WEBVTT - Tesla's C-Suite Shakeup, Softbank's Profitability Push

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<v Speaker 1>We're from Mahart where innovation, money and power Collie in

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<v Speaker 1>Silicon Vallet NBN. This is Bloomberg Technology with Caroline Hyde

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<v Speaker 1>and Ed Ludlow.

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<v Speaker 2>I met Ludlow in San Francisco. Caroline hyders off today.

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<v Speaker 2>This is Bloomberg Technology coming up on the program. Tesla's

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<v Speaker 2>shock change of CFO Zat Kirkhorn has stepped down after

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<v Speaker 2>thirteen years at the ev maker. Meanwhile, Elon Musk's health

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<v Speaker 2>is in focus as talk of a Zuckerberg cage fight

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<v Speaker 2>heats up, and plugging a forty eight billions on a

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<v Speaker 2>black hole artificial intelligence could fuel a rebound at SoftBank,

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<v Speaker 2>as the Japanese conglomerates Vision Fund seeks to snap five

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<v Speaker 2>quarters of losses, and we go live to Lisbon as

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<v Speaker 2>a key leader responds to Portugal's probe into a European

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<v Speaker 2>telecoms giant artis the name we are watching so closely.

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<v Speaker 2>The surprise story this Monday that we all woke up to.

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<v Speaker 2>Zach kirkchn stepped down August fourth as Tesla's CFO. He's

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<v Speaker 2>been at the company thirteen years. He became CFO early

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<v Speaker 2>twenty nineteen. He is a big factor behind the profit

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<v Speaker 2>at Tesla some of the key capital raises they've done.

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<v Speaker 2>The chief accounting officer is going to transition into the

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<v Speaker 2>CFO role. Kirk CON's going to stay till the end

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<v Speaker 2>of the year to oversee that transition. Pierre Faragu of

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<v Speaker 2>New Street Research currently has a buy rating on Tesla

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<v Speaker 2>and joins us to discuss. Pierre your reaction to Zach

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<v Speaker 2>stepping down.

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<v Speaker 3>Well, very solfishly and as an analystcovering Deskla, I'm very

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<v Speaker 3>disappointed because Zach was like an exceptionally held through CFO

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<v Speaker 3>four analyst, always very very impressive in his ability to

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<v Speaker 3>provide like a big picture and drill into very specific

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<v Speaker 3>numbers he could give to give a good sound of

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<v Speaker 3>what was happening. So the sense of control and understanding

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<v Speaker 3>of how like the big Tesla machine works at at

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<v Speaker 3>Tesla was impressive and I'm definitely going to miss it.

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<v Speaker 3>It's also definitely a surprise. I was not expecting him

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<v Speaker 3>to live. He's very young now, as you said, thirteen

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<v Speaker 3>years as STEPSLA, four years as a CFO, still very young.

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<v Speaker 3>You know, a lot, a lot of things he can

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<v Speaker 3>do with his life, and quite a good, you know,

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<v Speaker 3>amount of money in his on his bank account because

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<v Speaker 3>of course, being the CFO of Tesla and going through

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<v Speaker 3>such like an exceptionist strong stock performance means Zach already

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<v Speaker 3>got paid very well for his time as TESTLIGHTE reminds me,

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<v Speaker 3>you know, when their own left Tesla, it was the

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<v Speaker 3>same thing. Tesla is the company that attracts talents the best.

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<v Speaker 4>In the world.

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<v Speaker 3>Remember there is three million applications a year. It's also

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<v Speaker 3>the company that has the most difficulties to retain them

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<v Speaker 3>in the long run, because that's the company that is

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<v Speaker 3>making talents very rich rapidly at the same time.

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<v Speaker 5>So yes, I think part of the model.

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<v Speaker 2>So Tesla's name Vibab Teenager as the next CFO. He's

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<v Speaker 2>been the chief accounting officer. Do you know anything about him?

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<v Speaker 3>No, I don't have the chance to meet him personally.

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<v Speaker 3>You know that Tesla is very very protective with the

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<v Speaker 3>time of their executive So I had the opportunity to

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<v Speaker 3>speak to Zach regularly, not so much to Vibav. You know,

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<v Speaker 3>he's basically coming from the ranks of Tesla. I'm very

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<v Speaker 3>very confident he will he will do a great job,

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<v Speaker 3>and I hope I will forget very soon. My regrets

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<v Speaker 3>of seeing Zach living and I'm sure ABAVS will be

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<v Speaker 3>very helpful with an artists as well.

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<v Speaker 2>Pierre, You and I on this program Bloomberg Technology have

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<v Speaker 2>used and talked about the term key man risk, and

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<v Speaker 2>the thing that we talk about in the context of

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<v Speaker 2>Zach was that he was one of just a handful

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<v Speaker 2>of stated executive officers. Right, you have Drew Baglino leading

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<v Speaker 2>the power in a battery business. Tom ju is now

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<v Speaker 2>coming over from China. But does the key man risk

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<v Speaker 2>conversation now get amplified because Zach, who's been such a

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<v Speaker 2>stable force, is now gone.

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<v Speaker 5>It's a very good question.

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<v Speaker 3>So key mander is, yes, you can't ignore that the

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<v Speaker 3>CFO leaves the company the stock comes down. You can't

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<v Speaker 3>like that makes complete sense. There is like an oportunity

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<v Speaker 3>risk reflected in a move like that. You never know

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<v Speaker 3>exactly what's behind behind it. Then yes, a CFO, and

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<v Speaker 3>especially a CFO with the talent of Zak, is a

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<v Speaker 3>key man in an organization like that. Now, if you

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<v Speaker 3>take a step back and look at how he learned,

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<v Speaker 3>most likes to manage the multiple businesses he has. He

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<v Speaker 3>likes to be directly speaking to very technical people, so

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<v Speaker 3>people like Drew typically then he likes to have a

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<v Speaker 3>type of either a CFO or a chief operating officer

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<v Speaker 3>who is in charge of running the shop. And that's

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<v Speaker 3>a model of SpaceX. That's the model more or less

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<v Speaker 3>of Tesla with like the no real CEO, but like

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<v Speaker 3>Zach and potentially term running the business from a financial

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<v Speaker 3>and commercial, financial and operational and commercial perspective. And so

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<v Speaker 3>that model, once again is extremely resilient as long as

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<v Speaker 3>you have this capability of harnessing talents and bringing them

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<v Speaker 3>up the pyramid. And look at someone like Tom, like

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<v Speaker 3>the trajectory in China Tesla very similar to the trajectory

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<v Speaker 3>of that in the finance department, Like these people came

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<v Speaker 3>in very highly selected by Tesla and amongst all these

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<v Speaker 3>very high high quality talents Tesla has, Tesla is extremely

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<v Speaker 3>good at promoting very very fast, very young talents. So

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<v Speaker 3>as long as that machine is there. As an analyst

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<v Speaker 3>looking at the stock, looking at the long term, even

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<v Speaker 3>the medium term, I feel that the key man risk

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<v Speaker 3>is what it is. We'll see, you know, in the

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<v Speaker 3>next few months, Skipper of you know, they's anything more

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<v Speaker 3>to know about the situation. But I feel a relatively

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<v Speaker 3>confident we shouldn't meet excessively.

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<v Speaker 5>PF fair agree. New Street Research.

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<v Speaker 2>Always grateful for your time and your reaction to what

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<v Speaker 2>was a surprise piece of news this morning.

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<v Speaker 5>Thank you.

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<v Speaker 2>Let's stick with Musk over the weekend. Elon posted on

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<v Speaker 2>x formerly known as Twitter, that he's going to have

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<v Speaker 2>an MRI of his neck and upper back and he's

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<v Speaker 2>going to find out whether or not he'll need surgery. This,

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<v Speaker 2>of course, ahead of a proposed cage fight with Meta's

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<v Speaker 2>co founder Mark Zuckerberg joined me out of DC. Bloomberg's

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<v Speaker 2>Jackie Davlos. You and I have been through all of

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<v Speaker 2>the posts, all of the timelines, all of the ideas.

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<v Speaker 2>What do we know is the latest about this proposed

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<v Speaker 2>cage fight.

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<v Speaker 6>Well, and we know that cage fight is still up

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<v Speaker 6>in the air, so our eager audience out there shouldn't

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<v Speaker 6>put their beds in just yet. But what we do

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<v Speaker 6>know is that Elon must sort of put the kebash

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<v Speaker 6>on what's seemed to be an advancement in a proposed

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<v Speaker 6>match between the two tech billionaires because of his injury

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<v Speaker 6>to his upper neck and to his neck and upper back.

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<v Speaker 6>Now it seemed to be escalating earlier in the day,

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<v Speaker 6>because when Elon Musk first posted that Sunday that the

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<v Speaker 6>batch should be live stream on next and that these

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<v Speaker 6>proceeds would be going to charity, Mark Zuckerberg actually responded

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<v Speaker 6>to that and said, hey, look, I suggested that we

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<v Speaker 6>have this on August twenty six. Haven't heard back, and

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<v Speaker 6>so a physical match may not be playing out, but

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<v Speaker 6>they're certainly throwing punches at each other on their respective

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<v Speaker 6>platforms already.

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<v Speaker 2>You know, you and I cover technology, and the platforms

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<v Speaker 2>are at the heart of this. You mentioned Zuckerberg's response

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<v Speaker 2>threads being more reliable outside of the tech.

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<v Speaker 5>What do we know about the training that's going on, Like,

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<v Speaker 5>is this real, Jackie? Are they really gearing up for

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<v Speaker 5>this fight?

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<v Speaker 6>Well, you know, they've both been posting pictures of them training.

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<v Speaker 6>We saw that post that Mark Zuckerberg had of him

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<v Speaker 6>with this really heavy.

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<v Speaker 5>Vest that he was.

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<v Speaker 6>Bragging about how fast he could do this particular training session.

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<v Speaker 6>I mean, they're really putting themselves out there in this

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<v Speaker 6>way that you know, at least for Zuckerberg it's a

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<v Speaker 6>little uncharacteristic of him.

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<v Speaker 7>For Elon Musk not so much.

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<v Speaker 6>But you know, at the end of the day, this

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<v Speaker 6>isn't really about a cage match. I think what a

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<v Speaker 6>lot of tech watchers out there realize is that the

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<v Speaker 6>competition between the two really has intensified because of this

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<v Speaker 6>tit for tat about the social platforms themselves, and so

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<v Speaker 6>I think this is a culmination, probably a much more

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<v Speaker 6>entertaining one that we normally see play out, but certainly

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<v Speaker 6>one that's still a little.

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<v Speaker 8>Bit up in the air.

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<v Speaker 2>Ben Bos, Jackie Davlos, everything about the oxygen out of DC.

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<v Speaker 5>Thank you very much.

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<v Speaker 2>Now, look, we spent the last couple of weeks talking

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<v Speaker 2>about the rebranding of Twitter two X. But what does

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<v Speaker 2>Martin Grassa, the co designer a Twitter's original iconic bluebird logo,

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<v Speaker 2>have to say about the change?

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<v Speaker 5>Have a listen to this.

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<v Speaker 9>I think with the letter form itself, it's a tough

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<v Speaker 9>solve that they have to come up with because it's

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<v Speaker 9>angular and sharp, it has an aggressive construction, and so

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<v Speaker 9>I think the challenge that they'll have is how to

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<v Speaker 9>define what X means, how to make it feel welcoming

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<v Speaker 9>and approachable in its own way. And it's an incredible

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<v Speaker 9>opportunity to have a single letter domain. I think there

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<v Speaker 9>is only a few of them in the world. And

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<v Speaker 9>they really get a chance to sort of say the

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<v Speaker 9>final letter in the alphabet the same way you know

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<v Speaker 9>people think about the bird today. I think, you know,

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<v Speaker 9>ten years ago, there wasn't this emotional attachment to the

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<v Speaker 9>bird that we see as it starts.

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<v Speaker 2>To you know, pull away and change the X coming

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<v Speaker 2>out here on Bloomberg Technology, check it.

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<v Speaker 5>Look at zoom shares.

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<v Speaker 2>We've been talking and asking is this the end of

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<v Speaker 2>the remote work era? When the darling of the remote

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<v Speaker 2>work era says to its staff, time to come back

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<v Speaker 2>to the office. It's time to have a conversation that next.

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<v Speaker 5>This is Bloomberg.

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<v Speaker 2>Another piece of news that we're tracking here on Bloombow Technology,

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<v Speaker 2>PayPal is launching a stable coin, the latest crypto payments push.

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<v Speaker 2>What's so interesting about this It's the first by a

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<v Speaker 2>large financial company and is significant joining us now who

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<v Speaker 2>else Bloomberg Shnali Bassekale paypaler is like the og name

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<v Speaker 2>in payments and then you follow in the modern era

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<v Speaker 2>discussion around crypto. I'm not so surprised by this, but

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<v Speaker 2>it is a significant piece of news.

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<v Speaker 7>Oh.

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<v Speaker 10>Absolutely, You and I talk about the PayPal mafia all

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<v Speaker 10>the time. Everyone from elon Musk to Max Levchen, and

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<v Speaker 10>so it's not surprising to see PayPal be the first

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<v Speaker 10>really come out and make a stable coin announce They

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<v Speaker 10>are also working with Paxos, which we know has been

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<v Speaker 10>kind of a longer standing stable coin issuer and is

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<v Speaker 10>regulated pretty heavily here in the United States, including with

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<v Speaker 10>the New York Department of Financial Services. So if they

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<v Speaker 10>are trying to get something off the ground, to do

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<v Speaker 10>it in a way that is already regulated, well known

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<v Speaker 10>by the regulators, it makes a lot of sense, especially

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<v Speaker 10>because ed if you think about the way that stable

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<v Speaker 10>coins are used kind of as an on ramp off ramp,

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<v Speaker 10>and kind of also here on the eve of the

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<v Speaker 10>House Financial Services Committee really trying to proceed with a

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<v Speaker 10>new bill here for stable coin legislation. So a lot

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<v Speaker 10>of movement on that front. Very unclear what the endgame is,

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<v Speaker 10>but as we know, PayPal has four hundred and thirty

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<v Speaker 10>million users here that are right for the taking. When

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<v Speaker 10>you think about the movement over to digital payments.

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<v Speaker 2>So the basics of stable coins a cryptotoken that's pegged

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<v Speaker 2>to a real asset like the dollar, the US dollar,

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<v Speaker 2>is that the case with PayPal stable coin? What are

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<v Speaker 2>the specifics of it.

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<v Speaker 10>Yeah, it's fully backed by US dollar deposits, treasuries, cash equivalents.

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<v Speaker 10>I think it will be interesting to see how that

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<v Speaker 10>works over time and who else they work with. I

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<v Speaker 10>think about what STA Circle has done, for example, and

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<v Speaker 10>Circle also has used Blackrock to manage that kind of

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<v Speaker 10>treasury of cash and cash equivalents. As we've seen over time,

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<v Speaker 10>that has been a very interesting thing to even look

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<v Speaker 10>under the hood. Because initially they had kept money at

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<v Speaker 10>Silicon Valley Banks soil Coon Valley Bank hat failed. They

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<v Speaker 10>worked more with Blackrock to figure out how to move

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<v Speaker 10>some of that money. So to the point that you're

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<v Speaker 10>making the linkages here to the US financial system will

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<v Speaker 10>be interesting to keep an eye on continuously and again

0:12:34.120 --> 0:12:35.080
<v Speaker 10>the partners.

0:12:34.679 --> 0:12:34.920
<v Speaker 7>That they have.

0:12:35.000 --> 0:12:37.600
<v Speaker 10>The other reason I think about Circle so heavily is

0:12:37.679 --> 0:12:41.480
<v Speaker 10>because of the way that coinbase, for example, uses Circle

0:12:41.520 --> 0:12:45.480
<v Speaker 10>and USDC to really manage their kind of cash holdings

0:12:45.520 --> 0:12:48.800
<v Speaker 10>here as almost a proxy, given that it's backed so

0:12:48.920 --> 0:12:53.040
<v Speaker 10>much by very stable liquid US dollars and treasuries. The

0:12:53.320 --> 0:12:56.920
<v Speaker 10>expansion of how PayPal works with the existing crypto ecosystem

0:12:56.960 --> 0:12:59.840
<v Speaker 10>in that way, how much can you use PayPal stable

0:13:00.400 --> 0:13:02.680
<v Speaker 10>given that it is back kind of just by treasuries

0:13:02.679 --> 0:13:05.800
<v Speaker 10>and cash. Will more companies like a coin base feel

0:13:05.840 --> 0:13:07.719
<v Speaker 10>comfort in doing that and work with PayPal in the

0:13:07.720 --> 0:13:09.920
<v Speaker 10>future at a greater scale is a pivotal question.

0:13:10.280 --> 0:13:13.320
<v Speaker 2>Well, quickly, we just showed a fantastic chart, mister director.

0:13:13.320 --> 0:13:15.280
<v Speaker 2>Bring it back up up there you go. You look

0:13:15.320 --> 0:13:18.800
<v Speaker 2>at the market for stable coin. It is clearly dominated

0:13:18.840 --> 0:13:22.480
<v Speaker 2>by one name, Shanale. Very quickly break down the market

0:13:22.520 --> 0:13:22.920
<v Speaker 2>for US.

0:13:23.040 --> 0:13:25.599
<v Speaker 10>Yeah, very clearly. Tether is a big part of the

0:13:25.600 --> 0:13:27.839
<v Speaker 10>stable coin market. And I think you have to look

0:13:27.880 --> 0:13:31.480
<v Speaker 10>at this ed because twenty one percent is USDC as well.

0:13:31.520 --> 0:13:33.559
<v Speaker 10>How much are people using stable coins inside of the

0:13:33.640 --> 0:13:36.120
<v Speaker 10>United States versus outside of the United States. PayPal is

0:13:36.120 --> 0:13:40.120
<v Speaker 10>still a US domiciled company and so there is a

0:13:40.200 --> 0:13:42.559
<v Speaker 10>rational for them to be working with past paxos. We've

0:13:42.559 --> 0:13:45.240
<v Speaker 10>seen issues with other stable coins through paxos, like Finance

0:13:45.559 --> 0:13:48.320
<v Speaker 10>and so but paxos again has been a very trusted

0:13:48.320 --> 0:13:51.280
<v Speaker 10>issue in the United States, with a lot of US adoption, in.

0:13:51.240 --> 0:13:55.840
<v Speaker 2>Particular Bloomberg Shnali bassec all things crypto out of New York.

0:13:56.320 --> 0:13:58.440
<v Speaker 2>All right, So the push to get tech workers back

0:13:58.440 --> 0:14:01.839
<v Speaker 2>in the office continues. This time the back to office

0:14:01.840 --> 0:14:04.960
<v Speaker 2>announcement coming from the darling of the work from home

0:14:05.000 --> 0:14:09.120
<v Speaker 2>era Zoom to discuss Thingboks Brady Ford here with us.

0:14:09.640 --> 0:14:11.440
<v Speaker 5>This was one I did not see coming. What is

0:14:11.480 --> 0:14:12.079
<v Speaker 5>Zoom saying?

0:14:12.840 --> 0:14:15.959
<v Speaker 11>Yeah, Zoom said pretty much everybody else has said, which

0:14:16.000 --> 0:14:18.240
<v Speaker 11>is we're gonna work better in the office, come back

0:14:18.240 --> 0:14:19.080
<v Speaker 11>in two days a week.

0:14:19.120 --> 0:14:20.760
<v Speaker 5>It'll be great see your colleagues.

0:14:21.280 --> 0:14:23.160
<v Speaker 11>And what's kind of funny about that to a lot

0:14:23.160 --> 0:14:26.120
<v Speaker 11>of people is right that Zoom facilitated work from home.

0:14:26.520 --> 0:14:31.080
<v Speaker 11>Without them, we'd probably all be using Skype. But yeah,

0:14:31.120 --> 0:14:34.200
<v Speaker 11>I think what's interesting here, though, is that Zoom will

0:14:34.240 --> 0:14:37.440
<v Speaker 11>say that this actually aligns pretty closely with our current strategy.

0:14:37.800 --> 0:14:40.640
<v Speaker 11>They recognize that a lot of companies are going back

0:14:40.680 --> 0:14:43.160
<v Speaker 11>at least part time, and so they've really worked on

0:14:43.240 --> 0:14:48.080
<v Speaker 11>developing software for in office collaboration hybrid and so they

0:14:48.120 --> 0:14:50.800
<v Speaker 11>figure to make these tools and make some more sense

0:14:50.840 --> 0:14:53.000
<v Speaker 11>for their workers too to be in the office at

0:14:53.040 --> 0:14:53.880
<v Speaker 11>least part of the time.

0:14:54.960 --> 0:14:57.960
<v Speaker 2>The reality of this story, Brady, as you've written about,

0:14:58.040 --> 0:15:01.360
<v Speaker 2>is that in the post pandemic world, Zoom's really struggled

0:15:01.520 --> 0:15:04.280
<v Speaker 2>to keep its pace of growth. Tell me about the

0:15:04.320 --> 0:15:05.520
<v Speaker 2>reasons why.

0:15:05.800 --> 0:15:09.240
<v Speaker 11>Absolutely well, most tech companies ended up peaking around late

0:15:09.320 --> 0:15:12.280
<v Speaker 11>twenty twenty one. Zoom peaked a fall year earlier in

0:15:12.320 --> 0:15:15.360
<v Speaker 11>October twenty twenty because there was just this elation when

0:15:15.360 --> 0:15:19.000
<v Speaker 11>everybody said we're working for home forever. We have companies

0:15:19.040 --> 0:15:21.520
<v Speaker 11>all over the place, I mean, Salesforce said we're never

0:15:21.560 --> 0:15:24.880
<v Speaker 11>going back to the office, and it became clear that

0:15:24.920 --> 0:15:27.520
<v Speaker 11>some of these old ways of working will create back

0:15:28.000 --> 0:15:29.760
<v Speaker 11>and that's really what's dented Zoom. I mean, they have

0:15:29.800 --> 0:15:33.760
<v Speaker 11>a fantastic single product. Most people will say it's better

0:15:33.800 --> 0:15:37.520
<v Speaker 11>than the competition, but it's hard to make a successful

0:15:37.600 --> 0:15:41.040
<v Speaker 11>platform company on one product, especially when most people who

0:15:41.080 --> 0:15:43.080
<v Speaker 11>want that product have already purchased it.

0:15:44.400 --> 0:15:48.280
<v Speaker 2>Let's be clear about the CEO, Eric Dwan's position on this,

0:15:48.360 --> 0:15:50.680
<v Speaker 2>though he still believes in hybrid working.

0:15:51.680 --> 0:15:53.560
<v Speaker 11>Yeah, and that's what's interesting. I think a lot of

0:15:53.600 --> 0:15:57.160
<v Speaker 11>companies that are increasingly pushing workers back to the office

0:15:57.440 --> 0:16:01.680
<v Speaker 11>will say we're staying hybrid. The question is whether that

0:16:01.800 --> 0:16:03.200
<v Speaker 11>number continues to creep up.

0:16:03.280 --> 0:16:03.560
<v Speaker 2>Right?

0:16:03.680 --> 0:16:06.600
<v Speaker 11>Does it start at two and then next year it's three,

0:16:06.640 --> 0:16:10.360
<v Speaker 11>next year it's four. Are we in a three days

0:16:10.360 --> 0:16:15.040
<v Speaker 11>a week white collar work world forever? You know, if

0:16:15.080 --> 0:16:18.240
<v Speaker 11>you look at finance Obviously some places are five days

0:16:18.280 --> 0:16:21.160
<v Speaker 11>a week. Even sales positions at a lot of tech

0:16:21.200 --> 0:16:23.120
<v Speaker 11>companies are getting to four days a week now. So

0:16:23.160 --> 0:16:26.440
<v Speaker 11>the question is whether it stabilizes hybrid or it's just

0:16:26.480 --> 0:16:28.880
<v Speaker 11>going to continue creeping back to the old ways.

0:16:30.360 --> 0:16:33.360
<v Speaker 2>Brody Forward coming to us live from an office or

0:16:33.400 --> 0:16:35.680
<v Speaker 2>office in New York City. I mean, are there any

0:16:35.680 --> 0:16:38.240
<v Speaker 2>other tech companies that you cover that are taking a

0:16:38.240 --> 0:16:41.480
<v Speaker 2>similar approach that have recalled staff in recent weeks?

0:16:41.600 --> 0:16:44.160
<v Speaker 11>Well, here's an interesting one. Amazon, because a lot of

0:16:44.280 --> 0:16:47.120
<v Speaker 11>tech companies said, hey, if you live near an office,

0:16:47.200 --> 0:16:49.560
<v Speaker 11>you have to go because a lot of hiring was

0:16:49.560 --> 0:16:52.800
<v Speaker 11>totally remote in the pandemic. Amazon took a step to

0:16:52.800 --> 0:16:55.280
<v Speaker 11>say that if you don't live near an office, you

0:16:55.320 --> 0:16:57.840
<v Speaker 11>gotta move, you gotta come back. And to me, that

0:16:57.880 --> 0:17:00.880
<v Speaker 11>was an unprecedented step within the big techies. Again, if

0:17:00.880 --> 0:17:03.200
<v Speaker 11>you look at finance or others, my guess has been

0:17:03.200 --> 0:17:05.000
<v Speaker 11>a little bit harder for a while now.

0:17:06.520 --> 0:17:09.159
<v Speaker 5>Bombos, Brady Ford always good to catch up. Thank you

0:17:09.200 --> 0:17:09.760
<v Speaker 5>out in New.

0:17:09.720 --> 0:17:22.159
<v Speaker 2>York Artisiz Patrick Drahi said he felt quote betrayed and

0:17:22.240 --> 0:17:25.720
<v Speaker 2>deceived by a small group of individuals, including one of

0:17:25.720 --> 0:17:28.840
<v Speaker 2>his oldest colleagues, This was in response to a criminal

0:17:28.840 --> 0:17:33.000
<v Speaker 2>corruption probe in Portugal focused on key figures connected to

0:17:33.080 --> 0:17:36.760
<v Speaker 2>his telecommunity communications empire. Here with the latest out of

0:17:36.800 --> 0:17:40.399
<v Speaker 2>Lisbon Bloomberg's Enriqualmeida. So let's go back to the beginning.

0:17:41.160 --> 0:17:44.919
<v Speaker 2>How did some Autists officials become caught up in a

0:17:44.960 --> 0:17:47.520
<v Speaker 2>Portuguese probe about the company.

0:17:48.480 --> 0:17:49.160
<v Speaker 4>Hi ed Well?

0:17:49.359 --> 0:17:52.320
<v Speaker 12>This all began last month when Portuguese police searched about

0:17:52.640 --> 0:17:55.760
<v Speaker 12>nightighty homes and offices in Portugal and later detained the

0:17:55.800 --> 0:17:59.000
<v Speaker 12>co founder of artist Romandu Preidra and three other people

0:17:59.040 --> 0:18:03.000
<v Speaker 12>for question. Now, prosecutors believe that Pareta and a close

0:18:03.119 --> 0:18:06.679
<v Speaker 12>group of people rigged procurement contracts at Altis's portual in

0:18:06.680 --> 0:18:08.320
<v Speaker 12>a way that harmed the group's.

0:18:08.200 --> 0:18:09.920
<v Speaker 4>Own companies for their own benefit.

0:18:10.560 --> 0:18:14.240
<v Speaker 12>Pareida is considered Drahi's right hand man, which has raised

0:18:14.280 --> 0:18:16.720
<v Speaker 12>fears that such practices could be taking place in other

0:18:16.760 --> 0:18:20.200
<v Speaker 12>countries where the group operates. The irony of this all

0:18:20.600 --> 0:18:22.800
<v Speaker 12>is that Altis has earned a name for itself here

0:18:22.840 --> 0:18:24.639
<v Speaker 12>in Portugal for cutting costs.

0:18:24.680 --> 0:18:25.880
<v Speaker 4>A union leader told me.

0:18:25.880 --> 0:18:28.960
<v Speaker 12>Last month that when Altis spot Portugal Telecom, the country's

0:18:28.960 --> 0:18:31.960
<v Speaker 12>biggest telecom company, Peda told units that he had to

0:18:31.960 --> 0:18:35.480
<v Speaker 12>cut about five thousand jobs, that's about half of the workforce.

0:18:35.920 --> 0:18:37.840
<v Speaker 4>Now he suspected, along.

0:18:37.600 --> 0:18:40.080
<v Speaker 12>With a group of other people, of allegedly setting up

0:18:40.119 --> 0:18:43.359
<v Speaker 12>businesses that want supply contracts from Altese to line up

0:18:43.359 --> 0:18:44.000
<v Speaker 12>his pockets.

0:18:45.160 --> 0:18:48.840
<v Speaker 2>Altis in Europe is just a telecom's giant now, right,

0:18:48.920 --> 0:18:52.480
<v Speaker 2>The question is, Henry, what happens if this escalates beyond

0:18:52.560 --> 0:18:55.840
<v Speaker 2>Portugal to other European countries or even the US.

0:18:57.160 --> 0:18:58.560
<v Speaker 4>Well, that's the key question here.

0:18:58.840 --> 0:19:01.800
<v Speaker 12>Altis has alleged to be a victim of foul play

0:19:01.960 --> 0:19:04.720
<v Speaker 12>and that the case for now is limited to Portugal,

0:19:05.400 --> 0:19:07.159
<v Speaker 12>but the fact that one of its co founders is

0:19:07.200 --> 0:19:10.119
<v Speaker 12>under house arrest has raised concerns of poor governance elsewhere,

0:19:10.400 --> 0:19:12.920
<v Speaker 12>and the investigation couldn't need spread to other countries where

0:19:12.920 --> 0:19:14.480
<v Speaker 12>it operates, like France.

0:19:14.600 --> 0:19:15.520
<v Speaker 4>Or the US.

0:19:16.040 --> 0:19:19.080
<v Speaker 12>One alarm bell has been the dismissal of Altis USA

0:19:19.240 --> 0:19:23.199
<v Speaker 12>chief procurement officer Yossi venture Trids, who is prayed as

0:19:23.280 --> 0:19:26.440
<v Speaker 12>son in law. Yossi and his wife Gael made headlines

0:19:26.440 --> 0:19:28.840
<v Speaker 12>in two thousand and two for buying a seventy million

0:19:28.840 --> 0:19:33.240
<v Speaker 12>apartment in Manhattan. Now, if authorities in the US get involved,

0:19:33.440 --> 0:19:37.040
<v Speaker 12>Altiace could face potential fines poor governance, but the biggest

0:19:37.040 --> 0:19:40.960
<v Speaker 12>concern for now is Altis's huge debt pile. The company's

0:19:41.000 --> 0:19:44.040
<v Speaker 12>debt has belonged to more than sixty million after years

0:19:44.080 --> 0:19:48.840
<v Speaker 12>of aggressive acquisition at the same time getting more preentive.

0:19:49.280 --> 0:19:51.920
<v Speaker 2>Yep, no, I'm sorry to cut you off with short

0:19:51.960 --> 0:19:53.600
<v Speaker 2>on time and read, but thank you for your on

0:19:53.640 --> 0:20:00.200
<v Speaker 2>the ground reporting at Lisbon will continue to track the story.

0:20:06.280 --> 0:20:08.680
<v Speaker 2>Welcome back to Bloomberg Technology. Ed love Low here in

0:20:08.680 --> 0:20:11.080
<v Speaker 2>San Francisco. The single name that I'm watching though halfway

0:20:11.119 --> 0:20:13.879
<v Speaker 2>through the program soft Bank in Japan. You look at

0:20:14.080 --> 0:20:17.719
<v Speaker 2>the parent group, SoftBank Group down nine ten to one percent,

0:20:18.119 --> 0:20:21.160
<v Speaker 2>but kind of paired its losses. We get their earnings

0:20:21.440 --> 0:20:24.400
<v Speaker 2>very late night West Coast time early hours of Tuesday

0:20:24.400 --> 0:20:27.920
<v Speaker 2>morning East Coast time. All focus on Vision Fund expected

0:20:27.960 --> 0:20:32.239
<v Speaker 2>to return to profitability after five quarters of losses in

0:20:32.280 --> 0:20:33.040
<v Speaker 2>that Vision Fund.

0:20:33.080 --> 0:20:34.480
<v Speaker 5>What's going to drive the rebound?

0:20:34.840 --> 0:20:38.600
<v Speaker 2>Bloomberg's Isabelle Lee with me now with the latest Isabelle.

0:20:38.760 --> 0:20:40.600
<v Speaker 2>This is an artificial intelligence story.

0:20:41.160 --> 0:20:43.960
<v Speaker 13>It definitely is ed and is it even a surprise?

0:20:44.080 --> 0:20:46.760
<v Speaker 13>AI is really what's going to fuel the rally or

0:20:46.840 --> 0:20:49.760
<v Speaker 13>the soft rebound? Rather modest rebound, however you want to

0:20:49.800 --> 0:20:51.840
<v Speaker 13>call it. But this is a big deal considering that

0:20:52.440 --> 0:20:55.480
<v Speaker 13>the Soft Fund Vision Fund, which is a venture capital

0:20:55.600 --> 0:20:59.080
<v Speaker 13>arm of Soft Fund, have seen losses in the past

0:20:59.119 --> 0:21:01.800
<v Speaker 13>five quarters so to the tune of forty eight billion.

0:21:01.920 --> 0:21:05.480
<v Speaker 13>So this quarter, if it sees modest gains, it'll be good.

0:21:05.680 --> 0:21:08.879
<v Speaker 13>And obviously it's written by the AI rally. You've corvered

0:21:08.880 --> 0:21:11.840
<v Speaker 13>it in this show. AI rally has just fueled all

0:21:11.880 --> 0:21:15.440
<v Speaker 13>indexes across the board NASA one hundred, so it's biggest

0:21:15.440 --> 0:21:18.600
<v Speaker 13>record ever from January to June. And the Vision funds

0:21:18.600 --> 0:21:19.120
<v Speaker 13>public holding.

0:21:19.200 --> 0:21:20.320
<v Speaker 7>It's kind of a big firm.

0:21:20.640 --> 0:21:22.720
<v Speaker 13>Kind of is probably not the best word, because it's

0:21:22.760 --> 0:21:25.199
<v Speaker 13>one point one, it's billion. It's public holdings as of

0:21:25.240 --> 0:21:27.800
<v Speaker 13>the June quarter, and among the companies that invests in

0:21:27.840 --> 0:21:31.240
<v Speaker 13>our door Dash Grab Holdings, which also saw double digit

0:21:31.280 --> 0:21:33.280
<v Speaker 13>gains this year, and it also has a steak in

0:21:33.359 --> 0:21:36.280
<v Speaker 13>China's ted Global, So they're really banking on that AI

0:21:36.400 --> 0:21:38.760
<v Speaker 13>rally and this is one of the concrete examples that

0:21:38.840 --> 0:21:41.320
<v Speaker 13>it lifts the valuation of a fund higher.

0:21:42.520 --> 0:21:44.880
<v Speaker 2>The other story we're tracking so closely here on Bloomberg

0:21:44.920 --> 0:21:49.840
<v Speaker 2>Technology is what happens to Softbanks chip unit on the

0:21:49.960 --> 0:21:54.240
<v Speaker 2>chip designer. We know that an IPO is likely in September,

0:21:54.280 --> 0:21:56.119
<v Speaker 2>a month from now, we have a good gauge of

0:21:56.160 --> 0:21:56.840
<v Speaker 2>the valuation.

0:21:57.359 --> 0:21:58.600
<v Speaker 5>How big a factor is that.

0:21:59.119 --> 0:22:02.159
<v Speaker 13>A lot of attenda on that actually, because ARM is

0:22:02.200 --> 0:22:04.960
<v Speaker 13>looking to raise around ten billion for evaluation of around

0:22:05.040 --> 0:22:07.640
<v Speaker 13>sixty to seventy billion, so that's pretty big. And if

0:22:07.640 --> 0:22:11.359
<v Speaker 13>this happens, ARMS debut will be the biggest following Ali

0:22:11.400 --> 0:22:14.800
<v Speaker 13>Baba and Metta. And you know that this has been

0:22:14.840 --> 0:22:17.240
<v Speaker 13>a big story this year. Other than AI, it's been chips.

0:22:17.280 --> 0:22:19.920
<v Speaker 13>Everything has been about chips. So soft Bank is really

0:22:20.040 --> 0:22:22.080
<v Speaker 13>banking on this, and if it happens, it's going to

0:22:22.119 --> 0:22:25.879
<v Speaker 13>be a big deal for background Vision Fund launch in

0:22:25.920 --> 0:22:29.480
<v Speaker 13>twenty seventeen, and it has investments including Apple and Qualcom.

0:22:29.520 --> 0:22:31.959
<v Speaker 13>So if ARM comes true, if it does go public,

0:22:31.960 --> 0:22:35.720
<v Speaker 13>which is a loss by the way to UK because

0:22:35.760 --> 0:22:37.600
<v Speaker 13>they initially said they would list there but now they

0:22:37.680 --> 0:22:40.160
<v Speaker 13>filed confidentially in the US, it would be a win

0:22:40.600 --> 0:22:43.520
<v Speaker 13>probably for SoftBank. Now we don't know how much SoftBank

0:22:43.560 --> 0:22:46.359
<v Speaker 13>will stell its sell. It's sick when it comes to

0:22:46.400 --> 0:22:49.600
<v Speaker 13>the IPO, but still we must be guessing that it must.

0:22:49.400 --> 0:22:53.280
<v Speaker 2>Be substantial Plambase Isabelle Lie, my good friend out in

0:22:53.280 --> 0:22:56.640
<v Speaker 2>New York, across everything Asia tech and the importance for markets.

0:22:56.640 --> 0:22:57.560
<v Speaker 5>Thank you very much.

0:22:57.960 --> 0:23:00.399
<v Speaker 2>Now up next, ROW, it's the all in one finance

0:23:00.440 --> 0:23:04.080
<v Speaker 2>and investment management platform for businesses. It's now integrating our

0:23:04.119 --> 0:23:08.520
<v Speaker 2>official intelligence into its services. ROW unveiling one click AP

0:23:09.119 --> 0:23:11.720
<v Speaker 2>to help input data in seconds that will normally take

0:23:11.760 --> 0:23:12.600
<v Speaker 2>finance teams.

0:23:13.040 --> 0:23:13.399
<v Speaker 5>Ours.

0:23:13.480 --> 0:23:16.480
<v Speaker 2>Joining us from New York is ROW CEO Everett Cook.

0:23:16.960 --> 0:23:19.960
<v Speaker 2>This is interesting because what you're doing is at the

0:23:20.000 --> 0:23:24.280
<v Speaker 2>heart of the debate of where AI disrupts. Does it

0:23:24.440 --> 0:23:27.879
<v Speaker 2>aids jobs or does it displace jobs? But just start

0:23:27.880 --> 0:23:30.679
<v Speaker 2>by explaining what your AI powered tool does.

0:23:31.760 --> 0:23:35.040
<v Speaker 7>Thank you, Ded, It's great to be here, absolutely so.

0:23:35.200 --> 0:23:37.920
<v Speaker 14>Row is an all on one finance platform that means

0:23:37.920 --> 0:23:41.760
<v Speaker 14>we combine products like banking, expense management, corporate cards, and

0:23:41.800 --> 0:23:44.960
<v Speaker 14>accounts payable, which is the newest solution that we launched

0:23:45.080 --> 0:23:49.040
<v Speaker 14>this week. We're infusing AI into all of our products,

0:23:49.080 --> 0:23:52.439
<v Speaker 14>starting with AP because we believe it contributes to a

0:23:52.440 --> 0:23:55.280
<v Speaker 14>better user experience and ultimately takes people out of the

0:23:55.320 --> 0:23:57.040
<v Speaker 14>tdum of manual data entry.

0:23:58.080 --> 0:23:59.720
<v Speaker 7>For us, we don't believe that this is a job.

0:24:00.600 --> 0:24:03.080
<v Speaker 14>We believe that it frees up finance teams to ultimately

0:24:03.119 --> 0:24:04.320
<v Speaker 14>be strategic and.

0:24:04.280 --> 0:24:06.240
<v Speaker 7>Add value to the organizations that they work for.

0:24:07.840 --> 0:24:11.480
<v Speaker 2>How much of your decision to do this was driven

0:24:11.520 --> 0:24:13.360
<v Speaker 2>by people just coming to you and saying, we need

0:24:13.400 --> 0:24:16.080
<v Speaker 2>some help. We actually need AI to do something that's

0:24:16.160 --> 0:24:17.920
<v Speaker 2>useful for us a lot.

0:24:18.040 --> 0:24:20.480
<v Speaker 14>I mean that conversation wasn't about AI, but it was

0:24:20.560 --> 0:24:23.960
<v Speaker 14>about you know, the finance team spending up to thirty

0:24:23.960 --> 0:24:27.280
<v Speaker 14>percent of their time entering data and processing payments in

0:24:27.320 --> 0:24:30.000
<v Speaker 14>a very manual way still today in twenty twenty two,

0:24:30.040 --> 0:24:33.240
<v Speaker 14>twenty twenty three. So we understood these problems, and we

0:24:33.320 --> 0:24:36.000
<v Speaker 14>understood the technology shifts that were happening with AI, and

0:24:36.040 --> 0:24:39.679
<v Speaker 14>for us, it seemed like a very logical solution to

0:24:39.800 --> 0:24:42.960
<v Speaker 14>apply to solving this very pervasive and.

0:24:44.560 --> 0:24:46.240
<v Speaker 7>Meaningful problem.

0:24:46.560 --> 0:24:51.600
<v Speaker 2>Your products and services are targeted at the CFO, finance lead,

0:24:51.680 --> 0:24:55.600
<v Speaker 2>the finance team, how do you assess their competence their

0:24:55.680 --> 0:24:58.840
<v Speaker 2>understanding of artificial intelligence?

0:24:59.520 --> 0:25:00.920
<v Speaker 5>You know, people out.

0:25:00.720 --> 0:25:05.080
<v Speaker 2>There trying to upskill as CFOs learn more about AI

0:25:05.400 --> 0:25:06.640
<v Speaker 2>and why it's important for them.

0:25:07.200 --> 0:25:08.040
<v Speaker 7>That's a great question.

0:25:08.200 --> 0:25:10.440
<v Speaker 14>I think CFOs all around the world are trying to

0:25:10.480 --> 0:25:11.399
<v Speaker 14>upscale all the time.

0:25:11.960 --> 0:25:14.160
<v Speaker 7>I think, what's What's important.

0:25:13.720 --> 0:25:17.639
<v Speaker 14>Here, though, is that they don't necessarily need to truly

0:25:17.680 --> 0:25:21.080
<v Speaker 14>learn about AI to reap the benefits of it. It's

0:25:21.080 --> 0:25:23.840
<v Speaker 14>going to immerse itself in all of the products that

0:25:23.880 --> 0:25:26.359
<v Speaker 14>they probably use. Us as a you know, as a

0:25:26.400 --> 0:25:29.199
<v Speaker 14>technology company, we're embedding it in so many products to

0:25:29.280 --> 0:25:30.240
<v Speaker 14>just make everything.

0:25:30.000 --> 0:25:31.240
<v Speaker 7>Much better for the end user.

0:25:31.600 --> 0:25:33.960
<v Speaker 14>But I think that there are you know, leading edge

0:25:34.520 --> 0:25:37.800
<v Speaker 14>CFOs and finance teams are definitely learning as much as

0:25:37.800 --> 0:25:39.280
<v Speaker 14>they can about this new technology.

0:25:41.000 --> 0:25:44.880
<v Speaker 2>Are you able to quantify the financial benefit of automating

0:25:44.920 --> 0:25:48.679
<v Speaker 2>these functions? How much time money does it save a

0:25:48.720 --> 0:25:49.840
<v Speaker 2>company on average?

0:25:50.200 --> 0:25:53.200
<v Speaker 14>So we were able to reduce sort of the typical

0:25:53.240 --> 0:26:00.119
<v Speaker 14>payment system payment process, which includes interpreting, checking, validating, and

0:26:00.160 --> 0:26:03.399
<v Speaker 14>scheduling are payable and managing that with any payment method

0:26:03.560 --> 0:26:05.440
<v Speaker 14>down from around twenty clicks to a round two.

0:26:06.160 --> 0:26:08.440
<v Speaker 7>We call the product one click ap We're going to.

0:26:08.359 --> 0:26:12.199
<v Speaker 14>Get it to one because this is really important for

0:26:12.240 --> 0:26:15.480
<v Speaker 14>those organizations that may not sound like a lot, but

0:26:15.520 --> 0:26:19.240
<v Speaker 14>you multiply that by one hundred, one thousand processes per

0:26:19.320 --> 0:26:21.600
<v Speaker 14>month or per week and it really adds up.

0:26:22.920 --> 0:26:25.200
<v Speaker 2>What about your company? Ever, I believe you raise this

0:26:25.280 --> 0:26:28.440
<v Speaker 2>series B going all the way back to December twenty

0:26:28.480 --> 0:26:31.720
<v Speaker 2>twenty one. Do you have any more financing needs or

0:26:31.720 --> 0:26:32.520
<v Speaker 2>capital needs.

0:26:32.840 --> 0:26:34.560
<v Speaker 14>We raise a meaningful Series B at the end of

0:26:34.560 --> 0:26:38.240
<v Speaker 14>twenty twenty one. We were back by amazing investors. You know,

0:26:38.440 --> 0:26:40.600
<v Speaker 14>we're continuing to put our heads down and bill.

0:26:42.080 --> 0:26:45.000
<v Speaker 2>All right, Row CEO Everett Cook, thank you very much

0:26:45.400 --> 0:26:48.440
<v Speaker 2>for your time. They're coming up here on Bloomberg Technology.

0:26:48.560 --> 0:26:49.560
<v Speaker 5>It is our VC.

0:26:49.520 --> 0:26:54.159
<v Speaker 2>Spotlight Sarah Guile, founder of Conviction AI firm, very focused

0:26:54.320 --> 0:26:58.159
<v Speaker 2>on artificial intelligence software three point zero. She's going to

0:26:58.200 --> 0:27:01.280
<v Speaker 2>join us. Next familiar face here on Bluebow Technology. This

0:27:02.119 --> 0:27:04.800
<v Speaker 2>is Bloomberg. But before we go, quick look at shares

0:27:05.119 --> 0:27:09.320
<v Speaker 2>of block trade and higher by about half a percentage point.

0:27:10.040 --> 0:27:12.600
<v Speaker 5>Head's key numbers. This is Bloomberg.

0:27:29.240 --> 0:27:33.480
<v Speaker 2>Let's shift the technology focus seven thousand miles east to Israel.

0:27:33.560 --> 0:27:37.080
<v Speaker 2>We've just been speaking exclusively with Prime Minister Benjamin Netten

0:27:37.160 --> 0:27:39.800
<v Speaker 2>Yahoo about the nation's status as a tech club. He

0:27:39.840 --> 0:27:42.919
<v Speaker 2>says his government is working hard to benefit from the

0:27:42.960 --> 0:27:43.639
<v Speaker 2>AI boom.

0:27:43.640 --> 0:27:44.120
<v Speaker 5>Have listen.

0:27:44.840 --> 0:27:47.480
<v Speaker 1>There's noise in the short term markets, there's clarity in

0:27:47.480 --> 0:27:51.960
<v Speaker 1>the long term markets. I mean, now, Amazon just invests

0:27:51.960 --> 0:27:55.120
<v Speaker 1>seven billion in cloud services year. Why are they doing that?

0:27:55.240 --> 0:27:57.280
<v Speaker 1>Because they know something I'm going to do. What I'm

0:27:57.359 --> 0:28:06.040
<v Speaker 1>organizing is government policy and the government board with money

0:28:06.359 --> 0:28:09.320
<v Speaker 1>to make us or one of the three top AI

0:28:09.440 --> 0:28:10.200
<v Speaker 1>powers on the world.

0:28:12.880 --> 0:28:15.720
<v Speaker 2>That was Israel's Prime Minister benjaminette Nia, who's speaking with

0:28:15.840 --> 0:28:18.560
<v Speaker 2>us this past Sunday. Let's keep the conversation on AI

0:28:18.640 --> 0:28:20.760
<v Speaker 2>going in today's VC Spotlight.

0:28:20.840 --> 0:28:21.879
<v Speaker 5>Joining us this Monday.

0:28:21.920 --> 0:28:26.320
<v Speaker 2>Sarahwuile, founder of Conviction, early stage venture capital firm focus

0:28:26.359 --> 0:28:28.840
<v Speaker 2>heavily on AI and software three point zero.

0:28:29.080 --> 0:28:30.880
<v Speaker 5>Sarah, of course, a former partner.

0:28:30.520 --> 0:28:34.480
<v Speaker 2>At Greylock, described as quote overly direct, and also the

0:28:34.520 --> 0:28:37.159
<v Speaker 2>co host of the No Priors podcast. Welcome back to

0:28:37.200 --> 0:28:40.480
<v Speaker 2>Bloomberg Technology, Sarah.

0:28:39.840 --> 0:28:41.360
<v Speaker 8>Good to see you, Ed, Thanks for having me.

0:28:42.160 --> 0:28:43.800
<v Speaker 2>So, I want to start on a data point that

0:28:43.880 --> 0:28:45.800
<v Speaker 2>we've been going over a little bit on the show

0:28:45.960 --> 0:28:48.480
<v Speaker 2>this past couple of weeks. In the first quarter of

0:28:48.520 --> 0:28:52.800
<v Speaker 2>the year, at least almost half of venture backing for

0:28:52.840 --> 0:28:55.760
<v Speaker 2>AI startups went to startups here in the city of

0:28:55.760 --> 0:29:01.080
<v Speaker 2>San Francisco. Do you recognize that as being a genuine trend,

0:29:01.720 --> 0:29:04.280
<v Speaker 2>the concentration of AI talent here in the city.

0:29:06.280 --> 0:29:06.720
<v Speaker 4>Yeah.

0:29:06.960 --> 0:29:09.800
<v Speaker 15>I think it's a reflection of how early we are

0:29:10.040 --> 0:29:14.440
<v Speaker 15>in this market. There is great engineering and entrepreneurial talent

0:29:14.520 --> 0:29:17.320
<v Speaker 15>all around the world. I've been on the boards of startups,

0:29:17.720 --> 0:29:21.880
<v Speaker 15>you know, with Israeli founders, European founders, all around the

0:29:21.960 --> 0:29:25.840
<v Speaker 15>United States. But at this particular moment, AI and this

0:29:26.000 --> 0:29:28.960
<v Speaker 15>generation of it is very early, and a lot of

0:29:28.960 --> 0:29:31.000
<v Speaker 15>the talent that was sort of working on the frontier

0:29:31.000 --> 0:29:35.320
<v Speaker 15>of this technology was focused in a few large research labs,

0:29:35.680 --> 0:29:39.360
<v Speaker 15>and those labs were staffed.

0:29:38.880 --> 0:29:41.240
<v Speaker 8>In San Francisco and London mainly.

0:29:41.400 --> 0:29:44.720
<v Speaker 15>So I do think that, you know, the AI boom

0:29:44.800 --> 0:29:50.280
<v Speaker 15>has benefited from that research talent and is partly also

0:29:50.360 --> 0:29:52.440
<v Speaker 15>to do with sort of the renaissance of San Francisco.

0:29:53.720 --> 0:29:56.320
<v Speaker 2>I asked you that because you and I've spent time

0:29:56.360 --> 0:29:59.720
<v Speaker 2>together in your offices. You know, you launch Conviction and

0:29:59.760 --> 0:30:02.760
<v Speaker 2>you open the physical office space that since last we spoke,

0:30:02.840 --> 0:30:09.120
<v Speaker 2>you also launched conviction ebed, essentially an accelerator for AI startups.

0:30:09.760 --> 0:30:11.760
<v Speaker 2>Tell me about that, what prompted the move.

0:30:13.840 --> 0:30:16.560
<v Speaker 8>So we think this is a unique moment in time.

0:30:16.800 --> 0:30:19.960
<v Speaker 15>As we were just talking about, this is a very

0:30:20.000 --> 0:30:23.240
<v Speaker 15>early stage of the AI market, and we want to

0:30:23.320 --> 0:30:27.680
<v Speaker 15>bring people together at this frontier of technology is we

0:30:27.720 --> 0:30:30.680
<v Speaker 15>think they are solving a lot of new problems, and

0:30:30.720 --> 0:30:33.800
<v Speaker 15>some of those problems are very common, right, And so

0:30:33.880 --> 0:30:38.160
<v Speaker 15>an example might be hardware and infrastructure is hard again

0:30:38.200 --> 0:30:41.400
<v Speaker 15>for startups thank to the thanks to the cloud players,

0:30:41.720 --> 0:30:45.040
<v Speaker 15>they haven't been hard for most startups for a long time.

0:30:45.520 --> 0:30:48.960
<v Speaker 15>But if you are a company that needs to train

0:30:49.120 --> 0:30:52.360
<v Speaker 15>or serve your own models, that's very challenging, right. And

0:30:53.360 --> 0:30:56.680
<v Speaker 15>so you know, people talk about the AI GPU crunch,

0:30:57.760 --> 0:30:59.640
<v Speaker 15>and so one of the things that we were really

0:30:59.720 --> 0:31:04.120
<v Speaker 15>trying to do is focus on the set of challenges

0:31:04.240 --> 0:31:07.760
<v Speaker 15>that AI native companies face, bring people together who want

0:31:07.800 --> 0:31:10.200
<v Speaker 15>to work at the vanguard, and then also make it

0:31:10.280 --> 0:31:14.160
<v Speaker 15>possible for companies to experiment, right. And so we're giving

0:31:14.160 --> 0:31:17.000
<v Speaker 15>people enough capital to get going one hundred and fifty

0:31:17.000 --> 0:31:19.880
<v Speaker 15>thousand dollars on very friendly terms, and then partnering with

0:31:20.000 --> 0:31:23.280
<v Speaker 15>Microsoft Open AI and Thropic and base Time in order

0:31:23.320 --> 0:31:25.960
<v Speaker 15>to sort of make it possible for people to experiment

0:31:26.040 --> 0:31:28.960
<v Speaker 15>as well from the hardware side. And so I think

0:31:29.000 --> 0:31:31.000
<v Speaker 15>it's in part because we think this is a really

0:31:31.000 --> 0:31:33.240
<v Speaker 15>special moment in time we want to bring together some

0:31:33.320 --> 0:31:35.680
<v Speaker 15>of that vanguard community, and in part because we think

0:31:35.680 --> 0:31:39.040
<v Speaker 15>we can bring our network together and people will solve

0:31:39.120 --> 0:31:40.120
<v Speaker 15>unique problems together.

0:31:40.160 --> 0:31:41.360
<v Speaker 8>So today's actually the last.

0:31:41.240 --> 0:31:43.880
<v Speaker 15>Day of application. So AI entrepreneurs, I hope you'll apply.

0:31:45.240 --> 0:31:46.920
<v Speaker 2>Well, let let's linger on that for a moment. Then

0:31:47.000 --> 0:31:49.440
<v Speaker 2>what is it that you're looking for? You know, if

0:31:49.520 --> 0:31:51.320
<v Speaker 2>you are going to get a new wave of applicants

0:31:51.360 --> 0:31:54.400
<v Speaker 2>that are watching Bloomberg Technology right now, how do they

0:31:54.480 --> 0:31:58.160
<v Speaker 2>set themselves apart? What is it you're seeking to on Earth?

0:31:59.760 --> 0:32:02.640
<v Speaker 15>Yeah, I think the fundamental thing that we are looking

0:32:02.680 --> 0:32:06.880
<v Speaker 15>for with any entrepreneur, besides the core entrepreneurial traits of

0:32:06.960 --> 0:32:12.600
<v Speaker 15>you know, grit, the enthusiasm and deep understanding of a

0:32:12.640 --> 0:32:19.320
<v Speaker 15>particular problem space, is actually experimentation today, like openness to

0:32:19.440 --> 0:32:22.400
<v Speaker 15>new ideas and new experiences, and I think a more

0:32:22.440 --> 0:32:27.080
<v Speaker 15>expansive view of the markets that can be disrupted with AI,

0:32:27.280 --> 0:32:29.640
<v Speaker 15>and then sort of deep understanding of how the research

0:32:29.680 --> 0:32:32.200
<v Speaker 15>and technology apply. I think one of the most exciting

0:32:32.280 --> 0:32:35.520
<v Speaker 15>things about the opportunity to us is the fact that

0:32:36.480 --> 0:32:39.200
<v Speaker 15>we don't look at the markets that are available to

0:32:39.360 --> 0:32:43.320
<v Speaker 15>AI is just traditional software companies. Like some of the

0:32:43.360 --> 0:32:46.560
<v Speaker 15>most interesting companies in AI today. And I'm biased because

0:32:46.600 --> 0:32:48.800
<v Speaker 15>these are some of our portfolio companies as well, but

0:32:49.560 --> 0:32:52.160
<v Speaker 15>you know, if you look at companies like Harvey in

0:32:52.240 --> 0:32:56.920
<v Speaker 15>the legal space or mid journey in the image generation space.

0:32:57.200 --> 0:33:02.560
<v Speaker 15>Those were not hotbeds for software in as verticals prior, right,

0:33:02.600 --> 0:33:05.600
<v Speaker 15>And so we're really excited about people who you know,

0:33:05.800 --> 0:33:09.200
<v Speaker 15>are experts in their domain and then also are thinking

0:33:09.240 --> 0:33:14.720
<v Speaker 15>creatively about these applications versus sort of just expecting that

0:33:14.760 --> 0:33:18.360
<v Speaker 15>these next generation of companies will be direct replacement for incumbents.

0:33:19.160 --> 0:33:21.520
<v Speaker 2>You know, convictions really focused on the early stage. But

0:33:21.640 --> 0:33:23.000
<v Speaker 2>you know, I know you and l Add on the

0:33:23.040 --> 0:33:26.640
<v Speaker 2>No Prize podcast have names from the world of AI

0:33:26.880 --> 0:33:29.800
<v Speaker 2>working at some of the biggest and most mature technology

0:33:29.800 --> 0:33:33.320
<v Speaker 2>companies to discuss some of the broad themes. What are

0:33:33.320 --> 0:33:38.560
<v Speaker 2>the advantages of focusing on young, early startups rather than

0:33:38.880 --> 0:33:42.280
<v Speaker 2>you know, there's more mature sometimes megacap tech names that

0:33:42.320 --> 0:33:45.200
<v Speaker 2>are still pumping money into into AI development.

0:33:47.040 --> 0:33:50.200
<v Speaker 15>Well, I'm sure there's an updated increased number for Q two,

0:33:50.520 --> 0:33:53.120
<v Speaker 15>but I think your viewers would definitely know in Q

0:33:53.240 --> 0:33:55.920
<v Speaker 15>one a fifth of the S and P five hundred

0:33:55.960 --> 0:33:58.920
<v Speaker 15>mentioned AI in their earnings calls, right, And so I

0:33:58.960 --> 0:34:03.040
<v Speaker 15>do think since these starting gun of last November, technologists

0:34:03.200 --> 0:34:07.040
<v Speaker 15>at companies of any scale recognize the opportunity and the risk,

0:34:08.000 --> 0:34:11.799
<v Speaker 15>and definitely some are benefiting from it, right. You know,

0:34:11.840 --> 0:34:16.320
<v Speaker 15>we see even in our mean alads, more advanced portfolios,

0:34:16.480 --> 0:34:21.200
<v Speaker 15>or even in public companies, there are founders and CEOs

0:34:21.320 --> 0:34:25.440
<v Speaker 15>who are taking advantage of the opportunity and motivating their

0:34:25.440 --> 0:34:29.480
<v Speaker 15>teams to work with more speed and velocity than they

0:34:29.520 --> 0:34:34.880
<v Speaker 15>ever have. Incumbents have always had the advantages of distribution,

0:34:35.320 --> 0:34:39.279
<v Speaker 15>like relationships with customers, and then like very you know,

0:34:39.480 --> 0:34:43.520
<v Speaker 15>large resources right engineering teams, access to infrastructure, for example.

0:34:44.000 --> 0:34:49.200
<v Speaker 15>But I think these times of massive disruption are actually

0:34:49.200 --> 0:34:52.640
<v Speaker 15>more advantage to startups. I think there's a lot of

0:34:52.680 --> 0:34:57.440
<v Speaker 15>discussion amongst investors about access to data to train and

0:34:57.480 --> 0:35:01.160
<v Speaker 15>fine tune models, but the data you want for model

0:35:01.239 --> 0:35:05.680
<v Speaker 15>fine tuning and training is actually very specific, and incumbents

0:35:05.719 --> 0:35:07.960
<v Speaker 15>often don't have it. So I think it's a you know,

0:35:08.000 --> 0:35:12.400
<v Speaker 15>it's a race like many other technology shifts, where startups

0:35:12.480 --> 0:35:15.320
<v Speaker 15>are trying to build the best product and build distribution

0:35:16.320 --> 0:35:19.319
<v Speaker 15>and incumbents have the distribution advantage and are trying to

0:35:19.320 --> 0:35:22.360
<v Speaker 15>figure out how quickly they can adapt to this new change.

0:35:23.520 --> 0:35:24.920
<v Speaker 5>Last October, you.

0:35:26.440 --> 0:35:30.000
<v Speaker 2>Came out and confirmed your first one hundred million dollar fund,

0:35:30.719 --> 0:35:33.120
<v Speaker 2>and you got going quite quickly, and we talked about

0:35:33.120 --> 0:35:35.880
<v Speaker 2>the physical space that you have the offices, but just

0:35:35.920 --> 0:35:38.840
<v Speaker 2>share with our audience, Sarah, what it's been like building

0:35:38.880 --> 0:35:41.640
<v Speaker 2>your own firm from scratch, where you've been able to

0:35:41.680 --> 0:35:44.600
<v Speaker 2>make progress quickly, what the challenges have been as well.

0:35:46.960 --> 0:35:48.840
<v Speaker 15>Yeah, I am reminded what it is like to be

0:35:48.840 --> 0:35:51.240
<v Speaker 15>a founder. It's a lot of work, I'll be honest,

0:35:51.360 --> 0:35:55.359
<v Speaker 15>but I'm really excited. I think the timing of our

0:35:55.440 --> 0:36:00.919
<v Speaker 15>fund launch was we launched a publicly last October and

0:36:01.320 --> 0:36:05.160
<v Speaker 15>chat GPT was released to the public in I think November,

0:36:05.640 --> 0:36:08.600
<v Speaker 15>and so I can't say I was not surprised by

0:36:09.200 --> 0:36:15.719
<v Speaker 15>how strong the consumer and enterprise reaction was to that,

0:36:16.040 --> 0:36:19.840
<v Speaker 15>where like, this is the race year to incorporate AI

0:36:19.960 --> 0:36:24.279
<v Speaker 15>into your existing products as an company, right, And so

0:36:24.719 --> 0:36:29.839
<v Speaker 15>I'm positively surprised by how many entrepreneurs and how much

0:36:29.840 --> 0:36:32.759
<v Speaker 15>great opportunity we are seeing. And I think, you know,

0:36:32.800 --> 0:36:35.920
<v Speaker 15>we have a I think we have a reputation for

0:36:36.320 --> 0:36:40.640
<v Speaker 15>domain expertise and network here and we want to go

0:36:40.719 --> 0:36:43.120
<v Speaker 15>work with some of the very best companies. I'm very

0:36:43.120 --> 0:36:47.279
<v Speaker 15>proud of the entrepreneurs already in the portfolio, but I'd

0:36:47.280 --> 0:36:49.560
<v Speaker 15>say the amount of opportunity is also a challenge, right,

0:36:49.600 --> 0:36:53.359
<v Speaker 15>We're hiring investors, and I think it will only grow

0:36:53.400 --> 0:36:57.000
<v Speaker 15>from here. So I'd say perhaps the challenges look a

0:36:57.000 --> 0:36:59.439
<v Speaker 15>little bit more like any scaling company that doesn't quite

0:36:59.480 --> 0:37:02.000
<v Speaker 15>have enough peace because its market has arrived quickly.

0:37:03.480 --> 0:37:05.640
<v Speaker 2>Sarah Grau, conviction is so great to have you back

0:37:05.640 --> 0:37:08.360
<v Speaker 2>on the program at I guess the digital coll face

0:37:08.760 --> 0:37:11.879
<v Speaker 2>of building a venture firm but also investing in new

0:37:11.920 --> 0:37:13.240
<v Speaker 2>companies in the field of AI.

0:37:13.480 --> 0:37:14.359
<v Speaker 5>Thank you very much.

0:37:22.800 --> 0:37:26.400
<v Speaker 2>As the iPhone fifteen debut approaches, Apple finally admitting the

0:37:26.440 --> 0:37:29.520
<v Speaker 2>industry is facing a smartphone slow down here in the US,

0:37:29.840 --> 0:37:32.680
<v Speaker 2>presents a challenge for the next iPhone, which promises to

0:37:32.719 --> 0:37:35.480
<v Speaker 2>be the biggest updates of the device in three years.

0:37:35.520 --> 0:37:38.480
<v Speaker 2>Here's one pac more Bloombos, Mark German and Mark you

0:37:38.520 --> 0:37:40.719
<v Speaker 2>wrote your power on over the weekend. Actually, some new

0:37:40.760 --> 0:37:45.480
<v Speaker 2>details about the timing of iPhone fifteen. We're expecting an event,

0:37:45.800 --> 0:37:47.680
<v Speaker 2>a launch. When do they take place.

0:37:49.040 --> 0:37:52.239
<v Speaker 16>I'm expecting Apple to announce the iPhone fifteen the week

0:37:52.280 --> 0:37:55.760
<v Speaker 16>after Labor Day, so either on Tuesday September twelfth or Wednesday,

0:37:55.800 --> 0:37:59.080
<v Speaker 16>September thirteenth. The phones will then go on pre order

0:37:59.320 --> 0:38:02.240
<v Speaker 16>that Friday, and then the week after the following Friday

0:38:02.280 --> 0:38:05.440
<v Speaker 16>on September twenty second, I expect the new models to

0:38:05.480 --> 0:38:09.279
<v Speaker 16>go on sale. Now, this is not necessarily groundbreaking, This

0:38:09.400 --> 0:38:13.920
<v Speaker 16>follows the cadence of typical Apple releases, but notably this

0:38:14.000 --> 0:38:17.359
<v Speaker 16>event is happening about a week later than last year,

0:38:17.400 --> 0:38:20.719
<v Speaker 16>but it's still within their normal timeframe of early September

0:38:21.200 --> 0:38:22.160
<v Speaker 16>to mid September.

0:38:24.160 --> 0:38:27.000
<v Speaker 2>The question, before we get to the comments from executives

0:38:27.000 --> 0:38:30.040
<v Speaker 2>about slow down is what is the iPhone fifteen going

0:38:30.080 --> 0:38:33.200
<v Speaker 2>to bring us? How is it different from prior generations

0:38:33.440 --> 0:38:35.000
<v Speaker 2>Based on your reporting.

0:38:36.080 --> 0:38:38.439
<v Speaker 16>Yeah, I think this iPhone fifteen launch is actually going

0:38:38.480 --> 0:38:40.960
<v Speaker 16>to be the most significant upgrade to the iPhone since

0:38:41.000 --> 0:38:44.440
<v Speaker 16>the iPhone twelve launched in twenty twenty. You know, typically

0:38:44.520 --> 0:38:47.440
<v Speaker 16>they've been doing bigger upgrades to the profhones the last

0:38:47.560 --> 0:38:50.720
<v Speaker 16>few years, and that will continue, but the baseline iPhone

0:38:50.760 --> 0:38:52.640
<v Speaker 16>fifteen will be a pretty nice update as well. So

0:38:52.680 --> 0:38:55.640
<v Speaker 16>I'll start with the cheaper bones. The fifteen will get

0:38:55.719 --> 0:38:58.640
<v Speaker 16>the same forty eight megapixel back camera that the fourteen

0:38:58.680 --> 0:39:01.160
<v Speaker 16>pro got last year, so a really big upgrade on

0:39:01.160 --> 0:39:03.520
<v Speaker 16>those lower end phones. And then they're going to move

0:39:03.560 --> 0:39:06.960
<v Speaker 16>from the notch to the dynamic island on the fifteen

0:39:07.000 --> 0:39:09.239
<v Speaker 16>and fifteen plus as well. So that's going to be

0:39:09.239 --> 0:39:11.640
<v Speaker 16>a nice improvement that people on the pro phones got

0:39:11.760 --> 0:39:14.839
<v Speaker 16>last year. Now moving onto the pro devices, there's going

0:39:14.880 --> 0:39:17.319
<v Speaker 16>to be an entirely new design. They're going to keep

0:39:17.320 --> 0:39:20.480
<v Speaker 16>that sort of matt frosted glass back, but around the

0:39:20.520 --> 0:39:22.360
<v Speaker 16>sides of the phone. The band that goes around the

0:39:22.360 --> 0:39:26.000
<v Speaker 16>phone right now with sort of that shiny fingerprint full

0:39:26.160 --> 0:39:29.840
<v Speaker 16>stainless steel band. Right that material is trying to titan

0:39:30.280 --> 0:39:32.640
<v Speaker 16>It's a brush titanium. It looks a bit nicer, a

0:39:32.640 --> 0:39:34.719
<v Speaker 16>bit more premium, but it also could make the phone

0:39:34.719 --> 0:39:37.600
<v Speaker 16>a bit lighter. There's also going to be a much

0:39:37.640 --> 0:39:39.240
<v Speaker 16>dinner border around the screen.

0:39:40.920 --> 0:39:41.239
<v Speaker 5>All right.

0:39:41.280 --> 0:39:43.920
<v Speaker 2>Bloomber is Martgum and check on power on these aecutives

0:39:43.960 --> 0:39:46.120
<v Speaker 2>saying two quarters of slow down in the US. Does

0:39:46.120 --> 0:39:49.080
<v Speaker 2>the iPhone fifteen change the trajectory that does it? To

0:39:49.120 --> 0:39:51.759
<v Speaker 2>this edition of Bloomberg Technology coming up in the next hour.

0:39:51.840 --> 0:39:54.439
<v Speaker 2>Kathe Wood of ARC joins the crew on the one

0:39:54.480 --> 0:39:56.319
<v Speaker 2>PM from San Francisco.

0:39:56.719 --> 0:39:58.040
<v Speaker 5>This is Bloomberg Technology