 0:37:06.880
<v Speaker 2>I was getting you know, I put out those pieces

0:37:06.920 --> 0:37:08.879
<v Speaker 2>and people are like, wait, you know, everybody's like, oh

0:37:08.880 --> 0:37:11.200
<v Speaker 2>my god, it's the end of the world. How do you,

0:37:11.239 --> 0:37:13.720
<v Speaker 2>as somebody who is obviously in a whole other plane

0:37:13.719 --> 0:37:16.040
<v Speaker 2>when it comes to AI understanding talking to the voices

0:37:16.040 --> 0:37:18.600
<v Speaker 2>who are in it, how do you see it? Because

0:37:18.640 --> 0:37:20.359
<v Speaker 2>it does feel like headlines are coming out as fast

0:37:20.400 --> 0:37:23.400
<v Speaker 2>and furiously, whether it's on therapy, whether it's on something else.

0:37:24.000 --> 0:37:28.600
<v Speaker 10>I try to remember to take a deep breath and like, honestly,

0:37:28.719 --> 0:37:32.000
<v Speaker 10>like just kind of okay, and let's kind of look

0:37:32.040 --> 0:37:35.360
<v Speaker 10>at the reality of what these things can do. On

0:37:35.400 --> 0:37:39.319
<v Speaker 10>the one hand, we have AI systems that are increasingly

0:37:39.520 --> 0:37:43.160
<v Speaker 10>powerful and can do some really interesting things, or perhaps

0:37:43.320 --> 0:37:45.360
<v Speaker 10>in the near future, could do some really interesting things.

0:37:46.160 --> 0:37:49.520
<v Speaker 10>Various cool medical applications like helping detect certain kinds of cancer.

0:37:50.400 --> 0:37:53.160
<v Speaker 10>Things like that I think many people can agree are great.

0:37:53.760 --> 0:37:55.279
<v Speaker 10>On the other hand, there's a lot of things we

0:37:55.360 --> 0:37:57.560
<v Speaker 10>need to keep an eye out for, and some harms

0:37:57.560 --> 0:38:01.480
<v Speaker 10>that are already here. I don't think that this is

0:38:02.400 --> 0:38:07.600
<v Speaker 10>agi artificial general intelligence. We are not there. And also

0:38:07.719 --> 0:38:09.640
<v Speaker 10>a lot of these things aren't an inevitability. I think

0:38:09.640 --> 0:38:10.840
<v Speaker 10>we have artificial.

0:38:10.480 --> 0:38:13.919
<v Speaker 2>General intelligence like creating up stuff like creating another Jeel,

0:38:13.960 --> 0:38:15.040
<v Speaker 2>creating another me kind of thing.

0:38:15.080 --> 0:38:15.800
<v Speaker 10>No, that's not happening.

0:38:15.800 --> 0:38:18.640
<v Speaker 2>Well, okay, okay, that's okay, okay.

0:38:18.680 --> 0:38:18.759
<v Speaker 4>No.

0:38:18.840 --> 0:38:20.239
<v Speaker 10>I think I think a lot of it is trying

0:38:20.239 --> 0:38:23.399
<v Speaker 10>to keep into perspective where are we which is it's

0:38:23.440 --> 0:38:26.279
<v Speaker 10>still this is still early days, even though AI in

0:38:26.400 --> 0:38:28.800
<v Speaker 10>various forms has existed for many decades.

0:38:28.840 --> 0:38:33.000
<v Speaker 9>At this point, where else are you interested in watching

0:38:33.680 --> 0:38:37.719
<v Speaker 9>chat GBT go into and sort of you know, maybe

0:38:37.800 --> 0:38:40.560
<v Speaker 9>let's say disrupt That word.

0:38:41.000 --> 0:38:44.399
<v Speaker 10>Disrupt interesting, I mean it has it has a bit

0:38:44.480 --> 0:38:49.560
<v Speaker 10>of a honesty problem. We we need systems like this

0:38:49.760 --> 0:38:52.439
<v Speaker 10>that can be a little bit more reliable as far

0:38:52.640 --> 0:38:55.920
<v Speaker 10>as you ask it a question and you get an

0:38:55.920 --> 0:38:57.919
<v Speaker 10>answer that you then don't have to spend a really

0:38:57.960 --> 0:39:01.760
<v Speaker 10>long time like confirming checking. Yeah, and that gets harder

0:39:01.800 --> 0:39:04.440
<v Speaker 10>as it's funning, right, Yeah, well yeah, if you're googling,

0:39:04.560 --> 0:39:06.880
<v Speaker 10>and if you're asking a complicated question, you might have

0:39:06.920 --> 0:39:09.120
<v Speaker 10>a whole bunch of different things. Then that you're like, okay.

0:39:09.280 --> 0:39:10.960
<v Speaker 10>If you're asking it for like a list of things,

0:39:10.960 --> 0:39:12.359
<v Speaker 10>for instance, then you're like, okay, I have to run

0:39:12.400 --> 0:39:14.239
<v Speaker 10>down everything on this list to make sure you know

0:39:14.280 --> 0:39:18.680
<v Speaker 10>it's all accurate. So if we can get in that direction,

0:39:18.800 --> 0:39:22.560
<v Speaker 10>I think it could be really interesting for maybe there's

0:39:22.600 --> 0:39:24.440
<v Speaker 10>some interesting finance applications.

0:39:24.920 --> 0:39:28.520
<v Speaker 9>I love that it lies. It's sometimes that's useful.

0:39:28.200 --> 0:39:29.719
<v Speaker 5>Though you can things.

0:39:34.440 --> 0:39:35.719
<v Speaker 10>I am just a simple a.

0:39:37.880 --> 0:39:40.319
<v Speaker 2>It's a fascinating world and we are all obsessed with

0:39:40.360 --> 0:39:42.799
<v Speaker 2>it and obsessed with you and really your take on

0:39:42.880 --> 0:39:45.200
<v Speaker 2>it and reporting. So thank you so much, Rachel Mettz.

0:39:45.440 --> 0:39:48.080
<v Speaker 2>She's aar reporter here at Bloomberg News in our interactive

0:39:48.080 --> 0:39:50.759
<v Speaker 2>Brokers studio along with the editor of Bloomberg business Week,

0:39:50.800 --> 0:39:54.520
<v Speaker 2>Jill Weber. This story talk therapy entering the era of chatbots.

0:39:54.560 --> 0:39:56.560
<v Speaker 2>It's going to be the new issue of Bloomberg Business Week,

0:39:56.840 --> 0:39:59.839
<v Speaker 2>add on newsstands, online already at Bloomer dot Cosage business

0:39:59.840 --> 0:40:02.879
<v Speaker 2>Week and of course on the Bloomberg terminal. Check it out.

0:40:03.120 --> 0:40:04.719
<v Speaker 2>This is Bloomberg.

0:40:08.840 --> 0:40:10.480
<v Speaker 11>Unbrotherly mark a.

0:40:12.640 --> 0:40:13.080
<v Speaker 4>Journal.

0:40:14.080 --> 0:40:14.480
<v Speaker 1>Now about you.

0:40:14.560 --> 0:40:15.080
<v Speaker 6>Let me drive?

0:40:15.600 --> 0:40:20.839
<v Speaker 9>No, no, no, no, drive honey please, how did the rider gravels?

0:40:21.239 --> 0:40:22.640
<v Speaker 1>Let's mate, I want to drive.

0:40:24.880 --> 0:40:26.840
<v Speaker 8>It's a good question times.

0:40:29.600 --> 0:40:32.480
<v Speaker 1>This is the drive to the Globe dot com for me.

0:40:32.560 --> 0:40:34.120
<v Speaker 4>I think we'll buy around yelling.

0:40:34.480 --> 0:40:36.000
<v Speaker 1>I'm on Bloomberg Radio.

0:40:36.440 --> 0:40:39.480
<v Speaker 2>All right, everybody, just about seventeen and a half minutes

0:40:39.560 --> 0:40:43.960
<v Speaker 2>left in today's trading day. Taking a look. As Charlie mentioned,

0:40:44.320 --> 0:40:46.279
<v Speaker 2>you've got a bit of a mixed market, but kind

0:40:46.280 --> 0:40:48.240
<v Speaker 2>of tight range, certainly on the equity side of things

0:40:48.320 --> 0:40:52.600
<v Speaker 2>and the treasury trade as we heard still with that

0:40:52.600 --> 0:40:55.120
<v Speaker 2>to your about four point ten year note with the

0:40:55.160 --> 0:40:57.719
<v Speaker 2>yield of three point fifty seven, So just a little

0:40:57.760 --> 0:40:59.359
<v Speaker 2>bit of a set up here. Let's get to it though,

0:40:59.360 --> 0:41:01.799
<v Speaker 2>with our market guests, our drive to the closed guest

0:41:01.880 --> 0:41:04.800
<v Speaker 2>on this Tuesday, Jeanette Garrity, Principal and Managing director and

0:41:04.840 --> 0:41:07.719
<v Speaker 2>chief Economist over at the San Francisco based Robertson Stevens.

0:41:08.200 --> 0:41:11.520
<v Speaker 2>She's on the phone in Chicago, Jeanette. Great to have

0:41:11.600 --> 0:41:15.160
<v Speaker 2>you here with Jess Manton and myself. First of all,

0:41:15.200 --> 0:41:17.680
<v Speaker 2>before we get into some of the big macro think

0:41:17.880 --> 0:41:20.000
<v Speaker 2>about our market environment, I want to ask you about

0:41:20.000 --> 0:41:23.520
<v Speaker 2>the San Francisco area. Roberts and Stevens definitely known, certainly

0:41:23.560 --> 0:41:26.160
<v Speaker 2>because it's based in San Francisco, understanding kind of the

0:41:26.200 --> 0:41:30.200
<v Speaker 2>tech community, the entrepreneurial community. What are you hearing from

0:41:30.200 --> 0:41:31.600
<v Speaker 2>your colleagues that are based there.

0:41:32.719 --> 0:41:38.520
<v Speaker 11>A great question, and it's noticeable, I think for those

0:41:38.560 --> 0:41:42.360
<v Speaker 11>of us located in the San Francisco Bay area. The

0:41:42.840 --> 0:41:46.120
<v Speaker 11>impact of some of the tech layoffs that everybody's read about,

0:41:46.800 --> 0:41:50.719
<v Speaker 11>as well as just probably a general slowdown in the

0:41:51.360 --> 0:41:57.839
<v Speaker 11>expansion of that sector. That is what really drove the

0:41:57.920 --> 0:42:02.920
<v Speaker 11>downtown San Francisco economy in particular. That's where it's most noticeable,

0:42:03.640 --> 0:42:07.439
<v Speaker 11>and we see it coming back, and there's many there's

0:42:07.480 --> 0:42:12.600
<v Speaker 11>a lot of talk in the community about how that

0:42:12.680 --> 0:42:16.279
<v Speaker 11>business community, that localized business community, goes forward. Given that

0:42:16.360 --> 0:42:19.160
<v Speaker 11>a lot of jobs have been lost. You can get

0:42:19.200 --> 0:42:23.000
<v Speaker 11>outside of San Francisco, there's not much of a slow

0:42:23.080 --> 0:42:27.280
<v Speaker 11>down just yet showing up the shopping center, parking lots

0:42:27.320 --> 0:42:32.920
<v Speaker 11>are all full, and nightlife in San Francisco is robust.

0:42:33.160 --> 0:42:34.600
<v Speaker 11>So it's a little bit of a mixed bag.

0:42:36.239 --> 0:42:39.200
<v Speaker 5>And something that has stood out to me just kind

0:42:39.239 --> 0:42:41.640
<v Speaker 5>of more broadly, when we're thinking about the economy. If

0:42:41.680 --> 0:42:44.560
<v Speaker 5>you look in the terminal, there's a function ECFC that

0:42:44.560 --> 0:42:47.160
<v Speaker 5>looks at the economic forecast, and as of now, when

0:42:47.200 --> 0:42:49.680
<v Speaker 5>we came into this year, there was this expectation we'd

0:42:49.680 --> 0:42:52.239
<v Speaker 5>see growth contract in the second third quarters. You're not

0:42:52.360 --> 0:42:54.879
<v Speaker 5>necessarily seeing that now. So can you kind of break

0:42:54.920 --> 0:42:57.440
<v Speaker 5>down to us as far as the forecast for the

0:42:57.480 --> 0:42:59.840
<v Speaker 5>economy moving forward and why we're beginning to see a

0:42:59.840 --> 0:43:02.080
<v Speaker 5>sh shift there when we have so many people who

0:43:02.080 --> 0:43:04.000
<v Speaker 5>are debating whether or not we're going to have a

0:43:04.040 --> 0:43:06.040
<v Speaker 5>recession in the coming quarters.

0:43:07.040 --> 0:43:07.279
<v Speaker 8>Yeah.

0:43:07.440 --> 0:43:10.080
<v Speaker 11>Yeah, it's sort of like if you if you forecast

0:43:10.120 --> 0:43:12.360
<v Speaker 11>it long enough, I guess you know, somebody will be

0:43:12.480 --> 0:43:18.840
<v Speaker 11>right here. And I've actually just recently gone into the

0:43:18.960 --> 0:43:26.400
<v Speaker 11>camp of saying that I would advise preparing for a

0:43:26.600 --> 0:43:29.640
<v Speaker 11>downturn in the third and fourth quarter of this year.

0:43:29.719 --> 0:43:32.080
<v Speaker 11>I think things are kind of coming together in that way.

0:43:32.680 --> 0:43:37.239
<v Speaker 11>Watching the labor market watching what the impact is on

0:43:37.719 --> 0:43:41.319
<v Speaker 11>the financial sector, of the banking sector in particular. Things

0:43:41.360 --> 0:43:45.279
<v Speaker 11>have settled down there, but clearly their costs of operation

0:43:45.440 --> 0:43:47.440
<v Speaker 11>that have risen, and there's going to be an impact

0:43:47.440 --> 0:43:52.840
<v Speaker 11>from that. But you are absolutely right that right now

0:43:52.960 --> 0:43:57.400
<v Speaker 11>there's not much of a slowdown, and I think Gee's

0:43:57.520 --> 0:44:00.919
<v Speaker 11>first quarter economic growth is likely to come in at

0:44:01.000 --> 0:44:03.920
<v Speaker 11>two percent, maybe even a little bit above two percent.

0:44:04.600 --> 0:44:07.960
<v Speaker 11>It is not normal for the US economy to go

0:44:08.040 --> 0:44:12.640
<v Speaker 11>into a recession, you know, hitting a brick wall going

0:44:12.840 --> 0:44:15.879
<v Speaker 11>sixty five miles per hour or ninety miles per hour.

0:44:16.680 --> 0:44:22.360
<v Speaker 11>So what everybody's looking at this quarter is to see

0:44:22.520 --> 0:44:27.520
<v Speaker 11>whether economic growth, economic activity will slow down more into

0:44:27.640 --> 0:44:32.239
<v Speaker 11>the one percent range, which would certainly set up a

0:44:32.320 --> 0:44:36.399
<v Speaker 11>situation where we could get a mild recession driven by

0:44:36.560 --> 0:44:39.880
<v Speaker 11>a slowdown in consumer spending and a rise in the

0:44:39.960 --> 0:44:43.400
<v Speaker 11>unemployment rate, kind of classic behavior for the US economy.

0:44:43.440 --> 0:44:44.960
<v Speaker 2>Well, that's what I wanted to ask you, right So,

0:44:45.040 --> 0:44:47.520
<v Speaker 2>April three point five percent for the unemployment rate. Are

0:44:47.560 --> 0:44:50.600
<v Speaker 2>you assuming that by the third quarter or fourth quarter

0:44:50.680 --> 0:44:55.160
<v Speaker 2>that wear well above that or could we get a slowdown?

0:44:55.280 --> 0:44:57.560
<v Speaker 2>Could we get a recession, which is a part of

0:44:57.560 --> 0:44:59.879
<v Speaker 2>our narrative right now, Jeanette, and I think this is why,

0:45:00.400 --> 0:45:02.400
<v Speaker 2>you know, the financial markets are trying are having a

0:45:02.480 --> 0:45:04.680
<v Speaker 2>tough time figuring out what kind of environment do we

0:45:04.800 --> 0:45:07.720
<v Speaker 2>truly have in the second half of this year. Could

0:45:07.760 --> 0:45:12.280
<v Speaker 2>we have a recession with a tight labor market?

0:45:14.520 --> 0:45:17.520
<v Speaker 11>Well, I think the answer to that is yes. But

0:45:18.160 --> 0:45:22.680
<v Speaker 11>let's talk about the numbers. There was a time that

0:45:22.840 --> 0:45:27.279
<v Speaker 11>a tight labor market was defined by an unemployment rate

0:45:27.320 --> 0:45:29.759
<v Speaker 11>of four and a half percent, not necessarily fore and

0:45:29.800 --> 0:45:34.680
<v Speaker 11>a half percent. But I don't think we're going to

0:45:34.760 --> 0:45:41.759
<v Speaker 11>get that recession without the unemployment rate going up and

0:45:42.280 --> 0:45:46.800
<v Speaker 11>the impact that that would have on consumer spending. Can

0:45:46.840 --> 0:45:52.000
<v Speaker 11>we get a mild economic recession that the FED might

0:45:52.080 --> 0:45:57.319
<v Speaker 11>choose to cause call a soft landing, albeit with an

0:45:57.400 --> 0:46:02.440
<v Speaker 11>unemployment rate of four point one, four point two something

0:46:02.560 --> 0:46:04.359
<v Speaker 11>like that. Maybe you get it a little bit higher

0:46:04.440 --> 0:46:06.280
<v Speaker 11>than even that by the end of the year. Yeah,

0:46:06.320 --> 0:46:09.560
<v Speaker 11>I think that could come together, can I as it

0:46:10.000 --> 0:46:11.800
<v Speaker 11>very much will depend on the service sector.

0:46:11.880 --> 0:46:16.160
<v Speaker 2>By the way, Meildetta emailing of Renaissance macro weighing in

0:46:16.280 --> 0:46:18.640
<v Speaker 2>and he says, take a look at homebuilders today. Ask

0:46:18.760 --> 0:46:22.239
<v Speaker 2>people about this because the S and P supercomposite or

0:46:22.239 --> 0:46:24.799
<v Speaker 2>Composite fifteen hundred home building index is up almost three

0:46:24.840 --> 0:46:28.200
<v Speaker 2>percent in today's session. Some of our write through is

0:46:28.239 --> 0:46:31.200
<v Speaker 2>because at least our team is saying, that's because you

0:46:31.239 --> 0:46:33.239
<v Speaker 2>got the ten year yield falling back to three point

0:46:33.280 --> 0:46:37.440
<v Speaker 2>five to eight percent. How can we how do you

0:46:37.480 --> 0:46:40.560
<v Speaker 2>explain that if we're going to move into a recessionary environment,

0:46:40.600 --> 0:46:43.200
<v Speaker 2>does the market I mean home builders are up like

0:46:43.280 --> 0:46:46.720
<v Speaker 2>twenty five percent year today, Yeah.

0:46:46.640 --> 0:46:49.239
<v Speaker 11>You know, there's there's a timing issue here. At the

0:46:49.280 --> 0:46:51.480
<v Speaker 11>same time, then the number you didn't bring up is

0:46:52.000 --> 0:46:56.920
<v Speaker 11>that also building permits they'll sell more fell to a

0:46:57.000 --> 0:47:00.400
<v Speaker 11>level lower level, fell to a lower level than was

0:47:00.640 --> 0:47:06.880
<v Speaker 11>expected in today's numbers. So you know what's what's happening there. Well,

0:47:07.320 --> 0:47:10.640
<v Speaker 11>I think the major builders, my sense has been that

0:47:10.760 --> 0:47:14.440
<v Speaker 11>for quite some time they're looking long term. They're saying,

0:47:15.400 --> 0:47:20.080
<v Speaker 11>we need to have land, we need to have developments

0:47:20.120 --> 0:47:22.400
<v Speaker 11>in progress, if you will, so that we can be

0:47:22.480 --> 0:47:27.320
<v Speaker 11>there to supply what is a still a chronically undersupplied

0:47:27.760 --> 0:47:29.680
<v Speaker 11>demand for housing in the knife stay.

0:47:29.640 --> 0:47:33.120
<v Speaker 2>Right, because those housing starts multi family dropped almost six percent.

0:47:33.200 --> 0:47:35.560
<v Speaker 2>Single family home building increased two point seven percent to

0:47:35.560 --> 0:47:37.600
<v Speaker 2>a three month high. So it's really the multi and

0:47:37.680 --> 0:47:40.880
<v Speaker 2>I know in my neighborhood it's an urban environment. There's

0:47:40.880 --> 0:47:43.440
<v Speaker 2>been so many apartment buildings and multi family units that

0:47:43.440 --> 0:47:45.279
<v Speaker 2>have gone up. I'm not surprised that there might be

0:47:45.760 --> 0:47:47.440
<v Speaker 2>a little bit of a slowdown. Would you buy home

0:47:47.440 --> 0:47:49.600
<v Speaker 2>building stocks? Just got five seconds.

0:47:51.600 --> 0:47:54.280
<v Speaker 11>I am married to a home builder.

0:47:54.360 --> 0:47:54.839
<v Speaker 9>I would have.

0:47:57.040 --> 0:48:00.520
<v Speaker 2>Well said well, said Jenet Carrety over at Robertson Steven

0:48:00.640 --> 0:48:03.760
<v Speaker 2>Chief Economist and more right here on Bloomberg BusinessWeek.

0:48:03.800 --> 0:48:04.120
<v Speaker 3>Jenett.

0:48:04.120 --> 0:48:04.440
<v Speaker 2>Thanks.

0:48:05.560 --> 0:48:10.200
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