WEBVTT - Stocks Push Higher and Warner Brothers Plunges

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<v Speaker 1>From Marhart where Innovation, Money and power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed.

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<v Speaker 3>Ludlove live from San Francisco. This is Bloomberg Technology coming

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<v Speaker 3>up full markets, courage ahead as stocks push higher amid

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<v Speaker 3>fading recession fears, plus Warner Brothers plunges after a nine

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<v Speaker 3>point one billion dollar right down and after spending nearly

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<v Speaker 3>sixty days in space, NASA is working on a contingency

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<v Speaker 3>plan to bring the star Liner crew home. Let's get

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<v Speaker 3>right to financial markets, and I'm looking at them as

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<v Speaker 3>that one hundred on a four day basis, it's interesting

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<v Speaker 3>what's happening in the long run. That's actually Warner Brothers Discovery.

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<v Speaker 3>So let's go there. Then that's a nice story for

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<v Speaker 3>the day. We're down nine point three percent, nine point

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<v Speaker 3>four percent. Look, the story is really clear. Nine point

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<v Speaker 3>one billion dollar write down on the legacy TV networks.

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<v Speaker 3>And the issue with that, or the story with that,

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<v Speaker 3>is traditional linear TV is not valued as it was

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<v Speaker 3>when Warner Brothers merged with Discovery because everyone's gone to streaming.

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<v Speaker 3>Let's bring in Bloomberg's Hannah Miller, who's been covering the

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<v Speaker 3>story and Hannah, it's a big number, it's overshadowed earnings

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<v Speaker 3>and things aren't going particularly well. Give me the specifics

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<v Speaker 3>of the write down and the reasons behind it. Yeah.

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<v Speaker 4>So, basically, what CEO David Zaslav discussed on the earnings

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<v Speaker 4>car was that things have drastically changed in the media landscape.

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<v Speaker 4>Valuations are different, market conditions are different, and this is

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<v Speaker 4>a more realistic value for their traditional TV networks, and

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<v Speaker 4>this is a signal to other major media companies to

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<v Speaker 4>maybe take a look at their own traditional TV holdings

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<v Speaker 4>and see if they too are of valued.

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<v Speaker 3>I want to really focus on the technology story within it,

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<v Speaker 3>which I think is everyone went to streaming and so

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<v Speaker 3>they were left with properties that just weren't worth what

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<v Speaker 3>they were at the time. The other issue for Warner

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<v Speaker 3>Brothers Discovery, of course Hannah has been now down eleven

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<v Speaker 3>percent in the session, is what happened with sports rights

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<v Speaker 3>and MBA. That was a point of discussion. Just update

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<v Speaker 3>us on what's going on.

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<v Speaker 4>Yeah, So what happened with Warner Brothers was that they

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<v Speaker 4>missed out on a seventy six billion dollar deal to

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<v Speaker 4>get media rights for NBA games starting for the twenty

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<v Speaker 4>twenty five to twenty twenty sixth season. They are now

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<v Speaker 4>suing the NBA alleging breach of contract. That lawsuit was

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<v Speaker 4>mentioned briefly during the call, with Zaslov saying that they

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<v Speaker 4>are confident in their position and it's in the hands

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<v Speaker 4>of lawyers right now.

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<v Speaker 3>Bloomberg's Hannah Miller a really interesting story, big market move.

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<v Speaker 3>Thank you for keeving us up to date on it.

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<v Speaker 3>Now let's get back to financial markets and bring in

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<v Speaker 3>Sarah ketro Causeway, CEO, Fundamental Portfolio Manager. About forty nine

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<v Speaker 3>billion dollars of assets under management, and we're trying to

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<v Speaker 3>work out in aggregate what's going on. And as that

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<v Speaker 3>one hundred has been an interesting index to track this week,

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<v Speaker 3>the sort of anxiety of Monday faded on a weekly basis.

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<v Speaker 3>We're still soft to eight tens to one percent. You've

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<v Speaker 3>got concerns about growth. Then we've got some economic data

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<v Speaker 3>this morning that makes us feel that maybe recession risks

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<v Speaker 3>are fading and we have a clearer picture on the FED.

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<v Speaker 3>When you woke up this morning, Sarah, what was your

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<v Speaker 3>picture of financial markets?

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<v Speaker 2>Well, it was about the same as it was yesterday,

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<v Speaker 2>which is reasonably optimistic and that's a function of again

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<v Speaker 2>so much liquidity added to the US and global economies during, during,

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<v Speaker 2>and after the pandemic, and much of this is still

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<v Speaker 2>working through the system. But we have still a very

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<v Speaker 2>strong consumer in the US. It's labors holding up, wages

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<v Speaker 2>are holding up. There isn't no reason to panic, even

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<v Speaker 2>though markets do that from time to time. So we're

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<v Speaker 2>looking forward to some good earnings from our companies and

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<v Speaker 2>for those, for example in technology where they depend on

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<v Speaker 2>industrial production to be well placed.

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<v Speaker 3>Thank you for bringing it back to technology. This is

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<v Speaker 3>Bloomberg Technology after all. I mean, it's interesting you go

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<v Speaker 3>to earnings. The story was really clear from the hyperscalis

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<v Speaker 3>in particular right the commitment to capital expenditures for AI infrastructure.

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<v Speaker 3>Maybe in Microsoft's case, you learn the lesson that you

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<v Speaker 3>just don't miss street estimates in this environment. How selective

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<v Speaker 3>are you being within that group of hyperscalers or other

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<v Speaker 3>names that we're so focused on around the AI story.

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<v Speaker 2>Well, the AI story is like and this has been

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<v Speaker 2>well encapsulated on our website. Bar Our Workflolow, manager for Telecommunications,

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<v Speaker 2>Media and Technology, Brian Show and that there are three

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<v Speaker 2>cycles and this first one building is all about the

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<v Speaker 2>building basic building blocks, meeting semiconductors, and you certainly saw

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<v Speaker 2>that n Nvidia boom, but the memory semiconductor stocks have

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<v Speaker 2>had a big run too, as they should, they've had

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<v Speaker 2>to pull back.

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<v Speaker 5>They're very interesting.

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<v Speaker 2>And then to your point about the hyperscalers, they're absolutely

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<v Speaker 2>critical in the next phase, which is delivery, so we

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<v Speaker 2>need them to build out the cloud infrastructure. And they're

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<v Speaker 2>also this is true of the ones that we as

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<v Speaker 2>value investors prefer, like Alphabet and Meta. They're benefiting from

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<v Speaker 2>their use of AI as they get more customer engagement

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<v Speaker 2>and a hyperscaler like Alphabet. Not only do they have

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<v Speaker 2>tremendous they can look forward to in phase three the deployment.

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<v Speaker 5>Getting enterprises on cloud.

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<v Speaker 2>They enterprise must have massive cloud access because they have

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<v Speaker 2>so much compute needs with the data.

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<v Speaker 3>Monday was a global market event in the sense that

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<v Speaker 3>it started in the Asian session, went to Europe and

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<v Speaker 3>then to the United States, but it also shone a

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<v Speaker 3>light on Taiwan and Korea those markets, and when I

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<v Speaker 3>was looking at your holding, Samsung really jumps out. You

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<v Speaker 3>have a particularly strong view on Samsung. Explain the thesis

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<v Speaker 3>there and where it sits in your holdings.

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<v Speaker 2>Well, you're correct, and Samsung is one of our in

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<v Speaker 2>both our International and Global fund, one of our largest holdings.

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<v Speaker 2>And the reason why is it Samsung trades it very

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<v Speaker 2>reasonable multiples. It's trading somewhere around book value. Either could

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<v Speaker 2>get to one and a half times book. But they're

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<v Speaker 2>a major player in memory semiconductors and the need for

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<v Speaker 2>memory as AI compute expands goes up multifold, so memory

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<v Speaker 2>demand rising Inexora belief, which is great for Samsung. In

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<v Speaker 2>d RAM they compete with Skae, Heinex and mic and

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<v Speaker 2>Samsung's on the CUSP we think of a major breakthrough

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<v Speaker 2>and high bandwid memory, so they will be able to

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<v Speaker 2>provide the more advanced memory chips. And all this emphasis

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<v Speaker 2>on high bend with put some pressure on regular DRAMs,

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<v Speaker 2>so there's some shortages.

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<v Speaker 5>We'd like to see this.

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<v Speaker 2>So the supply demand balance is very much in favor

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<v Speaker 2>of less supply and more demand.

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<v Speaker 5>Good for pricing. So Samsung's well placed their plus in.

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<v Speaker 2>This phase three of delivery they've got or in phase

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<v Speaker 2>two in deployment. There they are with mobile phones that'll

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<v Speaker 2>be AI enabled, so those Galaxy phones should fly off

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<v Speaker 2>the shelf. They have other consumer electronics, they're in foundry

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<v Speaker 2>and display, like Samsung has it all.

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<v Speaker 3>It's really interesting to hear you outline that we've done

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<v Speaker 3>quite a lot on the show about high bandwidth memory

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<v Speaker 3>and that if there's going to be this ramp and

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<v Speaker 3>expansion of AI accelerator driven growth, you have to have

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<v Speaker 3>the corresponding high bandwidth memory. But we've not discussed as

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<v Speaker 3>much with the investor base. Sticking with chips, you also

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<v Speaker 3>are interested in some of the more cyclical areas automotive industrial.

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<v Speaker 3>I look at some of the names that are outside

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<v Speaker 3>the United States, Infinian renaissance over in Japan. Why is

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<v Speaker 3>it that you like that area?

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<v Speaker 5>Well, automotives.

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<v Speaker 2>Maybe there's been a slowing of auto sales, but the

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<v Speaker 2>SAR doesn't matter as much as the content That matters.

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<v Speaker 2>Chip content, and these automotive related semiconductors and Samsung and

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<v Speaker 2>rhanasas Samsung, German NASAs Japan are experts.

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<v Speaker 1>In that area.

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<v Speaker 5>So we're expecting them.

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<v Speaker 2>To see again content growth overwhelm or be more important

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<v Speaker 2>than overall auto sales borrowing a recession, and we're not

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<v Speaker 2>expecting one anytime soon. But they're also very strong in

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<v Speaker 2>industrial chips and to see that in industrial automation and

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<v Speaker 2>then think about data center and the need for power regulation.

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<v Speaker 2>They're both really well placed there and those stocks have

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<v Speaker 2>fallen some thirty plus percent over the last one month.

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<v Speaker 2>In the case is Rhanasus, so the value is there

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<v Speaker 2>as well, so you get the under valuation and the

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<v Speaker 2>growth upside. It's a great combination.

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<v Speaker 3>Sarah Ketterer. Of course, where it's really good to have

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<v Speaker 3>you here on Bloomberg Technology. Thank you for joining us

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<v Speaker 3>and that focus on chips in particular. Okay, coming up

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<v Speaker 3>on the show, we're going to be joined by the

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<v Speaker 3>next Door CEO, Nivtalia on the company's earnings, but also

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<v Speaker 3>this overhaul of Nextdoor the social network. Next that's next. Next?

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<v Speaker 3>What who shares of Bumble? Have you seen?

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<v Speaker 2>This?

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<v Speaker 3>Dating is over? The stock is down the most on record,

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<v Speaker 3>are a really severe cut to its outlook. There are

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<v Speaker 3>some specific or idiosyncratic factors relating to Bumble and its

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<v Speaker 3>properties within that, but it's a pretty grim look for

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<v Speaker 3>the data environment or apt base dating and you look

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<v Speaker 3>at the stop year to date down more than sixty percent.

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<v Speaker 3>It's a name that will continue to track. This is

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<v Speaker 3>Bloomberg Technology. Okay. Next doors second quarter revenue beat analyst estimates,

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<v Speaker 3>and the company projected stronger than expected sales growth, pointing

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<v Speaker 3>to improvements in the company's AD technology as a key

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<v Speaker 3>driver of sales, and it's CEO announced plans for a

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<v Speaker 3>quote complete transformation of Nextdoor's core social network. Delighted to

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<v Speaker 3>say that the CEO near rev Talia, is here with

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<v Speaker 3>us on set in San Francisco. This is interesting. Let's

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<v Speaker 3>go through the financial stuff and then we'll get into

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<v Speaker 3>the platform itself. It's kind of high single digits growth

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<v Speaker 3>on the user base side, and then you talked a

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<v Speaker 3>lot about where the AD growth is, but just the

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<v Speaker 3>fact is behind both of.

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<v Speaker 6>Pieces of growth.

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<v Speaker 3>Sure, why is that happening?

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<v Speaker 7>Yeah, thank you for having me, by the way, it's

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<v Speaker 7>great to be here with you, Ed, And let me

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<v Speaker 7>just go through the numbers very quickly, because we had

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<v Speaker 7>a very solid and productive quarter. So on the revenue side,

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<v Speaker 7>we grew eleven percent year over year, so the first

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<v Speaker 7>time in a few quarters that we're returning to double

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<v Speaker 7>digit guests that.

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<v Speaker 6>We feel really good about.

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<v Speaker 7>On the user side, over forty five million weekly active users.

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<v Speaker 7>That represents eight percent year over year growth and then

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<v Speaker 7>on the bottom line a loss of six million dollars,

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<v Speaker 7>which represents twenty three points of adjustitebat margin improvement. So

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<v Speaker 7>on all three of those vectors, we feel very good

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<v Speaker 7>about our performance in Q two, and we also announced

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<v Speaker 7>that we raised guidance for the rest of the year.

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<v Speaker 7>So solid execution and we're looking towards the future now

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<v Speaker 7>for the real potential of the company.

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<v Speaker 3>So let's define complete transformation. You know there's been change

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<v Speaker 3>a next Door, a change with you, A.

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<v Speaker 7>Complete transformation of leadership.

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<v Speaker 3>Yes, complete transformation leadership in a return, But what is

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<v Speaker 3>it that you think that the actual platform will get

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<v Speaker 3>to advertising? The actual platform needs to be different or

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<v Speaker 3>do differently.

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<v Speaker 7>Nextdoor has an amazing opportunity. We want to be the

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<v Speaker 7>essential neighborhood network because we think local is so core

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<v Speaker 7>to everyone's life. It's so important that we have rich

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<v Speaker 7>local lives, and that is the opportunity for Nextdoor as

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<v Speaker 7>a consumer internet company. But our potential is not reflected

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<v Speaker 7>today in the quality of our product. So when we

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<v Speaker 7>talk about complete transformation, we're talking about making the product

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<v Speaker 7>so good that every time our users and advertisers visit.

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<v Speaker 6>They're delighted.

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<v Speaker 7>We have an extremely high bar, very high expectations, and

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<v Speaker 7>so it seems a little over the top to say

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<v Speaker 7>complete transformation. But we're setting our sites extremely high because

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<v Speaker 7>we think we can reach that potential.

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<v Speaker 3>There will be loads of people watching the program bloom,

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<v Speaker 3>both technology audience, who who might be on next Door.

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<v Speaker 3>My wife and I bought our first home in March

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<v Speaker 3>of this year.

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<v Speaker 7>Ninety million verified neighbors.

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<v Speaker 3>But that's my point that we were used for a

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<v Speaker 3>specific neighborhood and we wanted to learn about what was

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<v Speaker 3>going on. That makes sense to go to next door,

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<v Speaker 3>But I still look at scale, you know, compared to

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<v Speaker 3>other social media platforms, quite small. How do you take

0:13:17.400 --> 0:13:21.160
<v Speaker 3>it to another order of magnitude greater bring in people

0:13:21.200 --> 0:13:22.000
<v Speaker 3>for the first time.

0:13:22.120 --> 0:13:24.240
<v Speaker 7>It's a great question. So Nextdoor has been around for

0:13:24.280 --> 0:13:27.680
<v Speaker 7>fourteen years and as I mentioned, almost ninety five million

0:13:27.760 --> 0:13:30.760
<v Speaker 7>verified neighbors in eleven countries around the world, So yes,

0:13:30.920 --> 0:13:34.160
<v Speaker 7>we have some good scale. Primarily Nextdoor has been known

0:13:34.240 --> 0:13:35.600
<v Speaker 7>for utility, so we.

0:13:35.520 --> 0:13:37.119
<v Speaker 6>Call ourselves a social media.

0:13:36.880 --> 0:13:40.480
<v Speaker 7>Product, but it's really about solving your everyday problems around

0:13:40.480 --> 0:13:42.840
<v Speaker 7>local You have a home, it's one of your most

0:13:42.880 --> 0:13:45.600
<v Speaker 7>important financial assets, and you want to protect that you

0:13:45.640 --> 0:13:47.280
<v Speaker 7>want to make sure that you feel safe, you want

0:13:47.280 --> 0:13:49.080
<v Speaker 7>to make sure that you're happy at home, and so

0:13:49.240 --> 0:13:52.559
<v Speaker 7>Nextdoor primarily has been used around things like I need

0:13:52.559 --> 0:13:54.760
<v Speaker 7>a babysitter, Okay, I need a plumber. I want to

0:13:54.800 --> 0:13:56.960
<v Speaker 7>make sure that my home is kept up to date.

0:13:57.200 --> 0:13:59.640
<v Speaker 7>I want to feel safe in a crisis, whether it's

0:14:00.160 --> 0:14:03.120
<v Speaker 7>natural disaster, whether there's a spate of crime, I've lost

0:14:03.160 --> 0:14:06.200
<v Speaker 7>a pet. These are really important use cases that people

0:14:06.280 --> 0:14:10.120
<v Speaker 7>rely on nextdoor for every single day. But we typically

0:14:10.120 --> 0:14:13.760
<v Speaker 7>thought we talk about weekly active users. Now the other

0:14:13.840 --> 0:14:17.280
<v Speaker 7>social media services that you're talking about, they typically talk.

0:14:17.120 --> 0:14:18.880
<v Speaker 6>About daily active uses.

0:14:19.080 --> 0:14:21.480
<v Speaker 7>So the question for us is what can we do

0:14:21.640 --> 0:14:24.680
<v Speaker 7>to ensure that we are delivering value to our users

0:14:24.960 --> 0:14:29.000
<v Speaker 7>on a daily basis, not just lost pets and service

0:14:29.040 --> 0:14:32.920
<v Speaker 7>providers and times of crisis, which are absolutely indispensable and

0:14:32.960 --> 0:14:36.080
<v Speaker 7>Nextdoor can be a lifeline, but on a daily basis,

0:14:36.280 --> 0:14:38.280
<v Speaker 7>how can we make your local life better.

0:14:38.600 --> 0:14:41.280
<v Speaker 3>That's the part of the story being investment in ad

0:14:41.280 --> 0:14:45.000
<v Speaker 3>technology sort of improving the value against that use best

0:14:45.080 --> 0:14:47.640
<v Speaker 3>ne rev Tellier, next Door CEO and co founder, thank

0:14:47.640 --> 0:14:50.320
<v Speaker 3>you so much. Let's stick with earnings. Retail trading Darling

0:14:50.400 --> 0:14:53.920
<v Speaker 3>Robin Hood extended its growth into the second quarter despite

0:14:53.920 --> 0:14:56.960
<v Speaker 3>a drop off in crypto activity. The company reporting five

0:14:57.000 --> 0:15:00.520
<v Speaker 3>billion dollars in net new deposits as it expands it's

0:15:00.600 --> 0:15:03.920
<v Speaker 3>products pipeline. Robin Hood, co founder and CEO of lad Tenev,

0:15:04.120 --> 0:15:06.840
<v Speaker 3>joined Bloomberg Open interest earlier this morning. Listen to this.

0:15:08.200 --> 0:15:12.160
<v Speaker 8>We shared in the earnings call that July volumes were

0:15:12.360 --> 0:15:16.600
<v Speaker 8>about twenty percent higher than what we reported across June.

0:15:17.040 --> 0:15:21.680
<v Speaker 8>August has continued very much the same one billion in

0:15:21.760 --> 0:15:24.840
<v Speaker 8>net deposits in the first week. About half a billion

0:15:24.880 --> 0:15:28.520
<v Speaker 8>of that came this Monday, and the overnight session for

0:15:28.560 --> 0:15:31.800
<v Speaker 8>twenty four hour market on Sunday night was about three

0:15:32.240 --> 0:15:36.520
<v Speaker 8>x a typical day. So twenty four hour markets have

0:15:36.680 --> 0:15:41.200
<v Speaker 8>just been ripping and customers tend to be buying the dip.

0:15:41.280 --> 0:15:45.400
<v Speaker 8>They're more buyers than sellers, which we think is a

0:15:45.440 --> 0:15:47.760
<v Speaker 8>really good sign for the health of the retail market.

0:15:48.080 --> 0:15:53.360
<v Speaker 9>We saw on Monday morning vlad as the market's kind

0:15:53.360 --> 0:15:56.120
<v Speaker 9>of tanked and there was a lot of fear out there.

0:15:56.440 --> 0:16:00.400
<v Speaker 9>Some of the more traditional, your more traditional competitors have

0:16:00.560 --> 0:16:04.080
<v Speaker 9>problems with logins, and obviously it makes customers very angry,

0:16:04.160 --> 0:16:05.720
<v Speaker 9>especially if they want to get in there and buy

0:16:05.720 --> 0:16:08.280
<v Speaker 9>the dip when it's at five percent and it could

0:16:08.360 --> 0:16:11.800
<v Speaker 9>lose opportunity any minute that goes by. How did your

0:16:11.960 --> 0:16:18.000
<v Speaker 9>technology hold up during during those those shutdowns on other platforms.

0:16:18.960 --> 0:16:21.440
<v Speaker 8>Our technology is strong. You know, We've made a lot

0:16:21.440 --> 0:16:25.080
<v Speaker 8>of investments. We were fortunate not to have any issues

0:16:25.120 --> 0:16:28.920
<v Speaker 8>of a significant nature when all of the competitors were

0:16:28.960 --> 0:16:33.120
<v Speaker 8>down and a lot of customers were actually looking to

0:16:33.200 --> 0:16:36.880
<v Speaker 8>Robinhood and we've we've had challenges in the past, no

0:16:36.960 --> 0:16:39.920
<v Speaker 8>doubt about that, but that's hardened the company, hardened the

0:16:39.920 --> 0:16:45.200
<v Speaker 8>infrastructure and now when we see high volumes, were ready

0:16:45.200 --> 0:16:47.680
<v Speaker 8>for it. So we were happy to see customers moving

0:16:47.680 --> 0:16:52.120
<v Speaker 8>to Robinhood and kind of pointing to us as one

0:16:52.120 --> 0:16:55.840
<v Speaker 8>of the most reliable platforms doing during this recent bout

0:16:55.840 --> 0:16:57.240
<v Speaker 8>of volatility.

0:16:57.920 --> 0:17:00.760
<v Speaker 3>That was robin Hood. See I've lad Now coming up

0:17:00.760 --> 0:17:03.920
<v Speaker 3>from the show, Joe ben Bevitt, CEO of Joby, joins

0:17:04.040 --> 0:17:07.639
<v Speaker 3>us to discuss ev toll expansion in that company's earnings.

0:17:07.640 --> 0:17:29.840
<v Speaker 3>That conversation coming up next. This is Bloomberg Technology time

0:17:29.920 --> 0:17:32.639
<v Speaker 3>for Talking Tech and first stup defense tech startup and

0:17:32.720 --> 0:17:35.520
<v Speaker 3>a reil has raised one point five billion dollars in

0:17:35.560 --> 0:17:40.080
<v Speaker 3>a new funding round, valuing the company at fourteen billion dollars.

0:17:40.119 --> 0:17:43.080
<v Speaker 3>Andreel says it plans to spend hundreds of millions of

0:17:43.119 --> 0:17:47.160
<v Speaker 3>dollars on a new facility to ramp up manufacturing of rockets,

0:17:47.440 --> 0:17:53.119
<v Speaker 3>underwater vehicles, and other autonomous weapons. Plus, Microsoft and Palenteer

0:17:53.440 --> 0:17:56.480
<v Speaker 3>are set to combine their government cloud computing and AI

0:17:56.600 --> 0:17:59.760
<v Speaker 3>tools in an effort to sell software to US defense

0:18:00.040 --> 0:18:03.080
<v Speaker 3>and intelligence agencies. As part of the agreement, Pananteer will

0:18:03.119 --> 0:18:07.360
<v Speaker 3>integrate its products with microshofts Azure cloud services and allows

0:18:07.440 --> 0:18:11.880
<v Speaker 3>open AI implementation into tools that are meant for confidential use.

0:18:12.200 --> 0:18:15.520
<v Speaker 3>And Meta sold ten point five billion dollars of investment

0:18:15.600 --> 0:18:19.120
<v Speaker 3>grade bonds, boosting the company's cash pile as it spends

0:18:19.160 --> 0:18:22.280
<v Speaker 3>heavily on AI. According to Bloomberg Data, the deal is

0:18:22.320 --> 0:18:25.680
<v Speaker 3>the company's largest ever debt sale to date. Meta made

0:18:25.720 --> 0:18:29.080
<v Speaker 3>its bond debut back in twenty twenty two, selling ten

0:18:29.119 --> 0:18:32.720
<v Speaker 3>billion dollars. All right, let's stick with earnings. Joby reported

0:18:32.760 --> 0:18:35.600
<v Speaker 3>after the closing bell on Wednesday, there's some important news

0:18:35.600 --> 0:18:38.280
<v Speaker 3>about Dubai. I'm delighted to bring in Joe ben Bevitt,

0:18:38.400 --> 0:18:41.320
<v Speaker 3>CEO of Joby, and I just want to get right

0:18:41.359 --> 0:18:44.000
<v Speaker 3>to that Dubai project. You and I have spoken so

0:18:44.080 --> 0:18:46.600
<v Speaker 3>many times over the years where I ask you, when

0:18:46.640 --> 0:18:48.879
<v Speaker 3>are we going to see a joby fly and where,

0:18:49.000 --> 0:18:52.840
<v Speaker 3>and it seems like you're closer to answering that absolutely.

0:18:53.200 --> 0:18:56.280
<v Speaker 10>First, thank you so much for inviting me. I'm here

0:18:56.280 --> 0:18:58.919
<v Speaker 10>in our flight test facility in Marina, California. It's amazing

0:18:58.920 --> 0:19:02.159
<v Speaker 10>to be with you on Dubai. We're so excited. We're

0:19:02.200 --> 0:19:07.639
<v Speaker 10>sprinting to the across the line where we've got incredible support,

0:19:07.680 --> 0:19:12.800
<v Speaker 10>a six year exclusive in Dubai to provide Eric taxi service,

0:19:13.240 --> 0:19:16.560
<v Speaker 10>and our target is to launch that service by the

0:19:16.640 --> 0:19:20.040
<v Speaker 10>end of next year. Really really pleased with the progress

0:19:20.080 --> 0:19:23.760
<v Speaker 10>that we're making, and again, thank you for being having

0:19:23.880 --> 0:19:24.560
<v Speaker 10>us today.

0:19:25.880 --> 0:19:29.280
<v Speaker 3>Joe Ben. You know I'm really interested in the business

0:19:29.280 --> 0:19:32.800
<v Speaker 3>model long term. You know that I also take a

0:19:32.920 --> 0:19:37.280
<v Speaker 3>microscope to your financials, your losses and sort of cash

0:19:37.320 --> 0:19:41.000
<v Speaker 3>burner at pace with the streets expectations. Just explain the

0:19:41.040 --> 0:19:44.399
<v Speaker 3>timeline of how that changes and when you start becoming

0:19:44.480 --> 0:19:45.920
<v Speaker 3>meaningfully revenue generating.

0:19:47.280 --> 0:19:48.080
<v Speaker 6>Yeah, so thank you.

0:19:48.080 --> 0:19:53.520
<v Speaker 10>We are executing exactly to plan, and we have a

0:19:54.000 --> 0:19:59.240
<v Speaker 10>very rigorous financial discipline. We are methodically ramping our production.

0:19:59.320 --> 0:20:03.040
<v Speaker 10>We just announced that we had rolled the third aircraft

0:20:03.040 --> 0:20:05.480
<v Speaker 10>off our pilot manufacturing line, and we have the fourth

0:20:05.520 --> 0:20:09.479
<v Speaker 10>and fifth coming along quickly behind. We're going to have

0:20:10.000 --> 0:20:14.080
<v Speaker 10>four aircraft in our flight test program as we're driving certification,

0:20:15.520 --> 0:20:19.480
<v Speaker 10>and we've completed the first three stages of certification with

0:20:19.560 --> 0:20:24.919
<v Speaker 10>the FA and we're now working on the fourth stage

0:20:24.920 --> 0:20:27.800
<v Speaker 10>where we've announced that we're thirty seven percent complete there,

0:20:28.160 --> 0:20:32.080
<v Speaker 10>so as we move into commercialization, we can begin to

0:20:32.640 --> 0:20:38.280
<v Speaker 10>generate meaningful revenues and reduced the cash burn on the company.

0:20:38.600 --> 0:20:41.879
<v Speaker 6>So very very pleased with progress.

0:20:41.680 --> 0:20:48.080
<v Speaker 3>Joe Ben, Is America moving fast enough on EV toll America?

0:20:48.200 --> 0:20:53.080
<v Speaker 10>Absolutely, We're We have incredible bipartisan support in Washington, d C.

0:20:53.600 --> 0:20:58.160
<v Speaker 10>And this last year we were invited to New York

0:20:58.880 --> 0:21:02.200
<v Speaker 10>where we were able to fly our air taxi in

0:21:03.000 --> 0:21:04.680
<v Speaker 10>New York City from the Wall Street Helipad.

0:21:04.680 --> 0:21:07.560
<v Speaker 6>It was, you know, dream come true for me.

0:21:07.880 --> 0:21:10.439
<v Speaker 10>I've been working on this for many, many years and

0:21:10.720 --> 0:21:17.959
<v Speaker 10>seeing the age of clean, quiet, emissions, free propuls aircraft

0:21:18.760 --> 0:21:21.960
<v Speaker 10>being able to fly in a city like New York

0:21:22.040 --> 0:21:25.000
<v Speaker 10>is really exciting. We have an incredible partnership with Delta

0:21:25.000 --> 0:21:28.440
<v Speaker 10>Airlines and we're working to build with the port authority

0:21:28.440 --> 0:21:32.440
<v Speaker 10>to build best in class infrastructure at New York and

0:21:32.480 --> 0:21:34.760
<v Speaker 10>LaGuardia or New York JFK and Loguardia.

0:21:35.480 --> 0:21:37.840
<v Speaker 3>So, Joe Ben, when does that happen? The ability to

0:21:37.880 --> 0:21:40.600
<v Speaker 3>take one of your evy toll from Wall Street to

0:21:40.680 --> 0:21:42.800
<v Speaker 3>an airport in the real.

0:21:42.600 --> 0:21:45.880
<v Speaker 6>World, it's coming very soon.

0:21:46.080 --> 0:21:48.920
<v Speaker 10>Again, we're making great progress with the port authority on

0:21:48.960 --> 0:21:52.320
<v Speaker 10>the permitting of those take off and landing locations connected

0:21:52.560 --> 0:21:54.880
<v Speaker 10>to the Delta hubs. You can get off your Delta

0:21:54.920 --> 0:21:58.159
<v Speaker 10>flight and onto a Jobe flight very seamlessly, and you

0:21:58.200 --> 0:22:03.080
<v Speaker 10>can be in a matter of minutes into Manhattan. So

0:22:03.280 --> 0:22:05.400
<v Speaker 10>we think this is a really exciting opportunity and it's

0:22:05.400 --> 0:22:09.679
<v Speaker 10>coming very very soon, really paced by the speed at

0:22:09.680 --> 0:22:11.920
<v Speaker 10>which we can get that infrastructure built.

0:22:13.240 --> 0:22:15.439
<v Speaker 3>Joe Ben Bevitt CEO, Joe be great to have you

0:22:15.440 --> 0:22:17.760
<v Speaker 3>back here on Bloomberg Technology. Thank you. Now. Coming up

0:22:17.760 --> 0:22:20.720
<v Speaker 3>on the show, we are joined by Andrew Baielecki, the

0:22:20.720 --> 0:22:24.480
<v Speaker 3>co founder and CEO of Klavio, to discuss that company's earnings,

0:22:24.560 --> 0:22:27.760
<v Speaker 3>which were also released after the closing bell on Wednesday.

0:22:28.160 --> 0:22:59.320
<v Speaker 3>This is Bloomberg Technology. Welcome back to Bloombag Technology. Ed

0:22:59.400 --> 0:23:01.639
<v Speaker 3>Ludlow in San Francisco. I want to show you a

0:23:01.720 --> 0:23:04.840
<v Speaker 3>chart that maybe you didn't know you needed. This shows

0:23:05.359 --> 0:23:09.920
<v Speaker 3>normalized performance going back to nineteen ninety nine, with Nvidia

0:23:10.200 --> 0:23:13.880
<v Speaker 3>going in one direction in this session and Monster Beverage Corp.

0:23:13.960 --> 0:23:17.119
<v Speaker 3>Going in the other direction. The point being that Innvidia

0:23:17.200 --> 0:23:22.080
<v Speaker 3>has once again overtaken Monster is the best performing stock

0:23:22.119 --> 0:23:25.560
<v Speaker 3>on the S and P five hundred this century, which

0:23:25.600 --> 0:23:27.879
<v Speaker 3>is an important data point. But I'd also say this

0:23:28.040 --> 0:23:32.720
<v Speaker 3>courtesy of Dan Curtis, our terminal data editor, that think

0:23:32.760 --> 0:23:35.280
<v Speaker 3>about Jensen One, the CEO of Nvidia. He has a

0:23:35.320 --> 0:23:39.119
<v Speaker 3>three point five percent stake in Nvidia. He could buy

0:23:39.680 --> 0:23:43.159
<v Speaker 3>all of Monster Beverage Corp. And every single share and

0:23:43.200 --> 0:23:45.760
<v Speaker 3>still have enough money left over to go out and

0:23:45.760 --> 0:23:49.280
<v Speaker 3>buy another chip company, or even if he wanted Lululemon.

0:23:49.680 --> 0:23:52.240
<v Speaker 3>Some size and scope of the scale of Nvidia, not

0:23:52.359 --> 0:23:56.160
<v Speaker 3>just its performance on a percentage basis, but how it's

0:23:56.200 --> 0:23:58.800
<v Speaker 3>overtaken some of the wildest stock stories we've seen, which

0:23:58.880 --> 0:24:02.920
<v Speaker 3>one of them was until this session, Monster Beverage. Let's

0:24:02.920 --> 0:24:06.200
<v Speaker 3>turn back to the earning story. Klaviy O, the software company,

0:24:06.359 --> 0:24:09.400
<v Speaker 3>reported earnings after the closing bell on Wednesday. Co founder

0:24:09.640 --> 0:24:13.080
<v Speaker 3>and CEO Andrew Bieleeki joins us now for more and

0:24:13.160 --> 0:24:16.000
<v Speaker 3>my goodness, Andrew, look at your stock up twenty seven

0:24:16.119 --> 0:24:21.479
<v Speaker 3>point two five percent, thirty five percent growth on pretty

0:24:21.520 --> 0:24:24.399
<v Speaker 3>decent customer growth. Where would you like to start. This

0:24:24.520 --> 0:24:26.600
<v Speaker 3>is the best day for your stock since you went public.

0:24:27.560 --> 0:24:30.200
<v Speaker 11>Yeah, well, thanks for having us, and thanks to Clavio's

0:24:30.240 --> 0:24:33.440
<v Speaker 11>around the world for a great quarter, really delivering for

0:24:33.480 --> 0:24:36.280
<v Speaker 11>our customers and partners. You know, I'm really excited about

0:24:36.320 --> 0:24:39.240
<v Speaker 11>the one hundred and fifty thousand plus now businesses that

0:24:39.320 --> 0:24:41.520
<v Speaker 11>we serve. We had a bunch of great brands in

0:24:41.520 --> 0:24:47.160
<v Speaker 11>the quarter, Barstool Sports, Hersonal supply Company, and we're really

0:24:47.359 --> 0:24:51.280
<v Speaker 11>what makes Clevio special is we're helping businesses take control

0:24:51.640 --> 0:24:54.879
<v Speaker 11>of their relationships with consumers and then drive revenue. And

0:24:54.920 --> 0:24:56.960
<v Speaker 11>I think when you know the economic environment is a

0:24:57.000 --> 0:25:00.520
<v Speaker 11>little uncertain, software like clevieo becomes a must have.

0:25:01.680 --> 0:25:04.359
<v Speaker 3>So so on it being a must have, it's also

0:25:04.680 --> 0:25:06.359
<v Speaker 3>interesting to look who's on the other side of the

0:25:06.400 --> 0:25:09.520
<v Speaker 3>table for you. You added, like in the call to Sampsonite,

0:25:09.880 --> 0:25:14.120
<v Speaker 3>for example, why does a company like Samsonite need clavier?

0:25:15.680 --> 0:25:18.440
<v Speaker 11>Yeah, So what Clavio Software does is we help pull

0:25:18.480 --> 0:25:21.960
<v Speaker 11>all of a business's data together. So take Samsonite, you know,

0:25:22.160 --> 0:25:25.439
<v Speaker 11>one of the largest luggage travel companies in the world.

0:25:26.240 --> 0:25:29.080
<v Speaker 11>We help them organize that data and then deliver personalized

0:25:29.119 --> 0:25:33.400
<v Speaker 11>experiences across a variety of channels from email to SMS

0:25:33.440 --> 0:25:37.720
<v Speaker 11>to mobile messaging. And because of how well C connects

0:25:37.720 --> 0:25:40.359
<v Speaker 11>with the other systems inside of an organization, and a

0:25:40.359 --> 0:25:42.960
<v Speaker 11>lot of the advanced capabilities, including a lot of the

0:25:43.080 --> 0:25:45.920
<v Speaker 11>AI features we've released in the last few months Clavio AI.

0:25:46.880 --> 0:25:49.320
<v Speaker 11>You know, those two factors are why businesses are choosing

0:25:49.359 --> 0:25:49.919
<v Speaker 11>to work with us.

0:25:49.920 --> 0:25:51.120
<v Speaker 6>Because we're a revenue engine.

0:25:52.240 --> 0:25:55.200
<v Speaker 3>I like to look at geography as well, and it's

0:25:55.280 --> 0:25:59.600
<v Speaker 3>really interesting that the Emia region was continues to kind

0:25:59.600 --> 0:26:02.639
<v Speaker 3>of be a a drive a few Why why is

0:26:02.680 --> 0:26:07.719
<v Speaker 3>that such engagement in Europe and the Middle East and Africa.

0:26:07.880 --> 0:26:10.080
<v Speaker 11>Yeah, So, you know, over the last few years, we've

0:26:10.400 --> 0:26:13.480
<v Speaker 11>you know, we're executing our strategy really well. We've done

0:26:13.480 --> 0:26:16.320
<v Speaker 11>a lot of expansion into Europe and with that, we

0:26:16.400 --> 0:26:19.560
<v Speaker 11>launched our products and a lot of our you know, documentation.

0:26:19.720 --> 0:26:22.199
<v Speaker 11>We've added you know, we went beyond English into French.

0:26:22.840 --> 0:26:26.200
<v Speaker 11>We formally launched in the French region and now we've

0:26:26.320 --> 0:26:27.400
<v Speaker 11>established that playbook.

0:26:27.400 --> 0:26:27.879
<v Speaker 5>It happened.

0:26:27.920 --> 0:26:29.240
<v Speaker 3>You know, we launched in Q two.

0:26:29.400 --> 0:26:31.520
<v Speaker 11>We really like the growth we're seeing, and now we're

0:26:31.520 --> 0:26:33.679
<v Speaker 11>going to take that same playbook and use it across

0:26:33.720 --> 0:26:36.359
<v Speaker 11>the rest of Europe and then extend that around the

0:26:36.359 --> 0:26:38.639
<v Speaker 11>rest of the globe into Asia and other parts of

0:26:38.680 --> 0:26:39.320
<v Speaker 11>the Americas.

0:26:39.840 --> 0:26:41.600
<v Speaker 5>And what we've known for a long time.

0:26:41.480 --> 0:26:44.320
<v Speaker 11>Is there are businesses using Klavio in over eighty countries,

0:26:45.160 --> 0:26:47.360
<v Speaker 11>but we're trying to build a product experience that's really

0:26:47.440 --> 0:26:50.399
<v Speaker 11>native to them and so doing things like expanding our

0:26:50.520 --> 0:26:54.080
<v Speaker 11>SMS capabilities. We've more than doubled the number of countries

0:26:54.119 --> 0:26:55.800
<v Speaker 11>where we now support text messaging.

0:26:56.400 --> 0:26:57.399
<v Speaker 3>We have plans to grow that.

0:26:57.560 --> 0:27:00.359
<v Speaker 11>So really excited about the growth we're seeing international in

0:27:00.400 --> 0:27:01.200
<v Speaker 11>Europe in particular.

0:27:02.080 --> 0:27:05.080
<v Speaker 3>Andrew, you're a Boston based company with fewer than two

0:27:05.160 --> 0:27:09.000
<v Speaker 3>thousand employees. What's the talent story for you right now?

0:27:09.040 --> 0:27:12.760
<v Speaker 3>Particularly in terms of AI and headcount. Many companies are

0:27:12.760 --> 0:27:17.119
<v Speaker 3>actually cutting certain areas to reallocate to areas of growth

0:27:17.160 --> 0:27:20.360
<v Speaker 3>like AI. What's your strategy?

0:27:20.600 --> 0:27:23.200
<v Speaker 11>Well, so, from a you know, from a technology standpoint,

0:27:23.280 --> 0:27:26.320
<v Speaker 11>we are very much believers in using artificial intelligence, both

0:27:26.320 --> 0:27:29.520
<v Speaker 11>for our customers and in for us. So we've seen

0:27:29.560 --> 0:27:32.720
<v Speaker 11>good productivity gains from using AI across Klavio, and we

0:27:32.760 --> 0:27:34.879
<v Speaker 11>invest our own some of our own engineering resources and

0:27:34.920 --> 0:27:38.160
<v Speaker 11>doing that. But in terms of our headcount strategy, we're

0:27:38.240 --> 0:27:40.920
<v Speaker 11>global business, so we look for the best.

0:27:40.720 --> 0:27:42.159
<v Speaker 3>Talent around the world, you know.

0:27:42.200 --> 0:27:44.400
<v Speaker 11>I know we started in Boston, but we have offices

0:27:44.480 --> 0:27:47.800
<v Speaker 11>now in Denver, in San Francisco, and London and Sydney,

0:27:48.080 --> 0:27:50.280
<v Speaker 11>and we're planning to open more over the next few quarters.

0:27:51.080 --> 0:27:53.639
<v Speaker 11>So we look for folks that are really ambitious, we

0:27:53.680 --> 0:27:56.639
<v Speaker 11>say high slope. They want to be learners, and wherever

0:27:56.680 --> 0:27:58.719
<v Speaker 11>that talent is, we want them to, you know, come

0:27:58.800 --> 0:27:59.720
<v Speaker 11>join forces with us.

0:28:01.000 --> 0:28:04.040
<v Speaker 3>Andrew Bielecki, CEO of Clavio, and again Clavio up more

0:28:04.080 --> 0:28:07.560
<v Speaker 3>than twenty seven percent, best days since going public in September.

0:28:07.920 --> 0:28:09.679
<v Speaker 3>Thank you. All right, let's talk a little bit more

0:28:09.680 --> 0:28:13.280
<v Speaker 3>about Europe and tech. Semens posted week sales and a

0:28:13.440 --> 0:28:16.760
<v Speaker 3>drop in new orders for its factory automation business, though

0:28:16.760 --> 0:28:19.119
<v Speaker 3>it did record a jump in software demand in the

0:28:19.160 --> 0:28:22.680
<v Speaker 3>third quarter. Bloombers Guy Johnson our Semen CEO Roland Bush.

0:28:23.040 --> 0:28:26.600
<v Speaker 3>Where the strength to the company's bottom line is coming from.

0:28:26.640 --> 0:28:27.280
<v Speaker 3>Have a listened to this.

0:28:28.280 --> 0:28:31.320
<v Speaker 1>It was driven basically by another very strong quarder of

0:28:31.320 --> 0:28:36.560
<v Speaker 1>smart infrastructure. Our electrical business grew by twenty one percent,

0:28:37.080 --> 0:28:40.560
<v Speaker 1>but he also had a very strong softer business. Underlying

0:28:40.600 --> 0:28:43.000
<v Speaker 1>the softer business was very strong, but we also had

0:28:43.160 --> 0:28:44.440
<v Speaker 1>a couple of winds.

0:28:44.680 --> 0:28:45.360
<v Speaker 6>Large wins.

0:28:45.880 --> 0:28:51.320
<v Speaker 1>They don't repeat in that size again, but this helped

0:28:51.400 --> 0:28:53.120
<v Speaker 1>quite a bit also in drive our top line in

0:28:53.200 --> 0:28:55.800
<v Speaker 1>bottom line as well.

0:28:56.040 --> 0:28:59.560
<v Speaker 12>So some fully loppy numbers this time around, which probably

0:28:59.600 --> 0:29:02.600
<v Speaker 12>aren't you have there? You have those stock to your

0:29:02.640 --> 0:29:06.480
<v Speaker 12>guidance for the full year, given what you've just said,

0:29:06.560 --> 0:29:08.400
<v Speaker 12>given what you see in the world at the moment,

0:29:08.480 --> 0:29:10.640
<v Speaker 12>how predictable is the business though right now?

0:29:14.600 --> 0:29:18.360
<v Speaker 1>Well yes, we indeed we confirm our guidance our full

0:29:18.440 --> 0:29:22.640
<v Speaker 1>year outlook for the growth we will end up at

0:29:22.680 --> 0:29:25.760
<v Speaker 1>the lower end though, and we also confirm on our

0:29:25.800 --> 0:29:29.320
<v Speaker 1>EPs guidance the heads name holds true for our businesses

0:29:30.040 --> 0:29:32.760
<v Speaker 1>regarding the IVC their profitability for the full year on

0:29:32.800 --> 0:29:34.960
<v Speaker 1>the lower end, for the SI on the upper end.

0:29:35.560 --> 0:29:39.160
<v Speaker 1>So coming to the predictability, it's really a there are.

0:29:39.200 --> 0:29:41.960
<v Speaker 1>The biggest element which we have here is that over

0:29:41.960 --> 0:29:46.360
<v Speaker 1>the last three years the automation business was growing tremendously

0:29:46.440 --> 0:29:48.800
<v Speaker 1>fast and this ended up in quite a bit of

0:29:48.880 --> 0:29:54.440
<v Speaker 1>stocking in our distribution channels, and this stocking effect has

0:29:54.480 --> 0:29:56.080
<v Speaker 1>to go down. You have to be stock on the

0:29:56.080 --> 0:29:57.840
<v Speaker 1>one side and the market has to pick come on

0:29:57.880 --> 0:30:01.360
<v Speaker 1>the other. This is the unpredictability. How fast does that go?

0:30:01.640 --> 0:30:04.240
<v Speaker 1>When will the market pick up? We see a certain

0:30:04.360 --> 0:30:07.640
<v Speaker 1>light in chemical industry also in China, which is a

0:30:07.760 --> 0:30:11.200
<v Speaker 1>leading indicator, but this is not really the momentum we

0:30:11.240 --> 0:30:14.000
<v Speaker 1>need in order to really go there. Therefore, we still

0:30:14.000 --> 0:30:20.400
<v Speaker 1>have a muted market for automation. It is temporary effect, structural.

0:30:20.920 --> 0:30:23.760
<v Speaker 1>We believe this market keeps on going because there's a

0:30:23.800 --> 0:30:27.560
<v Speaker 1>demand for higher automation and digitalization in the whole industry.

0:30:28.840 --> 0:30:31.240
<v Speaker 3>That was seman CEO Roland Bursch. Now coming up on

0:30:31.280 --> 0:30:36.160
<v Speaker 3>Bloomberg Technology, we're joined by SNAs Coro, former NASA executive,

0:30:36.480 --> 0:30:39.560
<v Speaker 3>to discuss the plans that are being hatched between NASA

0:30:39.640 --> 0:30:42.960
<v Speaker 3>and SpaceX to return the astronauts that have been stuck

0:30:42.960 --> 0:30:47.240
<v Speaker 3>in orbit after complications on that star Liner test mission.

0:30:47.360 --> 0:31:01.160
<v Speaker 3>Really interesting conversation ahead. This is Bloomberg Technology. This is

0:31:01.200 --> 0:31:03.560
<v Speaker 3>Bloomberg Technology, and you're looking at a live shot of

0:31:03.600 --> 0:31:06.920
<v Speaker 3>the principal room. Check out our Bloomberg Technology podcast. You

0:31:06.960 --> 0:31:10.560
<v Speaker 3>can find it on the terminal Apple Spotify and iHeart

0:31:10.720 --> 0:31:23.760
<v Speaker 3>this is Bloomberg. Okay, so we have an update on

0:31:23.800 --> 0:31:27.920
<v Speaker 3>the Boeing Starliner test mission. NASA is working with Elon

0:31:28.040 --> 0:31:32.120
<v Speaker 3>Musk's SpaceX on a plan to return the two astronauts

0:31:32.400 --> 0:31:36.200
<v Speaker 3>back to Earth in February twenty twenty five after technical

0:31:36.240 --> 0:31:39.880
<v Speaker 3>complications caused them to be stuck in orbit for about

0:31:39.920 --> 0:31:43.280
<v Speaker 3>two months on the International Space Station. NASA is going

0:31:43.320 --> 0:31:46.240
<v Speaker 3>to make a final decision in mid August on whether

0:31:46.520 --> 0:31:49.240
<v Speaker 3>to deploy this backup plan. I want to bring in

0:31:49.240 --> 0:31:52.720
<v Speaker 3>an expert who knows the inner workings of the Space Agency.

0:31:53.520 --> 0:31:58.600
<v Speaker 3>Isna Ozo Okuro, former NASA Executive White House Assistant Director

0:31:58.680 --> 0:32:01.680
<v Speaker 3>for Space Policy. Enjoins US now and as an a

0:32:02.720 --> 0:32:05.920
<v Speaker 3>The extension of that plan is that there is a

0:32:06.000 --> 0:32:10.720
<v Speaker 3>crew mission going up in September with SpaceX, and then

0:32:10.760 --> 0:32:13.920
<v Speaker 3>maybe the two astronauts currently on ISS could hitch a

0:32:14.080 --> 0:32:17.000
<v Speaker 3>ride back February of twenty twenty five, which seems a

0:32:17.040 --> 0:32:20.440
<v Speaker 3>really long time away. Just your reaction to where we

0:32:20.480 --> 0:32:22.800
<v Speaker 3>are right now that are backup plans needed?

0:32:25.640 --> 0:32:25.840
<v Speaker 6>You know?

0:32:26.000 --> 0:32:28.680
<v Speaker 13>The great thing about this backup plan is that we

0:32:28.760 --> 0:32:32.280
<v Speaker 13>have it, because if we didn't, then I think that

0:32:32.360 --> 0:32:36.280
<v Speaker 13>there would be, especially when you look at the global

0:32:37.360 --> 0:32:40.440
<v Speaker 13>geopolitical environment, I think that we would have a much

0:32:40.840 --> 0:32:43.360
<v Speaker 13>harder time if we didn't have this option. So it's

0:32:43.480 --> 0:32:45.480
<v Speaker 13>great that we have this option. I think that's the

0:32:45.520 --> 0:32:50.960
<v Speaker 13>first and most important thing. And it's important that America

0:32:51.080 --> 0:32:54.760
<v Speaker 13>has two options to vary humans.

0:32:54.320 --> 0:32:55.480
<v Speaker 6>Safely to space.

0:32:56.080 --> 0:33:00.920
<v Speaker 13>What I do see also is NASA Boeing and SpaceX

0:33:01.000 --> 0:33:07.600
<v Speaker 13>prioritizing human safety first, as they should, so that's equally important.

0:33:08.640 --> 0:33:11.920
<v Speaker 3>There is reporting out there about NASA officials or teams

0:33:11.920 --> 0:33:14.959
<v Speaker 3>within NASA sort of not being one hundred percent aligned

0:33:14.960 --> 0:33:18.280
<v Speaker 3>on what the best plan was to do is best.

0:33:18.360 --> 0:33:22.440
<v Speaker 3>You can just help our audience understand how NASA works.

0:33:22.560 --> 0:33:25.480
<v Speaker 3>You know, now in this era of space, we have

0:33:26.080 --> 0:33:30.400
<v Speaker 3>commercial partners, you know, leading the activity, but NASA still

0:33:30.400 --> 0:33:31.520
<v Speaker 3>has a central role.

0:33:33.280 --> 0:33:33.959
<v Speaker 5>Absolutely well.

0:33:34.000 --> 0:33:39.400
<v Speaker 13>The astronauts are at NASA employees, they are NASA astronauts,

0:33:39.480 --> 0:33:43.640
<v Speaker 13>and these companies have contracts with NASA. So NASA has

0:33:43.680 --> 0:33:49.760
<v Speaker 13>a responsibility to review and authorize decisions because at the

0:33:49.880 --> 0:33:52.720
<v Speaker 13>end of the day, the buck stops with them. And

0:33:52.880 --> 0:33:55.960
<v Speaker 13>so if you step back a few weeks ago, there

0:33:56.000 --> 0:34:01.760
<v Speaker 13>was a task that was consulted and what they're about

0:34:01.760 --> 0:34:04.720
<v Speaker 13>twenty six of the twenty seven jets that were fired,

0:34:05.360 --> 0:34:08.200
<v Speaker 13>and the goal was to ensure that these thrusters were

0:34:08.239 --> 0:34:12.719
<v Speaker 13>working properly, and we're meeting performance requirements. And now the

0:34:12.800 --> 0:34:16.280
<v Speaker 13>team is going back and analyzing that data. So there

0:34:16.360 --> 0:34:21.840
<v Speaker 13>are two reasons.

0:34:21.760 --> 0:34:23.120
<v Speaker 5>They can really go either way.

0:34:23.239 --> 0:34:25.799
<v Speaker 13>One could say, well, you know, we've analyze the data

0:34:25.840 --> 0:34:29.520
<v Speaker 13>and we think that this Boeing aircraft can come back

0:34:30.719 --> 0:34:34.160
<v Speaker 13>with the astronauts or without the astronauts. And then there

0:34:34.200 --> 0:34:39.960
<v Speaker 13>is another reasoning, which is that SpaceX is really the

0:34:40.040 --> 0:34:43.120
<v Speaker 13>way to go. So either way, what you see within

0:34:43.200 --> 0:34:47.239
<v Speaker 13>the agency is that there are people and this is

0:34:47.280 --> 0:34:51.600
<v Speaker 13>good when you have disagreement. And now they have a

0:34:51.640 --> 0:34:55.719
<v Speaker 13>bit more time, given the SpaceX mission that's going up

0:34:55.719 --> 0:34:59.000
<v Speaker 13>in September, to analyze the data further, and then they

0:34:59.000 --> 0:35:01.560
<v Speaker 13>will make a decision and based on the performance of

0:35:01.960 --> 0:35:05.879
<v Speaker 13>the thrusters, the performance of this helium leak that they

0:35:05.920 --> 0:35:09.840
<v Speaker 13>are monitoring, and they will make a call mid August

0:35:10.040 --> 0:35:13.239
<v Speaker 13>based on all the information they have available, and they

0:35:13.280 --> 0:35:18.000
<v Speaker 13>will obviously make a decision that includes the prioritizes human

0:35:18.120 --> 0:35:24.400
<v Speaker 13>safety first, that prioritizes a safe landing, and that also

0:35:24.640 --> 0:35:28.400
<v Speaker 13>builds confidence in the system.

0:35:28.360 --> 0:35:29.840
<v Speaker 3>That's what I want to ask about as an A,

0:35:29.960 --> 0:35:33.759
<v Speaker 3>because we just showed the chart of Boeing spending on

0:35:34.040 --> 0:35:38.480
<v Speaker 3>the star Liner project and it's been well reported the

0:35:38.520 --> 0:35:42.240
<v Speaker 3>cost overruns, the delays. How to your mind, de NaSTA

0:35:42.360 --> 0:35:45.720
<v Speaker 3>and Boeing as partners now go back out and bring

0:35:45.760 --> 0:35:51.720
<v Speaker 3>public confidence in the program going forward when it works.

0:35:52.080 --> 0:35:54.799
<v Speaker 13>And that's what that's the point. We're trying to get

0:35:54.840 --> 0:35:58.400
<v Speaker 13>to a point where it will work and there is

0:35:58.480 --> 0:36:00.799
<v Speaker 13>confidence that's built in the system so that it can

0:36:00.840 --> 0:36:06.319
<v Speaker 13>ferry humans, and then the public will have confidence in

0:36:06.360 --> 0:36:09.520
<v Speaker 13>the system. But we have to get it to work first,

0:36:09.600 --> 0:36:13.440
<v Speaker 13>and which is why the analysis of these firing tests

0:36:13.480 --> 0:36:18.280
<v Speaker 13>that were conducted recently have to be completed, but NASA

0:36:18.360 --> 0:36:21.839
<v Speaker 13>will not will not make a decision until they are

0:36:22.239 --> 0:36:26.120
<v Speaker 13>they have conducted a thorough analysis and believe that the

0:36:26.239 --> 0:36:29.360
<v Speaker 13>data provided moves them in one direction or another.

0:36:31.080 --> 0:36:33.320
<v Speaker 3>As an A, also a senior fellow at the Harvard

0:36:33.320 --> 0:36:35.839
<v Speaker 3>Belfa Center. The other big piece of talk right now

0:36:35.840 --> 0:36:41.359
<v Speaker 3>in the industry is China and it's satellite constellation ambitions.

0:36:41.520 --> 0:36:44.520
<v Speaker 3>Might they do something similar to starlink And if they

0:36:44.560 --> 0:36:48.720
<v Speaker 3>were to, how does that work? The competition for space

0:36:49.080 --> 0:36:53.480
<v Speaker 3>the proximity of a US run constellation to a Chinese constellation.

0:36:53.840 --> 0:36:55.040
<v Speaker 3>Your thoughts on that isn't it?

0:36:57.080 --> 0:37:00.319
<v Speaker 13>You know what is great about this question and the

0:37:00.440 --> 0:37:04.760
<v Speaker 13>scenario is that we are already living it. Before the

0:37:04.800 --> 0:37:09.360
<v Speaker 13>SpaceX constellation went up, we had smaller constellations, but we

0:37:09.440 --> 0:37:13.120
<v Speaker 13>still had constellations in space. And then a mega constellation

0:37:13.280 --> 0:37:16.520
<v Speaker 13>was put up by US commercial company, which gave us

0:37:17.000 --> 0:37:21.120
<v Speaker 13>a leverage to understand and to plan for what it

0:37:21.120 --> 0:37:24.800
<v Speaker 13>would look like if a strategic competitor, in this case

0:37:25.120 --> 0:37:28.719
<v Speaker 13>a nation like China put up constellations of their own.

0:37:29.120 --> 0:37:33.359
<v Speaker 13>So through the constellation that we have up there put

0:37:33.400 --> 0:37:36.760
<v Speaker 13>up by SpaceX, we have been able to have discussions

0:37:36.920 --> 0:37:43.360
<v Speaker 13>and even remediations to radio astronomy issues, to night sky

0:37:43.800 --> 0:37:48.359
<v Speaker 13>issues based on what the satellites can see or what

0:37:48.440 --> 0:37:53.360
<v Speaker 13>they prevent us from seeing from here on Earth. We

0:37:53.520 --> 0:37:57.840
<v Speaker 13>have had conversations about orbital debris, which is the amount

0:37:57.920 --> 0:38:01.600
<v Speaker 13>of junk that is left in space. Now we've had

0:38:01.680 --> 0:38:06.319
<v Speaker 13>conversations about space sustainability and figure it out policy and

0:38:07.640 --> 0:38:11.319
<v Speaker 13>engineering solutions to all of these issues. And so I

0:38:11.360 --> 0:38:14.520
<v Speaker 13>think that we are actually in a better place as

0:38:14.560 --> 0:38:18.200
<v Speaker 13>the United States to prepare the best we can for

0:38:18.320 --> 0:38:21.160
<v Speaker 13>this consolation, because we have an example up there today.

0:38:21.239 --> 0:38:23.480
<v Speaker 13>If we didn't, then I think we would be in

0:38:23.520 --> 0:38:27.719
<v Speaker 13>a completely different place. However, that doesn't mean that we

0:38:27.800 --> 0:38:31.120
<v Speaker 13>can plan entirely, as you say, for what will happen.

0:38:32.239 --> 0:38:34.520
<v Speaker 3>As an Azokoro, it's great to have you back on

0:38:34.560 --> 0:38:37.680
<v Speaker 3>Bloomberg Technology. Thank you, former Nasser executive and as I said,

0:38:37.920 --> 0:38:40.480
<v Speaker 3>currently a fellow at the Harvard Belfa Center. Coming up

0:38:40.480 --> 0:38:44.520
<v Speaker 3>on the show, Apple is working on its smallest desktop

0:38:44.640 --> 0:38:48.439
<v Speaker 3>computer yet. We have that Bloomberg reporting coming up next.

0:38:48.719 --> 0:39:06.400
<v Speaker 3>This is Bloomberg Technology. Apple is planning a new version

0:39:06.440 --> 0:39:09.440
<v Speaker 3>of the Mac Mini that will be its smallest desktop

0:39:09.480 --> 0:39:12.360
<v Speaker 3>computer yet. This is part of a broader overhaul of

0:39:12.400 --> 0:39:15.680
<v Speaker 3>the Mac line with AI Focus Chips, bringing in bloomboas

0:39:15.719 --> 0:39:18.080
<v Speaker 3>Mark German, who of course broke the story and the

0:39:18.120 --> 0:39:22.200
<v Speaker 3>focus here is M four and bringing M four him.

0:39:22.440 --> 0:39:25.120
<v Speaker 3>Just explain the basic details of what you've reported.

0:39:26.880 --> 0:39:30.200
<v Speaker 14>Yeah, So the Mac COMMINEE, last revamped in twenty ten

0:39:30.320 --> 0:39:33.480
<v Speaker 14>under received jobs, now about fifteen years later, is getting

0:39:33.480 --> 0:39:37.080
<v Speaker 14>another redesign. That's a really big delta in between new designs,

0:39:37.400 --> 0:39:41.640
<v Speaker 14>and this is essentially because of these new processors. An

0:39:41.680 --> 0:39:43.480
<v Speaker 14>iPad pro in a box.

0:39:43.640 --> 0:39:44.359
<v Speaker 5>They're able to.

0:39:44.320 --> 0:39:47.680
<v Speaker 14>Shrink this down into something that is about the size

0:39:47.719 --> 0:39:51.000
<v Speaker 14>of an Apple TV set up box, so something probably

0:39:51.040 --> 0:39:53.040
<v Speaker 14>smaller than four by four inches.

0:39:53.760 --> 0:39:55.880
<v Speaker 5>This is going to be a very popular computer.

0:39:55.960 --> 0:39:58.360
<v Speaker 14>This is probably going to be marketed as the smallest

0:39:58.360 --> 0:40:01.839
<v Speaker 14>desktop computer ever made, not only by Apple but by

0:40:01.880 --> 0:40:02.960
<v Speaker 14>any computer company.

0:40:03.440 --> 0:40:06.040
<v Speaker 5>And this is going to have a supremely powerful chip.

0:40:06.080 --> 0:40:08.480
<v Speaker 14>The M four pro chip is going to have even

0:40:08.560 --> 0:40:12.320
<v Speaker 14>better graphic source power, even better AI processing, even better

0:40:12.360 --> 0:40:14.960
<v Speaker 14>CPU performance than the M four and the new iPad pro.

0:40:15.120 --> 0:40:17.799
<v Speaker 14>So this is going to be very exciting to macfans

0:40:17.880 --> 0:40:19.040
<v Speaker 14>and coming later this year.

0:40:20.280 --> 0:40:23.319
<v Speaker 3>The ideas outline to us by opening bag sources are

0:40:23.320 --> 0:40:26.359
<v Speaker 3>really interesting. What I'd try to understand, and Apple didn't

0:40:26.400 --> 0:40:29.000
<v Speaker 3>comment on the story, of course, is where the Mac

0:40:29.040 --> 0:40:31.759
<v Speaker 3>Mini or Mac kind of sits within the lineup of

0:40:31.800 --> 0:40:33.959
<v Speaker 3>Apple products. Who's the buyer heir Mark?

0:40:35.719 --> 0:40:37.600
<v Speaker 14>Yeah, this Mac Mini is going to be for people

0:40:37.600 --> 0:40:40.080
<v Speaker 14>who want to hook up a computer to their TV.

0:40:40.320 --> 0:40:40.839
<v Speaker 6>You know, there's some.

0:40:40.800 --> 0:40:44.080
<v Speaker 14>People who connect Macs to their TVs in their living

0:40:44.120 --> 0:40:45.160
<v Speaker 14>rooms or in their office.

0:40:45.239 --> 0:40:46.560
<v Speaker 5>That's going to be a big year space.

0:40:47.160 --> 0:40:49.880
<v Speaker 14>But also someone who has a desktop at home and

0:40:50.000 --> 0:40:53.280
<v Speaker 14>wants to do laptop s work, so the same amount

0:40:53.320 --> 0:40:56.720
<v Speaker 14>of work you would do on a desktop, So web browsing.

0:40:56.880 --> 0:40:59.560
<v Speaker 5>Email, photo editing, and video editing. You'll be able to

0:40:59.600 --> 0:41:01.080
<v Speaker 5>do that with this machine and hook it up to

0:41:01.120 --> 0:41:02.000
<v Speaker 5>any monitor you have.

0:41:02.120 --> 0:41:04.920
<v Speaker 14>It comes standalone, a keyboard, no mouse, don't drag that

0:41:05.040 --> 0:41:05.600
<v Speaker 14>in the box.

0:41:05.640 --> 0:41:08.000
<v Speaker 5>So this is going to be a pretty modular machine.

0:41:08.960 --> 0:41:13.000
<v Speaker 3>Bloomberg's Mark German with another exclusive piece of reporting, thank you, okay.

0:41:13.560 --> 0:41:16.040
<v Speaker 3>For years, the likes of Google and Open Ai have

0:41:16.160 --> 0:41:20.360
<v Speaker 3>been racing to build ever bigger and costlier AI models

0:41:20.480 --> 0:41:23.920
<v Speaker 3>using a tremendous amount of online data. Think chatbots like

0:41:24.000 --> 0:41:27.960
<v Speaker 3>chat gpt, which can handle a wide range of complex queries.

0:41:28.040 --> 0:41:31.880
<v Speaker 3>But some startups are now betting on a different strategy,

0:41:32.440 --> 0:41:36.520
<v Speaker 3>small language models, automating a more limited set of data

0:41:36.600 --> 0:41:40.239
<v Speaker 3>day corporate tasks without requiring as much data. Bloombog's Rachel

0:41:40.320 --> 0:41:43.160
<v Speaker 3>Mets has been writing about exactly this. So you've heard

0:41:43.200 --> 0:41:45.759
<v Speaker 3>of the large language model, now is the time of

0:41:45.800 --> 0:41:48.760
<v Speaker 3>the small language model. What is a small language model?

0:41:49.600 --> 0:41:52.160
<v Speaker 15>Small language model is kind of what it sounds like, right.

0:41:52.960 --> 0:41:55.760
<v Speaker 15>A large language model is treaming on a ton of data,

0:41:56.440 --> 0:41:59.880
<v Speaker 15>often gathered from all over the Internet and used for

0:42:00.120 --> 0:42:01.080
<v Speaker 15>a range of tasks.

0:42:01.239 --> 0:42:03.080
<v Speaker 5>Chat GBT people.

0:42:03.120 --> 0:42:05.680
<v Speaker 15>Might use it to write Shakespeare's sonnets about ice cream,

0:42:05.800 --> 0:42:09.480
<v Speaker 15>or they might use it to summarize meeting notes, you know,

0:42:09.520 --> 0:42:12.040
<v Speaker 15>like a very diverse range of tasks that are related

0:42:12.040 --> 0:42:14.840
<v Speaker 15>to human language. These small models are trained on a

0:42:14.960 --> 0:42:19.080
<v Speaker 15>much smaller, more refined set of data. And the idea

0:42:19.239 --> 0:42:21.279
<v Speaker 15>is that for a lot of companies, and lets be clear,

0:42:21.360 --> 0:42:24.160
<v Speaker 15>companies are really the customers for a lot of these

0:42:24.239 --> 0:42:26.799
<v Speaker 15>large language models. They're the ones with lots of money, right,

0:42:26.840 --> 0:42:29.560
<v Speaker 15>and AI companies want them to pay for them.

0:42:29.840 --> 0:42:32.000
<v Speaker 5>They're going to need them for specific things.

0:42:31.760 --> 0:42:34.399
<v Speaker 15>And maybe one thing that they are really good at,

0:42:34.520 --> 0:42:38.080
<v Speaker 15>something related to coding, perhaps a chatbot that's very focused

0:42:38.160 --> 0:42:42.000
<v Speaker 15>on tax prep questions for instance. So the hope by

0:42:42.000 --> 0:42:44.279
<v Speaker 15>a lot of these companies is that these models will

0:42:44.320 --> 0:42:47.360
<v Speaker 15>be more energy efficient, and they will be more focused,

0:42:47.440 --> 0:42:50.280
<v Speaker 15>and they will basically just be more helpful in general.

0:42:52.200 --> 0:42:55.080
<v Speaker 3>Who is leading the way in small language models? It

0:42:55.160 --> 0:42:57.200
<v Speaker 3>kind of seems like an old question, but every time

0:42:57.480 --> 0:43:00.560
<v Speaker 3>a very cutting edge large language model comes out, we

0:43:00.640 --> 0:43:02.640
<v Speaker 3>cover it as news on the show. Do we have

0:43:02.680 --> 0:43:04.880
<v Speaker 3>a sense of like who's focused on that area?

0:43:06.080 --> 0:43:09.680
<v Speaker 15>Yeah, So we have actually like a pretty big range

0:43:09.680 --> 0:43:11.920
<v Speaker 15>of companies that are involved in this. There are a

0:43:11.960 --> 0:43:15.000
<v Speaker 15>couple startups that are very focused on this. I spoke

0:43:15.080 --> 0:43:20.760
<v Speaker 15>with one called rcai. They are totally focused on customizing

0:43:20.960 --> 0:43:25.440
<v Speaker 15>open source small models and customer so they customize them

0:43:25.440 --> 0:43:29.160
<v Speaker 15>for customers, including a company called Guild which used it

0:43:29.200 --> 0:43:31.960
<v Speaker 15>to make a career coaching chatbot so they could scale

0:43:32.080 --> 0:43:35.560
<v Speaker 15>up more than they could do with their human career coaches.

0:43:36.040 --> 0:43:39.320
<v Speaker 15>Socana Ai is a company that's in Japan that's working

0:43:39.320 --> 0:43:41.719
<v Speaker 15>on this. And then also the big tech companies have

0:43:41.840 --> 0:43:46.239
<v Speaker 15>increasingly been releasing these small versions of their larger flagship

0:43:46.239 --> 0:43:50.040
<v Speaker 15>models like Opening I recently released or O Mini.

0:43:51.600 --> 0:43:55.520
<v Speaker 3>Bloomberg's Rachel mets on small language models a new term

0:43:55.760 --> 0:43:58.480
<v Speaker 3>for daily use here on the show. That does it

0:43:58.520 --> 0:44:01.759
<v Speaker 3>for this edition of Bloomberg Techno, lots of recap. Don't

0:44:01.760 --> 0:44:03.799
<v Speaker 3>forget to check out our podcasts. You know where to

0:44:03.800 --> 0:44:06.239
<v Speaker 3>find it on the Bloomberg platforms, the terminal as well

0:44:06.280 --> 0:44:09.520
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0:44:09.560 --> 0:44:12.080
<v Speaker 3>some beautiful pictures in just a moment. And for now,

0:44:12.400 --> 0:44:21.800
<v Speaker 3>this is Bloomberg Technology