WEBVTT - Stability AI's Breakout Hurdles, Palantir Slides

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<v Speaker 1>Technology coming up on the program Stability AIS. Breakout success

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<v Speaker 1>faces threats as the startup confronts executive departures and concerns

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<v Speaker 1>with its CEO. Will bring you our Bloomberg reporting on

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<v Speaker 1>the artificial intelligence startup, plus full coverage of earnings ahead

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<v Speaker 1>from Palenteer and Lucid's results to Rivian reporting after the bell.

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<v Speaker 1>We got you covered, and we'll have an exclusive conversation

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<v Speaker 1>with Spotify as the music streaming company further integrates AI

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<v Speaker 1>technology in to its products.

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<v Speaker 2>All right, let's get straight to our top story.

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<v Speaker 1>Stability AI is confronting a series of executive departures, struggles

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<v Speaker 1>to raise funds at a target valuation, and an accusation

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<v Speaker 1>it's not paid its bills on time or in full.

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<v Speaker 1>After breakout success with the stable diffusion model, the startup

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<v Speaker 1>now faces mounting risks to its edge in the booming

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<v Speaker 1>field of generative generative AI.

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<v Speaker 2>The reporters who broke that story.

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<v Speaker 1>Rachel mets here in San Francisco, Mark Bergen out in London,

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<v Speaker 1>Join me now, Rachel, let's start with you. What were

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<v Speaker 1>the main takeaway that we learned in the course of

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<v Speaker 1>our reporting.

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<v Speaker 3>We spent several months looking into this story and speaking

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<v Speaker 3>to a lot of different people, including Emad Mustak himself,

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<v Speaker 3>who is the person behind Stability AI, and we learned

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<v Speaker 3>that we're looking at a company that seemed to come

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<v Speaker 3>out of nowhere, has a CEO who tends to make

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<v Speaker 3>some blue sky comments about things that may not have

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<v Speaker 3>happened yet, and the company itself just seems kind of disorganized,

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<v Speaker 3>I guess, I would say.

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<v Speaker 2>And that was just a bit of what we've noticed.

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<v Speaker 1>So let's remind us as what put Stability on the map.

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<v Speaker 1>It was the stable diffusion model. What is that?

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<v Speaker 3>In basic terms, stable diffusion is an image generation AI model.

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<v Speaker 3>What it does is you type in a few words

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<v Speaker 3>and it will give you back an image or a

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<v Speaker 3>number of images. It was actually initially developed by a

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<v Speaker 3>group of German researchers and a reserve scientist from a

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<v Speaker 3>startup called Runway. Emad Mustak in mid twenty two approached

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<v Speaker 3>this group of people to say, hey, I will support financially.

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<v Speaker 3>I will pay for the computing power needed to improve

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<v Speaker 3>this model to further train it.

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<v Speaker 1>Okay, let's bring in Bloomba's Mark Bergen, who's out in London.

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<v Speaker 1>One of the co bylines of this story. We were

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<v Speaker 1>just showing pictures of m Ad the CEO of Stability.

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<v Speaker 1>A lot of your reported reporting focused on him his

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<v Speaker 1>leadership of the company.

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<v Speaker 2>What did you learn.

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<v Speaker 4>Yeah, I mean he's certainly a charismatic character. He has

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<v Speaker 4>a history here in London. He's worked for hedge funds,

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<v Speaker 4>He's worked as a consultant prior to Stability, He's worked

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<v Speaker 4>with a lot of around emerging markets and finance.

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<v Speaker 5>He has a couple of companies.

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<v Speaker 4>Are in crypto and blockchain space. And then, as Rachel said,

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<v Speaker 4>I mean a mod moustache has even said his own

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<v Speaker 4>words on stage. We kind of came out of nowhere,

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<v Speaker 4>certainly not a well known entity in person here in

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<v Speaker 4>London and in the valley, raised a lot of money,

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<v Speaker 4>over one hundred million from some pretty high established investor

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<v Speaker 4>is what we you know.

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<v Speaker 5>I think that he has really.

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<v Speaker 4>Positioned his company and its unique benefits around open source technology,

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<v Speaker 4>and some investors we talked to that's what got them

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<v Speaker 4>really excited. And one of the reasons they invested is

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<v Speaker 4>they thought there would be an open source alternative to

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<v Speaker 4>the open.

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<v Speaker 5>A eyes and Googles of the world.

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<v Speaker 4>As we talk in the story, that's clearly been threatened

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<v Speaker 4>by companies like Meta, a lot of other newcomers that

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<v Speaker 4>are also introducing competing sort of open source or open

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<v Speaker 4>source like software products, Whereas what we're seeing in Stability

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<v Speaker 4>is a lot of this internal turmoil while they're facing

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<v Speaker 4>increased competition.

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<v Speaker 1>So let's get to the specifics of that internal tour

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<v Speaker 1>mail turmoil, Rachel. One of the things you report is

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<v Speaker 1>that they tried to raise funds at a specific valuation.

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<v Speaker 1>Four billion US dollars is what they were seeking. They

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<v Speaker 1>weren't able to tell us about that, and also some

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<v Speaker 1>of the departures that they've had at the higher levels

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<v Speaker 1>of the company.

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<v Speaker 3>So the company raised over one hundred million in funding

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<v Speaker 3>late last year, right at the height of the success,

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<v Speaker 3>the break out success of Stable Diffusion, and since then

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<v Speaker 3>it hasn't announced a really large funding round. At that

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<v Speaker 3>time it was valued at a billion dollars, and our

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<v Speaker 3>reporting at Bloomberg has indicated that it was trying to

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<v Speaker 3>raise at four billion dollars. As far as we are aware,

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<v Speaker 3>that hasn't yet happened.

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<v Speaker 1>We just showed some of the responses we got from

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<v Speaker 1>Stability to our reporting, one stating that they've not had

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<v Speaker 1>problems raising funds, Mark, and that actually that they said

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<v Speaker 1>they weren't trying to raise funds. The other is that

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<v Speaker 1>some of those departures in late July, according to stability

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<v Speaker 1>were they were let go rather than people that resigned

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<v Speaker 1>in their own volition. Mark, What else have you learned?

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<v Speaker 1>What are kind of some of the key factors that

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<v Speaker 1>you report out in this story.

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<v Speaker 4>Yeah, I think what makes them a really interesting company,

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<v Speaker 4>beyond the fact that they have such a successful stable diffusion,

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<v Speaker 4>is they're trying to build these what they're called foundational models,

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<v Speaker 4>Like they're trying to build this ground level infrastructure for

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<v Speaker 4>generative AI, what a lot of investors and people in

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<v Speaker 4>business believe is sort of the future of the Internet

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<v Speaker 4>and the next transformational economy. That is a very expensive industry, right,

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<v Speaker 4>very expensive enterprise.

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<v Speaker 5>Open AI is raised over ten billion.

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<v Speaker 4>We've seen startups like Rachel mentioned Runway, raising a lot

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<v Speaker 4>of money because this is requires a lot of research,

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<v Speaker 4>that requires a lot of compute, It requires hiring top

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<v Speaker 4>shelf very expensive engineers. We talked Mustak in our reporting

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<v Speaker 4>shows that their revenue he had previously sent out a

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<v Speaker 4>tweet saying it was around ten million run rate of

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<v Speaker 4>revenue for the year. It's below that now, in part

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<v Speaker 4>because of their investment in research and development.

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<v Speaker 5>So it's a very expensive business. It's something that a lot.

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<v Speaker 4>Of their competitors have felt the need to be on

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<v Speaker 4>this constant ramp of fundraising, and the fact that they

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<v Speaker 4>have not, I think is certainly almost an outlier amongst

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<v Speaker 4>their peers.

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<v Speaker 1>Invokes Rachel Max mark Bergen. Just really important reporting on

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<v Speaker 1>a company that we talk about often and here on

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<v Speaker 1>Bloomberg Technology, and now we find out the reality behind

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<v Speaker 1>that name that has a lot of momentum. Thank you

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<v Speaker 1>very much, all right here on Bloomberg Technology. I want

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<v Speaker 1>to get quick check in of the markets broadly. This

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<v Speaker 1>is what we're looking at, and aw's that one hundred

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<v Speaker 1>down one point five percent. We've seen the index level

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<v Speaker 1>kind of treading water, but now some outside declines, particularly

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<v Speaker 1>in chip names. You've got the socks, we're down two

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<v Speaker 1>point six percent. Yields have come down though that's been

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<v Speaker 1>the story the selloff in treasuries, but the US tenure

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<v Speaker 1>yield back down towards four percent. It had been at

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<v Speaker 1>four point two percent last week. We can see it

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<v Speaker 1>continue to pull back. Bitcoin, which has traded in quite

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<v Speaker 1>a narrow range for the last two weeks or so

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<v Speaker 1>around twenty nine five hundred US dollars per token, but

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<v Speaker 1>pushing a little higher in the early part of this

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<v Speaker 1>Tuesday session. The single name that we are watching is Palenteer.

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<v Speaker 1>We are off session lows when it comes to Palenteer

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<v Speaker 1>right now, down seven percent on an inch day basis.

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<v Speaker 1>We've been heading for our biggest decline since November.

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<v Speaker 2>The story really clear.

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<v Speaker 1>The market is not happy with the guidance that they

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<v Speaker 1>gave two point two to one billion dollars for revenue

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<v Speaker 1>in full year twenty three, and this has been seeing

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<v Speaker 1>a range of two point one nine to two point

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<v Speaker 1>twenty four. But it's about not walking the walk while

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<v Speaker 1>the company is certainly talking to the talk for more

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<v Speaker 1>impaltied results. I want to bring a man deep sing

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<v Speaker 1>Boomberg Intelligence senior technology analysts that there's a real fighting

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<v Speaker 1>talk from this this company in Alex carp in particular,

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<v Speaker 1>Man deep about the momentum they have driven by their

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<v Speaker 1>artificial intelligence offering. But do you see any of that

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<v Speaker 1>momentum show up in the financial guidance they gave.

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<v Speaker 6>No, And I think it's too early for any company

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<v Speaker 6>on the software side to really guide in terms of

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<v Speaker 6>the revenue impact, but it comes to a generative AI.

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<v Speaker 6>They have called out a few use cases around healthcare

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<v Speaker 6>and antology, which seem interesting, but it's too early, I

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<v Speaker 6>think to say that you know it's going to drive

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<v Speaker 6>revenue growth, as you see in the case of the

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<v Speaker 6>lives of Nvidia, and that's where you know, with the

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<v Speaker 6>model that Palenteer has, which is not a recurring subscription

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<v Speaker 6>model unlike a lot of the cloud players, and when

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<v Speaker 6>you're training at eighteen to twenty times sales, the kind

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<v Speaker 6>of growth they are putting, it's just not enough to

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<v Speaker 6>you know, sustain that stock momentum. And I think that's

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<v Speaker 6>why you're seeing that reaction to them.

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<v Speaker 1>This is what Alex carb the CEO of palenter Technology

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<v Speaker 1>is told Bloomberg in an interview.

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<v Speaker 2>We've got a good chance.

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<v Speaker 1>Of becoming the most important software company in the world.

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<v Speaker 2>What's your response to that, Mandy.

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<v Speaker 6>Too early, because when you look at the partnerships that

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<v Speaker 6>have been announce so far, Snowflake has partnered with Nvidia,

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<v Speaker 6>what are they trying to do. They're trying to leverage,

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<v Speaker 6>you know, Nvidia's expertise when it comes to GPUs and

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<v Speaker 6>accelerators and overlay that with the product that they have

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<v Speaker 6>at commercial enterprises. And that's the I think part where

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<v Speaker 6>Talenteer will find it challenging to grow because they have,

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<v Speaker 6>you know, the customer base when it comes to the

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<v Speaker 6>government side. On the commercial side, they don't have enough

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<v Speaker 6>partnerships to drive that momentum, and most of the software sales,

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<v Speaker 6>if you think about it, happen you know at that

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<v Speaker 6>top level where you need salesforce, where you need to

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<v Speaker 6>constantly add customers up sell. In fact, Talenteers net retention

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<v Speaker 6>rate declined to one hundred and ten percent. They were

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<v Speaker 6>around one hundred and thirty percent. That just goes to

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<v Speaker 6>show they have some churn issues and commercial side sequentially

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<v Speaker 6>decelerated in the quarter. So clearly commercial side is where

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<v Speaker 6>there'll be challenged and they need partnerships. They need the

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<v Speaker 6>service providers to drive the nomentum.

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<v Speaker 1>You wrote about Talentie small customer base in your Bloomberg

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<v Speaker 1>Intelligence Reacts. The way they described it is that they

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<v Speaker 1>have for artificial intelligence platform aipay organizations as customers, but

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<v Speaker 1>they're talking to three hundred What do you make of

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<v Speaker 1>their ability to convert? But also I guess on the

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<v Speaker 1>other side of the table the willingness of big commercial

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<v Speaker 1>orgs to invest in AI driven data analysis.

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<v Speaker 6>I think clearly there is an appetite and there is

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<v Speaker 6>excitement around generative AI. The way enterprises typically go about

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<v Speaker 6>this kind of stuff is they will do it in

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<v Speaker 6>you know, pilot and phases, and you know you're going

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<v Speaker 6>to wait for ROI to really allocate a huge budget

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<v Speaker 6>for twenty twenty four for example. And as I said,

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<v Speaker 6>it's a very competitive space. You are competing with hyperscalers,

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<v Speaker 6>You're competing with the likes of Snowflake data breaks that

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<v Speaker 6>have an army of salespeople, which I think Palenteer will

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<v Speaker 6>find it hard to compete with. And what it does

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<v Speaker 6>to their bottom line is they have no way but

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<v Speaker 6>to keep hiring salespeople. So I know they focus on

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<v Speaker 6>operatability and they're doing a buyback, but to my mind,

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<v Speaker 6>their expenses will have to grow, especially when it comes

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<v Speaker 6>to sales and marketing, and that will limit any operating

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<v Speaker 6>leverage you'll see in the NEUTRA.

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<v Speaker 1>All Right, a big thanks to Bloemberg Intelligence senior tech

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<v Speaker 1>analyst Mandy Singh. We've got some fresh news just out

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<v Speaker 1>this past hour and video has announced an updated AI

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<v Speaker 1>processor that gives a jolt frankly to the chip's capacity

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<v Speaker 1>and speed. This is the company seeks to cement its

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<v Speaker 1>dominance in what is a burgeoning market, and video says

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<v Speaker 1>the super chip, which is called the GH two hundred,

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<v Speaker 1>is going to go into production in the second quarter

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<v Speaker 1>of twenty twenty four. It's part of a new lineup

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<v Speaker 1>of both hardware and software that, in videos introduce focus

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<v Speaker 1>on artificial intelligence.

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<v Speaker 2>All right.

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<v Speaker 1>Another top story, Amazon will meet with FTC chair Li

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<v Speaker 1>Nakhan next week in a final push to avoid an

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<v Speaker 1>antitrust lawsuit over the e commerce giants marketplace for third

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<v Speaker 1>party sellers that, according to Bloomberg sources, joining us now

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<v Speaker 1>Adam Kavakovit's Chamber of Progress founder and CEO.

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<v Speaker 2>What do you make of this?

0:12:13.000 --> 0:12:16.360
<v Speaker 1>Either we are closer towards a show off, a showdown

0:12:16.920 --> 0:12:20.480
<v Speaker 1>between Amazon and the FDC, or we're close to avoiding one.

0:12:20.640 --> 0:12:21.600
<v Speaker 2>What's your assessment?

0:12:22.720 --> 0:12:24.720
<v Speaker 7>Well, I don't think we're close to avoiding one.

0:12:24.760 --> 0:12:27.760
<v Speaker 8>And I think that's partly because Lena Kahn has made

0:12:27.800 --> 0:12:30.880
<v Speaker 8>her name as an Amazon critic right her Really her

0:12:30.920 --> 0:12:35.120
<v Speaker 8>claim to fame originally was her twenty seventeen law review

0:12:35.120 --> 0:12:39.480
<v Speaker 8>paper which articulated her view that while Amazon probably has

0:12:39.640 --> 0:12:43.720
<v Speaker 8>pro consumer justifications for its behavior, she believed that it was

0:12:43.760 --> 0:12:47.959
<v Speaker 8>doing harm to rival retailers and to online sellers. And she,

0:12:48.360 --> 0:12:50.640
<v Speaker 8>you know again, six years ago, called for an expansion

0:12:50.679 --> 0:12:53.320
<v Speaker 8>of antitrust law to deal with what she viewed as

0:12:53.320 --> 0:12:55.680
<v Speaker 8>problematic behavior. And so I think in some ways for her,

0:12:55.880 --> 0:12:59.439
<v Speaker 8>this is a long time coming, though. And I think

0:12:59.440 --> 0:13:01.160
<v Speaker 8>the way to think of this meeting next week that

0:13:01.200 --> 0:13:03.280
<v Speaker 8>Amazon will have with the FTC sometimes it's called the

0:13:03.360 --> 0:13:06.760
<v Speaker 8>last Rights meeting. It's really a formality. I think it's

0:13:07.120 --> 0:13:09.480
<v Speaker 8>it's not going to it's not likely to deter the

0:13:09.520 --> 0:13:12.400
<v Speaker 8>FTC from bringing a lawsuit. I fully expect that they

0:13:12.440 --> 0:13:15.680
<v Speaker 8>will bring a lawsuit, and candidly, based on the pace

0:13:15.720 --> 0:13:18.440
<v Speaker 8>of these things, that lawsuit probably won't see the inside

0:13:18.480 --> 0:13:21.080
<v Speaker 8>of a courtroom for about two years, which maybe long

0:13:21.120 --> 0:13:23.520
<v Speaker 8>after Lena Kahn has left the FTC.

0:13:24.480 --> 0:13:26.440
<v Speaker 1>I just want to remind our audience, Adam, that the

0:13:26.480 --> 0:13:30.280
<v Speaker 1>Chamber of Progress essentially a tech industry trade group, that

0:13:30.400 --> 0:13:34.240
<v Speaker 1>antitrust is an area that you research and share policy

0:13:34.280 --> 0:13:38.680
<v Speaker 1>perspective on regularly. When I was at some Valley a

0:13:38.720 --> 0:13:41.800
<v Speaker 1>couple of weeks ago, the Microsoft Activision deal was firm

0:13:41.840 --> 0:13:45.240
<v Speaker 1>in focus and a lot of people asking the question,

0:13:45.920 --> 0:13:49.520
<v Speaker 1>why does the FTC keep picking fights that to many

0:13:49.559 --> 0:13:52.720
<v Speaker 1>in the market that they feel that they can't win.

0:13:53.360 --> 0:13:55.640
<v Speaker 8>It's a great question, and I think that there are

0:13:56.280 --> 0:13:59.000
<v Speaker 8>things that the FTC can do that are more practical wins.

0:13:59.040 --> 0:14:01.120
<v Speaker 8>But I think it's very clear that Lena Khan has

0:14:01.160 --> 0:14:05.120
<v Speaker 8>come into the agency as a critic of past FTC chairs.

0:14:05.120 --> 0:14:08.599
<v Speaker 9>She feels that they've been too conciliatory.

0:14:08.600 --> 0:14:10.880
<v Speaker 8>And she wants to bring lawsuits and I sort of

0:14:10.920 --> 0:14:12.719
<v Speaker 8>call it a little bit of a yolo strategy. I

0:14:12.720 --> 0:14:16.080
<v Speaker 8>don't think she particularly cares if she loses those suits.

0:14:16.559 --> 0:14:19.720
<v Speaker 8>I think this particular suit, based on the reporting and

0:14:19.760 --> 0:14:20.760
<v Speaker 8>some of the leaks that have come out of the

0:14:20.840 --> 0:14:23.320
<v Speaker 8>FTC about the things they're looking at, all of the

0:14:23.400 --> 0:14:28.040
<v Speaker 8>behavior in question Amazon, I think has pretty compelling pro

0:14:28.280 --> 0:14:33.880
<v Speaker 8>consumer justifications for But she's really seen a broader goal,

0:14:33.920 --> 0:14:36.960
<v Speaker 8>which is to expand the range of antitrust law to

0:14:37.280 --> 0:14:41.160
<v Speaker 8>encounter harms to suppliers and harms to sellers and harms

0:14:41.200 --> 0:14:43.360
<v Speaker 8>to workers, and so I think.

0:14:43.240 --> 0:14:46.320
<v Speaker 9>She is intent on bringing cases that she believes serve

0:14:46.440 --> 0:14:47.000
<v Speaker 9>that mission.

0:14:48.120 --> 0:14:50.320
<v Speaker 8>And so I don't think the losing record terres Her,

0:14:50.360 --> 0:14:52.320
<v Speaker 8>I think she thinks, well, you know, we should try

0:14:52.320 --> 0:14:54.600
<v Speaker 8>and if we lose, then that might prompt Congress to

0:14:54.720 --> 0:14:57.840
<v Speaker 8>change the laws. And I think that's pretty explicitly stated

0:14:57.840 --> 0:14:59.120
<v Speaker 8>as a strategy of.

0:14:59.040 --> 0:15:02.200
<v Speaker 1>Hers, best of your knowledge, Adam, When they all go

0:15:02.280 --> 0:15:05.000
<v Speaker 1>into a room, when the FTC and Amazon sit down,

0:15:05.200 --> 0:15:08.320
<v Speaker 1>what happens? I mean, what is it that one side

0:15:08.360 --> 0:15:09.640
<v Speaker 1>has to convince the other of.

0:15:11.160 --> 0:15:14.200
<v Speaker 10>Well, it's interesting because I think if you look at

0:15:14.200 --> 0:15:16.800
<v Speaker 10>the issues that the FTC has been investigating, these are

0:15:16.800 --> 0:15:20.120
<v Speaker 10>the kinds of issues that in prior administrations and even

0:15:20.160 --> 0:15:24.000
<v Speaker 10>in other countries might yield a settlement with Amazon rather

0:15:24.040 --> 0:15:25.400
<v Speaker 10>than being taken to court.

0:15:25.680 --> 0:15:28.680
<v Speaker 7>In fact, both the EU the EU settled.

0:15:28.320 --> 0:15:31.280
<v Speaker 8>With Amazon on some of these issues related to prime

0:15:31.400 --> 0:15:34.960
<v Speaker 8>and what they call their Fulfillment by Amazon program last year,

0:15:35.560 --> 0:15:39.280
<v Speaker 8>and the UK is actually exploring a similar settlement. If

0:15:39.360 --> 0:15:42.320
<v Speaker 8>the FTC wanted to take a constructive approach here with

0:15:42.360 --> 0:15:44.520
<v Speaker 8>it with Amazon, I think they could, and frankly, I

0:15:44.560 --> 0:15:45.240
<v Speaker 8>think there's.

0:15:45.040 --> 0:15:47.160
<v Speaker 7>Probably room for compromise.

0:15:47.640 --> 0:15:50.160
<v Speaker 8>But I don't think that's what's going to happen, because

0:15:50.280 --> 0:15:54.320
<v Speaker 8>she has, you know, pretty publicly dismissed settlements again as

0:15:54.360 --> 0:15:57.680
<v Speaker 8>being overly conciliatory sort of trimming your trimming the FTC

0:15:57.800 --> 0:15:59.880
<v Speaker 8>sales too much, and so I don't think I wouldn't

0:16:00.000 --> 0:16:02.120
<v Speaker 8>inspect that next week's meeting will be kind of an

0:16:02.120 --> 0:16:06.160
<v Speaker 8>exchange or real opportunity to have off a lawsuit. It's

0:16:06.200 --> 0:16:08.360
<v Speaker 8>really much more of a formality, and I would expect

0:16:08.360 --> 0:16:11.720
<v Speaker 8>that they'll the FDC will file their lawsuit pretty soon

0:16:11.760 --> 0:16:12.640
<v Speaker 8>after those meetings.

0:16:13.640 --> 0:16:15.800
<v Speaker 1>Since last we spoke at him, I guess the big

0:16:15.840 --> 0:16:18.880
<v Speaker 1>development in the world of technology and antitrust has been

0:16:19.480 --> 0:16:24.200
<v Speaker 1>the Warren Graham Bill, basically the Brawl proposal for a

0:16:24.240 --> 0:16:29.240
<v Speaker 1>new agency to regulate the technology industry. What was the

0:16:29.360 --> 0:16:31.480
<v Speaker 1>Chamber of Progress's response to that?

0:16:32.360 --> 0:16:33.160
<v Speaker 7>We took a look at that.

0:16:33.280 --> 0:16:35.120
<v Speaker 8>I think one of the things that I see a

0:16:35.200 --> 0:16:39.360
<v Speaker 8>lot in tech policy debates is you see policymakers doing

0:16:39.400 --> 0:16:40.520
<v Speaker 8>things like that where they say, well.

0:16:40.480 --> 0:16:43.040
<v Speaker 9>We need a new agency, right, we need a new regulator.

0:16:43.040 --> 0:16:44.320
<v Speaker 7>There are people who called for that.

0:16:45.040 --> 0:16:47.320
<v Speaker 9>What I think that does it's a frankly a little

0:16:47.320 --> 0:16:47.600
<v Speaker 9>bit of.

0:16:47.560 --> 0:16:52.040
<v Speaker 8>A cheat because it puts aside the harder question of

0:16:52.080 --> 0:16:55.160
<v Speaker 8>what behaviors policymakers.

0:16:54.400 --> 0:16:55.000
<v Speaker 7>Want to ban.

0:16:55.160 --> 0:16:55.320
<v Speaker 2>Right.

0:16:55.520 --> 0:16:57.720
<v Speaker 9>I think this Amazon case is a really good example.

0:16:57.760 --> 0:17:00.520
<v Speaker 8>I think many people look at big tech companies and

0:17:00.560 --> 0:17:01.880
<v Speaker 8>they think they've got a lot of power.

0:17:02.360 --> 0:17:04.480
<v Speaker 7>We are to regulate big big companies.

0:17:04.800 --> 0:17:06.720
<v Speaker 9>I think that's something that is broadly popular.

0:17:07.080 --> 0:17:09.119
<v Speaker 8>But then when you look at the details, right this,

0:17:09.119 --> 0:17:11.200
<v Speaker 8>this case, I think largely is going to be about

0:17:11.200 --> 0:17:15.800
<v Speaker 8>Amazon Prime in a route, whether that bundle is pro competitive,

0:17:16.080 --> 0:17:18.640
<v Speaker 8>and so I think that you know, so I think

0:17:18.720 --> 0:17:21.000
<v Speaker 8>I think there's a gap between do we want more regulation,

0:17:21.119 --> 0:17:22.600
<v Speaker 8>Sure most people are for that, but then what do

0:17:22.640 --> 0:17:24.800
<v Speaker 8>we what is the problem we want solved? And again,

0:17:24.800 --> 0:17:26.760
<v Speaker 8>if you look at this Amazon situation, I don't think

0:17:26.760 --> 0:17:28.560
<v Speaker 8>that's that's something they're clamoring for change around.

0:17:29.920 --> 0:17:31.240
<v Speaker 2>So you're a reminder our audience.

0:17:31.280 --> 0:17:33.679
<v Speaker 1>What we've reported is that Chair Lee Na Khan and

0:17:33.720 --> 0:17:37.560
<v Speaker 1>the agency's three other commissioners will meet with Amazon next week.

0:17:37.600 --> 0:17:41.480
<v Speaker 1>According to sources, both Amazon and the FTC declined to comment.

0:17:41.520 --> 0:17:44.280
<v Speaker 1>Adam Baca, it's Chamber of Progress founder and CEO, thank

0:17:44.320 --> 0:17:47.119
<v Speaker 1>you very much. Now coming up here on Bloomberg Technology,

0:17:47.160 --> 0:17:50.159
<v Speaker 1>local NBA games could be coming to your streaming ads

0:17:50.480 --> 0:17:52.560
<v Speaker 1>sooner than you think. We'll talk about the tech giants

0:17:52.560 --> 0:17:54.920
<v Speaker 1>that want those rights and why they're for sale.

0:17:55.040 --> 0:18:11.520
<v Speaker 2>Next. This is Bloomberg Time for Talking Tech.

0:18:11.600 --> 0:18:15.720
<v Speaker 1>First up, super conductor stocks in South Korea plunge Tuesday

0:18:15.760 --> 0:18:19.520
<v Speaker 1>after a US based research center rebutted claims of a

0:18:19.560 --> 0:18:23.239
<v Speaker 1>breakthrough in the technology. A Condensed matter theory center at

0:18:23.280 --> 0:18:27.000
<v Speaker 1>the University of Maryland challenge claims made by Quantum Energy

0:18:27.040 --> 0:18:31.720
<v Speaker 1>Research Center that had synthesized material known as LK ninety nine,

0:18:31.720 --> 0:18:33.520
<v Speaker 1>which we reported on the show.

0:18:33.520 --> 0:18:35.080
<v Speaker 2>Last week and elsewhere.

0:18:35.119 --> 0:18:39.320
<v Speaker 1>Walt Disney, Apple, Amazon, and YouTube have all expressed interest

0:18:39.440 --> 0:18:42.800
<v Speaker 1>in streaming local NBA games. The media and tech giants

0:18:43.040 --> 0:18:46.520
<v Speaker 1>are open to acquiring local rights held currently by Diamond

0:18:46.560 --> 0:18:50.320
<v Speaker 1>Sports Group, but only if they can obtain a critical

0:18:50.640 --> 0:18:53.760
<v Speaker 1>mass of teams that according to Bloomberg's sources, here with

0:18:53.840 --> 0:18:57.560
<v Speaker 1>the latest Bloomberg's Jerry Smith, seems like a lot of

0:18:57.640 --> 0:19:00.359
<v Speaker 1>names throwing their hat in the ring, Jerry, and a

0:19:00.400 --> 0:19:04.440
<v Speaker 1>lot of it contingent on achieving a big package.

0:19:04.480 --> 0:19:06.439
<v Speaker 2>What do we know. Yeah, that's right.

0:19:06.480 --> 0:19:10.119
<v Speaker 11>I mean, that's something we've seen in the sports media industry.

0:19:10.400 --> 0:19:14.280
<v Speaker 11>The biggest change being these big tech companies Amazon, Apple,

0:19:14.320 --> 0:19:18.040
<v Speaker 11>and YouTube really aggressively getting into this space. We've saw

0:19:18.119 --> 0:19:22.359
<v Speaker 11>Amazon with the getting the NFL rights. YouTube is Sunday

0:19:22.400 --> 0:19:26.520
<v Speaker 11>Ticket rights, and Apple has MLS and baseball as well,

0:19:26.920 --> 0:19:30.479
<v Speaker 11>So this is an opportunity now where the local sports

0:19:30.560 --> 0:19:33.879
<v Speaker 11>rights in many cases, many of these teams are broadcast

0:19:33.880 --> 0:19:36.560
<v Speaker 11>by a company called Diamond Sports, groups that file for

0:19:36.600 --> 0:19:41.040
<v Speaker 11>bankruptcy in March, and one thing that bankruptcy allows is

0:19:41.040 --> 0:19:45.000
<v Speaker 11>for Diamond Sports to reject contracts and not pay these teams.

0:19:45.080 --> 0:19:48.000
<v Speaker 11>And when that happens, the rights go back to the

0:19:48.080 --> 0:19:50.960
<v Speaker 11>leagues and then they become up for grabs, and these

0:19:50.960 --> 0:19:54.000
<v Speaker 11>big tech companies as well as Disney which owns ESPN,

0:19:54.119 --> 0:19:57.960
<v Speaker 11>see an opportunity to swoop in and potentially buy these rights.

0:19:58.960 --> 0:20:02.359
<v Speaker 1>Explains to US straighted distinction between so the local level

0:20:02.800 --> 0:20:05.160
<v Speaker 1>and the nationwide level. There's a big audience in bluebog

0:20:05.200 --> 0:20:08.040
<v Speaker 1>technology that aren't even in the US, but the NBA

0:20:08.160 --> 0:20:13.600
<v Speaker 1>is available on many cable streaming platforms. What is it

0:20:13.680 --> 0:20:15.680
<v Speaker 1>specifically that the local rights give you.

0:20:16.200 --> 0:20:16.640
<v Speaker 2>That's right.

0:20:16.680 --> 0:20:19.960
<v Speaker 11>So there's two different really sets of rights in the US.

0:20:20.080 --> 0:20:25.440
<v Speaker 11>There's the national rights, which are owned by ESPN and

0:20:25.600 --> 0:20:28.879
<v Speaker 11>Warner Brothers Discovery, and then in each team's local market,

0:20:29.040 --> 0:20:33.000
<v Speaker 11>there's a broadcaster that broadcast the games just for people

0:20:33.000 --> 0:20:35.960
<v Speaker 11>who live in that city. So if you're a Boston

0:20:36.000 --> 0:20:39.240
<v Speaker 11>Celtics fan, for example, you would be if you're in

0:20:39.240 --> 0:20:41.760
<v Speaker 11>the Boston area, you would get that broadcaster there. So

0:20:42.080 --> 0:20:45.879
<v Speaker 11>these are different teams in different cities, and in a

0:20:45.880 --> 0:20:48.359
<v Speaker 11>lot of cases they have been broadcast by a cable

0:20:48.440 --> 0:20:52.960
<v Speaker 11>channel owner. Diamond a Diamond with a bankruptcy in large

0:20:52.960 --> 0:20:55.200
<v Speaker 11>part because its owner took on a lot of debt

0:20:55.640 --> 0:20:57.920
<v Speaker 11>while there was quirt cutting happening. And now these rights

0:20:57.920 --> 0:20:59.880
<v Speaker 11>are really potentially up for grabs.

0:21:00.600 --> 0:21:03.920
<v Speaker 1>All right, Bloomberg, Jerry Smith for that Bloomberg Reporting, Thank

0:21:04.000 --> 0:21:14.959
<v Speaker 1>you very much. Welcome back to Bloomberg Technology. Ed Ludlow

0:21:15.000 --> 0:21:17.560
<v Speaker 1>here in San Francisco. Quick check in on the markets.

0:21:17.600 --> 0:21:20.640
<v Speaker 1>We've reversed direction on the Nasdaq one hundred, down one

0:21:20.720 --> 0:21:23.120
<v Speaker 1>point four percent. We're down in five of the last

0:21:23.160 --> 0:21:24.879
<v Speaker 1>six sessions at the index level.

0:21:25.160 --> 0:21:26.560
<v Speaker 2>A big part of this is sort of the.

0:21:26.480 --> 0:21:29.240
<v Speaker 1>Macro concern this andit is in the banking sector, some

0:21:29.320 --> 0:21:32.040
<v Speaker 1>worries about China's economy, but as we will tell you

0:21:32.080 --> 0:21:36.040
<v Speaker 1>about later in the program, some weakness in software, particularly

0:21:36.080 --> 0:21:37.960
<v Speaker 1>in the earning story in the outlook for the rest

0:21:37.960 --> 0:21:40.479
<v Speaker 1>of this year. That's weighing on the Nasdaq one hundred.

0:21:40.560 --> 0:21:43.399
<v Speaker 1>Very tech heavy and at different corners of it. Some

0:21:43.480 --> 0:21:47.240
<v Speaker 1>high multiple software names they're trading lower. The other name

0:21:47.240 --> 0:21:50.520
<v Speaker 1>that we're continuing to watch, of course, is Tesla, some

0:21:51.000 --> 0:21:53.240
<v Speaker 1>movement to the downside in last couple of sessions. The

0:21:53.240 --> 0:21:55.359
<v Speaker 1>surprise news twenty four hours ago, which we hit hard

0:21:55.359 --> 0:21:59.360
<v Speaker 1>on this show was Zach kirkcom stepping down after four

0:21:59.400 --> 0:22:02.800
<v Speaker 1>years at c for as CFO, thirteen years in the company.

0:22:03.160 --> 0:22:07.400
<v Speaker 1>Trying to find out the reason why. The replacement Tesla's

0:22:07.440 --> 0:22:10.879
<v Speaker 1>current chief accounting officer, who's also going to keep his

0:22:11.000 --> 0:22:14.000
<v Speaker 1>current post in addition to his new gig. We had

0:22:14.240 --> 0:22:17.159
<v Speaker 1>arcinvest Kafie Wood on the program yesterday. Here's what she

0:22:17.280 --> 0:22:19.000
<v Speaker 1>thought about that that news.

0:22:19.920 --> 0:22:22.679
<v Speaker 2>It's a tough job. It's a tough, tough job.

0:22:22.760 --> 0:22:27.320
<v Speaker 12>So I guess thirteen years was a really good run

0:22:27.359 --> 0:22:30.200
<v Speaker 12>for Zach And can't say enough good things about him

0:22:30.240 --> 0:22:32.439
<v Speaker 12>and what he did for Tesla, but I think he

0:22:32.560 --> 0:22:33.920
<v Speaker 12>trained his successor well.

0:22:35.240 --> 0:22:37.480
<v Speaker 1>For more, let's bring in Bloomberg's Dana Hole, who leads

0:22:37.520 --> 0:22:40.800
<v Speaker 1>our coverage of everything Elon Musk but particularly Tesla. Let's

0:22:40.840 --> 0:22:47.280
<v Speaker 1>be honest surprised that Zach left Tesla. Webav teenager named

0:22:47.320 --> 0:22:50.520
<v Speaker 1>as the CFO and chief accounting officer, and you and

0:22:50.560 --> 0:22:52.600
<v Speaker 1>I sat there and thought, we don't know much about

0:22:52.600 --> 0:22:53.200
<v Speaker 1>this guy.

0:22:52.960 --> 0:22:55.720
<v Speaker 7>Do we We really don't. And the announcement was weird.

0:22:55.760 --> 0:22:58.400
<v Speaker 13>I mean, we learned about this in a filing on Monday,

0:22:58.520 --> 0:23:02.240
<v Speaker 13>but the change was made on Friday, and the regulatory

0:23:02.240 --> 0:23:05.160
<v Speaker 13>filing from Tesla says that Tanisa is going to keep

0:23:05.160 --> 0:23:08.800
<v Speaker 13>his current job as CEO and then basically adding CFO

0:23:08.840 --> 0:23:09.520
<v Speaker 13>to his duties.

0:23:09.520 --> 0:23:11.160
<v Speaker 2>So the guy now has two jobs.

0:23:11.560 --> 0:23:14.240
<v Speaker 1>In your Bloomberg story, you write, Tesla's new CFO indeed

0:23:14.280 --> 0:23:16.960
<v Speaker 1>has two jobs and a lot of question marks.

0:23:17.080 --> 0:23:18.679
<v Speaker 2>What are some of those question marks?

0:23:18.760 --> 0:23:20.639
<v Speaker 13>Yeah, he's just not super well known. I mean a

0:23:20.720 --> 0:23:23.919
<v Speaker 13>lot of investors have never met him. He wasn't like

0:23:24.000 --> 0:23:26.359
<v Speaker 13>on stage at Investor Day. He came up through Price

0:23:26.400 --> 0:23:30.320
<v Speaker 13>Waterhouse Coopers, which is Tesla's outside auditing firm. For seventeen years.

0:23:30.320 --> 0:23:32.600
<v Speaker 13>He was at Solar City. He joined Tesla after the

0:23:32.640 --> 0:23:35.840
<v Speaker 13>acquisition of Solar City. But he's just not someone who

0:23:35.920 --> 0:23:38.400
<v Speaker 13>is super well known to the shareholder base. He's only

0:23:38.400 --> 0:23:40.760
<v Speaker 13>spoken on one earnings call, and that was in early

0:23:40.840 --> 0:23:41.560
<v Speaker 13>twenty nineteen.

0:23:41.800 --> 0:23:42.280
<v Speaker 2>That's right.

0:23:42.359 --> 0:23:44.399
<v Speaker 1>I was going to say, I recognized the name from

0:23:44.440 --> 0:23:48.400
<v Speaker 1>one earning school. He came through Sola City twenty sixteen

0:23:49.320 --> 0:23:53.160
<v Speaker 1>corporate controller and now he kind of has this key

0:23:53.240 --> 0:23:57.800
<v Speaker 1>job because Elon Musk is the CEO, but he's very busy,

0:23:58.080 --> 0:24:01.640
<v Speaker 1>and in the last four years, Zach has really been

0:24:01.680 --> 0:24:04.320
<v Speaker 1>a shining light. Just explained to our audience who are

0:24:04.400 --> 0:24:08.119
<v Speaker 1>less familiar with Zach Kirkhorn the role he's played at

0:24:08.200 --> 0:24:11.040
<v Speaker 1>Tesla beyond just being a pencil pushing CFO.

0:24:11.400 --> 0:24:13.399
<v Speaker 13>Sure, so, I think there's like this trend in corporate

0:24:13.440 --> 0:24:15.520
<v Speaker 13>America where the CFO really has a lot of business

0:24:15.520 --> 0:24:19.760
<v Speaker 13>and operational expertise, and Zach was very intimately involved in

0:24:19.800 --> 0:24:21.160
<v Speaker 13>all aspects of the business.

0:24:21.160 --> 0:24:22.520
<v Speaker 2>He had a lot of director reports.

0:24:22.880 --> 0:24:27.440
<v Speaker 13>He was quite keen on improving profit margins and growing

0:24:27.600 --> 0:24:31.679
<v Speaker 13>Tesla's revenue through other things like Tesla Insurance and software.

0:24:32.080 --> 0:24:34.440
<v Speaker 13>And he spoke quite a lot on the earnings calls,

0:24:34.440 --> 0:24:36.879
<v Speaker 13>and he was often the kind of like yin to

0:24:37.800 --> 0:24:39.879
<v Speaker 13>Musk's yang or whatever you want to call it. Like,

0:24:39.920 --> 0:24:42.199
<v Speaker 13>you know, Musk would make this bombastic pronouncement and then

0:24:42.240 --> 0:24:44.440
<v Speaker 13>Zach would either walk it back or provide more context.

0:24:44.560 --> 0:24:45.200
<v Speaker 5>He was very.

0:24:45.080 --> 0:24:48.560
<v Speaker 13>Measured, and he spoke at great length, and those are

0:24:48.560 --> 0:24:51.320
<v Speaker 13>just big shoes to phill and you know, by all accounts,

0:24:51.720 --> 0:24:54.639
<v Speaker 13>I think what's interesting is that Zach is barely forty.

0:24:54.680 --> 0:24:58.760
<v Speaker 13>I believe he's thirty nine, and I mean that's pretty

0:24:58.800 --> 0:25:00.960
<v Speaker 13>young age to retire. He's got a lot of money

0:25:01.200 --> 0:25:03.240
<v Speaker 13>and he can he can do whatever he wants. So

0:25:03.240 --> 0:25:04.800
<v Speaker 13>I'm very curious to see what he does next.

0:25:05.320 --> 0:25:09.800
<v Speaker 1>Donna, you are excellent at digging deep into the regulatory

0:25:09.800 --> 0:25:12.679
<v Speaker 1>filings in the documents we do have available, and you

0:25:12.720 --> 0:25:17.040
<v Speaker 1>did unearth some information about Tenaja his association with Tesla's

0:25:17.040 --> 0:25:17.879
<v Speaker 1>efforts in India.

0:25:18.320 --> 0:25:20.720
<v Speaker 2>Just tell us a little bit about what you learned. Yeah,

0:25:20.720 --> 0:25:21.280
<v Speaker 2>I mean, there's been.

0:25:21.240 --> 0:25:24.119
<v Speaker 13>A lot of speculation about when Tesla will enter the

0:25:24.160 --> 0:25:26.959
<v Speaker 13>India market, and Teanisia's name is on a filing that

0:25:27.080 --> 0:25:29.000
<v Speaker 13>just sort of shows that they have started to try

0:25:29.000 --> 0:25:30.160
<v Speaker 13>to at least get an office there.

0:25:30.560 --> 0:25:34.040
<v Speaker 1>All Right, Bloomberg's Dona Hole reporting everything we know so

0:25:34.119 --> 0:25:36.239
<v Speaker 1>far about Tesla's and UCFO, But I'm sure we'll learn

0:25:36.280 --> 0:25:39.440
<v Speaker 1>a lot more in the weeks and months to come. Meanwhile,

0:25:39.520 --> 0:25:43.240
<v Speaker 1>another Elon Musk company, Elon Musk's Brain implant company and Euralink,

0:25:43.400 --> 0:25:45.680
<v Speaker 1>has raised two hundred and eighty million dollars to develop

0:25:45.720 --> 0:25:48.600
<v Speaker 1>its technology. The startup announce the funding round in a

0:25:48.680 --> 0:25:52.119
<v Speaker 1>post on Musk's ex social network. The round led by

0:25:52.200 --> 0:25:56.720
<v Speaker 1>founder's fund, the venture capital firm backed by billionaire Peter Teel.

0:25:57.600 --> 0:26:00.680
<v Speaker 1>Now more from our conversation with our investor Kathy Wood,

0:26:00.680 --> 0:26:05.080
<v Speaker 1>who says the SEC may approve multiple spot bitcoin ETFs

0:26:05.320 --> 0:26:07.960
<v Speaker 1>at the same time, reversing in earlier view that her

0:26:08.000 --> 0:26:10.760
<v Speaker 1>firm would be the first in line to get potential

0:26:10.800 --> 0:26:12.560
<v Speaker 1>approval for the long awaited product.

0:26:12.600 --> 0:26:13.040
<v Speaker 2>Have a listen.

0:26:14.160 --> 0:26:17.399
<v Speaker 12>I think the SEC, if it's going to approve a

0:26:17.400 --> 0:26:23.240
<v Speaker 12>bitcoin etf, will approve more than one at once. So

0:26:23.359 --> 0:26:28.800
<v Speaker 12>then again, because most of these essentially will be the same,

0:26:29.520 --> 0:26:33.240
<v Speaker 12>and it will come down to marketing communicating the message.

0:26:33.640 --> 0:26:36.680
<v Speaker 12>You know, we've been putting out our bitcoin monthly for

0:26:36.800 --> 0:26:44.240
<v Speaker 12>the last year. We are now starting a bitcoin brainstorming session.

0:26:44.680 --> 0:26:49.359
<v Speaker 12>Our first one we launched last Thursday. So we're trying

0:26:49.400 --> 0:26:52.120
<v Speaker 12>to get the word out there that you know, our

0:26:52.200 --> 0:26:56.560
<v Speaker 12>research is deep and we've been doing it since twenty

0:26:56.720 --> 0:27:01.359
<v Speaker 12>fifteen when we gained our first exposure to GBTC. We

0:27:01.359 --> 0:27:04.520
<v Speaker 12>were the first public asset manager to gain exposure to

0:27:04.560 --> 0:27:06.560
<v Speaker 12>bitcoin at all in twenty fifteen.

0:27:07.200 --> 0:27:10.280
<v Speaker 14>That's exactly where I want to go the Grayscale Bitcoin Trust,

0:27:10.480 --> 0:27:14.040
<v Speaker 14>known by its ticker GBTC. If you look at ARCW,

0:27:14.200 --> 0:27:18.080
<v Speaker 14>for example, your ARC next Generation Internet ETF. Right now,

0:27:18.400 --> 0:27:19.880
<v Speaker 14>I see GBTC as the.

0:27:19.840 --> 0:27:21.360
<v Speaker 7>Third largest holding.

0:27:21.480 --> 0:27:24.280
<v Speaker 14>If we are in a situation where the SEC does

0:27:24.320 --> 0:27:27.560
<v Speaker 14>give its blessing for a spot bitcoin ETF, would you

0:27:27.680 --> 0:27:30.720
<v Speaker 14>plan to sell out of GBTC and buy one of

0:27:30.760 --> 0:27:32.560
<v Speaker 14>these physically backfunts.

0:27:34.480 --> 0:27:38.280
<v Speaker 12>I cannot talk about what we would and would not do,

0:27:38.440 --> 0:27:44.040
<v Speaker 12>and in fact, our compliance team is, you know, giving

0:27:44.119 --> 0:27:46.600
<v Speaker 12>us marching orders not to talk very much about this

0:27:46.760 --> 0:27:50.720
<v Speaker 12>filing and it's aftermath at all. So just the fact

0:27:50.760 --> 0:27:53.879
<v Speaker 12>that we filed with our partner twenty one shares is

0:27:54.640 --> 0:27:56.520
<v Speaker 12>as far as as I can go.

0:27:57.160 --> 0:28:01.639
<v Speaker 14>Fair sorry, Katie, fair enough now affecting something along those lines,

0:28:02.119 --> 0:28:05.200
<v Speaker 14>I am curious to get your take on the regulatory

0:28:05.280 --> 0:28:08.199
<v Speaker 14>temperature right now, because in addition to this rush of

0:28:08.280 --> 0:28:11.679
<v Speaker 14>spot bitcoin ETF filings that we've seen, there's also been

0:28:11.880 --> 0:28:16.040
<v Speaker 14>sort of a race that's unfolding for an ether futures ETF.

0:28:16.040 --> 0:28:17.000
<v Speaker 5>There's been a ton.

0:28:16.840 --> 0:28:20.840
<v Speaker 14>Of filings to that effect, and not specific to those funds,

0:28:20.840 --> 0:28:24.680
<v Speaker 14>but do you sense that the moon music around the

0:28:24.720 --> 0:28:28.200
<v Speaker 14>SEC and what their appetite to allow these products to

0:28:28.280 --> 0:28:30.879
<v Speaker 14>launch has changed in the last several months.

0:28:32.119 --> 0:28:33.000
<v Speaker 9>Well, I think that.

0:28:34.720 --> 0:28:38.000
<v Speaker 12>The two other branches of government, the judicial branch and

0:28:38.040 --> 0:28:44.800
<v Speaker 12>the legislative branch, are giving the SEC pause because the

0:28:44.840 --> 0:28:47.400
<v Speaker 12>SEC is losing cases in court.

0:28:49.080 --> 0:28:53.360
<v Speaker 1>That was Kathy Wood of ARC Invests. Wow, as Tuesday's goes,

0:28:53.400 --> 0:28:55.760
<v Speaker 1>it's a busy one. Let's get to another story. Apple

0:28:55.880 --> 0:28:59.760
<v Speaker 1>began testing its next gen laptop processor, setting the stage

0:28:59.760 --> 0:29:03.160
<v Speaker 1>for the release of its most powerful MacBook Pro ever,

0:29:03.440 --> 0:29:05.840
<v Speaker 1>which will come next year. The new machine represents the

0:29:05.920 --> 0:29:09.440
<v Speaker 1>latest advance by the company's in house chip efforts and

0:29:09.480 --> 0:29:12.680
<v Speaker 1>could help entice consumers back to a Mac lineup that's

0:29:12.760 --> 0:29:16.080
<v Speaker 1>fallen in sales. All right, coming up here on Bloomberg Technology,

0:29:16.120 --> 0:29:19.360
<v Speaker 1>investing in viintech and disrupting capital markets, what it means

0:29:19.360 --> 0:29:20.960
<v Speaker 1>for European vcs, and the.

0:29:20.920 --> 0:29:24.080
<v Speaker 2>Outlook of course on AI. All that and more. Next

0:29:24.160 --> 0:29:25.240
<v Speaker 2>we run a Yarrod.

0:29:25.000 --> 0:29:28.560
<v Speaker 1>Border in capital quickly we're looking at shares also of Snowflake.

0:29:28.560 --> 0:29:31.280
<v Speaker 1>We talked about Data Dog oder in the program, giving

0:29:31.280 --> 0:29:33.960
<v Speaker 1>that week outlook for the third quarter, Data Dog is

0:29:33.960 --> 0:29:36.160
<v Speaker 1>down by the most on record, eighteen point eight percent,

0:29:36.280 --> 0:29:39.880
<v Speaker 1>biggest percentage decliner on the Nasdaq one hundred, but it

0:29:39.960 --> 0:29:42.600
<v Speaker 1>is dragging other software names where it look at Snowflake

0:29:42.920 --> 0:29:44.520
<v Speaker 1>down almost seven percent.

0:29:44.680 --> 0:30:07.680
<v Speaker 2>This is Bloomberg Technology time for VC Spotlight.

0:30:07.720 --> 0:30:10.040
<v Speaker 1>Today we're going to look closely at the UK and

0:30:10.120 --> 0:30:13.360
<v Speaker 1>European startup scene with a focus on fintech and what's

0:30:13.400 --> 0:30:16.480
<v Speaker 1>happening in the world of AI. Borderson General partner Rannie

0:30:16.520 --> 0:30:19.280
<v Speaker 1>Yard joins us from London Borders and has been investing

0:30:19.560 --> 0:30:21.719
<v Speaker 1>in European tech for twenty two years, raised more than

0:30:21.760 --> 0:30:24.880
<v Speaker 1>four point five billion dollars to deploy across early and

0:30:24.960 --> 0:30:28.560
<v Speaker 1>growth stage startups. Good morning, Good afternoon, you are Ruana.

0:30:28.640 --> 0:30:32.920
<v Speaker 1>Welcome to Bloomberg Technology. Europe's an interesting one, you know,

0:30:33.360 --> 0:30:39.360
<v Speaker 1>not just geographical but economic variants across the continent sector level.

0:30:40.160 --> 0:30:42.400
<v Speaker 1>Where are you spending most of your focus right now

0:30:42.920 --> 0:30:43.480
<v Speaker 1>in Europe?

0:30:44.760 --> 0:30:46.520
<v Speaker 15>First of all, thank you so much for having me

0:30:46.600 --> 0:30:47.720
<v Speaker 15>on your show this morning.

0:30:47.760 --> 0:30:49.040
<v Speaker 16>It's a great pleasure to be here.

0:30:49.640 --> 0:30:52.640
<v Speaker 15>Look, sexual Wise, Balderton, as you said, is twenty two

0:30:52.720 --> 0:30:55.520
<v Speaker 15>years old and so we are a generalist firm. We

0:30:55.560 --> 0:30:59.080
<v Speaker 15>try to spend our time across the perennial sectors, if

0:30:59.120 --> 0:31:02.560
<v Speaker 15>I can call them that. So fintech, the large swaths

0:31:02.560 --> 0:31:06.720
<v Speaker 15>of enterprise, tech, consumer, but also you have the ability

0:31:06.760 --> 0:31:09.480
<v Speaker 15>to be very targeted to the sectors that are most

0:31:09.720 --> 0:31:14.000
<v Speaker 15>prevalent and relevant in Europe at any given moment. Me personally,

0:31:14.040 --> 0:31:16.040
<v Speaker 15>I still spend a lot of my time in fintech,

0:31:16.080 --> 0:31:18.560
<v Speaker 15>given that that is the roots that I have over

0:31:18.600 --> 0:31:20.920
<v Speaker 15>the course of my career. Versus a partner at Goldman

0:31:21.000 --> 0:31:25.560
<v Speaker 15>Sachs and now at Balderton. The firm also spends a

0:31:25.600 --> 0:31:28.040
<v Speaker 15>lot of time on what one might call deep tech.

0:31:28.120 --> 0:31:31.040
<v Speaker 15>So just this morning Morgan Stanley wrote a piece where

0:31:31.280 --> 0:31:34.640
<v Speaker 15>they mentioned specifically that Europe was distinguishing.

0:31:34.040 --> 0:31:36.800
<v Speaker 16>Itself in deep deep tech. That is an area of

0:31:36.840 --> 0:31:39.240
<v Speaker 16>continued interest for the whole firm.

0:31:39.880 --> 0:31:44.440
<v Speaker 1>If we run with fintech as an example, which cities

0:31:44.560 --> 0:31:48.160
<v Speaker 1>have the highest concentration of talent and entrepreneurship right now

0:31:48.240 --> 0:31:50.840
<v Speaker 1>in the fintech space across Europe In the UK.

0:31:52.520 --> 0:31:54.160
<v Speaker 16>It's exactly where you would expect it.

0:31:54.200 --> 0:31:57.760
<v Speaker 15>So London continues to be a leading light in innovation

0:31:57.880 --> 0:32:02.360
<v Speaker 15>with respect to fintech, particularly fintech that's focused on capital

0:32:02.400 --> 0:32:05.320
<v Speaker 15>markets and institutions, which, by the way, when you think

0:32:05.320 --> 0:32:10.200
<v Speaker 15>about the wallet share, companies that serve institutional financial services

0:32:10.560 --> 0:32:15.479
<v Speaker 15>are absolutely dwarfing the wallet's share of the SME and

0:32:15.600 --> 0:32:19.200
<v Speaker 15>consumer of financial services together. So that's a very important

0:32:19.240 --> 0:32:21.920
<v Speaker 15>piece that's based out of London. And we've seen over

0:32:21.960 --> 0:32:24.440
<v Speaker 15>the course of the last five to six years a

0:32:24.520 --> 0:32:27.480
<v Speaker 15>real rise in fintech talent, not only in Germany, which

0:32:27.480 --> 0:32:32.040
<v Speaker 15>everyone talks about, but also in Paris, and indeed quite

0:32:32.080 --> 0:32:35.440
<v Speaker 15>a lot of financial services talent has relocated to Paris

0:32:35.480 --> 0:32:38.000
<v Speaker 15>over the last five to six years. And when those

0:32:38.040 --> 0:32:40.880
<v Speaker 15>individuals are thinking about the companies to start, they're actually

0:32:40.880 --> 0:32:42.480
<v Speaker 15>just doing them exactly where they.

0:32:42.400 --> 0:32:45.160
<v Speaker 1>Are ran a which of the areas that you do

0:32:45.280 --> 0:32:47.600
<v Speaker 1>not like that you're avoiding.

0:32:48.960 --> 0:32:49.959
<v Speaker 16>That's a great question.

0:32:50.080 --> 0:32:53.480
<v Speaker 15>So as a firm, we actually don't make any investments

0:32:53.520 --> 0:32:57.120
<v Speaker 15>in life sciences or biomedical sciences, and the reason for

0:32:57.200 --> 0:33:00.239
<v Speaker 15>that is because we think those are specialist fields that

0:33:00.320 --> 0:33:03.760
<v Speaker 15>actually require PhDs and none of us have those PhDs,

0:33:04.040 --> 0:33:07.680
<v Speaker 15>and so healthy dose of humility keeps us away from

0:33:07.680 --> 0:33:08.280
<v Speaker 15>those areas.

0:33:08.280 --> 0:33:10.240
<v Speaker 16>In particular, one of.

0:33:10.240 --> 0:33:12.240
<v Speaker 1>The big names that we talk about on this program,

0:33:12.280 --> 0:33:16.240
<v Speaker 1>Bloomberg Technology, coming out of London, is revolute right especially

0:33:16.320 --> 0:33:19.840
<v Speaker 1>in the fintech scene. Its latest audit for twenty twenty

0:33:19.880 --> 0:33:23.200
<v Speaker 1>two I think comes next month you were an early investor,

0:33:23.400 --> 0:33:26.480
<v Speaker 1>the firm was an early investor. What's your assessment of

0:33:26.520 --> 0:33:27.440
<v Speaker 1>Revolute right now?

0:33:28.960 --> 0:33:31.600
<v Speaker 15>And we're incredibly proud to have been an early investor

0:33:31.640 --> 0:33:35.800
<v Speaker 15>in Revolute. We've been with Nikolai and the teams together

0:33:35.960 --> 0:33:39.800
<v Speaker 15>since the start of the journey. Our assessment is that

0:33:39.800 --> 0:33:43.200
<v Speaker 15>we're proud to be shareholders and now no longer being

0:33:43.240 --> 0:33:45.360
<v Speaker 15>on the board of the firm. We like you look

0:33:45.480 --> 0:33:48.560
<v Speaker 15>forward to the audit twenty twenty two numbers.

0:33:48.840 --> 0:33:52.960
<v Speaker 1>Many column inches and media articals have also covered the

0:33:53.040 --> 0:33:54.240
<v Speaker 1>leadership of Revolute.

0:33:54.360 --> 0:33:55.560
<v Speaker 2>Are you confident in them?

0:33:55.840 --> 0:33:58.560
<v Speaker 1>Do you think a change is needed to continue to

0:33:58.640 --> 0:34:00.760
<v Speaker 1>scale and work to grow that startup?

0:34:01.720 --> 0:34:04.600
<v Speaker 15>And we continue to have every faith in nicola I

0:34:04.680 --> 0:34:07.120
<v Speaker 15>know as has been well shown from the twenty twenty

0:34:07.160 --> 0:34:10.520
<v Speaker 15>one audited financials and the guidance that they provided with

0:34:10.640 --> 0:34:13.879
<v Speaker 15>respect to twenty two. In those financials, the company has

0:34:13.960 --> 0:34:17.000
<v Speaker 15>continued to grow at an amazing pace since the last

0:34:17.040 --> 0:34:20.279
<v Speaker 15>round that they did, and so if the results are

0:34:20.280 --> 0:34:23.440
<v Speaker 15>the proof of the putting, that indeed our faith is

0:34:23.560 --> 0:34:24.360
<v Speaker 15>very well placed.

0:34:26.000 --> 0:34:28.040
<v Speaker 1>The other sort of bigger theme that we talk about

0:34:28.080 --> 0:34:31.840
<v Speaker 1>here on b Tech is UK and Ai the Prime Minister,

0:34:32.400 --> 0:34:36.239
<v Speaker 1>are the government ministers really talking up the UK is

0:34:36.280 --> 0:34:38.759
<v Speaker 1>a place to do development in the field of AI.

0:34:39.200 --> 0:34:41.960
<v Speaker 1>Have you had any interaction with the PM's office and

0:34:42.040 --> 0:34:45.080
<v Speaker 1>any sort of understanding of what the big picture is there?

0:34:46.080 --> 0:34:48.640
<v Speaker 15>Yeah, So I personally have not had that interaction, but

0:34:48.960 --> 0:34:52.480
<v Speaker 15>the firm has, and in some respect the UK government

0:34:52.600 --> 0:34:56.040
<v Speaker 15>is kind of stating what is exceptionally clear to those

0:34:56.080 --> 0:34:58.520
<v Speaker 15>who have been in academia in the UK for a

0:34:58.560 --> 0:35:02.800
<v Speaker 15>long time. So Cambridge and Oxford are centers of excellence.

0:35:02.840 --> 0:35:06.239
<v Speaker 15>Obviously deep Mind came from there. The autonomous driving car

0:35:06.560 --> 0:35:08.520
<v Speaker 15>wave comes out of that center of excellence.

0:35:09.000 --> 0:35:12.279
<v Speaker 16>Oxford Innovation Endeavors.

0:35:11.800 --> 0:35:15.560
<v Speaker 15>I think formerly called OSI also has had a number

0:35:15.600 --> 0:35:18.400
<v Speaker 15>of companies come out of their labs that focus on

0:35:18.480 --> 0:35:21.640
<v Speaker 15>deep tech and AI, and so the academic scene has

0:35:21.680 --> 0:35:25.600
<v Speaker 15>been unbelievably rich, and then commercializing that that research was

0:35:25.640 --> 0:35:29.319
<v Speaker 15>only the natural next step. So it doesn't surprise us

0:35:29.360 --> 0:35:32.040
<v Speaker 15>to the least that this has turned into a national initiative.

0:35:32.840 --> 0:35:35.160
<v Speaker 1>There's a company in your portfolio that really caught my eye,

0:35:35.239 --> 0:35:36.399
<v Speaker 1>Van Move, the.

0:35:36.400 --> 0:35:37.800
<v Speaker 2>Dutch electric bike company.

0:35:37.840 --> 0:35:42.759
<v Speaker 1>We've written a lot about mobility in Europe at Bloomberg Technology.

0:35:43.920 --> 0:35:44.879
<v Speaker 2>What went wrong there?

0:35:47.239 --> 0:35:49.000
<v Speaker 15>Look, I think we just start with like the very

0:35:49.080 --> 0:35:52.000
<v Speaker 15>obvious point, which is that venture is not a zero

0:35:52.160 --> 0:35:56.520
<v Speaker 15>risk business, and certainly we don't confuse ourselves into thinking

0:35:56.600 --> 0:36:00.600
<v Speaker 15>that it is. Van Move had a mission that we

0:36:00.680 --> 0:36:03.040
<v Speaker 15>believed in frankly that was deeply needed in the world,

0:36:03.120 --> 0:36:07.200
<v Speaker 15>which is that micro mobility is very important towards climate change.

0:36:07.280 --> 0:36:09.960
<v Speaker 16>I think unfortunately they got caught in the challenges that

0:36:10.000 --> 0:36:11.240
<v Speaker 16>are associated with COVID.

0:36:11.880 --> 0:36:14.880
<v Speaker 15>The bicycles were not made in Europe, the supply chains

0:36:14.880 --> 0:36:18.520
<v Speaker 15>were incredibly long. You know, they had the misfortune of

0:36:18.600 --> 0:36:23.719
<v Speaker 15>having bicycles on the Panamax ship that basically got stuck

0:36:23.719 --> 0:36:28.279
<v Speaker 15>in the Suez Canal. And despite all efforts from everyone

0:36:28.840 --> 0:36:31.120
<v Speaker 15>to come with a different outcome, not least of which

0:36:31.160 --> 0:36:35.160
<v Speaker 15>because it's people's livelihoods, the final decision from the shareholders

0:36:35.200 --> 0:36:37.839
<v Speaker 15>and the board was that the supply chain issues were

0:36:37.920 --> 0:36:39.440
<v Speaker 15>just too challenging to continue on.

0:36:40.320 --> 0:36:42.920
<v Speaker 1>The news for our audience was that in Amsterdam court

0:36:43.040 --> 0:36:46.719
<v Speaker 1>declared Van Move's Dutch legal entities bankrupt on Monday, which

0:36:46.719 --> 0:36:48.560
<v Speaker 1>is why I asked about it. But as you say,

0:36:48.960 --> 0:36:52.600
<v Speaker 1>venture not a zero risk business. Borders in capital general

0:36:52.640 --> 0:36:55.440
<v Speaker 1>partner RANI are really good to get the perspective of

0:36:55.440 --> 0:37:06.880
<v Speaker 1>what's happening in European tech Thank you. Spotify's AI powered

0:37:06.960 --> 0:37:11.120
<v Speaker 1>DJ's going global just six months after debuting in North America.

0:37:11.200 --> 0:37:15.160
<v Speaker 1>Spotify listeners in countries like Sweden, Australia, and Singapore will

0:37:15.160 --> 0:37:18.120
<v Speaker 1>be able to access the personalized DJ that comes up

0:37:18.120 --> 0:37:22.600
<v Speaker 1>with curated music selection selections that include spoken word commentary

0:37:22.880 --> 0:37:27.399
<v Speaker 1>by artificial intelligence. The Ad Sultan, Spotify's VP of Personalization,

0:37:27.880 --> 0:37:30.160
<v Speaker 1>joins us now from our New York studios. The thing

0:37:30.160 --> 0:37:33.080
<v Speaker 1>about the AIDJ is it's multifaceted. Let's start with the

0:37:33.120 --> 0:37:38.920
<v Speaker 1>recommendations aspect. The technology is taking your listening history, the

0:37:39.040 --> 0:37:43.319
<v Speaker 1>data from your profile to another level. Explain how so,

0:37:43.960 --> 0:37:44.880
<v Speaker 1>thank you for having me.

0:37:45.280 --> 0:37:47.359
<v Speaker 17>We are very excited about this product because what we

0:37:47.640 --> 0:37:49.200
<v Speaker 17>are doing with the AIDJ is.

0:37:49.200 --> 0:37:51.400
<v Speaker 5>Really transforming the way people listen to music.

0:37:51.880 --> 0:37:56.279
<v Speaker 17>What we have created is a personalized AI guide for you,

0:37:56.320 --> 0:37:59.560
<v Speaker 17>for every single user that knows you and your music

0:37:59.600 --> 0:38:02.920
<v Speaker 17>taste better than anything before and can therefore create this

0:38:03.040 --> 0:38:06.319
<v Speaker 17>lineup that is really special, with commentary that explains to

0:38:06.360 --> 0:38:09.520
<v Speaker 17>you why you are listening to this particular song or

0:38:09.600 --> 0:38:12.000
<v Speaker 17>track or artist and also tells you why you should

0:38:12.040 --> 0:38:15.200
<v Speaker 17>care right so you're more open to discovery. And by

0:38:15.239 --> 0:38:18.359
<v Speaker 17>doing so, with the stunning realistic voice and this form

0:38:18.400 --> 0:38:22.120
<v Speaker 17>factor of an AIDGIT just for you, it is able

0:38:22.200 --> 0:38:22.800
<v Speaker 17>to also.

0:38:22.640 --> 0:38:24.280
<v Speaker 5>Learn from you better than ever before.

0:38:24.600 --> 0:38:27.360
<v Speaker 17>And so it takes this metaphor we've always had with

0:38:27.480 --> 0:38:30.920
<v Speaker 17>Spotify of creating. You know, we've had this metaphor of

0:38:30.960 --> 0:38:33.520
<v Speaker 17>what if you had your own personalized DJ, what would

0:38:33.520 --> 0:38:36.319
<v Speaker 17>they do for discovery? They would create Discover weekly, they

0:38:36.320 --> 0:38:39.440
<v Speaker 17>would curate your homepage, your daily mix. But this metaphor

0:38:40.000 --> 0:38:42.160
<v Speaker 17>is now a reality. So that's why we're so excited

0:38:42.160 --> 0:38:45.640
<v Speaker 17>to have built this product, and it actually recommends better

0:38:45.680 --> 0:38:47.399
<v Speaker 17>and learns better than anything we've done before.

0:38:49.960 --> 0:38:52.359
<v Speaker 1>Of Spotify around the world will be used to sing

0:38:52.560 --> 0:38:55.640
<v Speaker 1>lyrics or even video now when you have your favorite

0:38:55.719 --> 0:39:00.480
<v Speaker 1>tracks playing in playlist form. But the technology level, this

0:39:00.520 --> 0:39:03.440
<v Speaker 1>is a partnership with open AI that provides a lot

0:39:03.480 --> 0:39:06.719
<v Speaker 1>more information about the artist or the song explain how

0:39:06.760 --> 0:39:07.240
<v Speaker 1>it works.

0:39:08.080 --> 0:39:11.520
<v Speaker 17>So this is taking generative AI on two levels. One

0:39:11.719 --> 0:39:15.359
<v Speaker 17>is in the commentary itself, the fact about the track

0:39:15.440 --> 0:39:17.440
<v Speaker 17>or the artist. Why should you care about the song?

0:39:17.480 --> 0:39:19.920
<v Speaker 17>What's important about it? So that is one aspect of

0:39:19.960 --> 0:39:22.840
<v Speaker 17>generative AI we're using, and the other one is, of course,

0:39:23.080 --> 0:39:27.000
<v Speaker 17>this incredibly realistic voice that brings a lot of passion

0:39:27.360 --> 0:39:30.240
<v Speaker 17>and a lot of charisma and a lot of warmth

0:39:30.280 --> 0:39:32.640
<v Speaker 17>to the recommendations of the DJ. So we are taking

0:39:32.800 --> 0:39:36.200
<v Speaker 17>those two aspects of generative AI and we are putting

0:39:36.239 --> 0:39:39.719
<v Speaker 17>them in the hands of music experts inside Spotify, which

0:39:39.760 --> 0:39:42.279
<v Speaker 17>are our music editors. They are some of the most

0:39:42.320 --> 0:39:46.160
<v Speaker 17>knowledgeable and passionate people about music in the world. So

0:39:46.160 --> 0:39:50.399
<v Speaker 17>we take this generative AI technology, including in house and

0:39:51.080 --> 0:39:53.399
<v Speaker 17>some of the work we've done with external partners such

0:39:53.400 --> 0:39:56.239
<v Speaker 17>as open AI, but we're taking that technology and in

0:39:56.280 --> 0:40:00.480
<v Speaker 17>the hands of our music experts. It actually brings something

0:40:00.520 --> 0:40:04.239
<v Speaker 17>new to both listeners and to creators. For listeners it

0:40:04.320 --> 0:40:07.640
<v Speaker 17>expands their horizon, and for creators it introduces them to

0:40:07.680 --> 0:40:08.320
<v Speaker 17>new audiences.

0:40:09.640 --> 0:40:09.920
<v Speaker 2>Ziad.

0:40:10.000 --> 0:40:14.680
<v Speaker 1>When you announced last summer that you were acquiring Sonantic,

0:40:15.360 --> 0:40:17.399
<v Speaker 1>many were like, you know, what's going on here? How

0:40:17.440 --> 0:40:20.480
<v Speaker 1>does this end up in the platform? That's the final

0:40:20.560 --> 0:40:23.840
<v Speaker 1>part right of the AIDJ A voice component.

0:40:24.520 --> 0:40:26.239
<v Speaker 2>Why did you do that? Well?

0:40:26.440 --> 0:40:29.920
<v Speaker 17>Very much, so we did that because when you think

0:40:29.960 --> 0:40:32.760
<v Speaker 17>about our mission, it is really to connect to listeners

0:40:32.760 --> 0:40:35.719
<v Speaker 17>and artists, and very much what we do is audio, right,

0:40:35.800 --> 0:40:37.759
<v Speaker 17>So when you are doing that, you're listening to this

0:40:37.800 --> 0:40:42.360
<v Speaker 17>new song. The best possible way to introduce you to

0:40:42.400 --> 0:40:44.719
<v Speaker 17>a new song is to give you the audio commentary,

0:40:44.800 --> 0:40:47.600
<v Speaker 17>the reason why you are listening to that song, why

0:40:47.640 --> 0:40:50.080
<v Speaker 17>you should care, and also it gives you a chance

0:40:50.120 --> 0:40:52.279
<v Speaker 17>to try it out. And we have found in the

0:40:52.360 --> 0:40:55.080
<v Speaker 17>data since we have started rolling out our data that

0:40:55.320 --> 0:40:59.359
<v Speaker 17>users who hear commentary from that stunning realistic voice from

0:40:59.400 --> 0:41:03.440
<v Speaker 17>Sonantic technology that we acquired, when you hear that commentary,

0:41:03.680 --> 0:41:06.799
<v Speaker 17>you are much more likely to try something new. And

0:41:06.840 --> 0:41:09.120
<v Speaker 17>when you are more likely to try something new, your

0:41:09.160 --> 0:41:11.879
<v Speaker 17>lives get better as a user. The artist benefits because

0:41:11.920 --> 0:41:14.279
<v Speaker 17>they grow their audience. And this is happening in a

0:41:14.320 --> 0:41:17.359
<v Speaker 17>way that has never happened before because in great part

0:41:17.760 --> 0:41:21.480
<v Speaker 17>of that voice technology that you mentioned, you.

0:41:21.400 --> 0:41:23.160
<v Speaker 1>Know, I pit point one thing out is yead that

0:41:23.239 --> 0:41:25.680
<v Speaker 1>this is still in beta phase in many countries the

0:41:25.760 --> 0:41:28.880
<v Speaker 1>early rollout. It's global, but there are many countries that

0:41:28.920 --> 0:41:31.720
<v Speaker 1>don't have it. Come back when the full rollout happens.

0:41:31.760 --> 0:41:34.719
<v Speaker 1>He had Sultan's, Spotify's VP of Personalization.

0:41:34.880 --> 0:41:35.759
<v Speaker 2>Thank you now.

0:41:35.760 --> 0:41:38.520
<v Speaker 1>That does it for this edition of Bloomberg Technology. We're

0:41:38.520 --> 0:41:40.759
<v Speaker 1>only two days into the week, and my goodness, what

0:41:40.840 --> 0:41:42.960
<v Speaker 1>a week. It's been so don't forget check out the podcast,

0:41:42.960 --> 0:41:47.120
<v Speaker 1>where we will recap everything from the program on Apple, Spotify, iHeart,

0:41:47.360 --> 0:41:50.920
<v Speaker 1>and of course, on the Bloomberg platforms. The earning season continues.

0:41:50.960 --> 0:41:53.120
<v Speaker 1>There are big interviews coming up here on the show

0:41:53.160 --> 0:41:56.680
<v Speaker 1>this week from San Francisco. This is Bloomberg Technology