WEBVTT - Bloomberg Businessweek Weekend - August 1st, 2025

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>This is Bloomberg Business Week Daily reporting from the magazine

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<v Speaker 2>that helps global leaders stay ahead with insight on the people, companies,

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<v Speaker 2>and trends shaping today's complex economy. Plus global business finance

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<v Speaker 2>and tech news as it happens. The Bloomberg Business Week

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<v Speaker 2>Daily Podcast with Carol Masser and Tim Steneveek on Bloomberg Radio.

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<v Speaker 1>Hi, everyone, Welcome to the Bloomberg Business Week Weekend Podcast.

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<v Speaker 1>A FED decision that left rates unchanged as expected, and

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<v Speaker 1>chair Jay Powell saying interest rates are in the right

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<v Speaker 1>place to manage continued uncertainty around tarifs and inflation, so

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<v Speaker 1>rate cut in September not likely, at least not right now.

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<v Speaker 1>Plus tons of earnings, including from four of the Magnificent Seven,

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<v Speaker 1>and of course more tariff talks, TIFFs and terms. This

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<v Speaker 1>past week. I gotta say, Tim, was what some Wall

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<v Speaker 1>Street pro said was a pivotal one for the second.

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<v Speaker 3>Half a busy summer weeks, certainly to wrap up the

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<v Speaker 3>month of July. This hour, we're going to hit on

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<v Speaker 3>earnings from Apple, Amazon, Microsoft, and Meta plus Alphabet. The

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<v Speaker 3>company reported earnings just about a week ago, and they

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<v Speaker 3>said that the cloud computing unit at Google is its

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<v Speaker 3>strongest source of growth. We're going to talk with the

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<v Speaker 3>COO of Google Cloud also.

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<v Speaker 1>This hour, and also on earnings. UK pharma company AstraZeneca

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<v Speaker 1>reported results. It's CEO stat by Bloomberg headquarters and talked

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<v Speaker 1>about doubling down on the US and sizing up Chinese competition.

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<v Speaker 1>And then, speaking of drugs, the CEO of Compass Pathways

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<v Speaker 1>joins us somehow psychedelics may be making their way to

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<v Speaker 1>FDA approval.

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<v Speaker 3>That's in our second hour, so too is a story

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<v Speaker 3>about burning Man's existential financial crisis. All that to come, though,

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<v Speaker 3>We kick off with earnings from a batch of the

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<v Speaker 3>so called mag seven Apple, Amazon, Meta, and Microsoft, all

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<v Speaker 3>reporting this past week. All of the details and more

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<v Speaker 3>are on the Bloomberg terminal. We caught up with Laura Martin,

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<v Speaker 3>senior analyst A and need him in Company who covers

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<v Speaker 3>many of them, and started our post earnings review talking

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<v Speaker 3>about Apple.

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<v Speaker 4>Apple admitted that one hundred one thousand basis points, so

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<v Speaker 4>one percent of their revenue growth, which was ten percent,

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<v Speaker 4>well above average, was from pull forward, and the market's

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<v Speaker 4>telling you they think that number was like five, you know, four.

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<v Speaker 5>Half of the game. Basically.

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<v Speaker 4>Apple also said they had eight hundred million dollars of

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<v Speaker 4>costs from tariffs in that second that requorter they just reported,

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<v Speaker 4>and it's going to go up to one point one

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<v Speaker 4>billion visibly in the September quarter. But I think the

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<v Speaker 4>market's telling you they think that could be higher in

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<v Speaker 4>the September quarter.

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<v Speaker 3>Oh so, does does this mean that we'll see fewer

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<v Speaker 3>iPhones bought in the first fiscal quarter Apple? But Apple's

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<v Speaker 3>December quarter, which typically is its biggest quarter, as a

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<v Speaker 3>result of the pull forward that we saw in this quarter, I.

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<v Speaker 5>Think it's worse, it's faster.

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<v Speaker 4>So the June quarter over delivered because they pulled forward

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<v Speaker 4>demand from the September quarter. Those are all old iPhones,

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<v Speaker 4>and then in late September you typically get the new

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<v Speaker 4>iPhone and then you start this new annual cycle of

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<v Speaker 4>the new iPhone. And one of the things they said

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<v Speaker 4>is that Siri and Apple Intelligence will only be integrated

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<v Speaker 4>next year, by which they're probably talking calendar year, which

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<v Speaker 4>means the earliest we'll see you know, generative AI features,

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<v Speaker 4>drive and upgrade cycle for the iPhone would be not

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<v Speaker 4>September of twenty five, it'd be September of twenty six.

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<v Speaker 4>So then that tells you, so this is dead money again, right,

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<v Speaker 4>there's nothing driving and there's risk here, not only China subsidies.

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<v Speaker 4>Wrote drove a really nice China growth number, four point

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<v Speaker 4>eight percent China revenue growth. People are worried that that

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<v Speaker 4>is also like that subsidy isn't going to recur. And

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<v Speaker 4>we've had a couple negative litigation regulatory decisions. Right, We've

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<v Speaker 4>got the feed to twenty billion dollars a year is

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<v Speaker 4>what Google Search pays Apple to be the default search

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<v Speaker 4>engine on all iOS devices. I think that's pretty clear

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<v Speaker 4>from Channel and DC that is not going to be

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<v Speaker 4>allowed to persist. So that's twenty billion that will come

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<v Speaker 4>out of services if it isn't allowed. And then similarly,

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<v Speaker 4>we have the epic they got into Apple got a

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<v Speaker 4>negative epic Games which allows that which allows consumers to

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<v Speaker 4>pay directly to apps and not have Apple share thirty percent.

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<v Speaker 4>So that's another that's an app store risk that over

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<v Speaker 4>the next twelve months, not immediate, but over the next

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<v Speaker 4>twelve months.

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<v Speaker 1>You know, Laura, We've had the luxury of talking with

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<v Speaker 1>you in the last week or two and talking specifically

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<v Speaker 1>about Apple you've got a hold rating on it. It

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<v Speaker 1>doesn't sound like you have a lot of concerns. I

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<v Speaker 1>guess I should say why not put a cell rating

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<v Speaker 1>on it.

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<v Speaker 4>One of the issues is when you look at the

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<v Speaker 4>other mag seven, they basically have a singular strategy, which

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<v Speaker 4>is envision generative air as disruptive. We everyone else is

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<v Speaker 4>going to spend eighty five to one hundred billion dollars

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<v Speaker 4>in CAPEX in twenty twenty five alone, and we're going

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<v Speaker 4>to grow at twenty percent in twenty six with no

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<v Speaker 4>Every one of them has been pushed on what is

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<v Speaker 4>that return on capital incremental capital?

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<v Speaker 5>They all say, we don't know. We just think it's

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<v Speaker 5>going to be big.

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<v Speaker 4>If you don't believe that, if you're an investor and

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<v Speaker 4>you think that jenerative AI is overhyped or the economics

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<v Speaker 4>are further off into the future, Apple is a great

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<v Speaker 4>place to hide. They are spending twenty billion dollars a year,

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<v Speaker 4>not eighty five billion dollars a year. Jeneritive AI is

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<v Speaker 4>sometime in the future. They're not spending they're not hiring

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<v Speaker 4>people like Meta Is for one hundred million dollars each

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<v Speaker 4>to work on superintelligence. This is Apple is a great

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<v Speaker 4>place to hide. If you are an investor that doesn't

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<v Speaker 4>believe in generative changing the world.

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<v Speaker 6>Well, wait a minute.

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<v Speaker 1>You know Apple often isn't you know, first mover or

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<v Speaker 1>on some big changes.

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<v Speaker 6>Right, We talked about it.

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<v Speaker 3>Create the tablet, they didn't create the music player, they

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<v Speaker 3>didn't create the smartphone. But they created the best of

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<v Speaker 3>all those things exactly.

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<v Speaker 1>So if they're saying, hey, guys, go ahead and spend

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<v Speaker 1>you know, your billions or trillions or whatever the heck

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<v Speaker 1>it is, figure out this AI thing and then we'll

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<v Speaker 1>come in.

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<v Speaker 6>And we'll collaborate or partner with somebody, maybe that's not

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<v Speaker 6>such a bad strategy.

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<v Speaker 5>So it's risky business.

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<v Speaker 4>So on the call last night, Tim Cook got this question,

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<v Speaker 4>and what he said is, I don't see a world

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<v Speaker 4>where the consumer doesn't have an iPhone, which is basically

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<v Speaker 4>a computer in his pocket.

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<v Speaker 5>Okay, that's a vision of the.

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<v Speaker 4>Future that Johnny Ive, who's gone to open AI is

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<v Speaker 4>trying to displace. Johnny Ive, who developed every Apple product

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<v Speaker 4>you have in your pocket while he was at Apple

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<v Speaker 4>for twenty years, is now saying he regrets creating the

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<v Speaker 4>screen because he thinks it makes people not pay attention

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<v Speaker 4>to one another. So he's trying to move the next

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<v Speaker 4>device with generative AI backing to not.

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<v Speaker 5>Be a screen.

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<v Speaker 4>So that may not work, but if it does Apple,

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<v Speaker 4>that's a problem for app. That is an existential risk

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<v Speaker 4>problem for Apple. So long as an iPhone and a

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<v Speaker 4>screen are going to be sort of the user device

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<v Speaker 4>of record and they're going to persist in ten years,

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<v Speaker 4>you might be right, that might be possible. What you

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<v Speaker 4>just said, Apple can copy the best of Android, which

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<v Speaker 4>will have Gemini because Google has Gemini.

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<v Speaker 5>In every product now, that will work.

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<v Speaker 4>But if Jimmy I've and OpenAI or right, and screens

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<v Speaker 4>are going away, that's problematic for a smartphone maker.

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<v Speaker 3>I guess that's maybe where whatever they're working on for

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<v Speaker 3>a face computer could come in. Laura, I want to

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<v Speaker 3>go back to what you said about Gemini and Android

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<v Speaker 3>because of the way that Gemini is baked into Google devices. Now,

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<v Speaker 3>you say in your most recent note that Apple is

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<v Speaker 3>a single product company, its valuation risk is material if

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<v Speaker 3>iOS falls too far behind Android. Would you say that

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<v Speaker 3>iOS is already behind Android right now?

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<v Speaker 7>Oh?

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<v Speaker 5>I would absolutely, I would.

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<v Speaker 4>I mean when you look at Google's its revenue is

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<v Speaker 4>accelerating over at Alphabet, and its costs are going down,

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<v Speaker 4>so its productivity per employee is going up. Why Because

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<v Speaker 4>eighty percent of engineers are using Gemini to do their

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<v Speaker 4>first draft of code for new products. They're introducing new

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<v Speaker 4>products faster. They over delivered on advertising because they're integrating

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<v Speaker 4>all these bettern both Meta and Google. Because they're using

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<v Speaker 4>generative AI to increase the conversion rate. So, yes, Gemini

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<v Speaker 4>is being integrated into everything at Alphabet Android.

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<v Speaker 5>Includion does it?

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<v Speaker 3>Like two comments here? One is the network effects that

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<v Speaker 3>Apple has, at least here in the US are really strong, right,

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<v Speaker 3>the blue bubbles for when you're on I Message and

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<v Speaker 3>the other Apple products that you have that ideally are

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<v Speaker 3>supposed to work seamlessly with that. Plus, doesn't Gemini have

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<v Speaker 3>an app that you can just use on your iPhone?

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<v Speaker 3>So if you want to use Gemini as sort of

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<v Speaker 3>a copilot here, if you are an engineer, you can

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<v Speaker 3>just do it on your iPhone, but through an app

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<v Speaker 3>that you get at the app store, right.

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<v Speaker 5>If it's standalone.

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<v Speaker 4>But I mean, I think my guess is where Alphabet's

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<v Speaker 4>going is they're going to integrate your They're going to

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<v Speaker 4>integrate Gemini into everything on your device. It's going to

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<v Speaker 4>know where your appointments are, it's going to know who

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<v Speaker 4>your friends are. It's going to be a personal assistant

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<v Speaker 4>integrated into your Android phone. It's going to be a

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<v Speaker 4>bigger idea than just a separate app where you go

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<v Speaker 4>to it. It's going to be like, even if you

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<v Speaker 4>listen to the meta vision of the world, super intelligence

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<v Speaker 4>is about having a robot friend that does everything for

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<v Speaker 4>you better than a human can make you. I mean,

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<v Speaker 4>it's just I think these are bigger ideas than an

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<v Speaker 4>app store.

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<v Speaker 5>By the way, some.

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<v Speaker 4>CEO's visions of their apps are disappearing. So then you say,

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<v Speaker 4>so what replaces them?

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<v Speaker 5>Well, I don't know. Used to be websites, then we

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<v Speaker 5>went to apps. What's next? It may not be apps?

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<v Speaker 6>All right? You mentioned I want to just get to

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<v Speaker 6>meta Amazon. What about Meta?

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<v Speaker 1>You know? In terms of I mean that Stock was

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<v Speaker 1>just off and running following it's quarterly update. Those ad

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<v Speaker 1>sales number certainly catching everybody's attention, a mega megaspen when

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<v Speaker 1>it comes to AI. What is your hot take on

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<v Speaker 1>that one?

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<v Speaker 4>So Stock up strongly, really strong fundamentals, just sixty percent margins,

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<v Speaker 4>twenty two percent revenue growth and a huge company, which

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<v Speaker 4>was the fastest of the group that we the big

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<v Speaker 4>tech companies we call really strong fundamentals. We are cautious

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<v Speaker 4>on Meta, and that is because they took their capex

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<v Speaker 4>to seventy billion this year and one hundred billion next year,

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<v Speaker 4>again no return in sight, and their stock comp per

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<v Speaker 4>person is going through the roof as they hire super

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<v Speaker 4>intelligence employees, with press reports saying they're paying one hundred

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<v Speaker 4>to three hundred million over three years for each of

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<v Speaker 4>these people.

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<v Speaker 3>Pretty get it, I'll say, yeah.

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<v Speaker 4>My guess is they're trying to change the world right,

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<v Speaker 4>and they believe in super intelligence, which this isn't a

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<v Speaker 4>vision of making you and I'm more productive. This is

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<v Speaker 4>about replacing human beings with machines that teach machines. So

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<v Speaker 4>it's literally terminator like life imitating art type of stuff.

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<v Speaker 3>Doesn't sound like you're your pro AI in that in

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<v Speaker 3>that context, let's stick let's.

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<v Speaker 5>Stick to Meta as a stock.

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<v Speaker 4>My concern is that we're goin we're losing five billion

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<v Speaker 4>dollars a quarter on reality labs, and we're still funding

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<v Speaker 4>the Metal and we're funding Quest goggles, and we're funding

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<v Speaker 4>karlass Way banned glasses and now we're funding a jen

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<v Speaker 4>Ai competition with companies twice their size. All of that

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<v Speaker 4>feels like a lot of capital spending to me and

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<v Speaker 4>actually costs to me without a clear sense.

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<v Speaker 3>But investors are saying they are okay with it up

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<v Speaker 3>to now because they believe that Mark Zuckerberg has this

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<v Speaker 3>vision for super intelligence, which, to be honest, nobody has

0:11:26.480 --> 0:11:29.640
<v Speaker 3>actually articulated to me, Well, what does that world look

0:11:29.760 --> 0:11:32.280
<v Speaker 3>like that that Meta wants to create and thinks will

0:11:32.320 --> 0:11:33.040
<v Speaker 3>be so profitable?

0:11:33.040 --> 0:11:33.640
<v Speaker 6>Are they okay?

0:11:33.679 --> 0:11:36.600
<v Speaker 1>Just because the ad sales number came in really strong,

0:11:36.640 --> 0:11:38.640
<v Speaker 1>Like if it didn't, might everybody be like maybe not?

0:11:38.720 --> 0:11:39.080
<v Speaker 6>Okay?

0:11:40.000 --> 0:11:44.680
<v Speaker 4>Yes, absolutely, he is buying the right to spend money

0:11:44.920 --> 0:11:47.800
<v Speaker 4>like a drunken sailor because his fundamentals and his core

0:11:47.920 --> 0:11:53.920
<v Speaker 4>business are strongly over delivering consensussessments. The day that stops,

0:11:54.280 --> 0:11:56.920
<v Speaker 4>the music stops, and suddenly people are going to take

0:11:56.920 --> 0:12:00.880
<v Speaker 4>a hard look at these You know, he's making five

0:12:00.960 --> 0:12:04.120
<v Speaker 4>year commitments for these super intelligence employees, and he's making

0:12:04.120 --> 0:12:07.120
<v Speaker 4>ten year commitments with the money he's spending on data centers.

0:12:07.480 --> 0:12:08.760
<v Speaker 5>So all of this money he.

0:12:08.760 --> 0:12:12.480
<v Speaker 4>Has a free pass so long as his core business

0:12:12.559 --> 0:12:13.720
<v Speaker 4>is growing twenty two.

0:12:13.520 --> 0:12:17.840
<v Speaker 3>Percent okay, okay, totally makes sense sort of the free

0:12:17.840 --> 0:12:20.880
<v Speaker 3>pass like Elon was, you know, allowed to be CEO

0:12:20.920 --> 0:12:23.079
<v Speaker 3>of many different companies and investors were fine with it

0:12:23.160 --> 0:12:25.800
<v Speaker 3>until they weren't. Jack Dorsey the same thing, right, It

0:12:25.840 --> 0:12:30.600
<v Speaker 3>works until it doesn't. Yeah, what about though, the promise

0:12:30.760 --> 0:12:34.559
<v Speaker 3>of this being profitable in the future, all this investment

0:12:34.960 --> 0:12:38.440
<v Speaker 3>ultimately paying off beyond making ads more efficient? What is

0:12:38.480 --> 0:12:40.680
<v Speaker 3>that vision? What does that world look like in your view?

0:12:40.840 --> 0:12:42.760
<v Speaker 3>At least articulated by Mark Zuckerberg.

0:12:44.720 --> 0:12:48.240
<v Speaker 4>So again, so Mark Mark is just he has got

0:12:48.280 --> 0:12:50.600
<v Speaker 4>a big idea. He wants to replace Apple, that's for sure.

0:12:50.880 --> 0:12:54.040
<v Speaker 4>So does open Ai. So Apple takes a thirty percent

0:12:54.120 --> 0:12:58.720
<v Speaker 4>tithe on every dollar earned on its platform, and that

0:12:58.840 --> 0:13:01.440
<v Speaker 4>hurts Mark Zuckerberg not only because Apple gets paid for

0:13:01.520 --> 0:13:04.800
<v Speaker 4>a lot of work he is doing on Facebook and Instagram,

0:13:05.040 --> 0:13:08.400
<v Speaker 4>but also it allows them to change policies and procedures

0:13:08.440 --> 0:13:10.559
<v Speaker 4>like around security and safety and privacy.

0:13:11.040 --> 0:13:12.720
<v Speaker 5>That costs Mark Zuckerberg ten.

0:13:12.640 --> 0:13:15.480
<v Speaker 4>Billion in revenue three years ago, and since then, Mark

0:13:15.559 --> 0:13:19.280
<v Speaker 4>Zuckerberg is all about replacing Apple or that piece of

0:13:19.280 --> 0:13:25.360
<v Speaker 4>hardware with ybound glasses or Quest goggles or something or

0:13:25.400 --> 0:13:26.160
<v Speaker 4>the metaverse.

0:13:26.480 --> 0:13:28.160
<v Speaker 5>He's trying to displace Apple.

0:13:27.920 --> 0:13:30.600
<v Speaker 4>And he wants to be the backbone that everybody has

0:13:30.640 --> 0:13:33.920
<v Speaker 4>to pay thirty percent to. So that's his main economic mission.

0:13:34.160 --> 0:13:37.280
<v Speaker 4>And now Jenerative AI comes along, which I think, you know,

0:13:37.440 --> 0:13:40.760
<v Speaker 4>I think many CEOs thinks it changes everything. Even Apple

0:13:40.800 --> 0:13:43.679
<v Speaker 4>said it's the biggest technological disruption of our lifetime.

0:13:44.160 --> 0:13:45.880
<v Speaker 5>And they benefited from mobile.

0:13:45.640 --> 0:13:47.280
<v Speaker 4>Which you would have thought that would they would have

0:13:47.280 --> 0:13:49.160
<v Speaker 4>thought was bigger than Jenai, but apparently not.

0:13:49.559 --> 0:13:49.679
<v Speaker 8>So.

0:13:50.440 --> 0:13:53.400
<v Speaker 4>I guess the question is Meta is saying we think

0:13:53.400 --> 0:13:56.280
<v Speaker 4>they're super intelligence. We think every human being is going

0:13:56.320 --> 0:13:59.440
<v Speaker 4>to have a robot that they hold on to, maybe

0:13:59.440 --> 0:14:01.120
<v Speaker 4>without a screw. We don't know, you know, we don't

0:14:01.120 --> 0:14:05.040
<v Speaker 4>know what the form factor is. But that does things

0:14:05.080 --> 0:14:07.320
<v Speaker 4>for you where you see the world differently and it

0:14:07.320 --> 0:14:09.400
<v Speaker 4>helps you get through the world. But I don't think

0:14:09.440 --> 0:14:11.080
<v Speaker 4>we know what that is yet, and he doesn't either.

0:14:11.120 --> 0:14:14.200
<v Speaker 4>That's why he's hiring fifty smart people to have robots,

0:14:14.280 --> 0:14:17.520
<v Speaker 4>train robots faster to do stuff humans can't do.

0:14:17.880 --> 0:14:19.560
<v Speaker 1>Well, nobody can do what you can do. We want

0:14:19.560 --> 0:14:23.680
<v Speaker 1>to ask you about Amazon. Sure this dock down still

0:14:23.720 --> 0:14:25.920
<v Speaker 1>more than eight percent here in the aftermarket, and I

0:14:25.960 --> 0:14:30.040
<v Speaker 1>think there is concerns about kind of the cloud spend comparison,

0:14:30.320 --> 0:14:33.240
<v Speaker 1>you know, among the big hyperscalers, Amazon still the biggest

0:14:33.280 --> 0:14:36.480
<v Speaker 1>when it comes to, you know, we think about what's

0:14:36.520 --> 0:14:38.000
<v Speaker 1>going on in terms of the cloud.

0:14:38.840 --> 0:14:40.920
<v Speaker 6>What you take here are.

0:14:40.880 --> 0:14:42.920
<v Speaker 1>What we kind of need to be thinking about with Amazon,

0:14:42.960 --> 0:14:44.880
<v Speaker 1>because investors seem pretty disappointed, are you?

0:14:47.080 --> 0:14:48.800
<v Speaker 4>So I think here's what I think is going on

0:14:48.840 --> 0:14:51.400
<v Speaker 4>with Amazon. Answer the first half of that question. So,

0:14:51.840 --> 0:14:56.640
<v Speaker 4>they had very strong revenue growth up thirteen percent, which

0:14:56.720 --> 0:15:00.240
<v Speaker 4>was like, you know, we were four percentage points low

0:15:00.320 --> 0:15:04.400
<v Speaker 4>that and very strong EPs and margins. But the problem

0:15:04.480 --> 0:15:07.440
<v Speaker 4>is they gave very tepid guidance. So people are really

0:15:07.480 --> 0:15:11.240
<v Speaker 4>worried about tariff's impacts here, so they're worried about the

0:15:11.280 --> 0:15:15.120
<v Speaker 4>next shoe to drop. They're advertising grew very robustly at

0:15:15.280 --> 0:15:17.800
<v Speaker 4>thirty twenty three percent, which is great, And I think

0:15:17.840 --> 0:15:21.200
<v Speaker 4>that would have been higher had not Tamu and Chean

0:15:21.720 --> 0:15:25.000
<v Speaker 4>stopped advertising, you know, sort of on April tenth because

0:15:25.040 --> 0:15:27.560
<v Speaker 4>they lost the Dominimus except rule exception.

0:15:28.000 --> 0:15:29.320
<v Speaker 5>So I think that would have been higher.

0:15:29.320 --> 0:15:32.360
<v Speaker 4>But that's a fabulous number nobody's focusing on today, and

0:15:32.400 --> 0:15:35.560
<v Speaker 4>I think people investors we've talked to are frustrated with

0:15:35.720 --> 0:15:39.160
<v Speaker 4>capital spending on Kuiper which has no revenue, capital spending

0:15:39.360 --> 0:15:42.440
<v Speaker 4>after for ten years so far on Alexa no revenue,

0:15:42.800 --> 0:15:47.040
<v Speaker 4>and like they're going to urban delivery same day, And

0:15:47.080 --> 0:15:50.000
<v Speaker 4>I think people don't understand their core business of e commerce.

0:15:50.200 --> 0:15:52.160
<v Speaker 5>I think people don't understand that as to use a capital.

0:15:52.240 --> 0:15:55.240
<v Speaker 4>At the same time, they just raised their capex guidance.

0:15:55.560 --> 0:15:58.320
<v Speaker 4>When you do the numbers to round numbers, one hundred

0:15:58.360 --> 0:16:01.040
<v Speaker 4>and fifteen, one hundred and twenty billion this year. The

0:16:01.080 --> 0:16:03.960
<v Speaker 4>next closest is Microsoft and Google at eighty five billion,

0:16:04.240 --> 0:16:06.680
<v Speaker 4>so they're quite a bit above everybody else on this

0:16:06.800 --> 0:16:09.840
<v Speaker 4>jenerative a I think, and then AWS has a nemic

0:16:09.880 --> 0:16:13.600
<v Speaker 4>revenue growth, you know, neg I mean thirty two percent

0:16:13.680 --> 0:16:16.520
<v Speaker 4>margins in the cloud business, and they were thirty nine

0:16:16.520 --> 0:16:19.400
<v Speaker 4>percent ninety days ago, like what the heck? And they

0:16:19.400 --> 0:16:22.360
<v Speaker 4>say their capacity constrained. So then we would forgive them

0:16:22.400 --> 0:16:25.640
<v Speaker 4>if they only report seventeen percent revenue growth, But then

0:16:25.680 --> 0:16:27.360
<v Speaker 4>why aren't your margins sixty percent?

0:16:27.400 --> 0:16:28.520
<v Speaker 5>Why aren't they forty percent?

0:16:28.560 --> 0:16:31.040
<v Speaker 4>Again it why not sell to the highest bid or

0:16:31.040 --> 0:16:35.120
<v Speaker 4>the last you know, you know, one gig of capacity.

0:16:35.440 --> 0:16:38.600
<v Speaker 4>So we saw that in both Azure over at Microsoft

0:16:38.880 --> 0:16:41.960
<v Speaker 4>and in Google Cloud slower I mean.

0:16:41.880 --> 0:16:44.880
<v Speaker 5>Growth rates, but really high margins. And that just didn't

0:16:44.880 --> 0:16:45.400
<v Speaker 5>play out at.

0:16:45.320 --> 0:16:46.880
<v Speaker 6>Amazon all right around the world.

0:16:46.920 --> 0:16:49.640
<v Speaker 1>We went Thank you so much, Laura, always appreciate it.

0:16:49.640 --> 0:16:52.280
<v Speaker 1>By the way, Laura's got a by rating on Amazon

0:16:52.320 --> 0:16:54.520
<v Speaker 1>with a two hundred and sixty five dollars share price target.

0:16:54.560 --> 0:16:56.800
<v Speaker 1>The stock right now just below two fifteen his share

0:16:56.880 --> 0:16:58.560
<v Speaker 1>Laura Martin, have a great weekend.

0:16:58.600 --> 0:17:01.000
<v Speaker 6>Senior analyst at need him in Cup Joining us.

0:17:05.960 --> 0:17:09.959
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

0:17:10.040 --> 0:17:13.480
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:17:13.520 --> 0:17:17.080
<v Speaker 2>on Applecarplay and Android Auto with the Bloomberg Business app,

0:17:17.240 --> 0:17:19.639
<v Speaker 2>or watch us live on YouTube.

0:17:19.720 --> 0:17:22.480
<v Speaker 1>Microsoft this past week reported better than expected growth in

0:17:22.560 --> 0:17:25.959
<v Speaker 1>its cloud business and said spending on AI infrastructure hit

0:17:26.000 --> 0:17:29.479
<v Speaker 1>a record. The closely watched Azure cloud computing unit posted

0:17:29.480 --> 0:17:32.320
<v Speaker 1>a thirty nine percent rise in sales during Microsoft's fiscal

0:17:32.359 --> 0:17:35.159
<v Speaker 1>fourth quarter. Company also said sales at the cloud division

0:17:35.200 --> 0:17:38.119
<v Speaker 1>grew thirty four percent to more than seventy five billion

0:17:38.160 --> 0:17:40.800
<v Speaker 1>dollars during the year end of June thirtieth, the first

0:17:40.880 --> 0:17:43.880
<v Speaker 1>time the company has disclosed a revenue figure for Azure.

0:17:44.200 --> 0:17:47.800
<v Speaker 3>Meanwhile, the week before Google parent Alphabet and to deal

0:17:47.840 --> 0:17:50.720
<v Speaker 3>with more than a billion dollars to provide cloud computing

0:17:50.760 --> 0:17:55.000
<v Speaker 3>services to the software firm Service. Now, Alphabet's massive spend

0:17:55.040 --> 0:17:58.000
<v Speaker 3>on AI has helped its score major client wins, especially

0:17:58.040 --> 0:18:01.920
<v Speaker 3>among AI startups, all will making strides against its competitors

0:18:01.920 --> 0:18:06.160
<v Speaker 3>such as Amazon Web Services and Azure from Microsoft. Remember,

0:18:06.359 --> 0:18:09.120
<v Speaker 3>back in February, Salesforce agreed to spend at least two

0:18:09.119 --> 0:18:12.240
<v Speaker 3>and a half billion dollars over seven years on Google's

0:18:12.240 --> 0:18:13.119
<v Speaker 3>cloud services.

0:18:13.440 --> 0:18:16.840
<v Speaker 1>And so no surprise perhaps to Google's cloud computing unit

0:18:17.000 --> 0:18:21.159
<v Speaker 1>revenue topping analyst estimates when it recently gave it's coarly update.

0:18:21.560 --> 0:18:24.040
<v Speaker 1>So yeah, we wanted to know more and we got

0:18:24.040 --> 0:18:26.639
<v Speaker 1>the chance when we were joined by Francis Desuza. He

0:18:26.760 --> 0:18:29.840
<v Speaker 1>is the first chief operating officer of Google Cloud.

0:18:30.000 --> 0:18:30.200
<v Speaker 9>Yeah.

0:18:30.280 --> 0:18:32.480
<v Speaker 10>Right now, it feels like there are two powerful mega

0:18:32.520 --> 0:18:35.159
<v Speaker 10>trends that are playing out in the enterprise market. The

0:18:35.200 --> 0:18:38.399
<v Speaker 10>first is, you know, the continued move by companies of

0:18:38.440 --> 0:18:41.760
<v Speaker 10>their workloads to the cloud, of their applications to the cloud.

0:18:42.040 --> 0:18:44.479
<v Speaker 10>And the second, much bigger trend that's playing at right

0:18:44.520 --> 0:18:48.240
<v Speaker 10>now is the adoption of AI by companies and those

0:18:48.280 --> 0:18:51.639
<v Speaker 10>two powerful mega trends are driving our business and fueling

0:18:51.640 --> 0:18:53.879
<v Speaker 10>the growth that you saw in the quarter. And so

0:18:54.280 --> 0:18:56.760
<v Speaker 10>what we're seeing on the AI side is, you know,

0:18:56.800 --> 0:18:59.760
<v Speaker 10>this is the fastest in my career that I've seen

0:18:59.800 --> 0:19:03.320
<v Speaker 10>at technology move from pilots to production. And so what

0:19:03.520 --> 0:19:06.159
<v Speaker 10>we're in talking to customers, what they're telling is is

0:19:06.160 --> 0:19:09.280
<v Speaker 10>they're recognizing the benefits that AI can bring into their

0:19:09.320 --> 0:19:12.159
<v Speaker 10>company across the board. You know, we have companies that

0:19:12.400 --> 0:19:16.480
<v Speaker 10>like Verizon that are using AI to help do customers support.

0:19:17.080 --> 0:19:20.359
<v Speaker 10>We work at Seattle Children's Hospital that's using AI to

0:19:20.480 --> 0:19:24.640
<v Speaker 10>inform physicians in their communications with patients. We also have

0:19:24.680 --> 0:19:28.040
<v Speaker 10>companies like Papa John's or McDonald's that are using AI

0:19:28.080 --> 0:19:31.520
<v Speaker 10>in the franchises. And so we're seeing broad adoption by

0:19:31.680 --> 0:19:35.040
<v Speaker 10>enterprises across a number of places where they can see

0:19:35.040 --> 0:19:36.040
<v Speaker 10>the benefits from AI.

0:19:36.359 --> 0:19:38.480
<v Speaker 3>You just mentioned a few examples of companies that you

0:19:38.520 --> 0:19:40.480
<v Speaker 3>work with. There are a lot of small businesses, though,

0:19:40.520 --> 0:19:43.480
<v Speaker 3>and even large businesses that I think it's fair to

0:19:43.520 --> 0:19:47.679
<v Speaker 3>say haven't fully harnessed what you view as the opportunity

0:19:47.680 --> 0:19:49.800
<v Speaker 3>when it comes to AI. How big of an opportunity

0:19:49.840 --> 0:19:52.200
<v Speaker 3>is it for Google Cloud? What's a number. How can

0:19:52.240 --> 0:19:52.960
<v Speaker 3>you quantify this?

0:19:53.400 --> 0:19:55.520
<v Speaker 10>Yeah, I think you're absolutely right in that we're the

0:19:55.680 --> 0:19:58.440
<v Speaker 10>very early stages of what is a very large sort

0:19:58.440 --> 0:19:59.960
<v Speaker 10>of adoption market in front.

0:19:59.800 --> 0:20:00.400
<v Speaker 2>Of it now.

0:20:00.800 --> 0:20:03.159
<v Speaker 10>You know, you look at the numbers we delivered, you know,

0:20:03.240 --> 0:20:06.640
<v Speaker 10>last quarter and Google Cloud, we delivered thirteen point six

0:20:06.680 --> 0:20:08.840
<v Speaker 10>billion dollars in revenue, and as you said, that's up

0:20:08.880 --> 0:20:11.639
<v Speaker 10>thirty two percent year over year. So although the numbers

0:20:11.680 --> 0:20:14.080
<v Speaker 10>are already big, we're still just at the very very

0:20:14.119 --> 0:20:18.040
<v Speaker 10>beginning of AI adoption by companies. And that's true whether

0:20:18.080 --> 0:20:20.320
<v Speaker 10>you look at small companies who are starting to use

0:20:20.359 --> 0:20:23.359
<v Speaker 10>it in terms of their outreach to customers to scale

0:20:23.440 --> 0:20:26.520
<v Speaker 10>up their presence from a marketing perspective, all the way

0:20:26.560 --> 0:20:28.720
<v Speaker 10>to large enterprises. We're just at the very beginning of

0:20:28.760 --> 0:20:29.400
<v Speaker 10>this big wave.

0:20:29.600 --> 0:20:29.800
<v Speaker 8>You know.

0:20:29.880 --> 0:20:31.480
<v Speaker 1>One of the things Francis said, I'm so glad we

0:20:31.480 --> 0:20:33.239
<v Speaker 1>could get some time with you, is that, you know,

0:20:33.320 --> 0:20:36.920
<v Speaker 1>everybody kind of throws out AI and large language models generally,

0:20:36.960 --> 0:20:39.480
<v Speaker 1>and we're just trying to get more of an understanding

0:20:39.520 --> 0:20:41.600
<v Speaker 1>of how this all impacts our world.

0:20:41.680 --> 0:20:43.080
<v Speaker 6>Drilled down a little bit further.

0:20:43.119 --> 0:20:45.480
<v Speaker 1>In terms of the customers that you are working with, big,

0:20:45.520 --> 0:20:49.240
<v Speaker 1>medium and small and how they are using.

0:20:48.960 --> 0:20:50.960
<v Speaker 6>AI and how it's going to impact our lives.

0:20:52.119 --> 0:20:54.920
<v Speaker 10>Yeah, we're seeing it show up in enterprises in a

0:20:54.920 --> 0:20:56.600
<v Speaker 10>whole bunch of different ways, and so let me give

0:20:56.640 --> 0:21:00.320
<v Speaker 10>you some examples. You know, some large manufacturers like Toyota,

0:21:00.400 --> 0:21:04.320
<v Speaker 10>for example, or Honeywell are using AI on the factory

0:21:04.359 --> 0:21:07.040
<v Speaker 10>floor to provide information to the people working on the

0:21:07.080 --> 0:21:11.119
<v Speaker 10>factory floor to improve their operational ability, and also to

0:21:11.200 --> 0:21:15.520
<v Speaker 10>provide access for their customers to engineering and technical support

0:21:15.720 --> 0:21:19.240
<v Speaker 10>documents around the product, so make it easier for customers

0:21:19.280 --> 0:21:23.160
<v Speaker 10>to navigate and find the information they need. We're seeing

0:21:23.960 --> 0:21:28.240
<v Speaker 10>some hospitals, as I talked about, helping using AI to

0:21:28.359 --> 0:21:33.320
<v Speaker 10>help provide physicians access to whether it's guidelines or any

0:21:33.359 --> 0:21:37.560
<v Speaker 10>background information. In addition, we're seeing hospitals use AI to

0:21:37.800 --> 0:21:42.600
<v Speaker 10>automatically transcribe the communications with their patients. So what AI

0:21:42.680 --> 0:21:45.320
<v Speaker 10>will do is actually take the notes automatically and then

0:21:45.440 --> 0:21:48.159
<v Speaker 10>upload it into the systems that it needs to. What

0:21:48.200 --> 0:21:51.159
<v Speaker 10>that does is it frees up time for the medical

0:21:51.160 --> 0:21:53.840
<v Speaker 10>professionals to do what they do best, which is deal

0:21:53.920 --> 0:21:58.359
<v Speaker 10>with patients. We're seeing small businesses they're using AI to

0:21:58.440 --> 0:22:02.440
<v Speaker 10>create marketing materials and do that much more efficiently. We're

0:22:02.440 --> 0:22:05.960
<v Speaker 10>seeing large retailers like Wayfair that are using AI to

0:22:06.040 --> 0:22:09.600
<v Speaker 10>create more personalized experiences for their customers when you come

0:22:09.600 --> 0:22:12.959
<v Speaker 10>to the website, so you can imagine as you're using Wayfair,

0:22:13.000 --> 0:22:15.840
<v Speaker 10>you can imagine how the furniture items will look in

0:22:15.920 --> 0:22:19.600
<v Speaker 10>your environment, and that provides a better shopping experience for customers.

0:22:19.600 --> 0:22:23.080
<v Speaker 10>So we're seeing a wide swath of ways that AI

0:22:23.200 --> 0:22:24.400
<v Speaker 10>is being used in companies.

0:22:24.560 --> 0:22:27.359
<v Speaker 1>I'm so glad you mentioned kind of the medical area

0:22:27.440 --> 0:22:29.280
<v Speaker 1>and what they're doing, because I think a lot of

0:22:29.280 --> 0:22:32.160
<v Speaker 1>folks come on our air and talk to the Bloomberg

0:22:32.200 --> 0:22:36.760
<v Speaker 1>audience and talk about how AI might significantly impact not

0:22:36.800 --> 0:22:39.919
<v Speaker 1>just hospitals, but just how we get medical care. You

0:22:40.040 --> 0:22:42.320
<v Speaker 1>are the former CEO of Alumina, and I think about

0:22:42.400 --> 0:22:46.560
<v Speaker 1>DNA sequencing and all of the information and data that

0:22:46.600 --> 0:22:49.640
<v Speaker 1>could potentially improve how we are treated when it comes

0:22:49.640 --> 0:22:52.800
<v Speaker 1>to healthcare. How are you thinking about that space and

0:22:52.840 --> 0:22:55.200
<v Speaker 1>what it might mean for Google Cloud and demand there.

0:22:56.160 --> 0:22:57.639
<v Speaker 10>Yeah, I think AI is going to have a very

0:22:57.720 --> 0:23:01.399
<v Speaker 10>big impact in a number of ways across healthcare. Right,

0:23:01.440 --> 0:23:03.679
<v Speaker 10>So if we talked about some ways where it's helping

0:23:03.960 --> 0:23:07.720
<v Speaker 10>in the delivery of care by freeing up medical professionals

0:23:08.200 --> 0:23:11.679
<v Speaker 10>from administrative tasks and using more of their time to

0:23:11.720 --> 0:23:15.800
<v Speaker 10>actually interact with patients. In addition, it's also helping medical professionals,

0:23:16.040 --> 0:23:19.640
<v Speaker 10>you know, get access to the information they need across

0:23:19.680 --> 0:23:22.359
<v Speaker 10>a whole swath of information, so you know, they need

0:23:22.400 --> 0:23:24.520
<v Speaker 10>to be able to stay on top of guidelines as

0:23:24.520 --> 0:23:27.760
<v Speaker 10>they emerge, new research that's being published, as well as

0:23:27.800 --> 0:23:30.760
<v Speaker 10>all the information on the patient, and increasingly, you know,

0:23:30.760 --> 0:23:33.320
<v Speaker 10>we're getting more and more personalized information on a patient.

0:23:33.359 --> 0:23:35.879
<v Speaker 10>You talked about genomics, there are a lot of images

0:23:36.119 --> 0:23:38.480
<v Speaker 10>as well as previous lab tests, and so what AI

0:23:38.600 --> 0:23:41.520
<v Speaker 10>can do is sort of take all that information and

0:23:41.600 --> 0:23:44.359
<v Speaker 10>present it in a more digestible way so that you

0:23:44.400 --> 0:23:48.440
<v Speaker 10>can make better decisions. In addition, AI can also help

0:23:48.560 --> 0:23:51.360
<v Speaker 10>you know earlier in the process of drug development. We've

0:23:51.400 --> 0:23:56.320
<v Speaker 10>seen fantastic advances with tools like alpha fold, which allows

0:23:56.359 --> 0:24:00.000
<v Speaker 10>you to you know, deduce a three D protein structure

0:24:00.119 --> 0:24:03.240
<v Speaker 10>US hundreds of millions of protein types. What that does,

0:24:03.280 --> 0:24:06.440
<v Speaker 10>then is that allows you to identify maybe new druggable

0:24:06.520 --> 0:24:09.800
<v Speaker 10>targets that allow you to treat diseases. And I can

0:24:09.840 --> 0:24:13.120
<v Speaker 10>also help bring information together, you know, the genomic information,

0:24:13.240 --> 0:24:17.720
<v Speaker 10>the phenotypic information, you know the imaging information and help

0:24:17.840 --> 0:24:21.880
<v Speaker 10>us get better understanding of what causes diseases and how

0:24:21.920 --> 0:24:25.000
<v Speaker 10>they develop, and that could give us new insights that

0:24:25.080 --> 0:24:26.880
<v Speaker 10>allow us to think about how we can treat those

0:24:26.920 --> 0:24:31.240
<v Speaker 10>diseases better. So in almost every part of the healthcare industry,

0:24:31.480 --> 0:24:34.160
<v Speaker 10>you can see how AI can help improve that industry.

0:24:34.400 --> 0:24:37.680
<v Speaker 3>We're speaking with Francis deesu'sa chief operating officer over at

0:24:37.840 --> 0:24:40.080
<v Speaker 3>Google Cloud. Francis, I want to talk a little bit

0:24:40.080 --> 0:24:43.639
<v Speaker 3>about competition. For years, Amazon has been number one. According

0:24:43.680 --> 0:24:46.520
<v Speaker 3>to our Bloomberg Intelligence team and data from IDC. In

0:24:46.560 --> 0:24:50.359
<v Speaker 3>twenty twenty three, AWS had about forty seven percent of

0:24:50.400 --> 0:24:53.320
<v Speaker 3>the infrastructure as a service market share, Microsoft in second

0:24:53.320 --> 0:24:56.760
<v Speaker 3>place with sixteen percent, and then Google coming in with

0:24:56.880 --> 0:24:59.680
<v Speaker 3>about six percent. How do you get to number two

0:25:00.080 --> 0:25:00.760
<v Speaker 3>then number one?

0:25:01.920 --> 0:25:05.040
<v Speaker 10>What's really interesting is that as I talk to customers

0:25:05.119 --> 0:25:07.840
<v Speaker 10>with their things as a convergence of two really big

0:25:07.880 --> 0:25:11.320
<v Speaker 10>important spaces. One is the cloud spaces you talked about,

0:25:11.359 --> 0:25:15.320
<v Speaker 10>and two AI. So nearly every customer conversation I have

0:25:15.440 --> 0:25:18.359
<v Speaker 10>now in prospect conversation I have is really all about

0:25:18.400 --> 0:25:21.840
<v Speaker 10>AI and how it will impact businesses. And we are

0:25:21.880 --> 0:25:25.480
<v Speaker 10>the only hyperscaler that actually has our own AI stack.

0:25:25.560 --> 0:25:28.000
<v Speaker 10>So if you think about every part of the AI

0:25:28.080 --> 0:25:32.520
<v Speaker 10>technology stack, Google has leading technology. So for example, on

0:25:32.560 --> 0:25:35.040
<v Speaker 10>the chip side, we're one of the largest partners in

0:25:35.040 --> 0:25:37.879
<v Speaker 10>the world with Nvidia on GPUs, but we also have

0:25:37.960 --> 0:25:42.560
<v Speaker 10>our own technology TPUs that are very highly performant and

0:25:42.560 --> 0:25:45.000
<v Speaker 10>we run them in our data centers. In terms of

0:25:45.040 --> 0:25:49.240
<v Speaker 10>the models, we work with a number of other model providers,

0:25:49.280 --> 0:25:51.200
<v Speaker 10>so if you go into our model garden, you know

0:25:51.320 --> 0:25:54.400
<v Speaker 10>you can access models from companies like Anthropic and deep Seek,

0:25:54.760 --> 0:25:57.400
<v Speaker 10>but we also have the world's leading model with Gemini

0:25:57.440 --> 0:26:00.159
<v Speaker 10>two dot five, which is performing really well on the

0:26:00.200 --> 0:26:02.960
<v Speaker 10>top of the leader boards in almost every part of AI.

0:26:03.359 --> 0:26:06.680
<v Speaker 10>And so here too we provide our own leading technologies,

0:26:06.720 --> 0:26:09.520
<v Speaker 10>and it's Gemini, but it's also our image models, our

0:26:09.640 --> 0:26:13.800
<v Speaker 10>video models, our time series models, our weather models, and

0:26:13.840 --> 0:26:16.479
<v Speaker 10>then we also provide our own applications on top of that,

0:26:17.200 --> 0:26:20.080
<v Speaker 10>like Agent Space that allow companies to easily develop their

0:26:20.119 --> 0:26:24.000
<v Speaker 10>own agents. And then we have a leading cybersecurity portfolio.

0:26:24.119 --> 0:26:27.240
<v Speaker 10>And so where we are differentiated in the market is

0:26:27.240 --> 0:26:29.240
<v Speaker 10>that as we talk to customers, we're really the only

0:26:29.320 --> 0:26:32.080
<v Speaker 10>hyperscaler that can talk about our own native AI stack

0:26:32.160 --> 0:26:35.440
<v Speaker 10>that's leading technologies in each part of the stack as

0:26:35.480 --> 0:26:38.119
<v Speaker 10>well as our cloud, and that's playing really well, and

0:26:38.160 --> 0:26:40.439
<v Speaker 10>that's driving a lot of the results that you are seeing.

0:26:40.640 --> 0:26:42.640
<v Speaker 1>I got to say, it's the thinking models, the Gemini

0:26:42.760 --> 0:26:46.040
<v Speaker 1>two point five that really kind of are blowing everybody's minds.

0:26:46.160 --> 0:26:47.800
<v Speaker 6>Hey, one thing I want to ask you, speaking.

0:26:47.560 --> 0:26:51.160
<v Speaker 1>Of customers, Tim and I full disclosure, we talk about

0:26:51.160 --> 0:26:53.159
<v Speaker 1>it a lot. Are a little bit obsessed with weimo.

0:26:53.560 --> 0:26:56.560
<v Speaker 1>How much is weimo using Google Cloud. I'm just curious

0:26:56.720 --> 0:26:59.959
<v Speaker 1>in terms of keeping that all going and running.

0:27:01.280 --> 0:27:04.000
<v Speaker 10>Yeah, I totally understand why you love Weimo. I love

0:27:04.000 --> 0:27:06.359
<v Speaker 10>weimo too. Living in San Francisco, I've been using it

0:27:06.400 --> 0:27:08.720
<v Speaker 10>for a few years and my daughters and I love

0:27:08.760 --> 0:27:11.840
<v Speaker 10>it as you can imagine, you know, being sister, you

0:27:11.880 --> 0:27:15.560
<v Speaker 10>know parts of Google. We leverage technologies that Google Cloud

0:27:15.600 --> 0:27:18.119
<v Speaker 10>is building as well as deep Mind is building, and

0:27:18.160 --> 0:27:21.040
<v Speaker 10>so you as you could imagine, you know, there's really

0:27:21.080 --> 0:27:24.680
<v Speaker 10>close interactions from a technology perspective across these different parts

0:27:24.720 --> 0:27:25.119
<v Speaker 10>of Google.

0:27:25.560 --> 0:27:27.000
<v Speaker 6>Hey, just thirty seconds left.

0:27:27.040 --> 0:27:27.600
<v Speaker 5>Security.

0:27:28.280 --> 0:27:33.520
<v Speaker 1>As we know your former background semant tech, you understand

0:27:33.560 --> 0:27:37.720
<v Speaker 1>the importance of security specifically, and I'm just curious, what

0:27:37.800 --> 0:27:39.440
<v Speaker 1>do you keep top of mind when you think about

0:27:39.440 --> 0:27:41.960
<v Speaker 1>the security of Google Cloud and keeping it secure.

0:27:43.160 --> 0:27:46.320
<v Speaker 10>Yeah, as you point out, security is a really important

0:27:46.320 --> 0:27:48.920
<v Speaker 10>area for us to focus on, and it's a core

0:27:48.960 --> 0:27:51.440
<v Speaker 10>part of the value that we deliver to our customers

0:27:51.480 --> 0:27:55.240
<v Speaker 10>in terms of providing a very resilient, protected cloud. There

0:27:55.280 --> 0:27:56.959
<v Speaker 10>are a number of things that you know that are

0:27:57.000 --> 0:27:59.239
<v Speaker 10>top of mind for us and for our customers as

0:27:59.240 --> 0:28:02.800
<v Speaker 10>we talk aboutecurity, especially in a world of AI. One

0:28:03.040 --> 0:28:07.120
<v Speaker 10>is it's important that security companies are leaning deep into

0:28:07.240 --> 0:28:11.680
<v Speaker 10>leveraging AI to improve their security capabilities. So we offer agents,

0:28:11.720 --> 0:28:14.520
<v Speaker 10>for example, that customers can deploy as part of their

0:28:14.520 --> 0:28:18.440
<v Speaker 10>security operations center as part of their threat intelligence gathering,

0:28:19.160 --> 0:28:22.840
<v Speaker 10>and so we're also doing research on how AI can

0:28:22.880 --> 0:28:26.000
<v Speaker 10>be leveraged by the bad actors and think about how

0:28:26.000 --> 0:28:28.800
<v Speaker 10>you can stay on top of providing defenses for things

0:28:28.920 --> 0:28:32.400
<v Speaker 10>like you know, altered images and videos and deep fakes.

0:28:32.960 --> 0:28:35.760
<v Speaker 10>It's also important to our customers that the security we

0:28:35.840 --> 0:28:39.800
<v Speaker 10>provide works multi clouds, so not just for Google Cloud,

0:28:39.840 --> 0:28:42.400
<v Speaker 10>but that they can have the same security posture for

0:28:42.440 --> 0:28:44.680
<v Speaker 10>workloads that they have on other clouds as well, and

0:28:44.720 --> 0:28:47.120
<v Speaker 10>so that's an important part of the conversation too. So

0:28:47.240 --> 0:28:50.440
<v Speaker 10>provide leading edge technologies, stay on top of AI and

0:28:50.480 --> 0:28:54.400
<v Speaker 10>the expanding sort of threat landscape that opens up. And

0:28:54.400 --> 0:28:56.800
<v Speaker 10>then also make sure that whatever you give us, you know,

0:28:56.960 --> 0:28:58.240
<v Speaker 10>works across clouds.

0:28:58.400 --> 0:29:00.640
<v Speaker 1>So glad we could get some time with you to SUSA.

0:29:00.680 --> 0:29:03.160
<v Speaker 1>He's the Chief Operating Officer at Google Cloud, former CEO

0:29:03.200 --> 0:29:06.400
<v Speaker 1>of Alumina, and also former president at Samantech, where he

0:29:06.480 --> 0:29:09.280
<v Speaker 1>oversaw the security and data management portfolio.

0:29:10.360 --> 0:29:14.240
<v Speaker 2>This is the Bloomberg Business Week Daily Podcast. Listen live

0:29:14.320 --> 0:29:17.760
<v Speaker 2>each weekday starting at two pm Eastern on Applecarplay and

0:29:17.800 --> 0:29:20.480
<v Speaker 2>the Android Auto with the Bloomberg Business App. You can

0:29:20.480 --> 0:29:23.640
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

0:29:23.720 --> 0:29:27.040
<v Speaker 2>York station, Just Say Alexa played Bloomberg eleven.

0:29:26.840 --> 0:29:30.800
<v Speaker 1>Thirty Shares of Astra Zeneca rose this past week, right

0:29:30.840 --> 0:29:33.719
<v Speaker 1>after it reported better than expected sales and rising profit

0:29:33.800 --> 0:29:36.760
<v Speaker 1>for the second quarter, spurred by its stable of cancer

0:29:36.800 --> 0:29:39.920
<v Speaker 1>medicines and growth in the US. The company recently pledged

0:29:40.040 --> 0:29:43.520
<v Speaker 1>fifty billion dollars by twenty thirty in both production and

0:29:43.560 --> 0:29:46.520
<v Speaker 1>research and development in the United States, as it seeks

0:29:46.520 --> 0:29:50.000
<v Speaker 1>to show President Trump's administration it is serious about making

0:29:50.040 --> 0:29:51.240
<v Speaker 1>medicines locally.

0:29:51.520 --> 0:29:54.560
<v Speaker 3>A few days later, President Donald Trump sent letters to

0:29:54.720 --> 0:29:58.120
<v Speaker 3>seventeen of the world's largest drug makers demanding that they

0:29:58.240 --> 0:30:01.320
<v Speaker 3>charged the US what other country pay for new medicines.

0:30:01.640 --> 0:30:04.520
<v Speaker 3>The letter added that they immediately lower what they charge

0:30:04.560 --> 0:30:08.600
<v Speaker 3>Medicaid for existing drugs and guarantee that future medicines be

0:30:08.680 --> 0:30:11.560
<v Speaker 3>launched and remain at prices on par with what they

0:30:11.600 --> 0:30:15.440
<v Speaker 3>cost overseas. On top of that, US Commerce Secretary Howard

0:30:15.480 --> 0:30:18.720
<v Speaker 3>Lutnik also said that the US will impose a massive

0:30:18.760 --> 0:30:21.720
<v Speaker 3>tariff if pharmaceuticals are not made in the US. For

0:30:21.800 --> 0:30:24.080
<v Speaker 3>the latest head on over to Bloomberg dot com.

0:30:24.360 --> 0:30:27.880
<v Speaker 1>Tar of certainly top of mind for many global pharmaceutical executives.

0:30:28.160 --> 0:30:32.640
<v Speaker 1>One of them Pascal Surio. He is Astrozenica's chief executive officer,

0:30:32.760 --> 0:30:35.960
<v Speaker 1>and he joined us alongside Bloomberg News health reporter Madison

0:30:36.000 --> 0:30:37.040
<v Speaker 1>Mueller in studio.

0:30:37.240 --> 0:30:39.200
<v Speaker 11>I mean, I think, first of what it's important to

0:30:39.280 --> 0:30:42.600
<v Speaker 11>really think about what every country would want to do,

0:30:42.680 --> 0:30:44.959
<v Speaker 11>because every country would want to make sure they can

0:30:45.320 --> 0:30:47.760
<v Speaker 11>they can secure the health of their citizens.

0:30:47.840 --> 0:30:49.560
<v Speaker 9>It's a question of national security.

0:30:49.880 --> 0:30:53.320
<v Speaker 11>So nobody should be surprised that the president wants to

0:30:54.200 --> 0:30:59.720
<v Speaker 11>reshow manufacturing of pharmaceutical products. I personally have seen this

0:30:59.800 --> 0:31:02.840
<v Speaker 11>have been since several years, and we decided several years

0:31:02.840 --> 0:31:06.120
<v Speaker 11>ago to increase some manufacturing footprint in the US so

0:31:06.160 --> 0:31:10.560
<v Speaker 11>we can actually manufacture many scenes for American patients in America.

0:31:10.600 --> 0:31:12.920
<v Speaker 11>Every country would want to do that, and a big

0:31:12.920 --> 0:31:15.360
<v Speaker 11>country like America, of course kind effort to do it.

0:31:15.720 --> 0:31:18.240
<v Speaker 3>You said that you made that decision several years ago.

0:31:18.360 --> 0:31:21.320
<v Speaker 3>How much of the fifty billion dollar pledge was planned

0:31:21.360 --> 0:31:23.920
<v Speaker 3>before the President threatened these terraffs.

0:31:24.000 --> 0:31:27.200
<v Speaker 11>Well, we've been pursuing this strategy of manufacturing in China

0:31:27.240 --> 0:31:29.960
<v Speaker 11>for China, in the US, for the US since five

0:31:30.040 --> 0:31:33.000
<v Speaker 11>six years and quite frankly, COVID actually showed us we

0:31:33.000 --> 0:31:35.200
<v Speaker 11>were on the right track because we all saw what

0:31:35.280 --> 0:31:39.080
<v Speaker 11>happened during COVID, and so we accelrated this movement. And

0:31:39.120 --> 0:31:42.440
<v Speaker 11>so our fifty billion commitment is a commitment to R

0:31:42.520 --> 0:31:45.840
<v Speaker 11>and D but also commitment to manufacturing. We announced together

0:31:45.920 --> 0:31:48.960
<v Speaker 11>with the Governor of Virginia, a multi billion dollar investment

0:31:49.000 --> 0:31:52.520
<v Speaker 11>in manufacturing in Virginia. And the Governor of Virginia has

0:31:52.520 --> 0:31:55.440
<v Speaker 11>been incredibly fast with this team. So the three days

0:31:55.480 --> 0:31:58.560
<v Speaker 11>to reach an agreement, it's incredible. So we're very happy

0:31:58.600 --> 0:32:00.600
<v Speaker 11>to be there. We are building on you R and

0:32:00.680 --> 0:32:04.200
<v Speaker 11>the site and Kendle Square, Cambridge, Massachusett with twenty five

0:32:04.280 --> 0:32:07.280
<v Speaker 11>hundred scientists that we'll be working there, and there's more

0:32:07.320 --> 0:32:10.360
<v Speaker 11>to come. We're just finishing the build of a Celtes

0:32:10.480 --> 0:32:16.080
<v Speaker 11>RP manufacturing site in Rockville, Maryland. We've expanded in California.

0:32:16.160 --> 0:32:20.080
<v Speaker 11>So so it's a sort of multi prane effort across

0:32:20.120 --> 0:32:21.560
<v Speaker 11>many states across the US.

0:32:21.880 --> 0:32:24.440
<v Speaker 12>You know, you've said that Virginia obviously has made it

0:32:24.480 --> 0:32:28.120
<v Speaker 12>easy to make manufacturing investments there in North Carolina is

0:32:28.160 --> 0:32:30.840
<v Speaker 12>pretty similar. Are there other states in the US where

0:32:31.200 --> 0:32:34.160
<v Speaker 12>you're having these types of good conversations that are you know,

0:32:34.200 --> 0:32:37.640
<v Speaker 12>incentivizing businesses like yours to invest.

0:32:37.960 --> 0:32:40.520
<v Speaker 11>Well, you know, it's hard for me to point the

0:32:40.520 --> 0:32:44.120
<v Speaker 11>point that any state that is better than another. Let

0:32:44.160 --> 0:32:45.720
<v Speaker 11>me just say that we have.

0:32:45.720 --> 0:32:46.720
<v Speaker 6>No problem.

0:32:50.520 --> 0:32:53.040
<v Speaker 3>From different in New Jersey.

0:32:53.280 --> 0:32:54.960
<v Speaker 11>Let me let me just say that the company like

0:32:55.520 --> 0:32:59.760
<v Speaker 11>is for other science. So science is key, and so

0:32:59.840 --> 0:33:01.880
<v Speaker 11>you need to be able to recruit the right sciences,

0:33:01.920 --> 0:33:04.600
<v Speaker 11>the right engineers. And in Virginia you can do this

0:33:04.680 --> 0:33:07.560
<v Speaker 11>because you have some of the best university universities. The

0:33:07.640 --> 0:33:10.560
<v Speaker 11>other part is dealing with partners in a public sector

0:33:10.600 --> 0:33:13.280
<v Speaker 11>that understand us, that we trust each other.

0:33:13.400 --> 0:33:14.320
<v Speaker 9>We can move fast.

0:33:14.920 --> 0:33:17.680
<v Speaker 11>You know, I always tell people in our company talk

0:33:17.680 --> 0:33:21.480
<v Speaker 11>about Astrazenica speed because there's a lot of competition. We

0:33:21.520 --> 0:33:25.040
<v Speaker 11>need to move fast. I've learned Virginia speed. The governor

0:33:25.080 --> 0:33:27.520
<v Speaker 11>has moved so quickly. So this is the kind of

0:33:27.560 --> 0:33:29.680
<v Speaker 11>thing we want to see, whether it's in America, in

0:33:29.720 --> 0:33:31.800
<v Speaker 11>a state or in a country. We want speed and

0:33:31.840 --> 0:33:34.120
<v Speaker 11>we want people to understand how we think.

0:33:34.040 --> 0:33:35.800
<v Speaker 3>You want speed. You want people to understand how you

0:33:35.800 --> 0:33:37.480
<v Speaker 3>think you want to You said you want to follow

0:33:37.520 --> 0:33:41.200
<v Speaker 3>the science. There has been criticism that Robert F. Kennedy Junior,

0:33:41.200 --> 0:33:43.800
<v Speaker 3>the Secretary of Health and Human Services, has not necessarily

0:33:43.840 --> 0:33:46.000
<v Speaker 3>always followed the science with his comments when it comes

0:33:46.080 --> 0:33:48.640
<v Speaker 3>to medicine, when it comes to drugs, when it comes

0:33:48.680 --> 0:33:51.239
<v Speaker 3>to vaccines. How do you look at that and his

0:33:51.360 --> 0:33:51.840
<v Speaker 3>role there.

0:33:52.600 --> 0:33:55.640
<v Speaker 11>Well, you know, I'm not here to actually get involved

0:33:55.640 --> 0:34:00.120
<v Speaker 11>in political discourses. Let me just say that as a company,

0:34:00.120 --> 0:34:02.840
<v Speaker 11>sciences at the heart of everything we do. The reason

0:34:02.880 --> 0:34:06.800
<v Speaker 11>we have such a large oncology pipeline and particular and

0:34:07.600 --> 0:34:10.239
<v Speaker 11>beyond this is because we've focused on science for the

0:34:10.320 --> 0:34:15.200
<v Speaker 11>last ten twelve years, and America is where science in

0:34:15.239 --> 0:34:18.200
<v Speaker 11>our industry is happening. And that's why it's so critical

0:34:18.239 --> 0:34:23.600
<v Speaker 11>to preserve this biosciences leadership the US hires globally. China

0:34:23.680 --> 0:34:26.400
<v Speaker 11>is also becoming a very big source of innovation in

0:34:26.440 --> 0:34:30.000
<v Speaker 11>our industry. Your open fortunately is fulling behind for a

0:34:30.080 --> 0:34:33.319
<v Speaker 11>variety of reasons. So innovation is happening here. We need

0:34:33.360 --> 0:34:34.240
<v Speaker 11>to keep this going.

0:34:34.360 --> 0:34:34.879
<v Speaker 9>We need to.

0:34:34.960 --> 0:34:38.800
<v Speaker 11>Actually continue supporting the leadership. And that's why we invest

0:34:38.880 --> 0:34:42.400
<v Speaker 11>fifty billion dollars in this country, not only in manufacturing,

0:34:42.440 --> 0:34:43.319
<v Speaker 11>but also in R and D.

0:34:43.640 --> 0:34:45.880
<v Speaker 1>What about China, I'd love you to kind of explore

0:34:45.880 --> 0:34:48.520
<v Speaker 1>that a little bit. What are you investing in and

0:34:48.560 --> 0:34:52.239
<v Speaker 1>building out in China and what might surprise our audience

0:34:52.280 --> 0:34:55.160
<v Speaker 1>about the innovation that's happening in China, especially when it

0:34:55.160 --> 0:34:56.040
<v Speaker 1>comes to pharmaceuticals.

0:34:56.120 --> 0:34:58.680
<v Speaker 9>Yeah, I think my great question I think we need

0:34:58.719 --> 0:34:59.320
<v Speaker 9>to start.

0:34:59.120 --> 0:35:03.560
<v Speaker 11>With is the the hypothesis, the assumption that basically the

0:35:03.600 --> 0:35:05.839
<v Speaker 11>more products, so the more innovation exists in the world,

0:35:05.880 --> 0:35:08.479
<v Speaker 11>the better it is for everybody, for every patient, because

0:35:08.520 --> 0:35:10.239
<v Speaker 11>if you have a patient with cancer, the only thing

0:35:10.320 --> 0:35:12.040
<v Speaker 11>that you care about is to be cured if you

0:35:12.120 --> 0:35:16.920
<v Speaker 11>can be cured, right, and so innovation in China has

0:35:16.960 --> 0:35:19.560
<v Speaker 11>really ramped up very rapidly. In the last few years,

0:35:19.960 --> 0:35:23.200
<v Speaker 11>China has gone from making generics to ME TOOS to

0:35:23.280 --> 0:35:25.759
<v Speaker 11>metwo plus what we call MEET two plus in our industry,

0:35:26.440 --> 0:35:30.040
<v Speaker 11>to truly innovate these days, innovate in new technologies and

0:35:30.120 --> 0:35:35.640
<v Speaker 11>cell therapy in si RN, in many many technologies, and

0:35:35.719 --> 0:35:39.799
<v Speaker 11>so China has become the second engine of innovation, not

0:35:39.880 --> 0:35:42.920
<v Speaker 11>as big as the US. The US remains the leader

0:35:43.040 --> 0:35:45.720
<v Speaker 11>in that field, but China is ramping up very quickly.

0:35:46.200 --> 0:35:51.000
<v Speaker 1>Is the administration with some of it, some would say

0:35:51.120 --> 0:35:55.640
<v Speaker 1>questionable disruptive policies. There's been a lot of reporting about

0:35:56.080 --> 0:35:59.440
<v Speaker 1>scientists kind of leaving the United States and going elsewhere.

0:35:59.480 --> 0:36:01.200
<v Speaker 1>Are you seeing signs of that, whether it's to Europe,

0:36:01.200 --> 0:36:03.840
<v Speaker 1>to China to elsewhere because of not supporting you know,

0:36:03.880 --> 0:36:05.799
<v Speaker 1>academia and academic universities.

0:36:06.000 --> 0:36:07.680
<v Speaker 6>Some of that seems to be coming back.

0:36:07.800 --> 0:36:10.360
<v Speaker 11>But yeah, but you know, in these things, it's always

0:36:10.440 --> 0:36:14.200
<v Speaker 11>difficult to discern what is anecdotal versus what is systemic.

0:36:14.480 --> 0:36:18.480
<v Speaker 11>What we have seen in China is really a substantial

0:36:18.520 --> 0:36:21.200
<v Speaker 11>return of scientists from the US but also from the

0:36:21.280 --> 0:36:24.560
<v Speaker 11>UK and elsewhere, but not because of policy, simply because

0:36:24.960 --> 0:36:28.120
<v Speaker 11>they could see opportunities in China. There is money, there

0:36:28.160 --> 0:36:31.360
<v Speaker 11>is capital that can be invested. The Chinese are willing

0:36:31.400 --> 0:36:34.920
<v Speaker 11>to take risk. The government has facilitated the return of

0:36:35.040 --> 0:36:37.839
<v Speaker 11>the scientists and they've come back. But I can tell

0:36:37.840 --> 0:36:39.879
<v Speaker 11>you that a lot of the scientists we work with

0:36:40.000 --> 0:36:42.839
<v Speaker 11>and China in about the companies that we partner with,

0:36:43.200 --> 0:36:45.960
<v Speaker 11>many of these people are American American Chinese. I mean

0:36:45.960 --> 0:36:48.239
<v Speaker 11>they go back and forth, back and forth. There are

0:36:48.320 --> 0:36:52.480
<v Speaker 11>bridge between the US and China, but they've gone to

0:36:52.640 --> 0:36:56.920
<v Speaker 11>China because of the opportunities to create a company, be funded,

0:36:57.120 --> 0:37:01.240
<v Speaker 11>tech risk and hopefully be successful and buy and large.

0:37:01.280 --> 0:37:02.920
<v Speaker 9>They've been quite successful.

0:37:03.480 --> 0:37:07.480
<v Speaker 11>I want to say though, that the leadership remains with

0:37:07.560 --> 0:37:09.840
<v Speaker 11>the US and we need to maintain this, of course,

0:37:10.040 --> 0:37:11.560
<v Speaker 11>I mean the country needs to maintain this.

0:37:12.360 --> 0:37:16.080
<v Speaker 12>There's been some concern though that companies like yours, you know,

0:37:16.160 --> 0:37:19.480
<v Speaker 12>not necessarily astro but big pharmaceutical companies are going to

0:37:19.600 --> 0:37:22.440
<v Speaker 12>China for most of their biotech deals. Now, you know,

0:37:22.480 --> 0:37:25.440
<v Speaker 12>what would you say to that and what would US

0:37:25.480 --> 0:37:29.320
<v Speaker 12>biotech companies need to do to sort of attract investments

0:37:29.400 --> 0:37:30.040
<v Speaker 12>from from.

0:37:29.920 --> 0:37:31.920
<v Speaker 11>Well, I mean the first thing I would say is

0:37:31.920 --> 0:37:34.960
<v Speaker 11>that if you're a patient, you don't care. What you

0:37:35.000 --> 0:37:37.399
<v Speaker 11>want is a drug that will help you. Right, So

0:37:37.960 --> 0:37:42.960
<v Speaker 11>when we do a deal with a Chinese company, typically

0:37:43.040 --> 0:37:46.239
<v Speaker 11>it's because they've discovered a product and they need help

0:37:46.320 --> 0:37:50.080
<v Speaker 11>to globalize it. Because discovering something in a lab is

0:37:50.120 --> 0:37:52.279
<v Speaker 11>one thing. It doesn't require a huge amount of money.

0:37:52.320 --> 0:37:55.320
<v Speaker 11>It require us very talented people, but the capital requirement

0:37:55.800 --> 0:37:58.799
<v Speaker 11>is limited. When you want to develop globally, then you

0:37:58.840 --> 0:38:02.520
<v Speaker 11>need to scale. You need billions of dollars of investment

0:38:02.640 --> 0:38:05.000
<v Speaker 11>in phase two, phase three, and you do the scale.

0:38:05.040 --> 0:38:07.319
<v Speaker 11>You know the people, the expertise. So what we do

0:38:07.400 --> 0:38:09.879
<v Speaker 11>is we licen sindle product and then we develop them

0:38:09.920 --> 0:38:13.520
<v Speaker 11>globally and then bring them to patients, so they start

0:38:13.600 --> 0:38:17.719
<v Speaker 11>the innovation started in China but becomes a global medicine

0:38:17.760 --> 0:38:21.720
<v Speaker 11>for everybody, so it really benefits everybody around the world.

0:38:22.680 --> 0:38:24.760
<v Speaker 3>I want to go back to sort of a global

0:38:24.840 --> 0:38:28.879
<v Speaker 3>domestic question the idea of your listing and the Times

0:38:28.880 --> 0:38:31.160
<v Speaker 3>of London has said that astro Zeneka is looking to

0:38:31.160 --> 0:38:33.759
<v Speaker 3>move it's listening to the US. Are you going to

0:38:33.800 --> 0:38:34.000
<v Speaker 3>do that?

0:38:34.960 --> 0:38:37.560
<v Speaker 6>Well, you just shared with us.

0:38:38.000 --> 0:38:40.400
<v Speaker 11>Yeah, we don't comment on rumors, and you know, as

0:38:40.400 --> 0:38:42.600
<v Speaker 11>a company over the last ten years we've had so

0:38:42.680 --> 0:38:46.480
<v Speaker 11>many rumors. We don't comment on rumors. The only thing

0:38:46.520 --> 0:38:50.160
<v Speaker 11>I will say really is the United States is really

0:38:50.280 --> 0:38:53.680
<v Speaker 11>core to our company. By two thousand and thirty, we

0:38:54.040 --> 0:38:56.239
<v Speaker 11>expect fifty percent of our revenue to come out of

0:38:56.239 --> 0:38:59.080
<v Speaker 11>the United States. Today it's forty four to forty five percent,

0:39:00.160 --> 0:39:03.560
<v Speaker 11>tremendously in the US in the first half. The US

0:39:03.640 --> 0:39:06.200
<v Speaker 11>is the country that innovates I just told you, but

0:39:06.280 --> 0:39:11.440
<v Speaker 11>also the countries that uptake the innovation faster, patients benefit

0:39:11.560 --> 0:39:14.640
<v Speaker 11>much faster. So we want to invest here and we

0:39:14.680 --> 0:39:17.760
<v Speaker 11>want to grow here, and that is a very critical

0:39:17.840 --> 0:39:19.400
<v Speaker 11>part of our company globally.

0:39:20.280 --> 0:39:21.480
<v Speaker 6>Just curious in terms of growth.

0:39:21.520 --> 0:39:24.080
<v Speaker 1>You know, we've talked about earnings and your cancer drugs

0:39:24.080 --> 0:39:26.319
<v Speaker 1>are certainly important in terms of growth. Where do you

0:39:26.560 --> 0:39:29.640
<v Speaker 1>see kind of the most significant growth trends when it

0:39:29.680 --> 0:39:32.000
<v Speaker 1>comes to pharmaceuticals. We've spent the last what is it, Madison,

0:39:32.160 --> 0:39:34.520
<v Speaker 1>the last couple of years talking about the obesity drugs

0:39:34.520 --> 0:39:36.040
<v Speaker 1>and weight loss drugs.

0:39:35.680 --> 0:39:36.719
<v Speaker 6>But where do you see it?

0:39:36.760 --> 0:39:42.680
<v Speaker 1>We talk often about genes and genetic and immunotherapy.

0:39:43.200 --> 0:39:45.080
<v Speaker 6>Where do you see the real growth coming in the

0:39:45.080 --> 0:39:46.640
<v Speaker 6>next I don't know, five to ten years.

0:39:46.719 --> 0:39:48.600
<v Speaker 11>A great question, but it's almost all of the above.

0:39:48.640 --> 0:39:53.560
<v Speaker 11>I mean of course my check managing what I would

0:39:53.600 --> 0:39:57.440
<v Speaker 11>call sat rolo abdominal fat. Because everybody talks about obesity,

0:39:57.480 --> 0:39:59.600
<v Speaker 11>what really matters is how much fat do you have

0:39:59.640 --> 0:40:03.000
<v Speaker 11>in your domains that surrounds you, your liver, your punkreas,

0:40:03.080 --> 0:40:06.719
<v Speaker 11>your heart and creates inflammation and insulin resistance and all

0:40:06.760 --> 0:40:07.960
<v Speaker 11>the consequences.

0:40:08.000 --> 0:40:10.440
<v Speaker 9>We can think about hypertension and others.

0:40:10.960 --> 0:40:14.120
<v Speaker 11>So this is really a big epitieomic globally. We need

0:40:14.160 --> 0:40:17.719
<v Speaker 11>to address that and that's what companies like lilian Over

0:40:17.840 --> 0:40:20.279
<v Speaker 11>are doing today and we are we want to do

0:40:20.320 --> 0:40:24.719
<v Speaker 11>this with all agents. But then you know, we have

0:40:24.800 --> 0:40:30.879
<v Speaker 11>development in antibody drug conjugates, we have developments in by

0:40:30.880 --> 0:40:36.080
<v Speaker 11>specific antibodies for cancer. One of the most exciting new

0:40:36.120 --> 0:40:41.960
<v Speaker 11>technology is cell therapy because cells upy will apply to ematology, cancers,

0:40:42.000 --> 0:40:46.000
<v Speaker 11>but also potentially sold tumors and immune diseases. We have

0:40:46.120 --> 0:40:50.400
<v Speaker 11>no cases, small numbers early days, but small cases that

0:40:50.560 --> 0:40:55.279
<v Speaker 11>young women who suffer from lupus, which is a terrible.

0:40:54.960 --> 0:40:58.360
<v Speaker 6>Disease can be a family member who has can be cured.

0:40:58.800 --> 0:41:02.840
<v Speaker 11>I mean these patient stay, their life is about taking drugs.

0:41:02.880 --> 0:41:07.200
<v Speaker 11>Theories with all the consequences, you can imagine the organs

0:41:07.200 --> 0:41:10.000
<v Speaker 11>are destroyed over time by the disease. They can be cured.

0:41:10.400 --> 0:41:12.760
<v Speaker 11>You have people with my LOOMA that can be cured.

0:41:13.680 --> 0:41:16.520
<v Speaker 11>And so as we progress this technology and make it

0:41:16.640 --> 0:41:21.120
<v Speaker 11>more usable, is more easily usable, and more affordable, it

0:41:21.160 --> 0:41:27.920
<v Speaker 11>can really transform many fields of medicine, pharmacology to imnology.

0:41:28.920 --> 0:41:31.880
<v Speaker 12>I know you've had an amazing tenure at Astra and

0:41:32.320 --> 0:41:34.600
<v Speaker 12>there's sort of an obsession in the UK with your

0:41:34.640 --> 0:41:37.480
<v Speaker 12>succession plans and what comes next. You know, not to

0:41:37.480 --> 0:41:38.480
<v Speaker 12>say that you're leaving anything.

0:41:38.520 --> 0:41:39.080
<v Speaker 6>We don't want you to.

0:41:39.400 --> 0:41:40.120
<v Speaker 13>We don't want you to go.

0:41:40.760 --> 0:41:44.600
<v Speaker 12>What do you want to accomplish before you and your

0:41:44.600 --> 0:41:45.640
<v Speaker 12>tenure at Astra.

0:41:46.800 --> 0:41:49.239
<v Speaker 11>Well, one of the things is that I wanted to

0:41:49.280 --> 0:41:50.719
<v Speaker 11>do is have a great team, and I have a

0:41:50.719 --> 0:41:51.160
<v Speaker 11>great team.

0:41:51.320 --> 0:41:51.719
<v Speaker 9>That's it.

0:41:51.760 --> 0:41:55.080
<v Speaker 11>I have really a fantastic team. And that's why what

0:41:55.239 --> 0:41:58.200
<v Speaker 11>you should worry about my succession. We have a great

0:41:58.239 --> 0:42:01.080
<v Speaker 11>team and people who can succeed me. So that's I

0:42:01.120 --> 0:42:04.520
<v Speaker 11>think one thing, and we need to we constantly try

0:42:04.560 --> 0:42:07.680
<v Speaker 11>to improve the team, not only my direct reports, but

0:42:07.719 --> 0:42:09.759
<v Speaker 11>they are direct reports and the company as a whole.

0:42:10.560 --> 0:42:11.640
<v Speaker 9>Two is the.

0:42:11.600 --> 0:42:17.880
<v Speaker 11>Second piece is almost unachievable because science is never going

0:42:17.960 --> 0:42:22.120
<v Speaker 11>to be stopping. And the more I progress, the get

0:42:22.239 --> 0:42:25.239
<v Speaker 11>the older it gets, the more science get exciting, and

0:42:25.280 --> 0:42:28.359
<v Speaker 11>the more excited you. I mean, there's no better time

0:42:28.400 --> 0:42:31.480
<v Speaker 11>to be in our industry than there's so much innovation,

0:42:32.080 --> 0:42:34.960
<v Speaker 11>so much hope to cure diseases that can't be cured today.

0:42:35.480 --> 0:42:39.760
<v Speaker 11>And the last thing was really to finish our site

0:42:39.800 --> 0:42:43.759
<v Speaker 11>in Cambridge, because I keep joking internality I want to

0:42:43.800 --> 0:42:46.040
<v Speaker 11>have the two Cambridges, one in Cambridge, you care when

0:42:46.080 --> 0:42:47.000
<v Speaker 11>in Cambridge and Boston.

0:42:47.880 --> 0:42:48.719
<v Speaker 9>But that's for the joke.

0:42:48.800 --> 0:42:52.239
<v Speaker 11>But the most exciting really is the science and the

0:42:52.280 --> 0:42:56.160
<v Speaker 11>pursuit of new technologies and new products that will make

0:42:56.200 --> 0:42:59.799
<v Speaker 11>a difference and change the future of medicine. So that's

0:43:00.120 --> 0:43:02.600
<v Speaker 11>how those things I want to add resk. But I

0:43:02.640 --> 0:43:04.960
<v Speaker 11>have to accept that some poe biotoje is going to

0:43:05.000 --> 0:43:05.640
<v Speaker 11>catch up with me.

0:43:05.880 --> 0:43:06.640
<v Speaker 6>And unless you.

0:43:06.600 --> 0:43:09.160
<v Speaker 1>Create a pill that keeps us going, I'm kind of

0:43:09.200 --> 0:43:12.480
<v Speaker 1>even my fingers crosses exactly, gp Ones right, we think

0:43:12.520 --> 0:43:15.600
<v Speaker 1>it's going to be curel Pascal, we really enjoyed this.

0:43:15.680 --> 0:43:17.920
<v Speaker 1>Thank you so much for having for all the time.

0:43:17.960 --> 0:43:20.759
<v Speaker 1>Pascal Sorio he is Astrozenicas chief executive officer, and of

0:43:20.760 --> 0:43:24.120
<v Speaker 1>course Bloomberg us his own health reporter Madison Mueller, always

0:43:24.120 --> 0:43:31.120
<v Speaker 1>a must read on the Bloomberg and at Bloomberg dot Com.

0:43:31.320 --> 0:43:35.319
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

0:43:35.400 --> 0:43:38.840
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:43:38.880 --> 0:43:42.359
<v Speaker 2>on Applecarplay and the Android Auto with the Bloomberg Business app,

0:43:42.600 --> 0:43:44.600
<v Speaker 2>or watch us live on YouTube.

0:43:44.960 --> 0:43:46.919
<v Speaker 1>Plendy ahead in our second hour of the weekend edition

0:43:46.960 --> 0:43:49.960
<v Speaker 1>of Bloomberg Business Week, including the long and winding trip

0:43:50.239 --> 0:43:52.720
<v Speaker 1>to FDA approval for one psychedelic treatment.

0:43:52.960 --> 0:43:55.600
<v Speaker 6>That trip, by the way, it's continuing.

0:43:55.320 --> 0:43:59.160
<v Speaker 3>Plus, while the organization behind Burning Man's Desert Utopia is

0:43:59.200 --> 0:44:01.960
<v Speaker 3>now facing an existential financial.

0:44:01.480 --> 0:44:05.040
<v Speaker 1>Crisis, and jewelry from the Roaring twenties making a comeback,

0:44:05.239 --> 0:44:07.799
<v Speaker 1>giving the new Tesla diner a test drive, and the

0:44:07.840 --> 0:44:10.320
<v Speaker 1>surprising complexity of Hey Keyfob.

0:44:10.920 --> 0:44:13.200
<v Speaker 6>It's all in Bloomberg Pursuits Later on this hour.

0:44:13.480 --> 0:44:16.480
<v Speaker 3>First Up This Hour. A few weeks ago, Robert F.

0:44:16.560 --> 0:44:20.040
<v Speaker 3>Kennedy Junior, the Secretary of Health and Human Services, said

0:44:20.040 --> 0:44:23.440
<v Speaker 3>he could envision approval for psychedelic drugs is treatment for

0:44:23.560 --> 0:44:27.279
<v Speaker 3>depression and trauma. If clinical studies have been conducted, it

0:44:27.320 --> 0:44:30.280
<v Speaker 3>comes as psychedelics are making inroads in deep red states

0:44:30.320 --> 0:44:33.480
<v Speaker 3>like Texas, where former Trump Cabinet secretary and ex Governor

0:44:33.560 --> 0:44:36.440
<v Speaker 3>Rick Perry has thrown his full support behind the effort.

0:44:36.760 --> 0:44:38.640
<v Speaker 3>That may have caught the attention of the team over it.

0:44:38.719 --> 0:44:42.680
<v Speaker 3>They publicly traded small cap psychedelic company Compass Pathways. They're

0:44:42.719 --> 0:44:46.640
<v Speaker 3>in pursuit of FDA approval. Kabirnth is the company's CEO.

0:44:47.000 --> 0:44:50.640
<v Speaker 8>A Compass Pathways where a company in the final stages

0:44:50.800 --> 0:44:55.760
<v Speaker 8>of developing synthetic psilocybin as a potential treatment for treatment

0:44:55.800 --> 0:45:00.000
<v Speaker 8>resistant depression or what we call patients living with persistent depression.

0:45:01.040 --> 0:45:04.520
<v Speaker 8>That's a big problem affecting some three million people in

0:45:04.560 --> 0:45:08.960
<v Speaker 8>the US, and it's debilitating. Many of them are unable

0:45:09.000 --> 0:45:11.880
<v Speaker 8>to work. The majority will have had some sort of

0:45:11.920 --> 0:45:16.239
<v Speaker 8>suicidal thoughts in the course of their depressive illness. So

0:45:16.320 --> 0:45:19.719
<v Speaker 8>we're a leading psychedelic company and potentially the closest to

0:45:19.800 --> 0:45:20.760
<v Speaker 8>regulatory approval.

0:45:20.840 --> 0:45:23.120
<v Speaker 3>You've used the word potential twice. You said it's a

0:45:23.160 --> 0:45:26.240
<v Speaker 3>potential treatment, and you said potentially you're a leading company

0:45:26.280 --> 0:45:29.880
<v Speaker 3>there when it comes to FDA approval. Is it unproven?

0:45:30.840 --> 0:45:34.640
<v Speaker 8>We have generated robust evidence now from two studies. The

0:45:34.680 --> 0:45:36.839
<v Speaker 8>first was published a couple of years ago, and then

0:45:37.080 --> 0:45:40.160
<v Speaker 8>just last month we released more data from the first

0:45:40.239 --> 0:45:42.960
<v Speaker 8>of our final stage studies. So what can I tell

0:45:42.960 --> 0:45:46.560
<v Speaker 8>you about that? First safety this we didn't see any

0:45:46.680 --> 0:45:50.440
<v Speaker 8>unexpected safety signals in this treatment of patients living with

0:45:50.520 --> 0:45:55.440
<v Speaker 8>persistent depression. And secondly, after just a single treatment, after

0:45:55.600 --> 0:46:00.080
<v Speaker 8>six weeks, we saw a significant reduction in depressive symptom.

0:46:00.760 --> 0:46:04.120
<v Speaker 8>And just to emphasize that, because you'll be aware of

0:46:04.160 --> 0:46:07.279
<v Speaker 8>the kind of the typical paradigm of antidepressants something you

0:46:07.400 --> 0:46:11.200
<v Speaker 8>take daily, this was a single treatment and with the

0:46:11.200 --> 0:46:15.520
<v Speaker 8>effect measured after six weeks. Now we have already are two

0:46:15.600 --> 0:46:18.799
<v Speaker 8>for two in terms of these trials clinical trials that

0:46:18.840 --> 0:46:23.120
<v Speaker 8>we've conducted, but we're continuing to see more evidence generated

0:46:23.239 --> 0:46:26.760
<v Speaker 8>first in one of these late stage trials, and second

0:46:26.760 --> 0:46:29.560
<v Speaker 8>we have another study ongoing where we're also looking at

0:46:29.600 --> 0:46:31.640
<v Speaker 8>the impact potentially of another treatment.

0:46:31.920 --> 0:46:34.239
<v Speaker 1>We should point out that about a month ago, in

0:46:34.320 --> 0:46:37.760
<v Speaker 1>that study came out, the stock your shares tumbled almost

0:46:37.800 --> 0:46:42.000
<v Speaker 1>fifty percent, hitting a record low. What I guess I

0:46:42.040 --> 0:46:45.120
<v Speaker 1>want to understand, so it was below what Wall Street expected.

0:46:45.440 --> 0:46:48.040
<v Speaker 1>It did meet your goal from what I understand your

0:46:48.080 --> 0:46:52.120
<v Speaker 1>company goal, but Wall Street was very disappointed. Tell us

0:46:52.160 --> 0:46:57.239
<v Speaker 1>how this works. How does one psilocybin treatment kind of

0:46:57.320 --> 0:47:00.000
<v Speaker 1>cure depression, persistent depression.

0:47:01.160 --> 0:47:04.880
<v Speaker 8>Psilocymin you can think of as if you like a key,

0:47:05.520 --> 0:47:08.360
<v Speaker 8>a key that unlocks a door or a set of

0:47:08.440 --> 0:47:12.280
<v Speaker 8>doors in the brain, and while those doors are open,

0:47:12.920 --> 0:47:15.879
<v Speaker 8>that enables the patient to work through some of their

0:47:16.040 --> 0:47:20.360
<v Speaker 8>fixed negative thinking and potentially have relief from their depressive symptoms.

0:47:20.920 --> 0:47:24.239
<v Speaker 8>To do that, there is a profound subjective experience, So

0:47:24.320 --> 0:47:29.000
<v Speaker 8>there is a psychedelic experience that lasts six to eight hours,

0:47:29.440 --> 0:47:31.680
<v Speaker 8>and as I say, during the course of that, the

0:47:31.800 --> 0:47:34.200
<v Speaker 8>drug is working in such a way that it unlocks

0:47:34.239 --> 0:47:38.239
<v Speaker 8>these doors and allows the person, the patient to engage

0:47:38.520 --> 0:47:41.439
<v Speaker 8>with some of those negative thoughts and potentially, as I say,

0:47:41.760 --> 0:47:45.080
<v Speaker 8>get relief from those depressive symptoms. The fact is, as

0:47:45.120 --> 0:47:48.600
<v Speaker 8>I say, we've seen, and what's amazing, that one single

0:47:48.640 --> 0:47:51.879
<v Speaker 8>treatment can show sustained effects at least through to six

0:47:51.920 --> 0:47:56.520
<v Speaker 8>weeks and potentially longer. In our earlier trial, our earlier

0:47:56.560 --> 0:47:59.080
<v Speaker 8>clinical study that we did, we saw that for many

0:47:59.120 --> 0:48:01.360
<v Speaker 8>patients that were suspen out to twelve weeks.

0:48:01.600 --> 0:48:03.960
<v Speaker 6>What's many? How many? Forgive me Tim, like, I'm just

0:48:04.040 --> 0:48:04.759
<v Speaker 6>curious how many.

0:48:04.880 --> 0:48:06.600
<v Speaker 8>So that was a study of around two hundred and

0:48:06.680 --> 0:48:10.319
<v Speaker 8>thirty patients of whom a significant number were on what

0:48:10.400 --> 0:48:13.920
<v Speaker 8>we call the active dose of the medication, and what

0:48:13.960 --> 0:48:17.120
<v Speaker 8>we saw was a quarter of them had from that

0:48:17.239 --> 0:48:20.560
<v Speaker 8>single dose they were actually sustained freer depression out to

0:48:20.600 --> 0:48:23.239
<v Speaker 8>twelve weeks. And in this population of people who have

0:48:23.360 --> 0:48:27.080
<v Speaker 8>typically tried multiple treatments and for whom very little is

0:48:27.080 --> 0:48:29.680
<v Speaker 8>any longer working, that was a remarkable response.

0:48:30.239 --> 0:48:32.480
<v Speaker 3>When patients do take this single dose, what is the

0:48:32.600 --> 0:48:35.360
<v Speaker 3>environment that they're in during that six to eight hours,

0:48:35.400 --> 0:48:38.040
<v Speaker 3>and are they guided in some way by a therapists

0:48:38.080 --> 0:48:38.839
<v Speaker 3>of sorts.

0:48:39.239 --> 0:48:43.759
<v Speaker 8>It's a physically it's a calm, comfortable setting. They have

0:48:44.000 --> 0:48:47.239
<v Speaker 8>the option of ice shades, there's music playing, and there

0:48:47.280 --> 0:48:51.960
<v Speaker 8>are appropriate safety safeguards in place. Psilocybin is a very

0:48:52.160 --> 0:48:56.200
<v Speaker 8>inner directed mechanism, so what actually happens is the patient

0:48:56.239 --> 0:49:00.320
<v Speaker 8>has this profound influence, but where there is some in

0:49:00.360 --> 0:49:04.200
<v Speaker 8>the room, it's largely silent. There is not directed therapy

0:49:04.280 --> 0:49:05.480
<v Speaker 8>in the course of that intervention.

0:49:05.840 --> 0:49:09.000
<v Speaker 3>How do you run an effective clinical trial for a

0:49:09.080 --> 0:49:12.720
<v Speaker 3>drug that the experience is such that the person knows

0:49:13.280 --> 0:49:16.600
<v Speaker 3>they've taken this drug rather than a placebo. Somebody who

0:49:16.640 --> 0:49:19.520
<v Speaker 3>takes a placebo is not going to have a psychedelic

0:49:19.600 --> 0:49:20.920
<v Speaker 3>reaction to the placebo.

0:49:21.840 --> 0:49:24.920
<v Speaker 8>At Compass, we thought about this before we even started

0:49:25.040 --> 0:49:27.960
<v Speaker 8>our studies. So our prior big study, the one I

0:49:28.000 --> 0:49:31.200
<v Speaker 8>reference with two hundred and thirty patients, we designed that

0:49:31.320 --> 0:49:33.799
<v Speaker 8>in such a way that there was the choice of

0:49:34.040 --> 0:49:38.680
<v Speaker 8>three different doses of psilocybin. One was a low dose,

0:49:39.520 --> 0:49:42.480
<v Speaker 8>a second was an intermediate dose. And in patients who've

0:49:42.480 --> 0:49:46.480
<v Speaker 8>never had this experience before, that's truly confounding in terms

0:49:46.480 --> 0:49:48.880
<v Speaker 8>of they cannot tell whether they got a medium dose

0:49:49.080 --> 0:49:52.520
<v Speaker 8>or a high dose of that drug. This is important because,

0:49:52.560 --> 0:49:54.560
<v Speaker 8>as you say, otherwise, it will be very obvious. But

0:49:54.680 --> 0:49:58.120
<v Speaker 8>that design was very effective for that earlier stage study

0:49:58.200 --> 0:50:00.719
<v Speaker 8>we did, and we've replicated that in one of our

0:50:00.800 --> 0:50:01.680
<v Speaker 8>late stage studies.

0:50:01.719 --> 0:50:04.600
<v Speaker 1>We're talking with Kabir Andathi's chief executive officer of Compass

0:50:04.640 --> 0:50:07.719
<v Speaker 1>Pathways here in studio. You keep saying synthetic. What's the

0:50:07.760 --> 0:50:09.960
<v Speaker 1>difference between synthetic and naturally occurring?

0:50:10.480 --> 0:50:14.320
<v Speaker 8>So we are manufacturing a pill to the highest standards

0:50:14.320 --> 0:50:17.440
<v Speaker 8>of purity, no contamination. We know exactly what is in

0:50:17.480 --> 0:50:20.640
<v Speaker 8>the pill. This is a manufactured pill that we are

0:50:20.680 --> 0:50:21.560
<v Speaker 8>treating with, so that.

0:50:21.520 --> 0:50:23.480
<v Speaker 1>You know exactly in terms of dosage. Is that what

0:50:23.480 --> 0:50:26.439
<v Speaker 1>I'm saying, So if naturally occurring is different.

0:50:26.680 --> 0:50:30.120
<v Speaker 8>Potentially it is naturally occurring whereas well as is synthetic.

0:50:30.200 --> 0:50:32.200
<v Speaker 8>So we know exactly what's in it, we know the

0:50:32.280 --> 0:50:32.919
<v Speaker 8>exact pill.

0:50:33.200 --> 0:50:34.000
<v Speaker 6>What will it cost?

0:50:34.960 --> 0:50:37.239
<v Speaker 8>It's primiture to speculate on that at the moment we're

0:50:37.320 --> 0:50:40.400
<v Speaker 8>still conducting these final stages of our studies.

0:50:40.760 --> 0:50:42.319
<v Speaker 6>But expensive and.

0:50:42.280 --> 0:50:44.120
<v Speaker 1>Would it be something I mean, if you get f

0:50:44.160 --> 0:50:47.120
<v Speaker 1>to a approval, is it safe to make the assumption

0:50:47.160 --> 0:50:48.000
<v Speaker 1>that it would be covered.

0:50:49.680 --> 0:50:53.600
<v Speaker 8>The whole premise for founding Compass Pathways was to enable

0:50:53.640 --> 0:50:56.560
<v Speaker 8>that form of broad access. So the reason that the

0:50:56.600 --> 0:51:00.920
<v Speaker 8>company has gone through doing these rigorous, robustical studies so

0:51:01.000 --> 0:51:03.360
<v Speaker 8>that we is exactly so that we can discuss that

0:51:03.360 --> 0:51:07.600
<v Speaker 8>with the FDA potential for regulatory approval, and then if

0:51:07.640 --> 0:51:10.680
<v Speaker 8>we're fortunate enough to get there, the chance to negotiate

0:51:10.719 --> 0:51:15.120
<v Speaker 8>with both commercial insurers and government pairs. Let's remind ourselves

0:51:15.160 --> 0:51:18.279
<v Speaker 8>that these three million people that I referred to, they

0:51:18.320 --> 0:51:22.400
<v Speaker 8>are relying on insurers, commercial insurers and government pairs to

0:51:22.480 --> 0:51:25.239
<v Speaker 8>actually cover their drugs. I believe we will be able

0:51:25.239 --> 0:51:28.839
<v Speaker 8>to demonstrate significant value given how different this is from

0:51:28.880 --> 0:51:31.040
<v Speaker 8>other treatments available today in depression.

0:51:31.440 --> 0:51:34.600
<v Speaker 3>Kaviir Carol mentioned that the Associated Press reported earlier this

0:51:34.719 --> 0:51:38.359
<v Speaker 3>month that RFK Junior recently talked to members of Congress

0:51:38.400 --> 0:51:42.560
<v Speaker 3>about psychedelic therapy for depression and trauma. Apart from that,

0:51:42.760 --> 0:51:45.520
<v Speaker 3>have you seen any real signs of support for the

0:51:45.560 --> 0:51:49.000
<v Speaker 3>administration for this new class of drugs or type of

0:51:49.040 --> 0:51:49.760
<v Speaker 3>type of treatment.

0:51:51.160 --> 0:51:54.480
<v Speaker 8>We have had support from the FDA throughout our development process.

0:51:54.520 --> 0:51:56.080
<v Speaker 8>We have breakthrough designation.

0:51:56.480 --> 0:51:57.360
<v Speaker 9>Before Robert F.

0:51:57.440 --> 0:51:59.720
<v Speaker 3>Kennedy Junior took over as HJ, we have had.

0:51:59.600 --> 0:52:03.320
<v Speaker 8>A mot cbated and engaged agency. We're excited to see

0:52:03.560 --> 0:52:08.840
<v Speaker 8>the voices from HHS from Veterans Affairs today suggesting that

0:52:08.880 --> 0:52:11.680
<v Speaker 8>they also see the potential for this class, and we're

0:52:11.800 --> 0:52:14.600
<v Speaker 8>very happy to work to see how we could potentially

0:52:14.760 --> 0:52:17.719
<v Speaker 8>accelerate access while at the same time ensuring that we

0:52:17.760 --> 0:52:21.319
<v Speaker 8>continue to generate really good, robust, good evidence that these

0:52:21.360 --> 0:52:22.320
<v Speaker 8>are safe and effective.

0:52:22.960 --> 0:52:25.799
<v Speaker 1>Talk to us about timeline, though, is it I feel

0:52:25.800 --> 0:52:27.719
<v Speaker 1>like we've been I know Blimberg has been reporting on

0:52:28.239 --> 0:52:31.080
<v Speaker 1>this class of drugs and treatments, and I think we've

0:52:31.080 --> 0:52:34.000
<v Speaker 1>all seen pieces that's right for a long time that

0:52:34.160 --> 0:52:36.600
<v Speaker 1>for people who or other treatments don't seem to be

0:52:36.640 --> 0:52:39.400
<v Speaker 1>making a change for them.

0:52:40.000 --> 0:52:41.319
<v Speaker 6>So I don't know.

0:52:41.600 --> 0:52:44.120
<v Speaker 1>Is it another few years, is it the end of

0:52:44.160 --> 0:52:45.839
<v Speaker 1>this year, is it the end of next year?

0:52:46.719 --> 0:52:48.399
<v Speaker 6>And is it that the.

0:52:48.600 --> 0:52:52.400
<v Speaker 1>Trump administration could somehow shuttle this through much more quickly.

0:52:53.719 --> 0:52:56.719
<v Speaker 8>I think there are clearly people in the current administration who,

0:52:56.719 --> 0:52:59.200
<v Speaker 8>as I say, see the potential of this. Well, we

0:52:59.239 --> 0:53:00.879
<v Speaker 8>want to make sure what we do this right as well,

0:53:01.000 --> 0:53:02.319
<v Speaker 8>so we want to make sure we do that in

0:53:02.320 --> 0:53:04.040
<v Speaker 8>the right way, with the right rigor and so on.

0:53:05.040 --> 0:53:09.120
<v Speaker 8>We are conducting, as I say, the final stages of studies.

0:53:09.120 --> 0:53:11.520
<v Speaker 8>We have two ongoing of which the second will wrap

0:53:11.600 --> 0:53:14.440
<v Speaker 8>up in the second half of next year. The data

0:53:14.480 --> 0:53:17.040
<v Speaker 8>we released last month, though it hasn't yet been reviewed

0:53:17.040 --> 0:53:19.120
<v Speaker 8>by the FDA, we have a meeting planned with them

0:53:19.120 --> 0:53:21.960
<v Speaker 8>where we'll discuss with them and we'll discuss the potential

0:53:22.000 --> 0:53:24.800
<v Speaker 8>for any acceleration of a filing and a regulatory process.

0:53:25.040 --> 0:53:28.319
<v Speaker 1>Do you also think about other usages, whether it's PTSD

0:53:29.520 --> 0:53:32.680
<v Speaker 1>and other applications, And I'm just curious where what you

0:53:32.760 --> 0:53:34.600
<v Speaker 1>might be exploring in that world.

0:53:34.760 --> 0:53:39.400
<v Speaker 8>Our next priority, beyond persistent depression is indeed PTSD. That

0:53:39.560 --> 0:53:42.719
<v Speaker 8>is something with very high prevalence, some thirteen million in

0:53:42.760 --> 0:53:45.399
<v Speaker 8>the US, for which there are only two very old

0:53:45.440 --> 0:53:48.920
<v Speaker 8>drugs approved, and unfortunately recently there have been two advisory

0:53:48.920 --> 0:53:52.879
<v Speaker 8>committees recommending against new drugs in that space. So yes,

0:53:52.960 --> 0:53:55.759
<v Speaker 8>we see PTSD as a key area. We generated some

0:53:55.960 --> 0:53:58.600
<v Speaker 8>data last year and we will be announcing the design

0:53:58.680 --> 0:54:00.920
<v Speaker 8>of another late stage trial for PTSD.

0:54:01.040 --> 0:54:04.239
<v Speaker 3>I know the US FDA is the gold standard for

0:54:04.320 --> 0:54:07.360
<v Speaker 3>going through the regulatory process to be viewed by the

0:54:07.400 --> 0:54:12.239
<v Speaker 3>world as a credible treatment for something, but these days

0:54:12.320 --> 0:54:16.480
<v Speaker 3>is it worth going after approval in another country to

0:54:16.520 --> 0:54:18.759
<v Speaker 3>try to do this on a smaller scale to prove

0:54:18.840 --> 0:54:20.359
<v Speaker 3>that yes, it indeed works.

0:54:21.120 --> 0:54:24.360
<v Speaker 8>We will be exploring approval in a range of countries.

0:54:24.560 --> 0:54:30.080
<v Speaker 8>So our studies have been international, US, Canada, Europe as well.

0:54:30.560 --> 0:54:33.080
<v Speaker 8>We have taken advice over the years from the European

0:54:33.120 --> 0:54:36.520
<v Speaker 8>regulatory authorities. We're a UK based company as well, so

0:54:36.560 --> 0:54:39.239
<v Speaker 8>we've been speaking to the MHRA, the regulatory authority in

0:54:39.239 --> 0:54:42.160
<v Speaker 8>the UK. So yes, this is a problem, sadly for

0:54:42.239 --> 0:54:44.800
<v Speaker 8>patients across the world, and we would look to exploit

0:54:44.840 --> 0:54:45.440
<v Speaker 8>it where we can.

0:54:45.680 --> 0:54:47.960
<v Speaker 1>I'm just curious in terms of big Farmer, have you

0:54:48.000 --> 0:54:53.120
<v Speaker 1>had any preliminary discussions with larger, larger pharmaceutical partners interested

0:54:53.160 --> 0:54:56.960
<v Speaker 1>in commercialization, co commercialization or distribution.

0:54:57.520 --> 0:54:59.560
<v Speaker 8>What I know is the Big Farmer is tracking this

0:54:59.640 --> 0:55:02.319
<v Speaker 8>space closely. And what's been great is to see the

0:55:02.360 --> 0:55:05.560
<v Speaker 8>re entry of some big fama back into psychiatry over

0:55:05.600 --> 0:55:08.520
<v Speaker 8>the last couple of years. So I know they watched

0:55:08.560 --> 0:55:11.759
<v Speaker 8>this space. But we at Compass are determined that we

0:55:11.840 --> 0:55:14.800
<v Speaker 8>can do this ourselves and are excited about the opportunity

0:55:14.880 --> 0:55:17.360
<v Speaker 8>to bring this potential new treatment to patients who so

0:55:17.400 --> 0:55:17.959
<v Speaker 8>clearly needed.

0:55:18.080 --> 0:55:20.560
<v Speaker 1>So no strategic alignment that you would consider. You plan

0:55:20.640 --> 0:55:21.640
<v Speaker 1>on doing this alone.

0:55:21.719 --> 0:55:22.440
<v Speaker 8>That's our planted.

0:55:22.680 --> 0:55:24.560
<v Speaker 6>Okay, great staff, stay in touch.

0:55:24.880 --> 0:55:25.120
<v Speaker 13>Thank you.

0:55:25.160 --> 0:55:27.680
<v Speaker 1>Let us sta how things are going. I really appreciate it.

0:55:28.160 --> 0:55:30.800
<v Speaker 1>Kiber be well. Kabir Kath, He's chief executive officer of

0:55:30.880 --> 0:55:33.759
<v Speaker 1>Compass Pathways, joining us right here in studio.

0:55:35.400 --> 0:55:39.279
<v Speaker 2>This is the Bloomberg Business Week Daily Podcast. Listen live

0:55:39.360 --> 0:55:42.239
<v Speaker 2>each weekday starting at two pm Eastern on Apple car

0:55:42.360 --> 0:55:45.160
<v Speaker 2>Play and the Android Auto with the Bloomberg Business app.

0:55:45.239 --> 0:55:48.040
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0:55:48.040 --> 0:55:52.120
<v Speaker 2>flagship New York station, just Say Alexa played Bloomberg eleven.

0:55:51.880 --> 0:55:55.839
<v Speaker 3>Thirty, Well, Larry Page, Sergei Brin, Eric Schmid are all

0:55:55.920 --> 0:55:59.960
<v Speaker 3>so called burners. Mark Zuckerberg is gone, as has Elon Musk.

0:56:00.680 --> 0:56:04.080
<v Speaker 3>Sam Altman called the festival quote the most beautiful man

0:56:04.160 --> 0:56:06.799
<v Speaker 3>made thing I've ever seen, and suggested it was what

0:56:06.920 --> 0:56:13.440
<v Speaker 3>a post agi world can look like, like poetry. It's something.

0:56:13.440 --> 0:56:15.040
<v Speaker 3>Apparently there are a lot of drugs there too. I'm

0:56:15.120 --> 0:56:17.319
<v Speaker 3>just I'm just gonna say that we're talking about Burning Man,

0:56:17.440 --> 0:56:19.480
<v Speaker 3>and as I've been told by friends who've gone, I

0:56:19.480 --> 0:56:21.480
<v Speaker 3>wouldn't get it and I wouldn't like it.

0:56:22.040 --> 0:56:23.400
<v Speaker 6>Friends you've gone, you've never gone.

0:56:23.440 --> 0:56:24.320
<v Speaker 3>Oh I've never gone.

0:56:24.320 --> 0:56:24.400
<v Speaker 7>No.

0:56:25.200 --> 0:56:26.120
<v Speaker 6>Did your friends like it?

0:56:26.520 --> 0:56:26.800
<v Speaker 13>Yeah?

0:56:26.800 --> 0:56:29.680
<v Speaker 3>But he was like, he's like yeah, He's like, you

0:56:30.200 --> 0:56:31.719
<v Speaker 3>would hate it. You got to let go, and I

0:56:31.760 --> 0:56:32.600
<v Speaker 3>don't let go of anything.

0:56:32.600 --> 0:56:33.120
<v Speaker 6>You didn't like it.

0:56:33.160 --> 0:56:35.080
<v Speaker 3>Anyway, that's enough about me. I want to talk to

0:56:35.120 --> 0:56:38.200
<v Speaker 3>Ted Alcore and he's a Bloomberg BusinessWeek freelance contributor. He

0:56:38.200 --> 0:56:42.279
<v Speaker 3>wrote about the magazine for the magazine about Burning Man's crisis.

0:56:42.520 --> 0:56:46.080
<v Speaker 3>He joins us from New Mexico, it's an existential financial

0:56:46.120 --> 0:56:48.560
<v Speaker 3>crisis that the organization is facing. Ted, we're going to

0:56:48.600 --> 0:56:51.280
<v Speaker 3>talk about that in a minute, But have you first

0:56:51.560 --> 0:56:54.279
<v Speaker 3>have you been to the Burning Man event in the

0:56:54.320 --> 0:56:55.160
<v Speaker 3>Black Rock Desert?

0:56:56.640 --> 0:56:57.000
<v Speaker 10>I have.

0:56:57.280 --> 0:56:59.719
<v Speaker 13>I feel like you know, I'm a big believer in

0:57:00.640 --> 0:57:03.000
<v Speaker 13>getting a taste of what you're going to report on

0:57:03.080 --> 0:57:05.080
<v Speaker 13>knowing a little bit of what you're writing about.

0:57:05.120 --> 0:57:07.839
<v Speaker 3>Okay, so describe it. Just describe it for people who

0:57:07.880 --> 0:57:08.319
<v Speaker 3>haven't been.

0:57:08.840 --> 0:57:11.000
<v Speaker 13>It's hard to put into words, admittedly, and I don't

0:57:11.000 --> 0:57:14.840
<v Speaker 13>mean that as hyperbole. It's a very strange, unusual environment

0:57:15.520 --> 0:57:20.240
<v Speaker 13>visually and socially. You know, eighty thousand people in the

0:57:20.280 --> 0:57:23.720
<v Speaker 13>desert with a lot of lights, a lot of noise.

0:57:25.000 --> 0:57:28.520
<v Speaker 13>I've heard rumored there are some substances there and certainly

0:57:28.640 --> 0:57:32.840
<v Speaker 13>very few rules, but you know, interesting things occur out

0:57:32.840 --> 0:57:36.480
<v Speaker 13>of it, and you know, obnoxious things too, but it's

0:57:36.480 --> 0:57:38.920
<v Speaker 13>certainly something that keeps people going back here after year.

0:57:39.200 --> 0:57:42.919
<v Speaker 3>One of the very few rules, though, is that there's

0:57:43.000 --> 0:57:45.880
<v Speaker 3>no money exchanged at the event, apart from the ticket

0:57:45.880 --> 0:57:47.920
<v Speaker 3>that you buy ahead of time. And that is the

0:57:48.360 --> 0:57:51.600
<v Speaker 3>core fundamental tension that you write about. It has to

0:57:51.640 --> 0:57:54.080
<v Speaker 3>do with commerce and money. That's really at the root

0:57:54.120 --> 0:57:58.160
<v Speaker 3>of Burning Man's financial woes. It just can't do money

0:57:58.560 --> 0:57:59.520
<v Speaker 3>explain what's going on.

0:58:00.720 --> 0:58:04.080
<v Speaker 13>Yeah, I mean, basically it's bound to these principles that

0:58:04.160 --> 0:58:07.360
<v Speaker 13>kind of emerged from this sort of utopian project of

0:58:07.720 --> 0:58:11.720
<v Speaker 13>you know, getting away from the traditional capitalist economy, decommodifying

0:58:11.760 --> 0:58:15.520
<v Speaker 13>the event. Everything there is based on gifting. You know,

0:58:15.560 --> 0:58:17.920
<v Speaker 13>for nine days, people get by on what they what

0:58:17.960 --> 0:58:21.360
<v Speaker 13>they brought, and what other people give them. But the organization,

0:58:21.520 --> 0:58:24.360
<v Speaker 13>the nonprofit that runs this, of course, has to operate

0:58:24.400 --> 0:58:27.760
<v Speaker 13>in the real world where det collectors do come for

0:58:27.840 --> 0:58:30.919
<v Speaker 13>your bills. And you know, for a period of time

0:58:30.960 --> 0:58:33.760
<v Speaker 13>the event was growing and there was a ton of

0:58:33.760 --> 0:58:36.960
<v Speaker 13>interest and ticket sales were covering the costs. But in

0:58:36.960 --> 0:58:40.880
<v Speaker 13>the last few years, costs have increased a lot, you know,

0:58:41.120 --> 0:58:44.840
<v Speaker 13>economic the inflation, but also you know in terms of

0:58:44.920 --> 0:58:49.240
<v Speaker 13>labor and other costs for events like this, and the

0:58:49.240 --> 0:58:51.560
<v Speaker 13>ticket prices just haven't kept up, and so the sort

0:58:51.560 --> 0:58:54.240
<v Speaker 13>of the business model of bringing this group together is

0:58:54.560 --> 0:58:57.760
<v Speaker 13>increasingly in doubt. And it kind of caught up to

0:58:57.800 --> 0:59:01.640
<v Speaker 13>them this last year when tickets actually didn't sell out completely,

0:59:01.920 --> 0:59:04.880
<v Speaker 13>particularly this higher price trant or tickets, and all of

0:59:04.920 --> 0:59:06.960
<v Speaker 13>a sudden the organization came out of the desert and

0:59:07.040 --> 0:59:09.160
<v Speaker 13>was basically twenty million dollars in the hole.

0:59:09.280 --> 0:59:10.439
<v Speaker 6>Wow, that's a lot of money.

0:59:11.000 --> 0:59:14.200
<v Speaker 1>You write in the story that back in nineteen ninety

0:59:14.360 --> 0:59:17.160
<v Speaker 1>anything close to when they sold anything close to a

0:59:17.200 --> 0:59:20.280
<v Speaker 1>ticket or what you could call it was actually a

0:59:20.280 --> 0:59:24.040
<v Speaker 1>suggestion of ten dollars in donations and price tickets or

0:59:24.040 --> 0:59:26.919
<v Speaker 1>the price of tickets kind of stayed around. I guess

0:59:27.000 --> 0:59:30.040
<v Speaker 1>that level for a while. What does it cost today

0:59:30.280 --> 0:59:34.080
<v Speaker 1>and why aren't people maybe as interested? Because I feel

0:59:34.120 --> 0:59:36.320
<v Speaker 1>like we used to talk about it a lot here,

0:59:36.400 --> 0:59:39.280
<v Speaker 1>because a lot of business folks, certainly in the tech community,

0:59:39.760 --> 0:59:42.240
<v Speaker 1>used to show up there. So talk to us about

0:59:42.240 --> 0:59:44.640
<v Speaker 1>what it costs today, and maybe why interest is waning?

0:59:45.920 --> 0:59:48.120
<v Speaker 13>Yeah, I mean, well, when it started, it was just

0:59:48.160 --> 0:59:50.120
<v Speaker 13>a bunch of people driving out into the desert, So

0:59:50.200 --> 0:59:52.440
<v Speaker 13>I don't think feel people felt compelled to sort of

0:59:52.440 --> 0:59:54.520
<v Speaker 13>make a donation. I dug up this flyer from the

0:59:54.520 --> 0:59:57.200
<v Speaker 13>first time that the event was held in Nevada with

0:59:57.320 --> 1:00:01.040
<v Speaker 13>as you said, it suggested ten dollars donation. Yeah, last year,

1:00:01.240 --> 1:00:03.960
<v Speaker 13>the standard price ticket was five hundred and seventy five dollars.

1:00:04.000 --> 1:00:06.360
<v Speaker 13>This year it's seven hundred and forty nine dollars. So

1:00:06.400 --> 1:00:10.080
<v Speaker 13>it's a big difference. And admittedly the event has gotten

1:00:10.120 --> 1:00:13.960
<v Speaker 13>a lot more formalized A lot more, you know, law abiding,

1:00:14.080 --> 1:00:17.520
<v Speaker 13>I guess, and believe me, there's plenty of debates over

1:00:17.560 --> 1:00:19.920
<v Speaker 13>whether which of those costs are necessary. But if you

1:00:19.960 --> 1:00:22.840
<v Speaker 13>have to spend three point two million dollars on porta potties,

1:00:23.000 --> 1:00:25.240
<v Speaker 13>which is how much they spent last year, you can

1:00:25.320 --> 1:00:27.640
<v Speaker 13>imagine the sort of scale of public services that the

1:00:28.160 --> 1:00:30.960
<v Speaker 13>that the organization has to has to offer these days.

1:00:32.160 --> 1:00:35.080
<v Speaker 13>And that gives into a lot of tension within sort

1:00:35.080 --> 1:00:38.840
<v Speaker 13>of the Burner burning Man community, because, as you said,

1:00:38.920 --> 1:00:42.760
<v Speaker 13>there's there's been this diminution in the number of people

1:00:42.760 --> 1:00:45.880
<v Speaker 13>that went to Nevada for the event last year, and

1:00:45.920 --> 1:00:48.200
<v Speaker 13>it's caused a lot of people to wonder has Burning

1:00:48.200 --> 1:00:51.680
<v Speaker 13>Man jumped the shark or was it you know, they

1:00:51.680 --> 1:00:54.520
<v Speaker 13>had an off year. There was a very well publicized

1:00:54.560 --> 1:00:57.880
<v Speaker 13>monsoon that led a lot of people sort of stranded

1:00:57.920 --> 1:01:01.880
<v Speaker 13>in mud the year before. You know, is this just

1:01:01.920 --> 1:01:04.160
<v Speaker 13>sort of like a temporary thing or a secular trend?

1:01:04.240 --> 1:01:06.600
<v Speaker 13>And as I also went on to report, a lot

1:01:06.640 --> 1:01:09.920
<v Speaker 13>of people who are who sort of identify as Burners

1:01:10.000 --> 1:01:12.920
<v Speaker 13>or Burning Man people aren't going to Nevada anymore. They're

1:01:12.960 --> 1:01:16.400
<v Speaker 13>actually going to regional events that have proliferated it around

1:01:16.400 --> 1:01:18.360
<v Speaker 13>the world, and now there's around one hundred of them,

1:01:18.560 --> 1:01:19.280
<v Speaker 13>and in fact.

1:01:19.160 --> 1:01:21.560
<v Speaker 6>Then they pay and they pay a franchise fee.

1:01:21.640 --> 1:01:25.680
<v Speaker 13>Right, No, you know, these events basically if they meet

1:01:25.720 --> 1:01:28.840
<v Speaker 13>the goals of Burning Man, they sick to the principles

1:01:28.840 --> 1:01:32.120
<v Speaker 13>that provide some monicam of safety. They can use that,

1:01:32.400 --> 1:01:35.280
<v Speaker 13>they can get sanctioned and they can exist, and they're offered,

1:01:35.280 --> 1:01:37.640
<v Speaker 13>they're asked to give a suggested donation of the organization,

1:01:37.720 --> 1:01:41.000
<v Speaker 13>but they don't tie basically the mothership and more people

1:01:41.080 --> 1:01:45.200
<v Speaker 13>now are experiencing Burning Man in those places than in

1:01:45.560 --> 1:01:46.800
<v Speaker 13>Nevada in Black Rock City.

1:01:46.920 --> 1:01:50.760
<v Speaker 3>Okay, Well, speaking of donations, Carol mentioned twenty million dollars

1:01:51.480 --> 1:01:53.840
<v Speaker 3>was a lot of money, and for an organization nonprofit

1:01:53.880 --> 1:01:57.360
<v Speaker 3>being short, twenty million dollars certainly is. But to somebody

1:01:58.120 --> 1:02:00.600
<v Speaker 3>who's one of the wealthiest people in the world, indeed

1:02:00.600 --> 1:02:02.600
<v Speaker 3>the wealthiest person in the world. The names of people

1:02:02.600 --> 1:02:06.320
<v Speaker 3>who are Burning Men supporters, Larry Page, Sergei Brin, Eric Schmidt,

1:02:06.320 --> 1:02:08.880
<v Speaker 3>they're all billionaires. Mark Zuckerberg one of the wealthiest people

1:02:08.880 --> 1:02:11.640
<v Speaker 3>in the world. Elon Musk is the wealthiest person in

1:02:11.680 --> 1:02:15.080
<v Speaker 3>the world. Twenty million dollars would be nothing for some

1:02:15.200 --> 1:02:19.280
<v Speaker 3>of these billionaires. What did the CEO of the organization

1:02:19.360 --> 1:02:23.760
<v Speaker 3>tell you about her relationship with the wealthiest people in

1:02:23.760 --> 1:02:25.960
<v Speaker 3>the world and who have been supporters of Burning Men,

1:02:26.200 --> 1:02:28.520
<v Speaker 3>and how they could or could not help fill the

1:02:28.560 --> 1:02:29.000
<v Speaker 3>gap here.

1:02:30.760 --> 1:02:34.160
<v Speaker 13>I think it's pretty popularly understood that sort of Silicon

1:02:34.240 --> 1:02:39.120
<v Speaker 13>Valley's elites have, you know, are very connected with Burning Man.

1:02:39.200 --> 1:02:42.800
<v Speaker 13>But even to me, I was surprised to learn how

1:02:42.880 --> 1:02:46.360
<v Speaker 13>fundamental a very small number of those uber wealthy people

1:02:46.360 --> 1:02:50.640
<v Speaker 13>have been to the organization. It was in a fundraising

1:02:50.680 --> 1:02:53.000
<v Speaker 13>prospectus that was sort of an internal document that I

1:02:53.080 --> 1:02:56.720
<v Speaker 13>learned that just five individuals have provided the organization two

1:02:56.800 --> 1:02:59.400
<v Speaker 13>thirds of its philanthropic funding in the last ten years,

1:02:59.520 --> 1:03:03.120
<v Speaker 13>over million dollars. They wouldn't tell me the exact names,

1:03:03.120 --> 1:03:08.520
<v Speaker 13>but I think you've mentioned a few most likely, And

1:03:08.600 --> 1:03:11.200
<v Speaker 13>as the fundraisers for the organization told me Britch, people

1:03:11.480 --> 1:03:15.160
<v Speaker 13>are weird about money, and folks who are willing to

1:03:15.160 --> 1:03:17.120
<v Speaker 13>go or in fact eager to go out into the

1:03:17.160 --> 1:03:19.880
<v Speaker 13>desert spend a lot of money on a flame belching

1:03:20.000 --> 1:03:22.880
<v Speaker 13>vehicle to drive around, or as one I spoke with,

1:03:23.760 --> 1:03:25.920
<v Speaker 13>you know runs a big camp for all this extended

1:03:25.920 --> 1:03:28.480
<v Speaker 13>family and friends they give out. They gave out a

1:03:28.520 --> 1:03:32.480
<v Speaker 13>kilo of high grade Iranian saffron, you know, which has

1:03:32.480 --> 1:03:36.800
<v Speaker 13>some hallucinogenic properties. You know, people are very willing to

1:03:36.800 --> 1:03:39.200
<v Speaker 13>make those sort of private contributions, but they're a lot

1:03:39.240 --> 1:03:42.960
<v Speaker 13>more reticent to support the organization, and so they're trying

1:03:43.000 --> 1:03:46.800
<v Speaker 13>to pivot. Basically, the organization, the Burning Man Organization's point

1:03:46.840 --> 1:03:50.000
<v Speaker 13>of view is we're like another arts organization. We're like

1:03:50.040 --> 1:03:53.960
<v Speaker 13>the met Opera, you know, or American Ballet Theater. We

1:03:54.040 --> 1:03:56.760
<v Speaker 13>need people to support us because ticket revenues are alone

1:03:56.760 --> 1:04:00.000
<v Speaker 13>aren't going to pay the bills, but get it can

1:04:00.080 --> 1:04:02.960
<v Speaker 13>Mincing wealthy donors to sort of pitch in for the

1:04:02.960 --> 1:04:05.520
<v Speaker 13>more humdrum kind of costs of putting on the event

1:04:05.800 --> 1:04:08.400
<v Speaker 13>has been a challenge, and they fell very short of

1:04:08.440 --> 1:04:11.320
<v Speaker 13>their twenty million dollar fundraising goal this last year. Last

1:04:11.320 --> 1:04:12.880
<v Speaker 13>I heard they'd raised seven million dollars.

1:04:13.040 --> 1:04:15.960
<v Speaker 6>So fundraising not going so well.

1:04:16.200 --> 1:04:18.840
<v Speaker 13>So everything hangs in the balance here For the sales

1:04:18.880 --> 1:04:21.800
<v Speaker 13>this year, I think, you know, they've tried to be

1:04:21.960 --> 1:04:25.040
<v Speaker 13>more firm about asking a higher ticket price and sort

1:04:25.080 --> 1:04:27.640
<v Speaker 13>of coaxing people to pitch in what they say is

1:04:27.680 --> 1:04:31.080
<v Speaker 13>the true cost. But they're between a little bit of

1:04:31.120 --> 1:04:32.760
<v Speaker 13>a rock and a hard place, because the higher they

1:04:32.840 --> 1:04:37.240
<v Speaker 13>raise prices, they're losing their lower income adherents, some long

1:04:37.320 --> 1:04:40.160
<v Speaker 13>time members of their community who kind of make the event,

1:04:40.200 --> 1:04:42.640
<v Speaker 13>who build the event. And so if they raise prices

1:04:42.680 --> 1:04:45.560
<v Speaker 13>too much, they're going to lose the things that make

1:04:45.640 --> 1:04:47.320
<v Speaker 13>that whole event what it is.

1:04:47.800 --> 1:04:52.360
<v Speaker 1>We cover the US Open and it's lots of sponsorships,

1:04:52.560 --> 1:04:57.240
<v Speaker 1>big well known companies, any companies interested in sponsoring this event.

1:04:58.680 --> 1:05:01.920
<v Speaker 13>Well, you know that Burning Man organization has tried to,

1:05:02.120 --> 1:05:05.680
<v Speaker 13>i think adapt to new times. They're trying to interest

1:05:05.760 --> 1:05:09.480
<v Speaker 13>a new generation, right of the gen zers who haven't

1:05:10.120 --> 1:05:11.920
<v Speaker 13>who have not been attending, who don't know how to

1:05:11.920 --> 1:05:14.400
<v Speaker 13>get a ticket or pay a price. They've embraced some

1:05:14.560 --> 1:05:16.680
<v Speaker 13>kinds of social media trying to put the word out

1:05:16.720 --> 1:05:19.280
<v Speaker 13>about their tickets. But they're really hedged in by again

1:05:19.360 --> 1:05:22.760
<v Speaker 13>those principles that they're philosophical principles, because if they step

1:05:23.280 --> 1:05:25.800
<v Speaker 13>into a realm where it looks like they're commodifying what

1:05:25.840 --> 1:05:29.600
<v Speaker 13>they're doing, they get so much blowback from this pretty

1:05:29.640 --> 1:05:34.800
<v Speaker 13>intense community. They reposted a TikTok with you know, some

1:05:34.880 --> 1:05:39.000
<v Speaker 13>folks kind of like doing shot skis and like trampolining

1:05:39.360 --> 1:05:42.520
<v Speaker 13>in baby oil, and people lost their minds on Reddit

1:05:43.160 --> 1:05:46.320
<v Speaker 13>and so yeah, to bring in companies, private companies, or

1:05:46.320 --> 1:05:48.640
<v Speaker 13>to seek other sources of revenue, I think is really

1:05:49.000 --> 1:05:52.960
<v Speaker 13>anathema to who they are. But you know that limits

1:05:52.960 --> 1:05:55.880
<v Speaker 13>their options about how to monetize monetize what they do.

1:05:56.040 --> 1:05:58.560
<v Speaker 3>I don't want to give away the whole story. It's

1:05:58.600 --> 1:06:01.160
<v Speaker 3>worth the read. It has been among the top red

1:06:01.200 --> 1:06:04.400
<v Speaker 3>stories on the Bloomberg terminal since this came out, and

1:06:04.840 --> 1:06:06.760
<v Speaker 3>I've had people text me about it. Actually, my dad

1:06:06.800 --> 1:06:10.680
<v Speaker 3>loved this story. He's like a I guess you.

1:06:10.600 --> 1:06:12.320
<v Speaker 6>Could say, does the where she had gone?

1:06:12.480 --> 1:06:16.320
<v Speaker 3>No observer a distant observer of burning Man. I think

1:06:16.320 --> 1:06:18.240
<v Speaker 3>it's fair to say, I don't want to give the

1:06:18.280 --> 1:06:19.880
<v Speaker 3>whole thing away, but can you just tell us a

1:06:19.960 --> 1:06:23.640
<v Speaker 3>little bit about a potential solution here? This voluntary burning

1:06:23.680 --> 1:06:24.520
<v Speaker 3>Man wealth tax?

1:06:25.080 --> 1:06:27.800
<v Speaker 13>Yeah, got to go there. Well. One of the board

1:06:27.840 --> 1:06:33.280
<v Speaker 13>members of the burning Man project who is has told me,

1:06:33.400 --> 1:06:37.600
<v Speaker 13>is one of the major donors that supported it farhad Mohet,

1:06:37.640 --> 1:06:41.560
<v Speaker 13>who's shold Shopzilla for over a half billion dollars twenty

1:06:41.680 --> 1:06:44.920
<v Speaker 13>years ago and has had some other very successful ventures since.

1:06:45.840 --> 1:06:48.240
<v Speaker 13>You know, he's all in on a more ambitious vision

1:06:48.400 --> 1:06:52.000
<v Speaker 13>for burning Man and His view is that wealthy people

1:06:52.240 --> 1:06:55.040
<v Speaker 13>like himself should pay a bigger share, and he made

1:06:55.080 --> 1:06:58.960
<v Speaker 13>this amazing website which he calls the Burning Man Principal

1:06:59.040 --> 1:07:02.200
<v Speaker 13>Pause Calculate, which is essentially he says, if you go

1:07:02.240 --> 1:07:04.720
<v Speaker 13>to Burning Man for nine days and you know, don't

1:07:04.760 --> 1:07:07.400
<v Speaker 13>work and you just play your capital, your money should

1:07:07.440 --> 1:07:10.560
<v Speaker 13>go with you. It shouldn't go with you, it should

1:07:10.600 --> 1:07:13.200
<v Speaker 13>actually take that time off. And so the interest that

1:07:13.240 --> 1:07:16.040
<v Speaker 13>your wealth generates in that nine days, you should contribute

1:07:16.160 --> 1:07:18.360
<v Speaker 13>to the Burning Man organization. And if you put in

1:07:18.400 --> 1:07:22.080
<v Speaker 13>your wealth and his calculator and you're like me, freelance

1:07:22.160 --> 1:07:25.800
<v Speaker 13>journalists income, you find wow, based on my income or

1:07:25.800 --> 1:07:28.280
<v Speaker 13>my wealth, I don't know anything. But he put in

1:07:28.320 --> 1:07:30.560
<v Speaker 13>for me, you know, okay, well you got one billion dollars.

1:07:30.560 --> 1:07:32.280
<v Speaker 13>Oh you have ten bills, Oh you have one hundred

1:07:32.280 --> 1:07:35.360
<v Speaker 13>and fifty billion dollars. And he's thinking about somebody specific,

1:07:35.400 --> 1:07:37.800
<v Speaker 13>and he says like, this guy needs to give one

1:07:37.840 --> 1:07:41.000
<v Speaker 13>point three billion dollars to the Burning Man organization. And

1:07:41.480 --> 1:07:44.480
<v Speaker 13>I was like, well, that exceeds their expenses. What are

1:07:44.520 --> 1:07:46.360
<v Speaker 13>you going to do the rest? And he said, we'll

1:07:46.360 --> 1:07:48.840
<v Speaker 13>flip it on its head. We'll give the money out

1:07:48.920 --> 1:07:52.680
<v Speaker 13>to all the burners as a universal burner income, you know,

1:07:52.760 --> 1:07:56.280
<v Speaker 13>and then we're really living our values and so you know,

1:07:56.480 --> 1:08:00.440
<v Speaker 13>apparently a few people he's spoken with about are enthusiastic scores.

1:08:00.480 --> 1:08:03.360
<v Speaker 13>This is a voluntary I would kind of describe it

1:08:03.360 --> 1:08:06.480
<v Speaker 13>as a wealth tax, but it's suggested donation going back

1:08:06.480 --> 1:08:08.880
<v Speaker 13>to their roots and we'll see if it takes hold.

1:08:09.080 --> 1:08:13.320
<v Speaker 6>What was he smoking? Oh sorry, no, I'm just saying this, Saffron.

1:08:13.360 --> 1:08:13.600
<v Speaker 13>I think.

1:08:14.360 --> 1:08:15.640
<v Speaker 3>I don't know. I don't know it was it. Read

1:08:15.680 --> 1:08:16.719
<v Speaker 3>the story, reading the story.

1:08:16.720 --> 1:08:18.800
<v Speaker 6>I don't know anyway, unbelievable read.

1:08:18.920 --> 1:08:21.240
<v Speaker 1>As Tim mentioned, it has been among the most read

1:08:21.280 --> 1:08:24.920
<v Speaker 1>stories throughout the week. Ted Alcorn, He's contributor at Bloomberg

1:08:24.960 --> 1:08:27.599
<v Speaker 1>business Week. Check out a story about burning Man Festival

1:08:27.680 --> 1:08:30.759
<v Speaker 1>facing its extential existential financial crisis.

1:08:30.760 --> 1:08:32.280
<v Speaker 6>It's an incredible read.

1:08:33.080 --> 1:08:37.080
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

1:08:37.160 --> 1:08:40.639
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

1:08:40.640 --> 1:08:44.160
<v Speaker 2>on Applecarplay and the Android Auto with the Bloomberg Business app,

1:08:44.360 --> 1:08:46.720
<v Speaker 2>or watch us live on YouTube.

1:08:47.360 --> 1:08:48.799
<v Speaker 6>It's not for Bloomberg Pursuits.

1:08:48.800 --> 1:08:51.479
<v Speaker 1>And this week it's the Jewelry special featured in the

1:08:51.520 --> 1:08:54.879
<v Speaker 1>magazine out on newstands later this month and already available

1:08:54.920 --> 1:08:57.840
<v Speaker 1>online on the Bloomberg and at bloomberg dot Com and

1:08:57.920 --> 1:09:01.240
<v Speaker 1>tim It's all about the one hundred years of Art

1:09:01.280 --> 1:09:03.840
<v Speaker 1>Deco influence. I love the history that we find out

1:09:04.040 --> 1:09:05.920
<v Speaker 1>about kind of how it all came to be, and

1:09:05.960 --> 1:09:08.120
<v Speaker 1>so we're going to get into that jewelry that's over

1:09:08.160 --> 1:09:10.759
<v Speaker 1>a century old, that worth millions of dollars.

1:09:11.000 --> 1:09:13.920
<v Speaker 3>Here with more is Bloomberg contributing a jewelry rider and

1:09:13.960 --> 1:09:18.280
<v Speaker 3>founder of La Patiala, the luxury encyclopedia, Kristin Shirley. Back

1:09:18.320 --> 1:09:20.400
<v Speaker 3>with us. Kristin, I want to start with some history

1:09:20.439 --> 1:09:23.599
<v Speaker 3>and definitions here. What is art Deco and just give

1:09:23.680 --> 1:09:24.440
<v Speaker 3>us some background?

1:09:24.920 --> 1:09:27.639
<v Speaker 14>Sure, So the Art Deco period started in the early

1:09:27.720 --> 1:09:31.400
<v Speaker 14>nineteen hundreds and really crystallized in nineteen twenty five at

1:09:31.400 --> 1:09:34.880
<v Speaker 14>the big exhibition in Paris for Art Deco jewelry. There

1:09:34.920 --> 1:09:37.240
<v Speaker 14>are a lot of different styles, but what they share

1:09:37.479 --> 1:09:42.800
<v Speaker 14>is graphic, linear design, few colors, but bold colors when

1:09:42.800 --> 1:09:46.920
<v Speaker 14>they're used, and the use of diamonds, black enamel and honor.

1:09:47.320 --> 1:09:48.240
<v Speaker 6>What did it come to be?

1:09:48.400 --> 1:09:50.719
<v Speaker 1>Like? I always think about, you know, trends and waves

1:09:51.120 --> 1:09:53.960
<v Speaker 1>fashion art jewelry, Like what is it like, take us

1:09:53.960 --> 1:09:55.479
<v Speaker 1>back to nineteen twenty five.

1:09:56.520 --> 1:10:01.040
<v Speaker 14>Sure, so this was a reaction to the very floral,

1:10:01.840 --> 1:10:07.320
<v Speaker 14>swirlly motifs of the period that the late eighteen hundreds.

1:10:07.439 --> 1:10:10.759
<v Speaker 14>So these new geometric motifs were sort of the opposite

1:10:10.800 --> 1:10:14.080
<v Speaker 14>of that. These designers were looking at modernity, and modernity

1:10:14.120 --> 1:10:17.360
<v Speaker 14>to them was strict geometric lines. We were entering the

1:10:17.439 --> 1:10:24.080
<v Speaker 14>industrial era with you know, Ford assembly lines and new

1:10:24.120 --> 1:10:27.360
<v Speaker 14>buildings and tanks. And unfortunately, World War One came in

1:10:27.400 --> 1:10:30.679
<v Speaker 14>and sort of put a stop to this design period,

1:10:30.840 --> 1:10:32.760
<v Speaker 14>and then it picked it up at the back of

1:10:33.120 --> 1:10:37.080
<v Speaker 14>the war, and then the exhibition happened in nineteen twenty five,

1:10:37.240 --> 1:10:39.280
<v Speaker 14>once the europe had had a chance to recover.

1:10:39.640 --> 1:10:41.439
<v Speaker 3>I think a lot of people are really familiar with

1:10:41.439 --> 1:10:44.000
<v Speaker 3>our Deco buildings, especially here in New York, maybe the

1:10:44.080 --> 1:10:48.120
<v Speaker 3>Chrysler Building or the Empire State Building. But jewelry before

1:10:48.200 --> 1:10:50.519
<v Speaker 3>reading your piece was kind of new to me. It

1:10:50.560 --> 1:10:53.280
<v Speaker 3>didn't occur to me that the Art Deco movement extended

1:10:53.320 --> 1:10:54.080
<v Speaker 3>toward jewelry.

1:10:55.400 --> 1:10:57.799
<v Speaker 14>Yes, our Deco jewelry is actually one of the most

1:10:57.920 --> 1:11:01.160
<v Speaker 14>enduring and timeless jewelry trends that they there is no

1:11:01.160 --> 1:11:04.519
<v Speaker 14>matter what year the pieces are from They really have

1:11:04.680 --> 1:11:08.200
<v Speaker 14>this ultra modern look. So in our story, we combined

1:11:08.320 --> 1:11:11.840
<v Speaker 14>vintage pieces from the early nineteen hundreds with pieces that

1:11:11.880 --> 1:11:14.240
<v Speaker 14>were made this year, and I think looking at them,

1:11:14.439 --> 1:11:17.599
<v Speaker 14>you can't really tell what's vintage and what's new because

1:11:17.600 --> 1:11:19.599
<v Speaker 14>it still looks so fresh. And it's one of the

1:11:19.760 --> 1:11:21.719
<v Speaker 14>very few periods that you can say that about.

1:11:21.880 --> 1:11:22.840
<v Speaker 6>That is so true.

1:11:23.040 --> 1:11:25.040
<v Speaker 1>And it's funny because I had to go back and forth.

1:11:25.080 --> 1:11:29.599
<v Speaker 1>I'm like, Oh, that's new stuff, which is fascinating. Christin

1:11:29.640 --> 1:11:32.080
<v Speaker 1>take us back though, to November that auction at Christie's,

1:11:32.080 --> 1:11:35.120
<v Speaker 1>because I'm always curious about too. Why you guys decide

1:11:35.240 --> 1:11:37.479
<v Speaker 1>to talk about this right now? It sounds like all

1:11:37.479 --> 1:11:39.479
<v Speaker 1>of a sudden pieces have been coming up for auction

1:11:39.600 --> 1:11:42.920
<v Speaker 1>and investors, buyers, they're really interested in them.

1:11:44.080 --> 1:11:47.840
<v Speaker 14>Yes, I think Art deco is always enduring. But there

1:11:47.920 --> 1:11:51.200
<v Speaker 14>was a huge collection of a private family collection of

1:11:51.320 --> 1:11:53.960
<v Speaker 14>jewelry that came up for auction and Christie's in November,

1:11:54.360 --> 1:11:58.120
<v Speaker 14>and the piece is sold for exceptional sums, you know,

1:11:58.200 --> 1:12:02.559
<v Speaker 14>two to three times and many amounts, and that's because

1:12:02.680 --> 1:12:05.200
<v Speaker 14>the provenance was secure. It had been in the same

1:12:05.240 --> 1:12:07.759
<v Speaker 14>family ever since it was commissioned, since the nineteen twenties,

1:12:07.800 --> 1:12:11.040
<v Speaker 14>which is very rare and have massive, massive gemstones that

1:12:11.120 --> 1:12:14.360
<v Speaker 14>you sometimes can't find today because the mines have then depleted.

1:12:15.080 --> 1:12:18.320
<v Speaker 14>So when we were looking at the jewelry world this year,

1:12:18.360 --> 1:12:20.320
<v Speaker 14>we said, what is the biggest story, And for me,

1:12:21.080 --> 1:12:23.639
<v Speaker 14>it was that art Deco started one hundred years ago

1:12:23.720 --> 1:12:27.120
<v Speaker 14>really and is still as desirable today. Someone spent four

1:12:27.120 --> 1:12:31.040
<v Speaker 14>point four million francs on a single necklace. That's pretty wild.

1:12:31.200 --> 1:12:32.759
<v Speaker 6>Well, all right, what was that necklace?

1:12:35.280 --> 1:12:38.840
<v Speaker 14>It was a beautiful Cartier necklace and it had about

1:12:38.840 --> 1:12:41.680
<v Speaker 14>one hundred and thirty carrots of diamonds and it was

1:12:41.800 --> 1:12:46.320
<v Speaker 14>just very strict geometric, absolutely stunning, a perfect example of

1:12:46.439 --> 1:12:47.240
<v Speaker 14>Art Deco style.

1:12:47.520 --> 1:12:50.040
<v Speaker 6>I think I have a version of that in rhinestones.

1:12:50.880 --> 1:12:52.120
<v Speaker 6>We're just not the same thing.

1:12:52.360 --> 1:12:54.400
<v Speaker 1>No, but it's really just I mean, you look at

1:12:54.439 --> 1:12:57.479
<v Speaker 1>something like that, it's timeless. I also love I mean

1:12:57.479 --> 1:12:59.360
<v Speaker 1>walk us through some of the other pieces and also

1:13:00.080 --> 1:13:04.200
<v Speaker 1>kind of go back to some old Hollywood icons many

1:13:04.240 --> 1:13:08.759
<v Speaker 1>decades ago, who also kind of show show case pieces.

1:13:09.000 --> 1:13:11.920
<v Speaker 14>Yes, if we're looking at Hollywood in the nineteen twenties

1:13:11.920 --> 1:13:14.600
<v Speaker 14>and nineteen thirties, these starlets were saying, I want to

1:13:14.600 --> 1:13:17.040
<v Speaker 14>wear art Deco jewelry. I don't care what era of

1:13:17.080 --> 1:13:19.640
<v Speaker 14>the movie is taking place, And so we see it

1:13:19.680 --> 1:13:24.160
<v Speaker 14>in a Cleopatra movie, which the Costume Archives at Paramount

1:13:24.200 --> 1:13:26.519
<v Speaker 14>described as the most Art Deco movie of all time.

1:13:26.960 --> 1:13:29.799
<v Speaker 14>You wouldn't think Cleopatra would be wearing Art Deco jewelry

1:13:29.800 --> 1:13:32.880
<v Speaker 14>and clothing, but it was just so avant garde and

1:13:32.920 --> 1:13:35.360
<v Speaker 14>of the moment that that's how they dressed her. And

1:13:35.400 --> 1:13:38.720
<v Speaker 14>it's really an interesting thing to see. Then if we're

1:13:38.760 --> 1:13:40.880
<v Speaker 14>looking at the actual pieces that we shot. We shot

1:13:40.880 --> 1:13:44.360
<v Speaker 14>a mix of vintage from the nineteen twenties and nineteen

1:13:44.400 --> 1:13:49.600
<v Speaker 14>thirties from makers including Chomet and Bulgarie, and then we

1:13:49.680 --> 1:13:54.920
<v Speaker 14>shot modern pieces from independent designers like Passen, Adam Neely

1:13:55.000 --> 1:13:58.120
<v Speaker 14>and Jessica McCormack, and the top houses of the day

1:13:58.360 --> 1:14:01.759
<v Speaker 14>like being Cleifan, Ourpels, Buchmarl and Cartier.

1:14:02.439 --> 1:14:05.840
<v Speaker 3>What about now in sort of everyday jewelry and the

1:14:05.880 --> 1:14:10.320
<v Speaker 3>influence of Art Deco one hundred years ago on designers today.

1:14:11.360 --> 1:14:13.479
<v Speaker 14>Well, I think people would be surprised that a lot

1:14:13.520 --> 1:14:16.960
<v Speaker 14>of the jewelry they're wearing is Art Deco inspired. If

1:14:16.960 --> 1:14:20.680
<v Speaker 14>you're wearing something that's geometric, it's got white diamonds and

1:14:20.800 --> 1:14:25.840
<v Speaker 14>black enamel. That is quintessential art Deco right there. Anything

1:14:25.920 --> 1:14:29.280
<v Speaker 14>with like a cavish and gemstone inside a geometric setting

1:14:29.439 --> 1:14:33.920
<v Speaker 14>also buried art Deco. And we see these designers pulling

1:14:33.960 --> 1:14:37.439
<v Speaker 14>inspiration from all sorts of Art Deco pieces. For example,

1:14:37.479 --> 1:14:41.639
<v Speaker 14>Fernando Storage that we featured in the story, his pieces

1:14:41.640 --> 1:14:44.400
<v Speaker 14>were inspired by the Chrysler Building and New York City's

1:14:44.600 --> 1:14:48.040
<v Speaker 14>iconic Art Deco buildings. So designers are bringing in Art

1:14:48.080 --> 1:14:50.639
<v Speaker 14>Deco influences from outside of the jewelry world too.

1:14:50.840 --> 1:14:52.280
<v Speaker 6>I have to say, the airrings are amazing.

1:14:52.320 --> 1:14:54.160
<v Speaker 1>Folks should go online and check it out or go

1:14:54.160 --> 1:14:57.120
<v Speaker 1>to the Bloomberg And my understanding on all of this

1:14:57.280 --> 1:14:59.759
<v Speaker 1>or a lot of those prices are upon request unless

1:14:59.800 --> 1:15:02.479
<v Speaker 1>news and there are a lot of prices upon request,

1:15:02.600 --> 1:15:04.519
<v Speaker 1>So as my mom used to say, if you have

1:15:04.560 --> 1:15:08.919
<v Speaker 1>to ask. Kristin, thanks so much. It's an incredible spread.

1:15:09.040 --> 1:15:13.200
<v Speaker 1>And read the jewelry special here in pursuits. Kristin Shirley,

1:15:13.240 --> 1:15:16.439
<v Speaker 1>thank you so much. Bloomberg's contributing jewelry writer and founder

1:15:16.479 --> 1:15:20.479
<v Speaker 1>of Patilla joining us here. All right, art Deco matters,

1:15:20.520 --> 1:15:24.640
<v Speaker 1>We got that, and so too, it seems Tim keyfobs,

1:15:24.680 --> 1:15:26.599
<v Speaker 1>especially when you take into account what goes into them.

1:15:26.680 --> 1:15:28.200
<v Speaker 3>Yeah, I learned that the hard way. A couple of

1:15:28.240 --> 1:15:31.120
<v Speaker 3>years ago. I lost the humble key fob for my

1:15:31.560 --> 1:15:36.559
<v Speaker 3>twenty eighteen subrew outback and it was many, many, many

1:15:36.640 --> 1:15:38.800
<v Speaker 3>hundreds of dollars to replace it. I was like, this

1:15:38.880 --> 1:15:39.560
<v Speaker 3>is insane.

1:15:39.920 --> 1:15:40.599
<v Speaker 6>It's insane.

1:15:40.680 --> 1:15:44.559
<v Speaker 3>I actually think it was like, not cool, cool, it's

1:15:44.600 --> 1:15:44.960
<v Speaker 3>not cool.

1:15:45.040 --> 1:15:47.240
<v Speaker 1>No, they're crazy. We're always like in our house, don't

1:15:47.320 --> 1:15:48.280
<v Speaker 1>lose the keyfob.

1:15:48.640 --> 1:15:49.280
<v Speaker 6>With more on that.

1:15:49.400 --> 1:15:50.680
<v Speaker 3>I got a guy though, Now you.

1:15:50.720 --> 1:15:51.160
<v Speaker 6>Got a guy?

1:15:51.240 --> 1:15:51.559
<v Speaker 2>A guy?

1:15:51.640 --> 1:15:53.559
<v Speaker 3>Yeah, Timmy's like, you have a guy for every Yeah,

1:15:53.600 --> 1:15:55.120
<v Speaker 3>I didn't. Let's just say I didn't go with the

1:15:55.160 --> 1:15:57.519
<v Speaker 3>official subreu one. I got a guy. He showed up.

1:15:57.600 --> 1:15:59.600
<v Speaker 1>You maybe from California, but you have definitely become a

1:15:59.640 --> 1:16:02.559
<v Speaker 1>New York. All right, let's get to it, and we're

1:16:02.560 --> 1:16:03.800
<v Speaker 1>al just going to get a little bit into her

1:16:03.800 --> 1:16:08.320
<v Speaker 1>recent drive by with the Tesla Diner. Bloombergotto columnist Hannah

1:16:08.320 --> 1:16:10.960
<v Speaker 1>Elliott joining us. Now, Hannah, good to have you here.

1:16:11.040 --> 1:16:13.519
<v Speaker 1>Let's talk key fobs first of all, because I think

1:16:13.600 --> 1:16:16.520
<v Speaker 1>we just think they're this silly little thing, but apparently

1:16:16.560 --> 1:16:19.280
<v Speaker 1>there's a lot that goes into them, especially for a

1:16:19.800 --> 1:16:21.280
<v Speaker 1>luxury car or higher end car.

1:16:21.800 --> 1:16:24.120
<v Speaker 7>Hi, guys, that's exactly right. And Tim, that was so

1:16:24.280 --> 1:16:27.680
<v Speaker 7>not cool. I'm very upset by your tale of your

1:16:27.720 --> 1:16:28.559
<v Speaker 7>lost key fob.

1:16:28.720 --> 1:16:30.720
<v Speaker 3>Well, I called the super dealer and I think they

1:16:30.720 --> 1:16:32.640
<v Speaker 3>were said like it'd be in the many hundreds of

1:16:32.680 --> 1:16:34.960
<v Speaker 3>dollars to replace it. So I looked at Reddit and

1:16:35.000 --> 1:16:37.880
<v Speaker 3>I found that you can actually call a like a

1:16:37.880 --> 1:16:40.080
<v Speaker 3>special type of locksmith and they can bring you an

1:16:40.080 --> 1:16:42.680
<v Speaker 3>aftermarket one that works just as well. That was like,

1:16:42.720 --> 1:16:44.400
<v Speaker 3>it was like one hundred and fifty two hundred bucks.

1:16:44.439 --> 1:16:46.400
<v Speaker 7>That's a great hack. We should all take a queue.

1:16:46.479 --> 1:16:49.720
<v Speaker 7>That's a great hack. And Carol to your point, Yeah,

1:16:49.840 --> 1:16:53.000
<v Speaker 7>key fobs are something that we don't really think about

1:16:53.120 --> 1:16:55.880
<v Speaker 7>until we have to, like if we lose it. But

1:16:56.160 --> 1:17:00.200
<v Speaker 7>actually it is kind of a calling card for your

1:17:00.320 --> 1:17:03.840
<v Speaker 7>car because it is the first and primary way that

1:17:03.920 --> 1:17:07.240
<v Speaker 7>you are going to interact with the vehicle. Actually, and

1:17:07.479 --> 1:17:11.160
<v Speaker 7>automakers do know this. They've kind of come to embrace it,

1:17:11.680 --> 1:17:16.200
<v Speaker 7>embrace it in recent years, especially the higher end, like

1:17:16.240 --> 1:17:18.959
<v Speaker 7>I'm thinking of Bentley for instance, which has this amazing,

1:17:19.680 --> 1:17:23.680
<v Speaker 7>pretty heavy sort of ovoid key fob that has this

1:17:23.800 --> 1:17:27.040
<v Speaker 7>really cool burling on it and this Bentley b on

1:17:27.080 --> 1:17:29.160
<v Speaker 7>the top and that it that is on the top

1:17:29.280 --> 1:17:32.000
<v Speaker 7>specifically so that when you leave the key like on

1:17:32.120 --> 1:17:34.200
<v Speaker 7>a bar or on a table in a restaurant, it's

1:17:34.240 --> 1:17:36.400
<v Speaker 7>sort of a low key, humble brag that, oh I've

1:17:36.439 --> 1:17:37.480
<v Speaker 7>got a Bentley.

1:17:37.360 --> 1:17:39.720
<v Speaker 6>Which really low key.

1:17:39.920 --> 1:17:40.559
<v Speaker 11>Maybe not that.

1:17:40.560 --> 1:17:41.559
<v Speaker 7>Low y, maybe not that.

1:17:43.080 --> 1:17:45.559
<v Speaker 1>The other thing that was interesting to like some people,

1:17:45.720 --> 1:17:48.960
<v Speaker 1>I love what you talk about the BMW key fob

1:17:49.000 --> 1:17:50.559
<v Speaker 1>that like kind of went maybe too far.

1:17:51.080 --> 1:17:55.040
<v Speaker 7>Yeah, you know again, this is sort of a new

1:17:55.200 --> 1:17:59.880
<v Speaker 7>era of exploration in the key fob segment, and we

1:18:00.080 --> 1:18:02.800
<v Speaker 7>got a credit BMW. They really they shot for the

1:18:02.800 --> 1:18:05.880
<v Speaker 7>moon on this. In about twenty fifteen, they developed this

1:18:06.040 --> 1:18:11.840
<v Speaker 7>display key, which was this really big, oversized fob with

1:18:11.920 --> 1:18:15.360
<v Speaker 7>a screen on it and it had a ton of function.

1:18:15.760 --> 1:18:18.519
<v Speaker 7>Is literally kind of like an iPhone, a small iPhone.

1:18:18.520 --> 1:18:21.920
<v Speaker 7>But it was a six hundred and seventy dollars option

1:18:22.800 --> 1:18:26.240
<v Speaker 7>and it is no longer offered. It was discontinued in

1:18:26.280 --> 1:18:31.000
<v Speaker 7>twenty twenty two because of low consumer interest. So that

1:18:31.080 --> 1:18:32.040
<v Speaker 7>was a no. That was a no.

1:18:32.520 --> 1:18:36.920
<v Speaker 3>How did Cadillac and General Motors kind of mess up

1:18:37.000 --> 1:18:40.439
<v Speaker 3>with their high end competitor.

1:18:40.080 --> 1:18:42.599
<v Speaker 7>This is an interesting thing too. This is a this

1:18:42.640 --> 1:18:48.640
<v Speaker 7>is a miss. And we recently drove the Cadillac Celestic,

1:18:48.720 --> 1:18:51.559
<v Speaker 7>which is their Rolls Royce competitor, and I actually did

1:18:51.680 --> 1:18:54.280
<v Speaker 7>like that vehicle. But the one thing that was a

1:18:54.280 --> 1:18:58.640
<v Speaker 7>big miss is the key was not special. It was

1:18:58.800 --> 1:19:02.880
<v Speaker 7>a plastic key, a thick leather sheath that was the

1:19:02.920 --> 1:19:06.480
<v Speaker 7>same key that you would get in any other Cadillac,

1:19:06.680 --> 1:19:09.719
<v Speaker 7>And for a car that is supposed to be going

1:19:09.800 --> 1:19:14.599
<v Speaker 7>up against, for instance, a Rolls Royce, the key just

1:19:14.640 --> 1:19:17.280
<v Speaker 7>felt like a total flop. It did not have any

1:19:17.360 --> 1:19:23.400
<v Speaker 7>of the signature or subtle details and just touch points

1:19:23.400 --> 1:19:26.120
<v Speaker 7>that the car itself had. It just was a plastic fob.

1:19:26.360 --> 1:19:30.040
<v Speaker 7>It was kind of a dud wo. Yeah, it's exactly

1:19:30.600 --> 1:19:33.240
<v Speaker 7>so these things do matter. On the other side of things,

1:19:33.320 --> 1:19:37.280
<v Speaker 7>Lotus with their electric suv that Eleetre has developed this

1:19:37.320 --> 1:19:39.640
<v Speaker 7>thing they're calling the pebble, which is a fob, but

1:19:39.720 --> 1:19:43.000
<v Speaker 7>it's shaped kind of like a guitar pick, and it's small,

1:19:43.160 --> 1:19:46.960
<v Speaker 7>it's light, it's very simple. They told me that they

1:19:46.960 --> 1:19:48.880
<v Speaker 7>developed it so that if you have it in your pocket,

1:19:48.920 --> 1:19:50.920
<v Speaker 7>it's not going to ruin the line of your clothing

1:19:51.000 --> 1:19:52.920
<v Speaker 7>or your suit, which I thought was really cool.

1:19:53.320 --> 1:19:58.120
<v Speaker 1>So you know, is it in some looking forward, is

1:19:58.120 --> 1:19:59.080
<v Speaker 1>there a point where it's just.

1:19:59.040 --> 1:20:01.520
<v Speaker 6>Not going to matter because we're not going to need anything.

1:20:01.920 --> 1:20:04.400
<v Speaker 7>Honestly, I think we are going in that direction. Of

1:20:04.439 --> 1:20:07.400
<v Speaker 7>course we can't, you know. Of course, for instance, Tesla

1:20:07.439 --> 1:20:11.000
<v Speaker 7>and Rivian have like credit card sized quote unquote keys

1:20:11.120 --> 1:20:14.479
<v Speaker 7>that you can use to unlock the vehicle. Also, of

1:20:14.600 --> 1:20:18.400
<v Speaker 7>course we have apps that now basically can control a

1:20:18.439 --> 1:20:22.040
<v Speaker 7>lot of vehicles from starting, limp to control and climate, audio,

1:20:22.520 --> 1:20:26.080
<v Speaker 7>windows settings, everything that is great. I mean it's not

1:20:26.120 --> 1:20:29.360
<v Speaker 7>great if you if you lose your phone, or your

1:20:29.400 --> 1:20:32.000
<v Speaker 7>phone's dead, or you break your phone, so there's it's

1:20:32.040 --> 1:20:34.760
<v Speaker 7>not perfect. But to your point, Carol, I think we

1:20:34.800 --> 1:20:35.880
<v Speaker 7>are moving in that direction.

1:20:36.000 --> 1:20:36.320
<v Speaker 14>All right.

1:20:36.320 --> 1:20:38.040
<v Speaker 1>Well I only said that because you said that in

1:20:38.040 --> 1:20:39.240
<v Speaker 1>your story, and that's how you can do.

1:20:40.960 --> 1:20:41.880
<v Speaker 6>All right, tam go.

1:20:42.880 --> 1:20:45.720
<v Speaker 3>Let's move in the direction of food, because Hannah, you

1:20:45.840 --> 1:20:49.400
<v Speaker 3>usually get to write about cars, but sometimes you get

1:20:49.400 --> 1:20:52.880
<v Speaker 3>to write about burgers and grilled cheeses and chili fries.

1:20:53.360 --> 1:20:55.680
<v Speaker 3>And you went to the recent Tesla diner and know

1:20:56.320 --> 1:20:59.080
<v Speaker 3>you were not allowed to park your own rolls Royce

1:21:00.040 --> 1:21:00.760
<v Speaker 3>the Tesla.

1:21:00.479 --> 1:21:05.760
<v Speaker 7>Diner Tesla parking only they do. They do have eighty superchargers,

1:21:05.880 --> 1:21:09.320
<v Speaker 7>which is one of the highest concentrations of superchargers in

1:21:09.360 --> 1:21:12.280
<v Speaker 7>the country. There are a few that are bigger, like

1:21:12.320 --> 1:21:14.360
<v Speaker 7>out in the desert on the way to Vegas I've seen.

1:21:14.680 --> 1:21:17.760
<v Speaker 7>But yeah, this is Tesla parking only, although they will

1:21:17.840 --> 1:21:20.439
<v Speaker 7>valet your car or you can street park like I did.

1:21:21.280 --> 1:21:26.840
<v Speaker 7>So how was it, Well, it was really an experience.

1:21:27.000 --> 1:21:30.360
<v Speaker 7>Let me tell you. If you are a Tesla owner

1:21:30.479 --> 1:21:33.599
<v Speaker 7>or a Tesla fan, I think you will find it

1:21:33.680 --> 1:21:40.760
<v Speaker 7>to be really fun. It was really different. I win

1:21:40.840 --> 1:21:43.360
<v Speaker 7>in not knowing what to expect. I will say I

1:21:43.400 --> 1:21:46.479
<v Speaker 7>have driven by many times in the past few days

1:21:46.520 --> 1:21:49.400
<v Speaker 7>and seen a line of people around the block, so

1:21:49.439 --> 1:21:52.880
<v Speaker 7>there is a lot of excitement about this. The diner

1:21:52.960 --> 1:21:58.879
<v Speaker 7>itself looks very jetson zy. It's round, it has neon lights.

1:21:59.200 --> 1:22:02.120
<v Speaker 7>They're playing you know, movies on big screens. It's like

1:22:02.160 --> 1:22:06.200
<v Speaker 7>a drive in actually, so there's a lot to see.

1:22:06.840 --> 1:22:10.320
<v Speaker 7>The food itself was better than I expected. It was

1:22:10.360 --> 1:22:14.559
<v Speaker 7>developed by Eric Greenspan, who was a Cordon Blue trained chef.

1:22:14.840 --> 1:22:18.879
<v Speaker 7>He's had many successful restaurants here in La. He's developed

1:22:18.880 --> 1:22:22.479
<v Speaker 7>his own style of New American cheese, so he is

1:22:22.600 --> 1:22:25.559
<v Speaker 7>really well respected, and I actually ran into him at

1:22:25.560 --> 1:22:30.000
<v Speaker 7>the diner. He was really nice enough to order for me.

1:22:30.320 --> 1:22:34.559
<v Speaker 7>We got an array of sandwiches, including a tunamel, a

1:22:34.600 --> 1:22:39.360
<v Speaker 7>grilled cheese, a hamburger, some chili cheese fries, a coffee,

1:22:40.280 --> 1:22:42.960
<v Speaker 7>and the food was good. Now, I admit I don't

1:22:43.040 --> 1:22:49.440
<v Speaker 7>often eat chili cheese fries, but Eric developed this particular

1:22:49.560 --> 1:22:53.519
<v Speaker 7>Wagu beef style chili cheese fry that he told me

1:22:53.920 --> 1:22:56.160
<v Speaker 7>reminded him of when he was in high school and

1:22:56.200 --> 1:22:58.040
<v Speaker 7>he would have a cheat day on his diet and

1:22:58.080 --> 1:23:01.160
<v Speaker 7>he would always eat cheese fries chili cheese fries. So

1:23:02.080 --> 1:23:03.640
<v Speaker 7>which was and they were good. They were good. They

1:23:03.640 --> 1:23:06.400
<v Speaker 7>were very like down home comfort. No sell it on

1:23:06.439 --> 1:23:09.559
<v Speaker 7>the menu, you know, I might have missed that, but

1:23:09.880 --> 1:23:13.120
<v Speaker 7>none that I saw. The whole idea here is it's

1:23:13.160 --> 1:23:15.800
<v Speaker 7>an American drive and diner, like the kind you saw

1:23:15.840 --> 1:23:16.879
<v Speaker 7>in the fifties and sixties.

1:23:16.960 --> 1:23:18.400
<v Speaker 6>Is it gonna make people buy a Tesla?

1:23:18.600 --> 1:23:21.280
<v Speaker 7>Oh, that's a good question. I don't think so. I

1:23:21.280 --> 1:23:24.639
<v Speaker 7>don't think so. This feels to me more like Tesla

1:23:24.760 --> 1:23:27.559
<v Speaker 7>is celebrating the people who are already in love with

1:23:27.600 --> 1:23:30.400
<v Speaker 7>the brand, and I do think that is really admirable.

1:23:31.680 --> 1:23:34.200
<v Speaker 7>I you know, I love the idea of an automotive

1:23:34.200 --> 1:23:36.840
<v Speaker 7>brand spending a lot of money and resources and time

1:23:36.920 --> 1:23:41.479
<v Speaker 7>to celebrate its owners. And Tesla has extremely dedicated owners,

1:23:41.760 --> 1:23:44.760
<v Speaker 7>especially considering everything that the company itself has been through

1:23:44.760 --> 1:23:47.880
<v Speaker 7>in recent months. You know, it's really suffered in terms

1:23:47.920 --> 1:23:50.400
<v Speaker 7>of sales and revenue and profits and earnings and all that.

1:23:51.120 --> 1:23:55.080
<v Speaker 7>So it's great for people who lef Tesla. And honestly,

1:23:55.640 --> 1:23:57.600
<v Speaker 7>I would go back and get a burger if the

1:23:57.640 --> 1:23:59.240
<v Speaker 7>line was if I didn't have to wait in line.

1:23:59.360 --> 1:24:02.040
<v Speaker 7>That's really the The line now is really long.

1:24:02.240 --> 1:24:04.960
<v Speaker 3>What about the Optimist robot? Isn't that supposed to make

1:24:05.000 --> 1:24:06.120
<v Speaker 3>things move more smoothly?

1:24:06.479 --> 1:24:10.479
<v Speaker 7>Yeah, well, Optimism was not present my friends and I

1:24:10.600 --> 1:24:14.960
<v Speaker 7>did ask, and I was told that, uh, optimis is

1:24:15.000 --> 1:24:15.559
<v Speaker 7>on a break.

1:24:16.080 --> 1:24:17.600
<v Speaker 3>I thought those a whole point of robots is they

1:24:17.600 --> 1:24:19.439
<v Speaker 3>didn't need to take breaks. You don't need to pay them,

1:24:19.439 --> 1:24:21.160
<v Speaker 3>they don't need to sleep. Come on, I know.

1:24:21.280 --> 1:24:24.680
<v Speaker 7>And I did also ask, now was somebody else operating

1:24:24.800 --> 1:24:29.679
<v Speaker 7>optimists you know remotely? And I got a no comment,

1:24:29.920 --> 1:24:32.760
<v Speaker 7>So you know that that might have been brought out

1:24:32.760 --> 1:24:35.200
<v Speaker 7>to sort of generate some buzz at the start of

1:24:35.240 --> 1:24:39.960
<v Speaker 7>the at the opening, but no, unfortunately Optimist was not there.

1:24:40.439 --> 1:24:42.439
<v Speaker 6>H yeah, I can't.

1:24:42.479 --> 1:24:45.640
<v Speaker 7>Yeah, but I would say, honestly, the sleeper hit of

1:24:45.760 --> 1:24:50.200
<v Speaker 7>the diner menu is the tuna melt. I yeah, like,

1:24:50.760 --> 1:24:54.400
<v Speaker 7>not something I would normally go for, but it was great.

1:24:54.479 --> 1:24:56.559
<v Speaker 6>We're heading to the West Coast for a work trip

1:24:56.600 --> 1:25:00.240
<v Speaker 6>in the falls. Maybe yeah, maybe take a week? Wait,

1:25:00.240 --> 1:25:02.759
<v Speaker 6>can we take away Mode diner?

1:25:03.000 --> 1:25:04.000
<v Speaker 7>That's a great idea.

1:25:04.360 --> 1:25:07.200
<v Speaker 3>I love that they would not. As long as Elon

1:25:07.240 --> 1:25:09.680
<v Speaker 3>doesn't see you, I think you'd be okay, limeblt you

1:25:09.680 --> 1:25:10.320
<v Speaker 3>did ask?

1:25:10.479 --> 1:25:12.720
<v Speaker 7>I did ask Eric, has Elon been by it? And

1:25:12.760 --> 1:25:15.040
<v Speaker 7>he said that he had been, But I feel like

1:25:15.080 --> 1:25:17.200
<v Speaker 7>we would have heard about it, so maybe he went

1:25:17.600 --> 1:25:18.479
<v Speaker 7>by before it open.

1:25:18.600 --> 1:25:19.000
<v Speaker 14>I don't know.

1:25:20.080 --> 1:25:22.599
<v Speaker 6>Yeah, we'll keep an eye on it right Oh.

1:25:22.680 --> 1:25:26.280
<v Speaker 3>Thanks to Hannah Elliott, a Bloomberg News auto columnist, also

1:25:26.720 --> 1:25:29.759
<v Speaker 3>diner expert and knows everything about Keith Fobs.

1:25:29.800 --> 1:25:31.720
<v Speaker 6>Got to say that story. Both those stories are fun,

1:25:31.800 --> 1:25:32.360
<v Speaker 6>fun reads.

1:25:32.640 --> 1:25:35.000
<v Speaker 1>That wraps up our weekend edition of Bloomberg Business Week

1:25:35.000 --> 1:25:35.760
<v Speaker 1>from Bloomberg Radio.

1:25:35.800 --> 1:25:36.880
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<v Speaker 3>I'm Tim Stunnoberk and I'm Carol Masser.

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