WEBVTT - Apple Rises and AI's Impact on the Job Market

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<v Speaker 1>From our Heart where Innovations, money and power Collie in

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<v Speaker 1>Silicon Valley, NBN. This is Bloomberg Technology with Caroline Hyde

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<v Speaker 1>and Ed Ludlow.

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<v Speaker 2>I'm Caroline Hyde at Bloomberg's World headquarters in New York and.

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<v Speaker 3>I'm Ed Ludlow in San Francisco. This is Bloomberg Technology

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<v Speaker 3>coming out of ed.

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<v Speaker 2>We have full earnings coverage. Of course, we digest Apple,

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<v Speaker 2>it rises on signs of its weathering that smartphone slowdown.

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<v Speaker 2>We've also got dowdash lift, block analysis, you name it.

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<v Speaker 4>We're on it.

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<v Speaker 3>And following another strong US payrolls report, we'll discuss the

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<v Speaker 3>state of the job market for the tech industry, specifically

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<v Speaker 3>when it comes to artificial intelligence.

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<v Speaker 2>Plus we'll break down results from Warner Brothers as the

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<v Speaker 2>company reports a surprise profit and streaming how will the

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<v Speaker 2>writers strike impact results going forward?

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<v Speaker 4>Though all of that.

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<v Speaker 2>As we analyze the broader context of the markets today,

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<v Speaker 2>it's Friday feeling when you're looking at the regional banking

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<v Speaker 2>nex in particular, in fact, when you're looking at tech

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<v Speaker 2>stocks too. Even with a strong jobs report and what

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<v Speaker 2>that means in terms of Federal Reserve still probably having

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<v Speaker 2>to tame inflation we're looking at one point eight percent

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<v Speaker 2>arrive on the NASDAG. We really are seeing a bounce

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<v Speaker 2>back in risk sentiment today KBW bankingex as I say,

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<v Speaker 2>on fire up more than four percent, but remember how

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<v Speaker 2>far we've fallen over the last few days. This is

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<v Speaker 2>all about a bounce back in regional banks. Maybe people

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<v Speaker 2>just buying the dip today. Ed I know you're going

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<v Speaker 2>to dig into that a little bit later. The VIGs

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<v Speaker 2>that all important fear gauge therefore really pulling down by

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<v Speaker 2>almost three points, were at seventeen handle once again. So

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<v Speaker 2>we decide we're going to go along this market into

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<v Speaker 2>the weekend. Let's quickly look at what happening in terms

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<v Speaker 2>of the world a crypto, because actually it looks as

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<v Speaker 2>though risk sentiment is rallying there as well. We're at

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<v Speaker 2>one point eight percent, We're not at that all important

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<v Speaker 2>thirty thousand level, but still a little bit of a pushback.

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<v Speaker 2>And I just drill into what's happening in terms of

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<v Speaker 2>the micro Is there is there risk on sentiment?

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<v Speaker 4>There is at.

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<v Speaker 3>Earnings, Yeah, there's a lot driven by Ernie's. You look

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<v Speaker 3>at a name like Lit down twenty percent more than

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<v Speaker 3>ten actually at one point in the session, Lift is

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<v Speaker 3>touching a record low on that stock. The outlook for

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<v Speaker 3>revenue is not driving with investors. I think there's a

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<v Speaker 3>lot of concern about the near term economic model and

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<v Speaker 3>the new CEO's plan to turn that around. Really big

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<v Speaker 3>decline in Lift Streaming is interesting. Paramount twenty four hours

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<v Speaker 3>ago had a loss. Warner Brothers Discovery out with a

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<v Speaker 3>surprise profit for the streaming unit. Even though the legacy

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<v Speaker 3>business is seeing advertiser flight, We're seeing some buoyancy in

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<v Speaker 3>those names. And then again you talk about the banks,

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<v Speaker 3>Packwest up the most on record eighty four percent or so.

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<v Speaker 3>Why I'm actually not seeing much rationale on the bloomberg

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<v Speaker 3>or out in the reporting. It may be a by

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<v Speaker 3>the dip kind of situation. We will dig into that

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<v Speaker 3>later in the program. There is one clear name moving

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<v Speaker 3>us to the upside, and that is Apple. You look

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<v Speaker 3>at the gain in Apple shares following what was a

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<v Speaker 3>beat on expectations in the quarter, strengthen iPhone and in

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<v Speaker 3>services growth in both units year on the year, Although

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<v Speaker 3>low growth one and a half percent or so for

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<v Speaker 3>the iPhone five and a half percent for the services,

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<v Speaker 3>that four point eight gain is the biggest jump since November.

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<v Speaker 3>We did get commentary on AI quite muted, all about

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<v Speaker 3>emerging markets, all about India, and then that developing services business.

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<v Speaker 3>I know you and I have been talking about fintech

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<v Speaker 3>in particular and what Apple's doing on that side of things.

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<v Speaker 3>That's where there was some strength.

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<v Speaker 2>Yeah, and strength in terms of the points that it's

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<v Speaker 2>adding to the SMP more than fourteen. So Apple helping

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<v Speaker 2>drag the market high.

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<v Speaker 4>Let's get more on all of this.

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<v Speaker 2>Third Bridge Global Sector lead for TMT it is Scott Kesler.

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<v Speaker 2>So let's go back to basics of Apple the broad picture.

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<v Speaker 2>We're talking about the nuances of AI there, but really

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<v Speaker 2>this is about iPhones and still demand internationally.

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<v Speaker 1>Absolutely.

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<v Speaker 5>I mean, if you think about the quarter that they

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<v Speaker 5>just reported, more than half of revenues came from iPhone.

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<v Speaker 5>iPhone outperformed, but as you alluded to, it seems like

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<v Speaker 5>the other major product areas when you think about hardware

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<v Speaker 5>and you think about mac and iPad and wearables, those

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<v Speaker 5>also declines in the quarter. So iPhone was the and

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<v Speaker 5>out in terms of total revenues, but also in terms

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<v Speaker 5>of the beat, and I think that helped carry Apple

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<v Speaker 5>over the finish line, so to speak.

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<v Speaker 3>Yes, Scot, I'll jump in. I think there's a real

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<v Speaker 3>interest here on India in emerging markets. How much confidence

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<v Speaker 3>that does that give you that Apple has pockets for

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<v Speaker 3>major growth going forward.

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<v Speaker 1>You know?

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<v Speaker 5>And I think growth has to be on the minds

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<v Speaker 5>of Apple investors today. Sure, people are happy the stock

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<v Speaker 5>is up, the company reporter results that were largely better

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<v Speaker 5>than expectations. But I think more intermediate term people have

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<v Speaker 5>to wonder about whether or not this is a double

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<v Speaker 5>digit grower in terms of revenues in the foreseeable future

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<v Speaker 5>or at any point in the future. To be frank,

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<v Speaker 5>emerging markets would seemingly have to be a big part

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<v Speaker 5>of that. But when you think about India, and that's

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<v Speaker 5>something they've been talking about, and I think they talk

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<v Speaker 5>more about India during the call than they did AI,

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<v Speaker 5>and rightly so, because that seems to be more of

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<v Speaker 5>a term opportunity for the company. That being said, I

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<v Speaker 5>think people understand that getting that premium pricing is going

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<v Speaker 5>to be difficult in India, and so the strategy and

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<v Speaker 5>the specifics.

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<v Speaker 1>Are very key there.

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<v Speaker 5>We'll see kind of how they go about approaching that market.

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<v Speaker 5>There's no issue when it comes to things like the

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<v Speaker 5>number of potential customers and kind of the possible volumes

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<v Speaker 5>going forward. But how that plays into what Apple is

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<v Speaker 5>able to do. Yeah, given the price sensitivity there, I

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<v Speaker 5>think that's a big question going forward.

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<v Speaker 3>Scott, how much of the rally and shares, to your mind,

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<v Speaker 3>is driven by the comments on AI?

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<v Speaker 5>You know what, I have to be honest, I don't

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<v Speaker 5>know that people are making a lot of those you know,

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<v Speaker 5>it's interesting. I did a search of the transcript for AI.

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<v Speaker 5>There were a handful of references. I think there are

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<v Speaker 5>more references to Mumbai than AI. And I think that

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<v Speaker 5>goes to what I was just saying before. I think

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<v Speaker 5>talking about the fact that it's something they're thinking about,

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<v Speaker 5>it's something they're looking at.

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<v Speaker 1>They don't speak to their product roadmaps.

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<v Speaker 5>I mean that's their way of saying that we haven't

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<v Speaker 5>quite figured it out to the point where we.

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<v Speaker 1>Want to talk about this.

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<v Speaker 5>But look, we speak to experts day in and day out,

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<v Speaker 5>and they consistently tell us that this is an area

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<v Speaker 5>where Apple is behind. If you think about the headlines

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<v Speaker 5>we've seen from Microsoft and from Alphabet and from others

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<v Speaker 5>like Meta, those companies are all well ahead of Apple.

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<v Speaker 1>I think when it comes to AI.

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<v Speaker 3>You know, Caroline, we were waiting for the numbers and

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<v Speaker 3>services to be services came in below expectations, that still

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<v Speaker 3>led growth. And what was interesting is the kind of

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<v Speaker 3>emphasis on the fintech side of that business.

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<v Speaker 2>And that really was the talking point throughout the course

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<v Speaker 2>of Scott. Interestingly was the fact that they're launching the

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<v Speaker 2>savings card, the fact that they're offering such a high

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<v Speaker 2>yield on savings.

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<v Speaker 4>How much is fintech or indeed just the addiction to the.

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<v Speaker 2>Services side and the way they're trying to keep us

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<v Speaker 2>so much within Apple's ecosystem a selling point for you

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<v Speaker 2>at the moment, you.

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<v Speaker 1>Know, I think it actually is pretty important.

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<v Speaker 5>I think a lot of people are wondering about kind

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<v Speaker 5>of R and D and innovation and growth, and with

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<v Speaker 5>WWDC kicking off I think exactly a month from today, rightly,

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<v Speaker 5>so they should be.

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<v Speaker 1>Thinking about those things.

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<v Speaker 5>But Apple has been talking more about payment services and

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<v Speaker 5>financial services, and we've regularly heard that not only does

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<v Speaker 5>that have a massive total addressable market that Apple can pursue,

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<v Speaker 5>but that Apple actually has products and services that can

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<v Speaker 5>take share there and they've been pretty active, frankly, not

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<v Speaker 5>just over the last couple of years, but the last

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<v Speaker 5>couple of quarters.

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<v Speaker 1>In terms of seizing upon that opportunity.

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<v Speaker 3>It scolled Kessler Thirdbridge on all Things Apple.

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<v Speaker 6>Thank you for your time.

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<v Speaker 3>We're going to turn to door Dash, the food delivery

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<v Speaker 3>company beating estimates driven by strong demand for deliveries, joining

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<v Speaker 3>us now cr for a CFRA Senior analyst Angelo Zeno Angelo, Hello,

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<v Speaker 3>this is an interesting company. Yeah, good to see you.

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<v Speaker 3>What does this tell you about the consumer right now

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<v Speaker 3>and where they're spending money. I find door Dash left

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<v Speaker 3>over the gig economy names as pretty good. Baromea to

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<v Speaker 3>right of what's going on on the ground.

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<v Speaker 7>Yeah, I would actually agree with that. And when you

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<v Speaker 7>kind of look at the numbers from all three across,

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<v Speaker 7>you know, this week, I'd say for the most part,

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<v Speaker 7>it's been very resilient in nature. I mean you kind

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<v Speaker 7>of look at Doordash's numbers. Actually they grew the top

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<v Speaker 7>night line very well, grew at about forty percent. And

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<v Speaker 7>when you kind of look at where the gross orders

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<v Speaker 7>were up about twenty nine percent, and they maybe about

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<v Speaker 7>a third of a third of that, you know, being

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<v Speaker 7>driven by their endeavors into Europe. With that Walt acquisition.

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<v Speaker 7>But nonetheless, when you kind of look at the results here,

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<v Speaker 7>specifically from the likes of Uber and to a lesser extent, DoorDash,

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<v Speaker 7>I'd say the consumer right now looks really resilient. And

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<v Speaker 7>specifically i'd done the food delivery side of things, that

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<v Speaker 7>was kind of an area where a lot of you know,

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<v Speaker 7>investors out there thought that, you know, potentially revenue which

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<v Speaker 7>start kind of you know, waning off in a post

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<v Speaker 7>pandemic world, and that just hasn't happened yet.

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<v Speaker 2>And in fact, what's also working for them is not

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<v Speaker 2>just your delivery of your hot food, but plenty of

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<v Speaker 2>other things to be delivered. How much does that have

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<v Speaker 2>to be part of the business model because it's a

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<v Speaker 2>one error that lift really doesn't have.

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<v Speaker 7>Yeah, listen, I think that's a great contributor for both

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<v Speaker 7>Uber as well as doordessk. I think Uber kind of

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<v Speaker 7>highlighted thirty five percent growth in kind of new vertical

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<v Speaker 7>markets within kind of that delivery side of things. We

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<v Speaker 7>actually think DoorDash growing faster than that and kind of

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<v Speaker 7>adjacent market. So it's a huge part of their kind

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<v Speaker 7>of growth initiative here over the next couple of years

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<v Speaker 7>and kind of you know, adding stickiness to that platform,

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<v Speaker 7>because consumers that are kind of leveraging their other businesses,

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<v Speaker 7>whether it be on the food delivery side of things

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<v Speaker 7>or whether it be in ride sharing, they are you know,

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<v Speaker 7>they are looking to, you know, further kind of take

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<v Speaker 7>advantage of services in other adjacent markets.

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<v Speaker 2>And I mean ed, this is where you really do

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<v Speaker 2>compare and contrast the companies that do well that a

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<v Speaker 2>broadened their overall offering, and then you look at Lyft,

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<v Speaker 2>which is tunneling stay ed.

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<v Speaker 3>Yeah, we're down twenty one percent. We've just touched another

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<v Speaker 3>record low. We'll see if that holds through the close.

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<v Speaker 3>Is this just a lift problem, a unique lift problem?

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<v Speaker 7>I think there is. I think it is a lift problem,

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<v Speaker 7>to be honest with you, when you kind of look at,

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<v Speaker 7>you know, what investors are rewarding this week versus what

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<v Speaker 7>they're not rewarding, especially in broader tech, right, they are

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<v Speaker 7>rewarding the names that are kind of pushing the bottom line.

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<v Speaker 7>And we've seen it, you know, not only from Uber,

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<v Speaker 7>which which you know clearly is essentially holding op X

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<v Speaker 7>steady here and seeing that double digit top line orders growth.

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<v Speaker 7>DoorDash also doing it? Last three quarters, essentially keeping op

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<v Speaker 7>X relatively flat, growing the top line nicely. You saw

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<v Speaker 7>what Shopify just announced yesterday, right, and just saw the

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<v Speaker 7>impact on the stock price there when you kind of

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<v Speaker 7>look at Lift here, they've announced some big cost cuts

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<v Speaker 7>in the sense of twenty percent workforce reduction on top

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<v Speaker 7>of a north of a ten percent work force reduction

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<v Speaker 7>late last year. But the fact of the matter is

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<v Speaker 7>those quest cuts are just being reinvested in the business

0:11:05.360 --> 0:11:08.000
<v Speaker 7>to try to keep a float versus their bigger competitor

0:11:08.200 --> 0:11:10.840
<v Speaker 7>in Uber. So it's not going back to shareholders. They're

0:11:10.880 --> 0:11:13.360
<v Speaker 7>not benefiting in any way, and that's a big problem

0:11:13.360 --> 0:11:15.160
<v Speaker 7>in this type of market, and we don't think that

0:11:15.520 --> 0:11:19.360
<v Speaker 7>likely changes anywhere anytime in the near future because of

0:11:19.640 --> 0:11:23.000
<v Speaker 7>the environment we're dealing with, and especially if macro conditions

0:11:23.040 --> 0:11:25.880
<v Speaker 7>start to deteriorate, then Lift becomes in a whole lot

0:11:25.920 --> 0:11:28.240
<v Speaker 7>of trouble relative to Uber.

0:11:29.080 --> 0:11:31.480
<v Speaker 2>Oh, Angelus, you know you're the perfect guest for these

0:11:31.480 --> 0:11:33.040
<v Speaker 2>sorts of days. To wrap it all together, we thank

0:11:33.080 --> 0:11:35.160
<v Speaker 2>you for the CFRA. I mean, ed you were just

0:11:35.200 --> 0:11:37.480
<v Speaker 2>talking about the volatility that we see in Lift, the

0:11:37.520 --> 0:11:40.280
<v Speaker 2>record loan near well, look at the record move that

0:11:40.280 --> 0:11:42.880
<v Speaker 2>we're getting on the day in certain bank stocks, regional

0:11:42.920 --> 0:11:45.840
<v Speaker 2>bank stocks, but Pac West rallying hard, being stopped out

0:11:45.840 --> 0:11:48.120
<v Speaker 2>time and time again. We're up more than eighty percent.

0:11:48.800 --> 0:11:50.920
<v Speaker 2>There seems to be no fundamental change here. A lot

0:11:50.920 --> 0:11:52.880
<v Speaker 2>of people saying, look, you've got to buy this step

0:11:53.400 --> 0:11:56.360
<v Speaker 2>Ultimately it is too hard sold off. But actually put

0:11:56.360 --> 0:11:59.440
<v Speaker 2>it in context, we're back to the higher sinse oh

0:11:59.720 --> 0:12:02.439
<v Speaker 2>when we're still well off the average price, which is

0:12:02.480 --> 0:12:03.520
<v Speaker 2>an excess of twenty dollars.

0:12:03.840 --> 0:12:04.040
<v Speaker 1>Yeah.

0:12:04.080 --> 0:12:05.920
<v Speaker 3>Look that there are big names in the market like

0:12:05.960 --> 0:12:08.599
<v Speaker 3>Bill Ackman who say there's a lot of concern in

0:12:08.640 --> 0:12:11.080
<v Speaker 3>the banking sector. Still, the point that our colleagues at

0:12:11.080 --> 0:12:13.880
<v Speaker 3>Bloomberg Intelligence would make is that the sell off in

0:12:13.960 --> 0:12:18.199
<v Speaker 3>these stocks is not easy to reconcile with the liquidity

0:12:18.240 --> 0:12:20.839
<v Speaker 3>available to the banks. You look at the deposit base.

0:12:21.760 --> 0:12:24.880
<v Speaker 3>This is not Silicon Valley Bank. The proportion of ensured

0:12:24.920 --> 0:12:28.000
<v Speaker 3>deposits is much higher. That's what I'm trying to do, Caroline,

0:12:28.080 --> 0:12:31.240
<v Speaker 3>our audience that's listening, the tech founders, the vcs, they

0:12:31.280 --> 0:12:33.720
<v Speaker 3>bank with these names, and they're trying to work out

0:12:33.920 --> 0:12:34.760
<v Speaker 3>what's actually wrong.

0:12:35.240 --> 0:12:39.000
<v Speaker 2>And a lot of that fear and concern gets spread

0:12:39.040 --> 0:12:40.040
<v Speaker 2>through social media.

0:12:40.160 --> 0:12:41.079
<v Speaker 4>It's on technology.

0:12:41.120 --> 0:12:43.800
<v Speaker 2>It's also far easier to then become a reality, as

0:12:43.800 --> 0:12:45.840
<v Speaker 2>you're able to whip out your deposits that much faster

0:12:46.040 --> 0:12:49.000
<v Speaker 2>using your bank cap. But ultimately the foundation of these

0:12:49.040 --> 0:12:52.080
<v Speaker 2>banks aren't nearly as concerning. There isn't so much of

0:12:52.120 --> 0:12:55.520
<v Speaker 2>an isolated focus on one particular type of borrower and

0:12:55.559 --> 0:12:58.760
<v Speaker 2>one particular type of overall integrated system that just lean

0:12:58.880 --> 0:13:01.480
<v Speaker 2>to back to the overall tech scenes. But we are

0:13:01.520 --> 0:13:04.920
<v Speaker 2>still questioning ultimately the solidity of the entire financial system

0:13:05.000 --> 0:13:05.360
<v Speaker 2>right now.

0:13:05.920 --> 0:13:08.040
<v Speaker 3>Look, when Jamie Diamond and JP Morgan stepped inim with

0:13:08.080 --> 0:13:10.960
<v Speaker 3>First Republic, he was confident it would settle things down

0:13:11.320 --> 0:13:12.840
<v Speaker 3>in the near tub settle things down.

0:13:14.520 --> 0:13:18.320
<v Speaker 2>President Biden is currently making comments about what was a

0:13:18.320 --> 0:13:22.320
<v Speaker 2>particularly strong set of jobs numbers today now with two

0:13:22.440 --> 0:13:25.000
<v Speaker 2>hundred and fifty three thousand jobs being added, that was

0:13:25.080 --> 0:13:29.240
<v Speaker 2>well above I mean, it's sawed past most economist expectations

0:13:29.280 --> 0:13:31.640
<v Speaker 2>all but three of the seventy seven survey by Bloomberg.

0:13:31.679 --> 0:13:33.600
<v Speaker 2>You got health and education jobs to thanks for this.

0:13:33.960 --> 0:13:37.520
<v Speaker 2>But notably, we're still seeing pretty strong hourly earnings coming in.

0:13:37.559 --> 0:13:38.160
<v Speaker 4>They're coming in hot.

0:13:38.200 --> 0:13:40.080
<v Speaker 2>That's an inflatory pressure for the federal Reserve to have

0:13:40.120 --> 0:13:43.400
<v Speaker 2>to tackle. Notably, also there is an equality within once

0:13:43.440 --> 0:13:47.160
<v Speaker 2>again a really low unemployment rate. When you're looking at overall,

0:13:47.200 --> 0:13:49.320
<v Speaker 2>you're still seeing black unemployment rate at four point seven

0:13:49.320 --> 0:13:52.880
<v Speaker 2>percent visa a white unemployment level at three point one percent.

0:13:52.960 --> 0:13:53.640
<v Speaker 4>But overall we.

0:13:53.600 --> 0:13:57.440
<v Speaker 2>Did see unemployment coming in once again relatively low. This

0:13:57.480 --> 0:13:59.920
<v Speaker 2>is a strong jobs market, even as we see the

0:14:00.240 --> 0:14:03.000
<v Speaker 2>Reserve continue to raise rates. With hearing from President Biden,

0:14:03.040 --> 0:14:05.600
<v Speaker 2>we understand Treasure Sectory Janet Yellen is with him.

0:14:05.640 --> 0:14:06.280
<v Speaker 6>To Ed.

0:14:07.840 --> 0:14:10.680
<v Speaker 3>Caroline, taking a little look at shares of Yelp. We're

0:14:10.840 --> 0:14:13.760
<v Speaker 3>hire two tens of percent off. The online review company

0:14:14.000 --> 0:14:16.280
<v Speaker 3>posted first quarter revenue that did come in ahead of

0:14:16.280 --> 0:14:19.479
<v Speaker 3>analysts expectations. Joining me here on set in San Francisco,

0:14:19.600 --> 0:14:26.200
<v Speaker 3>Yelp CFO David Schwartzbuck. David, you talk about high intent users.

0:14:27.080 --> 0:14:27.880
<v Speaker 6>What does that mean?

0:14:28.440 --> 0:14:29.880
<v Speaker 1>First, Ed, it's great to be here.

0:14:29.960 --> 0:14:33.200
<v Speaker 8>Thanks high intent users. When someone comes to Yelp, they

0:14:33.200 --> 0:14:36.440
<v Speaker 8>actually tell us what they're looking for. It could be landscaping,

0:14:36.520 --> 0:14:39.640
<v Speaker 8>it could be a locksmith, and so that actually enables

0:14:39.720 --> 0:14:42.560
<v Speaker 8>us to really match that consumer with the right service

0:14:42.600 --> 0:14:45.520
<v Speaker 8>pro when they come. And also it's important to recognize

0:14:45.560 --> 0:14:48.480
<v Speaker 8>nearly half of our visitors come from households with income

0:14:48.520 --> 0:14:50.760
<v Speaker 8>over one hundred thousand dollars. So that's a great audience

0:14:50.800 --> 0:14:51.960
<v Speaker 8>for advertisers to reach.

0:14:52.320 --> 0:14:55.280
<v Speaker 3>When we look at your earnings and your outlook going forward,

0:14:55.720 --> 0:14:58.760
<v Speaker 3>what does it tell us about engagement from the consumer

0:14:58.800 --> 0:15:00.880
<v Speaker 3>and platforms like you? They are they kind of penny

0:15:00.880 --> 0:15:04.880
<v Speaker 3>pinching right now and looking for the most reliable, valuable

0:15:04.880 --> 0:15:08.560
<v Speaker 3>deals across all kinds of things or is this just

0:15:08.600 --> 0:15:11.000
<v Speaker 3>a robust growth in use of platforms like yours.

0:15:11.520 --> 0:15:15.080
<v Speaker 8>So what is certainly true is inflation is making things

0:15:15.120 --> 0:15:17.760
<v Speaker 8>more expensive, and so I think overall consumers are spending

0:15:17.920 --> 0:15:20.560
<v Speaker 8>about the same amount but less frequently.

0:15:20.920 --> 0:15:22.120
<v Speaker 6>So they're really.

0:15:21.960 --> 0:15:24.640
<v Speaker 8>Focused on ensuring they make a good decision, and what

0:15:24.760 --> 0:15:28.680
<v Speaker 8>Yelp provides them is with reliable information to make that purchase.

0:15:28.400 --> 0:15:34.800
<v Speaker 2>Decision, David, advertisers, are they willing to invest? Are they

0:15:35.040 --> 0:15:36.160
<v Speaker 2>feeling confident in the moment?

0:15:36.200 --> 0:15:36.920
<v Speaker 4>What's your assessment?

0:15:38.400 --> 0:15:42.600
<v Speaker 8>So we obviously serve both large enterprise customers or advertisers

0:15:42.680 --> 0:15:46.240
<v Speaker 8>as well as small and medium businesses. And what we

0:15:46.320 --> 0:15:49.320
<v Speaker 8>see on the services side, as things have slowed down

0:15:49.320 --> 0:15:51.600
<v Speaker 8>a little bit, service pros want to stay busy and

0:15:51.640 --> 0:15:54.120
<v Speaker 8>so they've actually increased their ad spend, and what we've

0:15:54.120 --> 0:15:57.400
<v Speaker 8>seen on Yelp is that their spend per pain advertising

0:15:57.480 --> 0:16:00.360
<v Speaker 8>location has gone up so that they can stay busy.

0:16:00.400 --> 0:16:03.360
<v Speaker 8>And of course we believe that with our high intent audience,

0:16:03.360 --> 0:16:05.880
<v Speaker 8>we're able to match them with a great lead that

0:16:06.000 --> 0:16:07.080
<v Speaker 8>leads to business for them.

0:16:07.640 --> 0:16:11.520
<v Speaker 2>Got to ask it, artificial intelligence, what are you doing

0:16:11.520 --> 0:16:13.680
<v Speaker 2>to incorporate that within the business. How have you got

0:16:13.720 --> 0:16:16.240
<v Speaker 2>the right talent to ensure you can enact that sort

0:16:16.240 --> 0:16:16.960
<v Speaker 2>of entertwinement.

0:16:18.400 --> 0:16:21.800
<v Speaker 8>So we have been using artificial intelligence for some time.

0:16:21.920 --> 0:16:25.560
<v Speaker 8>Of course, everybody's talking about chat, GPT and these new

0:16:25.680 --> 0:16:29.440
<v Speaker 8>large language models, but for our search experience for matching

0:16:29.480 --> 0:16:32.720
<v Speaker 8>consumers with pros, we've been applying AI for some time.

0:16:32.800 --> 0:16:35.120
<v Speaker 8>We have both the infrastructure and the ability to deliver

0:16:35.200 --> 0:16:37.880
<v Speaker 8>that to the consumer when they visit the site. Now,

0:16:38.320 --> 0:16:42.440
<v Speaker 8>large language models making that interaction more conversational. We think

0:16:42.480 --> 0:16:44.960
<v Speaker 8>that's a great opportunity for us, and we're looking forward

0:16:44.960 --> 0:16:46.640
<v Speaker 8>to deploying it. It's still early.

0:16:46.400 --> 0:16:49.600
<v Speaker 3>Though, David shares up half of percent. We're up significantly

0:16:49.640 --> 0:16:51.840
<v Speaker 3>higher earlier in the session three point six percent. I

0:16:51.880 --> 0:16:54.920
<v Speaker 3>covered QSRs for a really long time. Restaurant industry There's

0:16:54.960 --> 0:16:58.040
<v Speaker 3>a titbit that really fascinates me, which is that when

0:16:58.080 --> 0:17:01.440
<v Speaker 3>you go to Yelp, you can look for into restaurants normally.

0:17:02.080 --> 0:17:04.439
<v Speaker 3>Is their data telling you that actually now people are

0:17:04.440 --> 0:17:09.400
<v Speaker 3>looking at chains because of the value proposition. It seems

0:17:09.440 --> 0:17:13.560
<v Speaker 3>like there is evidence that actually consumers a looking for value.

0:17:14.119 --> 0:17:17.440
<v Speaker 8>There's definitely been a lot of talk about consumers choosing

0:17:17.480 --> 0:17:20.760
<v Speaker 8>to go to quick serve restaurants on Yelp. Though when

0:17:20.800 --> 0:17:23.520
<v Speaker 8>people are coming, they're really looking to find that hot

0:17:23.560 --> 0:17:26.440
<v Speaker 8>and new restaurant or something that's different, or if they're

0:17:26.480 --> 0:17:28.959
<v Speaker 8>going out on a Friday night. Of course, people are

0:17:29.040 --> 0:17:32.159
<v Speaker 8>very familiar with these large, quick serve restaurants, and so

0:17:32.400 --> 0:17:34.520
<v Speaker 8>that's not the first thing they're searching for on Yelp.

0:17:34.680 --> 0:17:38.199
<v Speaker 8>We are seeing continued interest, of course in sit down dining,

0:17:38.400 --> 0:17:40.320
<v Speaker 8>and people want to make sure that experience is great,

0:17:40.359 --> 0:17:42.320
<v Speaker 8>so again they come for our reliable reviews.

0:17:43.119 --> 0:17:47.439
<v Speaker 2>What is your key competition at the moment from your perspective, David,

0:17:47.480 --> 0:17:49.720
<v Speaker 2>Because dare I say it, and I mean this with

0:17:49.760 --> 0:17:52.760
<v Speaker 2>full affection for things yelp, but it's pretty old school

0:17:52.800 --> 0:17:55.600
<v Speaker 2>for many people. How are you feeling that it's still yeah?

0:17:55.600 --> 0:17:58.040
<v Speaker 2>How do you feel that the younger generation are interacting

0:17:58.080 --> 0:17:59.879
<v Speaker 2>with it. Are you feeling that you're remaining as relevant

0:18:00.119 --> 0:18:02.240
<v Speaker 2>present when everyone seems to be turning into different ways

0:18:02.240 --> 0:18:04.280
<v Speaker 2>to search? I mean Instagram for one example.

0:18:05.720 --> 0:18:08.119
<v Speaker 8>So one of the things that we have it Yelp

0:18:08.200 --> 0:18:12.760
<v Speaker 8>is actually an even distribution of consumers across each of

0:18:12.760 --> 0:18:15.680
<v Speaker 8>the three large age groups eighteen to thirty four, thirty

0:18:15.680 --> 0:18:18.159
<v Speaker 8>four to fifty four, above, fifty five and above. So

0:18:18.440 --> 0:18:21.200
<v Speaker 8>actually folks who are younger are using us because they

0:18:21.320 --> 0:18:22.480
<v Speaker 8>want to spend their money.

0:18:22.520 --> 0:18:22.720
<v Speaker 6>Well.

0:18:22.800 --> 0:18:26.120
<v Speaker 8>Now, obviously video reviews on some of the other platforms,

0:18:26.359 --> 0:18:29.080
<v Speaker 8>or reviews that through a post that are gain a

0:18:29.119 --> 0:18:32.080
<v Speaker 8>lot of attention, but completeness is very important. When you're

0:18:32.119 --> 0:18:34.080
<v Speaker 8>going out. You want to ensure that you actually have

0:18:34.200 --> 0:18:36.239
<v Speaker 8>a sense for all the things that you could do,

0:18:36.680 --> 0:18:40.520
<v Speaker 8>and Yelp is that complete. So we delivered thirteen percent

0:18:40.560 --> 0:18:43.679
<v Speaker 8>growth in the first quarter. We think that was terrific performance.

0:18:44.119 --> 0:18:46.880
<v Speaker 8>More than sixty percent of our revenue comes from services,

0:18:46.920 --> 0:18:49.240
<v Speaker 8>and so while we're known for the restaurant side, we

0:18:49.359 --> 0:18:52.320
<v Speaker 8>really have been taking share on the services side.

0:18:52.359 --> 0:18:55.240
<v Speaker 3>All right, Yelp, CFI David Schwoltzbeck, thank you so much, Carrie.

0:18:55.320 --> 0:18:57.600
<v Speaker 2>Some bringing ease Yeah, let's look at First Republic Bank,

0:18:57.640 --> 0:18:59.919
<v Speaker 2>because of course we understand that the SEC is investigating

0:19:00.240 --> 0:19:03.880
<v Speaker 2>actually the conduct of executives there before the government seizure.

0:19:03.880 --> 0:19:07.840
<v Speaker 2>There was some reporting, some discussion about basically the sale

0:19:08.200 --> 0:19:12.080
<v Speaker 2>of certain assets and indeed holdings, and all of this

0:19:12.160 --> 0:19:14.560
<v Speaker 2>is ahead of what's now been brought up by JP Morgan.

0:19:14.600 --> 0:19:16.200
<v Speaker 2>The SEC is looking to whether any members of the

0:19:16.240 --> 0:19:20.679
<v Speaker 2>executive team at First Republic improperly traded ed on inside information.

0:19:20.960 --> 0:19:23.560
<v Speaker 2>So we're going to be covering that particular story. We're

0:19:23.600 --> 0:19:25.720
<v Speaker 2>also going to be going broader into the macro situation

0:19:25.800 --> 0:19:28.280
<v Speaker 2>because we're knowing the administration. We know the FAIR is

0:19:28.320 --> 0:19:30.280
<v Speaker 2>looking at the banking sector, but the administration is also

0:19:30.359 --> 0:19:32.520
<v Speaker 2>rather gloating at this job's number today, So we understand

0:19:32.520 --> 0:19:34.600
<v Speaker 2>that President Biden is really out there discussing there's two

0:19:34.640 --> 0:19:38.040
<v Speaker 2>hundred and fifty three thousand number added to jobs, that

0:19:38.080 --> 0:19:41.520
<v Speaker 2>there's still inflationary pressure within that. So keep a close sign.

0:19:41.560 --> 0:19:43.959
<v Speaker 2>While President Biden has been saying today we had some

0:19:44.080 --> 0:19:47.040
<v Speaker 2>live discussion there, but overall he is holding a cabinet

0:19:47.080 --> 0:19:50.000
<v Speaker 2>meeting speaking about more to do with the trend that

0:19:50.000 --> 0:19:53.199
<v Speaker 2>they think overall inflation is trending in the right direction,

0:19:53.520 --> 0:19:55.440
<v Speaker 2>from New York, from San Francisco, Afrol.

0:19:55.200 --> 0:19:56.359
<v Speaker 4>Washington, a sublimband.

0:20:10.119 --> 0:20:12.000
<v Speaker 2>It is time now for talking tech and we're going

0:20:12.040 --> 0:20:15.200
<v Speaker 2>to start with software ag shares falling after the German

0:20:15.240 --> 0:20:18.399
<v Speaker 2>company Look refused to enter talks with a rival bidder

0:20:18.440 --> 0:20:21.359
<v Speaker 2>for the company and said that it's supporting an increased

0:20:21.520 --> 0:20:24.760
<v Speaker 2>two point six billion dollar Tacos offer for the existing backer,

0:20:24.880 --> 0:20:28.480
<v Speaker 2>Silver Lake Management. Meanwhile, billionaire tech investor Peter Thiel is

0:20:28.640 --> 0:20:31.320
<v Speaker 2>reluctant to move his operations from Silicon Valley to Florida.

0:20:31.359 --> 0:20:34.720
<v Speaker 2>Why he's staying on a podcast on Wednesday, housing prices

0:20:34.960 --> 0:20:37.480
<v Speaker 2>with Sword compared to three years ago. It would just

0:20:37.520 --> 0:20:40.679
<v Speaker 2>be too costly to make the move. And finally, New

0:20:40.800 --> 0:20:44.040
<v Speaker 2>York Attorney General the Tisha James proposing a state law

0:20:44.320 --> 0:20:47.919
<v Speaker 2>to titan rules over cryptocurrencies in her latest swing in

0:20:47.920 --> 0:20:50.760
<v Speaker 2>an industry that she claims is suffering from rampant forward

0:20:51.200 --> 0:20:54.680
<v Speaker 2>and dysfunction ed. Is really interesting overall that we are

0:20:54.720 --> 0:20:58.199
<v Speaker 2>seeing this focus at the moment on crypto coming from

0:20:58.240 --> 0:21:00.480
<v Speaker 2>Tis James. She spoke about it way back at the

0:21:00.520 --> 0:21:02.320
<v Speaker 2>beginning of the year. She has really been thinking about

0:21:02.560 --> 0:21:05.119
<v Speaker 2>an inequality lens, worrying about people of color, about the

0:21:05.119 --> 0:21:06.160
<v Speaker 2>lowest income that have been hit.

0:21:06.240 --> 0:21:07.800
<v Speaker 4>Interesting dichotomy when you're.

0:21:07.720 --> 0:21:11.160
<v Speaker 2>Looking at, well, the New York mayor who's been trying

0:21:11.160 --> 0:21:13.120
<v Speaker 2>to take pay in bitcoin, when you're trying to build

0:21:13.200 --> 0:21:15.240
<v Speaker 2>up the situation of crypto.

0:21:14.920 --> 0:21:15.520
<v Speaker 4>Here in New York.

0:21:16.520 --> 0:21:18.520
<v Speaker 3>Yeah, and what we're hearing from those people that are

0:21:18.560 --> 0:21:21.000
<v Speaker 3>in the crypto hype cycle, they're now looking at AI.

0:21:21.080 --> 0:21:23.720
<v Speaker 3>But what they have in common is the regulation top

0:21:23.720 --> 0:21:23.960
<v Speaker 3>of mind.

0:21:24.000 --> 0:21:24.480
<v Speaker 6>Have a listen.

0:21:26.720 --> 0:21:29.240
<v Speaker 9>I think the biggest mistake that was made in crypto

0:21:29.600 --> 0:21:33.879
<v Speaker 9>was is and still is, just the absolute lack of

0:21:34.520 --> 0:21:37.840
<v Speaker 9>clear cut regulations so people know what the rules are

0:21:37.920 --> 0:21:38.240
<v Speaker 9>that they.

0:21:38.160 --> 0:21:40.760
<v Speaker 6>Should be playing by. I think that there were a

0:21:40.800 --> 0:21:41.160
<v Speaker 6>lot of.

0:21:41.119 --> 0:21:46.119
<v Speaker 9>Companies that were assuming that blockchain technology could be used

0:21:46.640 --> 0:21:49.240
<v Speaker 9>for a lot of different things that it really shouldn't

0:21:49.240 --> 0:21:49.879
<v Speaker 9>have been used for.

0:21:49.920 --> 0:21:53.840
<v Speaker 10>It From New York and San Francisco, this is Bloomberg,

0:22:05.800 --> 0:22:07.240
<v Speaker 10>Welcome back to Bluebow Technology.

0:22:07.280 --> 0:22:08.280
<v Speaker 4>I'm Caroline Hyde in New.

0:22:08.280 --> 0:22:11.239
<v Speaker 3>York and ourmed Lovelow in San Francisco. There's a lot

0:22:11.280 --> 0:22:13.840
<v Speaker 3>going on in the market, especially for the technology sector,

0:22:13.960 --> 0:22:16.399
<v Speaker 3>data earnings. Let's talk about all of it. I think

0:22:16.440 --> 0:22:19.080
<v Speaker 3>we've got a lot of catalysts pushing us to the upside.

0:22:19.119 --> 0:22:21.439
<v Speaker 3>Look at the NASA one hundred up one point five percent.

0:22:21.480 --> 0:22:23.960
<v Speaker 3>A big part of that is the job's data coming

0:22:24.040 --> 0:22:29.440
<v Speaker 3>in strong above many broad expectations outperformance. In the semiconductor space,

0:22:29.480 --> 0:22:31.080
<v Speaker 3>we're kind of finding our feet a bit. We've had

0:22:31.119 --> 0:22:34.560
<v Speaker 3>downward pressure as a result of earnings Qualcom being laggered.

0:22:34.640 --> 0:22:37.200
<v Speaker 3>As an example, you see the US tenure yield climbing

0:22:37.240 --> 0:22:40.000
<v Speaker 3>seven basis points ten point four percent, but we are

0:22:40.119 --> 0:22:42.040
<v Speaker 3>way from that three point six percent level that we

0:22:42.040 --> 0:22:43.640
<v Speaker 3>were at just a week ago and where we were

0:22:43.640 --> 0:22:47.080
<v Speaker 3>holding for some time. Kind of risk on mentality sees

0:22:47.119 --> 0:22:50.199
<v Speaker 3>Bitcoin creep a little higher beyond twenty nine thousand US

0:22:50.280 --> 0:22:53.840
<v Speaker 3>dollars per token towards thirty thousand US dollars per token.

0:22:54.359 --> 0:22:58.719
<v Speaker 3>Interesting developments overnight. When it comes to AI, you talk

0:22:58.760 --> 0:23:01.200
<v Speaker 3>about the megacaps that are making moves, Apple biggest jumps

0:23:01.200 --> 0:23:04.080
<v Speaker 3>since November, moving on earnings, not so much about the

0:23:04.080 --> 0:23:07.520
<v Speaker 3>AI narrative. But I'm looking at alphabet Flat a slight

0:23:07.720 --> 0:23:12.000
<v Speaker 3>underperformer when it comes to its megacap tech piers. One

0:23:12.080 --> 0:23:15.560
<v Speaker 3>reason might be the disclosure of an internal document from

0:23:15.560 --> 0:23:18.560
<v Speaker 3>a concerned engineer about perhaps them falling behind. I think

0:23:18.600 --> 0:23:20.040
<v Speaker 3>that's one thing to look at later in the show.

0:23:20.280 --> 0:23:22.560
<v Speaker 2>That is a fascinating conversation We've got to get into

0:23:22.600 --> 0:23:24.920
<v Speaker 2>and on our spaces a bit later, ed. But meanwhile,

0:23:25.200 --> 0:23:27.920
<v Speaker 2>let's talk about the jobs Stata once again. Here they're

0:23:27.920 --> 0:23:30.359
<v Speaker 2>now showing real strength. A is a A two hundred fifty

0:23:30.359 --> 0:23:32.600
<v Speaker 2>three thousand jobs added in the US market. Where is

0:23:32.680 --> 0:23:36.320
<v Speaker 2>the demand coming from technology in particular, It's definitely on

0:23:36.359 --> 0:23:38.600
<v Speaker 2>the minds of recent college graduates. So for more insight

0:23:38.680 --> 0:23:41.640
<v Speaker 2>on what they are thinking about, let's bring in Handshake

0:23:41.720 --> 0:23:45.160
<v Speaker 2>CEO Garrett Lord. Handshaker is a network and recruiting platform

0:23:45.200 --> 0:23:47.399
<v Speaker 2>for early career talent. And look, they just put out

0:23:47.440 --> 0:23:50.400
<v Speaker 2>their latest report on what they see in job search trends.

0:23:50.480 --> 0:23:53.639
<v Speaker 2>Young people fresh out of school are willing and able

0:23:53.720 --> 0:23:56.600
<v Speaker 2>to see that their workplace is going to be disrupted, Garrett.

0:23:56.640 --> 0:24:00.440
<v Speaker 2>And to that end, how are we seeing people change

0:24:00.480 --> 0:24:01.000
<v Speaker 2>their search?

0:24:01.040 --> 0:24:03.000
<v Speaker 4>Are they all aware.

0:24:02.880 --> 0:24:04.800
<v Speaker 2>That General to AI is going to change the game,

0:24:04.840 --> 0:24:06.199
<v Speaker 2>and are they trying to pret themselves for that?

0:24:06.359 --> 0:24:07.760
<v Speaker 11>Yeah, well, I mean you have to imagine what it

0:24:07.800 --> 0:24:09.600
<v Speaker 11>was like being a college student in the last four years.

0:24:09.840 --> 0:24:12.639
<v Speaker 11>I mean, there was a global pandemic. You got to

0:24:12.640 --> 0:24:15.280
<v Speaker 11>send home, you had to learn how to learn from home.

0:24:15.800 --> 0:24:17.320
<v Speaker 11>Then you thought the economy was going to crash, but

0:24:17.400 --> 0:24:20.480
<v Speaker 11>the economy started booming. And now fast forward today where

0:24:20.680 --> 0:24:23.840
<v Speaker 11>a lot of students the headlines are companies that are

0:24:23.920 --> 0:24:26.960
<v Speaker 11>laying off employees and so students says, you might imagine

0:24:27.000 --> 0:24:30.480
<v Speaker 11>they're very resilient. But now more so than ever, are

0:24:30.480 --> 0:24:33.040
<v Speaker 11>the interested in working in industries the value stability. I mean,

0:24:33.080 --> 0:24:35.800
<v Speaker 11>students are looking at companies that you know, eighty four

0:24:35.800 --> 0:24:38.560
<v Speaker 11>percent of them want a company that is really highlighting

0:24:38.600 --> 0:24:41.919
<v Speaker 11>how stable of opportunities are. Students are also expanding the

0:24:41.920 --> 0:24:44.720
<v Speaker 11>horizon to new industries. So students are forty percent more

0:24:44.800 --> 0:24:47.800
<v Speaker 11>likely to applied industries that they hadn't considered before. So

0:24:48.080 --> 0:24:50.640
<v Speaker 11>I think the dream job is like shifting right now

0:24:50.720 --> 0:24:51.320
<v Speaker 11>in real time.

0:24:51.920 --> 0:24:54.359
<v Speaker 2>What's interesting is, well, defense seems to be an area

0:24:54.400 --> 0:24:56.919
<v Speaker 2>that they're going into and speak nothing about geopolitics on that.

0:24:57.000 --> 0:24:59.480
<v Speaker 2>But Raytheon was really trending up two hundred percent in

0:24:59.560 --> 0:25:03.120
<v Speaker 2>terms of search is but Nike, Toyota, they're resilient brands.

0:25:03.600 --> 0:25:06.560
<v Speaker 2>Are they therefore not looking for jobs at big tech

0:25:06.600 --> 0:25:09.040
<v Speaker 2>companies given some of the headlines around layoffs, Well.

0:25:08.960 --> 0:25:11.199
<v Speaker 11>I think big tech searches are down fifteen percent year

0:25:11.240 --> 0:25:13.919
<v Speaker 11>on year. Big tech is still very much hiring in

0:25:13.920 --> 0:25:16.080
<v Speaker 11>college today, but I think the dream job is like

0:25:16.160 --> 0:25:19.000
<v Speaker 11>really shifting. So I coming back to like the dream

0:25:19.080 --> 0:25:21.200
<v Speaker 11>job might be working in evs at General Motors, or

0:25:21.200 --> 0:25:23.919
<v Speaker 11>working in robotics at Johnson and Johnson, or you know

0:25:23.960 --> 0:25:25.879
<v Speaker 11>a fun story you talk about Ratheon, Like there's a

0:25:25.920 --> 0:25:27.720
<v Speaker 11>student I just talked to you earlier this week named

0:25:27.800 --> 0:25:30.920
<v Speaker 11>Wes who went to a small aeronautical school in Florida,

0:25:31.160 --> 0:25:33.719
<v Speaker 11>and he built his profile and handshake, got a message

0:25:33.720 --> 0:25:36.080
<v Speaker 11>from Raytheon and fast forward a week later he's got

0:25:36.080 --> 0:25:38.200
<v Speaker 11>an internship offer and is actually going to work there.

0:25:38.280 --> 0:25:42.000
<v Speaker 11>So that's an example of like connecting companies that view

0:25:42.000 --> 0:25:44.240
<v Speaker 11>this moment as an opportunity to go on the offensive.

0:25:44.560 --> 0:25:47.959
<v Speaker 11>Like big tech, yes is pulling back in terms of

0:25:48.119 --> 0:25:51.560
<v Speaker 11>overall demand from students, but companies view this as like

0:25:51.600 --> 0:25:55.080
<v Speaker 11>an offensive opportunity to win top talent. So just this week,

0:25:55.160 --> 0:25:56.280
<v Speaker 11>like publicly.

0:25:56.240 --> 0:25:56.640
<v Speaker 1>John.

0:25:59.119 --> 0:26:03.280
<v Speaker 11>JP Morgan and Fidelity talked about publicly increasing the number

0:26:03.320 --> 0:26:05.560
<v Speaker 11>of early talent hires they're making, so they view this

0:26:05.560 --> 0:26:07.000
<v Speaker 11>as an opportunity to pick up top talent.

0:26:07.440 --> 0:26:09.919
<v Speaker 2>Really interesting and ed, I have to think at the

0:26:09.920 --> 0:26:12.560
<v Speaker 2>moment what was interesting in the stats was also Capital

0:26:12.600 --> 0:26:15.399
<v Speaker 2>One was being highly sought after. Bank of America Morgan Stamley.

0:26:15.440 --> 0:26:18.359
<v Speaker 2>I wonder if the current situation around banks is going.

0:26:18.240 --> 0:26:19.720
<v Speaker 4>To change that in terms of demand.

0:26:20.240 --> 0:26:22.919
<v Speaker 3>Yeah, I find it so interesting because the headlines are

0:26:22.960 --> 0:26:26.040
<v Speaker 3>about chaos and volatility and technology with the layoffs in

0:26:26.080 --> 0:26:30.399
<v Speaker 3>the banking sector around SVB. But Garrett, what I'm actually

0:26:30.440 --> 0:26:34.680
<v Speaker 3>interested is the speed in which those young people are

0:26:34.760 --> 0:26:37.000
<v Speaker 3>finding jobs in those sectors. Is it a case of, Oh,

0:26:37.119 --> 0:26:38.840
<v Speaker 3>the opportunities there for me, and they take it.

0:26:40.000 --> 0:26:43.399
<v Speaker 11>I mean, the students are very much interested in banking still.

0:26:43.480 --> 0:26:46.960
<v Speaker 11>I mean, JP Morgan has increased publicly the number of

0:26:47.000 --> 0:26:49.639
<v Speaker 11>opportunities that they're posting on the network. They're hiring more

0:26:49.680 --> 0:26:52.160
<v Speaker 11>software injurers than ever before, They're hiring more data scientists

0:26:52.160 --> 0:26:55.240
<v Speaker 11>than ever before. And students really are interested in working

0:26:55.240 --> 0:27:00.000
<v Speaker 11>in finance. I think obviously the news cycles are dominating students,

0:27:00.119 --> 0:27:02.120
<v Speaker 11>chair but there are still tons of students that want

0:27:02.119 --> 0:27:02.880
<v Speaker 11>to work in finance.

0:27:04.119 --> 0:27:06.240
<v Speaker 3>I'm looking at some of the companies that are being

0:27:06.280 --> 0:27:08.280
<v Speaker 3>sold out. I know we've been over many of them.

0:27:08.600 --> 0:27:13.040
<v Speaker 3>You're talking about Rayfia and Nike, Toyota, Boeing, Chevron. Tell

0:27:13.080 --> 0:27:15.320
<v Speaker 3>me what all of those have in common? What is

0:27:15.359 --> 0:27:19.360
<v Speaker 3>it that makes them interesting to a young person seeking

0:27:19.680 --> 0:27:20.760
<v Speaker 3>a modern day job.

0:27:21.600 --> 0:27:23.239
<v Speaker 11>I think students really want to understand what a day

0:27:23.240 --> 0:27:25.000
<v Speaker 11>in the life looks like at a company, and so

0:27:25.119 --> 0:27:26.879
<v Speaker 11>what that really means is like, what are other students

0:27:27.080 --> 0:27:30.800
<v Speaker 11>like them doing that have been there a year, eighteen months,

0:27:31.080 --> 0:27:32.880
<v Speaker 11>What does their day in life look like, what skills

0:27:32.880 --> 0:27:36.480
<v Speaker 11>are they learning, what exit opportunities are available inside of

0:27:36.520 --> 0:27:39.639
<v Speaker 11>the company. They're really interested in understanding what the mission

0:27:39.720 --> 0:27:41.400
<v Speaker 11>of the company and the impact.

0:27:41.080 --> 0:27:42.480
<v Speaker 6>That companies make me on the world.

0:27:42.560 --> 0:27:45.800
<v Speaker 11>They care more about that than they care more about

0:27:45.800 --> 0:27:48.920
<v Speaker 11>mission than actually salary in most situations. So I think

0:27:49.000 --> 0:27:51.480
<v Speaker 11>companies that bring a personal approach to sharing what the

0:27:51.480 --> 0:27:53.520
<v Speaker 11>culture looks like and the impact they're making on the

0:27:53.520 --> 0:27:56.200
<v Speaker 11>world is a really important facet of those companies.

0:27:56.640 --> 0:28:00.720
<v Speaker 2>Your mission a handshake is to democratize access to opportunity. Now,

0:28:00.840 --> 0:28:04.080
<v Speaker 2>when I look at the jobs data today, record unemployment,

0:28:04.520 --> 0:28:07.119
<v Speaker 2>so low level of unemployment for black people in particular

0:28:07.200 --> 0:28:09.119
<v Speaker 2>four point seve percent, but there's still a big disparity

0:28:09.160 --> 0:28:11.439
<v Speaker 2>between white unemployment, which is three point one percent, and

0:28:11.440 --> 0:28:14.280
<v Speaker 2>black unemployment is four point seven percent. I'm interested in

0:28:14.640 --> 0:28:18.439
<v Speaker 2>whether you're seeing the mission being around equality, the mission

0:28:18.480 --> 0:28:21.399
<v Speaker 2>being around bringing in all types of people from whatever

0:28:21.560 --> 0:28:25.359
<v Speaker 2>education background, and particularly minorities in this economic environment, or

0:28:25.359 --> 0:28:27.880
<v Speaker 2>whether unfortunately that goes to the backseat as we see

0:28:27.880 --> 0:28:31.280
<v Speaker 2>perhaps VC dollars going to diverse founders.

0:28:32.880 --> 0:28:35.440
<v Speaker 11>I mean, companies are so focused on trying to build

0:28:35.440 --> 0:28:39.520
<v Speaker 11>representation and build the future leadership of their company. Many companies,

0:28:39.520 --> 0:28:41.400
<v Speaker 11>in order to hire fift percent women, they really want

0:28:41.400 --> 0:28:43.360
<v Speaker 11>to have fifty percent applicants in order to hire fift

0:28:43.360 --> 0:28:45.200
<v Speaker 11>percent women. Or if they want to hire thirteen percent

0:28:45.240 --> 0:28:48.320
<v Speaker 11>black college students, it's important to have thirteen percent applying.

0:28:48.360 --> 0:28:50.640
<v Speaker 11>And so many companies are trying to be really proactive

0:28:50.720 --> 0:28:53.520
<v Speaker 11>in shape their early talent programs to be able to

0:28:53.560 --> 0:28:56.880
<v Speaker 11>have enough women and enough unrepresented students so they can

0:28:56.920 --> 0:28:59.200
<v Speaker 11>cultivate and build those leaders internally. And so that's how

0:28:59.240 --> 0:29:03.320
<v Speaker 11>companies use hand is really focused on great, resilient, amazing

0:29:03.320 --> 0:29:05.720
<v Speaker 11>talent and also diverse talent. And I think that very

0:29:05.800 --> 0:29:07.600
<v Speaker 11>much connects to like my story, I mean, I was

0:29:08.040 --> 0:29:09.840
<v Speaker 11>I grew up in a blue cour family. I went

0:29:09.840 --> 0:29:12.400
<v Speaker 11>to community college for two years. The mission of our

0:29:12.440 --> 0:29:14.600
<v Speaker 11>company and why everyone goes to work every day. Is

0:29:14.640 --> 0:29:17.520
<v Speaker 11>really around expanding access to students all across the country,

0:29:17.800 --> 0:29:20.200
<v Speaker 11>because I mean, so much about this is like in

0:29:20.280 --> 0:29:21.800
<v Speaker 11>the way the world works. It's like who you know,

0:29:22.480 --> 0:29:24.560
<v Speaker 11>or you know what your parents do, or what school

0:29:24.600 --> 0:29:27.880
<v Speaker 11>you go to. Talent's really everywhere and opportunity is in.

0:29:27.920 --> 0:29:31.120
<v Speaker 11>And so I think Handshake is really helping companies connect

0:29:31.160 --> 0:29:34.479
<v Speaker 11>with talent everywhere and to bolster the representation of their

0:29:34.520 --> 0:29:36.960
<v Speaker 11>classes and to build the future workforce of tomorrow.

0:29:38.040 --> 0:29:40.320
<v Speaker 3>Handshake CEO and co found it, Garrett Lord, I think

0:29:40.320 --> 0:29:42.160
<v Speaker 3>that gives us kind of the boots on the digital

0:29:42.200 --> 0:29:44.480
<v Speaker 3>ground of how the next gen of tech talent are

0:29:44.480 --> 0:29:45.160
<v Speaker 3>looking for jobs.

0:29:45.200 --> 0:29:46.680
<v Speaker 6>Thank you so much for the time.

0:29:46.720 --> 0:29:48.600
<v Speaker 3>I want to keep talking about AI, with the White

0:29:48.600 --> 0:29:52.680
<v Speaker 3>House saying it would support new regulations or legislation to

0:29:52.840 --> 0:29:55.560
<v Speaker 3>mitigate the potential harms from AI. That's after, of course,

0:29:55.800 --> 0:29:59.000
<v Speaker 3>Vice President Kamala Harris met with the CEOs of Alphabet, Microsoft,

0:29:59.240 --> 0:30:02.840
<v Speaker 3>Open AI, and Anthropic yesterday. I want to break that

0:30:02.920 --> 0:30:06.000
<v Speaker 3>all down in some other developments with Bloomberg's Rachel met

0:30:06.280 --> 0:30:09.680
<v Speaker 3>the Bloomberg AI reporter. I mean, let's start. I saw

0:30:09.720 --> 0:30:12.320
<v Speaker 3>a tweet that you did. Oh there was somebody missing

0:30:12.400 --> 0:30:14.640
<v Speaker 3>from that meeting? Yes, who was that?

0:30:15.600 --> 0:30:18.560
<v Speaker 12>Well missing but popped in? That would be the President.

0:30:18.960 --> 0:30:20.560
<v Speaker 6>Oh I thought I was going to go with Zuckerberg.

0:30:20.600 --> 0:30:22.479
<v Speaker 3>Okay, go with your president.

0:30:22.480 --> 0:30:23.080
<v Speaker 6>Thought that's fine.

0:30:23.240 --> 0:30:23.960
<v Speaker 4>Oh sorry, I know.

0:30:24.040 --> 0:30:26.720
<v Speaker 12>I saw a tweet from the President who said he

0:30:27.560 --> 0:30:29.680
<v Speaker 12>stopped in on the meeting, and I actually thought that

0:30:29.720 --> 0:30:32.280
<v Speaker 12>was surprising that he wasn't a part of the meeting,

0:30:32.280 --> 0:30:34.880
<v Speaker 12>because the White House is saying like how important this is,

0:30:34.960 --> 0:30:37.040
<v Speaker 12>and a lot of companies are also saying how important

0:30:37.080 --> 0:30:41.320
<v Speaker 12>it is to talk about coming up with legislation and

0:30:41.040 --> 0:30:43.520
<v Speaker 12>just just for the government to learn more about how

0:30:43.560 --> 0:30:45.480
<v Speaker 12>these technologies are working as their revolving question.

0:30:45.520 --> 0:30:48.000
<v Speaker 3>So you have Sam Altman, Sunder Pitch Eye, and Satching

0:30:48.040 --> 0:30:50.400
<v Speaker 3>Adela in a room with the Vice president and at

0:30:50.440 --> 0:30:54.560
<v Speaker 3>one moment the president and Mark Zuckerberg is not there. Yes,

0:30:54.960 --> 0:30:57.160
<v Speaker 3>why is that significant? I think the point you raise

0:30:57.440 --> 0:31:00.880
<v Speaker 3>is that Meta has a lot of people working in AI.

0:31:01.080 --> 0:31:04.360
<v Speaker 12>Oh yeah, Meta has long been in AI. Meta has

0:31:04.400 --> 0:31:08.320
<v Speaker 12>been researching AI, using AI in its products for I

0:31:08.320 --> 0:31:13.000
<v Speaker 12>mean the majority of the company's existence and a lot

0:31:13.040 --> 0:31:16.960
<v Speaker 12>of it's AI has been pushed out into the community

0:31:17.200 --> 0:31:19.880
<v Speaker 12>and used to develop other things. So Yeah, that is

0:31:20.280 --> 0:31:24.480
<v Speaker 12>a pretty big surprise for like just one data point,

0:31:24.680 --> 0:31:27.840
<v Speaker 12>a recent development from Meta called Lama, which is a

0:31:27.920 --> 0:31:32.800
<v Speaker 12>large language model that is being looked at very seriously

0:31:32.880 --> 0:31:34.640
<v Speaker 12>by a lot of people in the open source community

0:31:34.840 --> 0:31:37.640
<v Speaker 12>as a way to catch up with companies like open

0:31:37.680 --> 0:31:38.520
<v Speaker 12>Ai and Google.

0:31:39.040 --> 0:31:41.520
<v Speaker 4>But drill there from Omer Rachel.

0:31:41.600 --> 0:31:44.320
<v Speaker 2>So, I've been reading so many interesting Twitter threads today

0:31:45.040 --> 0:31:48.400
<v Speaker 2>about this leak that we've seen from Google in particular,

0:31:48.520 --> 0:31:52.040
<v Speaker 2>and a worry that basically everyone's behind the curve versus

0:31:52.200 --> 0:31:55.040
<v Speaker 2>open source data at the moment in terms of building

0:31:55.040 --> 0:31:56.320
<v Speaker 2>these large language models.

0:31:56.960 --> 0:31:59.280
<v Speaker 4>Within that sort of Twitter storms.

0:31:58.920 --> 0:32:01.479
<v Speaker 2>That I've been seeing is the fact that what was it, Lama,

0:32:01.960 --> 0:32:04.320
<v Speaker 2>the large language model over it Meta kind of got

0:32:04.360 --> 0:32:07.280
<v Speaker 2>leaked and is basically done Meta a huge service here.

0:32:08.640 --> 0:32:12.960
<v Speaker 12>Yeah, that's kind of interesting, isn't it. This model came

0:32:13.000 --> 0:32:17.080
<v Speaker 12>out in a way and that probably wasn't intentional, and

0:32:17.440 --> 0:32:21.440
<v Speaker 12>it has been used to bolster the ways that people

0:32:21.440 --> 0:32:24.360
<v Speaker 12>are developing large language models in the open source community,

0:32:24.960 --> 0:32:28.600
<v Speaker 12>which is a different sort of animal than a big

0:32:28.640 --> 0:32:31.000
<v Speaker 12>company like Google who would do that stuff privately, or

0:32:31.040 --> 0:32:34.080
<v Speaker 12>open Ai, which is also doing that privately. When things

0:32:34.120 --> 0:32:36.400
<v Speaker 12>are done in the open source community they can be

0:32:36.440 --> 0:32:40.720
<v Speaker 12>iterated on really quickly. They are tending to be less expensive,

0:32:41.120 --> 0:32:44.320
<v Speaker 12>and you just have way more eyes on these software products,

0:32:44.480 --> 0:32:46.960
<v Speaker 12>so you can have people either coming up with new

0:32:47.000 --> 0:32:49.400
<v Speaker 12>ways to do new things or new ways to fix

0:32:49.480 --> 0:32:52.240
<v Speaker 12>things that aren't working. So well, it's really interesting.

0:32:53.640 --> 0:32:54.960
<v Speaker 6>Let's go back to what you reported.

0:32:55.440 --> 0:32:58.840
<v Speaker 3>Elite memo from a pretty senior software engineer within Google

0:32:59.160 --> 0:33:02.080
<v Speaker 3>about them falling behind. Cara alluded to it, But what

0:33:02.160 --> 0:33:03.760
<v Speaker 3>have you reported what happened?

0:33:04.520 --> 0:33:08.480
<v Speaker 12>So this memo or a letter, you know, depending on

0:33:08.480 --> 0:33:09.640
<v Speaker 12>how you want to talk about it. It's not an

0:33:09.640 --> 0:33:12.080
<v Speaker 12>official company document, but it was something that this person

0:33:12.560 --> 0:33:16.360
<v Speaker 12>had written, and it had been seen internally by a

0:33:16.360 --> 0:33:20.080
<v Speaker 12>whole lot of different people at Google, and somebody then

0:33:20.200 --> 0:33:23.800
<v Speaker 12>published it on a public discord channel, and from there

0:33:23.880 --> 0:33:28.120
<v Speaker 12>it was then picked up by a lot of different

0:33:28.120 --> 0:33:33.360
<v Speaker 12>people and published more widely. So when you have something

0:33:33.680 --> 0:33:36.800
<v Speaker 12>like that happening, you have somebody internal saying, hey, like,

0:33:37.200 --> 0:33:39.600
<v Speaker 12>I mean, I think the wording was basically open sources

0:33:39.640 --> 0:33:40.400
<v Speaker 12>eating our lunch.

0:33:41.320 --> 0:33:42.960
<v Speaker 4>That's I feel like it's a pretty big deal.

0:33:43.040 --> 0:33:46.400
<v Speaker 12>You don't see that strong wording that often, at least

0:33:46.400 --> 0:33:50.240
<v Speaker 12>not sort of percolating out more widely and perhaps it

0:33:50.280 --> 0:33:52.000
<v Speaker 12>shows that a lot of people are feeling that way

0:33:52.280 --> 0:33:53.200
<v Speaker 12>at large companies.

0:33:53.840 --> 0:33:58.160
<v Speaker 2>Decentralization seems to be the booking point everywhere. Rachel Metz,

0:33:58.360 --> 0:34:01.360
<v Speaker 2>thank you so much bringing us what is fascinating scoop

0:34:01.440 --> 0:34:03.800
<v Speaker 2>and indeed what's happening over at the White House all

0:34:03.880 --> 0:34:06.360
<v Speaker 2>things AI. And look, let's talk about how people are

0:34:06.400 --> 0:34:09.960
<v Speaker 2>remaining pretty bullish about artificial intelligence. It's not just about

0:34:10.040 --> 0:34:12.800
<v Speaker 2>jobs or productivity. Just take a listen to Tiger twenty

0:34:12.840 --> 0:34:15.719
<v Speaker 2>one chairman and founder Michael Sonenfeld what they have to say.

0:34:16.680 --> 0:34:19.720
<v Speaker 13>Artificial intelligence is also going to have a huge impact

0:34:19.760 --> 0:34:22.279
<v Speaker 13>on climate, where we're going to need a lot of

0:34:22.360 --> 0:34:25.600
<v Speaker 13>new technologies to fight climate. So you can look at

0:34:25.600 --> 0:34:29.000
<v Speaker 13>some of the climate plays as well. But the largest

0:34:29.040 --> 0:34:32.600
<v Speaker 13>technology companies are investing heavily in AI, and that's where

0:34:32.640 --> 0:34:34.879
<v Speaker 13>the opportunity is if you're a believer in it.

0:34:35.400 --> 0:34:38.520
<v Speaker 3>Just how pervasive AI is in all the conversations they

0:34:38.520 --> 0:34:40.920
<v Speaker 3>were having. Now coming up a welcome signed with streaming

0:34:41.080 --> 0:34:44.560
<v Speaker 3>for Warner Brothers Discoveries. The company sees subscriber growth and

0:34:44.680 --> 0:34:47.240
<v Speaker 3>profits in its first quarter, but how did the company

0:34:47.280 --> 0:34:48.760
<v Speaker 3>fare on other key metrics?

0:34:48.800 --> 0:35:04.640
<v Speaker 6>More on that next. This has bloom low.

0:35:08.440 --> 0:35:10.160
<v Speaker 2>Let's do more earnings because there's a bit of a

0:35:10.200 --> 0:35:12.920
<v Speaker 2>mixed bag over there at Warner Brothers Discovery, which reported

0:35:12.920 --> 0:35:14.480
<v Speaker 2>first quarter results that on the one.

0:35:14.280 --> 0:35:16.080
<v Speaker 4>Hand saw the media giant.

0:35:16.320 --> 0:35:19.000
<v Speaker 2>Post a surprise profit for its streaming business, but on

0:35:19.120 --> 0:35:22.200
<v Speaker 2>the other, well, the legacy cable network's not doing quite

0:35:22.239 --> 0:35:25.880
<v Speaker 2>so well, losing advertising, losing viewers. Therefore, the overall revenue

0:35:25.880 --> 0:35:28.880
<v Speaker 2>missed estimates, and so did adjusted a bit dar This

0:35:28.960 --> 0:35:32.279
<v Speaker 2>in the week, of course, disappointing results from Paramount Fresh

0:35:32.360 --> 0:35:34.400
<v Speaker 2>Writer Strike on Hollywood. There's a lot to discuss with

0:35:34.440 --> 0:35:36.880
<v Speaker 2>the one and only Lucashow who joins us now to break.

0:35:36.719 --> 0:35:38.960
<v Speaker 4>It all down. Let's just start on Warner Brothers for

0:35:39.000 --> 0:35:40.239
<v Speaker 4>a moment, because it.

0:35:40.160 --> 0:35:43.399
<v Speaker 2>Seems they wanted to lean into Max, which is now

0:35:43.400 --> 0:35:45.560
<v Speaker 2>branded and the fact that streaming is actually managing to

0:35:45.560 --> 0:35:46.320
<v Speaker 2>prove profitable.

0:35:47.239 --> 0:35:49.920
<v Speaker 14>Yeah, I mean, the big criticism of all these streaming

0:35:50.040 --> 0:35:52.600
<v Speaker 14>enterprises has been that they lose money. Other than Netflix

0:35:53.440 --> 0:35:56.040
<v Speaker 14>and David's Aslam, the CEO of Warner Brothers Discovery is

0:35:56.040 --> 0:35:58.600
<v Speaker 14>Billy doing everything he can to turn Max into a

0:35:58.640 --> 0:36:02.000
<v Speaker 14>profitable service. They're cutting costs in a lot of ways.

0:36:02.040 --> 0:36:04.840
<v Speaker 14>They've laid off people and that seems like positive news.

0:36:05.040 --> 0:36:07.920
<v Speaker 14>The problem or the cloud looming over all these companies

0:36:08.040 --> 0:36:11.600
<v Speaker 14>is that their linear cable networks are declining really quickly,

0:36:12.400 --> 0:36:15.200
<v Speaker 14>and so investors are still a little bit uncertain whether

0:36:15.520 --> 0:36:17.919
<v Speaker 14>the growth of the profits on streaming are ever really

0:36:17.960 --> 0:36:20.680
<v Speaker 14>going to replace what was an incredibly lucrative business model.

0:36:21.520 --> 0:36:23.840
<v Speaker 3>It's interesting because in a twenty four hours span, lucas,

0:36:23.880 --> 0:36:27.200
<v Speaker 3>you had Paramount post that loss and then Warner Brothers

0:36:27.239 --> 0:36:30.239
<v Speaker 3>posts the profit. What can we discern about the competitive

0:36:30.320 --> 0:36:33.440
<v Speaker 3>nature of the two when it comes to streaming.

0:36:33.680 --> 0:36:36.480
<v Speaker 14>Well, it may depend on where they are in their

0:36:36.640 --> 0:36:37.640
<v Speaker 14>investment cycle.

0:36:37.840 --> 0:36:38.000
<v Speaker 1>You know.

0:36:38.080 --> 0:36:40.000
<v Speaker 14>Paramount, I think said that this year was going to

0:36:40.000 --> 0:36:42.719
<v Speaker 14>be its year of peak investment. You know, it wasn't

0:36:42.760 --> 0:36:44.680
<v Speaker 14>long ago, I think maybe a year and a half

0:36:44.840 --> 0:36:47.120
<v Speaker 14>where Paramount was still sort of bragging about how much

0:36:47.120 --> 0:36:48.879
<v Speaker 14>it was spending because it thought that that's what Wall

0:36:48.960 --> 0:36:51.640
<v Speaker 14>Street wanted to hear. It had this investor day in

0:36:51.719 --> 0:36:54.200
<v Speaker 14>early twenty twenty two hours earnings I forget which one

0:36:54.239 --> 0:36:57.359
<v Speaker 14>may be both, and it just really changed.

0:36:57.000 --> 0:36:57.560
<v Speaker 1>On a dime.

0:36:58.280 --> 0:37:01.239
<v Speaker 14>You know, around that time a year ago, I think

0:37:01.280 --> 0:37:04.200
<v Speaker 14>Warner Brothers Discovery has sort of moved into cost cutting

0:37:04.200 --> 0:37:07.839
<v Speaker 14>mode more swiftly partially forced by the merger, and those

0:37:07.920 --> 0:37:10.360
<v Speaker 14>almost always resulting in cost cutting.

0:37:11.280 --> 0:37:13.520
<v Speaker 3>You know, Caroline, the story of the week that Lucas's

0:37:13.560 --> 0:37:15.520
<v Speaker 3>team and screen Time had been at the forefront of

0:37:16.120 --> 0:37:19.600
<v Speaker 3>is the WGA and Hollywood strike. Right, That's what we've

0:37:19.600 --> 0:37:20.960
<v Speaker 3>been talking about.

0:37:20.600 --> 0:37:23.719
<v Speaker 2>And really the intersection here of a new type of

0:37:23.840 --> 0:37:25.759
<v Speaker 2>environment they have to work in Lucas, the fact that

0:37:25.800 --> 0:37:27.360
<v Speaker 2>there is a focus on streaming, what that means in

0:37:27.440 --> 0:37:30.160
<v Speaker 2>terms of recompense for them, and also I mean artificial

0:37:30.200 --> 0:37:32.160
<v Speaker 2>intelligence as being some competitive threat too.

0:37:33.280 --> 0:37:35.920
<v Speaker 14>Yeah, I mean it's interesting, given the conversation we are

0:37:36.000 --> 0:37:39.520
<v Speaker 14>just having around profitability and what happens to these companies,

0:37:39.560 --> 0:37:43.560
<v Speaker 14>to strike could benefit a lot of these companies bottom line.

0:37:43.560 --> 0:37:46.239
<v Speaker 14>It's one of the reasons why some of the writers

0:37:46.560 --> 0:37:48.680
<v Speaker 14>and a lot of industry experts are sort of concerned

0:37:48.719 --> 0:37:50.360
<v Speaker 14>that this strike is going to go on for a

0:37:50.400 --> 0:37:53.200
<v Speaker 14>long time, because these companies looking to cut costs will

0:37:53.239 --> 0:37:55.799
<v Speaker 14>benefit from not spending a bunch of money on new

0:37:55.800 --> 0:37:58.080
<v Speaker 14>projects or you know, we reported this week that some

0:37:58.120 --> 0:38:00.680
<v Speaker 14>of the studios are already ceasing to pay some of

0:38:00.719 --> 0:38:03.560
<v Speaker 14>these writers that they have producer deals with. You know,

0:38:03.840 --> 0:38:06.640
<v Speaker 14>it feels like the sides are pretty far apart on pay,

0:38:07.360 --> 0:38:10.560
<v Speaker 14>and they're not even really close on a subject like

0:38:10.600 --> 0:38:13.600
<v Speaker 14>AI where the writers want certain projections in the studios steal.

0:38:13.640 --> 0:38:15.640
<v Speaker 1>It's too early to sort of put anything.

0:38:15.400 --> 0:38:19.280
<v Speaker 3>To paper, Lucas, the last strike was two thousand and seven,

0:38:19.440 --> 0:38:22.319
<v Speaker 3>I believe, right, How long does this one go on?

0:38:22.920 --> 0:38:24.239
<v Speaker 3>How are talks progressing?

0:38:25.160 --> 0:38:27.840
<v Speaker 14>Yeah, I mean the last one lasted about one hundred days.

0:38:27.920 --> 0:38:30.080
<v Speaker 14>I think the one in the late eighties was longer

0:38:30.120 --> 0:38:33.840
<v Speaker 14>than that. It set the record. Look, I'm not supposed

0:38:33.840 --> 0:38:36.279
<v Speaker 14>to make predictions, but nobody I talked to things that

0:38:36.360 --> 0:38:38.279
<v Speaker 14>this one is going to be over anytime soon. It

0:38:38.320 --> 0:38:41.320
<v Speaker 14>feels as if the studios have already shifted to focusing

0:38:41.320 --> 0:38:43.719
<v Speaker 14>on the Director's Guild and the Actors Guild, both of

0:38:43.760 --> 0:38:46.240
<v Speaker 14>which have contracts coming up in the next couple of months.

0:38:47.160 --> 0:38:49.479
<v Speaker 14>You know, it feels like it's going to stretch into

0:38:49.480 --> 0:38:53.160
<v Speaker 14>the fall, but of course things could change over the summer.

0:38:53.040 --> 0:38:55.640
<v Speaker 2>And Lucas, of course you report on this from Hollywood

0:38:55.680 --> 0:38:58.279
<v Speaker 2>from la but our producer was saying how she saw

0:38:58.560 --> 0:39:00.440
<v Speaker 2>people at the Piggot lines in New York because she

0:39:00.640 --> 0:39:02.680
<v Speaker 2>came in to work today. I mean, this is how

0:39:03.840 --> 0:39:05.440
<v Speaker 2>national in nature does this become.

0:39:06.320 --> 0:39:10.640
<v Speaker 14>Well, there are major production hubs in certainly in New York.

0:39:10.719 --> 0:39:12.759
<v Speaker 14>You know, a lot of the late night shows which

0:39:12.800 --> 0:39:15.120
<v Speaker 14>have already gone off the air are made in New York.

0:39:15.440 --> 0:39:18.160
<v Speaker 14>And then you have people who work in Atlanta, or

0:39:18.160 --> 0:39:20.080
<v Speaker 14>in New Orleans, or in Chicago. I don't know that

0:39:20.120 --> 0:39:22.200
<v Speaker 14>you're going to have protests in all of those places,

0:39:22.280 --> 0:39:25.600
<v Speaker 14>especially because the writers are more concentrated in LA and

0:39:25.600 --> 0:39:28.240
<v Speaker 14>New York. But this has become a pretty global industry,

0:39:28.280 --> 0:39:31.760
<v Speaker 14>and so even if even if the Writers Guild only

0:39:31.960 --> 0:39:34.839
<v Speaker 14>affects writers in the United States, you're going to see

0:39:34.880 --> 0:39:36.640
<v Speaker 14>people everywhere else. Government, you know. I think there were

0:39:36.640 --> 0:39:39.520
<v Speaker 14>some stories this week about, you know, writers in the

0:39:39.640 --> 0:39:42.279
<v Speaker 14>UK being urged not to cross the picket line and

0:39:42.320 --> 0:39:43.839
<v Speaker 14>do work with guild signatories.

0:39:44.719 --> 0:39:46.520
<v Speaker 2>There's a fair few strike actions going on in the

0:39:46.600 --> 0:39:50.000
<v Speaker 2>UK more broadly, so one to watch out for Lucas Shaw.

0:39:50.280 --> 0:39:51.360
<v Speaker 4>Great to have some time with you.

0:39:57.760 --> 0:39:59.680
<v Speaker 2>It's time now for going viral, and much of the

0:39:59.760 --> 0:40:02.400
<v Speaker 2>United Kingdom and the world in fact, is buzzing for

0:40:02.480 --> 0:40:06.080
<v Speaker 2>Saturday's Coronation ceremony. Now, the religious event celebrates the start

0:40:06.160 --> 0:40:09.080
<v Speaker 2>of King Charles the third reign over the British State

0:40:09.280 --> 0:40:09.760
<v Speaker 2>naw Megus.

0:40:09.760 --> 0:40:11.000
<v Speaker 4>Lizzie Burden hasmon.

0:40:12.239 --> 0:40:15.600
<v Speaker 15>First coronation in seventy years, will formally ring in King

0:40:15.680 --> 0:40:18.960
<v Speaker 15>Charles the Third at Westminster Abbey, home to the ceremonies

0:40:19.120 --> 0:40:22.600
<v Speaker 15>since ten sixty six. As seventy four, he's the oldest

0:40:22.600 --> 0:40:26.000
<v Speaker 15>monarch ever to be crowned. Twy two hundred guests will

0:40:26.000 --> 0:40:28.000
<v Speaker 15>attend roughly a quarter of the number who are at

0:40:28.040 --> 0:40:32.520
<v Speaker 15>Queen Elizabeth I's nineteen fifty three coronation, and it's expected

0:40:32.520 --> 0:40:35.720
<v Speaker 15>to take half the time. Amid a cost of living crisis,

0:40:35.760 --> 0:40:38.320
<v Speaker 15>the King has asked for the service to beat good value,

0:40:38.680 --> 0:40:41.520
<v Speaker 15>but with a reported one hundred million pound price tag,

0:40:41.719 --> 0:40:44.560
<v Speaker 15>it's double the cost of his mother's in today's terms.

0:40:44.960 --> 0:40:47.799
<v Speaker 15>Charles will wear Saint Edward's crown, decorated with more than

0:40:47.880 --> 0:40:52.240
<v Speaker 15>four hundred gemstones Camilla. Meanwhile, the Queen consort will carry

0:40:52.239 --> 0:40:55.520
<v Speaker 15>two two hundred diamonds in hers, worth up to an

0:40:55.600 --> 0:40:59.640
<v Speaker 15>estimated five billion pounds. But what's the economic impact of

0:40:59.680 --> 0:41:03.680
<v Speaker 15>the and pageantry. Bloomberg Economics reckons that on balance, the

0:41:03.719 --> 0:41:06.800
<v Speaker 15>extra bank holiday is going to cost the economy about

0:41:06.800 --> 0:41:11.480
<v Speaker 15>two billion pounds, but estimates have suggested that tourism, hospitality

0:41:11.520 --> 0:41:14.600
<v Speaker 15>and souvenirs will bring in more than one billion pounds,

0:41:14.840 --> 0:41:18.400
<v Speaker 15>somewhat meager compared to the Queen's Jubilee last year for

0:41:18.480 --> 0:41:21.320
<v Speaker 15>Britain's pubs and restaurants. That includes a three hundred and

0:41:21.360 --> 0:41:24.799
<v Speaker 15>fifty million pound boost to sales, so the hangovers may

0:41:24.800 --> 0:41:27.040
<v Speaker 15>be as memorable as the coronation itself.

0:41:30.120 --> 0:41:32.319
<v Speaker 2>We thank our Lizzie Burden for that reporting and an

0:41:32.480 --> 0:41:35.239
<v Speaker 2>ed I was looking at Instagram just have followed the

0:41:35.320 --> 0:41:37.480
<v Speaker 2>Royals are now the Royal family has twelve point nine

0:41:37.680 --> 0:41:41.440
<v Speaker 2>million Instagram followers. It's generally Charles Kamene, Prince and Princess

0:41:41.440 --> 0:41:44.040
<v Speaker 2>of Wales. They've got fourteen point six millions, so they

0:41:44.040 --> 0:41:46.120
<v Speaker 2>pit them to the post. But compere, that's like Kim.

0:41:46.000 --> 0:41:48.520
<v Speaker 4>Kardashian's got three hundred and forty five million hits on

0:41:48.600 --> 0:41:49.880
<v Speaker 4>Pales and Insignificance.

0:41:50.520 --> 0:41:52.480
<v Speaker 3>Yeah, like you and I two Brits living in the

0:41:52.560 --> 0:41:56.360
<v Speaker 3>United States, and we've seen firsthand the following that the

0:41:56.400 --> 0:41:58.840
<v Speaker 3>Royal family has a lot of that driven by Netflix

0:41:58.880 --> 0:42:02.880
<v Speaker 3>and The Crown, a fictional series that the Royal family

0:42:02.920 --> 0:42:06.200
<v Speaker 3>would say, it's not a engagement really right, But you

0:42:06.239 --> 0:42:08.600
<v Speaker 3>know again, we did this piece on Bloomberg the most

0:42:08.600 --> 0:42:11.640
<v Speaker 3>googled terms ahead of the coronations, kind of learn about it.

0:42:11.680 --> 0:42:14.160
<v Speaker 3>There's really high engagement ahead of this weekend.

0:42:14.400 --> 0:42:16.640
<v Speaker 2>Yeah, mainly the time is going to be painful for you.

0:42:16.719 --> 0:42:19.239
<v Speaker 2>It's at six thirty am New York time. I'm going

0:42:19.280 --> 0:42:20.960
<v Speaker 2>to be up anyway because I've got small kids, but

0:42:21.000 --> 0:42:22.920
<v Speaker 2>don't get up at three thirty in the morning.

0:42:22.920 --> 0:42:25.440
<v Speaker 3>Air DeKay TBD TVD.

0:42:25.560 --> 0:42:28.400
<v Speaker 6>It's a big moment in history. But I'll be tired.

0:42:28.600 --> 0:42:30.560
<v Speaker 2>I mean, you could always be raving out until that

0:42:30.719 --> 0:42:32.239
<v Speaker 2>time and then watch it.

0:42:32.480 --> 0:42:34.960
<v Speaker 4>But we'll see that does over this edition of Bloomberg Technology.

0:42:35.680 --> 0:42:40.319
<v Speaker 3>Yep, don't forget recap podcasts. Iheartspotify, Bloomberg, wherever you get

0:42:40.360 --> 0:42:41.080
<v Speaker 3>your podcasts.

0:42:41.120 --> 0:42:41.440
<v Speaker 6>What are we